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Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA

2

Model documentation report: Commercial Sector Demand Module of the National Energy Modeling System  

SciTech Connect

This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. The NEMS Commercial Sector Demand Module is a simulation tool based upon economic and engineering relationships that models commercial sector energy demands at the nine Census Division level of detail for eleven distinct categories of commercial buildings. Commercial equipment selections are performed for the major fuels of electricity, natural gas, and distillate fuel, for the major services of space heating, space cooling, water heating, ventilation, cooking, refrigeration, and lighting. The algorithm also models demand for the minor fuels of residual oil, liquefied petroleum gas, steam coal, motor gasoline, and kerosene, the renewable fuel sources of wood and municipal solid waste, and the minor services of office equipment. Section 2 of this report discusses the purpose of the model, detailing its objectives, primary input and output quantities, and the relationship of the Commercial Module to the other modules of the NEMS system. Section 3 of the report describes the rationale behind the model design, providing insights into further assumptions utilized in the model development process to this point. Section 3 also reviews alternative commercial sector modeling methodologies drawn from existing literature, providing a comparison to the chosen approach. Section 4 details the model structure, using graphics and text to illustrate model flows and key computations.

NONE

1998-01-01T23:59:59.000Z

3

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 39 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial.

4

Model documentation report: Commercial Sector Demand Module of the National Energy Modeling System  

SciTech Connect

This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. This report serves three purposes. First, it is a reference document providing a detailed description for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports (Public Law 93-275, section 57(b)(1)). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.

NONE

1995-02-01T23:59:59.000Z

5

Model documentation report: Commercial sector demand module of the national energy modeling system  

SciTech Connect

This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. This document serves three purposes. First, it is a reference document providing a detailed description for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports. Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.

NONE

1994-08-01T23:59:59.000Z

6

Modeling of Demand Side Management Options for Commercial Sector in Maharashtra  

Science Journals Connector (OSTI)

Abstract There has been an unbalance between demand and supply of electricity in Maharashtra, a shortage of 20% peak power was reported in year 2011-12. Demand side management (DSM) in the commercial sector (consuming about 12% of the state electricity) can help to bridge this gap. In this paper three DSM options namely global temperature adjustment (GTA), chilled water storage (CWS) and variable air volume system (VAVS) are evaluated to give potential energy savings and load shifting. Simulation of GTA model for a sample school building gave 21.3% saving in compressor work for a change of room settings from 23oC, 50% RH to 26oC, 40% RH. Model for CWS was simulated for an office building in Mumbai; the results showed a cooling load shifting of 1638TRh out of 2075TRh was possible with an optimum tank size of 450kl. Simulation of VAVS for a sample school building showed fan energy savings of 68% over CAVS.

Vishal Vadabhat; Rangan Banerjee

2014-01-01T23:59:59.000Z

7

Commercial & Industrial Demand Response  

NLE Websites -- All DOE Office Websites (Extended Search)

Resources News & Events Expand News & Events Skip navigation links Smart Grid Demand Response Agricultural Residential Demand Response Commercial & Industrial Demand Response...

8

Cross-sector Demand Response  

NLE Websites -- All DOE Office Websites (Extended Search)

Resources News & Events Expand News & Events Skip navigation links Smart Grid Demand Response Agricultural Residential Demand Response Commercial & Industrial Demand Response...

9

Guidelines for Marketing Demand-Side Management in the Commercial Sector  

E-Print Network (OSTI)

For the past decade, electric and gas utilities throughout the nation, not just in hot and humid climates, have promoted energy efficiency through a variety of demand-side management (DSM) programs. In 1984, the Electric Power Research Institute...

George, S. S.

1988-01-01T23:59:59.000Z

10

EIA - Assumptions to the Annual Energy Outlook 2008 - Commercial Demand  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2008 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.1

11

EIA - Assumptions to the Annual Energy Outlook 2009 - Commercial Demand  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2009 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.1

12

EIA - Assumptions to the Annual Energy Outlook 2010 - Commercial Demand  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2009 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services [1].

13

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

4 4 The commercial module forecasts consumption by fuel 15 at the Census division level using prices from the NEMS energy supply modules, and macroeconomic variables from the NEMS Macroeconomic Activity Module (MAM), as well as external data sources (technology characterizations, for example). Energy demands are forecast for ten end-use services 16 for eleven building categories 17 in each of the nine Census divisions (see Figure 5). The model begins by developing forecasts of floorspace for the 99 building category and Census division combinations. Next, the ten end-use service demands required for the projected floorspace are developed. The electricity generation and water and space heating supplied by distributed generation and combined heat and power technologies are projected. Technologies are then

14

Assumptions to the Annual Energy Outlook 2001 - Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module The NEMS Commercial Sector Demand Module generates forecasts of commercial sector energy demand through 2020. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for

15

Assumptions to the Annual Energy Outlook 2002 - Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module The NEMS Commercial Sector Demand Module generates forecasts of commercial sector energy demand through 2020. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for

16

Assumptions to the Annual Energy Outlook 1999 - Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

commercial.gif (5196 bytes) commercial.gif (5196 bytes) The NEMS Commercial Sector Demand Module generates forecasts of commercial sector energy demand through 2020. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings, however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.12

17

EIA-Assumptions to the Annual Energy Outlook - Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2007 Commercial Demand Module The NEMS Commercial Sector Demand Module generates forecasts of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.12

18

The National Energy Modeling System: An Overview 1998 - Commercial Demand  

Gasoline and Diesel Fuel Update (EIA)

COMMERCIAL DEMAND MODULE COMMERCIAL DEMAND MODULE blueball.gif (205 bytes) Floorspace Submodule blueball.gif (205 bytes) Energy Service Demand Submodule blueball.gif (205 bytes) Equipment Choice Submodule blueball.gif (205 bytes) Energy Consumption Submodule The commercial demand module (CDM) forecasts energy consumption by Census division for eight marketed energy sources plus solar thermal energy. For the three major commercial sector fuels, electricity, natural gas and distillate oil, the CDM is a "structural" model and its forecasts are built up from projections of the commercial floorspace stock and of the energy-consuming equipment contained therein. For the remaining five marketed "minor fuels," simple econometric projections are made. The commercial sector encompasses business establishments that are not

19

Utility Sector Impacts of Reduced Electricity Demand  

SciTech Connect

This report presents a new approach to estimating the marginal utility sector impacts associated with electricity demand reductions. The method uses publicly available data and provides results in the form of time series of impact factors. The input data are taken from the Energy Information Agency's Annual Energy Outlook (AEO) projections of how the electric system might evolve in the reference case, and in a number of side cases that incorporate different effciency and other policy assumptions. The data published with the AEO are used to define quantitative relationships between demand-side electricity reductions by end use and supply-side changes to capacity by plant type, generation by fuel type and emissions of CO2, Hg, NOx and SO2. The impact factors define the change in each of these quantities per unit reduction in site electricity demand. We find that the relative variation in these impacts by end use is small, but the time variation can be significant.

Coughlin, Katie

2014-12-01T23:59:59.000Z

20

Hawaii demand-side management resource assessment. Final report, Reference Volume 3 -- Residential and commercial sector DSM analyses: Detailed results from the DBEDT DSM assessment model; Part 1, Technical potential  

SciTech Connect

The Hawaii Demand-Side Management Resource Assessment was the fourth of seven projects in the Hawaii Energy Strategy (HES) program. HES was designed by the Department of Business, Economic Development, and Tourism (DBEDT) to produce an integrated energy strategy for the State of Hawaii. The purpose of Project 4 was to develop a comprehensive assessment of Hawaii`s demand-side management (DSM) resources. To meet this objective, the project was divided into two phases. The first phase included development of a DSM technology database and the identification of Hawaii commercial building characteristics through on-site audits. These Phase 1 products were then used in Phase 2 to identify expected energy impacts from DSM measures in typical residential and commercial buildings in Hawaii. The building energy simulation model DOE-2.1E was utilized to identify the DSM energy impacts. More detailed information on the typical buildings and the DOE-2.1E modeling effort is available in Reference Volume 1, ``Building Prototype Analysis``. In addition to the DOE-2.1E analysis, estimates of residential and commercial sector gas and electric DSM potential for the four counties of Honolulu, Hawaii, Maui, and Kauai through 2014 were forecasted by the new DBEDT DSM Assessment Model. Results from DBEDTs energy forecasting model, ENERGY 2020, were linked with results from DOE-2.1E building energy simulation runs and estimates of DSM measure impacts, costs, lifetime, and anticipated market penetration rates in the DBEDT DSM Model. Through its algorithms, estimates of DSM potential for each forecast year were developed. Using the load shape information from the DOE-2.1E simulation runs, estimates of electric peak demand impacts were developed. Numerous tables and figures illustrating the technical potential for demand-side management are included.

NONE

1995-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

BUILDINGS SECTOR DEMAND-SIDE EFFICIENCY TECHNOLOGY SUMMARIES  

E-Print Network (OSTI)

............................................................................................... 2 Demand-Side Efficiency Technologies I. Energy Management Systems (EMSsLBL-33887 UC-000 BUILDINGS SECTOR DEMAND-SIDE EFFICIENCY TECHNOLOGY SUMMARIES Jonathan G. Koomey

22

Strategies for Demand Response in Commercial Buildings  

SciTech Connect

This paper describes strategies that can be used in commercial buildings to temporarily reduce electric load in response to electric grid emergencies in which supplies are limited or in response to high prices that would be incurred if these strategies were not employed. The demand response strategies discussed herein are based on the results of three years of automated demand response field tests in which 28 commercial facilities with an occupied area totaling over 11 million ft{sup 2} were tested. Although the demand response events in the field tests were initiated remotely and performed automatically, the strategies used could also be initiated by on-site building operators and performed manually, if desired. While energy efficiency measures can be used during normal building operations, demand response measures are transient; they are employed to produce a temporary reduction in demand. Demand response strategies achieve reductions in electric demand by temporarily reducing the level of service in facilities. Heating ventilating and air conditioning (HVAC) and lighting are the systems most commonly adjusted for demand response in commercial buildings. The goal of demand response strategies is to meet the electric shed savings targets while minimizing any negative impacts on the occupants of the buildings or the processes that they perform. Occupant complaints were minimal in the field tests. In some cases, ''reductions'' in service level actually improved occupant comfort or productivity. In other cases, permanent improvements in efficiency were discovered through the planning and implementation of ''temporary'' demand response strategies. The DR strategies that are available to a given facility are based on factors such as the type of HVAC, lighting and energy management and control systems (EMCS) installed at the site.

Watson, David S.; Kiliccote, Sila; Motegi, Naoya; Piette, Mary Ann

2006-06-20T23:59:59.000Z

23

Financing Energy Efficiency Retrofits in the Commercial Sector Webinar  

Energy.gov (U.S. Department of Energy (DOE))

Financing Energy Efficiency Retrofits in the Commercial Sector Webinar, from the U.S. Department of Energy's Better Buildings program.

24

Types of Nuclear Industry Jobs Commercial and Government Sectors  

NLE Websites -- All DOE Office Websites (Extended Search)

Jobs Commercial and Government Sectors Professional Category Technician Category Engineer Category Craft Category Chemist Chemistry Technician Chemical Engineer Boilermaker...

25

Major models and data sources for residential and commercial sector energy conservation analysis. Final report  

SciTech Connect

Major models and data sources are reviewed that can be used for energy-conservation analysis in the residential and commercial sectors to provide an introduction to the information that can or is available to DOE in order to further its efforts in analyzing and quantifying their policy and program requirements. Models and data sources examined in the residential sector are: ORNL Residential Energy Model; BECOM; NEPOOL; MATH/CHRDS; NIECS; Energy Consumption Data Base: Household Sector; Patterns of Energy Use by Electrical Appliances Data Base; Annual Housing Survey; 1970 Census of Housing; AIA Research Corporation Data Base; RECS; Solar Market Development Model; and ORNL Buildings Energy Use Data Book. Models and data sources examined in the commercial sector are: ORNL Commercial Sector Model of Energy Demand; BECOM; NEPOOL; Energy Consumption Data Base: Commercial Sector; F.W. Dodge Data Base; NFIB Energy Report for Small Businesses; ADL Commercial Sector Energy Use Data Base; AIA Research Corporation Data Base; Nonresidential Buildings Surveys of Energy Consumption; General Electric Co: Commercial Sector Data Base; The BOMA Commercial Sector Data Base; The Tishman-Syska and Hennessy Data Base; The NEMA Commercial Sector Data Base; ORNL Buildings Energy Use Data Book; and Solar Market Development Model. Purpose; basis for model structure; policy variables and parameters; level of regional, sectoral, and fuels detail; outputs; input requirements; sources of data; computer accessibility and requirements; and a bibliography are provided for each model and data source.

Not Available

1980-09-01T23:59:59.000Z

26

Buildings Energy Data Book: 3.2 Commercial Sector Characteristics  

Buildings Energy Data Book (EERE)

7 7 Commercial Building Median Lifetimes (Years) Building Type Median (1) 66% Survival (2) 33% Survival (2) Assembly 55 40 75 Education 62 45 86 Food Sales 55 41 74 Food Service 50 35 71 Health Care 55 42 73 Large Office 65 46 92 Mercantile & Service 50 36 69 Small Office 58 41 82 Warehouse 58 41 82 Lodging 53 38 74 Other 60 44 81 Note(s): Source(s): 1) PNNL estimates the median lifetime of commercial buildings is 70-75 years. 2) Number of years after which the building survives. For example, a third of the large office buildings constructed today will survive 92 years later. EIA, Assumptions for the Annual Energy Outlook 2011, July 2011, Table 5.2, p. 40; EIA, Model Documentation Report: Commercial Sector 'Demand Module of the National Energy Modeling System, May 2010, p. 30-35; and PNNL, Memorandum: New Construction in the Annual Energy Outlook 2003, Apr. 24,

27

Energy Demand and Emission from Transport Sector in China  

Science Journals Connector (OSTI)

This paper aims to present a comprehensive overview of the current status and future trends of energy demand and emissions from transportation sector in China. ... a brief review of the national profile of energy

Yin Huang; Mengjun Wang

2013-01-01T23:59:59.000Z

28

Strategies for Demand Response in Commercial Buildings  

E-Print Network (OSTI)

Fully Automated Demand Response Tests in Large Facilitiesof Fully Automated Demand Response in Large Facilities,was coordinated by the Demand Response Research Center and

Watson, David S.; Kiliccote, Sila; Motegi, Naoya; Piette, Mary Ann

2006-01-01T23:59:59.000Z

29

Commercial Buildings Sector Agent-Based Model | Open Energy Information  

Open Energy Info (EERE)

Commercial Buildings Sector Agent-Based Model Commercial Buildings Sector Agent-Based Model Jump to: navigation, search Tool Summary Name: Commercial Buildings Sector Agent-Based Model Agency/Company /Organization: Argonne National Laboratory Sector: Energy Focus Area: Buildings - Commercial Phase: Evaluate Options Topics: Implementation Resource Type: Technical report User Interface: Website Website: web.anl.gov/renewables/research/building_agent_based_model.html OpenEI Keyword(s): EERE tool, Commercial Buildings Sector Agent-Based Model Language: English References: Building Efficiency: Development of an Agent-based Model of the US Commercial Buildings Sector[1] Model the market-participants, dynamics, and constraints-help decide whether to adopt energy-efficient technologies to meet commercial building

30

Scenario Analysis of Peak Demand Savings for Commercial Buildings with  

NLE Websites -- All DOE Office Websites (Extended Search)

Scenario Analysis of Peak Demand Savings for Commercial Buildings with Scenario Analysis of Peak Demand Savings for Commercial Buildings with Thermal Mass in California Title Scenario Analysis of Peak Demand Savings for Commercial Buildings with Thermal Mass in California Publication Type Conference Paper LBNL Report Number LBNL-3636e Year of Publication 2010 Authors Yin, Rongxin, Sila Kiliccote, Mary Ann Piette, and Kristen Parrish Conference Name 2010 ACEEE Summer Study on Energy Efficiency in Buildings Conference Location Pacific Grove, CA Keywords demand response and distributed energy resources center, demand response research center, demand shifting (pre-cooling), DRQAT Abstract This paper reports on the potential impact of demand response (DR) strategies in commercial buildings in California based on the Demand Response Quick Assessment Tool (DRQAT), which uses EnergyPlus simulation prototypes for office and retail buildings. The study describes the potential impact of building size, thermal mass, climate, and DR strategies on demand savings in commercial buildings. Sensitivity analyses are performed to evaluate how these factors influence the demand shift and shed during the peak period. The whole-building peak demand of a commercial building with high thermal mass in a hot climate zone can be reduced by 30% using an optimized demand response strategy. Results are summarized for various simulation scenarios designed to help owners and managers understand the potential savings for demand response deployment. Simulated demand savings under various scenarios were compared to field-measured data in numerous climate zones, allowing calibration of the prototype models. The simulation results are compared to the peak demand data from the Commercial End-Use Survey for commercial buildings in California. On the economic side, a set of electricity rates are used to evaluate the impact of the DR strategies on economic savings for different thermal mass and climate conditions. Our comparison of recent simulation to field test results provides an understanding of the DR potential in commercial buildings.

31

Automated Demand Response Benefits California Utilities and Commercial...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

. U.S. Department of Energy |September 2014 Automated Demand Response Benefits California Utilities and Commercial & Industrial Customers Page 1 Under the American Recovery and...

32

Automated demand response applied to a set of commercial facilities.  

E-Print Network (OSTI)

?? Commercial facility demand response refers to voluntary actions by customers that change their consumption of electric power in response to price signals, incentives, or (more)

Lincoln, Donald F.

2010-01-01T23:59:59.000Z

33

Automated demand response applied to a set of commercial buildings.  

E-Print Network (OSTI)

??Commercial facility demand response refers to voluntary actions by customers that change their consumption of electric power in response to price signals, incentives, or directions (more)

Lincoln, Donald

2010-01-01T23:59:59.000Z

34

EA-0513: Approaches for Acquiring Energy Savings in Commercial Sector  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

13: Approaches for Acquiring Energy Savings in Commercial 13: Approaches for Acquiring Energy Savings in Commercial Sector Buildings, Bonneville Power Administration EA-0513: Approaches for Acquiring Energy Savings in Commercial Sector Buildings, Bonneville Power Administration SUMMARY This EA evaluates the environmental impacts of a proposal for DOE's Bonneville Power Administration to use several diverse approaches to purchase or acquire energy savings from commercial sector buildings region wide. PUBLIC COMMENT OPPORTUNITIES None available at this time. DOCUMENTS AVAILABLE FOR DOWNLOAD September 25, 1991 EA-0513: Final Environmental Assessment Approaches for Acquiring Energy Savings in Commercial Sector Buildings, Bonneville Power Administration September 25, 1991 EA-0513: Finding of No Significant Impact Approaches for Acquiring Energy Savings in Commercial Sector Buildings,

35

EnerNOC Inc. Commercial & Industrial Demand Response  

E-Print Network (OSTI)

© EnerNOC Inc. Commercial & Industrial Demand Response: An Overview of the Utility/Aggregator Business Model Pacific Northwest Demand Response Project April 28, 2011 #12;22 Agenda Introduction Ener #12;77 Whos EnerNOC? Market Leader in C&I Demand Response and Industrial Energy Efficiency More than

36

EIA Energy Efficiency-Commercial Buildings Sector Energy Intensities,  

U.S. Energy Information Administration (EIA) Indexed Site

Commercial Buildings Sector Energy Intensities Commercial Buildings Sector Energy Intensities Commercial Buildings Sector Energy Intensities: 1992- 2003 Released Date: December 2004 Page Last Revised: August 2009 These tables provide estimates of commercial sector energy consumption and energy intensities for 1992, 1995, 1999 and 2003 based on the Commercial Buildings Energy Consumption Survey (CBECS). They also provide estimates of energy consumption and intensities adjusted for the effect of weather on heating, cooling, and ventilation energy use. Total Site Energy Consumption (U.S. and Census Region) Html Excel PDF bullet By Principal Building Activity (Table 1a) html Table 1a excel table 1a. pdf table 1a. Weather-Adjusted by Principal Building Activity (Table 1b) html table 1b excel table 1b pdf table 1b.

37

Demand Shifting With Thermal Mass in Large Commercial Buildings: Case  

NLE Websites -- All DOE Office Websites (Extended Search)

Demand Shifting With Thermal Mass in Large Commercial Buildings: Case Demand Shifting With Thermal Mass in Large Commercial Buildings: Case Studies and Tools Speaker(s): Peng Xu Date: March 9, 2007 - 12:00pm Location: 90-3122 The idea of pre-cooling and demand limiting is to pre-cool buildings at night or in the morning during off-peak hours, storing cooling energy in the building thermal mass and thereby reducing cooling loads during the peak periods. Savings are achieved by reducing on-peak energy and demand charges. The potential for utilizing building thermal mass for load shifting and peak demand reduction has been demonstrated in a number of simulation, laboratory, and field studies. Case studies in a number of office buildings in California has found that a simple demand limiting strategy reduced the chiller power by 20-100% (0.5-2.3W/ft2) during six

38

Economic Development and the Structure of the Demand for Commercial Energy Ruth A. Judson, Richard Schmalensee and Thomas M. Stoker*  

E-Print Network (OSTI)

development and energy demand, this study estimates the Engel curves that relate per-capita energy consumption in major economic sectors to per- capita GDP. Panel data covering up to 123 nations are employedEconomic Development and the Structure of the Demand for Commercial Energy Ruth A. Judson, Richard

39

Energy Conservation and Commercialization in Gujarat: Report On Demand Side  

Open Energy Info (EERE)

Energy Conservation and Commercialization in Gujarat: Report On Demand Side Energy Conservation and Commercialization in Gujarat: Report On Demand Side Management (DSM) In Gujarat Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Conservation and Commercialization in Gujarat: Report On Demand Side Management (DSM) In Gujarat Focus Area: Crosscutting Topics: Opportunity Assessment & Screening Website: eco3.org/wp-content/plugins/downloads-manager/upload/Report%20on%20Dem Equivalent URI: cleanenergysolutions.org/content/energy-conservation-and-commercializa Language: English Policies: "Deployment Programs,Financial Incentives,Regulations" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Technical Assistance Regulations: Resource Integration Planning

40

Methodology for Modeling Building Energy Performance across the Commercial Sector  

SciTech Connect

This report uses EnergyPlus simulations of each building in the 2003 Commercial Buildings Energy Consumption Survey (CBECS) to document and demonstrate bottom-up methods of modeling the entire U.S. commercial buildings sector (EIA 2006). The ability to use a whole-building simulation tool to model the entire sector is of interest because the energy models enable us to answer subsequent 'what-if' questions that involve technologies and practices related to energy. This report documents how the whole-building models were generated from the building characteristics in 2003 CBECS and compares the simulation results to the survey data for energy use.

Griffith, B.; Long, N.; Torcellini, P.; Judkoff, R.; Crawley, D.; Ryan, J.

2008-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

sector Renewable Energy Non renewable Energy Biomass Buildings Commercial  

Open Energy Info (EERE)

user interface valueType text user interface valueType text sector valueType text abstract valueType text website valueType text openei tool keyword valueType text openei tool uri valueType text items label Calculator user interface Spreadsheet Website sector Renewable Energy Non renewable Energy Biomass Buildings Commercial Buildings Residential Economic Development Gateway Geothermal Greenhouse Gas Multi model Integration Multi sector Impact Evaluation Gateway Solar Wind energy website https www gov uk pathways analysis openei tool keyword calculator greenhouse gas emissions GHG low carbon energy planning energy data emissions data openei tool uri http calculator tool decc gov uk pathways primary energy chart uri http en openei org w index php title Calculator type Tools label AGI

42

Propane demand modeling for residential sectors- A regression analysis.  

E-Print Network (OSTI)

??This thesis presents a forecasting model for the propane consumption within the residential sector. In this research we explore the dynamic behavior of different variables (more)

Shenoy, Nitin K.

2011-01-01T23:59:59.000Z

43

Development and Demonstration of the Open Automated Demand Response Standard for the Residential Sector  

SciTech Connect

The goal of this study was to demonstrate a demand response system that can signal nearly every customer in all sectors through the integration of two widely available and non- proprietary communications technologies--Open Automated Demand Response (OpenADR) over lnternet protocol and Utility Messaging Channel (UMC) over FM radio. The outcomes of this project were as follows: (1) a software bridge to allow translation of pricing signals from OpenADR to UMC; and (2) a portable demonstration unit with an lnternet-connected notebook computer, a portfolio of DR-enabling technologies, and a model home. The demonstration unit provides visitors the opportunity to send electricity-pricing information over the lnternet (through OpenADR and UMC) and then watch as the model appliances and lighting respond to the signals. The integration of OpenADR and UMC completed and demonstrated in this study enables utilities to send hourly or sub-hourly electricity pricing information simultaneously to the residential, commercial and industrial sectors.

Herter, Karen; Rasin, Josh; Perry, Tim

2009-11-30T23:59:59.000Z

44

Solid-State Lighting: LED Site Lighting in the Commercial Building Sector:  

NLE Websites -- All DOE Office Websites (Extended Search)

Site Lighting in the Site Lighting in the Commercial Building Sector: Opportunities, Challenges, and the CBEA Performance Specification to someone by E-mail Share Solid-State Lighting: LED Site Lighting in the Commercial Building Sector: Opportunities, Challenges, and the CBEA Performance Specification on Facebook Tweet about Solid-State Lighting: LED Site Lighting in the Commercial Building Sector: Opportunities, Challenges, and the CBEA Performance Specification on Twitter Bookmark Solid-State Lighting: LED Site Lighting in the Commercial Building Sector: Opportunities, Challenges, and the CBEA Performance Specification on Google Bookmark Solid-State Lighting: LED Site Lighting in the Commercial Building Sector: Opportunities, Challenges, and the CBEA Performance Specification on Delicious

45

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

3.3 Commercial Sector Expenditures 3.3 Commercial Sector Expenditures March 2012 3.3.3 Commercial Buildings Aggregate Energy Expenditures, by Year and Major Fuel Type ($2010 Billion) (1) Electricity Natural Gas Petroleum (2) Total 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 148.6 37.0 17.0 202.6 148.9 37.2 17.1 203.2 145.9 36.2 16.7 198.9 147.5 36.8 16.9 201.2 143.8 35.1 16.4 195.2 145.0 35.5 16.6 197.0 141.1 34.0 16.0 191.1 142.5 34.6 16.2 193.3 136.9 32.1 15.7 184.8 139.1 33.0 15.9 188.0 133.5 31.0 15.4 179.9 135.0 31.6 15.6 182.2 131.0 29.7 15.1 175.8 131.9 30.3 15.3 177.5 128.1 28.7 14.5 171.3 130.0 29.3 15.0 174.4 129.4 29.7 15.4 174.5 127.7 29.2 13.8 170.7 134.8 29.9 14.5 179.2 134.5 28.5 16.9 180.0 141.1

46

ASSESSMENT OF ELECTRICITY DEMAND IN IRAN'S INDUSTRIAL SECTOR USING DIFFERENT INTELLIGENT OPTIMIZATION TECHNIQUES  

Science Journals Connector (OSTI)

This study presents application of particle swarm optimization (PSO) and genetic algorithm (GA) methods to estimate electricity demand in Iran's industrial sectors, based on economic indicators. The economic indicators used in this study are number of ...

M. A. Behrang; E. Assareh; M. R. Assari; A. Ghanbarzadeh

2011-04-01T23:59:59.000Z

47

Report: Natural Gas Infrastructure Implications of Increased Demand from the Electric Power Sector  

Energy.gov (U.S. Department of Energy (DOE))

This report examines the potential infrastructure needs of the U.S. interstate natural gas pipeline transmission system across a range of future natural gas demand scenarios that drive increased electric power sector natural gas use.

48

Modelling useful energy demand system as derived from basic needs in the household sector  

Science Journals Connector (OSTI)

Inter-fuel substitution in the household sector depends on whether their target energy use is similar or not. To account ... for the effect of end-use application on energy demand, the concept of useful energy is...

Zahra A. Barkhordar; Yadollah Saboohi

2014-10-01T23:59:59.000Z

49

Automated Demand Response Strategies and Commissioning Commercial Building Controls  

E-Print Network (OSTI)

4 9 . Piette et at Automated Demand Response Strategies andDynamic Controls for Demand Response in New and ExistingFully Automated Demand Response Tests in Large Facilities"

Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila; Linkugel, Eric

2006-01-01T23:59:59.000Z

50

Commercial Fleet Demand for Alternative-Fuel Vehicles in California  

E-Print Network (OSTI)

Precursors of demand for alternative-fuel vehicles: resultsFLEET DEMAND FOR ALTERNATIVE-FUEL VEHICLES IN CALIFORNIA*AbstractFleet demand for alternative-fuel vehicles (AFVs

Golob, Thomas F; Torous, Jane; Bradley, Mark; Brownstone, David; Crane, Soheila Soltani; Bunch, David S

1996-01-01T23:59:59.000Z

51

Integrated estimation of commercial sector end-use load shapes and energy use intensities  

SciTech Connect

The Southern California Edison Company (SCE) and the California Energy Commission (CEC) have contracted with Energy Analysis Program of the Applied Science Division at the Lawrence Berkeley Laboratory (LBL) to develop an integrated set of commercial sector load shapes (LS) and energy utilization indices (EUI) for use in forecasting electricity demand. The overall objectives of this project are to conduct detailed analyses of SCE data on commercial building characteristics, energy use, and whole-building load shapes, and, in conjunction with other data, to develop, test, and apply an integrated approach for the estimation of end-use LSs and EUIs. The project is one of the first attempts ever to combine simulation-based, prototypical building analyses with direct reconciliation to measured hourly load data.

Akbari, H.; Eto, J.; Turiel, I.; Heinemeier, K.; Lebot, B.; Nordman, B.; Rainer, L.

1989-01-01T23:59:59.000Z

52

Demand Shifting with Thermal Mass in Large Commercial Buildings in a  

NLE Websites -- All DOE Office Websites (Extended Search)

Shifting with Thermal Mass in Large Commercial Buildings in a Shifting with Thermal Mass in Large Commercial Buildings in a California Hot Climate Zone Title Demand Shifting with Thermal Mass in Large Commercial Buildings in a California Hot Climate Zone Publication Type Report LBNL Report Number LBNL-3898e Year of Publication 2009 Authors Xu, Peng, Rongxin Yin, Carrie Brown, and DongEun Kim Date Published June 2009 Publisher CEC/LBNL Keywords demand response, demand shifting (pre-cooling), DRQAT, hot climates, market sectors, office buildings, pre-cooling, technologies, testbed tools and guides, thermal mass Abstract The potential for using building thermal mass for load shifting and peak energy demand reduction has been demonstrated in a number of simulation, laboratory, and field studies. Previous Lawrence Berkeley National Laboratory research has demonstrated that the approach is very effective in cool and moderately warm climate conditions (California Climate Zones 2-4). However, this method had not been tested in hotter climate zones.This project studied the potential of pre-cooling the building early in the morning and increasing temperature setpoints during peak hours to reduce cooling-related demand in two typical office buildings in hotter California climates - one in Visalia (CEC Climate Zone 13) and the other in San Bernardino (CEC Climate Zone 10). The conclusion of the work to date is that pre-cooling in hotter climates has similar potential to that seen previously in cool and moderate climates. All other factors being equal, results to date indicate that pre-cooling increases the depth (kW) and duration (kWh) of the possible demand shed of a given building. The effectiveness of night pre-cooling in typical office building under hot weather conditions is very limited. However, night pre-cooling is helpful for office buildings with an undersized HVAC system. Further work is required to duplicate the tests in other typical buildings and in other hot climate zones and prove that pre-cooling is truly effective.

53

Scenario Analysis of Peak Demand Savings for Commercial Buildings with Thermal Mass in California  

SciTech Connect

This paper reports on the potential impact of demand response (DR) strategies in commercial buildings in California based on the Demand Response Quick Assessment Tool (DRQAT), which uses EnergyPlus simulation prototypes for office and retail buildings. The study describes the potential impact of building size, thermal mass, climate, and DR strategies on demand savings in commercial buildings. Sensitivity analyses are performed to evaluate how these factors influence the demand shift and shed during the peak period. The whole-building peak demand of a commercial building with high thermal mass in a hot climate zone can be reduced by 30percent using an optimized demand response strategy. Results are summarized for various simulation scenarios designed to help owners and managers understand the potential savings for demand response deployment. Simulated demand savings under various scenarios were compared to field-measured data in numerous climate zones, allowing calibration of the prototype models. The simulation results are compared to the peak demand data from the Commercial End-Use Survey for commercial buildings in California. On the economic side, a set of electricity rates are used to evaluate the impact of the DR strategies on economic savings for different thermal mass and climate conditions. Our comparison of recent simulation to field test results provides an understanding of the DR potential in commercial buildings.

Yin, Rongxin; Kiliccote, Sila; Piette, Mary Ann; Parrish, Kristen

2010-05-14T23:59:59.000Z

54

Integrated estimation of commercial sector end-use load shapes and energy use intensities  

SciTech Connect

The Southern California Edison Company (SCE) and the California Energy Commission (CEC) have contracted with the Energy Analysis Program of the Applied Science Division at the Lawrence Berkeley Laboratory (LBL) to develop an integrated set of commercial sector load shapes (LS) and energy utilization indices (EUI) for use in forecasting electricity demand. The objectives of this project are to conduct detailed analyses of SCE data on commercial building characteristics, energy use, and whole-building load shapes; and in conjunction with other data, to develop, test, and apply an integrated approach for the estimation of end-use LSs and EUIs. The project represents one of the first attempts to combine simulation-based, prototypical building analyses with direct reconciliation to measured hourly load data. The project examined electricity and gas use for nine building types, including large offices, small offices, large retails, small retails, food stores, sitdown restaurants, fastfood restaurants, refrigerated warehouses, and non-refrigerated warehouses. For each building type, nine end uses were examined, including cooling, heating, ventilation, indoor lighting, outdoor lighting, miscellaneous equipment, water heating, cooking, and refrigeration. For the HVAC end uses (cooling, ventilation, and heating), separate analyses were performed for three climate zones: coastal, inland, and desert.

Akbari, H.; Eto, J.; Turiel, I.; Heinemeier, K.; Lebot, B.; Nordman, B.; Rainer, L.

1989-01-01T23:59:59.000Z

55

Honeywell Demonstrates Automated Demand Response Benefits for Utility, Commercial, and Industrial Customers  

Energy.gov (U.S. Department of Energy (DOE))

Honeywells Smart Grid Investment Grant (SGIG) project demonstrates utility-scale performance of a hardware/software platform for automated demand response (ADR) for utility, commercial, and industrial customers. The case study is now available for downloading.

56

Energy Management Using Storage Batteries in Large Commercial Facilities Based on Projection of Power Demand  

Science Journals Connector (OSTI)

This study provides three methods for projection of power demand of large commercial facilities planned for construction, ... the operation algorithm of storage batteries to manage energy and minimize power costs...

Kentaro Kaji; Jing Zhang; Kenji Tanaka

2013-01-01T23:59:59.000Z

57

Regulatory Amendment for a Pacific Halibut Catch Sharing Plan for the Charter Sector and Commercial Setline Sector in  

E-Print Network (OSTI)

) identified a need to develop a catch sharing plan (CSP) for the charter and commercial sectors to address considered five alternatives and adopted a Preferred Alternative from among proposed CSP elements charter halibut harvest. The Council intends that the CSP would be implemented by National Marine

58

Regulatory Amendment for a Pacific Halibut Catch Sharing Plan for the Charter Sector and Commercial Setline Sector in  

E-Print Network (OSTI)

a need to develop a catch sharing plan (CSP) for the charter and commercial sectors to address considered five alternatives and adopted a Preferred Alternative from among proposed CSP elements charter halibut harvest. The Council intends that the CSP would be implemented by National Marine

59

BetterBuildings Financing Energy Efficiency Retrofits in the Commercial Sector - Part 1  

NLE Websites -- All DOE Office Websites (Extended Search)

Small Commercial Energy Efficiency Finance Programs Small Commercial Energy Efficiency Finance Programs Sponsored by State Governments SURVEY OF SURVEY OF SMALL COMMERCIAL ENERGY EFFICIENCY FINANCE PROGRAMS SPONSORED BY PROGRAMS SPONSORED BY STATE GOVERNMENTS May 3, 2011 Background of Small Commercial Finance Program Survey  Includes 20 States ( (mostly y identified from database of state incentives for renewable energy, DSIRE)  Sponsoring programs for:  small commercial (generally defined as 30,000 square feet or less and/or 150 kW or less) or   both small and large commercial sectors both small and large commercial sectors  Discussions with program managers   Creation of a table of program elements Creation of a table of program elements

60

Buildings Energy Data Book: 3.2 Commercial Sector Characteristics  

Buildings Energy Data Book (EERE)

2 2 Principal Commercial Building Types, as of 2003 (Percent of Total Floorspace) (1) Office 17% 17% 19% Mercantile 16% 14% 18% Retail 6% 9% 5% Enclosed & Strip Malls 10% 4% 13% Education 14% 8% 11% Warehouse and Storage 14% 12% 7% Lodging 7% 3% 7% Service 6% 13% 4% Public Assembly 5% 6% 5% Religious Worship 5% 8% 2% Health Care 4% 3% 8% Inpatient 3% 0% 6% Outpatient 2% 2% 2% Food Sales 2% 5% 5% Food Service 2% 6% 6% Public Order and Safety 2% 1% 2% Other 2% 2% 4% Vacant 4% 4% 1% Total 100% 100% 100% Note(s): Source(s): Total Floorspace Total Buildings Primary Energy Consumption 1) For primary energy intensities by building type, see Table 3.1.13. Total CBECS 2003 commercial building floorspace is 71.7 billion SF. EIA, 2003 Commercial Buildings Energy Consumption Survey: Consumption and Expenditures Tables, Oct. 2006, Table C1A

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
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they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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61

Price Responsiveness in the AEO2003 NEMS Residential and Commercial Buildings Sector Models  

Reports and Publications (EIA)

This paper describes the demand responses to changes in energy prices in the Annual Energy Outlook 2003 versions of the Residential and Commercial Demand Modules of the National Energy Modeling System (NEMS). It updates a similar paper completed for the Annual Energy Outlook 1999 version of the NEMS.

2003-01-01T23:59:59.000Z

62

Buildings Energy Data Book: 3.2 Commercial Sector Characteristics  

Buildings Energy Data Book (EERE)

1 1 Total Commercial Floorspace and Number of Buildings, by Year 1980 50.9 (1) N.A. 3.1 (3) 1990 64.3 N.A. 4.5 (3) 2000 (4) 68.5 N.A. 4.7 (5) 2008 78.8 15% N.A. 2010 81.1 26% N.A. 2015 84.1 34% N.A. 2020 89.2 43% N.A. 2025 93.9 52% N.A. 2030 98.2 60% N.A. 2035 103.0 68% N.A. Note(s): Source(s): EIA, Annual Energy Outlook 1994, Jan. 1994, Table A5, p. 62 for 1990 floorspace; EIA, AEO 2003, Jan. 2003, Table A5, p. 127-128 for 2000 floorspace; EIA, Annual Energy Outlook 2012 Early Release, Jan. 2012, Summary Reference Case Tables, Table A5, p. 11-12 for 2008-2035 floorspace; EIA Commercial Building Characteristics 1989, June 1991, Table A4, p. 17 for 1990 number of buildings; EIA, Commercial Building Characteristics 1999, Aug. 2002, Table 3 for 1999 number of buildings and floorspace; and EIA, Buildings and Energy in the 1980s, June 1995, Table 2.1, p. 23 for number of buildings in 1980.

63

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

9 9 2003 Energy Expenditures per Square Foot of Commercial Floorspace and per Building, by Building Type ($2010) ($2010) Food Service 4.88 27.2 Mercantile 2.23 38.1 Food Sales 4.68 26.0 Education 1.43 36.6 Health Care 2.76 68.0 Service 1.39 9.1 Public Order and Safety 2.07 32.0 Warehouse and Storage 0.80 13.5 Office 2.01 29.8 Religious Worship 0.76 7.8 Public Assembly 1.73 24.6 Vacant 0.34 4.8 Lodging 1.72 61.5 Other 2.99 65.5 Note(s): Source(s): Mall buildings are no longer included in most CBECs tables; therefore, some data is not directly comparable to past CBECs. EIA, 2003 Commercial Buildings Energy Consumption and Expenditures: Consumption and Expenditures Tables, Oct. 2006, Table 4; and EIA, Annual Energy Review 2010, Oct. 2011, Appendix D, p. 353 for price deflators. Per Square Foot Per Building

64

A new approach to estimate commercial sector end-use load shapes and energy use intensities  

SciTech Connect

We discuss the application of an end-use load shape estimation technique to develop annual energy use intensities (EUIs) and hourly end-use load shapes (LSs) for commercial buildings in the Pacific Gas and Electric Company (PG&E) service territory. Results will update inputs for the commercial sector energy and peak demand forecasting models used by PG&E and the California Energy Commission (CEC). EUIs were estimated for 11 building types, up to 10 end uses, 3 fuel types, 2 building vintages, and up to 5 climate regions. The integrated methodology consists of two major parts. The first part is the reconciliation of initial end-use load-shape estimates with measured whole-building load data to produce intermediate EUIs and load shapes, using LBL`s End-use Disaggregation Algorithm, EDA. EDA is a deterministic hourly algorithm that relies on the observed characteristics of the measured hourly whole-building electricity use and disaggregates it into major end-use components. The end-use EUIs developed through the EDA procedure represent a snap-shot of electricity use by building type and end-use for two regions of the PG&E service territory, for the year that disaggregation is performed. In the second part of the methodology, we adjust the EUIs for direct application to forecasting models based on factors such as climatic impacts on space-conditioning EUIs, fuel saturation effects, building and equipment vintage, and price impacts. Core data for the project are detailed on-site surveys for about 800 buildings, mail surveys ({approximately}6000), load research data for over 1000 accounts, and hourly weather data for five climate regions.

Akbari, H.; Eto, J.; Konopacki, S.; Afzal, A.; Heinemeier, K.; Rainer, L.

1994-08-01T23:59:59.000Z

65

Buildings Energy Data Book: 3.2 Commercial Sector Characteristics  

Buildings Energy Data Book (EERE)

8 8 2003 Average Commercial Building Floorspace, by Principal Building Type and Vintage Building Type 1959 or Prior 1960 to 1989 1990 to 2003 All Education 27.5 26.9 21.7 25.6 Food Sales N.A. N.A. N.A. 5.6 Food Service 6.4 4.4 5.0 5.6 Health Care 18.5 37.1 N.A. 24.5 Inpatient N.A. 243.6 N.A. 238.1 Outpatient N.A. 11.3 11.6 10.4 Lodging 9.9 36.1 36.0 35.9 Retail (Other Than Mall) 6.2 9.3 17.5 9.7 Office 12.4 16.4 14.2 14.8 Public Assembly 13.0 13.8 17.3 14.2 Public Order and Safety N.A. N.A. N.A. 15.4 Religious Worship 8.7 9.6 15.6 10.1 Service 6.1 6.5 6.8 6.5 Warehouse and Storage 19.7 17.2 15.4 16.9 Other N.A. N.A. N.A. 22.0 Vacant N.A. N.A. N.A. 14.1 Source(s): Average Floorspace/Building (thousand SF) EIA, 2003 Commercial Buildings Energy Consumption Survey: Building Characteristics Tables, June 2006, Table B8, p. 63-69, and Table B9, p. 70-76

66

Impact of demand-enhancing farm policy on the agricultural sector: a firm level simulation of ethanol production subsidies  

E-Print Network (OSTI)

IMPACT OF DEMAND-ENHANCING FARM POLICY ON THE AGRICULTURAL SECTOR: A FIRM LEVEL SIMULATION OF ETHANOL PRODUCTION SUBSIDIES A Thesis By LETA SUSANNE WASSON Submitted to the Office of Graduate Studies of Texas A&M University in partial... fulfillment of the requirements for the degree of MASTER OF SCIENCE August 1990 Major Subject: Agricultural Economics IMPACT OF DEMAND-ENHANCING FARM POLICY ON THE AGRICULTURAL SECTOR: A FIRM LEVEL SIMULATION OF ETHANOL PRODUCTION SUBSIDIES A Thesis...

Wasson, Leta Susanne

2012-06-07T23:59:59.000Z

67

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

1 1 Energy Service Company (ESCO) Industry Activity ($Million Nominal) (1) Low High 1990 143 342 Market Segment Share 1991 218 425 MUSH (2) 69% 1992 331 544 Federal 15% 1993 505 703 Commercial & Industrial 7% 1994 722 890 Residential 6% 1995 1,105 1,159 Public Housing 3% 1996 1,294 1,396 1997 1,394 1,506 1998 1,551 1,667 2008 Revenues by Project/Technology Type 1999 1,764 1,925 2000 1,876 2,186 Market Segment Share 2001 - - Energy Efficiency 75% 2002 - - Onsite Renewables 14% 2003 - - Engine/Turbine Generators 6% 2004 2,447 2,507 Consulting/Master Planning 3% 2005 2,949 3,004 Other 2% 2006 3,579 3,627 2007 - - 2008 4,087 4,171 Note(s): Source(s): Estimated Revenue ($Million Nominal) (1) 2008 Revenue Sources 1) Estimates based on surveys of major ESCOs and input from industry experts. 2) Includes municipal and state governments, universities

68

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

5 5 2015 Commercial Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal (3) Electricity Total Percent Lighting 28.4 28.4 16.3% Space Heating 14.6 2.9 1.3 0.1 4.3 0.1 4.7 23.7 13.6% Ventilation 15.1 15.1 8.6% Space Cooling 0.3 14.2 14.5 8.3% Refrigeration 9.9 9.9 5.7% Electronics 8.8 8.8 5.1% Water Heating 4.1 0.7 0.7 2.5 7.3 4.2% Computers 5.3 5.3 3.0% Cooking 1.7 0.6 2.3 1.3% Other (4) 2.9 0.3 3.7 1.4 5.4 22.8 31.1 17.8% Adjust to SEDS (5) 5.8 4.5 4.5 17.7 28.1 16.1% Total 29.3 8.4 1.3 3.7 1.5 14.9 0.1 130.0 174.5 100% Note(s): Source(s): 1) Expenditures include coal and exclude wood. 2) Includes kerosene space heating ($0.1 billion) and motor gasoline other uses ($1.4 billion). 3) Coal average price is from AEO 2012 Early Release, all users price. 4) Includes service station equipment, ATMs, medical equipment,

69

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

8 8 Average Annual Energy Expenditures per Square Foot of Commercial Floorspace, by Year ($2010) Year $/SF 1980 (1) 2.12 1981 2.22 (2) 1982 2.24 1983 2.21 1984 2.25 1985 2.20 1986 2.06 1987 2.00 1988 1.99 1989 2.01 1990 1.98 1991 1.92 1992 1.86 1993 1.96 1994 2.05 1995 2.12 1996 2.10 1997 2.08 1998 1.97 1999 1.88 2000 2.06 2001 2.20 2002 2.04 2003 2.13 2004 2.16 2005 2.30 2006 2.36 2007 2.35 2008 1.71 2009 2.43 2010 2.44 2011 2.44 2012 2.35 2013 2.28 2014 2.27 2015 2.29 2016 2.29 2017 2.28 2018 2.29 2019 2.29 2020 2.29 2021 2.31 2022 2.32 2023 2.32 2024 2.32 2025 2.32 2026 2.32 2027 2.33 2028 2.32 2029 2.31 2030 2.31 2031 2.32 2032 2.35 2033 2.37 2034 2.39 2035 2.42 Note(s): Source(s): EIA, State Energy Data Prices and Expenditures Database, June 2011 for 1980-2009; EIA, Annual Energy Outlook 2012 Early Release, Jan. 2012, Summary Reference Case Tables, Table A2, p. 3-5 and Table A5, p. 11-12 for consumption, Table A3, p. 6-8 for prices for 2008-2035; EIA, Annual Energy Review

70

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

4 4 2010 Commercial Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal (3) Electricity Total Percent Lighting 35.4 35.4 19.7% Space Heating 15.0 2.9 0.9 0.1 3.9 0.1 8.5 27.5 15.3% Space Cooling 0.4 25.0 25.3 14.1% Ventilation 15.9 15.9 8.9% Refrigeration 11.6 11.6 6.5% Water Heating 4.0 0.6 0.6 2.7 7.3 4.1% Electronics 7.8 7.8 4.3% Computers 6.3 6.3 3.5% Cooking 1.6 0.7 2.3 1.3% Other (4) 2.7 0.3 3.3 1.2 4.8 20.4 28.0 15.6% Adjust to SEDS (5) 6.2 5.2 5.2 0.6 12.0 6.7% Total 29.9 9.0 0.9 3.3 1.3 14.5 0.1 134.8 179.4 100% Note(s): Source(s): 1) Expenditures include coal and exclude wood. 2) Includes kerosene space heating ($0.1 billion) and motor gasoline other uses ($1.2 billion). 3) Coal average price is from AEO 2012 Early Release, all users price. 4) Includes service station equipment, ATMs, medical equipment,

71

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

6 6 2025 Commercial Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal (3) Electricity Total Percent Lighting 30.1 30.1 15.2% Space Heating 17.1 2.8 1.5 0.1 4.4 0.2 4.5 26.1 13.3% Electronics 11.2 11.2 5.7% Space Cooling 0.3 14.3 14.6 7.4% Water Heating 5.2 0.8 0.8 2.5 8.5 4.3% Computers 5.5 5.5 2.8% Refrigeration 9.4 9.4 4.8% Ventilation 16.6 16.6 8.4% Cooking 2.1 0.6 2.7 1.4% Other (4) 4.8 0.3 4.3 1.7 6.3 31.2 42.3 21.5% Adjust to SEDS (5) 5.9 4.9 4.9 19.2 30.0 15.2% Total 35.5 8.9 1.5 4.3 1.9 16.5 0.2 145.0 197.1 100% Note(s): Source(s): 1) Expenditures include coal and exclude wood. 2) Includes kerosene space heating ($0.1 billion) and motor gasoline other uses ($1.7 billion). 3) Coal average price is from AEO 2011 Early Release, all users price. 4) Includes service station equipment, ATMs, medical equipment,

72

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

7 7 2035 Commercial Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal (3) Electricity Total Percent Lighting 32.3 32.3 14.4% Space Heating 19.0 2.7 1.6 0.2 4.5 0.2 4.6 28.2 12.5% Water Heating 6.3 1.0 1.0 18.1 25.4 11.3% Space Cooling 0.4 15.1 15.5 6.9% Electronics 13.0 13.0 5.8% Refrigeration 10.0 10.0 4.4% Computers 6.0 6.0 2.7% Cooking 2.6 0.6 3.2 1.4% Ventilation 2.4 2.4 1.1% Other (4) 9.3 0.4 4.9 2.0 7.2 40.9 57.5 25.5% Adjust to SEDS (5) 4.6 5.3 5.3 21.7 31.6 14.0% Total 42.2 9.4 1.6 4.9 2.2 18.0 0.2 164.8 225.1 100% Note(s): Source(s): 1) Expenditures include coal and exclude wood. 2) Includes kerosene space heating ($0.2 billion) and motor gasoline other uses ($2.0 billion). 3) Coal average price is from AEO 2012 Early Release, all users price. 4) Includes service station equipment, ATMs, medical equipment,

73

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

2 2 Commercial Energy Prices, by Year and Fuel Type ($2010) Electricity Natural Gas Distillate Oil Residual Oil ($/gal) ($/gal) 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 9.39 104.50 2.79 3.78 9.35 104.74 2.81 3.81 9.47 101.25 2.73 3.69 9.40 103.22 2.76 3.75 9.54 99.28 2.67 3.60 9.51 100.49 2.70 3.64 9.52 94.53 2.66 3.52 9.55 97.45 2.64 3.55 9.46 90.92 2.61 3.46 9.48 92.13 2.63 3.49 9.49 87.65 2.54 3.41 9.47 89.48 2.58 3.42 9.58 85.91 2.41 3.28 9.54 86.36 2.49 3.34 9.57 87.02 2.07 2.97 9.52 84.58 2.26 3.14 10.09 86.14 2.34 3.55 9.76 87.22 2.37 3.57 10.27 97.87 1.49 2.03 10.14 90.95 1.66 2.86 10.04 114.33 1.51 2.47 10.56 121.16 2.01 3.34 9.59 121.45 1.24 2.07 10.13 124.31 1.39 2.32 9.44 94.94 0.93 1.23

74

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

Commercial Energy Prices, by Year and Major Fuel Type ($2010 per Million Btu) Electricity Natural Gas Petroleum (1) Average 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 (2) 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 27.39 10.47 27.48 21.15 27.10 10.45 27.73 21.01 27.56 10.32 27.04 21.10 27.52 10.45 27.28 21.18 27.86 10.05 26.41 21.06 27.74 10.12 26.73 21.07 28.00 9.75 25.85 20.90 27.96 9.93 26.16 21.01 27.78 9.21 25.46 20.46 27.90 9.45 25.69 20.67 27.76 8.95 24.95 20.23 27.72 9.09 25.24 20.32 27.96 8.64 24.34 20.11 27.81 8.77 24.80 20.14 27.91 8.46 23.15 19.90 28.07 8.59 24.07 20.11 28.61 8.72 23.94 20.36 28.05 8.70 22.00 19.99 29.73 9.10 20.28 20.99 29.57 8.61 24.24 21.03 30.95 12.12 23.75 23.21 30.09 9.79 15.83 21.13 29.70

75

Model documentation report: Industrial sector demand module of the National Energy Modeling System  

SciTech Connect

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description of the NEMS Industrial Model for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects. The NEMS Industrial Demand Model is a dynamic accounting model, bringing together the disparate industries and uses of energy in those industries, and putting them together in an understandable and cohesive framework. The Industrial Model generates mid-term (up to the year 2015) forecasts of industrial sector energy demand as a component of the NEMS integrated forecasting system. From the NEMS system, the Industrial Model receives fuel prices, employment data, and the value of industrial output. Based on the values of these variables, the Industrial Model passes back to the NEMS system estimates of consumption by fuel types.

NONE

1997-01-01T23:59:59.000Z

76

Text-Alternative Version: LED Site Lighting in the Commercial Building Sector: Opportunities, Challenges, and the CBEA Performance Specification  

Energy.gov (U.S. Department of Energy (DOE))

Below is the text-alternative version of the LED Site Lighting in the Commercial Building Sector: Opportunities, Challenges, and the CBEA Performance Specification webcast.

77

Model documentation report: Residential sector demand module of the National Energy Modeling System  

SciTech Connect

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code. This document serves three purposes. First, it is a reference document providing a detailed description for energy analysts, other users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports according to Public Law 93-275, section 57(b)(1). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements.

NONE

1995-03-01T23:59:59.000Z

78

Economic development and the structure of the demand for commercial energy  

SciTech Connect

To deepen understanding of the relation between economic development and energy demand, this study estimates the relations between per-capita GDP and per-capita energy consumption in major economic sectors. Panel data covering up to 123 nations are employed, and measurement problems are treated both in dataset construction and in estimation. Time and country fixed effects are assumed, and flexible forms for income effects are employed. There are substantial differences among sectors in the structure of country, time, and income effects. In particular, the household sector's share of aggregate energy consumption tends to fall with income, the share of transportation tends to rise, and the share of industry follows an inverse-U pattern.

Judson, R.A.; Schmalensee, R.; Stoker, T.M.

1999-07-01T23:59:59.000Z

79

Findings from Seven Years of Field Performance Data for Automated Demand Response in Commercial Buildings  

SciTech Connect

California is a leader in automating demand response (DR) to promote low-cost, consistent, and predictable electric grid management tools. Over 250 commercial and industrial facilities in California participate in fully-automated programs providing over 60 MW of peak DR savings. This paper presents a summary of Open Automated DR (OpenADR) implementation by each of the investor-owned utilities in California. It provides a summary of participation, DR strategies and incentives. Commercial buildings can reduce peak demand from 5 to 15percent with an average of 13percent. Industrial facilities shed much higher loads. For buildings with multi-year savings we evaluate their load variability and shed variability. We provide a summary of control strategies deployed, along with costs to install automation. We report on how the electric DR control strategies perform over many years of events. We benchmark the peak demand of this sample of buildings against their past baselines to understand the differences in building performance over the years. This is done with peak demand intensities and load factors. The paper also describes the importance of these data in helping to understand possible techniques to reach net zero energy using peak day dynamic control capabilities in commercial buildings. We present an example in which the electric load shape changed as a result of a lighting retrofit.

Kiliccote, Sila; Piette, Mary Ann; Mathieu, Johanna; Parrish, Kristen

2010-05-14T23:59:59.000Z

80

Overview of Options to Integrate Stationary Power Generation from Fuel Cells with Hydrogen Demand for the Transportation Sector  

NLE Websites -- All DOE Office Websites (Extended Search)

Overview of Options to Integrate Stationary Overview of Options to Integrate Stationary Power Generation from Fuel Cells with Hydrogen Demand for the Transportation Sector Overview of Options to Integrate Stationary Overview of Options to Integrate Stationary Power Generation from Fuel Cells with Power Generation from Fuel Cells with Hydrogen Demand for the Transportation Hydrogen Demand for the Transportation Sector Sector Fred Joseck U.S. DOE Hydrogen Program Transportation and Stationary Power Integration Workshop (TSPI) Transportation and Stationary Power Transportation and Stationary Power Integration Workshop (TSPI) Integration Workshop (TSPI) Phoenix, Arizona October 27, 2008 2 Why Integration? * Move away from conventional thinking...fuel and power generation/supply separate * Make dramatic change, use economies of scale,

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Comparative analysis of energy data bases for the industrial and commercial sectors  

SciTech Connect

Energy data bases for the industrial and commercial sectors were analyzed to determine how valuable this data might be for policy analysis. The approach is the same for both end-use sectors: first a descrption or overview of relevant data bases identifies the available data; the coverage and methods used to generate the data are then explained; the data are then characterized and examples are provided for the major data sets under consideration. A final step assesses the data bases under consideration and draws conclusions. There are a variety of data bases considered for each of the end-use sectors included in this report. Data bases for the industrial sector include the National Energy Accounts, process-derived data bases such as the Drexel data base and data obtained from industry trade associations. For the commercial sector, three types of data bases are analyzed: the Nonresidential Building Energy Consumption Surveys, Dodge Construction Data and the Building Owners and Manager's Association Experience Exchange Report.

Roop, J.M.; Belzer, D.B.; Bohn, A.A.

1986-12-01T23:59:59.000Z

82

Charting a Path to Net Zero Energy: Public-Private Sector Perspectives of the Commercial Buildings Consortium  

E-Print Network (OSTI)

Transforming the commercial buildings market to become "net-zero-energy-capable" will require dramatically lower levels of energy use sector wide. A comprehensive and concerted industry effort, partnering with utilities and government, must...

Harris, J.

2011-01-01T23:59:59.000Z

83

ENERGY STAR Snapshot: Measuring Progress in the Commercial and Industrial Sectors, Spring 2008.  

NLE Websites -- All DOE Office Websites (Extended Search)

Measuring Progress in the Commercial and Industrial Sectors Spring 2008 Introduction Through 2007, commercial and industrial (C&I) leaders have made unprecedented progress in their efforts to improve energy efficiency and reduce greenhouse gas emissions across their buildings and facilities. This includes: y Hundreds of organizations and individuals stepping forward to take the ENERGY STAR Challenge to improve the energy efficiency of America's buildings by 10 percent or more y Measuring the energy performance in tens of thousands of buildings y Achieving energy savings across millions of square feet y Designating more than 4,000 efficient buildings and facilities with the ENERGY STAR label ENERGY STAR partners are building tremendous momentum for energy efficiency and seeing important

84

Estimating Demand Response Market Potential Among Large Commercial and Industrial Customers: A Scoping Study  

E-Print Network (OSTI)

of Program Participation Rates on Demand Response MarketTable 3-1. Methods of Estimating Demand Response PenetrationDemand Response

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2007-01-01T23:59:59.000Z

85

Automated Demand Response Technology Demonstration Project for Small and Medium Commercial Buildings  

E-Print Network (OSTI)

2010AssessmentofDemandResponseand AdvancedMetering:DevelopmentforDemandResponse Calculation?FindingsandEnergy Efficiencyand DemandResponsewithCommunicating

Page, Janie

2012-01-01T23:59:59.000Z

86

Demand Responsive and Energy Efficient Control Technologies and Strategies in Commercial Buildings  

E-Print Network (OSTI)

perspective, a demand-side management framework with threethe integration of DR in demand-side management activitiesdevelopments. The demand-side management (DSM) framework

Piette, Mary Ann; Kiliccote, Sila

2006-01-01T23:59:59.000Z

87

Estimating Demand Response Market Potential Among Large Commercial and Industrial Customers: A Scoping Study  

E-Print Network (OSTI)

2001. Electricity Demand Side Management Study: Review ofEpping/North Ryde Demand Side Management Scoping Study:Energy Agency Demand Side Management (IEA DSM) Programme:

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2007-01-01T23:59:59.000Z

88

Advanced Controls and Communications for Demand Response and Energy Efficiency in Commercial Buildings  

E-Print Network (OSTI)

buildings. A demand-side management framework from buildingthe integration of DR in demand-side management activitiesdevelopments. The demand-side management (DSM) framework

Kiliccote, Sila; Piette, Mary Ann; Hansen, David

2006-01-01T23:59:59.000Z

89

Web-based energy information systems for energy management and demand response in commercial buildings  

SciTech Connect

Energy Information Systems (EIS) for buildings are becoming widespread in the U.S., with more companies offering EIS products every year. As a result, customers are often overwhelmed by the quickly expanding portfolio of EIS feature and application options, which have not been clearly identified for consumers. The object of this report is to provide a technical overview of currently available EIS products. In particular, this report focuses on web-based EIS products for large commercial buildings, which allow data access and control capabilities over the Internet. EIS products combine software, data acquisition hardware, and communication systems to collect, analyze and display building information to aid commercial building energy managers, facility managers, financial managers and electric utilities in reducing energy use and costs in buildings. Data types commonly processed by EIS include energy consumption data; building characteristics; building system data, such as heating, ventilation, and air-conditioning (HVAC) and lighting data; weather data; energy price signals; and energy demand-response event information. This project involved an extensive review of research and trade literature to understand the motivation for EIS technology development. This study also gathered information on currently commercialized EIS. This review is not an exhaustive analysis of all EIS products; rather, it is a technical framework and review of current products on the market. This report summarizes key features available in today's EIS, along with a categorization framework to understand the relationship between EIS, Energy Management and Control Systems (EMCSs), and similar technologies. Four EIS types are described: Basic Energy Information Systems (Basic-EIS); Demand Response Systems (DRS); Enterprise Energy Management (EEM); and Web-based Energy Management and Control Systems (Web-EMCS). Within the context of these four categories, the following characteristics of EIS are discussed: Metering and Connectivity; Visualization and Analysis Features; Demand Response Features; and Remote Control Features. This report also describes the following technologies and the potential benefits of incorporating them into future EIS products: Benchmarking; Load Shape Analysis; Fault Detection and Diagnostics; and Savings Analysis.

Motegi, Naoya; Piette, Mary Ann; Kinney, Satkartar; Herter, Karen

2003-04-18T23:59:59.000Z

90

Findings from Seven Years of Field Performance Data for Automated Demand Response in Commercial Buildings  

NLE Websites -- All DOE Office Websites (Extended Search)

3E 3E Findings from Seven Years of Field Performance Data for Automated Demand Response in Commercial Buildings S. Kiliccote, M.A. Piette, J. Mathieu, K. Parrish Environmental Energy Technologies Division May 2010 Presented at the 2010 ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, CA, August 15-20, 2010, and published in the Proceedings DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information,

91

Scenario Analysis of Peak Demand Savings for Commercial Buildings with Thermal Mass in California  

NLE Websites -- All DOE Office Websites (Extended Search)

36E 36E Scenario Analysis of Peak Demand Savings for Commercial Buildings with Thermal Mass in California R. Yin, S. Kiliccote, M.A. Piette, K. Parrish Environmental Energy Technologies Division May 2010 Presented at the 2010 ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, CA, August 15-20, 2010, and published in the Proceedings DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information,

92

Design and Operation of an Open, Interoperable Automated Demand Response Infrastructure for Commercial Buildings  

NLE Websites -- All DOE Office Websites (Extended Search)

340E 340E Design and Operation of an Open, Interoperable Automated Demand Response Infrastructure for Commercial Buildings M.A. Piette, G. Ghatikar, S. Kiliccote, D. Watson Lawrence Berkeley National Laboratory E. Koch, D. Hennage Akuacom June 2009 Journal of Computing Science and Information Engineering, Vol. 9, Issue 2 DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information,

93

Where did the money go? The cost and performance of the largest commercial sector DSM program  

SciTech Connect

We calculate the total resource cost (TRC) of energy savings for 40 of the largest 1992 commercial sector DSM programs. The calculation includes the participating customer`s cost contribution to energy saving measures and all utility costs, including incentives received by customers, program administrative and overhead costs, measurement and evaluation costs, and shareholder incentives paid to the utility. All savings are based on post-program savings evaluations. We find that, on a savings-weighted basis, the programs have saved energy at a cost of 3.2 {cents}/kWh. Taken as a whole, the programs have been highly cost effective when compared to the avoided costs faced by the utilities when the programs were developed. We investigate reasons for differences in program costs and examine uncertainties in current utility practices for reporting costs and evaluating savings.

Eto, J.; Kito, S.; Shown, L.; Sonnenblick, R.

1995-12-01T23:59:59.000Z

94

From comfort to kilowatts: An integrated assessment of electricity conservation in Thailand's commercial sector  

SciTech Connect

Thailand serves as a case study of the potential to conserve electricity in the fast-growing commercial sectors of the tropical developing world. We performed a field study of over 1100 Thai office workers in which a questionnaire survey and simultaneous physical measurements were taken. Both air-conditioned and non-air-conditioned buildings were included. We analyzed Thai subjective responses on the ASHRAE, McIntyre and other rating scales, relating them to Effective Temperature, demographics, and to rational indices of warmth such as PMV and TSENS. These results suggest that without sacrificing comfort, significant energy conservation opportunities exist through the relaxation of upper space temperature limits. To investigate the potential for conserving energy in a cost-effective manner, we performed a series of parametric simulations using the DOE-2.1D computer program on three commercial building prototypes based on actual buildings in Bangkok; an office, a hotel, and a shopping center. We investigated a wide range of energy conservation measures appropriate for each building type, from architectural measures to HVAC equipment and control solutions. The best measures applied in combination into high efficiency cases can generate energy savings in excess of 50%. Economic analyses performed for the high efficiency cases, resulted in costs of conserved energy of less than and internal rates of return in excess of 40%. Thermal cool storage, cogeneration, and gas cooling technology showed promise as cost-effective electric load management strategies.

Busch, J.F. Jr.

1990-08-01T23:59:59.000Z

95

Analysis of Michigan's demand-side electricity resources in the residential sector: Volume 3, End-use studies: Revised final report  

SciTech Connect

This volume of the ''Analysis of Michigan's Demand-Side Electricity Resources in the Residential Sector'' contains end-use studies on various household appliances including: refrigerators, freezers, lighting systems, water heaters, air conditioners, space heaters, and heat pumps. (JEF)

Krause, F.; Brown, J.; Connell, D.; DuPont, P.; Greely, K.; Meal, M.; Meier, A.; Mills, E.; Nordman, B.

1988-04-01T23:59:59.000Z

96

Estimating Demand Response Market Potential Among Large Commercial and Industrial Customers: A Scoping Study  

E-Print Network (OSTI)

of price response (price elasticity of demand, substitutionprice elasticities, for estimating the market potential of demand responsedemand response market potential that account for customer behavior and prices through the use of price elasticities (

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2007-01-01T23:59:59.000Z

97

Conservation screening curves to compare efficiency investments to power plants: Applications to commercial sector conservation programs  

E-Print Network (OSTI)

Energy Analysis 3 LILCO--Commercial Energy Audit 4Large Commercial Audit 7 SCE--Energy Management SurveysUtilities--Energy Check 5 SMUD--Small Commercial Audit 6

Koomey, Jonathan; Rosenfeld, Arthur H.; Gadgil, Ashok J.

2008-01-01T23:59:59.000Z

98

LED Site Lighting in the Commercial Building Sector: Opportunities, Challenges, and the CBEA Performance Specification  

Energy.gov (U.S. Department of Energy (DOE))

This March 26, 2009 webcast presented information about the Commercial Building Energy Alliances' (CBEA) efforts to explore the viability of LED site lighting in commercial parking lots. LED...

99

Warm homes: Drivers of the demand for heating in the residential sector in New Zealand  

Science Journals Connector (OSTI)

New Zealand houses are large, often poorly constructed and heated, by OECD standards, and consequently are colder and damper indoors than recommended by the World Health Organisation. This affects both the energy consumption and the health of households. The traditional New Zealand household pattern of only heating one room of the house has been unchanged for decades, although there has been substantial market penetration of unflued gas heaters and more recently heat pumps. This paper describes the residential sector and the results of two community-based trials of housing and heating interventions that have been designed to measure the impact of (1) retrofitting insulation and (2) replacing unflued gas heaters and electric resistance heaters with heat pumps, wood pellet burners and flued gas heaters. The paper describes findings on the rebound effect or take-backthe extent to which households take the gains from insulation and heating improvements as comfort (higher temperatures) rather than energy savings, and compares energy-saving patterns with those suggested by an earlier study. Findings on these aspects of household space heating are discussed in the context of the New Zealand government's policy drive for a more sustainable energy system, and the implications for climate change policy.

Philippa Howden-Chapman; Helen Viggers; Ralph Chapman; Des ODea; Sarah Free; Kimberley OSullivan

2009-01-01T23:59:59.000Z

100

Impacts of Temperature Variation on Energy Demand in Buildings (released in AEO2005)  

Reports and Publications (EIA)

In the residential and commercial sectors, heating and cooling account for more than 40% of end-use energy demand. As a result, energy consumption in those sectors can vary significantly from year to year, depending on yearly average temperatures.

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Introduction to Commercial Building Control Strategies and Techniques for Demand Response -- Appendices  

SciTech Connect

There are 3 appendices listed: (A) DR strategies for HVAC systems; (B) Summary of DR strategies; and (C) Case study of advanced demand response.

Motegi, N.; Piette, M.A.; Watson, D.S.; Kiliccote, S.; Xu, P.

2007-05-01T23:59:59.000Z

102

Demand Responsive and Energy Efficient Control Technologies and Strategies in Commercial Buildings  

E-Print Network (OSTI)

Study in Energy Efficiency in Buildings August Nationalelectric loads in buildings: energy efficiency (for steady-and Energy Efficiency Options Using Commercial Building

Piette, Mary Ann; Kiliccote, Sila

2006-01-01T23:59:59.000Z

103

Estimating Demand Response Market Potential Among Large Commercial and Industrial Customers: A Scoping Study  

E-Print Network (OSTI)

Sector Energy Efficiency Potential Study: Final Report,energy efficiency market potential (section 2 of this report);Report: Figure 2-1. Relative Relationships of Energy-Efficiency Potential

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2007-01-01T23:59:59.000Z

104

AN ASSESSMENT OF THE MARKET POTENTIAL AND ECONOMIC IMPACTS OF ENERGY CONSERVATION IN THE CANADIAN RESIDENTIAL/COMMERCIAL/INDUSTRIAL SECTORS  

Science Journals Connector (OSTI)

ABSTRACT Energy conservation in the residential/commercial/industrial sectors is a significant supply option for Canada. The conservation business can also produce an important impact on national economic performance. Although some achievement has been made in energy conservation, the potential in Canada has remained mostly untapped. In order to develop the energy conservation potential aggressively, demographic and institutional barriers must be overcome. The non-residential sector is likely to experience a more aggressive rate of energy conservation achievement than the residential sector. Financing is a crucial issue confronting the aggressive development of energy conservation. Good decisions require good information bases. There is much to improve on the quality and variety of data available to the public on energy conservation. Emphasis should also be placed on education and effective communication of energy conservation to managers and the public.

Lorne D.R. Dyke; W. Samuel Chan

1984-01-01T23:59:59.000Z

105

Commercial  

NLE Websites -- All DOE Office Websites (Extended Search)

Residential Commercial Commercial Industrial Lighting Energy Smart Grocer Program HVAC Program Shell Measures Commercial Kitchen & Food Service Equipment Plug Load New...

106

Design and Operation of an Open, Interoperable Automated Demand Response Infrastructure for Commercial Buildings  

SciTech Connect

This paper describes the concept for and lessons from the development and field-testing of an open, interoperable communications infrastructure to support automated demand response (auto-DR). Automating DR allows greater levels of participation, improved reliability, and repeatability of the DR in participating facilities. This paper also presents the technical and architectural issues associated with auto-DR and description of the demand response automation server (DRAS), the client/server architecture-based middle-ware used to automate the interactions between the utilities or any DR serving entity and their customers for DR programs. Use case diagrams are presented to show the role of the DRAS between utility/ISO and the clients at the facilities.

Piette, Mary Ann; Ghatikar, Girish; Kiliccote, Sila; Watson, David; Koch, Ed; Hennage, Dan

2009-05-01T23:59:59.000Z

107

Targeted CHP Outreach in Selected Sectors of the Commercial Market, 2004  

Energy.gov (U.S. Department of Energy (DOE))

This report defines the opportunity for CHP in three specific commercial building market segments: Smaller Educational Facilities, Smaller Healthcare Facilities, and Data Centers/Server Farms/Telecom Switching Centers.

108

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book (EERE)

1 2003 Commercial Delivered Energy Consumption Intensities, by Ownership of Unit (1) Ownership Nongovernment Owned 85.1 72% Owner-Occupied 87.3 35% Nonowner-Occupied 88.4 36%...

109

Final Scientific Technical Report: INTEGRATED PREDICTIVE DEMAND RESPONSE CONTROLLER FOR COMMERCIAL BUILDINGS  

SciTech Connect

This project provides algorithms to perform demand response using the thermal mass of a building. Using the thermal mass of the building is an attractive method for performing demand response because there is no need for capital expenditure. The algorithms rely on the thermal capacitance inherent in the building?s construction materials. A near-optimal ?day ahead? predictive approach is developed that is meant to keep the building?s electrical demand constant during the high cost periods. This type of approach is appropriate for both time-of-use and critical peak pricing utility rate structures. The approach uses the past days data in order to determine the best temperature setpoints for the building during the high price periods on the next day. A second ?model predictive approach? (MPC) uses a thermal model of the building to determine the best temperature for the next sample period. The approach uses constant feedback from the building and is capable of appropriately handling real time pricing. Both approaches are capable of using weather forecasts to improve performance.

Wenzel, Mike

2013-10-14T23:59:59.000Z

110

Models for residential- and commercial-sector energy-conservation analysis: applications, limitations, and future potential. Final report  

SciTech Connect

This report reviews four of the major models used by the Department of Energy (DOE) for energy conservation analyses in the residential- and commercial-building sectors. The objective is to provide a critical analysis of how these models can serve as tools for DOE and its Conservation Policy Office in evaluating and quantifying their policy and program requirements. For this, the study brings together information on the models' analytical structure and their strengths and limitations in policy applications these are then employed to assess the most-effective role for each model in addressing future issues of buildings energy-conservation policy and analysis. The four models covered are: Oak Ridge Residential Energy Model; Micro Analysis of Transfers to Households/Comprehensive Human Resources Data System (MATH/CHRDS) Model; Oak Ridge Commercial Energy Model; and Brookhaven Buildings Energy Conservation Optimization Model (BECOM).

Cole, Henry E.; Fullen, Robert E.

1980-09-01T23:59:59.000Z

111

Assessing the impacts of future demand for saline groundwater on commercial deployment of CCS in the United States  

SciTech Connect

This paper provides a preliminary assessment of the potential impact that future demand for groundwater might have on the commercial deployment of carbon dioxide capture and storage (CCS) technologies within the United States. A number of regions within the U.S. have populations, agriculture and industries that are particularly dependent upon groundwater. Moreover, some key freshwater aquifers are already over-utilized or depleted, and others are likely to be moving toward depletion as demand grows. The need to meet future water demands may lead some parts of the nation to consider supplementing existing supplies with lower quality groundwater resources, including brackish waters that are currently not considered sources of drinking water but which could provide supplemental water via desalination. In some areas, these same deep saline-filled geologic formations also represent possible candidate carbon dioxide (CO2) storage reservoirs. The analysis presented here suggests that future constraints on CCS deployment due to potential needs to supplement conventional water supplies by desalinating deeper and more brackish waters are likely to be necessary only in limited regions across the country, particularly in areas that are already experiencing water stress.

Davidson, Casie L.; Dooley, James J.; Dahowski, Robert T.

2009-04-20T23:59:59.000Z

112

New Zealand Energy Data: Electricity Demand and Consumption | OpenEI  

Open Energy Info (EERE)

Electricity Demand and Consumption Electricity Demand and Consumption Dataset Summary Description The New Zealand Ministry of Economic Development publishes energy data including many datasets related to electricity. Included here are three electricity consumption and demand datasets, specifically: annual observed electricity consumption by sector (1974 to 2009); observed percentage of consumers by sector (2002 - 2009); and regional electricity demand, as a percentage of total demand (2009). The sectors included are: agriculture, forestry and fishing; industrial (mining, food processing, wood and paper, chemicals, basic metals, other minor sectors); commercial; and residential. Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 03rd, 2009 (5 years ago)

113

Countries Launch Initiative to Drive Energy Efficiency in the Commercial and Industrial Sectors  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

July 20, 2010 July 20, 2010 1 FACT SHEET: THE GLOBAL SUPERIOR ENERGY PERFORMANCE PARTNERSHIP At the Clean Energy Ministerial in Washington, D.C. on July 19 th and 20 th , ministers launched a new public- private partnership to accelerate energy efficiency improvements in commercial buildings and industrial facilities, which together account for almost 60 percent of global energy use. The Global Superior Energy Performance (GSEP) Partnership will cut energy use, reduce greenhouse gas emissions and pollution, save money, and create

114

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book (EERE)

5 5 Commercial Buildings Share of U.S. Petroleum Consumption (Percent) Site Consumption Primary Consumption Total Commercial Industry Electric Gen. Transportation Commercial Industry Transportation (quads) 1980 4% 28% 8% 56% | 6% 31% 56% 34.2 1981 4% 26% 7% 59% | 5% 29% 59% 31.9 1982 3% 26% 5% 61% | 5% 28% 61% 30.2 1983 4% 25% 5% 62% | 5% 27% 62% 30.1 1984 4% 26% 4% 61% | 5% 27% 61% 31.1 1985 3% 25% 4% 63% | 5% 26% 63% 30.9 1986 4% 24% 5% 63% | 5% 26% 63% 32.2 1987 3% 25% 4% 63% | 5% 26% 63% 32.9 1988 3% 24% 5% 63% | 5% 26% 63% 34.2 1989 3% 24% 5% 63% | 5% 25% 63% 34.2 1990 3% 25% 4% 64% | 4% 26% 64% 33.6 1991 3% 24% 4% 65% | 4% 26% 65% 32.8 1992 3% 26% 3% 65% | 4% 27% 65% 33.5 1993 2% 25% 3% 65% | 3% 26% 65% 33.8 1994 2% 25% 3% 65% | 3% 26% 65% 34.7 1995 2% 25% 2% 67% | 3% 26% 67% 34.6 1996 2% 25% 2% 66% | 3% 26% 66% 35.8 1997 2% 26% 3% 66% | 3% 26% 66% 36.3 1998 2% 25% 4% 66% | 3% 26% 66% 36.9 1999 2% 25% 3% 66% | 3% 26% 66% 38.0 2000 2% 24% 3% 67% | 3% 25%

115

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book (EERE)

4 4 Commercial Buildings Share of U.S. Natural Gas Consumption (Percent) Site Consumption Primary Consumption Total Commercial Industry Electric Gen. Transportation Commercial Industry Transportation (quads) 1980 13% 41% 19% 3% | 18% 49% 3% 20.22 1981 13% 42% 19% 3% | 18% 49% 3% 19.74 1982 14% 39% 18% 3% | 20% 45% 3% 18.36 1983 14% 39% 17% 3% | 19% 46% 3% 17.20 1984 14% 40% 17% 3% | 19% 47% 3% 18.38 1985 14% 40% 18% 3% | 19% 46% 3% 17.70 1986 14% 40% 16% 3% | 19% 46% 3% 16.59 1987 14% 41% 17% 3% | 19% 47% 3% 17.63 1988 15% 42% 15% 3% | 19% 47% 3% 18.44 1989 14% 41% 16% 3% | 19% 47% 3% 19.56 1990 14% 43% 17% 3% | 19% 49% 4% 19.57 1991 14% 43% 17% 3% | 19% 49% 3% 20.03 1992 14% 43% 17% 3% | 19% 49% 3% 20.71 1993 14% 43% 17% 3% | 19% 48% 3% 21.24 1994 14% 42% 18% 3% | 19% 48% 3% 21.75 1995 14% 42% 19% 3% | 20% 49% 3% 22.71 1996 14% 43% 17% 3% | 19% 49% 3% 23.14 1997 14% 43% 18% 3% | 20% 49% 3% 23.34 1998 13% 43% 20% 3% | 20% 50% 3% 22.86 1999 14%

116

Buildings Energy Data Book: 8.3 Commercial Sector Water Consumption  

Buildings Energy Data Book (EERE)

1 1 Commercial Water Use by Source (Million Gallons per Day) Year 1980 - - - 1985 5,710 1,230 1990 5,900 2,390 1995 6,690 2,890 2000 (3) 7,202 3,111 2005 (3) 7,102 3,068 Note(s): Source(s): 10,314 10,171 1) Public supply water use: water withdrawn by public and private water suppliers that furnish water to at least 25 people or have a minimum of 15 connections. 2) Self-supply water use: Water withdrawn from a groundwater or surface-water source by a user rather than being obtained from a public supply. 3) USGS did not estimate commercial water use in this year. Estimates are based on available data and percentage breakdown of commercial use in the 1995 survey. U.S. Geological Survey, Estimated Use of Water in the U.S. in 1985, U.S. Geological Survey Circular 1004, 1988; U.S. Geological Survey, Estimated Use of

117

Distributed Generation Potential of the U.S. CommercialSector  

SciTech Connect

Small-scale (100 kW-5 MW) on-site distributed generation (DG) economically driven by combined heat and power (CHP) applications and, in some cases, reliability concerns will likely emerge as a common feature of commercial building energy systems in developed countries over the next two decades. In the U.S., private and public expectations for this technology are heavily influenced by forecasts published by the Energy Information Administration (EIA), most notably the Annual Energy Outlook (AEO). EIA's forecasts are typically made using the National Energy Modeling System (NEMS), which has a forecasting module that predicts the penetration of several possible commercial building DG technologies over the period 2005-2025. Annual penetration is forecast by estimating the payback period for each technology, for each of a limited number of representative building types, for each of nine regions. This process results in an AEO2004 forecast deployment of about a total 3 GW of DG electrical generating capacity by 2025, which is only 0.25 percent of total forecast U.S. capacity. Analyses conducted using both the AEO2003 and AEO2004 versions of NEMS changes the baseline costs and performance characteristics of DG to reflect a world without U.S. Department of Energy (DOE) research into several thermal DG technologies, which is then compared to a case with enhanced technology representative of the successful achievement of DOE research goals. The net difference in 2025 DG penetration is dramatic using the AEO2003 version of NEMS, but much smaller in the AEO2004 version. The significance and validity of these contradictory results are discussed, and possibilities for improving estimates of commercial U.S. DG potential are explored.

LaCommare, Kristina Hamachi; Edwards, Jennifer L.; Gumerman,Etan; Marnay, Chris

2005-06-01T23:59:59.000Z

118

Countries Launch Initiative to Drive Energy Efficiency in the Commercial and Industrial Sectors  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Updated on July 23, 2010 Updated on July 23, 2010 1 FACT SHEET: THE GLOBAL SUPERIOR ENERGY PERFORMANCE PARTNERSHIP At the Clean Energy Ministerial in Washington, D.C. on July 19 th and 20 th , ministers launched a new public- private partnership to accelerate energy efficiency improvements in commercial buildings and industrial facilities, which together account for almost 60 percent of global energy use. The Global Superior Energy Performance (GSEP) Partnership will cut energy use, reduce greenhouse gas emissions and pollution, save money, and create

119

Assessment of the Energy Impacts of Outside Air in the Commercial Sector  

SciTech Connect

The enormous quantity of energy consumed by U.S. commercial buildings places a significant burden on the energy supply and is a potential source of economic strain. To address this, the DOE Building Technologies Program has established the goal of developing market-viable zero energy buildings by 2025. This study focuses on the effects of outside air, and considers various outside air sources, types of building construction, building subsectors, and climates. Based on the information about energy consumption attributed to outside air, it identifies topics for further research that have the greatest potential to achieve energy savings.

Benne, K.; Griffith, B.; Long, N.; Torcellini, P.; Crawley, D.; Logee, T.

2009-04-01T23:59:59.000Z

120

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book (EERE)

3 3 2003 Commercial Buildings Delivered Energy End-Use Intensities, by Building Activity (Thousand Btu per SF) (1) Space Heating Cooling Ventilation Water Heating Lighting Cooking Refrigeration Office Equipment Computers Other Total Space Heating Cooling Ventilation Water Heating Lighting Cooking Refrigeration Office Equipment Computers Other Total Space Heating Cooling Ventilation Water Heating Lighting Cooking Refrigeration Office Equipment Computers Other Total Note(s): Source(s): 43.5 45.2 164.4 20.9 1) Due to rounding, end-uses do not sum to total. EIA, 2003 Commercial Building Energy Consumption Survey, Energy End-Uses, Oct. 2008, Table E.2A. 0.3 0.6 3.0 N.A. 4.9 4.8 18.9 3.1 1.7 3.5 6.0 N.A. 0.1 0.2 N.A. N.A. 4.4 13.1 34.1 1.7 0.8 N.A. N.A. N.A. 1.4 2.0 6.1 0.4 0.8 0.6 2.1 0.1 26.2 19.3 79.4 14.4 2.9 1.3 10.5 0.6 Religious

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121

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book (EERE)

2 2 Aggregate Commercial Building Component Loads as of 1998 (1) Load (quads) and Percent of Total Load Component Heating Cooling Roof -0.103 12% 0.014 1% Walls (2) -0.174 21% -0.008 - Foundation -0.093 11% -0.058 - Infiltration -0.152 18% -0.041 - Ventilation -0.129 15% -0.045 - Windows (conduction) -0.188 22% -0.085 - Windows (solar gain) 0.114 - 0.386 32% Internal Gains Lights 0.196 - 0.505 42% Equipment (electrical) 0.048 - 0.207 17% Equip. (non-electrical) 0.001 - 0.006 1% People 0.038 - 0.082 7% NET Load -0.442 100% 0.963 100% Note(s): Source(s): 1) Loads represent the thermal energy losses/gains that, when combined, will be offset by a building's heating/cooling system to maintain a set interior temperature (which equals site energy). 2) Includes common interior walls between buildings. LBNL, Commercial Heating and Cooling Loads Component Analysis, June 1998, Table 24, p. 45 and Figure 3, p. 61

122

Buildings Energy Data Book: 8.3 Commercial Sector Water Consumption  

Buildings Energy Data Book (EERE)

3 3 Normalized Annual End Uses of Water in Select Restaurants in Western United States (1) Fixture/End Use (2) Faucets Dishwashing Toilets/Urinals Ice Making Total Indoor Use (3) (4) (4) Building Size (SF) Seats: Meals: Benchmarking Values for Restaurants (6) N Gal./SF/year 90 Gal./meal 90 Gal./seat/day 90 Gal./employee/day 90 Note(s): Source(s): American Water Works Association Research Foundation, Commercial and Institutional End Uses of Water, 2000. 25th Percentile of Users 130 - 331 6 - 9 20 - 31 86 - 122 Familiy-style dine-in establishments. Four restaurants in southern California, one in Phoenix, AZ. 1) Water use data for the buildings was collected over a few days. Estimates of annual use were created by accounting for seasonal use and other variables, billing data, and

123

Buildings Energy Data Book: 8.3 Commercial Sector Water Consumption  

Buildings Energy Data Book (EERE)

6 6 Normalized Annual End Uses of Water in Two California High Schools Fixture/End Use Toilet Urinal Faucet Shower Kitchen Misc. uses (2) Cooling Leaks Swimming Pool Total Use Benchmarking Values for Schools (3) N Indoor Use, Gal./sq. ft./year 142 Indoor Use, Gal./school day/student 141 Cooling Use, Gal./sq. ft./year 35 Note(s): Source(s): 8 - 20 1) Water use data for the buildings was collected over a few days. Estimates of annual use were created by accounting for seasonal use and other variables, billing data, and interviews with building managers. 2) One high school. 3) The study derived efficiency benchmarks by analyzing measured data and audit data. The benchmark was set at the lower 25th percentile of users. American Water Works Association Research Foundation, Commercial and Institutional End Uses of Water, 2000.

124

Scale Matters: An Action Plan for Realizing Sector-Wide"Zero-Energy" Performance Goals in Commercial Buildings  

SciTech Connect

It is widely accepted that if the United States is to reduce greenhouse gas emissions it must aggressively address energy end use in the building sector. While there have been some notable but modest successes with mandatory and voluntary programs, there have also been puzzling failures to achieve expected savings. Collectively, these programs have not yet reached the majority of the building stock, nor have they yet routinely produced very large savings in individual buildings. Several trends that have the potential to change this are noteworthy: (1) the growing market interest in 'green buildings' and 'sustainable design', (2) the major professional societies (e.g. AIA, ASHRAE) have more aggressively adopted significant improvements in energy efficiency as strategic goals, e.g. targeting 'zero energy', carbon-neutral buildings by 2030. While this vision is widely accepted as desirable, unless there are significant changes to the way buildings are routinely designed, delivered and operated, zero energy buildings will remain a niche phenomenon rather than a sector-wide reality. Toward that end, a public/private coalition including the Alliance to Save Energy, LBNL, AIA, ASHRAE, USGBC and the World Business Council for Sustainable Development (WBCSD) are developing an 'action plan' for moving the U.S. commercial building sector towards zero energy performance. It addresses regional action in a national framework; integrated deployment, demonstration and R&D threads; and would focus on measurable, visible performance indicators. This paper outlines this action plan, focusing on the challenge, the key themes, and the strategies and actions leading to substantial reductions in GHG emissions by 2030.

Selkowitz, Stephen; Selkowitz, Stephen; Granderson, Jessica; Haves, Philip; Mathew, Paul; Harris, Jeff

2008-06-16T23:59:59.000Z

125

Buildings Energy Data Book: 8.3 Commercial Sector Water Consumption  

Buildings Energy Data Book (EERE)

5 5 Normalized Annual End Uses of Water in Select Hotels in Western United States (Gallons per Room per Year) (1) Fixture/End Use Bathtub (2) Faucets Showers Toilets Leaks Laundry Ice making (3) Other/misc. indoor Total Indoor Use Number of Rooms Logged average daily use, kgal: Peak instantaneous demand, gpm: Benchmarking Values for Hotels N Indoor Use, gal./day/occupied room 98 Cooling Use, gal./year/occupied room 97 Note(s): Source(s): 25th Percentile of Users 60 - 115 7,400 - 41,600 Based on four budget hotels and one luxury hotel. Three budget hotels in Southern California, one in Phoenix, AZ. Luxury hotel in Los Angeles, CA. 1) Water use data for the buildings was collected over a few days. Estimates of annual use were created by accounting for seasonal use and other variables, billing data, and interviews with building managers. 2) Based on one hotel. 3) Based on three hotels. 5) The

126

Buildings Energy Data Book: 8.3 Commercial Sector Water Consumption  

Buildings Energy Data Book (EERE)

2 2 Average Water Use of Commercial and Institutional Establishments (Gallons per Establishment per Day) Average Variation % Total % of CI % Seasonal Daily Use In Use (1) CI Use Customers Use (2) Hotels and Motels 7,113 5.41 5.8% 1.9% 23.1% Laundries/Laundromats 3,290 8.85 4.0% 1.4% 13.4% Car Washes 3,031 3.12 0.8% 0.4% 14.2% Urban Irrigation 2,596 8.73 28.5% 30.2% 86.9% Schools and Colleges 2,117 12.13 8.8% 4.8% 58.0% Hospitals/Medical Offices 1,236 78.5 3.9% 4.2% 23.2% Office Buildings 1,204 6.29 10.2% 11.7% 29.0% Restaurants 906 7.69 8.8% 11.2% 16.1% Food Stores 729 16.29 2.9% 5.2% 19.4% Auto Shops (3) 687 7.96 2.0% 6.7% 27.2% Membership Organizations (4) 629 6.42 2.0% 5.6% 46.2% Total 77.6% 83.3% Note(s): Source(s): 23,538 Estimated from 24 months of water utility billing data in five Western locations: four locations in Southern California and one in Arizona. 1)

127

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book (EERE)

9 9 2003 Commercial Delivered Energy Consumption Intensities, by Principal Building Type and Vintage (1) | Building Type Pre-1959 1960-1989 1990-2003 | Building Type Pre-1959 1960-1989 1990-2003 Health Care 178.1 216.0 135.7 | Education 77.7 88.3 80.6 Inpatient 230.3 255.3 253.8 | Service 62.4 86.0 74.8 Outpatient 91.6 110.4 84.4 | Food Service 145.2 290.1 361.2 Food Sales 205.8 197.6 198.3 | Religious Worship 46.6 39.9 43.3 Lodging 88.2 111.5 88.1 | Public Order & Safety N.A. 101.3 110.6 Office 93.6 94.4 88.0 | Warehouse & Storage N.A. 38.9 33.3 Mercantile 80.4 91.8 94.4 | Public Assembly 61.9 107.6 119.7 Retail (Non-Malls) 74.1 63.7 86.4 | Vacant 21.4 23.1 N.A. Retail (Malls) N.A. 103.9 99.5 | Other 161.3 204.9 125.3 Note(s): Source(s): Consumption (kBtu/SF) Consumption (kBtu/SF) 1) See Table 3.1.3 for primary versus delivered energy consumption.

128

Linking, leveraging and learning: sectoral systems of innovation and technological catch-up in China's commercial aerospace industry  

Science Journals Connector (OSTI)

Developing countries often have ambitions to become major players in the commercial aerospace industry, but it remains effectively a duopoly dominated by Boeing of the USA and Europe's Airbus. China is no exception and the projects designed to bring this about have taken a number of forms. Adopting the sectoral system of innovation (SSI) as an analytical framework, this paper explores recent changes in the industry. Using China's ARJ21 regional jet programme as a case study, it examines how these changes provide opportunities for latecomer nations to catch-up technologically. It is argued that the new institutional context and the presence of new actors within the SSI, represent an opportunity for latecomer nations like China to acquire the capability to design, develop and manufacture commercial jet airliners, through linking with Western suppliers. However the analysis reveals that as a latecomer nation, China may prove to be a special case, with the opportunities for catch-up by other latecomers much more limited.

David J. Smith; Michael Zhang

2014-01-01T23:59:59.000Z

129

Assessing National Employment Impacts of Investment in Residential and Commercial Sector Energy Efficiency: Review and Example Analysis  

SciTech Connect

Pacific Northwest National Laboratory (PNNL) modeled the employment impacts of a major national initiative to accelerate energy efficiency trends at one of two levels: 15 percent savings by 2030. In this scenario, efficiency activities save about 15 percent of the Annual Energy Outlook (AEO) Reference Case electricity consumption by 2030. It is assumed that additional energy savings in both the residential and commercial sectors begin in 2015 at zero, and then increase in an S-shaped market penetration curve, with the level of savings equal to about 7.0 percent of the AEO 2014 U.S. national residential and commercial electricity consumption saved by 2020, 14.8 percent by 2025, and 15 percent by 2030. 10 percent savings by 2030. In this scenario, additional savings begin at zero in 2015, increase to 3.8 percent in 2020, 9.8 percent by 2025, and 10 percent of the AEO reference case value by 2030. The analysis of the 15 percent case indicates that by 2030 more than 300,000 new jobs would likely result from such policies, including an annual average of more than 60,000 jobs directly supporting the installation and maintenance of energy efficiency measures and practices. These are new jobs resulting initially from the investment associated with the construction of more energy-efficient new buildings or the retrofit of existing buildings and would be sustained for as long as the investment continues. Based on what is known about the current level of building-sector energy efficiency jobs, this would represent an increase of more than 10 percent from the current estimated level of over 450,000 such jobs. The more significant and longer-lasting effect comes from the redirection of energy bill savings toward the purchase of other goods and services in the general economy, with its attendant influence on increasing the total number of jobs. This example analysis utilized PNNLs ImSET model, a modeling framework that PNNL has used over the past two decades to assess the economic impacts of the U.S. Department of Energys (DOEs) energy efficiency programs in the buildings sector.

Anderson, David M.; Belzer, David B.; Livingston, Olga V.; Scott, Michael J.

2014-06-18T23:59:59.000Z

130

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book (EERE)

3 3 Commercial Delivered and Primary Energy Consumption Intensities, by Year Percent Delivered Energy Consumption Primary Energy Consumption Floorspace Post-2000 Total Consumption per Total Consumption per (million SF) Floorspace (1) (10^15 Btu) SF (thousand Btu/SF) (10^15 Btu) SF (thousand Btu/SF) 1980 50.9 N.A. 5.99 117.7 10.57 207.7 1990 64.3 N.A. 6.74 104.8 13.30 207.0 2000 (2) 68.5 N.A. 8.20 119.7 17.15 250.3 2010 81.1 26% 8.74 107.7 18.22 224.6 2015 84.1 34% 8.88 105.5 18.19 216.2 2020 89.1 43% 9.02 101.2 19.15 214.9 2025 93.9 52% 9.56 101.8 20.06 213.6 2030 98.2 60% 9.96 101.5 20.92 213.1 2035 103.0 68% 10.38 100.8 21.78 211.4 Note(s): Source(s): EIA, State Energy Consumption Database, June 2011 for 1980-2009; DOE for 1980 floorspace; EIA, Annual Energy Outlook 1994, Jan. 1994, Table A5, p. 62 for 1990 floorspace; EIA, AEO 2003, Jan. 2003, Table A5, p. 127 for 2000 floorspace; and EIA, Annual Energy Outlook 2012 Early Release, Jan. 2012,

131

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book (EERE)

5 5 2015 Commercial Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Natural Fuel Other Renw. Site Site Primary Primary Gas Oil (1) LPG Fuel(2) En.(3) Electric Total Percent Electric (4) Total Percent Lighting 1.01 1.01 11.4% | 3.05 3.05 16.7% Space Heating 1.69 0.20 0.06 0.11 0.17 2.23 25.2% | 0.50 2.57 14.1% Space Cooling 0.04 0.51 0.54 6.1% | 1.52 1.56 8.6% Ventilation 0.54 0.54 6.1% | 1.62 1.62 8.9% Refrigeration 0.35 0.35 4.0% | 1.06 1.06 5.8% Electronics 0.32 0.32 3.6% | 0.95 0.95 5.2% Water Heating 0.48 0.03 0.03 0.09 0.63 7.1% | 0.27 0.81 4.5% Computers 0.19 0.19 2.1% | 0.57 0.57 3.1% Cooking 0.19 0.02 0.21 2.4% | 0.07 0.26 1.4% Other (5) 0.33 0.01 0.14 0.05 0.01 0.81 1.35 15.2% | 2.45 2.99 16.4% Adjust to SEDS (6) 0.68 0.19 0.63 1.50 16.9% | 1.90 2.77 15.2% Total 3.33 0.43 0.14 0.11 0.15 4.63 8.88 100% | 13.99 18.23 100% Note(s): Source(s): 1) Includes (0.35 quad) distillate fuel oil and (0.08 quad) residual fuel oil. 2) Kerosene (less than 0.01 quad) and coal (0.06 quad) are

132

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book (EERE)

6 6 2025 Commercial Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Natural Fuel Other Renw. Site Site Primary Primary Gas Oil (1) LPG Fuel(2) En.(3) Electric Total Percent Electric (4) Total Percent Lighting 1.08 1.08 11.3% | 3.27 3.27 16.3% Space Heating 1.68 0.18 0.06 0.11 0.16 2.20 23.1% | 0.49 2.53 12.6% Ventilation 0.60 0.60 6.2% | 1.80 1.80 9.0% Space Cooling 0.03 0.52 0.55 5.7% | 1.56 1.59 7.9% Electronics 0.40 0.40 4.2% | 1.22 1.22 6.1% Refrigeration 0.34 0.34 3.6% | 1.02 1.02 5.1% Water Heating 0.52 0.03 0.03 0.09 0.67 7.0% | 0.27 0.85 4.2% Computers 0.20 0.20 2.1% | 0.60 0.60 3.0% Cooking 0.21 0.02 0.23 2.4% | 0.07 0.27 1.4% Other (5) 0.48 0.01 0.15 0.05 0.01 1.12 1.82 19.1% | 3.39 4.09 20.3% Adjust to SEDS (6) 0.58 0.18 0.69 1.46 15.3% | 2.09 2.85 14.2% Total 3.50 0.41 0.15 0.12 0.15 5.23 9.56 100% | 15.77 20.10 100% Note(s): Source(s): 1) Includes (0.33 quad) distillate fuel oil and (0.08 quad) residual fuel oil. 2) Kerosene (less than 0.01 quad) and coal (0.06 quad) are

133

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book (EERE)

Commercial Primary Energy Consumption, by Year and Fuel Type (Quadrillion Btu and Percent of Total) Electricity Growth Rate Natural Gas Petroleum (1) Coal Renewable(2) Sales Losses Total Total(3) 2010-Year 1980 2.63 24.9% 1.31 12.4% 0.12 1.1% 0.02 0.2% 1.91 4.58 6.49 61.4% 1981 2.54 23.9% 1.12 10.5% 0.14 1.3% 0.02 0.2% 2.03 4.76 6.80 64.1% 1982 2.64 24.3% 1.03 9.5% 0.16 1.4% 0.02 0.2% 2.08 4.91 6.99 64.5% 1983 2.48 22.7% 1.16 10.7% 0.16 1.5% 0.02 0.2% 2.12 4.98 7.09 65.0% 1984 2.57 22.5% 1.22 10.7% 0.17 1.5% 0.02 0.2% 2.26 5.17 7.43 65.1% 1985 2.47 21.6% 1.08 9.4% 0.14 1.2% 0.02 0.2% 2.35 5.39 7.74 67.6% 1986 2.35 20.3% 1.16 10.0% 0.14 1.2% 0.03 0.2% 2.44 5.47 7.91 68.3% 1987 2.47 20.8% 1.13 9.5% 0.13 1.1% 0.03 0.2% 2.54 5.62 8.16 68.5% 1988 2.72 21.6% 1.09 8.7% 0.13 1.0% 0.03 0.3% 2.68 5.92 8.60 68.4% 1989 2.77 21.0% 1.04 7.9% 0.12 0.9% 0.10 0.8% 2.77 6.39 9.16 69.5% 1990 2.67 20.1%

134

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book (EERE)

7 7 2035 Commercial Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Natural Fuel Other Renw. Site Site Primary Primary Gas Oil (1) LPG Fuel(2) En.(3) Electric Total Percent Electric (4) Total Percent Lighting 1.15 1.15 11.1% | 3.40 3.40 15.6% Space Heating 1.65 0.18 0.06 0.11 0.16 2.16 20.8% | 0.48 2.48 11.3% Ventilation 0.65 0.65 6.2% | 1.91 1.91 8.7% Space Cooling 0.03 0.54 0.57 5.5% | 1.59 1.62 7.4% Electronics 0.46 0.46 4.5% | 1.37 1.37 6.3% Refrigeration 0.36 0.36 3.4% | 1.05 1.05 4.8% Water Heating 0.54 0.03 0.04 0.09 0.70 6.8% | 0.25 0.87 4.0% Computers 0.22 0.22 2.1% | 0.64 0.64 2.9% Cooking 0.22 0.02 0.25 2.4% | 0.06 0.29 1.3% Other (5) 0.81 0.01 0.16 0.06 0.01 1.46 2.51 24.2% | 4.30 5.35 24.5% Adjust to SEDS (6) 0.40 0.18 0.77 1.36 13.1% | 2.28 2.86 13.1% Total 3.65 0.40 0.16 0.12 0.16 5.89 10.38 100% | 17.33 21.83 100% Note(s): Source(s): 1) Includes (0.32 quad) distillate fuel oil and (0.08 quad) residual fuel oil. 2) Kerosene (0.01 quad) and coal (0.06 quad) are assumed

135

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book (EERE)

4 4 2010 Commercial Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Natural Fuel Other Renw. Site Site Primary Primary Gas Oil (1) LPG Fuel(2) En.(3) Electric Total Percent Electric (4) Total Percent Lighting 1.19 1.19 13.6% | 3.69 3.69 20.2% Space Heating 1.65 0.22 0.06 0.11 0.28 2.33 26.6% | 0.88 2.93 16.0% Space Cooling 0.04 0.84 0.88 10.1% | 2.60 2.64 14.5% Ventilation 0.54 0.54 6.1% | 1.66 1.66 9.1% Refrigeration 0.39 0.39 4.5% | 1.21 1.21 6.6% Water Heating 0.44 0.03 0.03 0.09 0.58 6.7% | 0.28 0.78 4.3% Electronics 0.26 0.26 3.0% | 0.81 0.81 4.4% Computers 0.21 0.21 2.4% | 0.66 0.66 3.6% Cooking 0.18 0.02 0.20 2.3% | 0.07 0.25 1.4% Other (5) 0.30 0.01 0.14 0.05 0.01 0.69 1.20 13.7% | 2.13 2.64 14.5% Adjust to SEDS (6) 0.68 0.25 0.02 0.95 10.9% | 0.06 0.99 5.4% Total 3.29 0.52 0.14 0.12 0.14 4.54 8.74 100% | 14.05 18.26 100% Note(s): Source(s): 1) Includes (0.43 quad) distillate fuel oil and (0.08 quad) residual fuel oil. 2) Kerosene (0.01 quad) and coal (0.06 quad) are assumed

136

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book (EERE)

2 2 Commercial Site Renewable Energy Consumption (Quadrillion Btu) (1) Growth Rate Wood (2) Solar Thermal (3) Solar PV (3) GHP Total 2010-Year 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 0.110 0.035 0.010 N.A. 0.155 0.4% 0.110 0.035 0.009 N.A. 0.154 0.4% 0.110 0.035 0.009 N.A. 0.153 0.4% 0.110 0.034 0.009 N.A. 0.153 0.4% 0.110 0.034 0.009 N.A. 0.152 0.4% 0.110 0.034 0.008 N.A. 0.152 0.4% 0.110 0.034 0.008 N.A. 0.151 0.4% 0.110 0.033 0.008 N.A. 0.151 0.4% 0.110 0.033 0.008 N.A. 0.150 0.4% 0.110 0.033 0.007 N.A. 0.150 0.4% 0.110 0.032 0.007 N.A. 0.149 0.4% 0.110 0.032 0.007 N.A. 0.149 0.4% 0.110 0.032 0.007 N.A. 0.149 0.5% 0.110 0.032 0.007 N.A. 0.149 0.5% 0.110 0.032 0.007 N.A. 0.148 0.6%

137

COMMERCIALIZING  

NLE Websites -- All DOE Office Websites (Extended Search)

COMMERCIALIZING TECHNOLOGIES & CREATING JOBS Our location in the SS&TP plays a vital role in our ability to leverage the deep domain expertise of Sandia. Our proximity to the Labs...

138

Commercial  

NLE Websites -- All DOE Office Websites (Extended Search)

SRC 7439-R3 Energy Edge Impact Evaluation Early Overview, Final Report. R. Diamond, J. Harris, M. Piette, O. deBuen, and B. Nordman. Lawrence Berkeley Lab. (1290). Commercial...

139

Reducing Demand through Efficiency and Services: Impacts and Opportunities in Buildings Sector (Carbon Cycle 2.0)  

SciTech Connect

Mary Ann Piette, Deputy of LBNL's Building Technologies Department and Director of the Demand Response Research Center, speaks at the Carbon Cycle 2.0 kick-off symposium Feb. 2, 2010. We emit more carbon into the atmosphere than natural processes are able to remove - an imbalance with negative consequences. Carbon Cycle 2.0 is a Berkeley Lab initiative to provide the science needed to restore this balance by integrating the Labs diverse research activities and delivering creative solutions toward a carbon-neutral energy future. http://carboncycle2.lbl.gov/

Piette, Mary Ann [Director, Demand Response Research Center] [Director, Demand Response Research Center

2010-02-02T23:59:59.000Z

140

Reducing Demand through Efficiency and Services: Impacts and Opportunities in Buildings Sector (Carbon Cycle 2.0)  

ScienceCinema (OSTI)

Mary Ann Piette, Deputy of LBNL's Building Technologies Department and Director of the Demand Response Research Center, speaks at the Carbon Cycle 2.0 kick-off symposium Feb. 2, 2010. We emit more carbon into the atmosphere than natural processes are able to remove - an imbalance with negative consequences. Carbon Cycle 2.0 is a Berkeley Lab initiative to provide the science needed to restore this balance by integrating the Labs diverse research activities and delivering creative solutions toward a carbon-neutral energy future. http://carboncycle2.lbl.gov/

Piette, Mary Ann [Director, Demand Response Research Center

2011-06-08T23:59:59.000Z

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Integrated estimation of commercial sector end-use load shapes and energy use intensities in the PG&E service area  

SciTech Connect

This project represents a unique research effort to address the commercial sector end-use energy forecasting data needs of the Pacific Gas and Electric Company (PG&E) and the California Energy Commission (CEC). The object of the project was to develop an updated set of commercial sector end-use energy use intensity (EUI) data that has been fully reconciled with measured data. The research was conducted in two stages. First, we developed reconciled electricity end-use EUIs and load shapes for each of the 11 building types in the inland and coastal regions of the PG&E service territory using information collected in 1986. Second, we developed procedures to translate these results into a consistent set of commercial sector forecasting model inputs recognizing the separate modeling conventions used by PG&E and CEC. EUIs have been developed for: II commercial building types; up to 10 end uses; up to 3 fuel types; 2 and 5 subservice territory forecasting regions (as specified by the PG&E and CEC forecasting models, respectively); and up to 2 distinct vintages corresponding to the period prior to and immediately following the adoption of the first generation of California building and equipment standards. For the electricity end uses, 36 sets of daily load shapes have been developed representing average weekday, average weekend, and peak weekday electricity use for each month of the year by building type for both the inland and coastal climate zones.

Akbari, H.; Eto, J.; Konopacki, S.; Afzal, A.; Heinemeier, K.; Rainer, L.

1993-12-01T23:59:59.000Z

142

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

Commercial sector energy demand Commercial sector energy demand For commercial buildings, pace of decline in energy intensity depends on technology figure data Average delivered energy consumption per square foot of commercial floorspace declines at an annual rate of 0.4 percent from 2011 to 2040 in the AEO2013 Reference case (Figure 59), while commercial floorspace grows by 1.0 percent per year. Natural gas consumption increases at about one-half the rate of delivered electricity consumption, which grows by 0.8 percent per year in the Reference case. With ongoing improvements in equipment efficiency and building shells, the growth of energy consumption declines more rapidly than commercial floorspace increases, and the average energy intensity of commercial buildings is reduced. Three alternative technology cases show the effects of efficiency

143

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

Commercial sector energy demand Commercial sector energy demand For commercial buildings, pace of decline in energy intensity depends on technology figure data Average delivered energy consumption per square foot of commercial floorspace declines at an annual rate of 0.4 percent from 2011 to 2040 in the AEO2013 Reference case (Figure 59), while commercial floorspace grows by 1.0 percent per year. Natural gas consumption increases at about one-half the rate of delivered electricity consumption, which grows by 0.8 percent per year in the Reference case. With ongoing improvements in equipment efficiency and building shells, the growth of energy consumption declines more rapidly than commercial floorspace increases, and the average energy intensity of commercial buildings is reduced. Three alternative technology cases show the effects of efficiency

144

Energy Conservation Through Demand-Side Management (DSM): A Methodology to Characterize Energy Use Among commercial Market Segments  

E-Print Network (OSTI)

, 3% Other, 7% Lighting, 23% Figure 1. Distribution of U.S. commercial building use Figure 2. Distribution of U.S. commercial building by floor area. (EIA, 2006). energy use. (EIA, 2006). Commercial buildings consist of a variety...Wh/sf/yr (Figure 4). Energy use intensity in the southeast U.S. however, was roughly half the U.S. average for all markets (EIA, 2006). 1% 2% 2% 5% 5% 6% 6% 6% 7% 8% 8% 9% 13% 22% 0% 5% 10% 15% 20% 25% Vacant Government Religious All Other Service Food...

Grosskopf, K. R.; Oppenheim, P.; Barclay, D

2007-01-01T23:59:59.000Z

145

Sector-specific issues and reporting methodologies supporting the General Guidelines for the voluntary reporting of greenhouse gases under Section 1605(b) of the Energy Policy Act of 1992. Volume 1: Part 1, Electricity supply sector; Part 2, Residential and commercial buildings sector; Part 3, Industrial sector  

SciTech Connect

DOE encourages you to report your achievements in reducing greenhouse gas emissions and sequestering carbon under this program. Global climate change is increasingly being recognized as a threat that individuals and organizations can take action against. If you are among those taking action, reporting your projects may lead to recognition for you, motivation for others, and synergistic learning for the global community. This report discusses the reporting process for the voluntary detailed guidance in the sectoral supporting documents for electricity supply, residential and commercial buildings, industry, transportation, forestry, and agriculture. You may have reportable projects in several sectors; you may report them separately or capture and report the total effects on an entity-wide report.

Not Available

1994-10-01T23:59:59.000Z

146

The Market and Technical Potential for Combined Heat and Power in the Commercial/Institutional Sector, January 2000  

Energy.gov (U.S. Department of Energy (DOE))

Report of an analysis to determine the potential for cogeneration or combined heat and power (CHP) in the commercial/institutional market.

147

EIA - Annual Energy Outlook 2008 - Electricity Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Demand Electricity Demand Annual Energy Outlook 2008 with Projections to 2030 Electricity Demand Figure 60. Annual electricity sales by sector, 1980-2030 (billion kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 61. Electricity generation by fuel, 2006 and 2030 (billion kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. figure data Residential and Commercial Sectors Dominate Electricity Demand Growth Total electricity sales increase by 29 percent in the AEO2008 reference case, from 3,659 billion kilowatthours in 2006 to 4,705 billion in 2030, at an average rate of 1.1 percent per year. The relatively slow growth follows the historical trend, with the growth rate slowing in each succeeding

148

Barriers to the increased utilization of coal combustion/desulfurization by-products by government & commercial sectors - update 1998,7/99,3268845  

NLE Websites -- All DOE Office Websites (Extended Search)

BARRIERS TO THE INCREASED UTILIZATION BARRIERS TO THE INCREASED UTILIZATION OF COAL COMBUSTION/DESULFURIZATION BY-PRODUCTS BY GOVERNMENT AND COMMERCIAL SECTORS - UPDATE 1998 EERC Topical Report DE-FC21-93MC-30097--79 Submitted by: Debra F. Pflughoeft-Hassett Everett A. Sondreal Edward N. Steadman Kurt E. Eylands Bruce A. Dockter Energy & Environmental Research Center PO Box 9018 Grand Forks, ND 58202-9018 99-EERC-07-08 July 1999 i TABLE OF CONTENTS LIST OF FIGURES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv LIST OF TABLES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v ACKNOWLEDGMENTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vi LIST OF ACRONYMS AND ABBREVIATIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii TERMINOLOGY AND DEFINITIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . .

149

Honeywell Demonstrates Automated Demand Response Benefits for...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Honeywell Demonstrates Automated Demand Response Benefits for Utility, Commercial, and Industrial Customers Honeywell Demonstrates Automated Demand Response Benefits for Utility,...

150

Commercial Marketing Toolkit  

NLE Websites -- All DOE Office Websites (Extended Search)

Commercial-Marketing-Toolkit Sign In About | Careers | Contact | Investors | bpa.gov Search Policy & Reporting Expand Policy & Reporting EE Sectors Expand EE Sectors Technology...

151

Status of the space-cooling-equipment market in the commercial sector. Topical report, November 1985-March 1986  

SciTech Connect

The report covers the cooling equipment market for commercial applications as characterized by a data base on shipments (with adjustment for U.S. exports and foreign imports), highlighting activities in the absorption chiller market, and predicting scenarios for future equipment shipments. An analysis of unitary air-conditioning equipment and commercial liquid chillers was performed to determine the population of domesticaly shipped equipment by type and capacity. A review of absorption liquid chiller marketing was performed to identify marketing techniques used to enhance absorption liquid chiller sales and to determine decision-making criteria used to evaluate replacement of existing equipment with absorption liquid chillers. Finally, cooling-market projections were made to forecast the future sales trends of commercial air-conditioning equipment.

Harris, L.; Katsenelenbogen, S.; Bernstein, H.; Bluestein, J.

1986-04-01T23:59:59.000Z

152

Encyclopedia of Energy, Volume 1, pp 605616. Elsevier. 2004. Author nonexclusive, royalty-free copyright 1 Commercial Sector and  

E-Print Network (OSTI)

of Commercial Energy Use 3. Measuring Energy Performance 4. Performance Rating Systems 5. Energy Efficiency used from all sources in a year. British thermal unit (Btu) Generically, the amount of energy or heatEncyclopedia of Energy, Volume 1, pp 605­616. Elsevier. 2004. Author nonexclusive, royalty

Oak Ridge National Laboratory

153

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

7. Key assumptions for the commercial sector in the AEO2012 integrated demand technology cases 7. Key assumptions for the commercial sector in the AEO2012 integrated demand technology cases Assumptions Integrated 2011 Deand Technology Integraged High Demand Technologya Integrated Buildings Best Available Demand Technologya End-use equipment Limited to technology menu available in 2011. Promulgated standards still take effect. Earlier availability, lower cost, and/ or higher efficiencies for advanced equipment. Purchases limited to highest available efficiency for each technology class, regardless of cost. Hurdle rates Same as Reference case distribution. All energy efficiency investments evaluated at 7-percent real interest rate. All energy efficiency investments evaluated at 7-percent real interest rate. Building shells Fixed at 2011 levels. 25 percent more improvement than in the Reference case by 2035. 50 percent more improvement than in the Reference case by 2035.

154

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

Commercial Sector Energy Demand Commercial Sector Energy Demand On This Page End-use efficiency... Growth in electricity use... Core technologies... Improved interconnection... End-use efficiency improvements could lower energy consumption per capita The AEO2011 Reference case shows minimal change in commercial energy use per capita between 2009 and 2035 (Figure 62). While growth in commercial floorspace (1.2 percent per year) is faster than growth in population (0.9 percent per year), energy use per capita remains relatively steady due to efficiency improvements in equipment and building shells. Efficiency standards and the addition of more efficient technologies account for a large share of the improvement in the efficiency of end-use services, notably in space cooling, refrigeration, and lighting. figure data

155

Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning  

E-Print Network (OSTI)

the US EIA Commercial Buildings Energy Consumption Survey (2: US commercial building stock energy consumption and floorof time varying energy consumption in the US commercial

Coffey, Brian

2010-01-01T23:59:59.000Z

156

Framework for formulating a performance-based incentive-rebate scale for the demand-side-energy management scheme for commercial buildings in Hong Kong  

Science Journals Connector (OSTI)

Many, but not all, rebate-type demand side management (DSM) programmes worldwide have met with success. The rebate rate offered is a critical factor to success but a rational rebate scale determination method that would help strike a proper balance between the incentive offered and the effectiveness of the programme is lacking. For the DSM programmes recently launched in Hong Kong, the rebate rates are disproportionate to the cost and performance of the promoted energy-saving measures, resulting in diverse participation rates among the programmes. This paper presents a conceptual framework for formulating the rebate scales for incentive-based DSM programmes for commercial buildings, which would attract participation of building owners and boost electricity saving. The establishment of the scale starts from developing a performance curve that relates the cost effectiveness and the long-term benefits of different energy-saving DSM measures. The rebate scale is set based on the premise that a proportionally higher rebate rate should be offered for the adoption of each additional measure, which would yield a diminished marginal rate of return. Analysis showed that replacing the current rebate scale by the proposed scale would lead to benefits, both to the building owners and the utility companies.

W.L. Lee; F.W.H. Yik

2002-01-01T23:59:59.000Z

157

Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

page intentionally left blank page intentionally left blank 69 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Transportation Demand Module The NEMS Transportation Demand Module estimates transportation energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), buses, freight and passenger aircraft, freight and passenger rail, freight shipping, and miscellaneous

158

electricity demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description The New Zealand Ministry of Economic Development publishes energy data including many datasets related to electricity. Included here are three electricity consumption and demand datasets, specifically: annual observed electricity consumption by sector (1974 to 2009); observed percentage of consumers by sector (2002 - 2009); and regional electricity demand, as a percentage of total demand (2009). Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 03rd, 2009 (5 years ago) Keywords Electricity Consumption electricity demand energy use by sector New Zealand Data application/vnd.ms-excel icon Electricity Consumption by Sector (1974 - 2009) (xls, 46.1 KiB) application/vnd.ms-excel icon Percentage of Consumers by Sector (2002 - 2009) (xls, 43.5 KiB)

159

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

Electricity Electricity On This Page Residential and... Coal-fired plants... Most new capacity... Annual capacity... Growth in generating... Costs and regulatory... EPACT2005 tax... Biomass and wind... Renewable capacity... State portfolio... Electricity use... Real Growth in... Improved interconn... Residential and commercial sectors dominate electricity demand growth Electricity demand growth has slowed in each decade since the 1950s. After 9.8-percent annual growth in the 1950s, demand (including retail sales and direct use) increased 2.4 percent per year in the 1990s. From 2000 to 2009 (including the 2008-2009 economic downturn) demand grew by 0.5 percent per year. In the Reference case, electricity demand growth rebounds but remains relatively slow, as growing demand for electricity services is offset by

160

Intelligent Building Energy Information and Control Systems for Low-Energy Operations and Optimal Demand Response  

E-Print Network (OSTI)

Open Automated Demand Response Communicationsfrom 7YearsofAutomatedDemandResponseinCommercialManagementandDemandResponseinCommercial Buildings. ,

Piette, Mary Ann

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

162

Energy Efficiency and the Finance Sector | Open Energy Information  

Open Energy Info (EERE)

the Finance Sector the Finance Sector Jump to: navigation, search Name Energy Efficiency and the Finance Sector Agency/Company /Organization United Nations Environment Programme Sector Energy Focus Area Energy Efficiency Topics Finance, Market analysis, Policies/deployment programs Website http://www.unepfi.org/fileadmi References Energy Efficiency and the Finance Sector[1] Summary "This survey was carried out in 2008, when high and volatile oil prices, steadily rising demand for energy, and global imperatives, such as climate change, created significant renewed attention to energy efficiency - both in the policy and commercial world. UNEP Finance Initiative sought to provide an evidence base on current lending activities in the energy efficiency space, as well as views on this issue through a survey among

163

Linking Continuous Energy Management and Open Automated Demand Response  

E-Print Network (OSTI)

A. Barat, D. Watson. Demand Response Spinning ReserveOpen Automated Demand Response Communication Standards:Dynamic Controls for Demand Response in a New Commercial

Piette, Mary Ann

2009-01-01T23:59:59.000Z

164

Smart grid technologies and applications for the industrial sector  

Science Journals Connector (OSTI)

Smart grids have become a topic of intensive research, development, and deployment across the world over the last few years. The engagement of consumer sectorsresidential, commercial, and industrialis widely acknowledged as crucial for the projected benefits of smart grids to be realized. Although the industrial sector has traditionally been involved in managing power use with what today would be considered smart grid technologies, these applications have mostly been one-of-a-kind, requiring substantial customization. Our objective in this article is to motivate greater interest in smart grid applications in industry. We provide an overview of smart grids and of electricity use in the industrial sector. Several smart grid technologies are outlined, and automated demand response is discussed in some detail. Case studies from aluminum processing, cement manufacturing, food processing, industrial cooling, and utility plants are reviewed. Future directions in interoperable standards, advances in automated demand response, energy use optimization, and more dynamic markets are discussed.

Tariq Samad; Sila Kiliccote

2012-01-01T23:59:59.000Z

165

Assumptions to the Annual Energy Outlook 2001 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, industry sport utility vehicles and vans), commercial light trucks (8501-10,000 lbs), freight trucks (>10,000 lbs), freight and passenger airplanes, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption. Key Assumptions Macroeconomic Sector Inputs

166

Automated Demand Response Technology Demonstration Project for Small and  

NLE Websites -- All DOE Office Websites (Extended Search)

Technology Demonstration Project for Small and Technology Demonstration Project for Small and Medium Commercial Buildings Title Automated Demand Response Technology Demonstration Project for Small and Medium Commercial Buildings Publication Type Report LBNL Report Number LBNL-4982E Year of Publication 2011 Authors Page, Janie, Sila Kiliccote, Junqiao Han Dudley, Mary Ann Piette, Albert K. Chiu, Bashar Kellow, Edward Koch, and Paul Lipkin Date Published 07/2011 Publisher CEC/LBNL Keywords demand response, emerging technologies, market sectors, medium commercial business, openadr, small commercial, small commercial business, technologies Abstract Small and medium commercial customers in California make up about 20-25% of electric peak load in California. With the roll out of smart meters to this customer group, which enable granular measurement of electricity consumption, the investor-owned utilities will offer dynamic prices as default tariffs by the end of 2011. Pacific Gas and Electric Company, which successfully deployed Automated Demand Response (AutoDR) Programs to its large commercial and industrial customers, started investigating the same infrastructures application to the small and medium commercial customers. This project aims to identify available technologies suitable for automating demand response for small-medium commercial buildings; to validate the extent to which that technology does what it claims to be able to do; and determine the extent to which customers find the technology useful for DR purpose. Ten sites, enabled by eight vendors, participated in at least four test AutoDR events per site in the summer of 2010. The results showed that while existing technology can reliably receive OpenADR signals and translate them into pre-programmed response strategies, it is likely that better levels of load sheds could be obtained than what is reported here if better understanding of the building systems were developed and the DR response strategies had been carefully designed and optimized for each site.

167

U.S. Coal Supply and Demand: 2010 Year in Review - Energy Information  

Gasoline and Diesel Fuel Update (EIA)

U.S. Coal Supply and Demand: 2010 Year in Review U.S. Coal Supply and Demand: 2010 Year in Review Release Date: June 1, 2011 | Next Release Date: Periodically | full report Introduction Coal production in the United States in 2010 increased to a level of 1,085.3 million short tons according to preliminary data from the U.S. Energy Information Administration (EIA), an increase of 1.0 percent, or 10.4 million short tons above the 2009 level of 1,074.9 million short tons (Table 1). In 2010 U.S. coal consumption increased in all sectors except commercial and institutional while total coal stocks fell slightly for the year. Coal consumption in the electric power sector in 2010 was higher by 4.5 percent, while coking coal consumption increased by 37.9 percent and the other industrial sector increased by 7.1 percent. The commercial and

168

Demand Reduction  

Energy.gov (U.S. Department of Energy (DOE))

Grantees may use funds to coordinate with electricity supply companies and utilities to reduce energy demands on their power systems. These demand reduction programs are usually coordinated through...

169

Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning  

E-Print Network (OSTI)

Potential for Achieving Net Zero-Energy Buildings in thea commitment to delivering net-zero energy new (and in someplan calls for net-zero energy commercial buildings by

Coffey, Brian

2010-01-01T23:59:59.000Z

170

Commercial | OpenEI  

Open Energy Info (EERE)

Commercial Commercial Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (7 months ago) Date Updated July 02nd, 2013 (5 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

171

Electricity savings potentials in the residential sector of Bahrain  

SciTech Connect

Electricity is the major fuel (over 99%) used in the residential, commercial, and industrial sectors in Bahrain. In 1992, the total annual electricity consumption in Bahrain was 3.45 terawatt-hours (TWh), of which 1.95 TWh (56%) was used in the residential sector, 0.89 TWh (26%) in the commercial sector, and 0.59 TWh (17%) in the industrial sector. Agricultural energy consumption was 0.02 TWh (less than 1%) of the total energy use. In Bahrain, most residences are air conditioned with window units. The air-conditioning electricity use is at least 50% of total annual residential use. The contribution of residential AC to the peak power consumption is even more significant, approaching 80% of residential peak power demand. Air-conditioning electricity use in the commercial sector is also significant, about 45% of the annual use and over 60% of peak power demand. This paper presents a cost/benefit analysis of energy-efficient technologies in the residential sector. Technologies studied include: energy-efficient air conditioners, insulating houses, improved infiltration, increasing thermostat settings, efficient refrigerators and freezers, efficient water heaters, efficient clothes washers, and compact fluorescent lights. We conservatively estimate a 32% savings in residential electricity use at an average cost of about 4 fils per kWh. (The subsidized cost of residential electricity is about 12 fils per kWh. 1000 fils = 1 Bahrain Dinar = US$ 2.67). We also discuss major policy options needed for implementation of energy-efficiency technologies.

Akbari, H. [Lawrence Berkeley National Lab., CA (United States); Morsy, M.G.; Al-Baharna, N.S. [Univ. of Bahrain, Manama (Bahrain)

1996-08-01T23:59:59.000Z

172

Demand Response: Load Management Programs  

E-Print Network (OSTI)

CenterPoint Load Management Programs CATEE Conference October, 2012 Agenda Outline I. General Demand Response Definition II. General Demand Response Program Rules III. CenterPoint Commercial Program IV. CenterPoint Residential Programs... V. Residential Discussion Points Demand Response Definition of load management per energy efficiency rule 25.181: ? Load control activities that result in a reduction in peak demand, or a shifting of energy usage from a peak to an off...

Simon, J.

2012-01-01T23:59:59.000Z

173

Best Management Practice #11: Commercial Kitchen Equipment  

Energy.gov (U.S. Department of Energy (DOE))

Commercial kitchen equipment represents a large set of water users in the non-residential sector. Water efficiency for commercial kitchen equipment is especially important because high volume...

174

Louisville Private Sector  

NLE Websites -- All DOE Office Websites (Extended Search)

Private Sector Attendees Private Sector Attendees ENERGY STAR Kick-off Meeting December 2007 5/3rd Bank Al J Schneider Company (The Galt House East) Baptist Hospital East Brown - Forman Building Owner and Managers Association (BOMA) Louisville CB Richard Ellis Commercial Real Estate Women (CREW) Louisville Cushman Wakefield General Electric Company Golden Foods Greater Louisville Chapter of International Facility Management Association (IFMA) Hines Humana, Inc Institute of Real Estate Management (IREM) Kentucky Chapter Jewish Hospital & St Mary's Healthcare Kentucky Chapter, Certified Commercial Investment Managers (CCIM) Kentucky Governor's Office of Energy Policy Kentucky Society of Health Care Engineers Kindred Health Care Louisville Air Pollution Control Board

175

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

Industrial sector energy demand Industrial sector energy demand On This Page Heat and power energy... Industrial fuel mix changes... Iron and steel... Delivered energy use... Chemical industry use of fuels... Output growth for... Industrial and commercial... Heat and power energy consumption increases in manufacturing industries Despite a 54-percent increase in industrial shipments, industrial energy consumption increases by only 19 percent from 2009 to 2035 in the AEO2011 Reference case. Energy consumption growth is moderated by a shift in the mix of output, as growth in energy-intensive manufacturing output (aluminum, steel, bulk chemicals, paper, and refining) slows and growth in high-value (but less energy-intensive) industries, such as computers and transportation equipment, accelerates. figure data

176

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

coal Residential coal Residential market trends icon Market Trends In the AEO2011 Reference case, residential energy use per capita declines by 17.0 percent from 2009 to 2035 (Figure 58). Delivered energy use stays relatively constant while population grows by 26.7 percent during the period. Growth in the number of homes and in average square footage leads to increased demand for energy services, which is offset in part by efficiency gains in space heating, water heating, and lighting equipment. Population shifts to warmer and drier climates also reduce energy demand for space heating. See more issues Issues in Focus In 2009, the residential and commercial buildings sectors used 19.6 quadrillion Btu of delivered energy, or 21 percent of total U.S. energy consumption. The residential sector accounted for 57 percent of that energy

177

Demand Response Enabling Technologies and Approaches for Industrial Facilities  

E-Print Network (OSTI)

, there are also huge opportunities for demand response in the industrial sector. This paper describes some of the demand response initiatives that are currently active in New York State, explaining applicability of industrial facilities. Next, we discuss demand...

Epstein, G.; D'Antonio, M.; Schmidt, C.; Seryak, J.; Smith, C.

2005-01-01T23:59:59.000Z

178

Design and Operation of an Open, Interoperable Automated Demand Response  

NLE Websites -- All DOE Office Websites (Extended Search)

Design and Operation of an Open, Interoperable Automated Demand Response Design and Operation of an Open, Interoperable Automated Demand Response Infrastructure for Commercial Buildings Title Design and Operation of an Open, Interoperable Automated Demand Response Infrastructure for Commercial Buildings Publication Type Journal Article LBNL Report Number LBNL-2340e Year of Publication 2009 Authors Piette, Mary Ann, Girish Ghatikar, Sila Kiliccote, David S. Watson, Edward Koch, and Dan Hennage Journal Journal of Computing Science and Information Engineering Volume 9 Issue 2 Keywords communication and standards, market sectors, openadr Abstract This paper describes the concept for and lessons from the development and field-testing of an open, interoperable communications infrastructure to support automated demand response (auto-DR). Automating DR allows greater levels of participation, improved reliability, and repeatability of the DR in participating facilities. This paper also presents the technical and architectural issues associated with auto-DR and description of the demand response automation server (DRAS), the client/server architecture-based middle-ware used to automate the interactions between the utilities or any DR serving entity and their customers for DR programs. Use case diagrams are presented to show the role of the DRAS between utility/ISO and the clients at the facilities.

179

building demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

180

Q:\asufinal_0107_demand.vp  

Gasoline and Diesel Fuel Update (EIA)

00 00 (AEO2000) Assumptions to the January 2000 With Projections to 2020 DOE/EIA-0554(2000) Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 Natural Gas Transmission and Distribution

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Analysis of Open Automated Demand Response Deployments in California and Guidelines to Transition to Industry Standards  

E-Print Network (OSTI)

to Automated Demand Response and the OpenADR Automated Demand Response Program. https://Data for Automated Demand Response in Commercial

Ghatikar, Girish

2014-01-01T23:59:59.000Z

182

Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid  

E-Print Network (OSTI)

for Automated Demand Response in Commercial Buildings. In2010. Open Automated Demand Response Dynamic Pricing2009. Open Automated Demand Response Communications

Ghatikar, Girish

2010-01-01T23:59:59.000Z

183

Design and Implementation of an Open, Interoperable Automated Demand Response Infrastructure  

E-Print Network (OSTI)

of Fully Automated Demand Response in Large Facilities. CEC-Fully Automated Demand Response Tests in Large Facilities.Management and Demand Response in Commercial Building. ,

Piette, Mary Ann; Kiliccote, Sila; Ghatikar, Girish

2008-01-01T23:59:59.000Z

184

Commercialization | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Commercialization Commercialization Commercialization See an example of these steps in the commercialization process of Nickel Metal Hydride Batteries. See an example of these steps in the commercialization process of Nickel Metal Hydride Batteries. Commercialization is the process by which technologies and innovations developed in the lab make their way to market. By licensing patents or using Energy Department facilities, researchers from the private sector and academia are able to take advantage of federal investments into basic science research, while researchers are able to ensure that their discoveries have a life beyond the lab. The Energy Department also helps entrepreneurs, small business owners and

185

Transportation Demand This  

U.S. Energy Information Administration (EIA) Indexed Site

Transportation Demand Transportation Demand This page inTenTionally lefT blank 75 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Transportation Demand Module The NEMS Transportation Demand Module estimates transportation energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific and associated technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), buses, freight and passenger aircraft, freight

186

Energy demand  

Science Journals Connector (OSTI)

The basic forces pushing up energy demand are population increase and economic growth. From ... of these it is possible to estimate future energy requirements.

Geoffrey Greenhalgh

1980-01-01T23:59:59.000Z

187

Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning  

SciTech Connect

This paper describes the origin, structure and continuing development of a model of time varying energy consumption in the US commercial building stock. The model is based on a flexible structure that disaggregates the stock into various categories (e.g. by building type, climate, vintage and life-cycle stage) and assigns attributes to each of these (e.g. floor area and energy use intensity by fuel type and end use), based on historical data and user-defined scenarios for future projections. In addition to supporting the interactive exploration of building stock dynamics, the model has been used to study the likely outcomes of specific policy and innovation scenarios targeting very low future energy consumption in the building stock. Model use has highlighted the scale of the challenge of meeting targets stated by various government and professional bodies, and the importance of considering both new construction and existing buildings.

Coffey, Brian; Borgeson, Sam; Selkowitz, Stephen; Apte, Josh; Mathew, Paul; Haves, Philip

2009-07-01T23:59:59.000Z

188

sector | OpenEI  

Open Energy Info (EERE)

sector sector Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 5, and contains only the reference case. The dataset uses quadrillion btu. The data is broken down into residential, commercial, industrial, transportation, electric power and total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Energy Consumption sector South Atlantic Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - South Atlantic- Reference Case (xls, 297.6 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually

189

Sector 7  

NLE Websites -- All DOE Office Websites (Extended Search)

Publications Publications A Reminder for Sector 7 PIs and Users: Please report your new publications to the Sector Manager and the CAT Director. The APS requires PIs to submit new publications to its Publication Database, a link which can be found on the Publication section of the APS web site. Publication information for work done at 7ID Proper acknowledgement sentences to include in papers. Sector 7 Call for APS User Activity Reports. APS User Activity Reports by MHATT-CATers. Recent articles Recent theses Sector 7 Reports Sector 7 Recent research highlights (New) Design documents in ICMS on Sector 7 construction and operation Sector 7 related ICMS documents Library Resources available on the WWW The ANL Library system ANL electronic journal list AIM Find it! Citation Ranking by ISI (see Journal citation report)

190

Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Residential Demand Module The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" (UEC) by appliance (in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type

191

1999 Commercial Buildings Characteristics--Trends in Commercial Buildings  

U.S. Energy Information Administration (EIA) Indexed Site

Trends in Commercial Buildings and Floorspace Trends in Commercial Buildings and Floorspace Trends in Commercial Buildings and Floorspace The addition of commercial buildings and floorspace from 1995 to 1999 continued the general trends noted since 1979 (Figures 1 and 2). The size of the commercial buildings has grown steadily over the twenty years of CBECS. Each year more buildings are added to the sector (new construction or conversion of pre-existing buildings to commercial activity) than are removed (demolition or conversion to non-commercial activity). The definition for the commercial buildings population was changed for the 1995 CBECS which resulted in a slightly smaller buildings population and accounts for the data break in both Figures 1 and 2 (see report "Trends in the Commercial Buildings Sector" for complete details). Figure 1. Total Commercial Buildings, 1979 to 1999

192

Commercial Buildings Consortium  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Commercial Buildings Consortium Commercial Buildings Consortium Sandy Fazeli National Association of State Energy Officials sfazeli@naseo.org; 703-299-8800 ext. 17 April 2, 2013 Supporting Consortium for the U.S. Department of Energy Net-Zero Energy Commercial Buildings Initiative 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: * Many energy savings opportunities in commercial buildings remain untapped, underserved by the conventional "invest-design-build- operate" approach * The commercial buildings sector is siloed, with limited coordination

193

Findings from Seven Years of Field Performance Data for Automated Demand  

NLE Websites -- All DOE Office Websites (Extended Search)

Seven Years of Field Performance Data for Automated Demand Seven Years of Field Performance Data for Automated Demand Response in Commercial Buildings Title Findings from Seven Years of Field Performance Data for Automated Demand Response in Commercial Buildings Publication Type Conference Paper LBNL Report Number LBNL-3643E Year of Publication 2010 Authors Kiliccote, Sila, Mary Ann Piette, Johanna L. Mathieu, and Kristen Parrish Conference Name 2010 ACEEE Summer Study on Energy Efficiency in Buildings Conference Location Pacific Grove, CA Keywords market sectors, openadr Abstract California is a leader in automating demand response (DR) to promote low-cost, consistent, and predictable electric grid management tools. Over 250 commercial and industrial facilities in California participate in fully-automated programs providing over 60 MW of peak DR savings. This paper presents a summary of Open Automated DR (OpenADR) implementation by each of the investor-owned utilities in California. It provides a summary of participation, DR strategies and incentives. Commercial buildings can reduce peak demand from 5 to 15% with an average of 13%. Industrial facilities shed much higher loads. For buildings with multi-year savings we evaluate their load variability and shed variability. We provide a summary of control strategies deployed, along with costs to install automation. We report on how the electric DR control strategies perform over many years of events. We benchmark the peak demand of this sample of buildings against their past baselines to understand the differences in building performance over the years. This is done with peak demand intensities and load factors. The paper also describes the importance of these data in helping to understand possible techniques to reach net zero energy using peak day dynamic control capabilities in commercial buildings. We present an example in which the electric load shape changed as a result of a lighting retrofit.

194

Assumptions to the Annual Energy Outlook 2000 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module estimates energy consumption across the nine Census Divisions and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, industry sport utility vehicles and vans), commercial light trucks (8501-10,000 lbs), freight trucks (>10,000 lbs), freight and passenger airplanes, freight rail, freight shipping, mass transit, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption. Transportation Demand Module estimates energy consumption across the nine Census Divisions and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, industry sport utility vehicles and vans), commercial light trucks (8501-10,000 lbs), freight trucks (>10,000 lbs), freight and passenger airplanes, freight rail, freight shipping, mass transit, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption. Key Assumptions Macroeconomic Sector Inputs

195

Demand Responsive Lighting: A Scoping Study  

E-Print Network (OSTI)

9: Lighting Energy Usage for Commercial Building Lighting incommercial buildings. 4.2. Energy The California Energy Commission has analyzed lighting energy usageCommercial Sector on 2003 Peak Day [Source: CEC 2003 Data] Figure 9: Lighting Energy Usage for Commercial Building

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

196

Sector 7  

NLE Websites -- All DOE Office Websites (Extended Search)

Sector 7 : Time Resolved Research Group Sector 7 is operated by the Time Resolved Research Group, which is part of the X-ray Science Division (XSD) of the Advanced Photon Source. Our research focus is the study of Ultrafast fs-laser excitation of matter, using x-ray scattering and spectroscopy techniques. The sector developped two hard x-ray beamlines (7ID and 7BM) focused on time-resolved science. The 7BM beamline has been dedicated for time-resolved radiography of fuel sprays. Sector 7 Links: What's New Beamlines Overview User information: Getting Beamtime Current Research Programs Links to our partners, and collaborators (New) Publications Contact information Operational data (w/ current 7ID schedule) ES&H information (ESAF, EOR, TMS training, User Training)

197

Energy demand and economic consequences of transport policy  

Science Journals Connector (OSTI)

Transport sector is a major consumer of energy. Concern of energy scarcity and price fluctuations enhanced significance of ... sector in national planning. This paper analyses energy demand for transport services...

J. B. Alam; Z. Wadud; J. B. Alam

2013-09-01T23:59:59.000Z

198

Commercialization of clean coal technologies  

SciTech Connect

The steps to commercialization are reviewed in respect of their relative costs, the roles of the government and business sectors, and the need for scientific, technological, and economic viability. The status of commercialization of selected clean coal technologies is discussed. Case studies related to a clean coal technology are reviewed and conclusions are drawn on the factors that determine commercialization.

Bharucha, N. [Dept. of Primary Industries and Energy, Canberra (Australia)

1994-12-31T23:59:59.000Z

199

Carbon dioxide emissions from the U.S. electricity sector  

SciTech Connect

As climate change negotiators from around the world prepared together in 1996 to consider new international targets and policies for greenhouse-gas reductions, the US Department of Energy asked the authors to review the options available to the electricity sector to reduce CO{sub 2} emissions. The charge was to focus on supply-side options and utility demand-side management (DSM) programs because other researchers were considered energy efficiency options for the residential, commercial, and industrial sectors. The next section presents the EIA baseline projections of electricity production, use, and CO{sub 2} emissions to the year 2010. Subsequent sections briefly summarize the options available to the electricity industry to reduce its CO{sub 2} emissions, speculate on how industry restructuring might affect the ability of the industry and its regulators to reduce CO{sub 2} emissions, and discuss the policies available to affect those emissions: research and development, voluntary programs, regulation, and fiscal policies.

Hirst, E.; Baxter, L. [Oak Ridge National Lab., TN (United States)

1998-02-01T23:59:59.000Z

200

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

U.S. energy demand U.S. energy demand In the United States, average energy use per person declines from 2010 to 2035 figure data Growth in energy use is linked to population growth through increases in housing, commercial floorspace, transportation, and goods and services. These changes affect not only the level of energy use but also the mix of fuels consumed. Changes in the structure of the economy and in the efficiency of the equipment deployed throughout the economy also have an impact on energy use per capita. The shift in the industrial sector away from energy-intensive manufacturing toward services is one reason for the projected decline in industrial energy intensity (energy use per dollar of GDP), but its impact on energy consumption per capita is less direct (Figure 71). From 1990 to

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Trends in Commercial Buildings--Introduction  

U.S. Energy Information Administration (EIA) Indexed Site

Home > Commercial > Commercial Buildings Home > Special Home > Commercial > Commercial Buildings Home > Special Reports > Trends in Commercial Buildings Trends: Buildings and Floorspace Energy Consumption and Energy Sources Overview: The Commercial Buildings Energy Consumption Survey (CBECS) Trends in the Commercial Buildings Sector Since 1978, the Energy Information Administration has collected basic statistical information from three of the major end-use sectors— residential, and industrial— periodic energy consumption surveys. Each survey is a snapshot of how energy is used in the year of the survey; the series of surveys in each sector reveals the trends in energy use for the sector. Introduction The Commercial Buildings Energy Consumption Survey (CBECS) collects data from a sample of buildings representative of the commercial buildings

202

Greenhouse Gas Abatement with Distributed Generation in California's Commercial Buildings  

E-Print Network (OSTI)

energy efficiency requirements. In this work, we estimate the CO 2 abatement potential in the California commercial sector and report

Stadler, Michael

2010-01-01T23:59:59.000Z

203

Sector X  

NLE Websites -- All DOE Office Websites (Extended Search)

X X If there is an emergency at ETTP requiring evacuation, Sector X reports to the shelter at: Oak Ridge High School 127 Providence Road Oak Ridge, TN 37830 Take most direct route to northbound Bethel Valley Road toward Oak Ridge. Turn left onto Illinois Avenue (Highway 62). Turn right onto Oak Ridge Turnpike and turn left to Oak Ridge High School. If there is an emergency at ORNL requiring evacuation, Sector X reports to the shelter at: Karns High School 2710 Byington Solway Road Knoxville, TN 37931 Take most direct route to northbound Bethel Valley Road toward Knoxville. Then take a left at Highway 62 (Oak Ridge Highway) eastbound to Knoxville. Take a right onto State Route 131 (Byington Beaver Ridge) to Karns High School. If there is an emergency at Y-12 requiring evacuation, Sector X reports to the shelter at:

204

Sector 7  

NLE Websites -- All DOE Office Websites (Extended Search)

Link to Sector 7 Users and Collaborators Link to Sector 7 Users and Collaborators This is an incomplete list of Partners from Universities and National Labs who use the facilities at Sector 7. If you wish to add a link to your institutional page, do no hesitate to contact Eric Dufresne at the APS. The APS XSD Atomic, Molecular and Optical Physics group Center for Molecular Movies at Copenhagen University Roy Clarke Group at the University of Michigan Rob Crowell Group at BNL Chris Elles's group at Kansas University Argonne's Transportation Technology R&D Center Fuel Injection and Spray Research Group Paul Evans's group web page at the University of Wisconsin Alexei Grigoriev's group at Univ. of Tulsa Eric Landahl's web page at DePaul University The SLAC Pulse Institute Ultrafast Materials Science group (D. Reis and A. Lindenberg)

205

The Commercial Energy Consumer: About Whom Are We Speaking?  

SciTech Connect

Who are commercial sector customers, and how do they make decisions about energy consumption and energy efficiency investment? The energy policy field has not done a thorough job of describing energy consumption in the commercial sector. First, the discussion of the commercial sector itself is dominated by discussion of large businesses/buildings. Second, discussion of this portion of the commercial sectors consumption behavior is driven primarily by theory, with very little field data collected on the way commercial sector decision-makers describe their own options, choices, and reasons for taking action. These limitations artificially constrain energy policy options. This paper reviews the extant literature on commercial sector energy consumption behavior and identifies gaps in our knowledge. In particular, it argues that the primary energy policy model of commercial sector energy consumption is a top-down model that uses macro-level investment data to make conclusions about commercial behavior. Missing from the discussion is a model of consumption behavior that builds up to a theoretical framework informed by the micro-level data provided by commercial decision-makers themselves. Such a bottom-up model could enhance the effectiveness of commercial sector energy policy. In particular, translation of some behavioral models from the residential sector to the commercial sector may offer new opportunities for policies to change commercial energy consumption behavior. Utility bill consumption feedback is considered as one example of a policy option that may be applicable to both the residential and small commercial sector.

Payne, Christopher

2006-05-12T23:59:59.000Z

206

Covered Product Category: Commercial Griddles | Department of...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

commercial kitchen equipment. In the Federal sector, these products are typically used in food service operations like cafeterias in GSA buildings, kitchens in penitentiaries, and...

207

Commercial Buildings Partnerships | Department of Energy  

Energy Savers (EERE)

cover key market sectors: retail, food service, commercial real estate, hospitality, health care, higher education, and state and local building owners and managers. Learn...

208

Sector 7  

NLE Websites -- All DOE Office Websites (Extended Search)

: News : News Sector 7 calendar of events. APS News APS Monthly meeting slides What's new at the APS Sector 7? 2013 news 2012 news 2011 news 2010 news 2009 news 2008 news 2007 news 2006 news 2005 news 2004 news 2003 news 2002 news 2001 news 2013 News from APS Sector 7 May 2013: Ruben Reininger et al. recently published an article on the optical design of the SPX Imaging and Microscopy beamline (SPXIM). The details can be found on the RSI web site here. A new web page is now available to guide 7-BM users. See the official 7-BM web page for more details. 2012 News from APS Sector 7 August 2012: Jin Wang gave a talk on August 29, 2012 entitled "The APS 7-BM is Open for Business, Officially!" at the August APS Monthly Operation Meeting. On August 1, Alan Kastengren joined the X-ray Science Division to operate the 7-BM beamline. Alan has been involved in the construction

209

Japan's Residential Energy Demand Outlook to 2030 Considering Energy Efficiency Standards "Top-Runner Approach"  

E-Print Network (OSTI)

ABORATORY Japans Residential Energy Demand Outlook to 2030o r n i a Japans Residential Energy Demand Outlook to 2030residential sector, where energy demand has grown vigorously

Komiyama, Ryoichi

2008-01-01T23:59:59.000Z

210

Home Network Technologies and Automating Demand Response  

SciTech Connect

Over the past several years, interest in large-scale control of peak energy demand and total consumption has increased. While motivated by a number of factors, this interest has primarily been spurred on the demand side by the increasing cost of energy and, on the supply side by the limited ability of utilities to build sufficient electricity generation capacity to meet unrestrained future demand. To address peak electricity use Demand Response (DR) systems are being proposed to motivate reductions in electricity use through the use of price incentives. DR systems are also be design to shift or curtail energy demand at critical times when the generation, transmission, and distribution systems (i.e. the 'grid') are threatened with instabilities. To be effectively deployed on a large-scale, these proposed DR systems need to be automated. Automation will require robust and efficient data communications infrastructures across geographically dispersed markets. The present availability of widespread Internet connectivity and inexpensive, reliable computing hardware combined with the growing confidence in the capabilities of distributed, application-level communications protocols suggests that now is the time for designing and deploying practical systems. Centralized computer systems that are capable of providing continuous signals to automate customers reduction of power demand, are known as Demand Response Automation Servers (DRAS). The deployment of prototype DRAS systems has already begun - with most initial deployments targeting large commercial and industrial (C & I) customers. An examination of the current overall energy consumption by economic sector shows that the C & I market is responsible for roughly half of all energy consumption in the US. On a per customer basis, large C & I customers clearly have the most to offer - and to gain - by participating in DR programs to reduce peak demand. And, by concentrating on a small number of relatively sophisticated energy consumers, it has been possible to improve the DR 'state of the art' with a manageable commitment of technical resources on both the utility and consumer side. Although numerous C & I DR applications of a DRAS infrastructure are still in either prototype or early production phases, these early attempts at automating DR have been notably successful for both utilities and C & I customers. Several factors have strongly contributed to this success and will be discussed below. These successes have motivated utilities and regulators to look closely at how DR programs can be expanded to encompass the remaining (roughly) half of the state's energy load - the light commercial and, in numerical terms, the more important residential customer market. This survey examines technical issues facing the implementation of automated DR in the residential environment. In particular, we will look at the potential role of home automation networks in implementing wide-scale DR systems that communicate directly to individual residences.

McParland, Charles

2009-12-01T23:59:59.000Z

211

Demand Response  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Assessment for Eastern Interconnection Youngsun Baek, Stanton W. Hadley, Rocio Martinez, Gbadebo Oladosu, Alexander M. Smith, Fran Li, Paul Leiby and Russell Lee Prepared for FY12 DOE-CERTS Transmission Reliability R&D Internal Program Review September 20, 2012 2 Managed by UT-Battelle for the U.S. Department of Energy DOE National Laboratory Studies Funded to Support FOA 63 * DOE set aside $20 million from transmission funding for national laboratory studies. * DOE identified four areas of interest: 1. Transmission Reliability 2. Demand Side Issues 3. Water and Energy 4. Other Topics * Argonne, NREL, and ORNL support for EIPC/SSC/EISPC and the EISPC Energy Zone is funded through Area 4. * Area 2 covers LBNL and NREL work in WECC and

212

Demand Response and Open Automated Demand Response  

E-Print Network (OSTI)

LBNL-3047E Demand Response and Open Automated Demand Response Opportunities for Data Centers G described in this report was coordinated by the Demand Response Research Center and funded by the California. Demand Response and Open Automated Demand Response Opportunities for Data Centers. California Energy

213

Capitalize on Existing Assets with Demand Response  

E-Print Network (OSTI)

Industrial facilities universally struggle with escalating energy costs. EnerNOC will demonstrate how commercial, industrial, and institutional end-users can capitalize on their existing assetsat no cost and no risk. Demand response, the voluntary...

Collins, J.

2008-01-01T23:59:59.000Z

214

D:\assumptions_2001\assumptions2002\currentassump\demand.vp  

Gasoline and Diesel Fuel Update (EIA)

2 2 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 Natural Gas Transmission and Distribution Module . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 Petroleum Market Module. . . . . . . . . . . . .

215

The Role of Demand Response Policy Forum Series  

E-Print Network (OSTI)

The Role of Demand Response Policy Forum Series Beyond 33 Percent: California's Renewable Future and Demand Response #12;Historic focus on Seasonal Grid Stress PG&E Demand Bid Test Day 0 2000 4000 6000 8000 Communication Latency #12;Bottom Up Review of End-Use Loads for Demand Response 5 Commercial Residential

California at Davis, University of

216

High Temperatures & Electricity Demand  

E-Print Network (OSTI)

High Temperatures & Electricity Demand An Assessment of Supply Adequacy in California Trends.......................................................................................................1 HIGH TEMPERATURES AND ELECTRICITY DEMAND.....................................................................................................................7 SECTION I: HIGH TEMPERATURES AND ELECTRICITY DEMAND ..........................9 BACKGROUND

217

Commercial | Open Energy Information  

Open Energy Info (EERE)

Commercial Commercial Jump to: navigation, search Click to return to AEO2011 page AEO2011 Data From AEO2011 report . Market Trends The AEO2011 Reference case shows minimal change in commercial energy use per capita between 2009 and 2035 (Figure 62). While growth in commercial floorspace (1.2 percent per year) is faster than growth in population (0.9 percent per year), energy use per capita remains relatively steady due to efficiency improvements in equipment and building shells. Efficiency standards and the addition of more efficient technologies account for a large share of the improvement in the efficiency of end-use services, notably in space cooling, refrigeration, and lighting.[1] Issues in Focus In 2009, the residential and commercial buildings sectors used 19.6

218

Sector 7  

NLE Websites -- All DOE Office Websites (Extended Search)

Research Programs Research Programs Sector 7's research program exploits the brilliance of the APS undulator radiation to perform material research studies with high spatial and temporal resolution. Microbeam studies are made using x-ray beam sizes on the submicron-scale, and time-resolved diffraction measurements are carried out with picosecond resolution. Sector 7's undulator line has experimental enclosures dedicated to both time-resolved and microbeam research. In one of these enclosures (7ID-D), a femtosecond laser facility is set up for ultrafast diffraction and spectroscopy studies in a pump-probe geometry. The 7ID-B hutch is a white beam capable station used for time-resolved phase-contrast imaging and beamline optics development. A third enclosure (7ID-C) is instrumented for high-resolution diffraction studies with a Huber 6-circle diffractometer. The instrument is ideal for thin-film and interface studies, including the recently developed Coherent Bragg Rod Analysis (COBRA) technique. The fs-laser has recently been delivered to 7ID-C so time-resolved laser pump-x-ray probe can be performed in 7ID-C since March 2007. An x-ray streak camera is also being commissioned in 7ID-C. 7ID-C is equipped for microdiffraction studies with a small Huber 4-cicle diffractometer used with zone-plate optics.

219

Commercial Building Profiles | OpenEI  

Open Energy Info (EERE)

Building Profiles Building Profiles Dataset Summary Description This dataset includes simulation results from a national-scale study of the commercial buildings sector. Electric load profiles contain the hour-by-hour demand for electricity for each building. Summary tables describe individual buildings and their overall annual energy performance. The study developed detailed EnergyPlus models for 4,820 different samples in 2003 CBECS. Simulation output is available for all and organized by CBECS's identification number in public use datasets. Three modeling scenarios are available: existing stock (with 2003 historical weather), stock as if rebuilt new (with typical weather), and the stock if rebuilt using maximum efficiency technology (with typical weather). The following reports describe how the dataset was developed:

220

Transportation Demand Management (TDM) Encyclopedia | Open Energy  

Open Energy Info (EERE)

Transportation Demand Management (TDM) Encyclopedia Transportation Demand Management (TDM) Encyclopedia Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Transportation Demand Management (TDM) Encyclopedia Agency/Company /Organization: Victoria Transport Policy Institute Sector: Energy Focus Area: Transportation Topics: Implementation Resource Type: Guide/manual Website: www.vtpi.org/tdm/tdm12.htm Cost: Free Language: English References: Victoria Transport Policy Institute[1] "The Online TDM Encyclopedia is the world's most comprehensive information resource concerning innovative transportation management strategies. It describes dozens of Transportation Demand Management (TDM) strategies and contains information on TDM planning, evaluation and implementation. It has thousands of hyperlinks that provide instant access

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Sector 7  

NLE Websites -- All DOE Office Websites (Extended Search)

User Information & Getting Beamtime User Information & Getting Beamtime There are three ways to request beamtime to perform an experiment on APS-7ID. One can request beam time as an APS General User, as an APS Partner User, or one can contact a staff member of Sector 7 to work collaboratively with them using a small amount of staff time to gather preliminary data. 80% of the available beamtime on 7ID is given to General and Partner Users, while 20% is reserved for staff use. Beam time is allocated and announced by email shortly before the start of an experimental run. In October 2002, beamline 7ID welcomed its first APS General Users (GU). To gain access to 7ID, General or Partner Users are required to submit a proposal to the APS GU Website by the specified deadline. Sucessful proposals will be scheduled for the next cycle following the proposal deadline. There are three proposal cycles per year with deadlines about two months before the start of a run. The deadlines and General User forms are available on the web through the APS General User Web site. Specific instructions for new General Users are available on the site. These instructions can be helpful also for new APS Users in general.

222

Sector 7  

NLE Websites -- All DOE Office Websites (Extended Search)

Overview and History Overview and History Sector 7 consists of two APS beamlines: 7-ID: an insertion device beamline based on an APS Type-A Undulator 7-BM: a bend magnet beam line for time-resolved radiography (currently being commissioned) Overview of 7-ID 7-ID comprises four large experimental enclosures designated A, B, C, and D. In 2004, a laser enclosure was also added (7ID-E). Enclosure 7-ID-A is the first optics enclosure and houses a polished Be window, an empty x-ray filter unit, a pair of white beam slits, a water-cooled double crystal diamond monochromator (Kohzu HLD4), and a P4 mode shutter. The beamline vertical offset is 35 mm. Enclosure 7-ID-B is a white-, or monochromatic-beam experimental enclosure. It is equipped with two precision motorized table for alignment and positioning of experimental equipment. This station is used for white-beam imaging or microdiffraction experiments.

223

Updated Buildings Sector Appliance and Equipment Costs and Efficiency  

U.S. Energy Information Administration (EIA) Indexed Site

Full report (4.1 mb) Full report (4.1 mb) Heating, cooling, & water heating equipment Appendix A - Technology Forecast Updates - Residential and Commercial Building Technologies - Reference Case (1.9 mb) Appendix B - Technology Forecast Updates - Residential and Commercial Building Technologies - Advanced Case (1.3 mb) Lighting and commercial ventilation & refrigeration equipment Appendix C - Technology Forecast Updates - Residential and Commercial Building Technologies - Reference Case (1.1 mb) Appendix D - Technology Forecast Updates - Residential and Commercial Building Technologies - Advanced Case (1.1 mb) Updated Buildings Sector Appliance and Equipment Costs and Efficiency Release date: August 7, 2013 Energy used in the residential and commercial sectors provides a wide range

224

Technology data characterizing space conditioning in commercial buildings: Application to end-use forecasting with COMMEND 4.0  

SciTech Connect

In the US, energy consumption is increasing most rapidly in the commercial sector. Consequently, the commercial sector is becoming an increasingly important target for state and federal energy policies and also for utility-sponsored demand side management (DSM) programs. The rapid growth in commercial-sector energy consumption also makes it important for analysts working on energy policy and DSM issues to have access to energy end-use forecasting models that include more detailed representations of energy-using technologies in the commercial sector. These new forecasting models disaggregate energy consumption not only by fuel type, end use, and building type, but also by specific technology. The disaggregation of space conditioning end uses in terms of specific technologies is complicated by several factors. First, the number of configurations of heating, ventilating, and air conditioning (HVAC) systems and heating and cooling plants is very large. Second, the properties of the building envelope are an integral part of a building`s HVAC energy consumption characteristics. Third, the characteristics of commercial buildings vary greatly by building type. The Electric Power Research Institute`s (EPRI`s) Commercial End-Use Planning System (COMMEND 4.0) and the associated data development presented in this report attempt to address the above complications and create a consistent forecasting framework. This report describes the process by which the authors collected space-conditioning technology data and then mapped it into the COMMEND 4.0 input format. The data are also generally applicable to other end-use forecasting frameworks for the commercial sector.

Sezgen, O.; Franconi, E.M.; Koomey, J.G.; Greenberg, S.E.; Afzal, A.; Shown, L.

1995-12-01T23:59:59.000Z

225

Trends in Commercial Buildings--Overview  

U.S. Energy Information Administration (EIA) Indexed Site

Home > Trends in Commercial Buildings > Commercial Home > Trends in Commercial Buildings > Commercial Buildings Energy Consumption Survey Survey Methodology Sampling Error, Standard Errors, and Relative Standard Errors The Commercial Buildings Energy Consumption Survey The commercial sector consists of business establishments and other organizations that provide services. The sector includes service businesses, such as retail and wholesale stores, hotels and motels, restaurants, and hospitals, as well as a wide range of buildings that would not be considered “commercial” in a traditional economic sense, such as public schools, correctional institutions, and religious and fraternal organizations. Excluded from the sector are the goods-producing industries: manufacturing, agriculture, mining, forestry and fisheries, and construction.

226

Overview of Commercial Buildings, 2003 - Trends  

U.S. Energy Information Administration (EIA) Indexed Site

Trends in Commercial Buildings Sector-1979 to 2003 Trends in Commercial Buildings Sector-1979 to 2003 Since the first CBECS in 1979, the commercial buildings sector has increased in size. From 1979 to 2003: The number of commercial buildings increased from 3.8 million to 4.9 million (Figure 3). The amount of commercial floorspace increased from 51 billion to 72 billion square feet (Figure 4). Total energy consumed increased from less than 5,900 trillion to more than 6,500 trillion Btu (Figure 5). Electricity and natural gas consumption, nearly equal in 1979, diverged; electricity increased to more than 3,500 trillion Btu by 2003 while natural gas declined to 2,100 trillion Btu. Figure 3. The number of commercial buildings increased from 1979 to 2003. Figure 3. The number of commercial buildings increased from 1979 to 2003.

227

Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation  

E-Print Network (OSTI)

Factors behind declining demand for oil include a shift fromfuel. In the industrial sector, oil demand will decrease dueto a falling demand for oil for chemical materials. In the

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

228

Energy End-Use Flow Maps for the Buildings Sector  

SciTech Connect

Graphical presentations of energy flows are widely used within the industrial sector to depict energy production and use. PNNL developed two energy flow maps, one each for the residential and commercial buildings sectors, in response to a need for a clear, concise, graphical depiction of the flows of energy from source to end-use in the building sector.

Belzer, David B.

2006-12-04T23:59:59.000Z

229

Comments About The Impact of Federal Technology Transfer on the Commercialization Process  

Science Journals Connector (OSTI)

Much has been said about technology transfer and little about technology commercialization. My comments will focus on the commercialization of public sector technology by industry.

James P. Wilhelm

1994-01-01T23:59:59.000Z

230

El Paso Electric Company - Small Business and Commercial Program |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Small Business and Commercial Program Small Business and Commercial Program El Paso Electric Company - Small Business and Commercial Program < Back Eligibility Commercial Fed. Government Industrial Local Government Nonprofit State Government Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Home Weatherization Insulation Design & Remodeling Solar Buying & Making Electricity Program Info State Texas Program Type Utility Rebate Program Rebate Amount Large Commercial Solutions: $240/peak kW demand reduction Small Commercial Solutions: $400/kW demand reduction Provider El Paso Electric Company El Paso Electric (EPE) offers several incentive programs targeting small business owners as well as larger commercial and industrial EPE customers.

231

Small Business Demand Response with Communicating Thermostats: SMUD's Summer Solutions Research Pilot  

SciTech Connect

This report documents a field study of 78 small commercial customers in the Sacramento Municipal Utility District service territory who volunteered for an integrated energy-efficiency/demand-response (EE-DR) program in the summer of 2008. The original objective for the pilot was to provide a better understanding of demand response issues in the small commercial sector. Early findings justified a focus on offering small businesses (1) help with the energy efficiency of their buildings in exchange for occasional load shed, and (2) a portfolio of options to meet the needs of a diverse customer sector. To meet these expressed needs, the research pilot provided on-site energy efficiency advice and offered participants several program options, including the choice of either a dynamic rate or monthly payment for air-conditioning setpoint control. An analysis of hourly load data indicates that the offices and retail stores in our sample provided significant demand response, while the restaurants did not. Thermostat data provides further evidence that restaurants attempted to precool and reduce AC service during event hours, but were unable to because their air-conditioning units were undersized. On a 100 F reference day, load impacts of all participants during events averaged 14%, while load impacts of office and retail buildings (excluding restaurants) reached 20%. Overall, pilot participants including restaurants had 2007-2008 summer energy savings of 20% and bill savings of 30%. About 80% of participants said that the program met or surpassed their expectations, and three-quarters said they would probably or definitely participate again without the $120 participation incentive. These results provide evidence that energy efficiency programs, dynamic rates and load control programs can be used concurrently and effectively in the small business sector, and that communicating thermostats are a reliable tool for providing air-conditioning load shed and enhancing the ability of customers on dynamic rates to respond to intermittent price events.

Herter, Karen; Wayland, Seth; Rasin, Josh

2009-09-25T23:59:59.000Z

232

Flathead Electric Cooperative - Commercial Lighting Rebate Program |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

You are here You are here Home » Flathead Electric Cooperative - Commercial Lighting Rebate Program Flathead Electric Cooperative - Commercial Lighting Rebate Program < Back Eligibility Agricultural Commercial Industrial Savings Category Appliances & Electronics Commercial Lighting Lighting Heating & Cooling Commercial Heating & Cooling Maximum Rebate 70% of project cost Program Info State Montana Program Type Utility Rebate Program Rebate Amount Retrofit Lighting: $3 - $400 per unit New Construction Lighting: $10 - $50 per unit Provider Flathead Electric Cooperative Flathead Electric Cooperative, in conjunction with Bonneville Power Administration, encourages energy efficiency in the commercial sector by providing a commercial lighting retro-fit rebate program and a new

233

Advanced Demand Responsive Lighting  

NLE Websites -- All DOE Office Websites (Extended Search)

Demand Demand Responsive Lighting Host: Francis Rubinstein Demand Response Research Center Technical Advisory Group Meeting August 31, 2007 10:30 AM - Noon Meeting Agenda * Introductions (10 minutes) * Main Presentation (~ 1 hour) * Questions, comments from panel (15 minutes) Project History * Lighting Scoping Study (completed January 2007) - Identified potential for energy and demand savings using demand responsive lighting systems - Importance of dimming - New wireless controls technologies * Advanced Demand Responsive Lighting (commenced March 2007) Objectives * Provide up-to-date information on the reliability, predictability of dimmable lighting as a demand resource under realistic operating load conditions * Identify potential negative impacts of DR lighting on lighting quality Potential of Demand Responsive Lighting Control

234

The Reality and Future Scenarios of Commercial Building Energy Consumption in China  

E-Print Network (OSTI)

the total primary energy consumption in 2000. Furthermore,The Commercial Primary Energy Consumption by Sector GDP

Zhou, Nan

2008-01-01T23:59:59.000Z

235

Technology data characterizing refrigeration in commercial buildings: Application to end-use forecasting with COMMEND 4.0  

SciTech Connect

In the United States, energy consumption is increasing most rapidly in the commercial sector. Consequently, the commercial sector is becoming an increasingly important target for state and federal energy policies and also for utility-sponsored demand side management (DSM) programs. The rapid growth in commercial-sector energy consumption also makes it important for analysts working on energy policy and DSM issues to have access to energy end-use forecasting models that include more detailed representations of energy-using technologies in the commercial sector. These new forecasting models disaggregate energy consumption not only by fuel type, end use, and building type, but also by specific technology. The disaggregation of the refrigeration end use in terms of specific technologies, however, is complicated by several factors. First, the number of configurations of refrigeration cases and systems is quite large. Also, energy use is a complex function of the refrigeration-case properties and the refrigeration-system properties. The Electric Power Research Institute`s (EPRI`s) Commercial End-Use Planning System (COMMEND 4.0) and the associated data development presented in this report attempt to address the above complications and create a consistent forecasting framework. Expanding end-use forecasting models so that they address individual technology options requires characterization of the present floorstock in terms of service requirements, energy technologies used, and cost-efficiency attributes of the energy technologies that consumers may choose for new buildings and retrofits. This report describes the process by which we collected refrigeration technology data. The data were generated for COMMEND 4.0 but are also generally applicable to other end-use forecasting frameworks for the commercial sector.

Sezgen, O.; Koomey, J.G.

1995-12-01T23:59:59.000Z

236

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

Transportation sector energy demand Transportation sector energy demand Growth in transportation energy consumption flat across projection figure data The transportation sector consumes 27.1 quadrillion Btu of energy in 2040, the same as the level of energy demand in 2011 (Figure 70). The projection of no growth in transportation energy demand differs markedly from the historical trend, which saw 1.1-percent average annual growth from 1975 to 2011 [126]. No growth in transportation energy demand is the result of declining energy use for LDVs, which offsets increased energy use for heavy-duty vehicles (HDVs), aircraft, marine, rail, and pipelines. Energy demand for LDVs declines from 16.1 quadrillion Btu in 2011 to 13.0 quadrillion Btu in 2040, in contrast to 0.9-percent average annual growth

237

The Commercial Energy Consumer: About Whom Are We Speaking? Christopher Payne, Lawrence Berkeley National Laboratory  

E-Print Network (OSTI)

. In particular, it argues that the primary energy policy model of commercial sector energy consumption is a top energy consumption and energy efficiency investment? The energy policy field has not done a thorough job of describing energy consumption in the commercial sector. First, the discussion of the commercial sector itself

238

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network (OSTI)

Addressing Energy Demand through Demand Response:both the avoided energy costs (and demand charges) as wellCoordination of Energy Efficiency and Demand Response,

Shen, Bo

2013-01-01T23:59:59.000Z

239

Energy demand and indoor climate of a traditional low-energy building in a hot climate.  

E-Print Network (OSTI)

?? Energy demand in the built environment is quite important. China holds a large population and the energy use in the building sector is about (more)

Li, Ang

2009-01-01T23:59:59.000Z

240

Model for Analysis of Energy Demand (MAED-2) | Open Energy Information  

Open Energy Info (EERE)

Analysis of Energy Demand (MAED-2) AgencyCompany Organization: International Atomic Energy Agency Sector: Energy Focus Area: Renewable Energy, Energy Efficiency Topics: Pathways...

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

LEAPs and Boundsan Energy Demand and Constraint Optimised Model of the Irish Energy System  

Science Journals Connector (OSTI)

This paper builds a model of energy demand and supply for Ireland with a focus on evaluating, and providing insights for, energy efficiency policies. The demand-side comprises sectoral sub-models, with a ... line...

Fionn Rogan; Caiman J. Cahill; Hannah E. Daly; Denis Dineen

2014-06-01T23:59:59.000Z

242

Commercial Building Energy Asset Score - 2014 BTO Peer Review...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Pacific Northwest National Laboratory One of the primary market barriers to enhancing energy efficiency in the commercial building sector is that building owners and investors...

243

Impact on Implementing Demand Side Management in Residential Sector  

Science Journals Connector (OSTI)

Residential electricity consumption in Malaysia increased at a rate of 14% per year between 1993 to 1997. In 1998, over 60% of population lived in urban areas. The growth of urban population at a rate of 4% per a...

H. A. Rahman; M. S. Majid; M. Y. Hassan

2001-01-01T23:59:59.000Z

244

DSM Electricity Savings Potential in the Buildings Sector in APP Countries  

E-Print Network (OSTI)

Demand-Side Management (DSM) in the Electricity Sector:peg/publications/dsm_electricity_sector_057A01.pdfreview_of_nashik_pilot_CFL_DSM_program_of_ MSEDCL_092A01.pdf

McNeil, MIchael

2011-01-01T23:59:59.000Z

245

Demand Response Valuation Frameworks Paper  

E-Print Network (OSTI)

benefits of Demand Side Management (DSM) are insufficient toefficiency, demand side management (DSM) cost effectivenessResearch Center Demand Side Management Demand Side Resources

Heffner, Grayson

2010-01-01T23:59:59.000Z

246

Energy Demand | Open Energy Information  

Open Energy Info (EERE)

Energy Demand Energy Demand Jump to: navigation, search Click to return to AEO2011 page AEO2011 Data Figure 55 From AEO2011 report . Market Trends Growth in energy use is linked to population growth through increases in housing, commercial floorspace, transportation, and goods and services. These changes affect not only the level of energy use, but also the mix of fuels used. Energy consumption per capita declined from 337 million Btu in 2007 to 308 million Btu in 2009, the lowest level since 1967. In the AEO2011 Reference case, energy use per capita increases slightly through 2013, as the economy recovers from the 2008-2009 economic downturn. After 2013, energy use per capita declines by 0.3 percent per year on average, to 293 million Btu in 2035, as higher efficiency standards for vehicles and

247

Public Sector New Construction and Retrofit Program | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Public Sector New Construction and Retrofit Program Public Sector New Construction and Retrofit Program Public Sector New Construction and Retrofit Program < Back Eligibility Fed. Government Institutional Local Government Schools State Government Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Sealing Your Home Cooling Construction Design & Remodeling Appliances & Electronics Ventilation Heat Pumps Commercial Lighting Lighting Manufacturing Insulation Water Heating Windows, Doors, & Skylights Maximum Rebate Bonus maximum: $100,000 All incentives: $2.50/sq. ft. (base plus bonus), $300,000, 75% of project costs, and 100% of incremental costs Program Info Funding Source Illinois Energy Efficiency Portfolio Standard (EEPS) surcharge for Ameren,

248

Energy Efficiency Financing for Public Sector Projects (California) |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Energy Efficiency Financing for Public Sector Projects (California) Energy Efficiency Financing for Public Sector Projects (California) Energy Efficiency Financing for Public Sector Projects (California) < Back Eligibility Institutional Local Government Schools Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Cooling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Manufacturing Buying & Making Electricity Energy Sources Solar Wind Maximum Rebate $3 million Program Info State California Program Type State Loan Program Provider California Energy Commission Cities, counties, public care institutions, public hospitals, public schools and colleges, and special districts in California can apply for low-interest loans from the California Energy Commission for energy

249

Assessment and Suggestions to Improve the Commercial Building Module of EIA-NEMS  

E-Print Network (OSTI)

use from the base case divided by the total change in lighting electricity use from the base case. VI LIST OF FIGURES Figure 1. Impact of lighting energy reduction on heating and cooling energy use in the large office building Figure 2. Impact...-South-Central) for the Commercial Sector Demand Module of NEMS. Units are in MBtu/sq.ft./year. E = Electricity NG = Natural Gas O = Other LA This was usually done by metering consumption before and after the retrofit and then analyzing the data to account for weather and changes...

O'Neal, D. L.; Reddy, T. A.; Sucher, B.

1996-01-01T23:59:59.000Z

250

Lincoln Electric System (Commercial and Industrial) - Sustainable Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Commercial and Industrial) - Sustainable Commercial and Industrial) - Sustainable Energy Program Lincoln Electric System (Commercial and Industrial) - Sustainable Energy Program < Back Eligibility Commercial Industrial Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Manufacturing Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Construction Heat Pumps Appliances & Electronics Commercial Lighting Lighting Maximum Rebate '''General Incentive Limits''' Commercial Industrial Lighting Retrofit: $100,000 per program year Commercial and Industrial Energy Efficiency: $100,000 per program year Program Info State Nebraska Program Type Utility Rebate Program Rebate Amount Commercial Industrial Lighting Retrofit Lighting Retrofit: $500/kW of peak-demand reduction

251

Mass Market Demand Response  

NLE Websites -- All DOE Office Websites (Extended Search)

Mass Market Demand Response Mass Market Demand Response Speaker(s): Karen Herter Date: July 24, 2002 - 12:00pm Location: Bldg. 90 Demand response programs are often quickly and poorly crafted in reaction to an energy crisis and disappear once the crisis subsides, ensuring that the electricity system will be unprepared when the next crisis hits. In this paper, we propose to eliminate the event-driven nature of demand response programs by considering demand responsiveness a component of the utility obligation to serve. As such, demand response can be required as a condition of service, and the offering of demand response rates becomes a requirement of utilities as an element of customer service. Using this foundation, we explore the costs and benefits of a smart thermostat-based demand response system capable of two types of programs: (1) a mandatory,

252

Demand Response Assessment INTRODUCTION  

E-Print Network (OSTI)

Demand Response Assessment INTRODUCTION This appendix provides more detail on some of the topics raised in Chapter 4, "Demand Response" of the body of the Plan. These topics include 1. The features, advantages and disadvantages of the main options for stimulating demand response (price mechanisms

253

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect

The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

2005-07-01T23:59:59.000Z

254

Open Automated Demand Response for Small Commerical Buildings  

SciTech Connect

This report characterizes small commercial buildings by market segments, systems and end-uses; develops a framework for identifying demand response (DR) enabling technologies and communication means; and reports on the design and development of a low-cost OpenADR enabling technology that delivers demand reductions as a percentage of the total predicted building peak electric demand. The results show that small offices, restaurants and retail buildings are the major contributors making up over one third of the small commercial peak demand. The majority of the small commercial buildings in California are located in southern inland areas and the central valley. Single-zone packaged units with manual and programmable thermostat controls make up the majority of heating ventilation and air conditioning (HVAC) systems for small commercial buildings with less than 200 kW peak electric demand. Fluorescent tubes with magnetic ballast and manual controls dominate this customer group's lighting systems. There are various ways, each with its pros and cons for a particular application, to communicate with these systems and three methods to enable automated DR in small commercial buildings using the Open Automated Demand Response (or OpenADR) communications infrastructure. Development of DR strategies must consider building characteristics, such as weather sensitivity and load variability, as well as system design (i.e. under-sizing, under-lighting, over-sizing, etc). Finally, field tests show that requesting demand reductions as a percentage of the total building predicted peak electric demand is feasible using the OpenADR infrastructure.

Dudley, June Han; Piette, Mary Ann; Koch, Ed; Hennage, Dan

2009-05-01T23:59:59.000Z

255

Electricity demand and supply projections for Indian economy  

Science Journals Connector (OSTI)

The present paper deals with an econometric model to forecast future electricity requirements for various sectors of Indian economy. Following the analysis of time series of sectoral GDPs, number of consumers in various sectors and price indices of electricity, a logarithmic linear regression model has been developed to forecast long-term demand of electricity up to the year 2045. Using the historical GDP growth in various sectors and the corresponding electricity consumption for the period 1971-2005, it is predicted that the total electricity demand will be 5000 billion kWh, against a supply of 1500 billion kWh in the year 2045. This may lead to a disastrous situation for the country unless drastic policy measures are taken to improve the supply side as well as to reduce demand.

Subhash Mallah; N.K. Bansal

2009-01-01T23:59:59.000Z

256

Demonstration and Results of Grid Integrated Technologies at the Demand to Grid Laboratory (D2G Lab): Phase I Operations Report  

E-Print Network (OSTI)

of Grid Integrated Technologies at the Demand to Gridof Grid Integrated Technologies at the Demand to GridCommercial Adoption of DR Technologies Related Activities

Ghatikar, Girish

2014-01-01T23:59:59.000Z

257

Commercialization of germanium based nanocrystal memory  

E-Print Network (OSTI)

This thesis explores the commercialization of germanium-based nanocrystal memories. Demand for smaller and faster electronics and embedded systems supports the development of high-density, low-power non-volatile electronic ...

Seow, Kian Chiew

2007-01-01T23:59:59.000Z

258

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

U.S. Energy Information Administration (EIA) Indexed Site

of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Public Service Co of NH","Investor-Owned",4600990,3030181,1391043,179766,0...

259

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

U.S. Energy Information Administration (EIA) Indexed Site

Colorado" ,"Entity","Type of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Public Service Co of Colorado","Investor-Owned",28786033,9192981,12...

260

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

U.S. Energy Information Administration (EIA) Indexed Site

Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"First Energy Solutions Corp.","Investor-Owned",18912606,3579076,8038708,7294822,0...

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

U.S. Energy Information Administration (EIA) Indexed Site

of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Entergy Arkansas Inc","Investor-Owned",21086842,7858971,6302526,6925231,114 2,"Southwestern...

262

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

U.S. Energy Information Administration (EIA) Indexed Site

of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Entergy Mississippi Inc","Investor-Owned",13272532,5550307,5322525,2399700,0 2,"Mississippi...

263

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

U.S. Energy Information Administration (EIA) Indexed Site

of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Green Mountain Power Corp","Investor-Owned",2477751,835602,896610,745539,0 2,"Central...

264

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

U.S. Energy Information Administration (EIA) Indexed Site

Connecticut" ,"Entity","Type of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Connecticut Light & Power Co","Investor-Owned",7162779,5456175,1...

265

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

U.S. Energy Information Administration (EIA) Indexed Site

Mexico" ,"Entity","Type of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Public Service Co of NM","Investor-Owned",9396214,3323544,4301354,177...

266

Market-based airport demand management : theory, model and applications  

E-Print Network (OSTI)

The ever-increasing demand for access to the world's major commercial airports combined with capacity constraints at many of these airports have led to increasing air traffic congestion. In particular, the scarcity of ...

Fan, Terence P

2004-01-01T23:59:59.000Z

267

Overview of Commercial Buildings, 2003 - Major Characteristics  

U.S. Energy Information Administration (EIA) Indexed Site

Major Characteristics of All Commercial Buildings in 2003 Major Characteristics of All Commercial Buildings in 2003 CBECS data are used to answer basic questions about the commercial buildings sector, such as: What types are there? How large are they? How old are they? and Where are they? Results from the 2003 CBECS show that: The commercial buildings sector is not dominated by a single building type. Office buildings, the most common type of commercial building, account for 17 percent of buildings, floorspace, and energy consumed. Commercial buildings range widely in size and smaller buildings are much more numerous than larger buildings. The smallest buildings (1,001 to 5,000 square feet) account for 53 percent of buildings, but consume only 11 percent of total energy. The largest buildings (those larger than 500,000 square feet)

268

Mass Market Demand Response and Variable Generation Integration Issues: A  

NLE Websites -- All DOE Office Websites (Extended Search)

Mass Market Demand Response and Variable Generation Integration Issues: A Mass Market Demand Response and Variable Generation Integration Issues: A Scoping Study Title Mass Market Demand Response and Variable Generation Integration Issues: A Scoping Study Publication Type Report Refereed Designation Unknown Year of Publication 2011 Authors Cappers, Peter, Andrew D. Mills, Charles A. Goldman, Ryan H. Wiser, and Joseph H. Eto Pagination 76 Date Published 10/2011 Publisher LBNL City Berkeley Keywords demand response, electricity markets and policy group, energy analysis and environmental impacts department, renewable generation integration, smart grid Abstract The penetration of renewable generation technology (e.g., wind, solar) is expected to dramatically increase in the United States during the coming years as many states are implementing policies to expand this sector through regulation and/or legislation. It is widely understood, though, that large scale deployment of certain renewable energy sources, namely wind and solar, poses system integration challenges because of its variable and often times unpredictable production characteristics (NERC, 2009). Strategies that rely on existing thermal generation resources and improved wind and solar energy production forecasts to manage this variability are currently employed by bulk power system operators, although a host of additional options are envisioned for the near future. Demand response (DR), when properly designed, could be a viable resource for managing many of the system balancing issues associated with integrating large-scale variable generation (VG) resources (NERC, 2009). However, demand-side options would need to compete against strategies already in use or contemplated for the future to integrate larger volumes of wind and solar generation resources. Proponents of smart grid (of which Advanced Metering Infrastructure or AMI is an integral component) assert that the technologies associated with this new investment can facilitate synergies and linkages between demand-side management and bulk power system needs. For example, smart grid proponents assert that system-wide implementation of advanced metering to mass market customers (i.e., residential and small commercial customers) as part of a smart grid deployment enables a significant increase in demand response capability.1 Specifically, the implementation of AMI allows electricity consumption information to be captured, stored and utilized at a highly granular level (e.g., 15-60 minute intervals in most cases) and provides an opportunity for utilities and public policymakers to more fully engage electricity customers in better managing their own usage through time-based rates and near-real time feedback to customers on their usage patterns while also potentially improving the management of the bulk power system. At present, development of time-based rates and demand response programs and the installation of variable generation resources are moving forward largely independent of each other in state and regional regulatory and policy forums and without much regard to the complementary nature of their operational characteristics.2 By 2020, the electric power sector is expected to add ~65 million advanced meters3 (which would reach ~47% of U.S. households) as part of smart grid and AMI4 deployments (IEE, 2010) and add ~40-80 GW of wind and solar capacity (EIA, 2010). Thus, in this scoping study, we focus on a key question posed by policymakers: what role can the smart grid (and its associated enabling technology) play over the next 5-10 years in helping to integrate greater penetration of variable generation resources by providing mass market customers with greater access to demand response opportunities? There is a well-established body of research that examines variable generation integration issues as well as demand response potential, but the nexus between the two has been somewhat neglected by the industry. The studies that have been conducted are informative concerning what could be accomplished with strong broad-based support for the expansion of demand response opportunities, but typically do not discuss the many barriers that stand in the way of reaching this potential. This study examines how demand side resources could be used to integrate wind and solar resources in the bulk power system, identifies barriers that currently limit the use of demand side strategies, and suggests several factors that should be considered in assessing alternative strategies that can be employed to integrate wind and solar resources in the bulk power system. It is difficult to properly gauge the role that DR could play in managing VG integration issues in the near future without acknowledging and understanding the entities and institutions that govern the interactions between variable generation and mass market customers (see Figure ES-1). Retail entities, like load-serving entities (LSE) and aggregators of retail customers (ARC), harness the demand response opportunities of mass market customers through tariffs (and DR programs) that are approved by state regulatory agencies or local governing entities (in the case of public power). The changes in electricity consumption induced by DR as well as the changes in electricity production due to the variable nature of wind and solar generation technologies is jointly managed by bulk power system operators. Bulk power system operators function under tariffs approved by the Federal Energy Regulatory Commission (FERC) and must operate their systems in accordance with rules set by regional reliability councils. These reliability rules are derived from enforceable standards that are set by the North American Electric Reliability Corporation (NERC) and approved by federal regulators. Thus, the role that DR can play in managing VG integration issues is contingent on what opportunities state and local regulators are willing to approve and how customers' response to the DR opportunities can be integrated into the bulk power system both electrically (due to reliability rules) and financially (due to market rules).

269

Demand response enabling technology development  

E-Print Network (OSTI)

Demand Response Enabling Technology Development Phase IEfficiency and Demand Response Programs for 2005/2006,Application to Demand Response Energy Pricing SenSys 2003,

2006-01-01T23:59:59.000Z

270

Demand Response Spinning Reserve Demonstration  

E-Print Network (OSTI)

F) Enhanced ACP Date RAA ACP Demand Response SpinningReserve Demonstration Demand Response Spinning Reservesupply spinning reserve. Demand Response Spinning Reserve

2007-01-01T23:59:59.000Z

271

Demand Response Programs for Oregon  

E-Print Network (OSTI)

Demand Response Programs for Oregon Utilities Public Utility Commission May 2003 Public Utility ....................................................................................................................... 1 Types of Demand Response Programs............................................................................ 3 Demand Response Programs in Oregon

272

Demand response enabling technology development  

E-Print Network (OSTI)

behavior in developing a demand response future. Phase_II_Demand Response Enabling Technology Development Phase IIYi Yuan The goal of the Demand Response Enabling Technology

Arens, Edward; Auslander, David; Huizenga, Charlie

2008-01-01T23:59:59.000Z

273

Automated Demand Response and Commissioning  

E-Print Network (OSTI)

Fully-Automated Demand Response Test in Large Facilities14in DR systems. Demand Response using HVAC in Commercialof Fully Automated Demand Response in Large Facilities

Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Bourassa, Norman

2005-01-01T23:59:59.000Z

274

Hawaii demand-side management resource assessment. Final report: DSM opportunity report  

SciTech Connect

The Hawaii Demand-Side Management Resource Assessment was the fourth of seven projects in the Hawaii Energy Strategy (HES) program. HES was designed by the Department of Business, Economic Development, and Tourism (DBEDT) to produce an integrated energy strategy for the State of Hawaii. The purpose of Project 4 was to develop a comprehensive assessment of Hawaii`s demand-side management (DSM) resources. To meet this objective, the project was divided into two phases. The first phase included development of a DSM technology database and the identification of Hawaii commercial building characteristics through on-site audits. These Phase 1 products were then used in Phase 2 to identify expected energy impacts from DSM measures in typical residential and commercial buildings in Hawaii. The building energy simulation model DOE-2.1E was utilized to identify the DSM energy impacts. More detailed information on the typical buildings and the DOE-2.1E modeling effort is available in Reference Volume 1, ``Building Prototype Analysis``. In addition to the DOE-2.1E analysis, estimates of residential and commercial sector gas and electric DSM potential for the four counties of Honolulu, Hawaii, Maui, and Kauai through 2014 were forecasted by the new DBEDT DSM Assessment Model. Results from DBEDTs energy forecasting model, ENERGY 2020, were linked with results from DOE-2.1E building energy simulation runs and estimates of DSM measure impacts, costs, lifetime, and anticipated market penetration rates in the DBEDT DSM Model. Through its algorithms, estimates of DSM potential for each forecast year were developed. Using the load shape information from the DOE-2.1E simulation runs, estimates of electric peak demand impacts were developed. 10 figs., 55 tabs.

NONE

1995-08-01T23:59:59.000Z

275

Commercial Performance  

NLE Websites -- All DOE Office Websites (Extended Search)

Commercial Performance Commercial Performance Objectives: To review the market potential for improvements in commercial building glazings, quantify the energy savings potentials, explore potential design solutions, and develop guidelines and tools for building designers so that systems are specified and used in an optimal manner. A special emphasis is placed on the daylighting performance of glazings in commercial buildings since lighting is the single largest energy end use and daylighting can improve both visual performance and the quality of the indoor space as well as saving energy. Technical Approach: This project has two major complementary elements. The first is the exploration and assessment of glazing performance in commercial buildings leading to development of design strategies that reduce unnecessary energy use. The final step is creating design guides and tools that make this design knowledge accessible to practitioners, typically carried out in partnership with others. Although the emphasis is energy impacts, e.g. annual energy use, the performance issues addressed in the guides and tools include all that impact the final glazing selection process, e.g. appearance, glare. The second element is an exploration of daylighting strategies for commercial buildings since lighting energy use is the major energy end use in most buildings. This work develops and evaluates new daylighting devices and designs, assesses performance in commercial buildings, and demonstrates system performance using test cells, test rooms and case study buildings. All energy-related aspects of the design solutions, as well as other critical performance issues, are addressed in this work. Results of this work are integrated into the guides and tools described above. Much of this work has been co-supported by utilities and has been carried on in conjunction with participants in an International Energy Agency Daylighting Task.

276

Opportunities, Barriers and Actions for Industrial Demand Response in California  

SciTech Connect

In 2006 the Demand Response Research Center (DRRC) formed an Industrial Demand Response Team to investigate opportunities and barriers to implementation of Automated Demand Response (Auto-DR) systems in California industries. Auto-DR is an open, interoperable communications and technology platform designed to: Provide customers with automated, electronic price and reliability signals; Provide customers with capability to automate customized DR strategies; Automate DR, providing utilities with dispatchable operational capability similar to conventional generation resources. This research began with a review of previous Auto-DR research on the commercial sector. Implementing Auto-DR in industry presents a number of challenges, both practical and perceived. Some of these include: the variation in loads and processes across and within sectors, resource-dependent loading patterns that are driven by outside factors such as customer orders or time-critical processing (e.g. tomato canning), the perceived lack of control inherent in the term 'Auto-DR', and aversion to risk, especially unscheduled downtime. While industry has demonstrated a willingness to temporarily provide large sheds and shifts to maintain grid reliability and be a good corporate citizen, the drivers for widespread Auto-DR will likely differ. Ultimately, most industrial facilities will balance the real and perceived risks associated with Auto-DR against the potential for economic gain through favorable pricing or incentives. Auto-DR, as with any ongoing industrial activity, will need to function effectively within market structures. The goal of the industrial research is to facilitate deployment of industrial Auto-DR that is economically attractive and technologically feasible. Automation will make DR: More visible by providing greater transparency through two-way end-to-end communication of DR signals from end-use customers; More repeatable, reliable, and persistent because the automated controls strategies that are 'hardened' and pre-programmed into facility's software and hardware; More affordable because automation can help reduce labor costs associated with manual DR strategies initiated by facility staff and can be used for long-term.

McKane, Aimee T.; Piette, Mary Ann; Faulkner, David; Ghatikar, Girish; Radspieler Jr., Anthony; Adesola, Bunmi; Murtishaw, Scott; Kiliccote, Sila

2008-01-31T23:59:59.000Z

277

DSM Electricity Savings Potential in the Buildings Sector in APP Countries  

SciTech Connect

The global economy has grown rapidly over the past decade with a commensurate growth in the demand for electricity services that has increased a country's vulnerability to energy supply disruptions. Increasing need of reliable and affordable electricity supply is a challenge which is before every Asia Pacific Partnership (APP) country. Collaboration between APP members has been extremely fruitful in identifying potential efficiency upgrades and implementing clean technology in the supply side of the power sector as well established the beginnings of collaboration. However, significantly more effort needs to be focused on demand side potential in each country. Demand side management or DSM in this case is a policy measure that promotes energy efficiency as an alternative to increasing electricity supply. It uses financial or other incentives to slow demand growth on condition that the incremental cost needed is less than the cost of increasing supply. Such DSM measures provide an alternative to building power supply capacity The type of financial incentives comprise of rebates (subsidies), tax exemptions, reduced interest loans, etc. Other approaches include the utilization of a cap and trade scheme to foster energy efficiency projects by creating a market where savings are valued. Under this scheme, greenhouse gas (GHG) emissions associated with the production of electricity are capped and electricity retailers are required to meet the target partially or entirely through energy efficiency activities. Implementation of DSM projects is very much in the early stages in several of the APP countries or localized to a regional part of the country. The purpose of this project is to review the different types of DSM programs experienced by APP countries and to estimate the overall future potential for cost-effective demand-side efficiency improvements in buildings sectors in the 7 APP countries through the year 2030. Overall, the savings potential is estimated to be 1.7 thousand TWh or 21percent of the 2030 projected base case electricity demand. Electricity savings potential ranges from a high of 38percent in India to a low of 9percent in Korea for the two sectors. Lighting, fans, and TV sets and lighting and refrigeration are the largest contributors to residential and commercial electricity savings respectively. This work presents a first estimates of the savings potential of DSM programs in APP countries. While the resulting estimates are based on detailed end-use data, it is worth keeping in mind that more work is needed to overcome limitation in data at this time of the project.

McNeil, MIchael; Letschert, Virginie; Shen, Bo; Sathaye, Jayant; de la Ru du Can, Stephane

2011-01-12T23:59:59.000Z

278

Demand Response In California  

Energy.gov (U.S. Department of Energy (DOE))

Presentation covers the demand response in California and is given at the FUPWG 2006 Fall meeting, held on November 1-2, 2006 in San Francisco, California.

279

Energy Demand Forecasting  

Science Journals Connector (OSTI)

This chapter presents alternative approaches used in forecasting energy demand and discusses their pros and cons. It... Chaps. 3 and 4 ...

S. C. Bhattacharyya

2011-01-01T23:59:59.000Z

280

Demand and Usage in Scotland Update Report to March 2008  

E-Print Network (OSTI)

Woodfuel Demand and Usage in Scotland Update Report to March 2008 #12;Woodfuel Use Update Woodfuel Demand and Usage in Scotland 2008 Contents: 1. The brief 2. Methodology 3. Results 3.1. Operational ­ May 2005" (unpublished report on existing and potential woodfuel usage in the commercial, industrial

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Demand Side Bidding. Final Report  

SciTech Connect

This document sets forth the final report for a financial assistance award for the National Association of Regulatory Utility Commissioners (NARUC) to enhance coordination between the building operators and power system operators in terms of demand-side responses to Location Based Marginal Pricing (LBMP). Potential benefits of this project include improved power system reliability, enhanced environmental quality, mitigation of high locational prices within congested areas, and the reduction of market barriers for demand-side market participants. NARUC, led by its Committee on Energy Resources and the Environment (ERE), actively works to promote the development and use of energy efficiency and clean distributive energy policies within the framework of a dynamic regulatory environment. Electric industry restructuring, energy shortages in California, and energy market transformation intensifies the need for reliable information and strategies regarding electric reliability policy and practice. NARUC promotes clean distributive generation and increased energy efficiency in the context of the energy sector restructuring process. NARUC, through ERE's Subcommittee on Energy Efficiency, strives to improve energy efficiency by creating working markets. Market transformation seeks opportunities where small amounts of investment can create sustainable markets for more efficient products, services, and design practices.

Spahn, Andrew

2003-12-31T23:59:59.000Z

282

Public Sector Electric Efficiency Programs | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Public Sector Electric Efficiency Programs Public Sector Electric Efficiency Programs Public Sector Electric Efficiency Programs < Back Eligibility Fed. Government Institutional Local Government Schools State Government Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Other Construction Heat Pumps Appliances & Electronics Commercial Lighting Lighting Manufacturing Water Heating Maximum Rebate $300,000 per location Total incentive may not exceed 75% of project cost (equipment + labor) or 100% of incremental measure cost Program Info Funding Source Illinois Energy Efficiency Portfolio Standard (EEPS) surcharge for ComEd, Ameren subsidiary customers Start Date 06/01/2008 State Illinois Program Type State Rebate Program Rebate Amount Standard Incentive Program: Varies by technology

283

Demand Management Institute (DMI) | Open Energy Information  

Open Energy Info (EERE)

Demand Management Institute (DMI) Demand Management Institute (DMI) Jump to: navigation, search Name Demand Management Institute (DMI) Address 35 Walnut Street Place Wellesley, Massachusetts Zip 02481 Sector Buildings Product Provides analysis for buildings on reducing energy use Website http://www.dmiinc.com/ Coordinates 42.3256508°, -71.2530294° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.3256508,"lon":-71.2530294,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

284

Sector 1 welcome  

NLE Websites -- All DOE Office Websites (Extended Search)

Welcome to Sector 1 of the Advanced Photon Source (APS) located at Argonne Welcome to Sector 1 of the Advanced Photon Source (APS) located at Argonne National Laboratory (ANL). The Sector 1 beamlines are operated by the Materials Physics & Engineering Group (MPE) of the APS X-ray Science Division (XSD). Sector 1 consists of the 1-ID and 1-BM beamlines, and 80% of the available beamtime is accessible to outside users through the General User program. The main programs pursued at Sector 1 are described below. 1-ID is dedicated to providing and using brilliant, high-energy x-ray beams (50-150 keV) for the following activities: Coupled high-energy small- and wide-angle scattering (HE-SAXS/WAXS) High-energy diffraction microscopy (HEDM) Sector 1 General Layout Stress/strain/texture studies Pair-distribution function (PDF) measurements

285

Buildings Sector Working Group  

Annual Energy Outlook 2012 (EIA)

heating, cooking, lighting, and refrigeration * Hurdle rates - Update using latest Johnson Controls reports regarding commercial investment decisions * ENERGY STAR buildings -...

286

Demand Response Opportunities in Industrial Refrigerated Warehouses in  

NLE Websites -- All DOE Office Websites (Extended Search)

Response Opportunities in Industrial Refrigerated Warehouses in Response Opportunities in Industrial Refrigerated Warehouses in California Title Demand Response Opportunities in Industrial Refrigerated Warehouses in California Publication Type Conference Paper LBNL Report Number LBNL-4837E Year of Publication 2011 Authors Goli, Sasank, Aimee T. McKane, and Daniel Olsen Conference Name 2011 ACEEE Summer Study on Energy Efficiency in Industry Date Published 08/2011 Conference Location Niagara Falls, NY Keywords market sectors, openadr, refrigerated warehouses Abstract Industrial refrigerated warehouses that implemented energy efficiency measures and have centralized control systems can be excellent candidates for Automated Demand Response (Auto-DR) due to equipment synergies, and receptivity of facility managers to strategies that control energy costs without disrupting facility operations. Auto-DR utilizes OpenADR protocol for continuous and open communication signals over internet, allowing facilities to automate their Demand Response (DR). Refrigerated warehouses were selected for research because: They have significant power demand especially during utility peak periods; most processes are not sensitive to short-term (2-4 hours) lower power and DR activities are often not disruptive to facility operations; the number of processes is limited and well understood; and past experience with some DR strategies successful in commercial buildings may apply to refrigerated warehouses. This paper presents an overview of the potential for load sheds and shifts from baseline electricity use in response to DR events, along with physical configurations and operating characteristics of refrigerated warehouses. Analysis of data from two case studies and nine facilities in Pacific Gas and Electric territory, confirmed the DR abilities inherent to refrigerated warehouses but showed significant variation across facilities. Further, while load from California's refrigerated warehouses in 2008 was 360 MW with estimated DR potential of 45-90 MW, actual achieved was much less due to low participation. Efforts to overcome barriers to increased participation may include, improved marketing and recruitment of potential DR sites, better alignment and emphasis on financial benefits of participation, and use of Auto-DR to increase consistency of participation.

287

Multiobjective demand side management solutions for utilities with peak demand deficit  

Science Journals Connector (OSTI)

Abstract Demand side management (DSM) is a growing concept around the world, particularly in urban India, recently due to presence of time of day (TOD) tariffs for the large commercial and industrial customers. Residential customers are not exposed to TOD tariff structure so far in India. This encourages commercial and industrial customers to schedule their flexible loads as per TOD tariff to extract maximum benefit of it and helps utilities to reduce their peak load demand and reshape the load curve. For efficient DSM implementation, this paper presents a multiobjective DSM solutions based on integer genetic algorithm to benefit both utilities and consumers. The proposed algorithm provides new directions on effective implementation of DSM techniques for Indian utilities. Simulations were carried out on Indian practical distribution system with large commercial and industrial loads. The simulation results of the proposed algorithm shows that the presented DSM technique comprehends reasonable savings to both utility and consumers simultaneously, while reducing the system peak.

Nandkishor Kinhekar; Narayana Prasad Padhy; Hari Om Gupta

2014-01-01T23:59:59.000Z

288

Dams and Energy Sectors Interdependency Study  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

[Type text] [Type text] Dams and Energy Sectors Interdependency Study September 2011 September 2011 Page 2 Abstract The U.S. Department of Energy (DOE) and the U.S. Department of Homeland Security (DHS) collaborated to examine the interdependencies between two critical infrastructure sectors - Dams and Energy. 1 The study highlights the importance of hydroelectric power generation, with a particular emphasis on the variability of weather patterns and competing demands for water which determine the water available for hydropower production. In recent years, various regions of the Nation suffered drought, impacting stakeholders in both the Dams and Energy Sectors. Droughts have the potential to affect the operation of dams and reduce hydropower production,

289

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are further subdivided into the energy- intensive manufacturing industries and non-energy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Demand Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Demand Module calculates energy consumption for the four Census Regions (see Figure 5) and disaggregates the energy consumption

290

RTP Customer Demand Response  

Science Journals Connector (OSTI)

This paper provides new evidence on customer demand response to hourly pricing from the largest and...real-time pricing...(RTP) program in the United States. RTP creates value by inducing load reductions at times...

Steven Braithwait; Michael OSheasy

2002-01-01T23:59:59.000Z

291

World Energy Demand  

Science Journals Connector (OSTI)

A reliable forecast of energy resources, energy consumption, and population in the future is a ... So, instead of absolute figures about future energy demand and sources worldwide, which would become...3.1 correl...

Giovanni Petrecca

2014-01-01T23:59:59.000Z

292

Alliance for Chinese Electric Vehicle Development and Commercialization |  

Open Energy Info (EERE)

Development and Commercialization Development and Commercialization Jump to: navigation, search Name Alliance for Chinese Electric Vehicle Development and Commercialization Place China Sector Vehicles Product China-based alliance announced in January 2010 for speeding up the commercialization and achieving mass adoption of Pure Electronic Vehicles (Pure EVs) in China. References Alliance for Chinese Electric Vehicle Development and Commercialization[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Alliance for Chinese Electric Vehicle Development and Commercialization is a company located in China . References ↑ "Alliance for Chinese Electric Vehicle Development and Commercialization"

293

Commercial Norms, Commercial Codes, and International Commercial Arbitration  

E-Print Network (OSTI)

The article defends the incorporation of commercial norms into commercial codes, through provisions such as statute 1-205 of the Uniform Commercial Code. It finds significant reliance on trade usages in international ...

Drahozal, Christopher R.

2000-01-01T23:59:59.000Z

294

Warm Winters Held Heating Oil Demand Down While Diesel Grew  

Gasoline and Diesel Fuel Update (EIA)

8 8 Notes: To understand the inventory situation, we must look the balance between demand and supply that drives inventories up or down. First consider demand. Most of the remaining charts deal with total distillate demand. Total distillate demand includes both diesel and heating oil. These are similar products physically, and prior to the low sulfur requirements for on-road diesel fuel, were used interchangeably. But even today, low sulfur diesel can be used in the heating oil market, but low sulfur requirements keep heating oil from being used in the on-road transportation sector. The seasonal increases and decreases in stocks stem from the seasonal demand in heating oil shown as the bottom red line. Heating oil demand increases by more than 50 percent from its low point to its high

295

EIA - International Energy Outlook 2009-Transportation Sector Energy  

Gasoline and Diesel Fuel Update (EIA)

Transportation Sector Energy Consumption Transportation Sector Energy Consumption International Energy Outlook 2009 Chapter 7 - Transportation Sector Energy Consumption In the IEO2009 reference case, transportation energy use in the non-OECD countries increases by an average of 2.7 percent per year from 2006 to 2030, as compared with an average of 0.3 percent per year for the OECD countries. Figure 69. OECD and Non-OECD Transportation Sector Liquids Consumption, 2006-2030 (quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. Figure data Over the next 25 years, world demand for liquids fuels is projected to increase more rapidly in the transportation sector than in any other end-use sector. In the IEO2009 reference case, the transportation share of

296

DemandDirect | Open Energy Information  

Open Energy Info (EERE)

DemandDirect DemandDirect Jump to: navigation, search Name DemandDirect Place Woodbury, Connecticut Zip 6798 Sector Efficiency, Renewable Energy, Services Product DemandDirect provides demand response, energy efficiency, load management, and distributed generation services to end-use electricity customers in order to reduce electricity consumption, improve grid reliability, and promote renewable energy. Coordinates 44.440496°, -72.414991° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.440496,"lon":-72.414991,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

297

U.S. Coal Supply and Demand  

Gasoline and Diesel Fuel Update (EIA)

U.S. Coal Supply and Demand > U.S. Coal Supply and Demand U.S. Coal Supply and Demand > U.S. Coal Supply and Demand U.S. Coal Supply and Demand 2010 Review (entire report also available in printer-friendly format ) Previous Editions 2009 Review 2008 Review 2007 Review 2006 Review 2005 Review 2004 Review 2003 Review 2002 Review 2001 Review 2000 Review 1999 Review Data for: 2010 Released: May 2011 Next Release Date: April 2012 Table 3. Electric Power Sector Net Generation, 2009-2010 (Million Kilowatthours) New England Coal 14,378 14,244 -0.9 Hydroelectric 7,759 6,861 -11.6 Natural Gas 48,007 54,680 13.9 Nuclear 36,231 38,361 5.9 Other (1) 9,186 9,063 -1.3 Total 115,559 123,210 6.6 Middle Atlantic Coal 121,873 129,935 6.6 Hydroelectric 28,793 26,463 -8.1 Natural Gas 89,808 104,341 16.2 Nuclear 155,140 152,469 -1.7

298

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network (OSTI)

shift in the short-run price elasticity of gasoline demand.A meta-analysis of the price elasticity of gasoline demand.2007. Consumer demand un- der price uncertainty: Empirical

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

299

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network (OSTI)

analysis of the demand for oil in the Middle East. EnergyEstimates elasticity of demand for crude oil, not gasoline.World crude oil and natural gas: a demand and supply model.

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

300

Demand and Price Uncertainty: Rational Habits in International Gasoline Demand  

E-Print Network (OSTI)

analysis of the demand for oil in the Middle East. EnergyEstimates elasticity of demand for crude oil, not gasoline.World crude oil and natural gas: a demand and supply model.

Scott, K. Rebecca

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

CPS Energy - New Commercial Construction Incentives | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

CPS Energy - New Commercial Construction Incentives CPS Energy - New Commercial Construction Incentives CPS Energy - New Commercial Construction Incentives < Back Eligibility Commercial Multi-Family Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Maximum Rebate 35% of eligible project costs or $250,000 per project Program Info Start Date 01/01/2010 State Texas Program Type Utility Rebate Program Rebate Amount Tier 1 Energy Incentive: $0.08/kWh Tier 1 Peak Demand Incentive: $125/kW Tier 2 Energy Incentive: $0.12/kWh Tier 2 Peak Demand Incentive: $150/kW Tier 3 Energy Incentive: $0.20/kWh Tier 3 Peak Demand Incentive: $200/kW Provider CPS Energy CPS Energy offers incentives for new commercial construction that is at

302

Miscellaneous Electricity Services in the Buildings Sector (released in AEO2007)  

Reports and Publications (EIA)

Residential and commercial electricity consumption for miscellaneous services has grown significantly in recent years and currently accounts for more electricity use than any single major end-use service in either sector (including space heating, space cooling, water heating, and lighting). In the residential sector, a proliferation of consumer electronics and information technology equipment has driven much of the growth. In the commercial sector, telecommunications and network equipment and new advances in medical imaging have contributed to recent growth in miscellaneous electricity use.

2007-01-01T23:59:59.000Z

303

Public Sector Energy Efficiency  

NLE Websites -- All DOE Office Websites (Extended Search)

Capitol dome Capitol dome Public Sector Energy Efficiency Research on sustainable federal operations supports the implementation of sustainable policies and practices in the public sector. This work serves as a bridge between the technology development of Department of Energy's National Laboratories and the operational needs of public sector. Research activities involve many aspects of integrating sustainability into buildings and government practices, including technical assistance for sustainable building design, operations, and maintenance; project financing for sustainable facilities; institutional change in support of sustainability policy goals; and procurement of sustainable products. All of those activities are supported by our work on program and project evaluation, which analyzes overall program effectiveness while ensuring

304

Changing Energy Demand Behavior: Potential of Demand-Side Management  

Science Journals Connector (OSTI)

There is a great theoretical potential to save resources by managing our demand for energy. However, demand-side management (DSM) programs targeting behavioral patterns of...

Dr. Sylvia Breukers; Dr. Ruth Mourik

2013-01-01T23:59:59.000Z

305

Table A5. Commercial sector indicators and consumption  

Gasoline and Diesel Fuel Update (EIA)

based on: U.S. Energy Information Administration (EIA), Monthly Energy Review, DOEEIA-0035(201309) (Washington, DC, September 2013). 2011 and 2012 degree days based on...

306

El Paso Electric - SCORE and Commercial Solutions | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

- SCORE and Commercial Solutions - SCORE and Commercial Solutions El Paso Electric - SCORE and Commercial Solutions < Back Eligibility Commercial Installer/Contractor Institutional Local Government Schools State Government Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Home Weatherization Construction Commercial Weatherization Design & Remodeling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Insulation Program Info State Texas Program Type Utility Rebate Program Rebate Amount SCORE Reduced Peak Electric Demand; $185/kW Provider CLEAResult Consulting, Inc. El Paso Electric offers a targeted incentive program for public institutions, local governments and higher education. The SCORE Program is designed to help municipalities, counties, public

307

Oklahoma Municipal Power Authority - Commercial and Industrial Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Oklahoma Municipal Power Authority - Commercial and Industrial Oklahoma Municipal Power Authority - Commercial and Industrial Energy Efficiency Program Oklahoma Municipal Power Authority - Commercial and Industrial Energy Efficiency Program < Back Eligibility Commercial Industrial Local Government Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Heat Pumps Heating Appliances & Electronics Commercial Lighting Lighting Manufacturing Maximum Rebate $100,000 Program Info Funding Source American Recovery and Reinvestment Act of 2009 State Oklahoma Program Type Utility Rebate Program Rebate Amount Matching Funds up to $100,000 Provider Oklahoma Municipal Power Authority The Oklahoma Municipal Power Authority (OMPA) offers the Demand and Energy Efficiency Program (DEEP) to eligible commercial, industrial, and municipal

308

Commercial Building Asset Rating Program  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

1 eere.energy.gov 1 eere.energy.gov Commercial Building Asset Rating Program August 23, 2011 12 p.m. ET, 9 a.m. PT Presenter: Cody Taylor PRE-DECISIONAL Information included in this document is for discussion purposes and does not constitute the final program design. FOR INFORMATION ONLY 2 eere.energy.gov Outline * Goals * Scope & schedule * Guiding principles * Program design issues - Metrics - Rating method - Rating scale - Opportunities for efficiency improvement - Quality assurance Please submit clarifying questions during today's webinar via the Q&A function of Live Meeting. 3 eere.energy.gov National Building Rating Program Goals * Facilitate cost-effective investment in energy efficiency and reduce energy use in the commercial building sector * Establish a national standard for voluntary commercial building asset rating

309

Price Responsive Demand in New York Wholesale Electricity Market using  

NLE Websites -- All DOE Office Websites (Extended Search)

Price Responsive Demand in New York Wholesale Electricity Market using Price Responsive Demand in New York Wholesale Electricity Market using OpenADR Title Price Responsive Demand in New York Wholesale Electricity Market using OpenADR Publication Type Report LBNL Report Number LBNL-5557E Year of Publication 2012 Authors Kim, Joyce Jihyun, and Sila Kiliccote Date Published 06/2012 Publisher LBNL/NYSERDA Keywords commercial, demand response, dynamic pricing, mandatory hourly pricing, open automated demand response, openadr, pilot studies & implementation, price responsive demand Abstract In New York State, the default electricity pricing for large customers is Mandatory Hourly Pricing (MHP), which is charged based on zonal day-ahead market price for energy. With MHP, retail customers can adjust their building load to an economically optimal level according to hourly electricity prices. Yet, many customers seek alternative pricing options such as fixed rates through retail access for their electricity supply. Open Automated Demand Response (OpenADR) is an XML (eXtensible Markup Language) based information exchange model that communicates price and reliability information. It allows customers to evaluate hourly prices and provide demand response in an automated fashion to minimize electricity costs. This document shows how OpenADR can support MHP and facilitate price responsive demand for large commercial customers in New York City.

310

Demand Response Valuation Frameworks Paper  

E-Print Network (OSTI)

No. ER06-615-000 CAISO Demand Response Resource User Guide -8 2.1. Demand Response Provides a Range of Benefits to8 2.2. Demand Response Benefits can be Quantified in Several

Heffner, Grayson

2010-01-01T23:59:59.000Z

311

Sector 6 Research Highlights  

NLE Websites -- All DOE Office Websites (Extended Search)

MM-Group Home MM-Group Home MMG Advisory Committees Beamlines 4-ID-C Soft Spectroscopy 4-ID-D Hard Spectroscopy 6-ID-B,C Mag. Scattering 6-ID-D HighE Scattering 29-ID IEX - ARPES,RSXS Getting Beamtime Sector Orientation Sector 4 Orientation Sector 6 Orientation Publications (4-ID) Publications (6-ID) Contact Us APS Ring Status Current APS Schedule Highlights of research on Sector 6 Teasing Out the Nature of Structural Instabilities in Ceramic Compounds Teasing Out the Nature of Structural Instabilities in Ceramic Compounds March 12, 2013 Researchers have used beamlines 6-ID-B at the APS and XmAS at the ESRF to probe the structure of the rare-earth magnetic material europium titanate. In a magnetic field, the optical properties of this system change quite dramatically, presenting hope of a strong magneto-electric material for potential use in new memory, processing, and sensor devices.

312

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 12 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS 27 data.

313

Demand Response In California  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Energy Efficiency & Energy Efficiency & Demand Response Programs Dian M. Grueneich, Commissioner Dian M. Grueneich, Commissioner California Public Utilities Commission California Public Utilities Commission FUPWG 2006 Fall Meeting November 2, 2006 Commissioner Dian M. Grueneich November 2, 2006 1 Highest Priority Resource Energy Efficiency is California's highest priority resource to: Meet energy needs in a low cost manner Aggressively reduce GHG emissions November 2, 2006 2 Commissioner Dian M. Grueneich November 2, 2006 3 http://www.cpuc.ca.gov/PUBLISHED/REPORT/51604.htm Commissioner Dian M. Grueneich November 2, 2006 4 Energy Action Plan II Loading order continued "Pursue all cost-effective energy efficiency, first." Strong demand response and advanced metering

314

On Demand Guarantees in Iran.  

E-Print Network (OSTI)

??On Demand Guarantees in Iran This thesis examines on demand guarantees in Iran concentrating on bid bonds and performance guarantees. The main guarantee types and (more)

Ahvenainen, Laura

2009-01-01T23:59:59.000Z

315

Opportunities for Automated Demand Response in Wastewater Treatment  

NLE Websites -- All DOE Office Websites (Extended Search)

Opportunities for Automated Demand Response in Wastewater Treatment Opportunities for Automated Demand Response in Wastewater Treatment Facilities in California - Southeast Water Pollution Control Plant Case Study Title Opportunities for Automated Demand Response in Wastewater Treatment Facilities in California - Southeast Water Pollution Control Plant Case Study Publication Type Report LBNL Report Number LBNL-6056E Year of Publication 2012 Authors Olsen, Daniel, Sasank Goli, David Faulkner, and Aimee T. McKane Date Published 12/2012 Publisher CEC/LBNL Keywords market sectors, technologies Abstract This report details a study into the demand response potential of a large wastewater treatment facility in San Francisco. Previous research had identified wastewater treatment facilities as good candidates for demand response and automated demand response, and this study was conducted to investigate facility attributes that are conducive to demand response or which hinder its implementation. One years' worth of operational data were collected from the facility's control system, submetered process equipment, utility electricity demand records, and governmental weather stations. These data were analyzed to determine factors which affected facility power demand and demand response capabilities.

316

title Automated Price and Demand Response Demonstration for Large Customers  

NLE Websites -- All DOE Office Websites (Extended Search)

Automated Price and Demand Response Demonstration for Large Customers Automated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR booktitle International Conference for Enhanced Building Operations ICEBO year month address Montreal Quebec abstract p class p1 Open Automated Demand Response OpenADR an XML based information exchange model is used to facilitate continuous price responsive operation and demand response participation for large commercial buildings in New York who are subject to the default day ahead hourly pricing We summarize the existing demand response programs in New York and discuss OpenADR communication prioritization of demand response signals and control methods Building energy simulation models are developed and field tests are conducted to evaluate continuous energy management

317

Energy Demand Staff Scientist  

E-Print Network (OSTI)

Energy Demand in China Lynn Price Staff Scientist February 2, 2010 #12;Founded in 1988 Focused on End-Use Energy Efficiency ~ 40 Current Projects in China Collaborations with ~50 Institutions in China Researcher #12;Talk OutlineTalk Outline · Overview · China's energy use and CO2 emission trends · Energy

Eisen, Michael

318

Energy Demand Modeling  

Science Journals Connector (OSTI)

From the end of World War II until the early 1970s there was a strong and steady increase in the demand for energy. The abundant supplies of fossil and other ... an actual fall in the real price of energy of abou...

S. L. Schwartz

1980-01-01T23:59:59.000Z

319

China's Coal: Demand, Constraints, and Externalities  

SciTech Connect

This study analyzes China's coal industry by focusing on four related areas. First, data are reviewed to identify the major drivers of historical and future coal demand. Second, resource constraints and transport bottlenecks are analyzed to evaluate demand and growth scenarios. The third area assesses the physical requirements of substituting coal demand growth with other primary energy forms. Finally, the study examines the carbon- and environmental implications of China's past and future coal consumption. There are three sections that address these areas by identifying particular characteristics of China's coal industry, quantifying factors driving demand, and analyzing supply scenarios: (1) reviews the range of Chinese and international estimates of remaining coal reserves and resources as well as key characteristics of China's coal industry including historical production, resource requirements, and prices; (2) quantifies the largest drivers of coal usage to produce a bottom-up reference projection of 2025 coal demand; and (3) analyzes coal supply constraints, substitution options, and environmental externalities. Finally, the last section presents conclusions on the role of coal in China's ongoing energy and economic development. China has been, is, and will continue to be a coal-powered economy. In 2007 Chinese coal production contained more energy than total Middle Eastern oil production. The rapid growth of coal demand after 2001 created supply strains and bottlenecks that raise questions about sustainability. Urbanization, heavy industrial growth, and increasing per-capita income are the primary interrelated drivers of rising coal usage. In 2007, the power sector, iron and steel, and cement production accounted for 66% of coal consumption. Power generation is becoming more efficient, but even extensive roll-out of the highest efficiency units would save only 14% of projected 2025 coal demand for the power sector. A new wedge of future coal consumption is likely to come from the burgeoning coal-liquefaction and chemicals industries. If coal to chemicals capacity reaches 70 million tonnes and coal-to-liquids capacity reaches 60 million tonnes, coal feedstock requirements would add an additional 450 million tonnes by 2025. Even with more efficient growth among these drivers, China's annual coal demand is expected to reach 3.9 to 4.3 billion tonnes by 2025. Central government support for nuclear and renewable energy has not reversed China's growing dependence on coal for primary energy. Substitution is a matter of scale: offsetting one year of recent coal demand growth of 200 million tonnes would require 107 billion cubic meters of natural gas (compared to 2007 growth of 13 BCM), 48 GW of nuclear (compared to 2007 growth of 2 GW), or 86 GW of hydropower capacity (compared to 2007 growth of 16 GW). Ongoing dependence on coal reduces China's ability to mitigate carbon dioxide emissions growth. If coal demand remains on a high growth path, carbon dioxide emissions from coal combustion alone would exceed total US energy-related carbon emissions by 2010. Within China's coal-dominated energy system, domestic transportation has emerged as the largest bottleneck for coal industry growth and is likely to remain a constraint to further expansion. China has a low proportion of high-quality reserves, but is producing its best coal first. Declining quality will further strain production and transport capacity. Furthermore, transporting coal to users has overloaded the train system and dramatically increased truck use, raising transportation oil demand. Growing international imports have helped to offset domestic transport bottlenecks. In the long term, import demand is likely to exceed 200 million tonnes by 2025, significantly impacting regional markets.

Aden, Nathaniel; Fridley, David; Zheng, Nina

2009-07-01T23:59:59.000Z

320

Improving the Energy Efficiency of Commercial Buildings | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Commercial Buildings Commercial Buildings Improving the Energy Efficiency of Commercial Buildings Engaging Industry Leaders to Deploy Energy Saving Tools, Technologies and Best Practices Learn More Engaging Industry Leaders to Deploy Energy Saving Tools, Technologies and Best Practices Learn More The Building Technologies Office (BTO) works with the commercial building industry to accelerate the uptake of energy efficiency technologies and techniques in both existing and new commercial buildings. By developing, demonstrating, and deploying cost-effective solutions, BTO strives to reduce energy consumption across the commercial building sector by at least 1,600 TBtu. Key Tools and Resources Use the guides, case studies, and other tools developed by the DOE

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

List of Commercial Refrigeration Equipment Incentives | Open Energy  

Open Energy Info (EERE)

Refrigeration Equipment Incentives Refrigeration Equipment Incentives Jump to: navigation, search The following contains the list of 103 Commercial Refrigeration Equipment Incentives. CSV (rows 1 - 103) Incentive Incentive Type Place Applicable Sector Eligible Technologies Active AEP Appalachian Power - Commercial and Industrial Rebate Programs (West Virginia) Utility Rebate Program West Virginia Commercial Industrial Central Air conditioners Chillers Custom/Others pending approval Heat pumps Lighting Lighting Controls/Sensors Motor VFDs Programmable Thermostats Commercial Refrigeration Equipment Ground Source Heat Pumps Yes AEP Ohio - Commercial New Construction Energy Efficiency Rebate Program (Ohio) Utility Rebate Program Ohio Commercial Industrial Local Government Municipal Utility

322

Hydrogen Demand and Resource Assessment Tool | Open Energy Information  

Open Energy Info (EERE)

Hydrogen Demand and Resource Assessment Tool Hydrogen Demand and Resource Assessment Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Hydrogen Demand and Resource Assessment Tool Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Hydrogen, Transportation Topics: Technology characterizations Resource Type: Dataset, Software/modeling tools User Interface: Website Website: maps.nrel.gov/ Web Application Link: maps.nrel.gov/hydra Cost: Free Language: English References: http://maps.nrel.gov/hydra Logo: Hydrogen Demand and Resource Assessment Tool Use HyDRA to view, download, and analyze hydrogen data spatially and dynamically. HyDRA provides access to hydrogen demand, resource, infrastructure, cost, production, and distribution data. A user account is

323

EIA - Assumptions to the Annual Energy Outlook 2010 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2010 Residential Demand Module Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" by appliance (or UEC-in million Btu per household per year). The projection process adds new housing units to the stock,

324

Assisting Mexico in Developing Energy Supply and Demand Projections | Open  

Open Energy Info (EERE)

Assisting Mexico in Developing Energy Supply and Demand Projections Assisting Mexico in Developing Energy Supply and Demand Projections Jump to: navigation, search Name Assisting Mexico in Developing Energy Supply and Demand Projections Agency/Company /Organization Argonne National Laboratory Sector Energy Topics GHG inventory, Background analysis Resource Type Software/modeling tools Website http://www.dis.anl.gov/news/Me Country Mexico UN Region Latin America and the Caribbean References Assisting Mexico in Developing Energy Supply and Demand Projections[1] "CEEESA and the team of experts from Mexico analyzed the country's entire energy supply and demand system using CEEESA's latest version of the popular ENPEP-BALANCE software. The team developed a system representation, a so-called energy network, using ENPEP's powerful graphical user

325

New and Underutilized Technology: Carbon Dioxide Demand Ventilation Control  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Carbon Dioxide Demand Ventilation Carbon Dioxide Demand Ventilation Control New and Underutilized Technology: Carbon Dioxide Demand Ventilation Control October 4, 2013 - 4:23pm Addthis The following information outlines key deployment considerations for carbon dioxide (CO2) demand ventilation control within the Federal sector. Benefits Demand ventilation control systems modulate ventilation levels based on current building occupancy, saving energy while still maintaining proper indoor air quality (IAQ). CO2 sensors are commonly used, but a multiple-parameter approach using total volatile organic compounds (TVOC), particulate matter (PM), formaldehyde, and relative humidity (RH) levels can also be used. CO2 sensors control the outside air damper to reduce the amount of outside air that needs to be conditioned and supplied to the building when

326

Energy technologies and their impact on demand  

SciTech Connect

Despite the uncertainties, energy demand forecasts must be made to guide government policies and public and private-sector capital investment programs. Three principles can be identified in considering long-term energy prospects. First energy demand will continue to grow, driven by population growth, economic development, and the current low per capita energy consumption in developing countries. Second, energy technology advancements alone will not solve the problem. Energy-efficient technologies, renewable resource technologies, and advanced electric power technologies will all play a major role but will not be able to keep up with the growth in world energy demand. Third, environmental concerns will limit the energy technology choices. Increasing concern for environmental protection around the world will restrict primarily large, centralized energy supply facilities. The conclusion is that energy system diversity is the only solution. The energy system must be planned with consideration of both supply and demand technologies, must not rely on a single source of energy, must take advantage of all available technologies that are specially suited to unique local conditions, must be built with long-term perspectives, and must be able to adapt to change.

Drucker, H.

1995-06-01T23:59:59.000Z

327

Regional Differences in Corn Ethanol Production: Profitability and Potential Water Demands  

E-Print Network (OSTI)

Through the use of a stochastic simulation model this project analyzes both the impacts of the expanding biofuels sector on water demand in selected regions of the United States and variations in the profitability of ethanol production due...

Higgins, Lindsey M.

2010-07-14T23:59:59.000Z

328

Program Strategies and Results for Californias Energy Efficiency and Demand Response Markets  

E-Print Network (OSTI)

Global Energy Partners provides a review of Californias strategic approach to energy efficiency and demand response implementation, with a focus on the industrial sector. The official role of the state, through the California Energy Commission (CEC...

Ehrhard, R.; Hamilton, G.

2008-01-01T23:59:59.000Z

329

Assumptions to the Annual Energy Outlook - Transportation Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumption to the Annual Energy Outlook Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, sport utility vehicles and vans), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger airplanes, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

330

EIA - Assumptions to the Annual Energy Outlook 2008 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2008 Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

331

EIA - Assumptions to the Annual Energy Outlook 2009 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2009 Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight, rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

332

Assessing the Control Systems Capacity for Demand Response in California  

NLE Websites -- All DOE Office Websites (Extended Search)

the Control Systems Capacity for Demand Response in California the Control Systems Capacity for Demand Response in California Industries Title Assessing the Control Systems Capacity for Demand Response in California Industries Publication Type Report LBNL Report Number LBNL-5319E Year of Publication 2012 Authors Ghatikar, Girish, Aimee T. McKane, Sasank Goli, Peter L. Therkelsen, and Daniel Olsen Date Published 01/2012 Publisher CEC/LBNL Keywords automated dr, controls and automation, demand response, dynamic pricing, industrial controls, market sectors, openadr Abstract California's electricity markets are moving toward dynamic pricing models, such as real-time pricing, within the next few years, which could have a significant impact on an industrial facility's cost of energy use during the times of peak use. Adequate controls and automated systems that provide industrial facility managers real-time energy use and cost information are necessary for successful implementation of a comprehensive electricity strategy; however, little is known about the current control capacity of California industries. To address this gap, Lawrence Berkeley National Laboratory, in close collaboration with California industrial trade associations, conducted a survey to determine the current state of controls technologies in California industries. This study identifies sectors that have the technical capability to implement Demand Response (DR) and Automated Demand Response (Auto-DR). In an effort to assist policy makers and industry in meeting the challenges of real-time pricing, facility operational and organizational factors were taken into consideration to generate recommendations on which sectors Demand Response efforts should be focused. Analysis of the survey responses showed that while the vast majority of industrial facilities have semi- or fully automated control systems, participation in Demand Response programs is still low due to perceived barriers. The results also showed that the facilities that use continuous processes are good Demand Response candidates. When comparing facilities participating in Demand Response to those not participating, several similarities and differences emerged. Demand Response-participating facilities and non-participating facilities had similar timings of peak energy use, production processes, and participation in energy audits. Though the survey sample was smaller than anticipated, the results seemed to support our preliminary assumptions. Demonstrations of Auto-Demand Response in industrial facilities with good control capabilities are needed to dispel perceived barriers to participation and to investigate industrial subsectors suggested of having inherent Demand Response potential.

333

EIA - International Energy Outlook 2008-Transportation Sector Energy  

Gasoline and Diesel Fuel Update (EIA)

Transportation Sector Energy Consumption Transportation Sector Energy Consumption International Energy Outlook 2008 Chapter 6 - Transportation Sector Energy Consumption In the IEO2008 reference case, transportation energy use in the non-OECD countries increases by an average of 3.0 percent per year from 2005 to 2030, as compared with an average of 0.7 percent per year for the OECD countries. Over the next 25 years, world demand for liquids fuels and other petroleum is expected to increase more rapidly in the transportation sector than in any other end-use sector. In the IEO2008 reference case, the transportation share of total liquids consumption increases from 52 percent in 2005 to 58 percent in 2030. Much of the growth in transportation energy use is projected for the non-OECD nations, where many rapidly expanding economies

334

Utility Sector Leaders Make Firm Commitment to Energy Efficiency |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Utility Sector Leaders Make Firm Commitment to Energy Efficiency Utility Sector Leaders Make Firm Commitment to Energy Efficiency Utility Sector Leaders Make Firm Commitment to Energy Efficiency Utility Sector Leaders Make Firm Commitment to Energy Efficiency: Press Release, July 31, 2006 announcing an energy efficiency action plan. More than 80 energy, environmental and other organizations announced commitments and public statements in support of the National Action Plan for Energy Efficiency (NAPEE), which provides energy consumers and providers information on policies and techniques to save money as well as protect the environment. Utility Sector Leaders Make Firm Commitment to Energy Efficiency More Documents & Publications Chapter 3: Demand-Side Resources US - Brazil Binational Energy Working Group Joint Action Plan

335

Commercialization of sustainable energy technologies  

Science Journals Connector (OSTI)

Commercialization efforts to diffuse sustainable energy technologies (SETs11The \\{SETs\\} can be viewed as a portfolio of technologies, which are expected to use renewable energy resources as input to produce modern energy carriers. ) have so far remained as the biggest challenge in the field of renewable energy and energy efficiency. Limited success of diffusion through government driven pathways urges the need for market based approaches. This paper reviews the existing state of commercialization of \\{SETs\\} in the backdrop of the basic theory of technology diffusion. The different \\{SETs\\} in India are positioned in the technology diffusion map to reflect their slow state of commercialization. The dynamics of SET market is analysed to identify the issues, barriers and stakeholders in the process of SET commercialization. By upgrading the potential adopters to techno-entrepreneurs, the study presents the mechanisms for adopting a private sector driven business model approach for successful diffusion of SETs. This is expected to integrate the processes of market transformation and entrepreneurship development with innovative regulatory, marketing, financing, incentive and delivery mechanisms leading to SET commercialization.

P. Balachandra; Hippu Salk Kristle Nathan; B. Sudhakara Reddy

2010-01-01T23:59:59.000Z

336

City of San Jose - Private Sector Green Building Policy | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Jose - Private Sector Green Building Policy Jose - Private Sector Green Building Policy City of San Jose - Private Sector Green Building Policy < Back Eligibility Commercial Industrial Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Program Info State California Program Type Building Energy Code Provider City of San Jose In October 2008, the City of San Jose enacted the Private Sector Green Building Policy (Policy No. 6-32). The policy was adopted in Ordinance No. 28622 in June, 2009. All new buildings must meet certain green building requirements in order to receive a building permit. Requirements are dependent on the size and type of the project. * Tier 1 Commercial Projects include commercial industrial projects

337

The Role of Demand Response in Default Service Pricing  

SciTech Connect

In designing default service for competitive retail markets, demand response has been an afterthought at best. But that may be changing, as states that initiated customer choice in the past five to seven years reach an important juncture in retail market design and consider an RTP-type default service for large commercial and industrial customers. The authors describe the experience to date with RTP as a default service, focusing on its role as an instrument for cultivating price-responsive demand. (author)

Barbose, Galen; Goldman, Charles; Neenan, Bernie

2006-04-15T23:59:59.000Z

338

EIA - Annual Energy Outlook 2008 - Natural Gas Demand  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Demand Natural Gas Demand Annual Energy Outlook 2008 with Projections to 2030 Natural Gas Demand Figure 72. Natural gas consumption by sector, 1990-2030 (trillion cubic feet). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 73. Total natural gas consumption, 1990-2030 (trillion cubic feet). Need help, contact the National Energy Information Center at 202-586-8800. figure data Fastest Increase in Natural Gas Use Is Expected for the Buildings Sectors In the reference case, total natural gas consumption increases from 21.7 trillion cubic feet in 2006 to a peak value of 23.8 trillion cubic feet in 2016, followed by a decline to 22.7 trillion cubic feet in 2030. The natural gas share of total energy consumption drops from 22 percent in 2006

339

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 51 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are further subdivided into the energy- intensive manufacturing industries and nonenergy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Module calculates

340

New England Gas Company - Residential and Commercial Energy Efficiency  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

New England Gas Company - Residential and Commercial Energy New England Gas Company - Residential and Commercial Energy Efficiency Rebate Programs New England Gas Company - Residential and Commercial Energy Efficiency Rebate Programs < Back Eligibility Commercial Fed. Government Local Government Nonprofit Residential State Government Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Heat Pumps Appliances & Electronics Water Heating Program Info State Massachusetts Program Type Utility Rebate Program Rebate Amount Residential Furnace: $300 - $450 Boilers: $1000 - $1500 Combined High Efficiency Boiler/Water Heater: $1,200 Heat Recovery Ventilator: $500 High Efficiency Indirect Water Heater: $400 Condensing Gas Water Heater: $500 High Efficiency On-Demand, Tankless Water Heater: $500 - $800

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Property:Incentive/ImplSector | Open Energy Information  

Open Energy Info (EERE)

ImplSector ImplSector Jump to: navigation, search Property Name Incentive/ImplSector Property Type String Description Implementing Sector. Pages using the property "Incentive/ImplSector" Showing 25 pages using this property. (previous 25) (next 25) 2 2003 Climate Change Fuel Cell Buy-Down Program (Federal) + Federal + 3 30% Business Tax Credit for Solar (Vermont) + State/Territory + 4 401 Certification (Vermont) + State/Province + A AEP (Central and North) - CitySmart Program (Texas) + Utility + AEP (Central and North) - Residential Energy Efficiency Programs (Texas) + Utility + AEP (Central and SWEPCO) - Coolsaver A/C Tune Up (Texas) + Utility + AEP (Central, North and SWEPCO) - Commercial Solutions Program (Texas) + Utility + AEP (SWEPCO) - Residential Energy Efficiency Programs (Texas) + Utility +

342

The role of private participation in enhancing the Indian transport sector  

E-Print Network (OSTI)

The Indian transport sector, one of the largest transport networks in the world, faces some serious issues. These may be identified as follows: * Unmet demand for service and infrastructure * Conflicting responsibilities ...

Sharma, Nand, 1979-

2004-01-01T23:59:59.000Z

343

By Sector, 2010 Nonprofit /  

E-Print Network (OSTI)

% West USA 46% By Region, 2010 Consul9ng 9% Environment/Energy 7% Finance/Investment Banking 4Public 38% Private 44% By Sector, 2010 Nonprofit / Mul9lateral 18% Asia 32% East USA 22 4% Manufacturing 3% Market Research 4% Media 3% Other 6% Technology 12% Think Tank 2

Tsien, Roger Y.

344

Making Africa's Power Sector Sustainable: An Analysis of Power Sector  

Open Energy Info (EERE)

Making Africa's Power Sector Sustainable: An Analysis of Power Sector Making Africa's Power Sector Sustainable: An Analysis of Power Sector Reforms in Africa Jump to: navigation, search Tool Summary Name: Making Africa's Power Sector Sustainable: An Analysis of Power Sector Reforms in Africa Agency/Company /Organization: United Nations Environment Programme, United Nations Economic Commission for Africa Sector: Energy Topics: Market analysis, Policies/deployment programs, Co-benefits assessment, - Energy Access, - Environmental and Biodiversity Resource Type: Guide/manual, Lessons learned/best practices Website: www.uneca.org/eca_programmes/nrid/pubs/powersectorreport.pdf UN Region: Eastern Africa References: Making Africa's Power Sector Sustainable: An Analysis of Power Sector Reforms in Africa[1] Overview "This study assesses the socio-economic and environmental impacts of power

345

1992 Commercial Buildings Characteristics -- Overview/Executive Summary  

U.S. Energy Information Administration (EIA) Indexed Site

Overview Overview Overview Percent of Buildings and Floorspace by Census Region, 1992 Percent of Buildings and Floorspace By Census Region divider line Executive Summary Commercial Buildings Characteristics 1992 presents statistics about the number, type, and size of commercial buildings in the United States as well as their energy-related characteristics. These data are collected in the Commercial Buildings Energy Consumption Survey (CBECS), a national survey of buildings in the commercial sector. The 1992 CBECS is the fifth in a series conducted since 1979 by the Energy Information Administration. Approximately 6,600 commercial buildings were surveyed, representing the characteristics and energy consumption of 4.8 million commercial buildings and 67.9 billion square feet of commercial floorspace nationwide. Overall, the amount of commercial floorspace in the United States increased an average of 2.4 percent annually between 1989 and 1992, while the number of commercial buildings increased an average of 2.0 percent annually.

346

Best Management Practice: Commercial Kitchen Equipment | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Best Management Practice: Commercial Kitchen Equipment Best Management Practice: Commercial Kitchen Equipment Best Management Practice: Commercial Kitchen Equipment October 8, 2013 - 9:42am Addthis Commercial kitchen equipment represents a large set of water users in the non-residential sector. Water efficiency for commercial kitchen equipment is especially important because high volume applications typically use mostly hot water. Ensuring commercial kitchen equipment uses water efficiently affords both significant water and energy savings. Water-using commercial kitchen equipment include pre-rinse spray valves, wash tanks and sinks, commercial dishwashers, food steamers, steam kettles, commercial ice makers, and combination ovens (combination oven/steamer). Operation and Maintenance To maintain water efficiency in operations and maintenance, Federal

347

Xcel Energy- Commercial and Industrial Standard Offer Program  

Energy.gov (U.S. Department of Energy (DOE))

Xcel Energy Large Commercial and Industrial Standard Offer Program (SOP) pays incentives to businesses for retrofit and new construction projects that save energy in peak summer demand periods and...

348

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

Industrial sector energy demand Industrial sector energy demand Growth in industrial energy consumption is slower than growth in shipments figure data Despite a 76-percent increase in industrial shipments, industrial delivered energy consumption increases by only 19 percent from 2011 to 2040 in the AEO2013 Reference case. The continued decline in energy intensity of the industrial sector is explained in part by a shift in the share of shipments from energy-intensive manufacturing industries (bulk chemicals, petroleum refineries, paper products, iron and steel, food products, aluminum, cement and lime, and glass) to other, less energy-intensive industries, such as plastics, computers, and transportation equipment. Also, the decline in energy intensity for the less energy-intensive industries is almost twice

349

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

Market Trends - Industrial sector energy demand Market Trends - Industrial sector energy demand Growth in industrial energy consumption is slower than growth in shipments figure data Despite a 76-percent increase in industrial shipments, industrial delivered energy consumption increases by only 19 percent from 2011 to 2040 in the AEO2013 Reference case. The continued decline in energy intensity of the industrial sector is explained in part by a shift in the share of shipments from energy-intensive manufacturing industries (bulk chemicals, petroleum refineries, paper products, iron and steel, food products, aluminum, cement and lime, and glass) to other, less energy-intensive industries, such as plastics, computers, and transportation equipment. Also, the decline in energy intensity for the less energy-intensive industries is almost twice

350

Agricultural sector impacts of making ethanol from grain  

SciTech Connect

This report presents the results of a model of the effects on the agricultural sector of producing ethanol from corn in the United States between 1979 and 1983. The model is aggregated at the national level, and results are given for all of the major food and feed crops, ethanol joint products, farm income, government payment, and agricultural exports. A stochastic simulation was performed to ascertain the impacts of yield and demand variations on aggregate performance figures. Results indicate minimal impacts on the agricultural sector for production levels of less than 1 billion gallons of ethanol per year. For higher production levels, corn prices will rise sharply, the agricultural sector will be more vulnerable to variations in yields and demands, and joint-product values will fall. Possibilities for ameliorating such effects are discussed, and such concepts as net energy and the biomass refinery are explored.

Hertzmark, D.; Ray, D.; Parvin, G.

1980-03-01T23:59:59.000Z

351

Modeling, Analysis, and Control of Demand Response Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Modeling, Analysis, and Control of Demand Response Resources Modeling, Analysis, and Control of Demand Response Resources Speaker(s): Johanna Mathieu Date: April 27, 2012 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Sila Kiliccote While the traditional goal of an electric power system has been to control supply to fulfill demand, the demand-side can play an active role in power systems via Demand Response (DR). Recent DR programs have focused on peak load reduction in commercial buildings and industrial facilities (C&I facilities). We present a regression-based baseline model, which allows us to quantify DR performance. We use this baseline model to understand the performance of C&I facilities participating in an automated dynamic pricing DR program in California. In this program, facilities are

352

Advanced Vehicle Electrification and Transportation Sector Electrifica...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

More Documents & Publications Advanced Vehicle Electrification and Transportation Sector Electrification Advanced Vehicle Electrification & Transportation Sector...

353

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

Residential sector energy demand Residential sector energy demand Residential energy intensity continues to decline across a range of technology assumptions figure data In the AEO2013 Reference case, the energy intensity of residential demand, defined as annual energy use per household, declines from 97.2 million Btu in 2011 to 75.5 million Btu in 2040 (Figure 55). The projected 22-percent decrease in intensity occurs along with a 32-percent increase in the number of homes. Residential energy intensity is affected by various factors-for example, population shifts to warmer and drier climates, improvements in the efficiency of building construction and equipment stock, and the attitudes and behavior of residents toward energy savings. Three alternative cases show the effects of different technology

354

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

Residential sector energy demand Residential sector energy demand Residential energy intensity continues to decline across a range of technology assumptions figure data In the AEO2013 Reference case, the energy intensity of residential demand, defined as annual energy use per household, declines from 97.2 million Btu in 2011 to 75.5 million Btu in 2040 (Figure 55). The projected 22-percent decrease in intensity occurs along with a 32-percent increase in the number of homes. Residential energy intensity is affected by various factors-for example, population shifts to warmer and drier climates, improvements in the efficiency of building construction and equipment stock, and the attitudes and behavior of residents toward energy savings. Three alternative cases show the effects of different technology

355

New and Underutilized Technology: Commercial Ground Source Heat Pumps |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Commercial Ground Source Heat Commercial Ground Source Heat Pumps New and Underutilized Technology: Commercial Ground Source Heat Pumps October 8, 2013 - 2:59pm Addthis The following information outlines key deployment considerations for commercial ground source heat pumps within the Federal sector. Benefits Commercial ground source heat pumps are ground source heat pump with loops that feed multiple packaged heat pumps and a single ground source water loop. Unit capacity is typically 1-10 tons and may be utilized in an array of multiple units to serve a large load. Application Condensing boilers are appropriate for housing, service, office, and research and development applications. Key Factors for Deployment FEMP has made great progress with commercial ground source heat pump technology deployment within the Federal sector. Primary barriers deal with

356

Demand Response | Department of Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

Demand Response Demand Response Demand Response Demand Response Demand response provides an opportunity for consumers to play a significant role in the operation of the electric grid by reducing or shifting their electricity usage during peak periods in response to time-based rates or other forms of financial incentives. Demand response programs are being used by electric system planners and operators as resource options for balancing supply and demand. Such programs can lower the cost of electricity in wholesale markets, and in turn, lead to lower retail rates. Methods of engaging customers in demand response efforts include offering time-based rates such as time-of-use pricing, critical peak pricing, variable peak pricing, real time pricing, and critical peak rebates. It also includes direct load control programs which provide the

357

Understanding and Analysing Energy Demand  

Science Journals Connector (OSTI)

This chapter introduces the concept of energy demand using basic micro-economics and presents the three-stage decision making process of energy demand. It then provides a set of simple ... (such as price and inco...

Subhes C. Bhattacharyya

2011-01-01T23:59:59.000Z

358

Progress towards Managing Residential Electricity Demand: Impacts of Standards and Labeling for Refrigerators and Air Conditioners in India  

SciTech Connect

The development of Energy Efficiency Standards and Labeling (EES&L) began in earnest in India in 2001 with the Energy Conservation Act and the establishment of the Indian Bureau of Energy Efficiency (BEE). The first main residential appliance to be targeted was refrigerators, soon to be followed by room air conditioners. Both of these appliances are of critical importance to India's residential electricity demand. About 15percent of Indian households own a refrigerator, and sales total about 4 million per year, but are growing. At the same time, the Indian refrigerator market has seen a strong trend towards larger and more consumptive frost-free units. Room air conditioners in India have traditionally been sold to commercial sector customers, but an increasing number are going to the residential sector. Room air conditioner sales growth in India peaked in the last few years at 20percent per year. In this paper, we perform an engineering-based analysis using data specific to Indian appliances. We evaluate costs and benefits to residential and commercial sector consumers from increased equipment costs and utility bill savings. The analysis finds that, while the BEE scheme presents net benefits to consumers, there remain opportunities for efficiency improvement that would optimize consumer benefits, according to Life Cycle Cost analysis. Due to the large and growing market for refrigerators and air conditioners in India, we forecast large impacts from the standards and labeling program as scheduled. By 2030, this program, if fully implemented would reduce Indian residential electricity consumption by 55 TWh. Overall savings through 2030 totals 385 TWh. Finally, while efficiency levels have been set for several years for refrigerators, labels and MEPS for these products remain voluntary. We therefore consider the negative impact of this delay of implementation to energy and financial savings achievable by 2030.

McNeil, Michael A.; Iyer, Maithili

2009-05-30T23:59:59.000Z

359

Marketing Demand-Side Management  

E-Print Network (OSTI)

they the only game in town, enjoying a captive market. Demand-side management (DSM) again surfaced as a method for increasing customer value and meeting these competitive challenges. In designing and implementing demand-side management (DSM) programs we... have learned a great deal about what it takes to market and sell DSM. This paper focuses on how to successfully market demand-side management. KEY STEPS TO MARKETING DEMAND-SIDE MANAGEMENT Management Commitment The first key element in marketing...

O'Neill, M. L.

1988-01-01T23:59:59.000Z

360

Demand Charges | Open Energy Information  

Open Energy Info (EERE)

Charges Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleDemandCharges&oldid488967"...

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Commercial Buildings Energy Consumption Survey (CBECS) - Analysis &  

Gasoline and Diesel Fuel Update (EIA)

All Reports & Publications All Reports & Publications Search By: Go Pick a date range: From: To: Go Commercial BuildingsAvailable formats PDF Modeling Distributed Generation in the Buildings Sectors Released: August 29, 2013 This report focuses on how EIA models residential and commercial sector distributed generation, including combined heat and power, for the Annual Energy Outlook. PDF Distributed Generation System Characteristics and Costs in the Buildings Sector Released: August 7, 2013 EIA works with technology experts to project the cost and performance of future residential and commercial sector photovoltaic (PV) and small wind installations rather than developing technology projections in-house. These reports have always been available by request. By providing the reports

362

Entergy Texas - SCORE, CitySmart, and Commercial Solutions Programs |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Entergy Texas - SCORE, CitySmart, and Commercial Solutions Programs Entergy Texas - SCORE, CitySmart, and Commercial Solutions Programs Entergy Texas - SCORE, CitySmart, and Commercial Solutions Programs < Back Eligibility Commercial Industrial Institutional Local Government Schools State Government Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Heat Pumps Appliances & Electronics Commercial Lighting Lighting Insulation Design & Remodeling Program Info State Texas Program Type Utility Rebate Program Rebate Amount Commercial Solutions Program: $175/kW demand reduction + $0.02/kWh saved SCORE/CitySmart Programs: $200/kW Provider Entergy Texas, Inc. The Commercial Solutions Program is designed to help participants identify

363

Assessment of Demand Response Resource  

E-Print Network (OSTI)

Assessment of Demand Response Resource Potentials for PGE and Pacific Power Prepared for: Portland January 15, 2004 K:\\Projects\\2003-53 (PGE,PC) Assess Demand Response\\Report\\Revised Report_011504.doc #12;#12;quantec Assessment of Demand Response Resource Potentials for I-1 PGE and Pacific Power I. Introduction

364

ERCOT Demand Response Paul Wattles  

E-Print Network (OSTI)

ERCOT Demand Response Paul Wattles Senior Analyst, Market Design & Development, ERCOT Whitacre;Definitions of Demand Response · `The short-term adjustment of energy use by consumers in response to price to market or reliability conditions.' (NAESB) #12;Definitions of Demand Response · The common threads

Mohsenian-Rad, Hamed

365

Pricing data center demand response  

Science Journals Connector (OSTI)

Demand response is crucial for the incorporation of renewable energy into the grid. In this paper, we focus on a particularly promising industry for demand response: data centers. We use simulations to show that, not only are data centers large loads, ... Keywords: data center, demand response, power network, prediction based pricing

Zhenhua Liu; Iris Liu; Steven Low; Adam Wierman

2014-06-01T23:59:59.000Z

366

China-Transportation Demand Management in Beijing: Mitigation of Emissions  

Open Energy Info (EERE)

China-Transportation Demand Management in Beijing: Mitigation of Emissions China-Transportation Demand Management in Beijing: Mitigation of Emissions in Urban Transport Jump to: navigation, search Name Transportation Demand Management in Beijing - Mitigation of emissions in urban transport Agency/Company /Organization Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH Sector Climate Focus Area Transportation Topics Low emission development planning, -LEDS, -NAMA Website http://www.tdm-beijing.org/ Program Start 2011 Program End 2014 Country China Eastern Asia References Transport Management in Beijing[1] Program Overview The project aims to improve transport demand management (TDM) in Beijing in order to manage the steadily increasing traffic density. The project provides capacity building for decision-makers and transport planners in

367

Assumptions to the Annual Energy Outlook 2002 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and

368

Assumptions to the Annual Energy Outlook 2001 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and

369

Industry Research and Recommendations for New Commercial Buildings  

SciTech Connect

Researchers evaluated industry needs and developed logic models to support possible future commercial new construction research and deployment efforts that could be led or supported by DOE's Commercial Building Integration program or other national initiatives. The authors believe that these recommendations support a proposed course of action from the current state of commercial building energy efficiency to a possible long-term goal of achieving significant market penetration of cost-effective NZE buildings in all building sectors and climates by 2030.

Hendron, B.; Leach, M.; Gregory, N.; Pless, S.; Selkowitz, S.; Matthew, P.

2014-05-01T23:59:59.000Z

370

DRAFT DRAFT Electricity and Natural Gas Sector Description  

E-Print Network (OSTI)

DRAFT DRAFT Electricity and Natural Gas Sector Description For Public Distribution AB 32 Scoping of electricity and natural gas; including electricity generation, combined heat and power, and electricity and natural gas end uses for residential and commercial purposes. Use of electricity and/or gas for industrial

371

Responsible Investment in the Forest Sector Recommendations for Institutional Investors  

E-Print Network (OSTI)

May 2012 Responsible Investment in the Forest Sector Recommendations for Institutional Investors, the advice herein is general in nature and is not intended to influence specific investment decisions and commercial attractiveness of any forestry investment should be considered. # # # Approved for release

372

Variability in Automated Responses of Commercial Buildings and Industrial  

E-Print Network (OSTI)

consumption of commercial buildings and industrial facilities (C&I facilities) during Demand Response (DR. Keywords: demand response, baseline models, load prediction, error analysis, variability, measurement in the past ­ either with relays that interrupt power to air conditioners and water heaters [1], [2

373

Overview of Demand Response  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

08 PJM 08 PJM www.pjm.com ©2003 PJM Overview of Demand Response PJM ©2008 PJM www.pjm.com ©2003 PJM Growth, Statistics, and Current Footprint AEP, Dayton, ComEd, & DUQ Dominion Generating Units 1,200 + Generation Capacity 165,000 MW Peak Load 144,644 MW Transmission Miles 56,070 Area (Square Miles) 164,250 Members 500 + Population Served 51 Million Area Served 13 States and DC Generating Units 1,200 + Generation Capacity 165,000 MW Peak Load 144,644 MW Transmission Miles 56,070 Area (Square Miles) 164,250 Members 500 + Population Served 51 Million Area Served 13 States and DC Current PJM RTO Statistics Current PJM RTO Statistics PJM Mid-Atlantic Integrations completed as of May 1 st , 2005 ©2008 PJM

374

Garnering the Industrial Sector: A Comparison of Cutting Edge Industrial DSM Programs  

E-Print Network (OSTI)

The industrial sector has posed a daunting DSM challenge to utilities throughout North America, even to those with successful and creative residential and commercial DSM programs. Most utilities have had great difficulty in going beyond conventional...

Kyricopoulos, P. F.; Wikler, G. A.; Faruqui, A.; Wood, B. G.

375

Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy  

Gasoline and Diesel Fuel Update (EIA)

Survey Background and Technical Information Survey Background and Technical Information Survey Background The commercial sector encompasses a vast range of building types-service businesses, such as retail and wholesale stores, hotels and motels, restaurants, and hospitals, as well as certain buildings that would not be considered "commercial" in a traditional economic sense, such as public and private schools, correctional institutions, and religious and fraternal organizations. Excluded from the sector are the goods-producing industries: manufacturing, agriculture, mining, forestry and fisheries, and construction. Nearly all energy use in the commercial sector takes place in, or is associated with, the buildings that house these commercial activities. Analysis of the structures, activities, and equipment associated with

376

Dams and Energy Sectors Interdependency Study, September 2011 | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Dams and Energy Sectors Interdependency Study, September 2011 Dams and Energy Sectors Interdependency Study, September 2011 Dams and Energy Sectors Interdependency Study, September 2011 The U.S. Department of Energy (DOE) and the U.S. Department of Homeland Security (DHS) collaborated to examine the interdependencies between two critical infrastructure sectors - Dams and Energy. The study highlights the importance of hydroelectric power generation, with a particular emphasis on the variability of weather patterns and competing demands for water which determine the water available for hydropower production. Dams-Energy Interdependency Study.pdf More Documents & Publications Hydroelectric Webinar Presentation Slides and Text Version Impacts of Long-term Drought on Power Systems in the U.S. Southwest - July 2012 Before the Senate Energy and Natural Resources Committee

377

Oxygenate Supply/Demand Balances  

Gasoline and Diesel Fuel Update (EIA)

Oxygenate Supply/Demand Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model By Tancred C.M. Lidderdale This article first appeared in the Short-Term Energy Outlook Annual Supplement 1995, Energy Information Administration, DOE/EIA-0202(95) (Washington, DC, July 1995), pp. 33-42, 83-85. The regression results and historical data for production, inventories, and imports have been updated in this presentation. Contents * Introduction o Table 1. Oxygenate production capacity and demand * Oxygenate demand o Table 2. Estimated RFG demand share - mandated RFG areas, January 1998 * Fuel ethanol supply and demand balance o Table 3. Fuel ethanol annual statistics * MTBE supply and demand balance o Table 4. EIA MTBE annual statistics * Refinery balances

378

Department of Energy and Commercial Real Estate Executives Launch Alliance  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

and Commercial Real Estate Executives Launch and Commercial Real Estate Executives Launch Alliance to Reduce Energy Consumption of Buildings Department of Energy and Commercial Real Estate Executives Launch Alliance to Reduce Energy Consumption of Buildings April 9, 2009 - 12:00am Addthis WASHINGTON, D.C. - Top executives from 19 commercial real estate companies met with U.S. Department of Energy (DOE) officials in New York City today to discuss plans to dramatically reduce the sector's energy consumption and greenhouse gas emissions. The meeting officially launched DOE's Commercial Real Estate Energy Alliance (CREEA), a partnership of commercial real estate owners and operators who have volunteered to work together with DOE to make lasting change in the energy consumption of commercial real estate buildings in the United States. Currently, commercial buildings

379

Procedure for Measuring and Reporting Commercial Building Energy Performance  

SciTech Connect

This procedure is intended to provide a standard method for measuring and characterizing the energy performance of commercial buildings. The procedure determines the energy consumption, electrical energy demand, and on-site energy production in existing commercial buildings of all types. The performance metrics determined here may be compared against benchmarks to evaluate performance and verify that performance targets have been achieved.

Barley, D.; Deru, M.; Pless, S.; Torcellini, P.

2005-10-01T23:59:59.000Z

380

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

Commercial Commercial Mkt trends Market Trends The AEO2011 Reference case shows minimal change in commercial energy use per capita between 2009 and 2035 (Figure 62). While growth in commercial floorspace (1.2 percent per year) is faster than growth in population (0.9 percent per year), energy use per capita remains relatively steady due to efficiency improvements in equipment and building shells. Efficiency standards and the addition of more efficient technologies account for a large share of the improvement in the efficiency of end-use services, notably in space cooling, refrigeration, and lighting. See more issues Issues in Focus In 2009, the residential and commercial buildings sectors used 19.6 quadrillion Btu of delivered energy, or 21 percent of total U.S. energy

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Otter Tail Power Company - Commercial Energy Efficiency Rebate Program |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Otter Tail Power Company - Commercial Energy Efficiency Rebate Otter Tail Power Company - Commercial Energy Efficiency Rebate Program Otter Tail Power Company - Commercial Energy Efficiency Rebate Program < Back Eligibility Agricultural Commercial Industrial Savings Category Heating & Cooling Commercial Heating & Cooling Heating Heat Pumps Appliances & Electronics Commercial Lighting Lighting Manufacturing Water Heating Maximum Rebate Water Heaters: $5,000 Lighting: over $4,500 must be preapproved Program Info State South Dakota Program Type Utility Rebate Program Rebate Amount Lighting (Hard-Wired Systems): $0.20/watt of demand reduction Lighting (Screw-In CFL/LED): $0.05/watt of demand reduction Motors: $20 - $3,000 Air Source Heat Pumps: $160 Geothermal Heat Pumps: $350 Water Heaters: $150 - $300; or $20/kw Thermal Storage: $20 - $40

382

Commercial Building National Accounts | Open Energy Information  

Open Energy Info (EERE)

Commercial Building National Accounts Commercial Building National Accounts Jump to: navigation, search National Accounts is part of DOE's Net-Zero Energy Commercial Building Initiative (CBI), which was mandated by the 2007 Energy Independence and Security Act (EISA). EISA enabled DOE to bring together parties from the private sector, DOE national labs, other federal agencies and nongovernmental organizations to advance research into low- and zero-net-energy buildings. CBI's goal is to develop market-ready, net zero-energy commercial buildings by 2025. A net zero-energy building makes as much energy as it uses over a year[1] [2]. As of 2009, estimates indicated that retail and office buildings consume 18 percent of the nation's total energy and half of nation's overall building energy (including homes, schools, and other structures). The program

383

Demand Response Programs, 6. edition  

SciTech Connect

The report provides a look at the past, present, and future state of the market for demand/load response based upon market price signals. It is intended to provide significant value to individuals and companies who are considering participating in demand response programs, energy providers and ISOs interested in offering demand response programs, and consultants and analysts looking for detailed information on demand response technology, applications, and participants. The report offers a look at the current Demand Response environment in the energy industry by: defining what demand response programs are; detailing the evolution of program types over the last 30 years; discussing the key drivers of current initiatives; identifying barriers and keys to success for the programs; discussing the argument against subsidization of demand response; describing the different types of programs that exist including:direct load control, interruptible load, curtailable load, time-of-use, real time pricing, and demand bidding/buyback; providing examples of the different types of programs; examining the enablers of demand response programs; and, providing a look at major demand response programs.

NONE

2007-10-15T23:59:59.000Z

384

Commercial Buildings Consortium  

Energy.gov (U.S. Department of Energy (DOE))

Commercial Buildings Integration Project for the 2013 Building Technologies Office's Program Peer Review

385

Technology Commercialization Fund - EERE Commercialization Office  

NLE Websites -- All DOE Office Websites (Extended Search)

Fund The Technology Commercialization Fund (TCF) is designed to complement angel investment or early stage corporate product development. The fund totaled nearly 14.3 million in...

386

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network (OSTI)

of control. Water heater demand response options are notcurrent water heater and air conditioning demand responsecustomer response Demand response water heater participation

Levy, Roger

2014-01-01T23:59:59.000Z

387

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

and D. Kathan (2009). Demand Response in U.S. ElectricityEnergy Financial Group. Demand Response Research Center [2008). Assessment of Demand Response and Advanced Metering.

Goldman, Charles

2010-01-01T23:59:59.000Z

388

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network (OSTI)

Like HECO actual utility demand response implementations canindustry-wide utility demand response applications tend toobjective. Figure 4. Demand Response Objectives 17

Levy, Roger

2014-01-01T23:59:59.000Z

389

Installation and Commissioning Automated Demand Response Systems  

E-Print Network (OSTI)

their partnership in demand response automation research andand Techniques for Demand Response. LBNL Report 59975. Mayof Fully Automated Demand Response in Large Facilities.

Kiliccote, Sila; Global Energy Partners; Pacific Gas and Electric Company

2008-01-01T23:59:59.000Z

390

Barrier Immune Radio Communications for Demand Response  

E-Print Network (OSTI)

of Fully Automated Demand Response in Large Facilities,Fully Automated Demand Response Tests in Large Facilities.for Automated Demand Response. Technical Document to

Rubinstein, Francis

2010-01-01T23:59:59.000Z

391

Retail Demand Response in Southwest Power Pool  

E-Print Network (OSTI)

23 ii Retail Demand Response in SPP List of Figures and10 Figure 3. Demand Response Resources by11 Figure 4. Existing Demand Response Resources by Type of

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

392

Home Network Technologies and Automating Demand Response  

E-Print Network (OSTI)

and Automating Demand Response Charles McParland, Lawrenceand Automating Demand Response Charles McParland, LBNLCommercial and Residential Demand Response Overview of the

McParland, Charles

2010-01-01T23:59:59.000Z

393

Wireless Demand Response Controls for HVAC Systems  

E-Print Network (OSTI)

Strategies Linking Demand Response and Energy Efficiency,Fully Automated Demand Response Tests in Large Facilities,technical support from the Demand Response Research Center (

Federspiel, Clifford

2010-01-01T23:59:59.000Z

394

Option Value of Electricity Demand Response  

E-Print Network (OSTI)

Table 1. Economic demand response and real time pricing (Implications of Demand Response Programs in CompetitiveAdvanced Metering, and Demand Response in Electricity

Sezgen, Osman; Goldman, Charles; Krishnarao, P.

2005-01-01T23:59:59.000Z

395

Demand Responsive Lighting: A Scoping Study  

E-Print Network (OSTI)

3 2.1 Demand-Side Managementbuildings. The demand side management framework is discussedIssues 2.1 Demand-Side Management Framework Forecasting

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

396

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

of Energy demand-side management energy information systemdemand response. Demand-side management (DSM) program goalsa goal for demand-side management (DSM) coordination and

Goldman, Charles

2010-01-01T23:59:59.000Z

397

China's Coal: Demand, Constraints, and Externalities  

E-Print Network (OSTI)

raising transportation oil demand. Growing internationalcoal by wire could reduce oil demand by stemming coal roadEastern oil production. The rapid growth of coal demand

Aden, Nathaniel

2010-01-01T23:59:59.000Z

398

Coupling Renewable Energy Supply with Deferrable Demand  

E-Print Network (OSTI)

World: Renewable Energy and Demand Response Proliferation intogether the renewable energy and demand response communityimpacts of renewable energy and demand response integration

Papavasiliou, Anthony

2011-01-01T23:59:59.000Z

399

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

District Small Business Summer Solutions: Energy and DemandSummer Solutions: Energy and Demand Impacts Monthly Energy> B-2 Coordination of Energy Efficiency and Demand Response

Goldman, Charles

2010-01-01T23:59:59.000Z

400

Annual World Oil Demand Growth  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: Following relatively small increases of 1.3 million barrels per day in 1999 and 0.9 million barrels per day in 2000, EIA is estimating world demand may grow by 1.6 million barrels per day in 2001. Of this increase, about 3/5 comes from non-OECD countries, while U.S. oil demand growth represents more than half of the growth projected in OECD countries. Demand in Asia grew steadily during most of the 1990s, with 1991-1997 average growth per year at just above 0.8 million barrels per day. However, in 1998, demand dropped by 0.3 million barrels per day as a result of the Asian economic crisis that year. Since 1998, annual growth in oil demand has rebounded, but has not yet reached the average growth seen during 1991-1997. In the Former Soviet Union, oil demand plummeted during most of the

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Cool energy savings opportunities in commercial refrigeration  

SciTech Connect

The commercial sector consumes over 13 quads of primary energy annually. Most of this consumption (two-thirds) meets the energy needs of lighting and heating, ventilation, and air-conditioning. The largest consuming group of the remaining one-third is commercial refrigeration at about one quad annually (990 trillion Btu), valued at over $7 billion per year to the commercial sector consumer. Potential energy savings are estimated to be about 266 trillion Btu, with consumer savings valued at about $2 billion. This study provides the first known estimates of these values using a bottom-up approach. The authors evaluated numerous self-contained and engineered commercial refrigeration systems in this study, such as: supermarket central systems, beverage merchandisers, ice machines, and vending machines. Typical physical characteristics of each equipment type were identified at the component level for energy consumption. This information was used to form a detailed database from which they arrived at the estimate of 990 trillion Btu energy consumption for the major equipment types used in commercial refrigeration. Based on the implementation of the most cost-effective technology improvements for the seven major equipment types, they estimated an annual potential energy savings of 266 trillion Btu. Much of the savings can be realized with the implementation of high-efficiency fan motors and compressors. In many cases, payback can be realized within three years.

Westphalen, D.; Brodrick, J.; Zogg, R.

1998-07-01T23:59:59.000Z

402

MANAGING COMMERCIAL RECREATION ON CROWN LAND IN BRITISH COLUMBIA: A POLICY EVALUATION  

E-Print Network (OSTI)

MANAGING COMMERCIAL RECREATION ON CROWN LAND IN BRITISH COLUMBIA: A POLICY EVALUATION By Neil of Research Project: Managing Commercial Recreation on Crown Land in British Columbia: A Policy Evaluation, the commercial recreation tourism sector has traditionally found little government support either in broader

403

U.S. Coal Supply and Demand: 2003 Review  

Gasoline and Diesel Fuel Update (EIA)

3 Review 3 Review 1 U.S. Coal Supply and Demand: 2003 Review by Fred Freme U.S. Energy Information Administration Overview U.S. coal production fell for the second year in a row in 2003, declining by 24.8 million short tons to end the year at 1,069.5 million short tons according to preliminary data from the Energy Information Administration (Table 1), down 2.3 percent from the 2002 level of 1,094.3 million short tons. (Note: All percentage change calculations are done at the short ton level.) Total U.S. coal consumption rose in 2003, with all coal-consuming sectors increasing or remaining stable for the year. Coal consumption in the electric power sector increased by 2.4 percent. However, there were only slight gains in consumption by the other sectors. U.S. coal exports rose in 2003 for the first time in

404

Sector 1 - Software  

NLE Websites -- All DOE Office Websites (Extended Search)

APS Software APS Software Scientists and researchers at the APS develop custom scientific software to help with acquisition and analysis of beamline data. Several packages are available for a variety of platforms and uses. Data Acquisition Motion control and data collection at the 1-BM and 1-ID beamlines are primarily executed using EPICS software. We also utilize SPEC, running through EPICS, for many experiments. Data Analysis Some of the programs used at Sector 1 to analyse 1-d and/or 2-d data sets are described: Fit2d, for viewing and analysing 2-dimensional data Igor, for analysis of small-angle scattering data Matlab, for strain/texture analysis and image analysis. GSAS/EXPGUI, for structural refinement of diffraction data. A comprehensive list of Powder Diffraction Software and Resources can be

405

Louisville Private Sector Agenda  

NLE Websites -- All DOE Office Websites (Extended Search)

Thursday, December 13, 2007 Thursday, December 13, 2007 9:00 AM - 12:00 PM Agenda * Welcome and introductions from the Mayor (9:00-9:15) o The Mayor's energy and climate protection goals for Louisville o Request for private sector input for the upcoming public-private partnership to promote increased energy efficiency in buildings throughout the Louisville community o Highlights from the December 12 meeting of the ENERGY STAR Challenge implementation group o Introduction to Metro's Green Initiative and goals for today's session * Getting started with ENERGY STAR (9:15-10:00) o Introduction to the program and overview of ENERGY STAR resources o Kentucky and regional ENERGY STAR Partners and labeled buildings o Simple steps for energy savings o The benefits of energy savings

406

Sector 6 Publications  

NLE Websites -- All DOE Office Websites (Extended Search)

0 0 2009 2008 2007 2006 2005 2004 2003 2002 2001 APS Pubs. Database Sector 6 Publications Publications 2013:(45) "Classical and quantum phase transitions revealed using transport and x-ray measurements," Arnab Banerjee, Ph.D.-Thesis, University of Chicago, 2013. "Charge transfer and multiple density waves in the rare earth tellurides," A. Banerjee, Yejun Feng, D.M. Silevitch, Jiyang Wang, J.C. Lang, H.-H. Kuo, I.R. Fisher, T.F. Rosenbaum, Phys. Rev. B 87, 155131 (2013). "Controlling Size-Induced Phase Transformations Using Chemically Designed Nanolaminates," Matt Beekman, Sabrina Disch, Sergei Rouvimov, Deepa Kasinathan, Klaus Koepernik, Helge Rosner, Paul Zschack, Wolfgang S. Neumann, David C. Johnson, Angew. Chem. Int. Ed. 52, 13211 (2013).

407

Energy Sector Market Analysis  

SciTech Connect

This paper presents the results of energy market analysis sponsored by the Department of Energy's (DOE) Weatherization and International Program (WIP) within the Office of Energy Efficiency and Renewable Energy (EERE). The analysis was conducted by a team of DOE laboratory experts from the National Renewable Energy Laboratory (NREL), Oak Ridge National Laboratory (ORNL), and Pacific Northwest National Laboratory (PNNL), with additional input from Lawrence Berkeley National Laboratory (LBNL). The analysis was structured to identify those markets and niches where government can create the biggest impact by informing management decisions in the private and public sectors. The analysis identifies those markets and niches where opportunities exist for increasing energy efficiency and renewable energy use.

Arent, D.; Benioff, R.; Mosey, G.; Bird, L.; Brown, J.; Brown, E.; Vimmerstedt, L.; Aabakken, J.; Parks, K.; Lapsa, M.; Davis, S.; Olszewski, M.; Cox, D.; McElhaney, K.; Hadley, S.; Hostick, D.; Nicholls, A.; McDonald, S.; Holloman, B.

2006-10-01T23:59:59.000Z

408

ADB-Methods and Tools for Energy Demand Projection | Open Energy  

Open Energy Info (EERE)

ADB-Methods and Tools for Energy Demand Projection ADB-Methods and Tools for Energy Demand Projection Jump to: navigation, search Tool Summary Name: Methods and Tools for Energy Demand Projection Agency/Company /Organization: Asian Development Bank Sector: Energy Topics: Pathways analysis Resource Type: Presentation, Software/modeling tools Website: cdm-mongolia.com/files/2_Methods_Hoseok_16May2010.pdf Cost: Free Methods and Tools for Energy Demand Projection Screenshot References: Methods and Tools for Energy Demand Projection[1] This article is a stub. You can help OpenEI by expanding it. References ↑ "Methods and Tools for Energy Demand Projection" Retrieved from "http://en.openei.org/w/index.php?title=ADB-Methods_and_Tools_for_Energy_Demand_Projection&oldid=398945" Categories:

409

Electric Power Sector  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Electric Power Sector Hydroelectric Power (a) ............... 0.670 0.785 0.653 0.561 0.633 0.775 0.631 0.566 0.659 0.776 0.625 0.572 2.668 2.605 2.633 Wood Biomass (b) ........................ 0.048 0.043 0.052 0.046 0.045 0.039 0.051 0.052 0.055 0.049 0.060 0.054 0.190 0.187 0.218 Waste Biomass (c) ....................... 0.063 0.064 0.066 0.069 0.061 0.063 0.063 0.064 0.062 0.065 0.068 0.065 0.262 0.250 0.261 Wind ............................................. 0.376 0.361 0.253 0.377 0.428 0.461 0.315 0.400 0.417 0.461 0.340 0.424 1.368 1.604 1.641 Geothermal ................................. 0.036 0.037 0.038 0.039 0.041 0.041 0.041 0.042 0.041 0.040 0.041 0.042 0.149 0.164 0.165 Solar ............................................. 0.007 0.022 0.021 0.014 0.013 0.022 0.026 0.016 0.021 0.048 0.048 0.025 0.064

410

Program Program Organization Country Region Topic Sector Sector  

Open Energy Info (EERE)

Program Organization Country Region Topic Sector Sector Program Organization Country Region Topic Sector Sector Albania Enhancing Capacity for Low Emission Development Strategies EC LEDS Albania Enhancing Capacity for Low Emission Development Strategies EC LEDS United States Agency for International Development USAID United States Environmental Protection Agency United States Department of Energy United States Department of Agriculture United States Department of State Albania Southern Asia Low emission development planning LEDS Energy Land Climate Algeria Clean Technology Fund CTF Algeria Clean Technology Fund CTF African Development Bank Asian Development Bank European Bank for Reconstruction and Development EBRD Inter American Development Bank IDB World Bank Algeria South Eastern Asia Background analysis Finance Implementation

411

Lighting in Residential and Commercial Buildings (1993 and 1995 Data) --  

U.S. Energy Information Administration (EIA) Indexed Site

Commercial Buildings Home > Special Topics and Data Reports > Types of Lights Commercial Buildings Home > Special Topics and Data Reports > Types of Lights Picture of a light bulb At Home and At Work: What Types of Lights Are We Using? Two national EIA surveys report that . . . Of residential households, 98 percent use incandescent, 42 percent use fluorescent. Of commercial buildings, 59 percent use incandescent, 92 percent use fluorescent. At a glance, we might conclude that substantial energy savings could occur in both the residential and commercial sectors if they replaced their incandescent lights with fluorescent lights, given that fluorescent lights consume approximately 75-85 percent less electricity than incandescent lights. In the residential sector, this is true. However, in the commercial sector, where approximately 92 percent of the buildings already use fluorescent lights, increasing energy savings will require upgrading existing lights and lighting systems. To maximize energy savings, analysis must also consider the hours the lights are used and the amount of floorspace lit by that lighting type. Figures 1 and 2 show the types of lights used by the percent of households and by the percent of floorspace lit for the residential and the commercial sectors, respectively.

412

US National Institute of Hydrogen Fuel Cell Commercialization | Open Energy  

Open Energy Info (EERE)

Institute of Hydrogen Fuel Cell Commercialization Institute of Hydrogen Fuel Cell Commercialization Jump to: navigation, search Name US National Institute of Hydrogen Fuel Cell Commercialization Place Columbia, South Carolina Zip 29250-0768 Sector Hydro, Hydrogen Product The National Institute of Hydrogen Fuel Cell Commercialization, a nonprofit organization, will work to find commercial opportunities for USC and other state research institutions doing fuel cell research. References US National Institute of Hydrogen Fuel Cell Commercialization[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. US National Institute of Hydrogen Fuel Cell Commercialization is a company located in Columbia, South Carolina . References

413

Liberty Utilities (Electric) - Commercial New Construction Rebate Program  

Open Energy Info (EERE)

Utilities (Electric) - Commercial New Construction Rebate Program Utilities (Electric) - Commercial New Construction Rebate Program (New Hampshire) No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Summary Last modified on March 13, 2013. Financial Incentive Program Place New Hampshire Name Liberty Utilities (Electric) - Commercial New Construction Rebate Program (New Hampshire) Incentive Type Utility Rebate Program Applicable Sector Commercial, Industrial, Local Government, Schools Eligible Technologies Central Air conditioners, Chillers, Compressed air, Custom/Others pending approval, Energy Mgmt. Systems/Building Controls, Heat pumps, Lighting, Lighting Controls/Sensors, Motor VFDs, Motors, Geothermal Heat Pumps, Control Sensors, Economizers

414

Energy Sector Cybersecurity Framework Implementation Guidance  

Energy Savers (EERE)

DRAFT FOR PUBLIC COMMENT SEPTEMBER, 2014 ENERGY SECTOR CYBERSECURITY FRAMEWORK IMPLEMENTATION GUIDANCE Energy Sector Cybersecurity Framework Implementation Guidance Table of...

415

Advanced Vehicle Electrification & Transportation Sector Electrificati...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

& Transportation Sector Electrification Advanced Vehicle Electrification & Transportation Sector Electrification 2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies...

416

Solar Photovoltaic Financing: Residential Sector Deployment ...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Solar Photovoltaic Financing: Residential Sector Deployment Solar Photovoltaic Financing: Residential Sector Deployment This report presents the information that homeowners and...

417

Harnessing the power of demand  

SciTech Connect

Demand response can provide a series of economic services to the market and also provide ''insurance value'' under low-likelihood, but high-impact circumstances in which grid reliablity is enhanced. Here is how ISOs and RTOs are fostering demand response within wholesale electricity markets. (author)

Sheffrin, Anjali; Yoshimura, Henry; LaPlante, David; Neenan, Bernard

2008-03-15T23:59:59.000Z

418

China, India demand cushions prices  

SciTech Connect

Despite the hopes of coal consumers, coal prices did not plummet in 2006 as demand stayed firm. China and India's growing economies, coupled with solid supply-demand fundamentals in North America and Europe, and highly volatile prices for alternatives are likely to keep physical coal prices from wide swings in the coming year.

Boyle, M.

2006-11-15T23:59:59.000Z

419

Retail Demand Response in Southwest Power Pool  

E-Print Network (OSTI)

Data Collection for Demand-side Management for QualifyingPrepared by Demand-side Management Task Force of the

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

420

Assumptions to the Annual Energy Outlook - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumption to the Annual Energy Outlook Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions (see Figure 5). The Residential Demand Module also requires projections of available equipment and their installed costs over the forecast horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the forecast horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

EIA - Assumptions to the Annual Energy Outlook 2009 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2009 Residential Demand Module The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions (see Figure 5). The Residential Demand Module also requires projections of available equipment and their installed costs over the projection horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the projection horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

422

Automated Demand Response and Commissioning  

SciTech Connect

This paper describes the results from the second season of research to develop and evaluate the performance of new Automated Demand Response (Auto-DR) hardware and software technology in large facilities. Demand Response (DR) is a set of activities to reduce or shift electricity use to improve the electric grid reliability and manage electricity costs. Fully-Automated Demand Response does not involve human intervention, but is initiated at a home, building, or facility through receipt of an external communications signal. We refer to this as Auto-DR. The evaluation of the control and communications must be properly configured and pass through a set of test stages: Readiness, Approval, Price Client/Price Server Communication, Internet Gateway/Internet Relay Communication, Control of Equipment, and DR Shed Effectiveness. New commissioning tests are needed for such systems to improve connecting demand responsive building systems to the electric grid demand response systems.

Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Bourassa, Norman

2005-04-01T23:59:59.000Z

423

U.S. Coal Supply and Demand: 2001 Review  

Gasoline and Diesel Fuel Update (EIA)

U.S. Coal Supply and Demand: 2001 Review U.S. Coal Supply and Demand: 2001 Review 1 U.S. Coal Supply and Demand: 2001 Review (Revised 5/6/2002) 1 by Fred Freme U.S. Energy Information Administration 1 This article has been revised, deleting 17.6 millions short tons of coal consumed by the manufacturers of synthetic coal from the consumption of coal by "other industrial plants." This change was made because the synthetic coal those plants produced was primarily consumed in the electric sector and reported as coal, resulting in an overstating of total coal consumption. Overview With the dawning of a new century came the beginning of a new era in the coal industry. Instead of the traditional prac- tice of only buying and selling produced coal in the United

424

Water supply and demand in an energy supply model  

SciTech Connect

This report describes a tool for water and energy-related policy analysis, the development of a water supply and demand sector in a linear programming model of energy supply in the United States. The model allows adjustments in the input mix and plant siting in response to water scarcity. Thus, on the demand side energy conversion facilities can substitute more costly dry cooling systems for conventional evaporative systems. On the supply side groundwater and water purchased from irrigators are available as more costly alternatives to unappropriated surface water. Water supply data is developed for 30 regions in 10 Western states. Preliminary results for a 1990 energy demand scenario suggest that, at this level of spatial analysis, water availability plays a minor role in plant siting. Future policy applications of the modeling system are discussed including the evaluation of alternative patterns of synthetic fuels development.

Abbey, D; Loose, V

1980-12-01T23:59:59.000Z

425

Demand Activated Manufacturing Architecture  

SciTech Connect

Honeywell Federal Manufacturing & Technologies (FM&T) engineers John Zimmerman and Tom Bender directed separate projects within this CRADA. This Project Accomplishments Summary contains their reports independently. Zimmerman: In 1998 Honeywell FM&T partnered with the Demand Activated Manufacturing Architecture (DAMA) Cooperative Business Management Program to pilot the Supply Chain Integration Planning Prototype (SCIP). At the time, FM&T was developing an enterprise-wide supply chain management prototype called the Integrated Programmatic Scheduling System (IPSS) to improve the DOE's Nuclear Weapons Complex (NWC) supply chain. In the CRADA partnership, FM&T provided the IPSS technical and business infrastructure as a test bed for SCIP technology, and this would provide FM&T the opportunity to evaluate SCIP as the central schedule engine and decision support tool for IPSS. FM&T agreed to do the bulk of the work for piloting SCIP. In support of that aim, DAMA needed specific DOE Defense Programs opportunities to prove the value of its supply chain architecture and tools. In this partnership, FM&T teamed with Sandia National Labs (SNL), Division 6534, the other DAMA partner and developer of SCIP. FM&T tested SCIP in 1998 and 1999. Testing ended in 1999 when DAMA CRADA funding for FM&T ceased. Before entering the partnership, FM&T discovered that the DAMA SCIP technology had an array of applications in strategic, tactical, and operational planning and scheduling. At the time, FM&T planned to improve its supply chain performance by modernizing the NWC-wide planning and scheduling business processes and tools. The modernization took the form of a distributed client-server planning and scheduling system (IPSS) for planners and schedulers to use throughout the NWC on desktops through an off-the-shelf WEB browser. The planning and scheduling process within the NWC then, and today, is a labor-intensive paper-based method that plans and schedules more than 8,000 shipped parts per month based on more than 50 manually-created document types. The fact that DAMA and FM&T desired to move from paper-based manual architectures to digitally based computer architectures gave further incentive for the partnership to grow. FM&T's greatest strength was its knowledge of NWC-wide scheduling and planning with its role as the NWC leader in manufacturing logistics. DAMA's asset was its new knowledge gained in the research and development of advanced architectures and tools for supply chain management in the textiles industry. These complimentary strengths allowed the two parties to provide both the context and the tools for the pilot. Bender: Honeywell FM&T participated in a four-site supply chain project, also referred to as an Inter-Enterprise Pipeline Evaluation. The MSAD project was selected because it involves four NWC sites: FM&T, Pantex, Los Alamos National Laboratory (LANL), and Lawrence Livermore National Laboratory (LLNL). FM&T had previously participated with Los Alamos National Laboratory in FY98 to model a two-site supply chain project, between FM&T and LANL. Evaluation of a Supply Chain Methodology is a subset of the DAMA project for the AMTEX consortium. LANL organization TSA-7, Enterprise Modeling and Simulation, has been involved in AMTEX and DAMA through development of process models and simulations for LANL, the NWC, and others. The FY 1998 and this FY 1999 projects directly involved collaboration between Honeywell and the Enterprise Modeling and Simulation (TSA-7) and Detonation Science and Technology (DX1) organizations at LANL.

Bender, T.R.; Zimmerman, J.J.

2001-02-07T23:59:59.000Z

426

OGE - Commercial Energy Efficiency Rebate Programs | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

OGE - Commercial Energy Efficiency Rebate Programs OGE - Commercial Energy Efficiency Rebate Programs OGE - Commercial Energy Efficiency Rebate Programs < Back Eligibility Commercial Industrial Savings Category Other Appliances & Electronics Commercial Lighting Lighting Manufacturing Program Info State Arkansas Program Type Utility Rebate Program Rebate Amount T5/T8 Lamps (T12 Replacements): $4 - $8/fixture Fluorescent Fixtures (HID Replacements): $52/watt (400 watt fixture replaced); $102 (750 watt fixture replaced) Hardwired CFLs (Incandescent Lamp Replacement): $8 - $11/fixture LED Exit Signs: $5 Lighting Sensors/Controls: $160/kW of reduced peak demand New Construction Lighting: $160/kW of reduced peak demand Geothermal Heat Pump: $375/ton Standard Offer (HVAC, Motors, Compressed Air, Performance Contracting):

427

Opportunities for Energy Efficiency and Demand Response in the California  

NLE Websites -- All DOE Office Websites (Extended Search)

Opportunities for Energy Efficiency and Demand Response in the California Opportunities for Energy Efficiency and Demand Response in the California Cement Industry Title Opportunities for Energy Efficiency and Demand Response in the California Cement Industry Publication Type Report LBNL Report Number LBNL-4849E Year of Publication 2010 Authors Olsen, Daniel, Sasank Goli, David Faulkner, and Aimee T. McKane Date Published 12/2010 Publisher CEC/LBNL Keywords cement industry, cement sector, demand response, electricity use, energy efficiency, market sectors, mineral manufacturing, technologies Abstract This study examines the characteristics of cement plants and their ability to shed or shift load to participate in demand response (DR). Relevant factors investigated include the various equipment and processes used to make cement, the operational limitations cement plants are subject to, and the quantities and sources of energy used in the cement-making process. Opportunities for energy efficiency improvements are also reviewed. The results suggest that cement plants are good candidates for DR participation. The cement industry consumes over 400 trillion Btu of energy annually in the United States, and consumes over 150 MW of electricity in California alone. The chemical reactions required to make cement occur only in the cement kiln, and intermediate products are routinely stored between processing stages without negative effects. Cement plants also operate continuously for months at a time between shutdowns, allowing flexibility in operational scheduling. In addition, several examples of cement plants altering their electricity consumption based on utility incentives are discussed. Further study is needed to determine the practical potential for automated demand response (Auto-DR) and to investigate the magnitude and shape of achievable sheds and shifts.

428

Experts Meeting: Behavioral Economics as Applied to Energy Demand Analysis and Energy Efficiency Programs  

U.S. Energy Information Administration (EIA) Indexed Site

Experts Meeting: Behavioral Economics Experts Meeting: Behavioral Economics as Applied to Energy Demand Analysis and Energy Efficiency Programs EIA Office of Energy Consumption and Efficiency Analysis July 17, 2013 | Washington, DC Meeting Agenda Jim Turnure, Director, Office of Energy Consumption and Efficiency Analysis July 17, 2013 2 * EIA WELCOME AND INTRODUCTION (15 minutes) * ORIENTATION/PRESENTATION: OVERVIEW OF EIA RESIDENTIAL AND COMMERCIAL DEMAND MODELS AND CURRENT METHODS FOR INCORPORATING ENERGY EFFICIENCY/EFFICIENCY PROGRAMS (30 minutes) * ORIENTATION/PRESENTATION: BEHAVIORAL ECONOMICS GENERAL OVERVIEW AND DISCUSSION (45 minutes) * EXPERTS ROUNDTABLE DISCUSSION/BRAINSTROMING: HOW CAN EIA BENEFIT FROM APPLICATION OF BEHAVIORAL ECONOMICS TO RESIDENTIAL AND COMMERCIAL ENERGY DEMAND MODELING?

429

Annual Real Natural Gas Prices by Sector  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: Major regulatory reforms at the Federal level began at the end of the 1970s with the passage of the Natural Gas Policy Act, and have affected most phases of the industry and markets Over time the movement to a more competitive model led to lower prices starting around 1983, which was accentuated by the drop in world oil prices in 1986 Gas consumers in all sectors seem to have benefited, on average, from a more competitive marketplace However, several factors have come together recently that have pushed spot gas prices up sharply and which are expected to reverse the downward trend in in real gas prices for the next year or so: U.S. gas production has been relatively flat. Expected demand is high under normal weather assumptions. Gas storage levels are below normal.

430

Automated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR  

SciTech Connect

Open Automated Demand Response (OpenADR), an XML-based information exchange model, is used to facilitate continuous price-responsive operation and demand response participation for large commercial buildings in New York who are subject to the default day-ahead hourly pricing. We summarize the existing demand response programs in New York and discuss OpenADR communication, prioritization of demand response signals, and control methods. Building energy simulation models are developed and field tests are conducted to evaluate continuous energy management and demand response capabilities of two commercial buildings in New York City. Preliminary results reveal that providing machine-readable prices to commercial buildings can facilitate both demand response participation and continuous energy cost savings. Hence, efforts should be made to develop more sophisticated algorithms for building control systems to minimize customer's utility bill based on price and reliability information from the electricity grid.

Kim, Joyce Jihyun; Yin, Rongxin; Kiliccote, Sila

2013-10-01T23:59:59.000Z

431

Demand and Price Uncertainty: Rational Habits in International Gasoline Demand  

E-Print Network (OSTI)

global gasoline and diesel price and income elasticities.shift in the short-run price elasticity of gasoline demand.Habits and Uncertain Relative Prices: Simulating Petrol Con-

Scott, K. Rebecca

2013-01-01T23:59:59.000Z

432

Estes Park Light and Power Department - Commercial and Industrial Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Estes Park Light and Power Department - Commercial and Industrial Estes Park Light and Power Department - Commercial and Industrial Energy Efficiency Rebate Program Estes Park Light and Power Department - Commercial and Industrial Energy Efficiency Rebate Program < Back Eligibility Commercial Industrial Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Manufacturing Other Construction Appliances & Electronics Commercial Lighting Lighting Windows, Doors, & Skylights Maximum Rebate $50,000 per year Program Info State Colorado Program Type Utility Rebate Program Rebate Amount Custom Energy Incentive: $0.10 per annual kWh saved Demand Incentive: $500 per kW saved during Summer Peak Period Cooling Efficiency Room AC: $50 - $110/ton, plus $3.50 - $5.00 for each 0.1 above minimum

433

AEP Ohio - Commercial Custom Project Rebate Program | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

- Commercial Custom Project Rebate Program - Commercial Custom Project Rebate Program AEP Ohio - Commercial Custom Project Rebate Program < Back Eligibility Commercial Fed. Government Industrial Institutional Local Government Nonprofit Schools State Government Tribal Government Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Manufacturing Maximum Rebate 50% of cost up to $300,000/project $600,000/year Sliding scale incentive reduction when calculated incentive exceeds $160,000/project. Program Info State Ohio Program Type Utility Rebate Program Rebate Amount 0.08/kWh (for one year energy savings) plus 100/kW AEP's demand reduction (at summer peak) Provider AEP Ohio AEP Ohio offers commercial customers incentives to upgrade inefficient

434

A look at commercial buildings in 1995: Characteristics, energy consumption, and energy expenditures  

SciTech Connect

The commercial sector consists of business establishments and other organizations that provide services. The sector includes service businesses, such as retail and wholesale stores, hotels and motels, restaurants, and hospitals, as well as a wide range of facilities that would not be considered commercial in a traditional economic sense, such as public schools, correctional institutions, and religious and fraternal organizations. Nearly all energy use in the commercial sector takes place in, or is associated with, the buildings that house these commercial activities. Analysis of the structures, activities, and equipment associated with different types of buildings is the clearest way to evaluate commercial sector energy use. The Commercial Buildings Energy Consumption Survey (CBECS) is a national-level sample survey of commercial buildings and their energy suppliers conducted quadrennially (previously triennially) by the Energy Information Administration (EIA). The target population for the 1995 CBECS consisted of all commercial buildings in the US with more than 1,000 square feet of floorspace. Decision makers, businesses, and other organizations that are concerned with the use of energy--building owners and managers, regulators, legislative bodies and executive agencies at all levels of government, utilities and other energy suppliers--are confronted with a buildings sector that is complex. Data on major characteristics (e.g., type of building, size, year constructed, location) collected from the buildings, along with the amount and types of energy the buildings consume, help answer fundamental questions about the use of energy in commercial buildings.

NONE

1998-10-01T23:59:59.000Z

435

Limited Lawn & Limited Commercial  

E-Print Network (OSTI)

Limited Lawn & Ornamental Limited Commercial Landscape Maintenance Review and Exams Limited for Commercial Landscape Maintenance Application: http://www.flaes.org/ pdf/lndspckt.pdf Limited Certification.floridatermitehelp.org or request by phone at 850-921-4177. Limited Lawn & Ornamental/Limited Commercial Landscape Maintenance

Watson, Craig A.

436

Limited Lawn & Limited Commercial  

E-Print Network (OSTI)

Limited Lawn & Ornamental Limited Commercial Landscape Maintenance Review and Exams Limited-921-4177. Limited Lawn & Ornamental/Limited Commercial Landscape Maintenance: Ornamental and Turf Pest Control (SM 7&O/Structural only). See web locations below for applications. Limited Certification for Commercial Landscape

Jawitz, James W.

437

Automated Demand Response Technologies and Demonstration in New York City  

NLE Websites -- All DOE Office Websites (Extended Search)

Technologies and Demonstration in New York City Technologies and Demonstration in New York City using OpenADR Title Automated Demand Response Technologies and Demonstration in New York City using OpenADR Publication Type Report LBNL Report Number LBNL-6470E Year of Publication 2013 Authors Kim, Joyce Jihyun, Sila Kiliccote, and Rongxin Yin Date Published 09/2013 Publisher LBNL/NYSERDA Abstract Demand response (DR) - allowing customers to respond to reliability requests and market prices by changing electricity use from their normal consumption pattern - continues to be seen as an attractive means of demand-side management and a fundamental smart-grid improvement that links supply and demand. Since October 2011, the Demand Response Research Center at Lawrence Berkeley National Laboratory and New York State Energy Research and Development Authority have conducted a demonstration project enabling Automated Demand Response (Auto-DR) in large commercial buildings located in New York City using Open Automated Demand Response (OpenADR) communication protocols. In particular, this project focuses on demonstrating how OpenADR can automate and simplify interactions between buildings and various stakeholders in New York State including the independent system operator, utilities, retail energy providers, and curtailment service providers. In this paper, we present methods to automate control strategies via building management systems to provide event-driven demand response, price response and demand management based on OpenADR signals. We also present cost control opportunities under day-ahead hourly pricing for large customers and Auto-DR control strategies developed for demonstration buildings. Lastly, we discuss the communication architecture and Auto-DR system designed for the demonstration project to automate price response and DR participation.

438

AIDS and the private sector  

Science Journals Connector (OSTI)

... a host of other celebrities are promoting the US launch of 'Product Red', the private sector's campaign to fight AIDS. Some of the profits on products sold in ... is to be welcomed. For two decades, AIDS activists and officials have implored the private sector to join the fight against AIDS. In reality, that effort remains overwhelmingly dependent ...

2006-10-18T23:59:59.000Z

439

Market Assessment of Public Sector Energy Efficiency Potential in India  

NLE Websites -- All DOE Office Websites (Extended Search)

Market Assessment of Public Sector Energy Efficiency Potential in India Market Assessment of Public Sector Energy Efficiency Potential in India Title Market Assessment of Public Sector Energy Efficiency Potential in India Publication Type Report Year of Publication 2012 Authors Iyer, Maithili, and Jayant A. Sathaye Date Published 10-Mar Publisher LBNL Keywords energy efficiency, india, market assessment Abstract The purpose of this study is to assess, with limited resources, the potential for improving energy efficiency in public buildings by providing preliminary estimates of the size of the public sector buildings market, the patterns of energy use in public buildings, and the opportunity for reducing energy use in public buildings. This report estimates the size of this market and the potential for carbon savings with conservative assumptions requiring moderate investment towards efficiency improvement in public sector buildings-here defined as the sum of the public sector commercial and institutional buildings as characterized by the Ministry of Statistics and Program Implementation (MOSPI). Information from this study will be provided to the World Bank and the BEE to assist them in designing effective energy efficiency programs for public buildings

440

Commercial Building Partnerships | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Building Partnerships Building Partnerships Commercial Building Partnerships Image shows a well-lit, warehouse-like produce section of a Whole Foods store. Much of the lighting in the photo eminates from windows along the left side of the photo. The Commercial Building Partnerships (CBP) initiative is demonstrating dramatic energy savings in commercial buildings. Through this cost-shared initiative, partner organizations team with Building Technologies Office (BTO) representatives and others to improve energy efficiency in new and existing buildings. U.S. Department of Energy (DOE) national laboratory staff and private-sector technical experts provide energy analysis support and engineering expertise to explore energy-saving ideas and strategies. Organizations not involved with CBP will benefit from the lessons learned,

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Industrial demand side management status report: Synopsis  

SciTech Connect

Industrial demand side management (DSM) programs, though not as developed or widely implemented as residential and commercial programs, hold the promise of significant energy savings-savings that will benefit industrial firms, utilities and the environment. This paper is a synopsis of a larger research report, Industrial Demand Side Management. A Status Report, prepared for the US Department of Energy. The report provides an overview of and rationale for DSM programs. Benefits and barriers are described, and data from the Manufacturing Energy Consumption Survey are used to estimate potential electricity savings from industrial energy efficiency measures. Overcoming difficulties to effective program implementation is worthwhile, since rough estimates indicate a substantial potential for electricity savings. The report categorizes types of DSM programs, presents several examples of each type, and explores elements of successful programs. Two in-depth case studies (of Boise Cascade and of Eli Lilly and Company) illustrate two types of effective DSM programs. Interviews with staff from state public utility commissions indicate the current thinking about the status and future of industrial DSM programs. Finally, the research report also includes a comprehensive bibliography, a description of technical assistance programs, and an example of a methodology for evaluating potential or actual savings from projects.

Hopkins, M.E.F.; Conger, R.L.; Foley, T.J.; Parker, J.W.; Placet, M.; Sandahl, L.J.; Spanner, G.E.; Woodruff, M.G.; Norland, D.

1995-08-01T23:59:59.000Z

442

Demand Response Research in Spain  

NLE Websites -- All DOE Office Websites (Extended Search)

Demand Response Research in Spain Demand Response Research in Spain Speaker(s): Iñigo Cobelo Date: August 22, 2007 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Mary Ann Piette The Spanish power system is becoming increasingly difficult to operate. The peak load grows every year, and the permission to build new transmission and distribution infrastructures is difficult to obtain. In this scenario Demand Response can play an important role, and become a resource that could help network operators. The present deployment of demand response measures is small, but this situation however may change in the short term. The two main Spanish utilities and the transmission network operator are designing research projects in this field. All customer segments are targeted, and the research will lead to pilot installations and tests.

443

EIA - AEO2010 - Electricity Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Demand Electricity Demand Annual Energy Outlook 2010 with Projections to 2035 Electricity Demand Figure 69. U.S. electricity demand growth 1950-2035 Click to enlarge » Figure source and data excel logo Figure 60. Average annual U.S. retail electricity prices in three cases, 1970-2035 Click to enlarge » Figure source and data excel logo Figure 61. Electricity generation by fuel in three cases, 2008 and 2035 Click to enlarge » Figure source and data excel logo Figure 62. Electricity generation capacity additions by fuel type, 2008-2035 Click to enlarge » Figure source and data excel logo Figure 63. Levelized electricity costs for new power plants, 2020 and 2035 Click to enlarge » Figure source and data excel logo Figure 64. Electricity generating capacity at U.S. nuclear power plants in three cases, 2008, 2020, and 2035

444

Full Rank Rational Demand Systems  

E-Print Network (OSTI)

as a nominal income full rank QES. R EFERENCES (A.84)S. G. Donald. Inferring the Rank of a Matrix. Journal of97-102. . A Demand System Rank Theorem. Econometrica 57 (

LaFrance, Jeffrey T; Pope, Rulon D.

2006-01-01T23:59:59.000Z

445

Demand Forecasting of New Products  

E-Print Network (OSTI)

Keeping Unit or SKU) employing attribute analysis techniques. The objective of this thesis is to improve Abstract This thesis is a study into the demand forecasting of new products (also referred to as Stock

Sun, Yu

446

Solar Photovoltaic Financing: Residential Sector Deployment  

SciTech Connect

This report presents the information that homeowners and policy makers need to facilitate PV financing at the residential level. The full range of cash payments, bill savings, and tax incentives is covered, as well as potentially available solar attribute payments. Traditional financing is also compared to innovative solutions, many of which are borrowed from the commercial sector. Together, these mechanisms are critical for making the economic case for a residential PV installation, given its high upfront costs. Unfortunately, these programs are presently limited to select locations around the country. By calling attention to these innovative initiatives, this report aims to help policy makers consider greater adoption of these models to benefit homeowners interested installing a residential PV system.

Coughlin, J.; Cory, K.

2009-03-01T23:59:59.000Z

447

Demand Response and Energy Efficiency  

E-Print Network (OSTI)

Demand Response & Energy Efficiency International Conference for Enhanced Building Operations ESL-IC-09-11-05 Proceedings of the Ninth International Conference for Enhanced Building Operations, Austin, Texas, November 17 - 19, 2009 2 ?Less than 5..., 2009 4 An Innovative Solution to Get the Ball Rolling ? Demand Response (DR) ? Monitoring Based Commissioning (MBCx) EnerNOC has a solution involving two complementary offerings. ESL-IC-09-11-05 Proceedings of the Ninth International Conference...

448

Demand Response Spinning Reserve Demonstration  

SciTech Connect

The Demand Response Spinning Reserve project is a pioneeringdemonstration of how existing utility load-management assets can providean important electricity system reliability resource known as spinningreserve. Using aggregated demand-side resources to provide spinningreserve will give grid operators at the California Independent SystemOperator (CAISO) and Southern California Edison (SCE) a powerful, newtool to improve system reliability, prevent rolling blackouts, and lowersystem operating costs.

Eto, Joseph H.; Nelson-Hoffman, Janine; Torres, Carlos; Hirth,Scott; Yinger, Bob; Kueck, John; Kirby, Brendan; Bernier, Clark; Wright,Roger; Barat, A.; Watson, David S.

2007-05-01T23:59:59.000Z

449

commercial buildings | OpenEI  

Open Energy Info (EERE)

buildings buildings Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. Source NREL Date Released April 11th, 2011 (3 years ago) Date Updated April 11th, 2011 (3 years ago) Keywords buildings carbon dioxide emissions carbon footprinting CO2 commercial buildings electricity emission factors ERCOT hourly emission factors interconnect nitrogen oxides NOx SO2

450

National Action Plan on Demand Response, June 2010 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Action Plan on Demand Response, June 2010 Action Plan on Demand Response, June 2010 National Action Plan on Demand Response, June 2010 The Federal Energy Regulatory Commission (FERC) is required to develop the National Action Plan on Demand Response (National Action Plan) as outlined in section 529 of the Energy Independence and Security Act of 2007 (EISA), entitled "Electricity Sector Demand Response." This National Action Plan is designed to meet three objectives: Identify "requirements for technical assistance to States to allow them to maximize the amount of demand response resources that can be developed and deployed." Design and identify "requirements for implementation of a national communications program that includes broad-based customer education and support."

451

10 February 2014 SENT TO LSU AGCENTER/LOUISIANA FOREST PRODUCTS DEVELOPMENT CENTER -FOREST SECTOR / FORESTY PRODUCTS INTEREST GROUP  

E-Print Network (OSTI)

renewable energy goals, consumption of wood-based energy in the United States is not increasing as quickly energy sectors. The total usage of woody biomass by all energy sectors is expected to be 1 source of renewable energy. But despite the ramping up of demand in other countries as part of meeting

452

Commercial Kitchen & Food Service Equipment  

NLE Websites -- All DOE Office Websites (Extended Search)

Residential Commercial Commercial Industrial Lighting Energy Smart Grocer Program HVAC Program Shell Measures Commercial Kitchen & Food Service Equipment Plug Load New...

453

1999 Commercial Buildings Characteristics--Energy Sources and End Uses  

U.S. Energy Information Administration (EIA) Indexed Site

Energy Sources and End Uses Energy Sources and End Uses Topics: Energy Sources and End Uses End-Use Equipment Conservation Features and Practices Energy Sources and End Uses CBECS collects information that is used to answer questions about the use of energy in the commercial buildings sector. Questions such as: What kind of energy sources are used? What is energy used for? and What kinds of equipment use energy? Energy Sources Nearly all commercial buildings used at least one source of energy for some end use (Figure 1). Electricity was the most commonly used energy source in commercial buildings (94 percent of buildings comprising 98 percent of commercial floorspace). More than half of commercial buildings (57 percent) and two-thirds of commercial floorspace (68 percent) were served by natural gas. Three sources-fuel oil, district heat, and district chilled water-when used, were used more often in larger buildings.

454

National Action Plan on Demand Response  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Action Plan on Demand National Action Plan on Demand Action Plan on Demand National Action Plan on Demand Response Response Federal Utilities Partnership Working Group Federal Utilities Partnership Working Group November 18, 2008 November 18, 2008 Daniel Gore Daniel Gore Office of Energy Market Regulation Office of Energy Market Regulation Federal Energy Regulatory Commission Federal Energy Regulatory Commission The author's views do not necessarily represent the views of the Federal Energy Regulatory Commission Presentation Contents Presentation Contents Statutory Requirements Statutory Requirements National Assessment [Study] of Demand Response National Assessment [Study] of Demand Response National Action Plan on Demand Response National Action Plan on Demand Response General Discussion on Demand Response and Energy Outlook

455

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

0. Comparisons of energy consumption by sector projections, 2025, 2035, and 2040 0. Comparisons of energy consumption by sector projections, 2025, 2035, and 2040 (quadrillion Btu) Sector AEO2013 Reference INFORUM IHSGI ExxonMobil IEA 2011 Residential 11.3 11.5 10.8 -- -- Residential excluding electricity 6.4 6.6 6.0 5.0 -- Commercial 8.6 8.6 8.5 -- -- Commercial excluding electricity 4.1 4.1 4.0 4.0 -- Buildings sector 19.9 20.1 19.3 -- 19.3a Industrial 24.0 23.6 -- -- 23.7a Industrial excluding electricity 20.7 20.2 -- 20.0 -- Lossesb 0.7 -- -- -- -- Natural gas feedstocks 0.5 -- -- -- -- Industrial removing losses and feedstocks 22.9 -- 21.7 -- -- Transportation 27.1 27.2 26.2 27.0 23.1a Electric power 39.4 39.2 40.5 37.0 37.2a Less: electricity demandc 12.7 12.8 12.7 -- 15.0a

456

Demand Response Projects: Technical and Market Demonstrations  

E-Print Network (OSTI)

Demand Response Projects: Technical and Market Demonstrations Philip D. Lusk Deputy Director Energy Analyst #12;PLACE CAPTION HERE. #12;#12;#12;#12;City of Port Angeles Demand Response History energy charges · Demand charges during peak period only ­ Reduced demand charges for demand response

457

Open Automated Demand Response Communications in Demand Response for Wholesale Ancillary Services  

E-Print Network (OSTI)

A. Barat, D. Watson. 2006 Demand Response Spinning ReserveKueck, and B. Kirby 2008. Demand Response Spinning ReserveReport 2009. Open Automated Demand Response Communications

Kiliccote, Sila

2010-01-01T23:59:59.000Z

458

Demand Response and Open Automated Demand Response Opportunities for Data Centers  

E-Print Network (OSTI)

Standardized Automated Demand Response Signals. Presented atand Automated Demand Response in Industrial RefrigeratedActions for Industrial Demand Response in California. LBNL-

Mares, K.C.

2010-01-01T23:59:59.000Z

459

Effective Occupied and Vacant Square Footage in Commercial Buildigs in 1992  

U.S. Energy Information Administration (EIA) Indexed Site

Effective Occupied and Vacant Sq. Ft. Effective Occupied and Vacant Sq. Ft. Effective Occupied and Vacant Square Footage in Commercial Buildings in 1992 -- A Useful Benchmark of Commercial Floorspace Vacancy Rates -- Introduction One of the major approaches to analyzing energy use in end-use sectors is to relate energy use to measures of the extent of utilization of the sector, either in absolute terms or in terms relative to some maximum utilization level. For example, vehicle miles traveled is a measure of vehicle utilization in the transportation sector. The percent of maximum production capability at which an industry or an individual plant is operating is a measure of industrial capacity utilization in the industrial sector. For the commercial buildings sector, two concepts that measure how intensely a building is utilized seem to predominate: the number of hours the building is in operation and the amount of floorspace in the building that is occupied (or conversely, the amount that is vacant).

460

A Market-Specific Methodology for a Commercial Building Energy Performance Index  

Science Journals Connector (OSTI)

The scaling of energy efficiency initiatives in the commercial building sector ... methodologies that do not adequately model patterns of energy consumption, nor provide accurate measures of relative energy perfo...

Constantine E. Kontokosta

2014-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand sector commercial" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Characterization of the U.S. Industrial/Commercial Boiler Population- Final Report, May 2005  

Energy.gov (U.S. Department of Energy (DOE))

The U.S. industrial and commercial sectors consume large quantities of energy. Much of this energy is used in boilers to generate steam and hot water. This 2005 report characterizes the boilers in...

462

Demand Response Opportunities and Enabling Technologies for Data Centers:  

NLE Websites -- All DOE Office Websites (Extended Search)

Demand Response Opportunities and Enabling Technologies for Data Centers: Demand Response Opportunities and Enabling Technologies for Data Centers: Findings From Field Studies Title Demand Response Opportunities and Enabling Technologies for Data Centers: Findings From Field Studies Publication Type Report LBNL Report Number LBNL-5763E Year of Publication 2012 Authors Ghatikar, Girish, Venkata Ganti, Nance Matson, and Mary Ann Piette Publisher PG&E/SDG&E/CEC/LBNL Keywords communication and standards, control systems, data centers, demand response, enabling technologies, end-use technologies, load migration, market sectors, technologies Abstract The energy use in data centers is increasing and, in particular, impacting the data center energy cost and electric grid reliability during peak and high price periods. As per the 2007 U.S. Environmental Protection Agency (EPA), in the Pacific Gas and Electric Company territory, data centers are estimated to consume 500 megawatts of annual peak electricity. The 2011 data confirm the increase in data center energy use, although it is slightly lower than the EPA forecast. Previous studies have suggested that data centers have significant potential to integrate with supply-side programs to reduce peak loads. In collaboration with California data centers, utilities, and technology vendors, this study conducted field tests to improve the understanding of the demand response opportunities in data centers. The study evaluated an initial set of control and load migration strategies and economic feasibility for four data centers. The findings show that with minimal or no impact to data center operations a demand savings of 25% at the data center level or 10% to 12% at the whole building level can be achieved with strategies for cooling and IT equipment, and load migration. These findings should accelerate the grid-responsiveness of data centers through technology development, integration with the demand response programs, and provide operational cost savings.

463

Transforming Commercial Building Operations  

NLE Websites -- All DOE Office Websites (Extended Search)

Transforming Commercial Building Operations Transforming Commercial Building Operations Transforming Commercial Building Operations Ron Underhill Pacific Northwest National Laboratory ronald.underhill@pnnl.gov (509)375-9765 April 4, 2013 2 | Building Technologies Office eere.energy.gov * Most buildings are not commissioned (Cx) before occupancy, including HVAC and lighting systems * Buildings often are poorly operated and maintained leading to significant energy waste of 5 to 20%, even when they have building automation systems (BASs)

464

Transforming Commercial Building Operations  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Transforming Commercial Building Operations Transforming Commercial Building Operations Transforming Commercial Building Operations Ron Underhill Pacific Northwest National Laboratory ronald.underhill@pnnl.gov (509)375-9765 April 4, 2013 2 | Building Technologies Office eere.energy.gov * Most buildings are not commissioned (Cx) before occupancy, including HVAC and lighting systems * Buildings often are poorly operated and maintained leading to significant energy waste of 5 to 20%, even when they have building automation systems (BASs)

465

industrial sector | OpenEI  

Open Energy Info (EERE)

industrial sector industrial sector Dataset Summary Description Biomass energy consumption and electricity net generation in the industrial sector by industry and energy source in 2008. This data is published and compiled by the U.S. Energy Information Administration (EIA). Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated August 01st, 2010 (4 years ago) Keywords 2008 biomass consumption industrial sector Data application/vnd.ms-excel icon industrial_biomass_energy_consumption_and_electricity_2008.xls (xls, 27.6 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata

466

service sector | OpenEI  

Open Energy Info (EERE)

service sector service sector Dataset Summary Description The energy consumption data consists of five spreadsheets: "overall data tables" plus energy consumption data for each of the following sectors: transport, domestic, industrial and service. Each of the five spreadsheets contains a page of commentary and interpretation. Source UK Department of Energy and Climate Change (DECC) Date Released July 31st, 2010 (4 years ago) Date Updated Unknown Keywords annual energy consumption coal Coke domestic Electricity Electricity Consumption energy data Industrial Natural Gas Petroleum service sector transportation UK Data application/zip icon Five Excel spreadsheets with UK Energy Consumption data (zip, 2.6 MiB) Quality Metrics Level of Review Peer Reviewed Comment The data in ECUK are classified as National Statistics

467

The electricity consumption impacts of commercial energy management systems  

SciTech Connect

An investigation of energy management systems (EMS) in large commercial and institutional buildings in North Carolina was undertaken to determine how EMS currently affect electricity consumption and what their potential is for being used to reduce on-peak electricity demand. A survey was mailed to 5000 commercial customers; the 430 responses were tabulated and analyzed; EMS vendors were interviewed, and 30 sites were investigated in detail. The detailed assessments included a site interview and reconstruction of historic billing data to evaluate EMS impact, if any. The results indicate that well-tuned EMS can result in a 10 to 40 percent reduction in billed demand, and smaller reductions in energy.

Buchanan, S.; Taylor, R.; Paulos, S.; Warren, W.; Hay, J.

1989-02-01T23:59:59.000Z

468

Commercial Building Asset Rating Program  

Energy.gov (U.S. Department of Energy (DOE))

Slides from a Commercial Building Initiative webinar outlining the Commercial Building Asset Rating Program on August 23, 2011.

469

Symbiosis Biofeedstock Conference: Expanding Commercialization...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Biofeedstock Conference: Expanding Commercialization of Mutualistic Microbes to Increase Feedstock Production Symbiosis Biofeedstock Conference: Expanding Commercialization of...

470

Commercial Buildings Integration Program  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Buildings Buildings Integration Program Arah Schuur Program Manager arah.schuur@ee.doe.gov April 2, 2013 Building Technologies Office Program Peer Review 2 | Building Technologies Office eere.energy.gov Vision Commercial buildings are constructed, operated, renovated and transacted with energy performance in mind and net zero ready commercial buildings are common and cost-effective. Commercial Buildings Integration Program Mission Accelerate voluntary uptake of significant energy performance improvements in existing and new commercial buildings. 3 | Building Technologies Office eere.energy.gov BTO Goals: BTO supports the development and deployment of technologies and systems to reduce

471

Renae Speck Commercialization Manager  

NLE Websites -- All DOE Office Websites (Extended Search)

Manager Renae Speck, Ph.D is a Commercialization Manager in the Office of Technology Transfer in the Partnership Directorate at the United States Department of Energy's Oak...

472

Commercial Buildings Characteristics 1992  

U.S. Energy Information Administration (EIA) Indexed Site

Buildings Characteristics 1992 Buildings Characteristics Overview Full Report Tables National and Census region estimates of the number of commercial buildings in the U.S. and...

473

Average Commercial Price  

Annual Energy Outlook 2012 (EIA)

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 1231 Reserves...

474

Commercial fertilizers 1993  

SciTech Connect

This report is a compendium of tables on consumption of commercial fertilizers in the USA in 1993, including types of different fertilizers and consumption of each.

Berry, J.T.; Montgomery, M.H.

1993-12-01T23:59:59.000Z

475

Energy End-Use Intensities in Commercial Buildings 1989 -- Executive  

U.S. Energy Information Administration (EIA) Indexed Site

9 Energy End-Use Intensities > Executive Summary 9 Energy End-Use Intensities > Executive Summary Executive Summary Energy End Uses Ranked by Energy Consumption, 1989 Energy End Uses Ranked by Energy Consumption, 1989 Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A through F of the 1989 Commercial Buildings Energy Consumption Survey. divider line The demand for energy in U.S. stores, offices, schools, hospitals, and other commercial buildings has been increasing. This report examines energy intensities in commercial buildings for nine end uses: space heating, cooling, ventilation, lighting, water heating, cooking, refrigeration, office equipment, and "other." The objective of this analysis was to increase understanding of how energy is used in commercial buildings and to identify targets for greater energy efficiency which could moderate future growth in demand.

476

Facilitating Renewable Integration by Demand Response  

Science Journals Connector (OSTI)

Demand response is seen as one of the resources ... expected to incentivize small consumers to participate in demand response. This chapter models the involvement of small consumers in demand response programs wi...

Juan M. Morales; Antonio J. Conejo

2014-01-01T23:59:59.000Z

477

Demand Response as a System Reliability Resource  

E-Print Network (OSTI)

Barat, and D. Watson. 2007. Demand Response Spinning ReserveKueck, and B. Kirby. 2009. Demand Response Spinning ReserveFormat of 2009-2011 Demand Response Activity Applications.

Joseph, Eto

2014-01-01T23:59:59.000Z

478

Demand response-enabled residential thermostat controls.  

E-Print Network (OSTI)

human dimension of demand response technology from a caseArens, E. , et al. 2008. Demand Response Enabling TechnologyArens, E. , et al. 2006. Demand Response Enabling Technology

Chen, Xue; Jang, Jaehwi; Auslander, David M.; Peffer, Therese; Arens, Edward A

2008-01-01T23:59:59.000Z

479

Value of Demand Response -Introduction Klaus Skytte  

E-Print Network (OSTI)

Value of Demand Response - Introduction Klaus Skytte Systems Analysis Department February 7, 2006 Energinet.dk, Ballerup #12;What is Demand Response? Demand response (DR) is the short-term response

480

World Energy Use Trends in Demand  

Science Journals Connector (OSTI)

In order to provide adequate energy supplies in the future, trends in energy demand must be evaluated and projections of future demand developed. World energy use is far from static, and an understanding of the demand

Randy Hudson

1996-01-01T23:59:59.000Z

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481

California Energy Demand Scenario Projections to 2050  

E-Print Network (OSTI)

California Energy Demand Scenario Projections to 2050 RyanCEC (2003a) California energy demand 2003-2013 forecast.CEC (2005a) California energy demand 2006-2016: Staff energy

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

482

Balancing of Energy Supply and Residential Demand  

Science Journals Connector (OSTI)

Power demand of private households shows daily fluctuations and ... (BEV) and heat pumps. This additional demand, especially when it remains unmanaged, will ... to an increase in fluctuations. To balance demand,

Martin Bock; Grit Walther

2014-01-01T23:59:59.000Z

483

UES - Commercial Energy Efficiency Rebate Program | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

UES - Commercial Energy Efficiency Rebate Program UES - Commercial Energy Efficiency Rebate Program UES - Commercial Energy Efficiency Rebate Program < Back Eligibility Commercial Industrial Local Government Schools State Government Savings Catego