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Sample records for demand sector commercial

  1. Commercial Sector Demand Module

    Gasoline and Diesel Fuel Update (EIA)

    the State Energy Data System (SEDS) historical commercial sector consumption, applying an additive correction term to ensure that simulated model results correspond to published...

  2. Residential Demand Sector Data, Commercial Demand Sector Data, Industrial Demand Sector Data - Annual Energy Outlook 2006

    SciTech Connect (OSTI)

    2009-01-18

    Tables describing consumption and prices by sector and census division for 2006 - includes residential demand, commercial demand, and industrial demand

  3. Model Documentation Report: Commercial Sector Demand Module...

    Gasoline and Diesel Fuel Update (EIA)

    the State Energy Data System (SEDS) historical commercial sector consumption, applying an additive correction term to ensure that simulated model results correspond to published...

  4. Commercial Sector Demand Module of the National Energy Modeling...

    Gasoline and Diesel Fuel Update (EIA)

    the State Energy Data System (SEDS) historical commercial sector consumption, applying an additive correction term to ensure that simulated model results correspond to published...

  5. Commercial & Industrial Demand Response

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    & Events Skip navigation links Smart Grid Demand Response Agricultural Residential Demand Response Commercial & Industrial Demand Response Cross-sector Demand Response...

  6. Cross-sector Demand Response

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    & Events Skip navigation links Smart Grid Demand Response Agricultural Residential Demand Response Commercial & Industrial Demand Response Cross-sector Demand Response...

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

    SciTech Connect (OSTI)

    1998-01-01

    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.

  8. DOE/EIA-M066(2010) Commercial Sector Demand Module

    Gasoline and Diesel Fuel Update (EIA)

    the State Energy Data System (SEDS) historical commercial sector consumption, applying an additive correction term to ensure that simulated model results correspond to published...

  9. DOE/EIA-M066(2009) Commercial Sector Demand Module

    Gasoline and Diesel Fuel Update (EIA)

    the State Energy Data System (SEDS) historical commercial sector consumption, applying an additive correction term to ensure that simulated model results correspond to published...

  10. Commercial Demand Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    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.

  11. 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 (OSTI)

    1995-04-01

    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.

  12. Utility Sector Impacts of Reduced Electricity Demand

    SciTech Connect (OSTI)

    Coughlin, Katie

    2014-12-01

    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.

  13. Strategies for Demand Response in Commercial Buildings

    SciTech Connect (OSTI)

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

    2006-06-20

    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.

  14. Strategies for Marketing and Driving Demand for Commercial Financing...

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

    for Marketing and Driving Demand for Commercial Financing Products Strategies for Marketing and Driving Demand for Commercial Financing Products Better Buildings Neighborhood ...

  15. LED Site Lighting in the Commercial Building Sector: Opportunities...

    Energy Savers [EERE]

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

  16. DOE Technology Commercialization Fund Kicks Off New Private Sector...

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

    DOE Technology Commercialization Fund Kicks Off New Private Sector Outreach DOE Technology Commercialization Fund Kicks Off New Private Sector Outreach May 24, 2016 - 4:08pm ...

  17. Strategies for Marketing and Driving Demand for Commercial Financing Products

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Financing and Commercial Peer Exchange Call: Strategies for Marketing and Driving Demand for Commercial Financing Products, Call Slides and Discussion Summary, February 2, 2012.

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

    SciTech Connect (OSTI)

    Not Available

    1980-09-01

    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.

  19. Gas conversion opportunities in LILCO's commercial sector

    SciTech Connect (OSTI)

    Pierce, B.

    1993-03-01

    This report presents the results of a preliminary investigation into opportunities for gas conservation in Long Island Lighting Company's commercial sector. It focusses on gas-fired heating equipment. Various sources of data are examined in order to characterize the commercial buildings and equipment in the service territory. Several key pieces of information necessary to predict savings potential are identified. These include the efficiencies and size distribution of existing equipment. Twenty-one specific conservation measures are identified and their applicability is discussed in terms of equipment size. Recommendations include improving the characterization of existing buildings and equipment, and developing a greater understanding of the savings and costs of conservation measures, and their interactions, especially in the middle size range of buildings and equipment.

  20. Commercial Demand Module of the National Energy Modeling System...

    Gasoline and Diesel Fuel Update (EIA)

    the State Energy Data System (SEDS) historical commercial sector consumption, applying an additive correction term to ensure that simulated model results correspond to published...

  1. Automated Demand Response Benefits California Utilities and Commercial...

    Broader source: Energy.gov (indexed) [DOE]

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

  2. LED Site Lighting in the Commercial Building Sector: Opportunities,

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

    Challenges, and the CBEA Performance Specification | Department of Energy Site Lighting in the Commercial Building Sector: Opportunities, Challenges, and the CBEA Performance Specification LED Site Lighting in the Commercial Building Sector: Opportunities, Challenges, and the CBEA Performance Specification 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.

  3. DOE Technology Commercialization Fund Kicks Off New Private Sector Outreach

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

    | Department of Energy DOE Technology Commercialization Fund Kicks Off New Private Sector Outreach DOE Technology Commercialization Fund Kicks Off New Private Sector Outreach May 24, 2016 - 4:08pm Addthis The U.S. Department of Energy's (DOE's) Technology Commercialization Fund (TCF) is underway in its inaugural year of operation. This week, the DOE kicked off a new round of private sector outreach with a webinar on the TCF. The TCF is an approximately $20 million annual fund that will match

  4. Commercial Buildings Sector Agent-Based Model | Open Energy Informatio...

    Open Energy Info (EERE)

    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...

  5. Buildings Energy Data Book: 3.3 Commercial Sector Expenditures

    Buildings Energy Data Book [EERE]

    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

  6. Natural Gas Infrastructure Implications of Increased Demand from the Electric Power Sector

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

    Implications of Increased Demand from the Electric Power Sector U.S. Department of Energy Page i Natural Gas Infrastructure Implications of Increased Demand from the Electric Power Sector U.S. Department of Energy Page iii Table of Contents Executive Summary ....................................................................................................................................... v 1. Introduction

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

    SciTech Connect (OSTI)

    Herter, Karen; Rasin, Josh; Perry, Tim

    2009-11-30

    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.

  8. Gas conversion opportunities in LILCO`s commercial sector

    SciTech Connect (OSTI)

    Pierce, B.

    1993-03-01

    This report presents the results of a preliminary investigation into opportunities for gas conservation in Long Island Lighting Company`s commercial sector. It focusses on gas-fired heating equipment. Various sources of data are examined in order to characterize the commercial buildings and equipment in the service territory. Several key pieces of information necessary to predict savings potential are identified. These include the efficiencies and size distribution of existing equipment. Twenty-one specific conservation measures are identified and their applicability is discussed in terms of equipment size. Recommendations include improving the characterization of existing buildings and equipment, and developing a greater understanding of the savings and costs of conservation measures, and their interactions, especially in the middle size range of buildings and equipment.

  9. CO2 MONITORING FOR DEMAND CONTROLLED VENTILATION IN COMMERCIAL BUILDINGS

    SciTech Connect (OSTI)

    Fisk, William J.; Sullivan, Douglas P.; Faulkner, David; Eliseeva, Ekaterina

    2010-03-17

    Carbon dioxide (CO{sub 2}) sensors are often deployed in commercial buildings to obtain CO{sub 2} data that are used, in a process called demand-controlled ventilation, to automatically modulate rates of outdoor air ventilation. The objective is to keep ventilation rates at or above design specifications and code requirements and also to save energy by avoiding excessive ventilation rates. Demand controlled ventilation is most often used in spaces with highly variable and sometime dense occupancy. Reasonably accurate CO{sub 2} measurements are needed for successful demand controlled ventilation; however, prior research has suggested substantial measurement errors. Accordingly, this study evaluated: (a) the accuracy of 208 CO{sub 2} single-location sensors located in 34 commercial buildings, (b) the accuracy of four multi-location CO{sub 2} measurement systems that utilize tubing, valves, and pumps to measure at multiple locations with single CO{sub 2} sensors, and (c) the spatial variability of CO{sub 2} concentrations within meeting rooms. The field studies of the accuracy of single-location CO{sub 2} sensors included multi-concentration calibration checks of 90 sensors in which sensor accuracy was checked at multiple CO{sub 2} concentrations using primary standard calibration gases. From these evaluations, average errors were small, -26 ppm and -9 ppm at 760 and 1010 ppm, respectively; however, the averages of the absolute values of error were 118 ppm (16%) and 138 ppm (14%), at concentrations of 760 and 1010 ppm, respectively. The calibration data are generally well fit by a straight line as indicated by high values of R{sup 2}. The Title 24 standard specifies that sensor error must be certified as no greater than 75 ppm for a period of five years after sensor installation. At 1010 ppm, 40% of sensors had errors greater than {+-}75 ppm and 31% of sensors has errors greater than {+-}100 ppm. At 760 ppm, 47% of sensors had errors greater than {+-}75 ppm and 37% of

  10. EA-0513: Approaches for Acquiring Energy Savings in Commercial Sector Buildings, Bonneville Power Administration

    Broader source: Energy.gov [DOE]

    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...

  11. Assumption to the Annual Energy Outlook 2014 - Commercial Demand...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    chosen to meet the projected service demands for the seven major end uses. Once technologies are chosen, the energy consumed by the equipment stock (both existing and purchased...

  12. Model documentation report: Residential sector demand module of the national energy modeling system

    SciTech Connect (OSTI)

    1998-01-01

    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 reference document provides a detailed description for energy analysts, other users, and the public. The NEMS Residential Sector Demand Module is currently used for mid-term forecasting purposes and energy policy analysis over the forecast horizon of 1993 through 2020. The model generates forecasts of energy demand for the residential sector by service, fuel, and Census Division. Policy impacts resulting from new technologies, market incentives, and regulatory changes can be estimated using the module. 26 refs., 6 figs., 5 tabs.

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

    SciTech Connect (OSTI)

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

    2010-05-14

    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.

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

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

    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

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

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

    Department of Energy Targeted CHP Outreach in Selected Sectors of the Commercial Market, 2004 Targeted CHP Outreach in Selected Sectors of the Commercial Market, 2004 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. Major issues affecting each of these markets are explored in the report in detail to provide guidance on the

  16. Natural Gas Infrastructure Implications of Increased Demand from the Electric Sector

    Office of Energy Efficiency and Renewable Energy (EERE)

    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. To perform this analysis, the U.S. Department of Energy commissioned Deloitte MarketPoint to examine scenarios in its North American Integrated Model (NAIM), which simultaneously models the electric power and the natural gas sectors. This study concludes that, under scenarios in which natural gas demand from the electric power sector increases, the incremental increase in interstate natural gas pipeline expansion is modest, relative to historical capacity additions. Similarly, capital expenditures on new interstate pipelines in the scenarios considered here are projected to be significantly less than the capital expenditures associated with infrastructure expansion over the last 15 years.

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

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    RenewableAlternative Nuclear Sector Residential Commercial Industrial Transportation Energy Demand Other Emissions Prices Macroeconomic International Efficiency Publication...

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

    Broader source: Energy.gov [DOE]

    Honeywell’s 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.

  19. Pilot Testing of Commercial Refrigeration-Based Demand Response

    SciTech Connect (OSTI)

    Hirsch, Adam; Clark, Jordan; Deru, Michael; Trenbath, Kim; Doebber, Ian; Studer, Daniel

    2015-10-08

    Supermarkets potentially offer a substantial demand response (DR) resource because of their high energy intensity and use patterns. This report describes a pilot project conducted to better estimate supermarket DR potential. Previous work has analyzed supermarket DR using heating, ventilating, and air conditioning (HVAC), lighting, and anti-condensate heaters. This project was concerned with evaluating DR using the refrigeration system and quantifying the DR potential inherent in supermarket refrigeration systems. Ancillary aims of the project were to identify practical barriers to the implementation of DR programs in supermarkets and to determine which high-level control strategies were most appropriate for achieving certain DR objectives. The scope of this project does not include detailed control strategy development for DR or development of a strategy for regional implementation of DR in supermarkets.

  20. Energy Demand: Limits on the Response to Higher Energy Prices in the End-Use Sectors (released in AEO2007)

    Reports and Publications (EIA)

    2007-01-01

    Energy consumption in the end-use demand sectorsresidential, commercial, industrial, and transportationgenerally shows only limited change when energy prices increase. Several factors that limit the sensitivity of end-use energy demand to price signals are common across the end-use sectors. For example, because energy generally is consumed in long-lived capital equipment, short-run consumer responses to changes in energy prices are limited to reductions in the use of energy services or, in a few cases, fuel switching; and because energy services affect such critical lifestyle areas as personal comfort, medical services, and travel, end-use consumers often are willing to absorb price increases rather than cut back on energy use, especially when they are uncertain whether price increases will be long-lasting. Manufacturers, on the other hand, often are able to pass along higher energy costs, especially in cases where energy inputs are a relatively minor component of production costs. In economic terms, short-run energy demand typically is inelastic, and long-run energy demand is less inelastic or moderately elastic at best.

  1. Buildings Energy Data Book: 3.2 Commercial Sector Characteristics

    Buildings Energy Data Book [EERE]

    5 Commercial Building Size, as of 2003 (Number of Buildings and Percent of Total Floorspace) Square Foot Range Number of Buildings (thousands) 1,001 to 5,000 10% 5,001 to 10,000 10% 10,001 to 25,000 18% 25,001 to 50,000 13% 50,001 to 100,000 14% 100,001 to 200,000 (1) 14% 200,001 to 500,000 10% Over 500,000 11% Total 100% Note(s): Source(s): 26 8 4,859 1) 35% of commercial floorspace is found in 2.2% of commercial buildings that are larger than 100,000 square feet. EIA, 2003 Commercial Buildings

  2. Buildings Energy Data Book: 3.2 Commercial Sector Characteristics

    Buildings Energy Data Book [EERE]

    4 Share of Commercial Floorspace, by Census Region and Vintage, as of 2003 (Percent) Region Prior to 1960 1960 to 1989 1990 to 2003 Total Northeast 9% 8% 3% 20% Midwest 8% 11% 6% 25% South 5% 18% 14% 37% West 3% 9% 5% 18% 100% Source(s): EIA, 2003 Commercial Buildings Energy Consumption Survey: Building Characteristics Tables, Oct. 2006, Table A2, p. 3-4

  3. Buildings Energy Data Book: 3.2 Commercial Sector Characteristics

    Buildings Energy Data Book [EERE]

    6 Commercial Building Vintage, as of 2003 1919 or Before 5% 1920 to 1945 10% 1946 to 1959 10% 1960 to 1969 12% 1970 to 1979 17% 1980 to 1989 17% 1990 to 1999 20% 2000 to 2003 9% Total 100% Source(s): Percent of Total Floorspace EIA, 2003 Commercial Buildings Energy Consumption Survey: Building Characteristics Tables, Oct. 2006, Table A1, p. 1-

  4. Industrial Sector Energy Demand: Revisions for Non-Energy-Intensive Manufacturing (released in AEO2007)

    Reports and Publications (EIA)

    2007-01-01

    For the industrial sector, the Energy Information Administration's (EIA) analysis and projection efforts generally have focused on the energy-intensive industriesfood, bulk chemicals, refining, glass, cement, steel, and aluminumwhere energy cost averages 4.8% of annual operating cost. Detailed process flows and energy intensity indicators have been developed for narrowly defined industry groups in the energy-intensive manufacturing sector. The non-energy-intensive manufacturing industries, where energy cost averages 1.9% of annual operating cost, previously have received somewhat less attention, however. In Annual Energy Outlook 2006 (AEO), energy demand projections were provided for two broadly aggregated industry groups in the non-energy-intensive manufacturing sector: metal-based durables and other non-energy-intensive. In the AEO2006 projections, the two groups accounted for more than 50% of the projected increase in industrial natural gas consumption from 2004 to 2030.

  5. Buildings Energy Data Book: 3.2 Commercial Sector Characteristics

    Buildings Energy Data Book [EERE]

    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,

  6. Buildings Energy Data Book: 3.3 Commercial Sector Expenditures

    Buildings Energy Data Book [EERE]

    0 2003 Energy Expenditures per Square Foot of Commercial Floorspace, by Vintage ($2010) Vintage $/SF Prior to 1960 1.44 1960 to 1969 1.70 1970 to 1979 1.88 1980 to 1989 2.09 1990 to 1999 1.88 2000 to 2003 1.72 Average 1.77 Source(s): EIA, 2003 Commercial Buildings Energy Consumption and Expenditures: Consumption and Expenditures Tables, Table C4; and EIA, Annual Energy Review 2010, Aug. 2011, Appendix D, p. 353 for price deflators

  7. Buildings Energy Data Book: 3.2 Commercial Sector Characteristics

    Buildings Energy Data Book [EERE]

    3 Number of Floors and Type of Ownership, as of 2003 (Percent of Total Floorspace) Floors Ownership One 40% Nongovernment Owned 76% Two 25% Owner-Occupied 36% Three 12% Nonowner-Occupied 37% Four to Nine 16% Unoccupied 3% Ten or More 8% Government Owned 24% Total 100% Federal 3% State 5% Local 15% Total 100% Source(s): EIA, Commercial Building Characteristics 2003, June 2006, Table C1

  8. Buildings Energy Data Book: 3.2 Commercial Sector Characteristics

    Buildings Energy Data Book [EERE]

    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%

  9. Buildings Energy Data Book: 3.3 Commercial Sector Expenditures

    Buildings Energy Data Book [EERE]

    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 - -

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

    Reports and Publications (EIA)

    2003-01-01

    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.

  11. Buildings Energy Data Book: 3.2 Commercial Sector Characteristics

    Buildings Energy Data Book [EERE]

    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,

  12. 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

  13. Buildings Energy Data Book: 3.3 Commercial Sector Expenditures

    Buildings Energy Data Book [EERE]

    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

  14. Buildings Energy Data Book: 3.3 Commercial Sector Expenditures

    Buildings Energy Data Book [EERE]

    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

  15. Buildings Energy Data Book: 3.2 Commercial Sector Characteristics

    Buildings Energy Data Book [EERE]

    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.

  16. Buildings Energy Data Book: 3.3 Commercial Sector Expenditures

    Buildings Energy Data Book [EERE]

    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

  17. Buildings Energy Data Book: 3.3 Commercial Sector Expenditures

    Buildings Energy Data Book [EERE]

    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%

  18. Buildings Energy Data Book: 3.3 Commercial Sector Expenditures

    Buildings Energy Data Book [EERE]

    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%

  19. Buildings Energy Data Book: 3.3 Commercial Sector Expenditures

    Buildings Energy Data Book [EERE]

    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

  20. Buildings Energy Data Book: 3.3 Commercial Sector Expenditures

    Buildings Energy Data Book [EERE]

    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

  1. UDC Teaming with Acuity to Make Commercial-Sector PHOLED Luminaire

    Broader source: Energy.gov [DOE]

    With support from DOE's Small Business Innovation Research program, Universal Display Corporation (UDC) is working with Acuity Brands Lighting to make an efficient, color-tunable luminaire for use in the commercial sector using UDC's proprietary phosphorescent OLED (PHOLED™) technology. The present project aims to adapt this technology—which increases the energy efficiency of OLEDs by as much as fourfold—to high-end commercial and institutional building applications.

  2. Coal supply/demand, 1980 to 2000. Task 3. Resource applications industrialization system data base. Final review draft. [USA; forecasting 1980 to 2000; sector and regional analysis

    SciTech Connect (OSTI)

    Fournier, W.M.; Hasson, V.

    1980-10-10

    This report is a compilation of data and forecasts resulting from an analysis of the coal market and the factors influencing supply and demand. The analyses performed for the forecasts were made on an end-use-sector basis. The sectors analyzed are electric utility, industry demand for steam coal, industry demand for metallurgical coal, residential/commercial, coal demand for synfuel production, and exports. The purpose is to provide coal production and consumption forecasts that can be used to perform detailed, railroad company-specific coal transportation analyses. To make the data applicable for the subsequent transportation analyses, the forecasts have been made for each end-use sector on a regional basis. The supply regions are: Appalachia, East Interior, West Interior and Gulf, Northern Great Plains, and Mountain. The demand regions are the same as the nine Census Bureau regions. Coal production and consumption in the United States are projected to increase dramatically in the next 20 years due to increasing requirements for energy and the unavailability of other sources of energy to supply a substantial portion of this increase. Coal comprises 85 percent of the US recoverable fossil energy reserves and could be mined to supply the increasing energy demands of the US. The NTPSC study found that the additional traffic demands by 1985 may be met by the railways by the way of improved signalization, shorter block sections, centralized traffic control, and other modernization methods without providing for heavy line capacity works. But by 2000 the incremental traffic on some of the major corridors was projected to increase very significantly and is likely to call for special line capacity works involving heavy investment.

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

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

    SciTech Connect (OSTI)

    1997-01-01

    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 that provides 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.

  5. Treatment of DOE and commercial mixed waste by the private sector

    SciTech Connect (OSTI)

    Garrison, T.W.; Apel, M.L.; Owens, C.M.

    1993-03-01

    This paper presents a conceptual approach for private sector treatment of mixed low-level radioactive waste generated by the US Department of Energy and commercial industries. This approach focuses on MLLW treatment technologies and capacities available through the private sector in the near term. Wastestream characterization data for 108 MLLW streams at the Idaho National Engineering Laboratory (INEL) were collected and combined with similar data for MLLWs generated through commercial practices. These data were then provided to private treatment facilities and vendors to determine if, and to what extent, they could successfully treat these wastes. Data obtained from this project have provided an initial assessment of private sector capability and capacity to treat a variety of MLLW streams. This information will help formulate plans for future treatment of these and similar wastestreams at DOE facilities. This paper presents details of the MLLW data-gathering efforts used in this research, private sector assessment methods employed, and results of this assessment. Advantages of private sector treatment, as well as barriers to its present use, are also addressed.

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

    SciTech Connect (OSTI)

    Page, Janie; Kiliccote, Sila; Dudley, Junqiao Han; Piette, Mary Ann; Chiu, Albert K.; Kellow, Bashar; Koch, Ed; Lipkin, Paul

    2011-07-01

    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.

  7. Demand Shifting with Thermal Mass in Light and Heavy Mass Commercial Buildings

    SciTech Connect (OSTI)

    Xu, Peng; Zagreus, Leah

    2009-05-01

    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. This project studied the potential of pre-cooling and demand limiting in a heavy mass and a light mass building in the Bay Area of California. The conclusion of the work to date is that pre-cooling has the potential to improve the demand responsiveness of commercial buildings while maintaining acceptable comfort conditions. Results indicate that pre-cooling increases the depth (kW) and duration (kWh) of the shed capacity of a given building, all other factors being equal. Due to the time necessary for pre-cooling, it is only applicable to day-ahead demand response programs. Pre-cooling can be very effective if the building mass is relatively heavy. The effectiveness of night pre-cooling under hot weather conditions has not been tested. Further work is required to quantify and demonstrate the effectiveness of pre-cooling in different climates. Research is also needed to develop screening tools that can be used to select suitable buildings and customers, identify the most appropriate pre-cooling strategies, and estimate the benefits to the customer and the utility.

  8. Impact of post-event avoidance behavior on commercial facilities sector venues-literature review.

    SciTech Connect (OSTI)

    Samsa, M. E.; Baldwin, T. E.; Berry, M. S.; Guzowski, L. B.; Martinez-Moyano, I.; Nieves, A. L.; Ramarasad, A.

    2011-03-24

    The terrorist attacks of September 11, 2001 (9/11), focused a great deal of interest and concern on how individual and social perceptions of risk change behavior and subsequently affect commercial sector venues. Argonne conducted a review of the literature to identify studies that quantify the direct and indirect economic consequences of avoidance behaviors that result from terrorist attacks. Despite a growing amount of literature addressing terrorism impacts, relatively little is known about the causal relationships between risk perception, human avoidance behaviors, and the economic effects on commercial venues. Nevertheless, the technical and academic literature does provide some evidence, both directly and by inference, of the level and duration of post-event avoidance behaviors on commercial venues. Key findings are summarized in this Executive Summary. Also included as an appendix is a more detailed summary table of literature findings reproduced from the full report.

  9. Better Buildings Neighborhood Program Financing and Commercial Peer Exchange Call: Strategies for Marketing and Driving Demand for Commercial Financing Products: Call Slides and Discussion Summary, February 2, 2012

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

    Financing and Commercial Peer Exchange Call: Strategies for Marketing and Driving Demand for Commercial Financing Products Call Slides and Discussion Summary Agenda * Call Logistics and Attendance  What is your target market for commercial financing? How do you market financial products? * Program Experience and Lessons:  Todd Conkey, Wisconsin Energy Efficiency (We2)  Al Gaspari, Greater Cincinnati Energy Alliance  Julie Metty Bennett, Michigan Saves  Mitchell Hayden, Energize

  10. District of Columbia Price of Natural Gas Delivered to Commercial Sectors

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

    by Marketers (Dollars per Thousand Cubic Feet) Marketers (Dollars per Thousand Cubic Feet) District of Columbia Price of Natural Gas Delivered to Commercial Sectors by Marketers (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 14.26 2010's 12.12 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 08/31/2016 Next Release Date: 09/30/2016

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

    SciTech Connect (OSTI)

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

    2003-04-18

    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

  12. Demand forecasting for automotive sector in Malaysia by system dynamics approach

    SciTech Connect (OSTI)

    Zulkepli, Jafri Abidin, Norhaslinda Zainal; Fong, Chan Hwa

    2015-12-11

    In general, Proton as an automotive company needs to forecast future demand of the car to assist in decision making related to capacity expansion planning. One of the forecasting approaches that based on judgemental or subjective factors is normally used to forecast the demand. As a result, demand could be overstock that eventually will increase the operation cost; or the company will face understock, which resulted losing their customers. Due to automotive industry is very challenging process because of high level of complexity and uncertainty involved in the system, an accurate tool to forecast the future of automotive demand from the modelling perspective is required. Hence, the main objective of this paper is to forecast the demand of automotive Proton car industry in Malaysia using system dynamics approach. Two types of intervention namely optimistic and pessimistic experiments scenarios have been tested to determine the capacity expansion that can prevent the company from overstocking. Finding from this study highlighted that the management needs to expand their production for optimistic scenario, whilst pessimistic give results that would otherwise. Finally, this study could help Proton Edar Sdn. Bhd (PESB) to manage the long-term capacity planning in order to meet the future demand of the Proton cars.

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

    SciTech Connect (OSTI)

    Busch, J.F. Jr.

    1990-08-01

    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.

  14. Model documentation report: Industrial sector demand module of the national energy modeling system

    SciTech Connect (OSTI)

    1998-01-01

    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 requirements of the Energy Information Administration (EIA) to provide adequate documentation in support of its model. 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.

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

    SciTech Connect (OSTI)

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

    2007-05-01

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

  16. Demand Shifting With Thermal Mass in Large Commercial Buildings:Field Tests, Simulation and Audits

    SciTech Connect (OSTI)

    Xu, Peng; Haves, Philip; Piette, Mary Ann; Zagreus, Leah

    2005-09-01

    The principle of pre-cooling and demand limiting is to pre-cool buildings at night or in the morning during off-peak hours, storing cooling in the building thermal mass and thereby reducing cooling loads and reducing or shedding related electrical demand during the peak periods. Cost 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 (Braun 1990, Ruud et al. 1990, Conniff 1991, Andresen and Brandemuehl 1992, Mahajan et al. 1993, Morris et al. 1994, Keeney and Braun 1997, Becker and Paciuk 2002, Xu et al. 2003). This technology appears to have significant potential for demand reduction if applied within an overall demand response program. The primary goal associated with this research is to develop information and tools necessary to assess the viability of and, where appropriate, implement demand response programs involving building thermal mass in buildings throughout California. The project involves evaluating the technology readiness, overall demand reduction potential, and customer acceptance for different classes of buildings. This information can be used along with estimates of the impact of the strategies on energy use to design appropriate incentives for customers.

  17. The Boom of Electricity Demand in the Residential Sector in the Developing World and the Potential for Energy Efficiency

    SciTech Connect (OSTI)

    Letschert, Virginie; McNeil, Michael A.

    2008-05-13

    With the emergence of China as the world's largest energy consumer, the awareness of developing country energy consumption has risen. According to common economic scenarios, the rest of the developing world will probably see an economic expansion as well. With this growth will surely come continued rapid growth in energy demand. This paper explores the dynamics of that demand growth for electricity in the residential sector and the realistic potential for coping with it through efficiency. In 2000, only 66% of developing world households had access to electricity. Appliance ownership rates remain low, but with better access to electricity and a higher income one can expect that households will see their electricity consumption rise significantly. This paper forecasts developing country appliance growth using econometric modeling. Products considered explicitly - refrigerators, air conditioners, lighting, washing machines, fans, televisions, stand-by power, water heating and space heating - represent the bulk of household electricity consumption in developing countries. The resulting diffusion model determines the trend and dynamics of demand growth at a level of detail not accessible by models of a more aggregate nature. In addition, the paper presents scenarios for reducing residential consumption through cost-effective and/or best practice efficiency measures defined at the product level. The research takes advantage of an analytical framework developed by LBNL (BUENAS) which integrates end use technology parameters into demand forecasting and stock accounting to produce detailed efficiency scenarios, which allows for a realistic assessment of efficiency opportunities at the national or regional level. The past decades have seen some of the developing world moving towards a standard of living previously reserved for industrialized countries. Rapid economic development, combined with large populations has led to first China and now India to emerging as 'energy

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

    Reports and Publications (EIA)

    2005-01-01

    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.

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

    SciTech Connect (OSTI)

    Wenzel, Mike

    2013-10-14

    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.

  20. The market and technical potential for combined heat and power in the commercial/institutional sector

    SciTech Connect (OSTI)

    None, None

    2000-01-01

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

  1. Residential Sector Demand Module

    Gasoline and Diesel Fuel Update (EIA)

    Stoves Geothermal Heat Pump Natural Gas Heat Pump Variables: HSYSSHR 2002-5,eg,b,r Benchmarking Data from Short-Term Energy Outlook Definition: Household energy consumption by...

  2. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    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% |

  3. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    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

  4. Commercial

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    of the Commercial Incentive Pilot Program (CIPP). Final Impact Evaluation Report. Cambridge Systematics. (1292) Commercial Incentives Pilot Program (CIPP) Database for the...

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

    SciTech Connect (OSTI)

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

    2009-04-20

    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.

  6. Cost-effective retrofit technology for reducing peak power demand in small and medium commercial buildings

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Nutaro, James J.; Fugate, David L.; Kuruganti, Teja; Sanyal, Jibonananda; Starke, Michael R.

    2015-05-27

    We describe a cost-effective retrofit technology that uses collective control of multiple rooftop air conditioning units to reduce the peak power consumption of small and medium commercial buildings. The proposed control uses a model of the building and air conditioning units to select an operating schedule for the air conditioning units that maintains a temperature set point subject to a constraint on the number of units that may operate simultaneously. A prototype of this new control system was built and deployed in a large gymnasium to coordinate four rooftop air conditioning units. Based on data collected while operating this prototype,more » we estimate that the cost savings achieved by reducing peak power consumption is sufficient to repay the cost of the prototype within a year.« less

  7. Cost-effective retrofit technology for reducing peak power demand in small and medium commercial buildings

    SciTech Connect (OSTI)

    Nutaro, James J.; Fugate, David L.; Kuruganti, Teja; Sanyal, Jibonananda; Starke, Michael R.

    2015-05-27

    We describe a cost-effective retrofit technology that uses collective control of multiple rooftop air conditioning units to reduce the peak power consumption of small and medium commercial buildings. The proposed control uses a model of the building and air conditioning units to select an operating schedule for the air conditioning units that maintains a temperature set point subject to a constraint on the number of units that may operate simultaneously. A prototype of this new control system was built and deployed in a large gymnasium to coordinate four rooftop air conditioning units. Based on data collected while operating this prototype, we estimate that the cost savings achieved by reducing peak power consumption is sufficient to repay the cost of the prototype within a year.

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

    SciTech Connect (OSTI)

    Cole, Henry E.; Fullen, Robert E.

    1980-09-01

    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).

  9. Approaches for Acquiring Energy Savings in Commercial Sector Buildings : Environmental Assessment.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1991-09-01

    Bonneville has carefully considered the potential environmental impacts associated with installation of currently known Energy- efficient Conservation Measures (ECMs) in new and existing commercial buildings, and has implemented specific requirements to minimize those impacts. These Commercial Environmental Requirements would apply to the three proposed conservation approaches outlined in this environmental assessment. The cumulative energy savings from these proposed commercial programs will have a positive impact on the region. These savings will help reduce the region's dependence on other resource types needed to meet Bonneville's load requirements. However, the savings are not large enough to negate or replace other needed resources or other conservation programs. To summarize, the following environmental requirements have been incorporated in all BPA commercial conservation programs, including this proposal. Building owners are required to comply with all Federal, state, and local building and safety codes and environmental regulations. ASHRAE Standard 62-89 has been adopted by Bonneville as the required ventilation standard to improve indoor air quality in commercial buildings. Specific guidelines for installing HPS lighting indoors is provided to program participants. Guidance regarding disposal of fluorescent light ballasts which may contain PCBs is routinely provided to building owners. Bonneville will not fund removal and disposal of asbestos material. The use of urea formaldehyde foam insulation is not permitted in either new construction or in existing building retrofits. The use of toxic transfer fluids is not permitted in any ECM. All commercial buildings over 45 years old will be reviewed in accordance with Bonneville's PMOA with the Advisory Council on Historic Preservation and the State Historic Preservation Offices.

  10. 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% Government Owned 105.3 28% 100% Note(s): Source(s): Consumption (thousand Btu/SF) 1) 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, June 2006,

  11. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    8 Commercial Delivered Energy Consumption Intensities, by Vintage Consumption per Year Constructed Square Foot (thousand Btu/SF) Prior to 1960 84.4 23% 1960 to 1969 91.5 12% 1970 to 1979 97.0 18% 1980 to 1989 100.0 19% 1990 to 1999 90.3 19% 2000 to 2003 81.6 8% Average 91.0 Source(s): EIA, 2003 Commercial Buildings Energy Consumption and Expenditures: Consumption and Expenditures Tables, Oct. 2006, Table C1a

  12. Drivers of Future Energy Demand

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

    Drivers of Future Energy Demand in China Asian Energy Demand Outlook 2014 EIA Energy Conference July 14, 2014 Valerie J. Karplus MIT Sloan School of Management 2 www.china.org.cn www.flickr.com www.wikimedia.org globalchange.mit.edu Global Climate Change Human Development Local Pollution Industrial Development & Resource Needs How to balance? 0 500 1000 1500 2000 2500 3000 3500 4000 1981 1991 2001 2011 Non-material Sectors/Other Construction Commercial consumption Residential consumption

  13. Collaboration from the ground up: the solar community and private sector take over commercialization

    SciTech Connect (OSTI)

    Janssen, M.; Keller, J.; Wilson, K.

    1983-06-01

    Minnesota needs an aggressive campaign to tackle barriers to the commercialization of solar energy in the state. Three statewide solar organizations have built a unique and effective coalition to address that need and have placed special emphasis on financing and promotion.

  14. Electricity Demand of PHEVs Operated by Private Households and Commercial Fleets: Effects of Driving and Charging Behavior

    SciTech Connect (OSTI)

    John Smart; Matthew Shirk; Ken Kurani; Casey Quinn; Jamie Davies

    2010-11-01

    Automotive and energy researchers have made considerable efforts to predict the impact of plug-in hybrid vehicle (PHEV) charging on the electrical grid. This work has been done primarily through computer modeling and simulation. The US Department of Energy’s (DOE) Advanced Vehicle Testing Activity (AVTA), in partnership with the University of California at Davis’s Institute for Transportation Stuides, have been collecting data from a diverse fleet of PHEVs. The AVTA is conducted by the Idaho National Laboratory for DOE’s Vehicle Technologies Program. This work provides the opportunity to quantify the petroleum displacement potential of early PHEV models, and also observe, rather than simulate, the charging behavior of vehicle users. This paper presents actual charging behavior and the resulting electricity demand from these PHEVs operating in undirected, real-world conditions. Charging patterns are examined for both commercial-use and personal-use vehicles. Underlying reasons for charging behavior in both groups are also presented.

  15. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    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

  16. Buildings Energy Data Book: 8.3 Commercial Sector Water Consumption

    Buildings Energy Data Book [EERE]

    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

  17. Distributed Generation Potential of the U.S. CommercialSector

    SciTech Connect (OSTI)

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

    2005-06-01

    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.

  18. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    0 2003 Commercial Primary Energy Consumption Intensities, by Principal Building Type Consumption Percent of Total | Consumption Percent of Total Building Type (thousand Btu/SF) Consumption | Building Type (thousand Btu/SF) Consumption Health Care 345.9 8% | Education 159.0 11% Inpatient 438.8 6% | Service 151.6 4% Outpatient 205.9 2% | Food Service 522.4 6% Food Sales 535.5 5% | Religious Worship 77.0 2% Lodging 193.1 7% | Public Order and Safety 221.1 2% Office 211.7 19% | Warehouse and Storage

  19. Buildings Energy Data Book: 8.3 Commercial Sector Water Consumption

    Buildings Energy Data Book [EERE]

    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 -

  20. Commercial

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    a large efficiency program in Commercial and Industrial Lighting. BPA continues to invest in improving the lighting program as a critical component to achieving regional...

  1. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    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 -

  2. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    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

  3. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    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

  4. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    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

  5. Buildings Energy Data Book: 8.3 Commercial Sector Water Consumption

    Buildings Energy Data Book [EERE]

    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

  6. Buildings Energy Data Book: 8.3 Commercial Sector Water Consumption

    Buildings Energy Data Book [EERE]

    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

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

    SciTech Connect (OSTI)

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

    2008-06-16

    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.

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

    SciTech Connect (OSTI)

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

    2014-06-18

    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 PNNL’s ImSET model, a modeling framework that PNNL has used over the past two decades to assess

  9. 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. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    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

  11. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    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%

  12. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    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%

  13. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    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%

  14. Table 8.11d Electric Net Summer Capacity: Commercial and Industrial Sectors, 1989-2011 (Subset of Table 8.11a; Kilowatts)

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

    d Electric Net Summer Capacity: Commercial and Industrial Sectors, 1989-2011 (Subset of Table 8.11a; Kilowatts) Year Fossil Fuels Nuclear Electric Power Hydro- electric Pumped Storage Renewable Energy Other 8 Total Coal 1 Petroleum 2 Natural Gas 3 Other Gases 4 Total Conventional Hydroelectric Power Biomass Geo- thermal Solar/PV 7 Wind Total Wood 5 Waste 6 Commercial Sector 9<//td> 1989 258,193 191,487 578,797 – 1,028,477 [–] – 17,942 13,144 166,392 [–] – – 197,478 – 1,225,955 1990

  15. A High-Resolution Spatially Explicit Monte-Carlo Simulation Approach to Commercial and Residential Electricity and Water Demand Modeling

    SciTech Connect (OSTI)

    Morton, April M; McManamay, Ryan A; Nagle, Nicholas N; Piburn, Jesse O; Stewart, Robert N; Surendran Nair, Sujithkumar

    2016-01-01

    Abstract As urban areas continue to grow and evolve in a world of increasing environmental awareness, the need for high resolution spatially explicit estimates for energy and water demand has become increasingly important. Though current modeling efforts mark significant progress in the effort to better understand the spatial distribution of energy and water consumption, many are provided at a course spatial resolution or rely on techniques which depend on detailed region-specific data sources that are not publicly available for many parts of the U.S. Furthermore, many existing methods do not account for errors in input data sources and may therefore not accurately reflect inherent uncertainties in model outputs. We propose an alternative and more flexible Monte-Carlo simulation approach to high-resolution residential and commercial electricity and water consumption modeling that relies primarily on publicly available data sources. The method s flexible data requirement and statistical framework ensure that the model is both applicable to a wide range of regions and reflective of uncertainties in model results. Key words: Energy Modeling, Water Modeling, Monte-Carlo Simulation, Uncertainty Quantification Acknowledgment This manuscript has been authored by employees of UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. Department of Energy. Accordingly, the United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.

  16. COMMERCIALIZING

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (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 has facilitated teaming with them on Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) efforts that develop cutting-edge technology in the areas of precision pointing and inertial measurement." Dan Gillings President Applied Technology Associates NMSBA reduced my

  17. Commercial Sector Program Updates

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Share AND WE KNOW WHERE IT IS 4 6-YEAR Economic Potential 19% 1% 26% 44% 1% 1% 7% 1% Electronics Food Preparation HVAC Lighting MotorsDrives Process Loads Refrigeration Water...

  18. Energy Demand (released in AEO2010)

    Reports and Publications (EIA)

    2010-01-01

    Growth in U.S. energy use is linked to population growth through increases in demand for housing, commercial floorspace, transportation, manufacturing, and services. This affects not only the level of energy use, but also the mix of fuels and consumption by sector.

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

    SciTech Connect (OSTI)

    Piette, Mary Ann

    2010-02-02

    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/

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

    ScienceCinema (OSTI)

    Piette, Mary Ann [Director, Demand Response Research Center

    2011-06-08

    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/

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  2. 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 (OSTI)

    Not Available

    1994-10-01

    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.

  3. DemandDirect | Open Energy Information

    Open Energy Info (EERE)

    DemandDirect Place: Woodbury, Connecticut Zip: 6798 Sector: Efficiency, Renewable Energy, Services Product: DemandDirect provides demand response, energy efficiency, load...

  4. Commercial Marketing Toolkit

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (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...

  5. EIA projections of coal supply and demand

    SciTech Connect (OSTI)

    Klein, D.E.

    1989-10-23

    Contents of this report include: EIA projections of coal supply and demand which covers forecasted coal supply and transportation, forecasted coal demand by consuming sector, and forecasted coal demand by the electric utility sector; and policy discussion.

  6. Honeywell Demonstrates Automated Demand Response Benefits for...

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

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

  7. Analysis of residential, industrial and commercial sector responses to potential electricity supply constraints in the 1990s

    SciTech Connect (OSTI)

    Fisher, Z.J.; Fang, J.M.; Lyke, A.J.; Krudener, J.R.

    1986-09-01

    There is considerable debate over the ability of electric generation capacity to meet the growing needs of the US economy in the 1990s. This study provides new perspective on that debate and examines the possibility of power outages resulting from electricity supply constraints. Previous studies have focused on electricity supply growth, demand growth, and on the linkages between electricity and economic growth. This study assumes the occurrence of electricity supply shortfalls in the 1990s and examines the steps that homeowners, businesses, manufacturers, and other electricity users might take in response to electricity outages.

  8. Natural Gas Infrastructure Implications of Increased Demand from...

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

    Natural Gas Infrastructure Implications of Increased Demand from the Electric Sector Natural Gas Infrastructure Implications of Increased Demand from the Electric Sector This ...

  9. Table 11.2b Carbon Dioxide Emissions From Energy Consumption: Commercial Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide )

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

    b Carbon Dioxide Emissions From Energy Consumption: Commercial Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide 1) Year Coal Natural Gas 3 Petroleum Retail Electricity 7 Total 2 Biomass 2 Distillate Fuel Oil 4 Kerosene LPG 5 Motor Gasoline 6 Petroleum Coke Residual Fuel Oil Total Wood 8 Waste 9 Fuel Ethanol 10 Total 1949 148 19 16 3 2 7 NA 28 55 58 280 2 NA NA 2 1950 147 21 19 3 2 7 NA 33 66 63 297 2 NA NA 2 1951 125 25 21 4 3 8 NA 34 70 69 289 2 NA NA 2 1952 112 28 22 4 3 8 NA 35 71 73

  10. Table 8.6c Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Commercial and Industrial Sectors, 1989-2011 (Subset of Table 8.6a)

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

    c Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Commercial and Industrial Sectors, 1989-2011 (Subset of Table 8.6a) Year Coal 1 Petroleum Natural Gas 6 Other Gases 7 Biomass Other 10 Distillate Fuel Oil 2 Residual Fuel Oil 3 Other Liquids 4 Petroleum Coke 5 Total 5 Wood 8 Waste 9 Short Tons Barrels Short Tons Barrels Thousand Cubic Feet Billion Btu Billion Btu Billion Btu Commercial Sector 11<//td> 1989 711,212 202,091 600,653 – –

  11. Property:DeploymentSector | Open Energy Information

    Open Energy Info (EERE)

    search Property Name DeploymentSector Property Type String Description Depolyment Sector as used in cleanenergysolutions.org Allows the following values: Commercial...

  12. Overview of Commercial Buildings, 2003 - Trends

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

    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...

  13. Energy conservation and electricity sector liberalization: Case-studies on the development of cogeneration, wind energy and demand-side management in the Netherlands, Denmark, Germany and the United Kingdom

    SciTech Connect (OSTI)

    Slingerland, S.

    1998-07-01

    In this paper, the development of cogeneration, wind energy and demand-side management in the Netherlands, Denmark, Germany and the United Kingdom are compared. It is discussed to what extent these developments are determined by the liberalization process. Three key liberalization variables are identified: unbundling, privatization and introduction of competition. The analysis suggests that unbundling prior to introduction of full competition in generation is particularly successful in stimulating industrial cogeneration; simultaneous introduction of competition and unbundling mainly stimulates non-cogeneration gas-based capacity; and introduction of competition in itself is likely to impede the development of district-heating cogeneration. Furthermore, it is argued that development of wind energy and demand-side management are primarily dependent on the kind of support system set up by policy makers rather than on the liberalization process. Negative impacts of introduction of competition on integrated resource planning and commercial energy services could nevertheless be expected.

  14. Demand Response Analysis Tool

    Energy Science and Technology Software Center (OSTI)

    2012-03-01

    Demand Response Analysis Tool is a software developed at the Lawrence Berkeley National Laboratory. It is initially funded by Southern California Edison. Our goal in developing this tool is to provide an online, useable, with standardized methods, an analysis tool to evaluate demand and demand response performance of commercial and industrial facilities. The tool provides load variability and weather sensitivity analysis capabilities as well as development of various types of baselines. It can be usedmore » by researchers, real estate management firms, utilities, or any individuals who are interested in analyzing their demand and demand response capabilities.« less

  15. Demand Response Analysis Tool

    SciTech Connect (OSTI)

    2012-03-01

    Demand Response Analysis Tool is a software developed at the Lawrence Berkeley National Laboratory. It is initially funded by Southern California Edison. Our goal in developing this tool is to provide an online, useable, with standardized methods, an analysis tool to evaluate demand and demand response performance of commercial and industrial facilities. The tool provides load variability and weather sensitivity analysis capabilities as well as development of various types of baselines. It can be used by researchers, real estate management firms, utilities, or any individuals who are interested in analyzing their demand and demand response capabilities.

  16. Table 8.3c Useful Thermal Output at Combined-Heat-and-Power Plants: Commercial and Industrial Sectors, 1989-2011 (Subset of Table 8.3a; Billion Btu)

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

    c Useful Thermal Output at Combined-Heat-and-Power Plants: Commercial and Industrial Sectors, 1989-2011 (Subset of Table 8.3a; Billion Btu) Year Fossil Fuels Renewable Energy Other 7 Total Coal 1 Petroleum 2 Natural Gas 3 Other Gases 4 Total Biomass Total Wood 5 Waste 6 Commercial Sector 8<//td> 1989 13,517 3,896 9,920 102 27,435 145 10,305 10,450 – 37,885 1990 14,670 5,406 15,515 118 35,709 387 10,193 10,580 – 46,289 1991 15,967 3,684 20,809 118 40,578 169 8,980 9,149 1 49,728 1992

  17. Sector Collaborative on Energy Efficiency

    SciTech Connect (OSTI)

    none,

    2008-06-01

    Helps stakeholders identify and act on cost-effective opportunities for expanding energy efficiency resources in the hospitality, retail, commercial real estate, grocery, and municipal sectors.

  18. Trends in Commercial Buildings--Introduction

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

    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...

  19. Demand Reduction

    Broader source: Energy.gov [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...

  20. Residential Demand Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Model Documentation - 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.

  1. Flathead Electric Cooperative- Commercial Lighting Rebate Program

    Office of Energy Efficiency and Renewable Energy (EERE)

    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...

  2. Hawaii demand-side management resource assessment. Final report, Reference Volume 4: The DBEDT DSM assessment model user`s manual

    SciTech Connect (OSTI)

    1995-04-01

    The DBEDT DSM Assessment Model (DSAM) is a spreadsheet model developed in Quattro Pro for Windows that is based on the integration of the DBEDT energy forecasting model, ENERGY 2020, with the output from the building energy use simulation model, DOE-2. DOE-2 provides DSM impact estimates for both energy and peak demand. The ``User`s Guide`` is designed to assist DBEDT staff in the operation of DSAM. Supporting information on model structure and data inputs are provided in Volumes 2 and 3 of the Final Report. DSAM is designed to provide DBEDT estimates of the potential DSM resource for each county in Hawaii by measure, program, sector, year, and levelized cost category. The results are provided for gas and electric and for both energy and peak demand. There are two main portions of DSAM, the residential sector and the commercial sector. The basic underlying logic for both sectors are the same. However, there are some modeling differences between the two sectors. The differences are primarily the result of (1) the more complex nature of the commercial sector, (2) memory limitations within Quattro Pro, and (3) the fact that the commercial sector portion of the model was written four months after the residential sector portion. The structure for both sectors essentially consists of a series of input spreadsheets, the portion of the model where the calculations are performed, and a series of output spreadsheets. The output spreadsheets contain both detailed and summary tables and graphs.

  3. Model Documentation Report: Residential Sector Demand Module...

    Gasoline and Diesel Fuel Update (EIA)

    The penetration rate for central air-conditioning is estimated by means of time series analysis of RECS survey data. Water Heating: Solar Water Heaters Market shares for solar...

  4. Model Documentation Report: Industrial Sector Demand Module...

    Gasoline and Diesel Fuel Update (EIA)

    factors are multiplicative for all fuels which have values greater than zero and are additive otherwise. The equation for total industrial electricity consumption is below....

  5. Model Documentation Report: Residential Sector Demand Module...

    Gasoline and Diesel Fuel Update (EIA)

    Stoves Geothermal Heat Pump Natural Gas Heat Pump Variables: HSYSSHR 2006,eg,b,r Benchmarking Data from Short-Term Energy Outlook Definition: Household energy consumption by...

  6. Model Documentation Report: Residential Sector Demand Module...

    Gasoline and Diesel Fuel Update (EIA)

    Stoves Geothermal Heat Pump Natural Gas Heat Pump Variables: HSYSSHR 2001,eg,b,r Benchmarking Data from Short-Term Energy Outlook Definition: Household energy consumption by...

  7. Hawaii demand-side management resource assessment. Final report, Reference Volume 2: Final residential and commercial building prototypes and DOE-2.1E developed UECs and EUIs; Part 3

    SciTech Connect (OSTI)

    1995-04-01

    This section contains the detailed measured impact results and market segment data for each DSM case examined for this building type. A complete index of all base and measure cases defined for this building type is shown first. This index represents an expansion of the base and measure matrix presented in Table 1 (residential) or Table 2 (commercial) for the applicable sector. Following this index, a summary report sheet is provided for each DSM measure case in the order shown in the index. The summary report sheet contains a host of information and selected graphs which define and depict the measure impacts and outline the market segment data assumptions utilized for each case in the DBEDT DSM Forecasting models. The variables and figures included in the summary report sheet are described. Numerous tables and figures are included.

  8. Electricity savings potentials in the residential sector of Bahrain

    SciTech Connect (OSTI)

    Akbari, H.; Morsy, M.G.; Al-Baharna, N.S.

    1996-08-01

    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.

  9. Demand Response

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

    Demand Response Assessment for Eastern Interconnection Youngsun Baek, Stanton W. Hadley, Rocio Martinez, Gbadebo Oladosu, Alexander M. Smith, Fran Li, Paul Leiby and Russell Lee ...

  10. Report: Natural Gas Infrastructure Implications of Increased Demand from

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

    the Electric Power Sector | Department of Energy Natural Gas Infrastructure Implications of Increased Demand from the Electric Power Sector Report: Natural Gas Infrastructure Implications of Increased Demand from the Electric Power Sector 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. To perform this

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

    SciTech Connect (OSTI)

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

    2009-07-01

    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.

  12. Commercial Buildings Characteristics, 1992

    SciTech Connect (OSTI)

    Not Available

    1994-04-29

    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.

  13. Demand Response Quick Assessment Tool

    Energy Science and Technology Software Center (OSTI)

    2008-12-01

    DRQAT (Demand Response Quick Assessment Tool) is the tool for assessing demand response saving potentials for large commercial buildings. This tool is based on EnergyPlus simulations of prototypical buildings and HVAC equipment. The opportunities for demand reduction and cost savings with building demand responsive controls vary tremendously with building type and location. The assessment tools will predict the energy and demand savings, the economic savings, and the thermal comfor impact for various demand responsive strategies.more » Users of the tools will be asked to enter the basic building information such as types, square footage, building envelope, orientation, utility schedule, etc. The assessment tools will then use the prototypical simulation models to calculate the energy and demand reduction potential under certain demand responsive strategies, such as precooling, zonal temperature set up, and chilled water loop and air loop set points adjustment.« less

  14. End-Use Sector Flowchart

    Broader source: Energy.gov [DOE]

    This system of energy intensity indicators for total energy covers the economy as a whole and each of the major end-use sectors—transportation, industry, commercial and residential—identified in Figure 1. By clicking on any of the boxes with the word "Sector" in the title will reveal the more detailed structure within that sector.

  15. Sector 9

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Sector 9 About Science and Research Beamlines Operations and Schedule Safety Search APS ... Search Argonne Home > Advanced Photon Source > Contacts Advisory Committee Beamlines...

  16. Commercialization of clean coal technologies

    SciTech Connect (OSTI)

    Bharucha, N.

    1994-12-31

    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.

  17. Text-Alternative Version: LED Site Lighting in the Commercial...

    Energy Savers [EERE]

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

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

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

    Energy Asset Score - 2014 BTO Peer Review Commercial Building Energy Asset Score - 2014 ... energy efficiency in the commercial building sector is that building owners and ...

  19. Agriculture Sector

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Commercial Industrial Federal Agriculture SIS Variable Frequency Drives Irrigation Pump Testing Irrigation Hardware Upgrades LESA Agricultural Marketing Toolkit BPA's...

  20. Demand Response Energy Consulting LLC | Open Energy Information

    Open Energy Info (EERE)

    Response Energy Consulting LLC Jump to: navigation, search Name: Demand Response & Energy Consulting LLC Place: Delanson, New York Zip: NY 12053 Sector: Efficiency Product:...

  1. Commercial Sector Financing Needs and Opportunities | Department...

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

    buildings such as offices, malls, hotels, and retail stores, along with nonprofit facilities (private nonprofit hospitals, schools, higher education, YMCAs, museums, etc.). ...

  2. Mora Municipal Utilities - Commercial & Industrial Energy Efficiency...

    Broader source: Energy.gov (indexed) [DOE]

    Commercial Refrigeration Equipment Program Info Sector Name Utility Administrator Mora Municipal Utilities Website http:www.SaveEnergyInMora.com State Minnesota Program...

  3. Wells Public Utilities - Commercial & Industrial Energy Efficiency...

    Broader source: Energy.gov (indexed) [DOE]

    Commercial Refrigeration Equipment Program Info Sector Name Utility Administrator Wells Public Utilities Website http:www.SaveEnergyInWells.com State Minnesota Program Type...

  4. Redding Electric - Residential and Commercial Energy Efficiency...

    Broader source: Energy.gov (indexed) [DOE]

    REU for Commercial Program Info Sector Name Utility Administrator Redding Electric Utility Website http:www2.reupower.comrebates.asp State California Program Type Rebate...

  5. Idaho Power - Commercial Custom Efficiency Program | Department...

    Broader source: Energy.gov (indexed) [DOE]

    Commercial Refrigeration Equipment Program Info Sector Name Utility Administrator Idaho Power Company Website http:www.idahopower.comEnergyEfficiencyBusinessPrograms...

  6. Longmont Power & Communications - Residential and Commercial...

    Broader source: Energy.gov (indexed) [DOE]

    50 per appliance Residential: 1 clothes washer and 1 dishwasher per year Commercial: 3 clothes washers and 3 dishwashers per year Program Info Sector Name Utility...

  7. Federal Sector

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    News & Events Skip navigation links Residential Commercial Industrial Federal Agriculture About five percent of BPA's total electric supply goes to power facilities around...

  8. Best Management Practice #11: Commercial Kitchen Equipment

    Broader source: Energy.gov [DOE]

    Commercial kitchen equipment can be a significant water use in the non-residential sector. Water efficiency for commercial kitchen equipment is especially important because high-volume applications...

  9. Interim Data Changes in the Short-term Energy Outlook Data Systems Related to Electric Power Sector and Natural Gas Demand Data Revisions (Released in the STEO December 2002)

    Reports and Publications (EIA)

    2002-01-01

    Beginning with the December 2002 issue of the Energy Information Administration's Short-Term Energy Outlook (STEO), electricity generation and related fuel consumption totals will be presented on a basis that is consistent with the definitions and aggregates used in the 2001 edition of EIA's Annual Energy Review (AER). Particularly affected by these changes are the demand and balancing item totals for natural

  10. World Energy Projection System Plus Model Documentation: Commercial Model

    Reports and Publications (EIA)

    2016-01-01

    The Commercial Model of the World Energy Projection System Plus (WEPS ) is an energy demand modeling system of the world commercial end?use sector at a regional level. This report describes the version of the Commercial Model that was used to produce the commercial sector projections published in the International Energy Outlook 2016 (IEO2016). The Commercial Model is one of 13 components of the WEPS system. The WEPS is a modular system, consisting of a number of separate energy models that are communicate and work with each other through an integrated system model. The model components are each developed independently, but are designed with well?defined protocols for system communication and interactivity. The WEPS modeling system uses a shared database (the “restart” file) that allows all the models to communicate with each other when they are run in sequence over a number of iterations. The overall WEPS system uses an iterative solution technique that forces convergence of consumption and supply pressures to solve for an equilibrium price.

  11. Energy Intensity Indicators: Indicators for Major Sectors | Department of

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

    Energy for Major Sectors Energy Intensity Indicators: Indicators for Major Sectors This system of energy intensity indicators for total energy covers the economy as a whole and each of the major end-use sectors - transportation, industry, commercial, and residential, as well as the electric power sector. These sectors are shown in Figure 1. Please go to the menu below the figure to see a more detailed discussion of historical trends in the energy intensity indicator for a particular sector.

  12. Nationwide Analysis of U.S. Commercial Building Solar Photovoltaic (PV) Breakeven Conditions

    SciTech Connect (OSTI)

    Davidson, Carolyn; Gagnon, Pieter; Denholm, Paul; Margolis, Robert

    2015-10-01

    The commercial sector offers strong potential for solar photovoltaics (PV) owing to abundant available roof space suitable for PV and the opportunity to offset the sector's substantial retail electricity purchases. This report evaluated the breakeven price of PV for 15 different building types and various financing options by calculating electricity savings based on detailed rate structures for most U.S. utility territories (representing approximately two thirds of U.S. commercial customers). We find that at current capital costs, an estimated 1/3 of U.S. commercial customers break even in the cash scenario and approximately 2/3 break even in the loan scenario. Variation in retail rates is a stronger driver of breakeven prices than is variation in building load or solar generation profiles. At the building level, variation in the average breakeven price is largely driven by the ability for a PV system to reduce demand charges.

  13. Solar energy research and development: federal and private sector roles

    SciTech Connect (OSTI)

    Not Available

    1982-09-01

    The Energy Research Advisory Board convened a Solar R and D Panel to determine the status of the solar industry and solar R and D in the United States and to recommend to DOE appropriate roles for the Federal and private sectors. The Panel's report acknowledges the new Administration policy reorienting the Federal role in energy development to long-term, high-risk, high-payoff R and D, and leaving commercialization to the private sector. The Panel's recommendations are further predicated on an assumption of continued, substantially reduced funding in the near-term. The Panel found that solar energy technologies have progressed significantly in the past 10 years and represent a group of highly promising energy options for the United States. However, it also found the solar industry to be in a precarious condition, fluctuating energy demand and prices, and uncertain Federal tax and regulatory policies. The Business Energy and Residential Tax Credits are essential to the near-term health of the solar industry. Commercialization has already begun for some solar technologies; for others, decreases in Federal funding will result in a slowdown or termination. The primary Federal roles in solar R and D should be in support of basic and applied research, high-risk, high-payoff technology development and other necessary research for which there are insufficient market incentives. The Federal Government should also move strongly to transfer technology to the private sector for near-commerical technologies. Large demonstration and commercialization projects cannot be justified for Federal funding under current economic conditions. These should be pursued by the private sector. The Panel examined seven technology areas and made specific findings and recommendations for each.

  14. Commercial and Industrial DSM Program Overview | Department of...

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

    Commercial and Industrial DSM Program Overview Commercial and Industrial DSM Program Overview Presentation provides an overview of PEPCO and Delmarva Power's demand side management...

  15. commercial buildings initiative | netl.doe.gov

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Commercial Buildings Initiative The DOE Building Technologies Office works with the commercial building industry to accelerate the use of energy efficiency technologies in both existing and new commercial buildings. The DOE Building Technologies Office strives to reduce energy consumption across the commercial building sector by developing, demonstrating and deploying cost-effective solutions. Commercial Buildings Initiative: http://www1.eere.energy.gov/buildings/commercial/index.html

  16. Home Network Technologies and Automating Demand Response

    SciTech Connect (OSTI)

    McParland, Charles

    2009-12-01

    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

  17. Thermal energy storage for cooling of commercial buildings

    SciTech Connect (OSTI)

    Akbari, H. ); Mertol, A. )

    1988-07-01

    The storage of coolness'' has been in use in limited applications for more than a half century. Recently, because of high electricity costs during utilities' peak power periods, thermal storage for cooling has become a prime target for load management strategies. Systems with cool storage shift all or part of the electricity requirement from peak to off-peak hours to take advantage of reduced demand charges and/or off-peak rates. Thermal storage technology applies equally to industrial, commercial, and residential sectors. In the industrial sector, because of the lack of economic incentives and the custom design required for each application, the penetration of this technology has been limited to a few industries. The penetration rate in the residential sector has been also very limited due to the absence of economic incentives, sizing problems, and the lack of compact packaged systems. To date, the most promising applications of these systems, therefore, appear to be for commercial cooling. In this report, the current and potential use of thermal energy storage systems for cooling commercial buildings is investigated. In addition, a general overview of the technology is presented and the applicability and cost-effectiveness of this technology for developed and developing countries are discussed. 28 refs., 12 figs., 1 tab.

  18. Commercial Building Partnership Retail Food Sales Energy Savings Overview

    SciTech Connect (OSTI)

    2013-03-01

    The Commercial Building Partnership (CBP) paired selected commercial building owners and operators with representatives of DOE, national laboratories and private sector exports to explore energy efficiency measures across general merchandise commercial buildings.

  19. Commercial Building Partnership General Merchandise Energy Savings Overview

    SciTech Connect (OSTI)

    2013-03-01

    The Commercial Building Partnership (CBP) paired selected commercial building owners and operators with representatives of DOE, national laboratories and private sector exports to explore energy efficiency measures across general merchandise commercial buildings.

  20. Countries Launch Initiative to Drive Energy Efficiency in the Commercial

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

    and Industrial Sectors | Department of Energy Countries Launch Initiative to Drive Energy Efficiency in the Commercial and Industrial Sectors Countries Launch Initiative to Drive Energy Efficiency in the Commercial and Industrial Sectors A fact sheet on the global superior energy performance partnership from the Clean Energy Ministerial. Countries Launch Initiative to Drive Energy Efficiency in the Commercial and Industrial Sectors (123.65 KB) More Documents & Publications Countries

  1. Better Buildings Neighborhood Program Financing and Commercial...

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

    Financing and Commercial Peer Exchange Call: Strategies for Marketing and Driving Demand ... 15% usage savings of impacted space Marketing Partners Lenders, city staff, trade ally ...

  2. Commercial Weatherization

    Broader source: Energy.gov [DOE]

    Commercial buildings consume 19 percent of the energy used in the U.S. Learn how the Energy Department is supporting research and deployment on commercial weatherization.

  3. Commercial Lighting

    Broader source: Energy.gov [DOE]

    Commercial lighting accounts for more than 20 percent of total commercial building energy use. The Energy Department works to reduce lighting energy use through research and deployment.

  4. Philippines' downstream sector poised for growth

    SciTech Connect (OSTI)

    Not Available

    1992-05-11

    This paper reports that the Philippines' downstream sector is poised for sharp growth. Despite a slip in refined products demand in recent years, Philippines products demand will rebound sharply by 2000, East-West Center (EWC), Honolulu, predicts. Philippines planned refinery expansions are expected to meet that added demand, EWC Director Fereidun Fesharaki says. Like the rest of the Asia-Pacific region, product specifications are changing, but major refiners in the area expect to meet the changes without major case outlays. At the same time, Fesharaki says, push toward deregulation will further bolster the outlook for the Philippines downstream sector.

  5. The commercialization of magnetohydrodynamic electric power plants

    SciTech Connect (OSTI)

    Weinstein, R.E.

    1993-12-31

    The successful development of Magnetohydrodynamics (MHD) will provide an ultra clean, highly efficient alternative to other methods of coal-fired electric Power generation. A development path that could bring coal-fired MHD electric power plants to competitive commercial status is described in this paper. The paper discusses the scale-ups, the timing, and technical hurdles that face this technology as it progresses from its present status of small-scale demonstrations and begins its competition for electric utility acceptance. Coal-fired MHD power has at least four major markets: (1) New utility generation. (2) Utility retrofit/repowering applications. (3) New independent power production (IPP). (4) Large industrial cogeneration application. Of these, the largest market for MHD is expected to be the new electric utility/IPP generation market, those new units required to supply growth in power demand and to replace retired capacity. This market sector is the focus of this discussion. This paper describes the commercial pressures and inertias that motivate the entry of any new technology into the generation supply market. It then shows a development path that could bring coal-fired MHD electric power plants to competitive commercial status in the electric power industry.

  6. EERE Success Story—DOE Industry Partnerships Lead to Widespread Adoption of Efficient Commercial Air Conditioners

    Broader source: Energy.gov [DOE]

    Commercial air conditioners, often referred to as rooftop units (RTUs), are commonly used across commercial building sectors such as schools, restaurants, big box retailers, and small office...

  7. Hawaii demand-side management resource assessment. Final report, Reference Volume 1: Building prototype analysis

    SciTech Connect (OSTI)

    1995-04-01

    This report provides a detailed description of, and the baseline assumptions and simulation results for, the building prototype simulations conducted for the building types designated in the Work Plan for Demand-side Management Assessment of Hawaii`s Demand-Side Resources (HES-4, Phase 2). This report represents the second revision to the initial building prototype description report provided to DBEDT early in the project. Modifications and revisions to the prototypes, based on further calibration efforts and on comments received from DBEDT Staff have been incorporated into this final version. These baseline prototypes form the basis upon which the DSM measure impact estimates and the DSM measure data base were developed for this project. This report presents detailed information for each of the 17 different building prototypes developed for use with the DOE-21E program (23 buildings in total, including resorts and hotels defined separately for each island) to estimate the impact of the building technologies and measures included in this project. The remainder of this section presents some nomenclature and terminology utilized in the reports, tables, and data bases developed from this project to denote building type and vintage. Section 2 contains a more detailed discussion of the data sources, the definition of the residential sector building prototypes, and results of the DOE-2 analysis. Section 3 provides a similar discussion for the commercial sector. The prototype and baseline simulation results are presented in a separate section for each building type. Where possible, comparison of the baseline simulation results with benchmark data from the ENERGY 2020 model or other demand forecasting models specific to Hawaii is included for each building. Appendix A contains a detailed listing of the commercial sector baseline indoor lighting technologies included in the existing and new prototypes by building type.

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

    SciTech Connect (OSTI)

    Herter, Karen; Wayland, Seth; Rasin, Josh

    2009-09-25

    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

  9. A Successful Case Study of Small Business Energy Efficiency and Demand Response with Communicating Thermostats

    SciTech Connect (OSTI)

    Herter, Karen; Wayland, Seth; Rasin, Josh

    2009-08-12

    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. Overall results show that pilot participants had energy savings of 20%, and the potential for an additional 14% to 20% load drop during a 100 F demand response event. In addition to the efficiency-related bill savings, participants on the dynamic rate saved an estimated 5% on their energy costs compared to the standard rate. 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.

  10. Better Buildings Financing Energy Efficiency Retrofits in the Commercial

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

    Sector -- Part 1 | Department of Energy Financing Energy Efficiency Retrofits in the Commercial Sector -- Part 1 Better Buildings Financing Energy Efficiency Retrofits in the Commercial Sector -- Part 1 Slides from the Better Buildings webinar presented on May 4, 2011: Survey of Small Commercial Energy Efficiency Finance Programs Sponsored by State Governments Oregon Energy Loan: Financingg Oregon Energy Efficiency and Renewable Energy Abundant Power Solutions ADECA Leveraged Clean Energy

  11. ERC commercialization activities

    SciTech Connect (OSTI)

    1995-08-01

    The ERC family of companies is anticipating market entry of their first commercial product, a 2.8-MW power plant, in the second quarter of 1999. The present Cooperative Agreement provides for: (1) Commercialization planning and organizational development, (2) Completion of the pre-commercial DFC technology development, (3) Systems and plant design, (4) Manufacturing processes` scale-up to full-sized stack components and assemblies, (5) Upgrades to ERC`s test facility for full-sized stack testing, (6) Sub-scale testing of a DFC Stack and BOP fueled with landfill gas. This paper discusses the first item, that of preparing for commercialization. ERC`s formal commercialization program began in 1990 with the selection of the 2-MW Direct Fuel Cell power plant by the American Public Power Association (APPA) for promotion to the over 2000 municipal utilities comprising APPA`s segment of the utility sector. Since that beginning, the APPA core group expanded to become the Fuel Cell Commercialization Group (FCCG) which includes representation from all markets - utilities and other power generation equipment buyers.

  12. Austin Utilities (Gas and Electric) - Commercial and Industrial...

    Broader source: Energy.gov (indexed) [DOE]

    commercial location per year, 5,000 per industrial location per year Program Info Sector Name Utility Administrator Austin Utilities Website http:www.austinutilities.compages...

  13. Energy Savings Potential and R&D Opportunities for Commercial...

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

    ... 197 Appendix B Electricity Rate Data ... U.S. Primary Energy Consumption by Sector, 2006 ... of Commercial Buildings by End Use, 2006......

  14. Purchasing Energy-Efficient Commercial Refrigerators and Freezers...

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

    are covered by separate ENERGY STAR requirements. In the federal sector, commercial refrigerators and ... Incorporate Federal Acquisition Regulation Language in Contracts ...

  15. Microsoft Word - Final AEO2007 Commercial Doc.doc

    Gasoline and Diesel Fuel Update (EIA)

    the State Energy Data System (SEDS) historical commercial sector consumption, applying an additive correction term to ensure that simulated model results correspond to published...

  16. Moorhead Public Service Utility - Commercial and Industrial Energy...

    Broader source: Energy.gov (indexed) [DOE]

    Personal Computing Equipment Commercial Refrigeration Equipment Program Info Sector Name Utility Administrator Moorhead Public ServiceBright Energy Solutions Website http:...

  17. District of Columbia Natural Gas Percent Sold to The Commercial...

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

    by Local Distribution Companies (Percent) District of Columbia Natural Gas Percent Sold to The Commercial Sectors by Local Distribution Companies (Percent) Decade Year-0 ...

  18. District of Columbia Price of Natural Gas Delivered to Commercial...

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

    Local Distributor Companies (Dollars per Thousand Cubic Feet) District of Columbia Price of Natural Gas Delivered to Commercial Sectors by Local Distributor Companies (Dollars per ...

  19. Midstate Electric Cooperative- Commercial and Industrial Energy Efficiency Rebate Program

    Broader source: Energy.gov [DOE]

    Midstate Electric Cooperative (MEC) encourages energy efficiency in the commercial and industrial sectors by giving customers a choice of several different financial incentive programs. First, ...

  20. Projecting Electricity Demand in 2050

    SciTech Connect (OSTI)

    Hostick, Donna J.; Belzer, David B.; Hadley, Stanton W.; Markel, Tony; Marnay, Chris; Kintner-Meyer, Michael C. W.

    2014-07-01

    This paper describes the development of end-use electricity projections and load curves that were developed for the Renewable Electricity (RE) Futures Study (hereafter RE Futures), which explored the prospect of higher percentages (30% - 90%) of total electricity generation that could be supplied by renewable sources in the United States. As input to RE Futures, two projections of electricity demand were produced representing reasonable upper and lower bounds of electricity demand out to 2050. The electric sector models used in RE Futures required underlying load profiles, so RE Futures also produced load profile data in two formats: 8760 hourly data for the year 2050 for the GridView model, and in 2-year increments for 17 time slices as input to the Regional Energy Deployment System (ReEDS) model. The process for developing demand projections and load profiles involved three steps: discussion regarding the scenario approach and general assumptions, literature reviews to determine readily available data, and development of the demand curves and load profiles.

  1. High-performance commercial building systems

    SciTech Connect (OSTI)

    Selkowitz, Stephen

    2003-10-01

    This report summarizes key technical accomplishments resulting from the three year PIER-funded R&D program, ''High Performance Commercial Building Systems'' (HPCBS). The program targets the commercial building sector in California, an end-use sector that accounts for about one-third of all California electricity consumption and an even larger fraction of peak demand, at a cost of over $10B/year. Commercial buildings also have a major impact on occupant health, comfort and productivity. Building design and operations practices that influence energy use are deeply engrained in a fragmented, risk-averse industry that is slow to change. Although California's aggressive standards efforts have resulted in new buildings designed to use less energy than those constructed 20 years ago, the actual savings realized are still well below technical and economic potentials. The broad goal of this program is to develop and deploy a set of energy-saving technologies, strategies, and techniques, and improve processes for designing, commissioning, and operating commercial buildings, while improving health, comfort, and performance of occupants, all in a manner consistent with sound economic investment practices. Results are to be broadly applicable to the commercial sector for different building sizes and types, e.g. offices and schools, for different classes of ownership, both public and private, and for owner-occupied as well as speculative buildings. The program aims to facilitate significant electricity use savings in the California commercial sector by 2015, while assuring that these savings are affordable and promote high quality indoor environments. The five linked technical program elements contain 14 projects with 41 distinct R&D tasks. Collectively they form a comprehensive Research, Development, and Demonstration (RD&D) program with the potential to capture large savings in the commercial building sector, providing significant economic benefits to building owners and

  2. Commercial / Industrial Lighting

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    New Commercial Program Development Commercial Current Promotions Industrial Federal Agriculture Commercial & Industrial Lighting Efficiency Program The Commercial & Industrial...

  3. Demand Response | Department of Energy

    Energy Savers [EERE]

    Technology Development Smart Grid Demand Response Demand Response Demand Response Demand response provides an opportunity for consumers to play a significant role in the ...

  4. Transportation Sector Demand Module of the National Energy Modeling...

    Gasoline and Diesel Fuel Update (EIA)

    and historic yearly values for car prices at different production levels by applying an additive adjustment to the price of a gasoline-fueled vehicle. a) Car and Light Truck at...

  5. Industrial Sector Demand Module of the National Energy Modeling...

    Gasoline and Diesel Fuel Update (EIA)

    factors are multiplicative for all fuels which have values greater than zero and are additive otherwise. ( ) ( ) ( ) ( ) ( ) ( ) - - - fg...

  6. Residential Sector Demand Module of the National Energy Modeling...

    Gasoline and Diesel Fuel Update (EIA)

    Stoves Geothermal Heat Pump Natural Gas Heat Pump Variables: HSYSSHR 2001,eg,b,r Benchmarking Data from Short-Term Energy Outlook Definition: Household energy consumption by...

  7. Buildings sector demand-side efficiency technology summaries

    SciTech Connect (OSTI)

    Koomey, J.G.; Johnson, F.X.; Schuman, J.

    1994-03-01

    This report provides descriptions of the following energy efficiency technologies: energy management systems; electronic fluorescent ballasts; compact fluorescent lamps; lighting controls; room air conditioners; high albedo materials, coatings and paints; solar domestic water heaters; heat pump water heaters; energy-efficient motors; adjustable-speed drives; energy-efficient refrigerators; daylight control glazing; insulating glazing; solar control glazing; switchable glazing; tree planting; and advanced insulation. For each technology, the report provides a description of performance characteristics, consumer utility, development status, technology standards, equipment cost, installation, maintenance, conservation programs, and environmental impacts.

  8. Using Partnerships to Drive Demand and Provide Services in Communities |

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

    Department of Energy Partnerships to Drive Demand and Provide Services in Communities Using Partnerships to Drive Demand and Provide Services in Communities Better Buildings Neighborhood Program Multifamily and Low-Income Peer Exchange Call: Using Partnerships to Drive Demand and Provide Services in Communities, February 2, 2012. Call Slides and Discussion Summary (1.47 MB) More Documents & Publications Strategies for Marketing and Driving Demand for Commercial Financing Products

  9. Electricity demand in a developing country. [Paraguay

    SciTech Connect (OSTI)

    Westley, G.D.

    1984-08-01

    This study analyzes the residential and commercial demand for electricity in ten regions in Paraguay for 1970-1977. Models that are both linear and nonlinear in the parameters are estimated. The nonlinear model takes advantage of prior information on the nature of the appliances being utilized and simultaneously deals with the demand discontinuities caused by appliance indivisibility. Three dynamic equations, including a novel cumulative adjustment model, all indicate rapid adjustment to desired appliance stock levels. Finally, the multiproduct surplus loss obtained from an estimated demand equation is used to measure the welfare cost of power outages. 15 references.

  10. Commercial Buildings High Performance Rooftop Unit Challenge

    SciTech Connect (OSTI)

    2011-12-16

    The U.S. Department of Energy (DOE) and the Commercial Building Energy Alliances (CBEAs) are releasing a new design specification for high performance rooftop air conditioning units (RTUs). Manufacturers who develop RTUs based on this new specification will find strong interest from the commercial sector due to the energy and financial savings.

  11. U.S. Regional Demand Forecasts Using NEMS and GIS

    SciTech Connect (OSTI)

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

    2005-07-01

    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.

  12. Oklahoma Municipal Power Authority- Commercial and Industrial Energy Efficiency Program

    Broader source: Energy.gov [DOE]

    The Oklahoma Municipal Power Authority (OMPA) offers the Demand and Energy Efficiency Program (DEEP) to eligible commercial, industrial, and municipal government customers served by OMPA. This...

  13. Demand Responsive Lighting: A Scoping Study

    SciTech Connect (OSTI)

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-03

    The objective of this scoping study is: (1) to identify current market drivers and technology trends that can improve the demand responsiveness of commercial building lighting systems and (2) to quantify the energy, demand and environmental benefits of implementing lighting demand response and energy-saving controls strategies Statewide. Lighting systems in California commercial buildings consume 30 GWh. Lighting systems in commercial buildings often waste energy and unnecessarily stress the electrical grid because lighting controls, especially dimming, are not widely used. But dimmable lighting equipment, especially the dimming ballast, costs more than non-dimming lighting and is expensive to retrofit into existing buildings because of the cost of adding control wiring. Advances in lighting industry capabilities coupled with the pervasiveness of the Internet and wireless technologies have led to new opportunities to realize significant energy saving and reliable demand reduction using intelligent lighting controls. Manufacturers are starting to produce electronic equipment--lighting-application specific controllers (LAS controllers)--that are wirelessly accessible and can control dimmable or multilevel lighting systems obeying different industry-accepted protocols. Some companies make controllers that are inexpensive to install in existing buildings and allow the power consumed by bi-level lighting circuits to be selectively reduced during demand response curtailments. By intelligently limiting the demand from bi-level lighting in California commercial buildings, the utilities would now have an enormous 1 GW demand shed capability at hand. By adding occupancy and light sensors to the remotely controllable lighting circuits, automatic controls could harvest an additional 1 BkWh/yr savings above and beyond the savings that have already been achieved. The lighting industry's adoption of DALI as the principal wired digital control protocol for dimming ballasts and

  14. Dams and Energy Sectors Interdependency Study, September 2011 | Department

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

    of Energy 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

  15. Open Automated Demand Response for Small Commerical Buildings

    SciTech Connect (OSTI)

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

    2009-05-01

    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.

  16. Demand Dispatch-Intelligent

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... Contract: DE-FE0004001 Demand Dispatch- ... ISO Independent System Operators LMP Locational Marginal Price MW Mega-watt MWh ... today My generator may come on and off ...

  17. Managing Increased Charging Demand

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

    Managing Increased Charging Demand Carrie Giles ICF International, Supporting the Workplace Charging Challenge Workplace Charging Challenge Do you already own an EV? Are you...

  18. Residential Demand Response

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    in-home displays with controllable home area network capabilities and thermal storage devices for home heating. Goals and objectives: Reduce the City's NCP demand above...

  19. Agricultural and Industrial Process-Heat-Market Sector workbook

    SciTech Connect (OSTI)

    Shulman, M. J.; Kannan, N. P.; deJong, D. L.

    1980-01-01

    This workbook summarizes the preliminary data and assumptions of the Agricultural and Industrial Process Heat Market Sector prepared in conjunction with the development of inputs for a National Plan for the Accelerated Commercialization of Solar Energy.

  20. Table 3. Top five retailers of electricity, with end use sectors...

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

    Washington" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Puget Sound Energy Inc","Investor-owned",20568948...

  1. Table 3. Top five retailers of electricity, with end use sectors...

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

    Minnesota" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Northern States Power Co - Minnesota","Investor-ow...

  2. Table 3. Top five retailers of electricity, with end use sectors...

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

    Dakota" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Northern States Power Co - Minnesota","Investor-owned...

  3. Table 3. Top five retailers of electricity, with end use sectors...

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

    Iowa" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"MidAmerican Energy Co","Investor-owned",20585461,570529...

  4. Table 3. Top five retailers of electricity, with end use sectors...

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

    Montana" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"NorthWestern Energy LLC - (MT)","Investor-owned",597...

  5. Table 3. Top five retailers of electricity, with end use sectors...

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

    Kansas" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Westar Energy Inc","Investor-owned",9973395,3434301,4...

  6. Table 3. Top five retailers of electricity, with end use sectors...

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

    Carolina" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Duke Energy Carolinas, LLC","Investor-owned",567506...

  7. Table 3. Top five retailers of electricity, with end use sectors...

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

    Ohio" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"First Energy Solutions Corp.","Investor-owned",41994756...

  8. Table 3. Top five retailers of electricity, with end use sectors...

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

    Pennsylvania" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"First Energy Solutions Corp.","Investor-owned",...

  9. Table 3. Top five retailers of electricity, with end use sectors...

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

    Indiana" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Duke Energy Indiana Inc","Investor-owned",28224148,9...

  10. Table 3. Top five retailers of electricity, with end use sectors...

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

    Texas" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Reliant Energy Retail Services","Investor-owned",38670...

  11. Commercial Current Promotions

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    New Commercial Program Development Commercial Current Promotions Industrial Federal Agriculture This page features all current special promotions for commercial programs....

  12. Grid Integration of Aggregated Demand Response, Part 2: Modeling Demand Response in a Production Cost Model

    SciTech Connect (OSTI)

    Hummon, Marissa; Palchak, David; Denholm, Paul; Jorgenson, Jennie; Olsen, Daniel J.; Kiliccote, Sila; Matson, Nance; Sohn, Michael; Rose, Cody; Dudley, Junqiao; Goli, Sasank; Ma, Ookie

    2013-12-01

    This report is one of a series stemming from the U.S. Department of Energy (DOE) Demand Response and Energy Storage Integration Study. This study is a multi-national-laboratory effort to assess the potential value of demand response (DR) and energy storage to electricity systems with different penetration levels of variable renewable resources and to improve our understanding of associatedmarkets and institutions. This report implements DR resources in the commercial production cost model PLEXOS.

  13. Opportunities, Barriers and Actions for Industrial Demand Response in California

    SciTech Connect (OSTI)

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

    2008-01-31

    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

  14. Electric energy sector in Argentina

    SciTech Connect (OSTI)

    Bastos, C.M.

    1994-06-01

    This article describes how the organization of the electric energy sector in Argentina has changed dramatically from a sector in which state-owned companies worked under a central planning to one in which private companies make their own decisions. The way that the electrical system used to work can be shown by these statements: demand growth estimated by central planning team; projects to be developed and the timetable determined by the same team; unit operations ruled by central dispatch, and under state-owned companies responsibility; integration with neighbor countries focused on physical projects, such as Salto Grande with Uruguay and Yacyreta with Paraguay. Today the electrical system works under these rules: the system has been vertically separated and the companies cannot be integrated; electric energy is considered as an ordinary wealth and the value that consumers give it is taken into account, (the distribution companies pay consumers a penalty for the energy that they cannot supply, the penalty is worth the economic damage consumers suffer due to its lack); producers have to compete for demand. They can sell in two ways: sell under private agreements or sell to the system. Both ways of selling compete with each other because the system buys giving priority to lower costs and, as a consequence, some of the producers do not sell at all.

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

    SciTech Connect (OSTI)

    1995-08-01

    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.

  16. Commercial Demand Module of the National Energy Modeling System...

    Gasoline and Diesel Fuel Update (EIA)

    - non-PC Wood Renewables 10 Warehouse Misc. End-Use Loads (MELs) Municipal Solid Waste (MSW) 11 U.S. Total Other Hydro 12 Waste Hear Other 13 Other Gaseous Fuels (OGF)...

  17. 2014 Energy Sector Specific Plan

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

    Sector-Specific Plan Energy Sector-Specific Plan 2015 ii Page intentionally left blank Energy Sector-Specific Plan 2015 iii TABLE OF CONTENTS PREFACE ......

  18. Taiwan: An energy sector study

    SciTech Connect (OSTI)

    Johnson, T.; Fridley, D.; Kang, Wu

    1988-03-01

    A study on the economy of Taiwan, with special reference to the energy sector, revealed the following: Taiwan's rapid export-driven economic growth in the 1970s and 1980s has earned them the rank of ''Newly Industrialized Countries.'' Coal reserves measure less than 1 billion tons, and annual output has declined to below 2 million tons per year. Marginal amounts of crude are produced. Natural gas resources have been exploited both on- and offshore, through production amounts to little more than 1 billion cubic meters per year. Domestic hydrocarbon production is forecast to decline. Taiwan prssesses an estimated 5300 mW of exploitable hydropower capacity, of which 2564 mW had been installed by 1986. Taiwan has undertaken a massive program of nuclear power construction in response to the rapid rise in oil prices during the 1970s. Energy demand has risen an average of 9.0 percent per year since 1954, while real GNP has grown 8.6 percent per year. Sine 1980, oil has provided a lower share of total energy demand. Oil demand for transport has continued to grow rapidly. Declining production of domestic natural gas has led Taiwan to initiate LNG imports from Indonesia beginning in 1990. Coal has regained some of its earlier importance in Taiwan's energy structure. With declining domestic production, imports now provide nearly 90 percent of total coal demand. Taiwan is basically self-sufficient in refining capacity. Energy demand is expected to grow 5.4 percent per year through the yeat 2000. With declining output of domestic resources, energy dependency on imports will rise from its current 90 percent level. Government policy recognizes this external dependency and has directed it efforts at diversification of suppliers. 18 refs., 11 figs., 40 tabs.

  19. DOE Announces $16 Million for 54 Projects to Help Commercialize Promising

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

    Energy Technologies: Technology Commercialization Fund Will Support 12 National Labs and 58 Private Sector Partners | Department of Energy DOE Announces $16 Million for 54 Projects to Help Commercialize Promising Energy Technologies: Technology Commercialization Fund Will Support 12 National Labs and 58 Private Sector Partners DOE Announces $16 Million for 54 Projects to Help Commercialize Promising Energy Technologies: Technology Commercialization Fund Will Support 12 National Labs and 58

  20. DSM Electricity Savings Potential in the Buildings Sector in APP Countries

    SciTech Connect (OSTI)

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

    2011-01-12

    .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.

  1. Demand Response- Policy

    Broader source: Energy.gov [DOE]

    Demand response is an electricity tariff or program established to motivate changes in electric use by end-use customers, designed to induce lower electricity use typically at times of high market prices or when grid reliability is jeopardized.

  2. Demand Dispatch-Intelligent

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Demand Dispatch-Intelligent Demand for a More Efficient Grid 10 August 2011 DOE/NETL- DE-FE0004001 U.S. Department of Energy Office of Electricity Delivery and Energy Reliability Prepared by: National Energy Technology Laboratory Disclaimer This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal

  3. Demand Response Dispatch Tool

    SciTech Connect (OSTI)

    2012-08-31

    The Demand Response (DR) Dispatch Tool uses price profiles to dispatch demand response resources and create load modifying profiles. These annual profiles are used as inputs to production cost models and regional planning tools (e.g., PROMOD). The tool has been effectively implemented in transmission planning studies conducted by the Western Electricity Coordinating Council via its Transmission Expansion Planning and Policy Committee. The DR Dispatch Tool can properly model the dispatch of DR resources for both reliability and economic conditions.

  4. Power Sector Modeling 101

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

    Erin Boyd Department of Energy - Office of Energy Policy and Systems Analysis erin.boyd@hq.doe.gov DOE's Technical Assistance Website www.energy.gov/ta Power Sector Modeling 101 2 Presentation Description - DOE Power Sector Modeling 101 With increased energy planning needs and new regulations, environmental agencies, state energy offices and others have expressed more of an interest in electric power sector models, both for (a) interpreting the results and potential applications of modeling from

  5. Commercial demonstration of the NOXSO SO{sub 2}/NO{sub x} removal flue gas cleanup system. Environmental information volume

    SciTech Connect (OSTI)

    1998-12-31

    The Clean Coal Technology (CCT) Demonstration Program is a $5 billion technology demonstration program that was legislated by Congress to be funded jointly by the federal government and industrial or other sector participants. The goal of the Program is to make available to the U.S. energy marketplace a number of advanced, more efficient, reliable, and environmentally responsive coal utilization and environmental control technologies. These technologies are intended to reduce or eliminate the economic and environmental impediments that limit the full consideration of coal as a future energy resource. Over the next decade, the Program will advance the technical, environmental and economic performance of these advanced technologies to the point where the private sector will be able to introduce them into the commercial marketplace. Each of these demonstrations is in a scale large enough to generate sufficient design, construction and operation data for the private sector to judge the technology`s commercial potential and to make informed confident decisions on its commercial readiness. The strategy being implemented to achieve the goal of the CCT Demonstration Program is to conduct a multi-phase effort consisting of at least five separate solicitations for projects, each with individual objectives that, when integrated, will make technology options available on a schedule consistent with the demands of the energy market and responsive to the relevant environmental considerations. This paper describes a commercial demonstration project to be fielded in support of this program.

  6. Refrigerated Warehouse Demand Response Strategy Guide

    SciTech Connect (OSTI)

    Scott, Doug; Castillo, Rafael; Larson, Kyle; Dobbs, Brian; Olsen, Daniel

    2015-11-01

    This guide summarizes demand response measures that can be implemented in refrigerated warehouses. In an appendix, it also addresses related energy efficiency opportunities. Reducing overall grid demand during peak periods and energy consumption has benefits for facility operators, grid operators, utility companies, and society. State wide demand response potential for the refrigerated warehouse sector in California is estimated to be over 22.1 Megawatts. Two categories of demand response strategies are described in this guide: load shifting and load shedding. Load shifting can be accomplished via pre-cooling, capacity limiting, and battery charger load management. Load shedding can be achieved by lighting reduction, demand defrost and defrost termination, infiltration reduction, and shutting down miscellaneous equipment. Estimation of the costs and benefits of demand response participation yields simple payback periods of 2-4 years. To improve demand response performance, it’s suggested to install air curtains and another form of infiltration barrier, such as a rollup door, for the passageways. Further modifications to increase efficiency of the refrigeration unit are also analyzed. A larger condenser can maintain the minimum saturated condensing temperature (SCT) for more hours of the day. Lowering the SCT reduces the compressor lift, which results in an overall increase in refrigeration system capacity and energy efficiency. Another way of saving energy in refrigerated warehouses is eliminating the use of under-floor resistance heaters. A more energy efficient alternative to resistance heaters is to utilize the heat that is being rejected from the condenser through a heat exchanger. These energy efficiency measures improve efficiency either by reducing the required electric energy input for the refrigeration system, by helping to curtail the refrigeration load on the system, or by reducing both the load and required energy input.

  7. New Commercial Program Development

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    New Commercial Program Development Commercial Current Promotions Industrial Federal Agriculture Beginning in spring of 2015, the BPA Commercial Team will be working with utilities...

  8. Types of Nuclear Industry Jobs Commercial and Government Sectors

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Homes Types of Homes Manufactured homes are one type of home that may require special considerations for energy efficiency and renewable energy technologies. | Photo courtesy of Florida Solar Energy Center. Manufactured homes are one type of home that may require special considerations for energy efficiency and renewable energy technologies. | Photo courtesy of Florida Solar Energy Center. Some types of homes may require different considerations when it comes to energy efficiency. You may be

  9. EIA Energy Efficiency-Commercial Buildings Sector Energy Intensities...

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

    Building Activity (Table 1b) html table 1b excel table 1b pdf table 1b. Total Primary Energy Consumption (U.S. and Census Region) By Principal Building Activity (Table 1c) html...

  10. Demand Response Dispatch Tool

    Energy Science and Technology Software Center (OSTI)

    2012-08-31

    The Demand Response (DR) Dispatch Tool uses price profiles to dispatch demand response resources and create load modifying profiles. These annual profiles are used as inputs to production cost models and regional planning tools (e.g., PROMOD). The tool has been effectively implemented in transmission planning studies conducted by the Western Electricity Coordinating Council via its Transmission Expansion Planning and Policy Committee. The DR Dispatch Tool can properly model the dispatch of DR resources for bothmore » reliability and economic conditions.« less