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


1

Environmental and Resource Economics Household Energy Demand in Urban China: Accounting for regional prices and rapid  

E-Print Network [OSTI]

Energy Demand in Urban China: Accounting for regional prices and rapid income change Article Type and changing demographics. We estimate income and price elasticities for these energy types using a two effects into account, we find that total energy is price-inelastic for all income groups. For individual

2

Regional Differences in the Price-Elasticity of Demand for Energy  

SciTech Connect (OSTI)

At the request of the National Renewable Energy Laboratory (NREL), the RAND Corporation examined the relationship between energy demand and energy prices with the focus on whether the relationships between demand and price differ if these are examined at different levels of data resolution. In this case, RAND compares national, regional, state, and electric utility levels of data resolution. This study is intended as a first step in helping NREL understand the impact that spatial disaggregation of data can have on estimating the impacts of their programs. This report should be useful to analysts in NREL and other national laboratories, as well as to policy nationals at the national level. It may help them understand the complex relationships between demand and price and how these might vary across different locations in the United States.

Bernstein, M. A.; Griffin, J.

2006-02-01T23:59:59.000Z

3

Impacts of Climate Change on Energy Consumption and Peak Demand in Buildings: A Detailed Regional Approach  

SciTech Connect (OSTI)

This paper presents the results of numerous commercial and residential building simulations, with the purpose of examining the impact of climate change on peak and annual building energy consumption over the portion of the Eastern Interconnection (EIC) located in the United States. The climate change scenario considered (IPCC A2 scenario as downscaled from the CASCaDE data set) has changes in mean climate characteristics as well as changes in the frequency and duration of intense weather events. This investigation examines building energy demand for three annual periods representative of climate trends in the CASCaDE data set at the beginning, middle, and end of the century--2004, 2052, and 2089. Simulations were performed using the Building ENergy Demand (BEND) model which is a detailed simulation platform built around EnergyPlus. BEND was developed in collaboration with the Platform for Regional Integrated Modeling and Analysis (PRIMA), a modeling framework designed to simulate the complex interactions among climate, energy, water, and land at decision-relevant spatial scales. Over 26,000 building configurations of different types, sizes, vintages, and, characteristics which represent the population of buildings within the EIC, are modeled across the 3 EIC time zones using the future climate from 100 locations within the target region, resulting in nearly 180,000 spatially relevant simulated demand profiles for each of the 3 years. In this study, the building stock characteristics are held constant based on the 2005 building stock in order to isolate and present results that highlight the impact of the climate signal on commercial and residential energy demand. Results of this analysis compare well with other analyses at their finest level of specificity. This approach, however, provides a heretofore unprecedented level of specificity across multiple spectrums including spatial, temporal, and building characteristics. This capability enables the ability to perform detailed hourly impact studies of building adaptation and mitigation strategies on energy use and electricity peak demand within the context of the entire grid and economy.

Dirks, James A.; Gorrissen, Willy J.; Hathaway, John E.; Skorski, Daniel C.; Scott, Michael J.; Pulsipher, Trenton C.; Huang, Maoyi; Liu, Ying; Rice, Jennie S.

2015-01-01T23:59:59.000Z

4

CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST Demand Forecast report is the product of the efforts of many current and former California Energy-2 Demand Forecast Disaggregation......................................................1-4 Statewide

5

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network [OSTI]

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

Shen, Bo

2013-01-01T23:59:59.000Z

6

Scenarios of Building Energy Demand for China with a Detailed Regional Representation  

SciTech Connect (OSTI)

Building energy consumption currently accounts for 28% of China’s total energy use and is expected to continue to grow induced by floorspace expansion, income growth, and population change. Fuel sources and building services are also evolving over time as well as across regions and building types. To understand sectoral and regional difference in building energy use and how socioeconomic, physical, and technological development influence the evolution of the Chinese building sector, this study developed a building energy use model for China downscaled into four climate regions under an integrated assessment framework. Three building types (rural residential, urban residential, and commercial) were modeled specifically in each climate region. Our study finds that the Cold and Hot Summer Cold Winter regions lead in total building energy use. The impact of climate change on heating energy use is more significant than that of cooling energy use in most climate regions. Both rural and urban households will experience fuel switch from fossil fuel to cleaner fuels. Commercial buildings will experience rapid growth in electrification and energy intensity. Improved understanding of Chinese buildings with climate change highlighted in this study will help policy makers develop targeted policies and prioritize building energy efficiency measures.

Yu, Sha; Eom, Jiyong; Zhou, Yuyu; Evans, Meredydd; Clarke, Leon E.

2014-02-07T23:59:59.000Z

7

Energy Demand Staff Scientist  

E-Print Network [OSTI]

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

Eisen, Michael

8

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network [OSTI]

of integrating demand response and energy efficiencyand D. Kathan (2009), Demand Response in U.S. ElectricityFRAMEWORKS THAT PROMOTE DEMAND RESPONSE 3.1. Demand Response

Shen, Bo

2013-01-01T23:59:59.000Z

9

ENERGY DEMAND FORECAST METHODS REPORT  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION ENERGY DEMAND FORECAST METHODS REPORT Companion Report to the California Energy Demand 2006-2016 Staff Energy Demand Forecast Report STAFFREPORT June 2005 CEC-400 .......................................................................................................................................1-1 ENERGY DEMAND FORECASTING AT THE CALIFORNIA ENERGY COMMISSION: AN OVERVIEW

10

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network [OSTI]

Data for Automated Demand Response in Commercial Buildings,Demand Response Infrastructure for Commercial Buildings",demand response and energy efficiency functions into the design of buildings,

Shen, Bo

2013-01-01T23:59:59.000Z

11

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

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

Goldman, Charles

2010-01-01T23:59:59.000Z

12

California Baseline Energy Demands to 2050 for Advanced Energy Pathways  

E-Print Network [OSTI]

these trends lead to declining natural gas consumption byNatural gas demand has been rising in California and this trendnatural gas demands regionally, to account for variability in energy usage trends

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

13

Coupling Renewable Energy Supply with Deferrable Demand  

E-Print Network [OSTI]

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

Papavasiliou, Anthony

2011-01-01T23:59:59.000Z

14

Driving Demand | Department of Energy  

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

strategies, results achieved to date, and advice for other programs. Driving Demand for Home Energy Improvements. This guide, developed by the Lawrence Berkeley National...

15

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

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

Goldman, Charles

2010-01-01T23:59:59.000Z

16

Turkey's energy demand and supply  

SciTech Connect (OSTI)

The aim of the present article is to investigate Turkey's energy demand and the contribution of domestic energy sources to energy consumption. Turkey, the 17th largest economy in the world, is an emerging country with a buoyant economy challenged by a growing demand for energy. Turkey's energy consumption has grown and will continue to grow along with its economy. Turkey's energy consumption is high, but its domestic primary energy sources are oil and natural gas reserves and their production is low. Total primary energy production met about 27% of the total primary energy demand in 2005. Oil has the biggest share in total primary energy consumption. Lignite has the biggest share in Turkey's primary energy production at 45%. Domestic production should be to be nearly doubled by 2010, mainly in coal (lignite), which, at present, accounts for almost half of the total energy production. The hydropower should also increase two-fold over the same period.

Balat, M. [Sila Science, Trabzon (Turkey)

2009-07-01T23:59:59.000Z

17

Coordination of Energy Efficiency and Demand Response  

SciTech Connect (OSTI)

This paper reviews the relationship between energy efficiency and demand response and discusses approaches and barriers to coordinating energy efficiency and demand response. The paper is intended to support the 10 implementation goals of the National Action Plan for Energy Efficiency's Vision to achieve all cost-effective energy efficiency by 2025. Improving energy efficiency in our homes, businesses, schools, governments, and industries - which consume more than 70 percent of the nation's natural gas and electricity - is one of the most constructive, cost-effective ways to address the challenges of high energy prices, energy security and independence, air pollution, and global climate change. While energy efficiency is an increasingly prominent component of efforts to supply affordable, reliable, secure, and clean electric power, demand response is becoming a valuable tool in utility and regional resource plans. The Federal Energy Regulatory Commission (FERC) estimated the contribution from existing U.S. demand response resources at about 41,000 megawatts (MW), about 5.8 percent of 2008 summer peak demand (FERC, 2008). Moreover, FERC recently estimated nationwide achievable demand response potential at 138,000 MW (14 percent of peak demand) by 2019 (FERC, 2009).2 A recent Electric Power Research Institute study estimates that 'the combination of demand response and energy efficiency programs has the potential to reduce non-coincident summer peak demand by 157 GW' by 2030, or 14-20 percent below projected levels (EPRI, 2009a). This paper supports the Action Plan's effort to coordinate energy efficiency and demand response programs to maximize value to customers. For information on the full suite of policy and programmatic options for removing barriers to energy efficiency, see the Vision for 2025 and the various other Action Plan papers and guides available at www.epa.gov/eeactionplan.

Goldman, Charles; Reid, Michael; Levy, Roger; Silverstein, Alison

2010-01-29T23:59:59.000Z

18

Demand Response and Energy Efficiency  

E-Print Network [OSTI]

Demand Response & Energy Efficiency International Conference for Enhanced Building Operations ESL-IC-09-11-05 Proceedings of the Ninth International Conference for Enhanced Building Operations, Austin, Texas, November 17 - 19, 2009 2 ?Less than 5... for Enhanced Building Operations, Austin, Texas, November 17 - 19, 2009 5 What is Demand Response? ?The temporary reduction of electricity demanded from the grid by an end-user in response to capacity shortages, system reliability events, or high wholesale...

19

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

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

Goldman, Charles

2010-01-01T23:59:59.000Z

20

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

In terms of demand response capability, building operatorsautomated demand response and improve building energy andand demand response features directly into building design

Goldman, Charles

2010-01-01T23:59:59.000Z

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


21

California Energy Demand Scenario Projections to 2050  

E-Print Network [OSTI]

California Energy Demand Scenario Projections to 2050 RyanCEC (2003a) California energy demand 2003-2013 forecast.CEC (2005a) California energy demand 2006-2016: Staff energy

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

22

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

California Long-term Energy Efficiency Strategic Plan. B-2 Coordination of Energy Efficiency and Demand Response> B-4 Coordination of Energy Efficiency and Demand Response

Goldman, Charles

2010-01-01T23:59:59.000Z

23

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 2: Electricity Demand.Oglesby Executive Director #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product estimates. Margaret Sheridan provided the residential forecast. Mitch Tian prepared the peak demand

24

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST Volume 2: Electricity Demand Robert P. Oglesby Executive Director #12;i ACKNOWLEDGEMENTS The demand forecast is the combined provided estimates for demand response program impacts and contributed to the residential forecast. Mitch

25

Trends in Regional Electricity Demands 1995-2012  

E-Print Network [OSTI]

to Department of Energy in EIA form 861. Council staff takes annual reported retail sales by each utility. Street lighting sales are not metered but rather estimated . 10 #12;Losses are Defined as Energy LoadsTrends in Regional Electricity Demands 1995-2012 January 29, 2014 #12;In Today's Conversation

26

Global energy demand to 2060  

SciTech Connect (OSTI)

The projection of global energy demand to the year 2060 is of particular interest because of its relevance to the current greenhouse concerns. The long-term growth of global energy demand in the time scale of climatic change has received relatively little attention in the public discussion of national policy alternatives. The sociological, political, and economic issues have rarely been mentioned in this context. This study emphasizes that the two major driving forces are global population growth and economic growth (gross national product per capita), as would be expected. The modest annual increases assumed in this study result in a year 2060 annual energy use of >4 times the total global current use (year 1986) if present trends continue, and >2 times with extreme efficiency improvements in energy use. Even assuming a zero per capita growth for energy and economics, the population increase by the year 2060 results in a 1.5 times increase in total annual energy use.

Starr, C. (Electric Power Research Institute, Palo Alto, CA (USA))

1989-01-01T23:59:59.000Z

27

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network [OSTI]

DEMAND RESPONSE .7 Wholesale Marketuse at times of high wholesale market prices or when systemenergy expenditure. In wholesale markets, spot energy prices

Shen, Bo

2013-01-01T23:59:59.000Z

28

Demand Response | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProvedDecember 2005Department ofDOE AccidentWasteZone Modeling |Demand Response Demand

29

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

and Demand Response A pilot program from NSTAR in Massachusetts,Massachusetts, aiming to test whether an intensive program of energy efficiency and demand response

Goldman, Charles

2010-01-01T23:59:59.000Z

30

CALIFORNIA ENERGY DEMAND 2014-2024 PRELIMINARY  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 2014-2024 PRELIMINARY FORECAST Volume 1 in this report. #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product of the hard. Margaret Sheridan contributed to the residential forecast. Mitch Tian prepared the peak demand

31

CALIFORNIA ENERGY DEMAND 2014-2024 PRELIMINARY  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 2014-2024 PRELIMINARY FORECAST Volume 2 Director #12; i ACKNOWLEDGEMENTS The demand forecast is the combined product prepared the peak demand forecast. Ravinderpal Vaid provided the projections of commercial

32

Reducing Energy Demand in Buildings Through State Energy Codes...  

Energy Savers [EERE]

Reducing Energy Demand in Buildings Through State Energy Codes Reducing Energy Demand in Buildings Through State Energy Codes Building Codes Project for the 2013 Building...

33

Energy demand and population changes  

SciTech Connect (OSTI)

Since World War II, US energy demand has grown more rapidly than population, so that per capita consumption of energy was about 60% higher in 1978 than in 1947. Population growth and the expansion of per capita real incomes have led to a greater use of energy. The aging of the US population is expected to increase per capita energy consumption, despite the increase in the proportion of persons over 65, who consume less energy than employed persons. The sharp decline in the population under 18 has led to an expansion in the relative proportion of population in the prime-labor-force age groups. Employed persons are heavy users of energy. The growth of the work force and GNP is largely attributable to the growing participation of females. Another important consequence of female employment is the growth in ownership of personal automobiles. A third factor pushing up labor-force growth is the steady influx of illegal aliens.

Allen, E.L.; Edmonds, J.A.

1980-12-01T23:59:59.000Z

34

System Demand-Side Management: Regional results  

SciTech Connect (OSTI)

To improve the Bonneville Power Administration's (Bonneville's) ability to analyze the value and impacts of demand-side programs, Pacific Northwest Laboratory (PNL) developed and implemented the System Demand-Side Management (SDSM) model, a microcomputer-based model of the Pacific Northwest Public Power system. This document outlines the development and application of the SDSM model, which is an hourly model. Hourly analysis makes it possible to examine the change in marginal revenues and marginal costs that accrue from the movement of energy consumption from daytime to nighttime. It also allows a more insightful analysis of programs such as water heater control in the context of hydroelectric-based generation system. 7 refs., 10 figs., 10 tabs.

Englin, J.E.; Sands, R.D.; De Steese, J.G.; Marsh, S.J.

1990-05-01T23:59:59.000Z

35

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST Volume 2: Electricity Demand The demand forecast is the combined product of the hard work and expertise of numerous California Energy for demand response program impacts and contributed to the residential forecast. Mitch Tian prepared

36

Modeling Energy Demand Aggregators for Residential Consumers  

E-Print Network [OSTI]

Modeling Energy Demand Aggregators for Residential Consumers G. Di Bella, L. Giarr`e, M. Ippolito, A. Jean-Marie, G. Neglia and I. Tinnirello § January 2, 2014 Abstract Energy demand aggregators are new actors in the energy scenario: they gather a group of energy consumers and implement a demand

Paris-Sud XI, Université de

37

Transportation Energy: Supply, Demand and the Future  

E-Print Network [OSTI]

Transportation Energy: Supply, Demand and the Future http://www.uwm.edu/Dept/CUTS//2050/energy05 as a source of energy. Global supply and demand trends will have a profound impact on the ability to use our) Transportation energy demand in the U.S. has increased because of the greater use of less fuel efficient vehicles

Saldin, Dilano

38

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

in peak demand. This definition of energy efficiency makesthe following definitions are used: Energy efficiency refersThis definition implicitly distinguishes energy efficiency

Goldman, Charles

2010-01-01T23:59:59.000Z

39

CALIFORNIA ENERGY CALIFORNIA ENERGY DEMAND 2010-2020  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2010-2020 ADOPTED FORECAST for this report: Kavalec, Chris and Tom Gorin, 2009. California Energy Demand 20102020, Adopted Forecast. California Energy Commission. CEC2002009012CMF #12; i Acknowledgments The demand forecast

40

US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier  

E-Print Network [OSTI]

that energy intensity is not necessarily a good indicator of energy efficiency, whereas by controllingUS Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach Massimo www.cepe.ethz.ch #12;US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier

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


41

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect (OSTI)

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

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

2005-07-01T23:59:59.000Z

42

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 2014­2024 FINAL FORECAST Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product of the hard work to the residential forecast. Mitch Tian prepared the peak demand forecast. Ravinderpal Vaid provided the projections

43

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022  

E-Print Network [OSTI]

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 2: Electricity Demand by Utility ACKNOWLEDGEMENTS The staff demand forecast is the combined product of the hard work and expertise of numerous the residential forecast. Mitch Tian prepared the peak demand forecast. Ravinderpal Vaid provided the projections

44

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022  

E-Print Network [OSTI]

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The staff demand forecast is the combined product of the hard work Sheridan provided the residential forecast. Mitch Tian prepared the peak demand forecast. Ravinderpal Vaid

45

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 2014­2024 REVISED FORECAST Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product of the hard work provided estimates for demand response program impacts and contributed to the residential forecast. Mitch

46

California Baseline Energy Demands to 2050 for Advanced Energy Pathways  

E-Print Network [OSTI]

ED2, September. CEC (2005b) Energy demand forecast methodsCalifornia Baseline Energy Demands to 2050 for Advancedof a baseline scenario for energy demand in California for a

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

47

Demand Response - Policy | Department of Energy  

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

prices or when grid reliability is jeopardized. In regions with centrally organized wholesale electricity markets, demand response can help stabilize volatile electricity prices...

48

Linking Continuous Energy Management and Open Automated Demand Response  

E-Print Network [OSTI]

description of six energy and demand management concepts.how quickly it can modify energy demand. This is not a newimprovements in both energy efficiency and demand response (

Piette, Mary Ann

2009-01-01T23:59:59.000Z

49

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network [OSTI]

Institute, “Curbing Global Energy Demand Growth: The Energyup Assessment of Energy Demand in India Transportationa profound effect on energy demand. Policy analysts wishing

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

50

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 1: Statewide Electricity forecast is the combined product of the hard work and expertise of numerous staff members in the Demand prepared the peak demand forecast. Ravinderpal Vaid provided the projections of commercial floor space

51

Global Energy: Supply, Demand, Consequences, Opportunities  

ScienceCinema (OSTI)

July 29, 2008 Berkeley Lab lecture: Arun Majumdar, Director of the Environmental Energy Technologies Division, discusses current and future projections of economic growth, population, and global energy demand and supply, and explores the implications of these trends for the environment.

Arun Majumdar

2010-01-08T23:59:59.000Z

52

Real-Time Demand Side Energy Management  

E-Print Network [OSTI]

Real-Time Demand Side Energy Management Annelize Victor Michael Brodkorb Sr. Business Consultant Business Development Manager Aspen Technology, Inc. Aspen Technology España, S.A. Houston, TX Barcelona, Spain ABSTRACT To remain... competitive, manufacturers must capture opportunities to increase bottom-line profitability. The goal of this paper is to present a new methodology for reducing energy costs – “Demand-Side Energy Management.” Learn how process manufacturers assess energy...

Victor, A.; Brodkorb, M.

2006-01-01T23:59:59.000Z

53

Near Optimal Demand-Side Energy Management Under Real-time Demand-Response Pricing  

E-Print Network [OSTI]

Near Optimal Demand-Side Energy Management Under Real-time Demand-Response Pricing Jin Xiao, Jae--In this paper, we present demand-side energy manage- ment under real-time demand-response pricing as a task, demand-response, energy management I. INTRODUCTION The growing awareness of global climate change has

Boutaba, Raouf

54

Electricity Demand and Energy Consumption Management System  

E-Print Network [OSTI]

This project describes the electricity demand and energy consumption management system and its application to the Smelter Plant of Southern Peru. It is composted of an hourly demand-forecasting module and of a simulation component for a plant electrical system. The first module was done using dynamic neural networks, with backpropagation training algorithm; it is used to predict the electric power demanded every hour, with an error percentage below of 1%. This information allows management the peak demand before this happen, distributing the raise of electric load to other hours or improving those equipments that increase the demand. The simulation module is based in advanced estimation techniques, such as: parametric estimation, neural network modeling, statistic regression and previously developed models, which simulates the electric behavior of the smelter plant. These modules allow the proper planning because it allows knowing the behavior of the hourly demand and the consumption patterns of the plant, in...

Sarmiento, Juan Ojeda

2008-01-01T23:59:59.000Z

55

Energy Demands and Efficiency Strategies in Data Center Buildings  

E-Print Network [OSTI]

iv Chapter 5: National energy demand and potential energyEnergy Demands and Efficiency Strategies   in Data Center AC02?05CH11231.   Energy Demands and Efficiency Strategies

Shehabi, Arman

2010-01-01T23:59:59.000Z

56

A residential energy demand system for Spain  

E-Print Network [OSTI]

Sharp price fluctuations and increasing environmental and distributional concerns, among other issues, have led to a renewed academic interest in energy demand. In this paper we estimate, for the first time in Spain, an ...

Labandeira Villot, Xavier

2005-01-01T23:59:59.000Z

57

Energy technologies and their impact on demand  

SciTech Connect (OSTI)

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

Drucker, H.

1995-06-01T23:59:59.000Z

58

Hydrogen demand, production, and cost by region to 2050.  

SciTech Connect (OSTI)

This report presents an analysis of potential hydrogen (H{sub 2}) demand, production, and cost by region to 2050. The analysis was conducted to (1) address the Energy Information Administration's (EIA's) request for regional H{sub 2} cost estimates that will be input to its energy modeling system and (2) identify key regional issues associated with the use of H{sub 2} that need further study. Hydrogen costs may vary substantially by region. Many feedstocks may be used to produce H{sub 2}, and the use of these feedstocks is likely to vary by region. For the same feedstock, regional variation exists in capital and energy costs. Furthermore, delivery costs are likely to vary by region: some regions are more rural than others, and so delivery costs will be higher. However, to date, efforts to comprehensively and consistently estimate future H{sub 2} costs have not yet assessed regional variation in these costs. To develop the regional cost estimates and identify regional issues requiring further study, we developed a H{sub 2} demand scenario (called 'Go Your Own Way' [GYOW]) that reflects fuel cell vehicle (FCV) market success to 2050 and allocated H{sub 2} demand by region and within regions by metropolitan versus non-metropolitan areas. Because we lacked regional resource supply curves to develop our H{sub 2} production estimates, we instead developed regional H{sub 2} production estimates by feedstock by (1) evaluating region-specific resource availability for centralized production of H{sub 2} and (2) estimating the amount of FCV travel in the nonmetropolitan areas of each region that might need to be served by distributed production of H{sub 2}. Using a comprehensive H{sub 2} cost analysis developed by SFA Pacific, Inc., as a starting point, we then developed cost estimates for each H{sub 2} production and delivery method by region and over time (SFA Pacific, Inc. 2002). We assumed technological improvements over time to 2050 and regional variation in energy and capital costs. Although we estimate substantial reductions in H{sub 2} costs over time, our cost estimates are generally higher than the cost goals of the U.S. Department of Energy's (DOE's) hydrogen program. The result of our analysis, in particular, demonstrates that there may be substantial variation in H{sub 2} costs between regions: as much as $2.04/gallon gasoline equivalent (GGE) by the time FCVs make up one-half of all light-vehicle sales in the GYOW scenario (2035-2040) and $1.85/GGE by 2050 (excluding Alaska). Given the assumptions we have made, our analysis also shows that there could be as much as a $4.82/GGE difference in H{sub 2} cost between metropolitan and non-metropolitan areas by 2050 (national average). Our national average cost estimate by 2050 is $3.68/GGE, but the average H{sub 2} cost in metropolitan areas in that year is $2.55/GGE and that in non-metropolitan areas is $7.37/GGE. For these estimates, we assume that the use of natural gas to produce H{sub 2} is phased out. This phase-out reflects the desire of DOE's Office of Hydrogen, Fuel Cells and Infrastructure Technologies (OHFCIT) to eliminate reliance on natural gas for H{sub 2} production. We conducted a sensitivity run in which we allowed natural gas to continue to be used through 2050 for distributed production of H{sub 2} to see what effect changing that assumption had on costs. In effect, natural gas is used for 66% of all distributed production of H{sub 2} in this run. The national average cost is reduced to $3.10/GGE, and the cost in non-metropolitan areas is reduced from $7.37/GGE to $4.90, thereby reducing the difference between metropolitan and non-metropolitan areas to $2.35/GGE. Although the cost difference is reduced, it is still substantial. Regional differences are similarly reduced, but they also remain substantial. We also conducted a sensitivity run in which we cut in half our estimate of the cost of distributed production of H{sub 2} from electrolysis (our highest-cost production method). In this run, our national average cost estimate is reduced even further, to

Singh, M.; Moore, J.; Shadis, W.; Energy Systems; TA Engineering, Inc.

2005-10-31T23:59:59.000Z

59

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network [OSTI]

BEST PRACTICES AND RESULTS OF DR IMPLEMENTATION . 31 Encouraging End-User Participation: The Role of Incentives 16 Demand Response

Shen, Bo

2013-01-01T23:59:59.000Z

60

Behavioral Aspects in Simulating the Future US Building Energy Demand  

E-Print Network [OSTI]

Importance Total off- site energy demand (2030) 20% decreaseImportance Total off-site energy demand (2030) 20% decreaseImportance Total off-site energy demand (2030) 20% decrease

Stadler, Michael

2011-01-01T23:59:59.000Z

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


61

Learning Energy Demand Domain Knowledge via Feature Transformation  

E-Print Network [OSTI]

Learning Energy Demand Domain Knowledge via Feature Transformation Sanzad Siddique Department -- Domain knowledge is an essential factor for forecasting energy demand. This paper introduces a method knowledge substantially improves energy demand forecasting accuracy. However, domain knowledge may differ

Povinelli, Richard J.

62

Demand Response Initiatives at CPS Energy  

E-Print Network [OSTI]

Demand Response Initiatives at CPS Energy Clean Air Through Energy Efficiency (CATEE) Conference December 17, 2013 ESL-KT-13-12-53 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 CPSE’s DR Program • DR... than the military bases and Toyota combined. • Schools & Universities contributed 6 MW’s of Demand Response in 2013. 2013 DR Participants Trinity University - $5,654 Fort Sam ISD - $18,860 Judson ISD - $45,540 Alamo Colleges - $98,222 UTSA - $168...

Luna, R.

2013-01-01T23:59:59.000Z

63

Response to several FOIA requests - Renewable Energy. Demand...  

Office of Environmental Management (EM)

Response to several FOIA requests - Renewable Energy. Demand for Fossil Fuels Response to several FOIA requests - Renewable Energy. Demand for Fossil Fuels Response to several FOIA...

64

Energy Upgrade California Drives Demand From Behind the Wheel...  

Energy Savers [EERE]

Upgrade California Drives Demand From Behind the Wheel Energy Upgrade California Drives Demand From Behind the Wheel Photo of a trailer with the Energy Upgrade California logo and...

65

Energy Demand (released in AEO2010)  

Reports and Publications (EIA)

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.

2010-01-01T23:59:59.000Z

66

Drivers of Future Energy Demand  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phasesDataTranslocationDiurnalCommittee Draft Advice9DrillingDrive

67

Demand Control Utilizing Energy Management Systems - Report of Field Tests  

E-Print Network [OSTI]

Energy Management systems and particularly demand controllers are becoming more popular as commercial and light industrial operations attempt to reduce their electrical usage and demand. Numerous techniques are used to control energy use and demand...

Russell, B. D.; Heller, R. P.; Perry, L. W.

1984-01-01T23:59:59.000Z

68

Global Climate Change and Demand for Energy  

E-Print Network [OSTI]

-CARES) Washington University in St. Louis #12;9 Jun ­ Jul ­ Aug Temperature Anomaly Distribution Frequency of air and water temperatures Losses of ice from Greenland and Antarctica Sea-level rise Energy demands 169 390 327 90 16 H2O, CO2, O3 Earth receives visible light from hot Sun and Earth radiates to space

Subramanian, Venkat

69

AUTOMATION OF ENERGY DEMAND FORECASTING Sanzad Siddique, B.S.  

E-Print Network [OSTI]

AUTOMATION OF ENERGY DEMAND FORECASTING by Sanzad Siddique, B.S. A Thesis submitted to the Faculty OF ENERGY DEMAND FORECASTING Sanzad Siddique, B.S. Marquette University, 2013 Automation of energy demand of the energy demand forecasting are achieved by integrating nonlinear transformations within the models

Povinelli, Richard J.

70

Coupling Renewable Energy Supply with Deferrable Demand  

E-Print Network [OSTI]

for each day type for the demand response study - moderate8.4 Demand Response Integration . . . . . . . . . . .for each day type for the demand response study - moderate

Papavasiliou, Anthony

2011-01-01T23:59:59.000Z

71

Demand-Side Management and Energy Efficiency Revisited  

E-Print Network [OSTI]

EPRI). 1984. ”Demand Side Management. Vol. 1:Overview of Key1993. ”Industrial Demand-Side Management Programs: What’sJ. Kulick. 2004. ”Demand side management and energy e?ciency

Auffhammer, Maximilian; Blumstein, Carl; Fowlie, Meredith

2007-01-01T23:59:59.000Z

72

Linking Continuous Energy Management and Open Automated Demand Response  

E-Print Network [OSTI]

for Demand Response in a New Commercial Building in NewDemand Response and Energy Efficiency in Commercial Buildings.Demand Response Mary Ann Piette, Sila Kiliccote, and Girish Ghatikar Lawrence Berkeley National Laboratory Building

Piette, Mary Ann

2009-01-01T23:59:59.000Z

73

Opportunities for Energy Efficiency and Automated Demand Response in Industrial Refrigerated Warehouses in California  

E-Print Network [OSTI]

in significant energy and demand savings for refrigeratedbe modified to reduce energy demand during demand responsein refrigerated warehouse energy demand if they are not

Lekov, Alex

2009-01-01T23:59:59.000Z

74

The Role of Demand Resources In Regional Transmission Expansion Planning and Reliable Operations  

SciTech Connect (OSTI)

Investigating the role of demand resources in regional transmission planning has provided mixed results. On one hand there are only a few projects where demand response has been used as an explicit alternative to transmission enhancement. On the other hand there is a fair amount of demand response in the form of energy efficiency, peak reduction, emergency load shedding, and (recently) demand providing ancillary services. All of this demand response reduces the need for transmission enhancements. Demand response capability is typically (but not always) factored into transmission planning as a reduction in the load which must be served. In that sense demand response is utilized as an alternative to transmission expansion. Much more demand response is used (involuntarily) as load shedding under extreme conditions to prevent cascading blackouts. The amount of additional transmission and generation that would be required to provide the current level of reliability if load shedding were not available is difficult to imagine and would be impractical to build. In a very real sense demand response solutions are equitably treated in every region - when proposed, demand response projects are evaluated against existing reliability and economic criteria. The regional councils, RTOs, and ISOs identify needs. Others propose transmission, generation, or responsive load based solutions. Few demand response projects get included in transmission enhancement plans because few are proposed. But this is only part of the story. Several factors are responsible for the current very low use of demand response as a transmission enhancement alternative. First, while the generation, transmission, and load business sectors each deal with essentially the same amount of electric power, generation and transmission companies are explicitly in the electric power business but electricity is not the primary business focus of most loads. This changes the institutional focus of each sector. Second, market and reliability rules have, understandably, been written around the capabilities and limitations of generators, the historic reliability resources. Responsive load limitations and capabilities are often not accommodated in markets or reliability criteria. Third, because of the institutional structure, demand response alternatives are treated as temporary solutions that can delay but not replace transmission enhancement. Financing has to be based on a three to five year project life as opposed to the twenty to fifty year life of transmission facilities. More can be done to integrate demand response options into transmission expansion planning. Given the societal benefits it may be appropriate for independent transmission planning organizations to take a more proactive role in drawing demand response alternatives into the resource mix. Existing demand response programs provide a technical basis to build from. Regulatory and market obstacles will have to be overcome if demand response alternatives are to be routinely considered in transmission expansion planning.

Kirby, Brendan J [ORNL

2006-07-01T23:59:59.000Z

75

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF DRAFT FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2008-2018 STAFF DRAFT FORECAST Energy Demand 2008-2018 forecast supports the analysis and recommendations of the 2007 Integrated Energy Commission demand forecast models. Both the staff draft energy consumption and peak forecasts are slightly

76

Optimal Demand Response with Energy Storage Management  

E-Print Network [OSTI]

In this paper, we consider the problem of optimal demand response and energy storage management for a power consuming entity. The entity's objective is to find an optimal control policy for deciding how much load to consume, how much power to purchase from/sell to the power grid, and how to use the finite capacity energy storage device and renewable energy, to minimize his average cost, being the disutility due to load- shedding and cost for purchasing power. Due to the coupling effect of the finite size energy storage, such problems are challenging and are typically tackled using dynamic programming, which is often complex in computation and requires substantial statistical information of the system dynamics. We instead develop a low-complexity algorithm called Demand Response with Energy Storage Management (DR-ESM). DR-ESM does not require any statistical knowledge of the system dynamics, including the renewable energy and the power prices. It only requires the entity to solve a small convex optimization pr...

Huang, Longbo; Ramchandran, Kannan

2012-01-01T23:59:59.000Z

77

Univariate Modeling and Forecasting of Monthly Energy Demand Time Series  

E-Print Network [OSTI]

Univariate Modeling and Forecasting of Monthly Energy Demand Time Series Using Abductive and Neural demand time series based only on data for six years to forecast the demand for the seventh year. Both networks, Neural networks, Modeling, Forecasting, Energy demand, Time series forecasting, Power system

Abdel-Aal, Radwan E.

78

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network [OSTI]

services provided to the energy markets, Order 745 advancesin the wholesale energy market (both day-ahead and real-the capacity market is. The energy market does not feature

Shen, Bo

2013-01-01T23:59:59.000Z

79

Demand Response (transactional control) - Energy Innovation Portal  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phasesData Files Data FilesFeFe-HydrogenaseDemandEnergy Analysis

80

Examining Synergies between Energy Management and Demand Response: A Case Study at Two California Industrial Facilities  

E-Print Network [OSTI]

and Demand Response History Energy Management Activities o #and Demand Response History Energy Management Activities

Olsen, Daniel

2013-01-01T23:59:59.000Z

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


81

California Energy Demand Scenario Projections to 2050  

E-Print Network [OSTI]

annual per-capita electricity consumption by demand15 California electricity consumption projections by demandannual per-capita electricity consumption by demand

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

82

California Energy Demand Scenario Projections to 2050  

E-Print Network [OSTI]

Vehicle Conventional and Alternative Fuel Response Simulatormodified to include alternative fuel demand scenarios (whichvehicle adoption and alternative fuel demand) later in the

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

83

Modeling supermarket refrigeration energy use and demand  

SciTech Connect (OSTI)

A computer model has been developed that can predict the performance of supermarket refrigeration equipment to within 3% of field test measurements. The Supermarket Refrigeration Energy Use and Demand Model has been used to simulate currently available refrigerants R-12, R-502 and R-22, and is being further developed to address alternative refrigerants. This paper reports that the model is expected to be important in the design, selection and operation of cost-effective, high-efficiency refrigeration systems. It can profile the operation and performance of different types of compressors, condensors, refrigerants and display cases. It can also simulate the effects of store humidity and temperature on display cases; the efficiency of various floating head pressure setpoints, defrost alternatives and subcooling methods; the efficiency and amount of heat reclaim from refrigeration systems; and the influence of other variables such as store lighting and building design. It can also be used to evaluate operational strategies such as variable-speed drive or cylinder unloading for capacity control. Development of the model began in 1986 as part of a major effort, sponsored by the U.S. electric utility industry, to evaluate energy performance of then conventional single compressor and state-of-the-art multiplex refrigeration systems, and to characterize the contribution of a variety of technology enhancement features on system energy use and demand.

Blatt, M.H.; Khattar, M.K. (Electric Power Research Inst., Palo Alto, CA (US)); Walker, D.H. (Foster Miller Inc., Waltham, MA (US))

1991-07-01T23:59:59.000Z

84

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST forecast is the combined product of the hard work and expertise of numerous staff members in the Demand, and utilities. Mitch Tian prepared the peak demand forecast. Ted Dang prepared the historic energy consumption

85

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST forecast is the combined product of the hard work and expertise of numerous staff in the Demand Analysis. Mitch Tian prepared the peak demand forecast. Ted Dang prepared the historic energy consumption data

86

Examining Synergies between Energy Management and Demand Response: A  

E-Print Network [OSTI]

LBNL-5719E Examining Synergies between Energy Management and Demand Response: A Case Study at Two Summary #12;Introduction Energy Management · · · · · · · · · · #12;Demand Response #12;#12;Bentley Prince-Project Personnel Changes #12;Enablement of Demand Response Capabilities due to Energy Management Improvement

87

Opportunities for Energy Efficiency and Demand Response in the California  

E-Print Network [OSTI]

LBNL-4849E Opportunities for Energy Efficiency and Demand Response in the California Cement in this report was coordinated by the Demand Response Research Center and funded by the California Energy. Opportunities for Energy Efficiency and Demand Response in the California Cement Industry. PIER Industrial

88

Alberta's Energy Reserves 2007 and Supply/Demand Outlook  

E-Print Network [OSTI]

Alberta's Energy Reserves 2007 and Supply/Demand Outlook 2008-2017 0 ST98-2008 Energy Resources RESOURCES CONSERVATION BOARD ST98-2008: Alberta's Energy Reserves 2007 and Supply/Demand Outlook 2008: Reserves Andy Burrowes, Rick Marsh, Nehru Ramdin, and Curtis Evans; Supply/Demand and Economics

Laughlin, Robert B.

89

Pseudo dynamic transitional modeling of building heating energy demand using artificial neural network  

E-Print Network [OSTI]

R. Satake, Prediction of energy demands using neural networkof Building Heating Energy Demand Using Artificial Neuralknow energy flows and energy demand of the buildings for the

Paudel, Subodh; Elmtiri, Mohamed; Kling, Wil L; Corre, Olivier Le; Lacarriere, Bruno

2014-01-01T23:59:59.000Z

90

Energy and Security in Northeast Asia: Supply and Demand, Conflict and  

E-Print Network [OSTI]

favorable economically, energy demand, and particularly oil3 Energy Policies and Energy Demand in Northeastissue of whether rising energy demand generates new security

Fesharaki, Fereidun; Banaszak, Sarah; WU, Kang; Valencia, Mark J.; Dorian, James P.

1998-01-01T23:59:59.000Z

91

Residential Energy Demand Reduction Analysis and Monitoring Platform...  

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

objective will be achieved by - Energy efficient home construction with roof- integrated PV system - Demand Side Management - Battery Energy Storage System Project schematic...

92

Coordination of Energy Efficiency and Demand Response: A Resource...  

Open Energy Info (EERE)

Demand Response: A Resource of the National Action Plan for Energy Efficiency Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Coordination of Energy Efficiency and...

93

Smoothing the Energy Consumption: Peak Demand Reduction in Smart Grid  

E-Print Network [OSTI]

for autonomous demand side management within one house. The DRS devices are able to sense and control the peak energy consumption or demand. We assume that several appliances within one building access to oneSmoothing the Energy Consumption: Peak Demand Reduction in Smart Grid Shaojie Tang , Qiuyuan Huang

Li, Xiang-Yang

94

COMBINING DIVERSE DATA SOURCES FOR CEDSS, AN AGENT-BASED MODEL OF DOMESTIC ENERGY DEMAND  

E-Print Network [OSTI]

Model CEDSS (Community Energy Demand Social Simulator) wasthe determinants of domestic energy demand and covering fivescenarios of domestic energy demand to 2050, and for its

Gotts, Nicholas Mark; Polhill, Gary; Craig, Tony; Galan-Diaz, Carlos

2014-01-01T23:59:59.000Z

95

How Can China Lighten Up? Urbanization, Industrialization and Energy Demand Scenarios  

E-Print Network [OSTI]

on the forecast of total energy demand. Based on this, weIndustrialization and Energy Demand Scenarios Nathaniel T.adjustment spurred energy demand for construction of new

Aden, Nathaniel T.

2010-01-01T23:59:59.000Z

96

Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty  

E-Print Network [OSTI]

of Distributed Energy Resources and Demand Response underof Distributed Energy Resources and Demand Response underof Distributed Energy Resources and Demand Response under

Siddiqui, Afzal

2010-01-01T23:59:59.000Z

97

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

E-Print Network [OSTI]

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

Komiyama, Ryoichi

2008-01-01T23:59:59.000Z

98

Coupling Renewable Energy Supply with Deferrable Demand  

E-Print Network [OSTI]

in the presence of renewable resources and on the amount ofprimarily from renewable resources, and to a limited extentintegration of renewable resources and deferrable demand. We

Papavasiliou, Anthony

2011-01-01T23:59:59.000Z

99

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

water heaters with embedded demand responsive controls can be designed to automatically provide day-ahead and real-time response

Goldman, Charles

2010-01-01T23:59:59.000Z

100

Beyond Renewable Portfolio Standards: An Assessment of Regional Supply and Demand Conditions Affecting the Future of Renewable Energy in the West; Report and Executive Summary  

SciTech Connect (OSTI)

This study assesses the outlook for utility-scale renewable energy development in the West once states have met their renewable portfolio standard (RPS) requirements. In the West, the last state RPS culminates in 2025, so the analysis uses 2025 as a transition point on the timeline of RE development. Most western states appear to be on track to meet their final requirements, relying primarily on renewable resources located relatively close to the customers being served. What happens next depends on several factors including trends in the supply and price of natural gas, greenhouse gas and other environmental regulations, consumer preferences, technological breakthroughs, and future public policies and regulations. Changes in any one of these factors could make future renewable energy options more or less attractive.

Hurlbut, D. J.; McLaren, J.; Gelman, R.

2013-08-01T23:59:59.000Z

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


101

PRELIMINARY CALIFORNIA ENERGY DEMAND FORECAST 2012-2022  

E-Print Network [OSTI]

PRELIMINARY CALIFORNIA ENERGY DEMAND FORECAST 2012-2022 AUGUST 2011 CEC-200-2011-011-SD CALIFORNIA or adequacy of the information in this report. #12;i ACKNOWLEDGEMENTS The staff demand forecast forecast. Mitch Tian prepared the peak demand forecast. Ravinderpal Vaid provided the projections

102

Beyond Renewable Portfolio Standards: An Assessment of Regional Supply and Demand Conditions Affecting the Future of Renewable Energy in the West; Executive Summary  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone6 M. Babzien, I.Program Information AboutBetterBetter National

103

Beyond Renewable Portfolio Standards: An Assessment of Regional Supply and Demand Conditions Affecting the Future of Renewable Energy in the West  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScienceCareers Apply for a JobBernardthe AlcatorBeverlyBeyond(This

104

UK Energy Research Centre Demand Reduction Theme, University of Oxford  

E-Print Network [OSTI]

UK Energy Research Centre Demand Reduction Theme, University of Oxford The Experience of Carbon Energy Research Centre ­ Demand Reduction Theme Environmental Change Institute Oxford University Centre for the Environment South Parks Road Oxford OX1 3QY www.eci.ox.ac.uk www.ukerc.ac.uk #12;UK Energy Research Centre 2 1

105

Agreement for Energy Conservation and Demand Side Management...  

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

agreement between a U.S. Federal agency and a utility company for the implementation of energy conservation measures (ECMs) and demand side management (DSM) services....

106

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

E-Print Network [OSTI]

Total Energy Source Demand Coal, Oil, Gas, Heat, ElectricityEnergy Source Demand per Household Coal, Oil, Gas, Heat,ton of oil equivalent Considerable increases in demand for

Komiyama, Ryoichi

2008-01-01T23:59:59.000Z

107

The Integration of Energy Efficiency, Renewable Energy, Demand Response and Climate Change: Challenges and Opportunities for Evaluators and Planners  

E-Print Network [OSTI]

to inform projected energy and demand reductions in regionaldown to reflect energy and demand savings due to spillover (market and estimate the energy and demand savings associated

Vine, Edward

2007-01-01T23:59:59.000Z

108

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

E-Print Network [OSTI]

Energy. “Benefits of Demand Response in Electricity MarketsEnergy Efficiency and Demand Response?7 3.1.Demand Response in Commercial

Piette, Mary Ann; Kiliccote, Sila

2006-01-01T23:59:59.000Z

109

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

E-Print Network [OSTI]

to everyone at the Demand Response Research Center, theEnergy Efficiency and Demand Response with CommunicatingEnergy Efficiency and Demand Response with Communicating

Herter, Karen

2010-01-01T23:59:59.000Z

110

Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty  

E-Print Network [OSTI]

Energy Resources and Demand Response under Uncertainty AfzalEnergy Resources and Demand Response under Uncertainty ?DER in conjunction with demand response (DR): the expected

Siddiqui, Afzal

2010-01-01T23:59:59.000Z

111

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

E-Print Network [OSTI]

PA. 3. DEMAND RESPONSE IN COMMERCIAL BUILDINGS ElectricityDemand Response and Energy Efficiency in Commercial BuildingsDemand Response and Energy Efficiency in Commercial Buildings

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

2006-01-01T23:59:59.000Z

112

The Economics of Energy (and Electricity) Demand  

E-Print Network [OSTI]

home to charge up at night. 12 The Tesla Roadster is an electric sport car prototype manufactured by Tesla Motors (http://www.teslamotors.com/). 13 This is based on there being around 25 million homes... 25 3.3.2 Electrification of personal transport New sources of electricity demand may emerge which substantially change the total demand for electricity and the way electricity is consumed by the household. The Tesla Roadster12 stores 53 k...

Platchkov, Laura M.; Pollitt, Michael G.

113

Proceedings of the Chinese-American symposium on energy markets and the future of energy demand  

SciTech Connect (OSTI)

The Symposium was organized by the Energy Research Institute of the State Economic Commission of China, and the Lawrence Berkeley Laboratory and Johns Hopkins University from the United States. It was held at the Johns Hopkins University Nanjing Center in late June 1988. It was attended by about 15 Chinese and an equal number of US experts on various topics related to energy demand and supply. Each presenter is one of the best observers of the energy situation in their field. A Chinese and US speaker presented papers on each topic. In all, about 30 papers were presented over a period of two and one half days. Each paper was translated into English and Chinese. The Chinese papers provide an excellent overview of the emerging energy demand and supply situation in China and the obstacles the Chinese planners face in managing the expected increase in demand for energy. These are matched by papers that discuss the energy situation in the US and worldwide, and the implications of the changes in the world energy situation on both countries. The papers in Part 1 provide historical background and discuss future directions. The papers in Part 2 focus on the historical development of energy planning and policy in each country and the methodologies and tools used for projecting energy demand and supply. The papers in Part 3 examine the pattern of energy demand, the forces driving demand, and opportunities for energy conservation in each of the major sectors in China and the US. The papers in Part 4 deal with the outlook for global and Pacific region energy markets and the development of the oil and natural gas sector in China.

Meyers, S. (ed.)

1988-11-01T23:59:59.000Z

114

Coupling Renewable Energy Supply with Deferrable Demand  

E-Print Network [OSTI]

Scale Renewable Energy Integration . . . . . . . . . . .Impacts of Renewable Energy Supply . . . . . . . . . . . . .1.3 Coupling Renewable Energy with Deferrable

Papavasiliou, Anthony

2011-01-01T23:59:59.000Z

115

California Energy Demand Scenario Projections to 2050  

E-Print Network [OSTI]

energy scenarios to explore alternative energy pathways indo not include the alternative energy pathways (such asmodeling to investigate alternative energy supply strategies

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

116

Strategies for reducing energy demand in the materials sector  

E-Print Network [OSTI]

This research answers a key question - can the materials sector reduce its energy demand by 50% by 2050? Five primary materials of steel, cement, aluminum, paper, and plastic, contribute to 50% or more of the final energy ...

Sahni, Sahil

2013-01-01T23:59:59.000Z

117

Global Energy: Supply, Demand, Consequences, Opportunities (LBNL Summer Lecture Series)  

SciTech Connect (OSTI)

Summer Lecture Series 2009: Arun Majumdar, Director of the Environmental Energy Technologies Division, discusses current and future projections of economic growth, population, and global energy demand and supply, and explores the implications of these trends for the environment.

Majumdar, Arun

2008-07-29T23:59:59.000Z

118

Global Energy: Supply, Demand, Consequences, Opportunities (LBNL Summer Lecture Series)  

ScienceCinema (OSTI)

Summer Lecture Series 2009: Arun Majumdar, Director of the Environmental Energy Technologies Division, discusses current and future projections of economic growth, population, and global energy demand and supply, and explores the implications of these trends for the environment.

Majumdar, Arun

2011-04-28T23:59:59.000Z

119

Best Practices: Energy Savings Efficient energy use reduces Colorado State's total energy demand, decreases harmful  

E-Print Network [OSTI]

Best Practices: Energy Savings Efficient energy use reduces Colorado State's total energy demand, decreases harmful emissions, and minimizes the cost of providing energy to the campus. As a result of energy conservation initiatives that have been implemented over the past 20 years, growth in the average demand per

120

California Energy Demand Scenario Projections to 2050  

E-Print Network [OSTI]

64 A. Electricity sector regional1095 APPENDIX A. Electricity sector regional classificationss natural gas and electricity sectors through the year 2050.

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

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


121

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

Programs Integrated Energy Audit Provide engineeringtechnicians performed energy audits and provided advice to8 PG&E’s Integrated Energy Audit, a program for businesses

Goldman, Charles

2010-01-01T23:59:59.000Z

122

Coupling Renewable Energy Supply with Deferrable Demand  

E-Print Network [OSTI]

of locational renewable energy production in each renewableto total renewable energy production, although accountingproduction data from the 2006 data set of the National Renewable Energy

Papavasiliou, Anthony

2011-01-01T23:59:59.000Z

123

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

as marketing and outreach, energy audits, and installationPrograms Integrated Energy Audit Provide engineeringtechnicians performed energy audits and provided advice to

Goldman, Charles

2010-01-01T23:59:59.000Z

124

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

has for years used “New York Energy $mart” as the umbrellaevent days. The New York State Energy Research & DevelopmentEnergy Challenge”). The New York State Energy Research and

Goldman, Charles

2010-01-01T23:59:59.000Z

125

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

E-Print Network [OSTI]

L ABORATORY Japan’s Residential Energy Demand Outlook tol i f o r n i a Japan’s Residential Energy Demand Outlook toParticularly in Japan’s residential sector, where energy

Komiyama, Ryoichi

2008-01-01T23:59:59.000Z

126

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

energy efficiency savings that are achieved through monitoring- based commissioning, as well as documenting best practicesEnergy Efficiency Alliance Sue Gander Director, Environment, Energy, and Natural Resources Division National Governors Association—Center for Best Practices

Goldman, Charles

2010-01-01T23:59:59.000Z

127

Opportunities for Energy Efficiency and Automated Demand Response in Industrial Refrigerated Warehouses in California  

E-Print Network [OSTI]

your Power. (2008). "Demand Response Programs." RetrievedS. (2008). Automated Demand Response Results from Multi-Yearusing Open Automated Demand Response, California Energy

Lekov, Alex

2009-01-01T23:59:59.000Z

128

Examination of the Regional Supply and Demand Balance for Renewable Electricity in the United States through 2015: Projecting from 2009 through 2015 (Revised)  

SciTech Connect (OSTI)

This report examines the balance between the demand and supply of new renewable electricity in the United States on a regional basis through 2015. It expands on a 2007 NREL study that assessed the supply and demand balance on a national basis. As with the earlier study, this analysis relies on estimates of renewable energy supplies compared to demand for renewable energy generation needed to meet existing state renewable portfolio standard (RPS) policies in 28 states, as well as demand by consumers who voluntarily purchase renewable energy. However, it does not address demand by utilities that may procure cost-effective renewables through an integrated resource planning process or otherwise.

Bird, L.; Hurlbut, D.; Donohoo, P.; Cory, K.; Kreycik, C.

2010-06-01T23:59:59.000Z

129

DemandDirect | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address:011-DNA Jump to:52c8ff988c1 No38e4011f618bDeer Park,Dell Prairie,DeltaDemand

130

Energy Demand Modelling Introduction to the PhD project  

E-Print Network [OSTI]

Energy Demand Modelling Introduction to the PhD project Erika Zvingilaite Risø DTU System Analysis for optimization of energy systems Environmental effects Global externalities cost of CO2 Future scenarios for the Nordic energy systems 2010, 2020, 2030, 2040, 2050 (energy-production, consumption, emissions, net costs

131

Examining Synergies between Energy Management and Demand Response: A Case Study at Two California Industrial Facilities  

E-Print Network [OSTI]

Capabilities due to Energy Management Improvement inSummary Introduction Energy Management Demand Responseand Processes Energy Management and Demand Response History

Olsen, Daniel

2013-01-01T23:59:59.000Z

132

Opportunities for Energy Efficiency and Demand Response in the California Cement Industry  

E-Print Network [OSTI]

Opportunities for Energy  Efficiency and Demand Response in Agricultural/Water End?Use Energy Efficiency Program.    i 1   4.0   Energy Efficiency and Demand Response 

Olsen, Daniel

2012-01-01T23:59:59.000Z

133

Energy and Demand Savings from Implementation Costs in Industrial Facilities  

E-Print Network [OSTI]

1 ENERGY AND DEMAND SAVINGS FROM IMPLEMENTATION COSTS IN INDUSTRIAL FACILITIES 1 Razinha, J.A. and Heffington, W.M. Industrial Assessment Center and Mechanical Engineering Department Texas A&M University, College Station, Texas 77843.... noted that a direct calculation of cost savings from the implementation cost could eliminate as much as 30% of the preparation time (and associated cost) for the LoanSTAR reports. The savings result from not having to calculate energy or demand...

Razinha, J. A.; Heffington, W. M.

134

Solar in Demand | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomenthe House Committee on Energy andDepartment ofAnShare yourAof Energy

135

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

to ensure reliability. Capacity market programs: Customerswholesale, forward capacity markets offer new opportunitiesinto the forward-capacity market. Coordination of Energy

Goldman, Charles

2010-01-01T23:59:59.000Z

136

Demand Response - Policy | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA - U.S. DepartmenttoJuneEnergy This document

137

Exhausting Battery Statistics Understanding the energy demands on mobile handsets  

E-Print Network [OSTI]

energy models and resources managers designed for laptops [20] and data cen- ters [4] inapplicableExhausting Battery Statistics Understanding the energy demands on mobile handsets Narseo Vallina.surname@telekom.de ABSTRACT Despite the advances in battery technologies, mobile phones still suffer from severe energy

Cambridge, University of

138

Retrofitting Existing Buildings for Demand Response & Energy Efficiency  

E-Print Network [OSTI]

partnership) · Plug loads, data centers ­ remainder (solution: WTR, WBM) Source: US Energy Information, higher "critical peak" energy charges will be assessed for usage between noon and 6pm. - CustomersRetrofitting Existing Buildings for Demand Response & Energy Efficiency www

California at Los Angeles, University of

139

Load Reduction, Demand Response and Energy Efficient Technologies and Strategies  

SciTech Connect (OSTI)

The Department of Energy’s (DOE’s) Pacific Northwest National Laboratory (PNNL) was tasked by the DOE Office of Electricity (OE) to recommend load reduction and grid integration strategies, and identify additional demand response (energy efficiency/conservation opportunities) and strategies at the Forest City Housing (FCH) redevelopment at Pearl Harbor and the Marine Corps Base Hawaii (MCBH) at Kaneohe Bay. The goal was to provide FCH staff a path forward to manage their electricity load and thus reduce costs at these FCH family housing developments. The initial focus of the work was at the MCBH given the MCBH has a demand-ratchet tariff, relatively high demand (~18 MW) and a commensurate high blended electricity rate (26 cents/kWh). The peak demand for MCBH occurs in July-August. And, on average, family housing at MCBH contributes ~36% to the MCBH total energy consumption. Thus, a significant load reduction in family housing can have a considerable impact on the overall site load. Based on a site visit to the MCBH and meetings with MCBH installation, FCH, and Hawaiian Electric Company (HECO) staff, recommended actions (including a "smart grid" recommendation) that can be undertaken by FCH to manage and reduce peak-demand in family housing are made. Recommendations are also made to reduce overall energy consumption, and thus reduce demand in FCH family housing.

Boyd, Paul A.; Parker, Graham B.; Hatley, Darrel D.

2008-11-19T23:59:59.000Z

140

Distributed Automated Demand Response - Energy Innovation Portal  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phasesDataTranslocation oftheAmperometricEnergy Analysis Energy Analysis

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


141

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network [OSTI]

Net- Energy Buildings with Demand Response Michael Stadler,Net-Energy Buildings with Demand Response 1 Michael Stadlerbuilding simulation tools, e.g. , EnergyPlus, require specification of the demand response

Stadler, Michael

2009-01-01T23:59:59.000Z

142

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network [OSTI]

Administration. 2004a. Annual Energy Outlook 2004. U.S.Assumptions of the Annual Energy Outlook 2004. DOE/EIA-0554(and Definitions AEO – Annual Energy Outlook ArcGIS - ESRI

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

2005-01-01T23:59:59.000Z

143

Oncor Energy Efficiency Programs Solar Photovoltaic and Demand Response  

E-Print Network [OSTI]

Oncor Energy Efficiency Programs Solar Photovoltaic and Demand Response October 10, 2012 ENERGY EFFICIENCY PROGRAMS OVERVIEW ?Program rules and guidelines established by Public Utility Commission of Texas (PUCT) ?All Texas investor... to be administered by transmission-distribution utilities ?Programs are implemented by Energy Efficiency Services Providers and Retail Electric Providers 1 WHY DOES ONCOR DO SOLAR PV? ?Helps meet our energy efficiency goals ?Helps customers reduce...

Tyra, K.; Hanel, J.

2012-01-01T23:59:59.000Z

144

BPA, Energy Northwest launch demand response pilot  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation InInformationCenterResearch HighlightsToolsBES ReportsExperiment Rain drop

145

Regional Energy Baseline  

E-Print Network [OSTI]

ESL-TR-11-09-02 REGIONAL ENERGY BASELINE (1960 ~ 2009) 0 100 200 300 400 500 600 700 800 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 To tal En erg y U se pe r C ap ita (M MB tu) Year Total Energy... Use per Capita (1960-2009) US SEEC 12-States TX Hyojin Kim Juan-Carlos Baltazar, Ph.D. Jeff S. Haberl, Ph.D., P.E. September 2011 ENERGY SYSTEMS LABORATORY Texas Engineering Experiment Station Texas A&M University...

Kim, H.; Baltazar, J.C.; Haberl, J.

146

Measured energy savings and demand reduction from a reflective roof membrane on a large retail store in Austin  

E-Print Network [OSTI]

the abated annual energy and demand expenditures, simplea/c annual abated energy and demand expenditures and presentof future abated energy and demand expenditures is estimated

Konopacki, Steven J.; Akbari, Hashem

2001-01-01T23:59:59.000Z

147

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

E-Print Network [OSTI]

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

Li, Ang

2009-01-01T23:59:59.000Z

148

A dynamic model of industrial energy demand in Kenya  

SciTech Connect (OSTI)

This paper analyses the effects of input price movements, technology changes, capacity utilization and dynamic mechanisms on energy demand structures in the Kenyan industry. This is done with the help of a variant of the second generation dynamic factor demand (econometric) model. This interrelated disequilibrium dynamic input demand econometric model is based on a long-term cost function representing production function possibilities and takes into account the asymmetry between variable inputs (electricity, other-fuels and Tabour) and quasi-fixed input (capital) by imposing restrictions on the adjustment process. Variations in capacity utilization and slow substitution process invoked by the relative input price movement justifies the nature of input demand disequilibrium. The model is estimated on two ISIS digit Kenyan industry time series data (1961 - 1988) using the Iterative Zellner generalized least square method. 31 refs., 8 tabs.

Haji, S.H.H. [Gothenburg Univ. (Sweden)

1994-12-31T23:59:59.000Z

149

California Baseline Energy Demands to 2050 for Advanced Energy Pathways  

E-Print Network [OSTI]

s natural gas and electricity sectors within the timeframeto California’s electricity sector led to rolling blackoutsimpacts on the electricity sector is the hourly demand

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

150

Examination of the Regional Supply and Demand Balance for Renewable...  

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

shortfalls could be addressed through price signals that may accelerate development of renewable energy resources that are currently uneconomic. This is particularly true in...

151

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

E-Print Network [OSTI]

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

Higgins, Lindsey M.

2010-07-14T23:59:59.000Z

152

A study of industrial equipment energy use and demand control  

E-Print Network [OSTI]

Technologies. A battery storage system, capable of providing up to 5, 000 kW was installed (Hunt 1999). The batterics allow the plant's demand peaks to be lowcrcd by using energy stored in the batteries during off-peak periods to provide a portion...

Dooley, Edward Scott

2001-01-01T23:59:59.000Z

153

ENABLING ENERGY DEMAND RESPONSE WITH VEHICULAR MESH NETWORKS  

E-Print Network [OSTI]

ENABLING ENERGY DEMAND RESPONSE WITH VEHICULAR MESH NETWORKS Howard CheHao Chang1, Haining Du2 compared to their counterparts such as laptops in nomad computing or sensor networks. First, vehicles response (DR) [1] for automatic utility usage retrievals and price dispatching. DR is a project in- itiated

Chuah, Chen-Nee

154

An On-demand Minimum Energy Routing Protocol for a Wireless Ad Hoc Network  

E-Print Network [OSTI]

An On-demand Minimum Energy Routing Protocol for a Wireless Ad Hoc Network Sheetalkumar Doshi of an on-demand minimum energy routing protocol and suggests mechanisms for their imple- mentation. We of an on-demand minimum energy routing protocol in terms of energy savings with an existing on-demand ad

155

A Supply-Demand Model Based Scalable Energy Management System for Improved Energy  

E-Print Network [OSTI]

the dependency of an electronic system to primary energy sources (i.e. AC power or battery). For reliable energy generation and consumption parameters. The system uses economics inspired supply-demand modelA Supply-Demand Model Based Scalable Energy Management System for Improved Energy Utilization

Bhunia, Swarup

156

Regionalized Global Energy Scenarios Meeting Stringent Climate Targets  

E-Print Network [OSTI]

and Energy efficiency improvements) · Per capita income increases · Industrialized regions GDP from 20 by IIASA. (Ecological and Energy efficiency improvements) · Per capita income increases #12;Energy demand improvements) · Per capita income increases · Industrialized regions GDP from 20,000 USD/yr to 50,000 USD

157

Tankless or Demand-Type Water Heaters | Department of Energy  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy UsageAUDITVehiclesTankless or Demand-Type Water Heaters Tankless or Demand-Type Water

158

Maximizing Energy Savings Reliability in BC Hydro Industrial Demand-side Management Programs  

E-Print Network [OSTI]

Maximizing Energy Savings Reliability in BC Hydro Industrial Demand-side Management Programs Supervisory Committee Maximizing Energy Savings Reliability in BC Hydro Industrial Demand-side Management of Environmental Studies) Departmental Member For energy utilities faced with expanded jurisdictional energy

Victoria, University of

159

E-Print Network 3.0 - assessment demand-side energy Sample Search...  

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

of Demand Response (DR) and Energy Efficiency (EE... Collaborators: Jose M. Pinto, Praxair Inc., Danbury, CT Nikhil Arora, Praxair Inc., Tonawanda, NY 12;DemandSide......

160

Linking Continuous Energy Management and Open Automated Demand Response  

E-Print Network [OSTI]

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

Piette, Mary Ann

2009-01-01T23:59:59.000Z

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


161

California Baseline Energy Demands to 2050 for Advanced Energy Pathways  

E-Print Network [OSTI]

that energy efficiency or energy intensity for a particularbased upon trends in energy intensity parameters which areBuilding type (12) Energy intensity Industrial Shipments

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

162

Comparison of Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building  

E-Print Network [OSTI]

of Automated Demand Response in a Large Office Building”, inBuilding Control Strategies and Techniques for Demand Response.Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building

Dudley, Junqiao Han

2010-01-01T23:59:59.000Z

163

Division of IT Convergence Engineering Optimal Demand-Side Energy Management Under  

E-Print Network [OSTI]

Division of IT Convergence Engineering Optimal Demand-Side Energy Management Under Real-time Demand of appliance specific adapters. Designed and implemented GHS Modeled the demand-side energy management problem (NP-hard) Designed a scheduling algorithm for demand side energy management Showed that our

Boutaba, Raouf

164

Opportunities for Energy Efficiency and Open Automated Demand Response in Wastewater Treatment Facilities in California -- Phase I Report  

E-Print Network [OSTI]

produce the greatest energy and demand savings. Aeration andand C.Y. Chang (2005). "Energy Demand in Sludge Dewatering."be modified to reduce energy demand during demand response

Lekov, Alex

2010-01-01T23:59:59.000Z

165

Pseudo Dynamic Transitional Modeling of Building Heating Energy Demand Using Artificial1 Neural Network2  

E-Print Network [OSTI]

Transitional Modeling of Building Heating Energy Demand Using Artificial1 Neural Network2 Subodh Paudel a, it is39 essential to know energy flows and energy demand of the buildings for the control of heating and40 cooling energy production from plant systems. The energy demand of the building system, thus,41

Paris-Sud XI, Université de

166

The Impact of Energy Efficiency and Demand Response Programs on the U.S. Electricity Market  

SciTech Connect (OSTI)

This study analyzes the impact of the energy efficiency (EE) and demand response (DR) programs on the grid and the consequent level of production. Changes in demand caused by EE and DR programs affect not only the dispatch of existing plants and new generation technologies, the retirements of old plants, and the finances of the market. To find the new equilibrium in the market, we use the Oak Ridge Competitive Electricity Dispatch Model (ORCED) developed to simulate the operations and costs of regional power markets depending on various factors including fuel prices, initial mix of generation capacity, and customer response to electricity prices. In ORCED, over 19,000 plant units in the nation are aggregated into up to 200 plant groups per region. Then, ORCED dispatches the power plant groups in each region to meet the electricity demands for a given year up to 2035. In our analysis, we show various demand, supply, and dispatch patterns affected by EE and DR programs across regions.

Baek, Young Sun [ORNL; Hadley, Stanton W [ORNL

2012-01-01T23:59:59.000Z

167

Demand Response Resources for Energy and Ancillary Services (Presentation)  

SciTech Connect (OSTI)

Demand response (DR) resources present a potentially important source of grid flexibility particularly on future systems with high penetrations of variable wind an solar power generation. However, DR in grid models is limited by data availability and modeling complexity. This presentation focuses on the co-optimization of DR resources to provide energy and ancillary services in a production cost model of the Colorado test system. We assume each DR resource can provide energy services by either shedding load or shifting its use between different times, as well as operating

Hummon, M.

2014-04-01T23:59:59.000Z

168

An integrated assessment of global and regional water demands for electricity generation to 2095  

SciTech Connect (OSTI)

Electric power plants currently account for approximately one-half of the global industrial water withdrawal. While continued expansion of the electric sector seems likely into the future, the consequent water demands are quite uncertain, and will depend on highly variable water intensities by electricity technologies, at present and in the future. Using GCAM, an integrated assessment model of energy, agriculture, and climate change, we first establish lower-bound, median, and upper-bound estimates for present-day electric sector water withdrawals and consumption by individual electric generation technologies in each of 14 geopolitical regions, and compare them with available estimates of regional industrial or electric sector water use. We then explore the evolution of global and regional electric sector water use over the next century, focusing on uncertainties related to withdrawal and consumption intensities for a variety of electric generation technologies, rates of change of power plant cooling system types, and rates of adoption of a suite of water-saving technologies. Results reveal that the water withdrawal intensity of electricity generation is likely to decrease in the near term with capital stock turnover, as wet towers replace once-through flow cooling systems and advanced electricity generation technologies replace conventional ones. An increase in consumptive use accompanies the decrease in water withdrawal rates; however, a suite of water conservation technologies currently under development could compensate for this increase in consumption. Finally, at a regional scale, water use characteristics vary significantly based on characteristics of the existing capital stock and the selection of electricity generation technologies into the future.

Davies, Evan; Kyle, G. Page; Edmonds, James A.

2013-02-01T23:59:59.000Z

169

Demand Response Energy Consulting LLC | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address:011-DNA Jump to:52c8ff988c1 No38e4011f618bDeer Park,Dell Prairie,DeltaDemand Response

170

Tracking Progress Last updated 5/7/2014 Statewide Energy Demand 1  

E-Print Network [OSTI]

dollars) to $1.8 trillion in 2012 (2012 dollars). Forecast Electricity Demand Although the California Energy Commission's energy demand forecast includes multiple scenarios, the Energy Commission worked together1 to agree upon a single managed demand forecast that incorporates all energy efficiency

171

An On-demand Minimum Energy Routing Protocol for a Wireless Ad Hoc Network  

E-Print Network [OSTI]

An On-demand Minimum Energy Routing Protocol for a Wireless Ad Hoc Network Sheetalkumar Doshi the necessary features of an on-demand minimum energy routing protocol and suggests mechanisms the performance of an on-demand minimum energy routing protocol in terms of energy savings with an existing on

Brown, Timothy X.

172

STRENGTH AND ENERGY DEMANDS FROM THE AUGUST 1999 KOCAELI EARTHQUAKE GROUND MOTIONS  

E-Print Network [OSTI]

STRENGTH AND ENERGY DEMANDS FROM THE AUGUST 1999 KOCAELI EARTHQUAKE GROUND MOTIONS A. Sari 1 and L the demands placed on structures during earthquakes one might also employ an energy-based approach, especially such as absorbed energy (Chou and Uang, 2000) and input energy (Chapman, 1999). Understanding seismic demands

Manuel, Lance

173

Autonomous Demand Side Management Based on Game-Theoretic Energy Consumption  

E-Print Network [OSTI]

Autonomous Demand Side Management Based on Game-Theoretic Energy Consumption Scheduling distributed demand side energy management strategy requires each user to simply apply its best response-average ratio of the total energy demand, the total energy costs, as well as each user's individual daily

Mohsenian-Rad, Hamed

174

ECEEE 2005 SUMMER STUDY WHAT WORKS & WHO DELIVERS? 183 Local energy efficiency and demand-side  

E-Print Network [OSTI]

ECEEE 2005 SUMMER STUDY ­ WHAT WORKS & WHO DELIVERS? 183 1,202 Local energy efficiency and demand be the basis for local energy policies and energy efficiency/demand-side management activities1, have been) activities in 1. DSM: Demand-Side Management; EE: energy efficiency (here, does not include renewable

Paris-Sud XI, Université de

175

Cooling energy demand evaluation by means of regression models obtained from dynamic simulations  

E-Print Network [OSTI]

Cooling energy demand evaluation by means of regression models obtained from dynamic simulations Ph, Université Lyon1, FRANCE ABSTRACT The forecast of the energy heating/cooling demand would be a good indicator between simple and complex methods of evaluating the cooling energy demand we have proposed to use energy

Paris-Sud XI, Université de

176

Dynamic Controls for Energy Efficiency and Demand Response: Framework Concepts and a New Construction Study Case in New York  

E-Print Network [OSTI]

of Fully Automated Demand Response in Large Facilities.for Energy Efficiency and Demand Response”, Proceedings ofAuthority (NYSERDA), the Demand Response Research Center (

Kiliccote, Sila; Piette, Mary Ann; Watson, David S.; Hughes, Glenn

2006-01-01T23:59:59.000Z

177

Dynamic Controls for Energy Efficiency and Demand Response: Framework Concepts and a New Construction Study Case in New York  

E-Print Network [OSTI]

potential demand response in commercial buildings with EMCSbuildings for integrated energy efficiency and demand response (buildings provide an excellent resource for demand response.

Kiliccote, Sila; Piette, Mary Ann; Watson, David S.; Hughes, Glenn

2006-01-01T23:59:59.000Z

178

A critical review of single fuel and interfuel substitution residential energy demand models  

E-Print Network [OSTI]

The overall purpose of this paper is to formulate a model of residential energy demand that adequately analyzes all aspects of residential consumer energy demand behavior and properly treats the penetration of new technologies, ...

Hartman, Raymond Steve

1978-01-01T23:59:59.000Z

179

Energy Use in the Australian Manufacturing Industry: An Analysis of Energy Demand Elasticity  

E-Print Network [OSTI]

Energy Use in the Australian Manufacturing Industry: An Analysis of Energy Demand Elasticity Chris in this paper. Energy consumption data was sourced from the Bureau of Resources and Energy Economics' Australian Energy Statistics publication. Price and income data were sourced from the Australian Bureau

180

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

E-Print Network [OSTI]

No.4 Japan's Long-term Energy Demand and Supply Scenario towe projected Japan's energy demand/supply and energy-relatedcrises (to cut primary energy demand per GDP ( T P E S / G D

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

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


181

Assumption to the Annual Energy Outlook 2014 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA NAOil and GasDemand

182

energy: Supply, Demand, and impacts CooRDinATinG LeAD AUThoR  

E-Print Network [OSTI]

240 chapter 12 energy: Supply, Demand, and impacts CooRDinATinG LeAD AUThoR Vincent C. Tidwell the potential to impact the production, demand, and delivery of energy in a number of ways. Chapter citation;energy: supply, demand, and impacts 241 · Delivery of electricity may become more vulnerable

Kammen, Daniel M.

183

CSEM WP 165R Demand-Side Management and Energy Efficiency  

E-Print Network [OSTI]

CSEM WP 165R Demand-Side Management and Energy Efficiency Revisited Maximilian Auffhammer, Carl, California 94720-5180 www.ucei.org #12;Demand-Side Management and Energy Efficiency Revisited Maximilian associated with energy efficiency demand side management (DSM) programs. This claim is based on point

Auffhammer, Maximilian

184

Real-Time Demand Response with Uncertain Renewable Energy in Smart Grid  

E-Print Network [OSTI]

Real-Time Demand Response with Uncertain Renewable Energy in Smart Grid Libin Jiang and Steven Low manages user load through real-time demand response and purchases balancing power on the spot market and demand response in the presence of uncertain renewable supply and time-correlated demand. The overall

Low, Steven H.

185

Southeast Regional Clean Energy Policy Analysis (Revised)  

SciTech Connect (OSTI)

More than half of the electricity produced in the southeastern states is fuelled by coal. Although the region produces some coal, most of the states depend heavily on coal imports. Many of the region's aging coal power facilities are planned for retirement within the next 20 years. However, estimates indicate that a 20% increase in capacity is needed over that time to meet the rapidly growing demand. The most common incentives for energy efficiency in the Southeast are loans and rebates; however, total public spending on energy efficiency is limited. The most common state-level policies to support renewable energy development are personal and corporate tax incentives and loans. The region produced 1.8% of the electricity from renewable resources other than conventional hydroelectricity in 2009, half of the national average. There is significant potential for development of a biomass market in the region, as well as use of local wind, solar, methane-to-energy, small hydro, and combined heat and power resources. Options are offered for expanding and strengthening state-level policies such as decoupling, integrated resource planning, building codes, net metering, and interconnection standards to support further clean energy development. Benefits would include energy security, job creation, insurance against price fluctuations, increased value of marginal lands, and local and global environmental paybacks.

McLaren, J.

2011-04-01T23:59:59.000Z

186

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

SciTech Connect (OSTI)

As one of the measures to achieve the reduction in greenhouse gas emissions agreed to in the"Kyoto Protocol," an institutional scheme for determining energy efficiency standards for energy-consuming appliances, called the"Top-Runner Approach," was developed by the Japanese government. Its goal is to strengthen the legal underpinnings of various energy conservation measures. Particularly in Japan's residential sector, where energy demand has grown vigorously so far, this efficiency standard is expected to play a key role in mitigating both energy demand growth and the associated CO2 emissions. This paper presents an outlook of Japan's residential energy demand, developed by a stochastic econometric model for the purpose of analyzing the impacts of the Japan's energy efficiency standards, as well as the future stochastic behavior of income growth, demography, energy prices, and climate on the future energy demand growth to 2030. In this analysis, we attempt to explicitly take into consideration more than 30 kinds of electricity uses, heating, cooling and hot water appliances in order to comprehensively capture the progress of energy efficiency in residential energy end-use equipment. Since electricity demand, is projected to exhibit astonishing growth in Japan's residential sector due to universal increasing ownership of electric and other appliances, it is important to implement an elaborate efficiency standards policy for these appliances.

Lacommare, Kristina S H; Komiyama, Ryoichi; Marnay, Chris

2008-05-15T23:59:59.000Z

187

Reducing Energy Demand in Buildings Through State Energy Codes | Department  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in3.pdfEnergyDepartmentEnergy DataRemediated | DepartmentRecruitPumpingStudy

188

EnergySolve Demand Response | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address:011-DNA Jump37. It isInformation Contracts (ESPC) WebinarEnergyConnectEnergySolve

189

Increasing primary energy and electricity demand. Persistent energy deficit situation.  

E-Print Network [OSTI]

greater commercial utilization of solar energy in India. · Determination of market acceptance for SLC (PV, T, and PV/T). · Design Solar Linear Concentrators to address market expectations in India) Grid connected (only 2MWp currently). Technical And Economic Potential Of Solar Linear Concentrators

190

39610 Energy Conversion & Supply (6) 39611 Energy Demand &Utilization (6)  

E-Print Network [OSTI]

. Energy & Environment (12) 19740 (24740) Combustion & Air Pollution Cntrl (12) 19612 Int. Life Cycle:20 12711 Adv. Project Management for Construction (12) 12742 Data Mining in Infrastructure (6) 12750 Infrastructure Systems (12) 12651/751 Air Quality Engr. (9/12) TR10:3011:50/NA 12740 Data Acq

McGaughey, Alan

191

39610 Energy Conversion & Supply (6) 39611 Energy Demand &Utilization (6)  

E-Print Network [OSTI]

() 19740 (24740) Comb. & Air Pollution Ctrl 19612 Int. Life Cycle Assessment (12) 19739 (18875) Econ& Engr Combustion & Air Pollution (12) 24642 Fuel Cell Systems (12)MW9:3011:20 24643 S.T. Electrochem. Energy Course (18) 12711 Adv. Project Management for Construction (12) 12742 Data Mining

McGaughey, Alan

192

Analysis of the influence of residential location on light passenger vehicle energy demand.  

E-Print Network [OSTI]

??New Zealand???s current urban environment assumes a constant availability and affordability of energy (oil) and as such the energy demand of private vehicles is rarely… (more)

Williamson, Mark

2013-01-01T23:59:59.000Z

193

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...

194

Demand-Side Load Scheduling Incentivized by Dynamic Energy Hadi Goudarzi, Safar Hatami, and Massoud Pedram  

E-Print Network [OSTI]

Demand-Side Load Scheduling Incentivized by Dynamic Energy Prices Hadi Goudarzi, Safar Hatami growth in electrical energy consumption under worst- case demand conditions [1]. To avoid expending 90089 {hgoudarz, shatami, pedram}@usc.edu Abstract--Demand response is an important part of the smart

Pedram, Massoud

195

Control and Optimization Meet the Smart Power Grid: Scheduling of Power Demands for Optimal Energy  

E-Print Network [OSTI]

Control and Optimization Meet the Smart Power Grid: Scheduling of Power Demands for Optimal Energy technologies to enforce sensible use of energy through effective demand load management. We envision a scenario con- sumer power demand requests with different power require- ments, durations, and deadlines

Koutsopoulos, Iordanis

196

Demand Response and Smart Metering Policy Actions Since the Energy...  

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

This report represents a review of policy developments on demand response and other related areas such as smart meters and smart grid. It has been prepared by the Demand Response...

197

Tankless or Demand-Type Water Heaters | Department of Energy  

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

Tankless or Demand-Type Water Heaters Tankless or Demand-Type Water Heaters May 2, 2012 - 6:47pm Addthis Diagram of a tankless water heater. Diagram of a tankless water heater. How...

198

Linking Continuous Energy Management and Open Automated Demand Response  

E-Print Network [OSTI]

January 2008. Biography Mary Ann Piette is a Staff ScientistAutomated Demand Response Mary Ann Piette, Sila Kiliccote,

Piette, Mary Ann

2009-01-01T23:59:59.000Z

199

Reducing Energy Demand in Buildings Through State Energy Codes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L dDepartmentnews-flashes Office ofof Energy Redefining9Codes

200

Energy Demands and Efficiency Strategies in Data Center Buildings  

SciTech Connect (OSTI)

Information technology (IT) is becoming increasingly pervasive throughout society as more data is digitally processed, stored, and transferred. The infrastructure that supports IT activity is growing accordingly, and data center energy demands haveincreased by nearly a factor of four over the past decade. Data centers house IT equipment and require significantly more energy to operate per unit floor area thanconventional buildings. The economic and environmental ramifications of continued data center growth motivate the need to explore energy-efficient methods to operate these buildings. A substantial portion of data center energy use is dedicated to removing the heat that is generated by the IT equipment. Using economizers to introduce large airflow rates of outside air during favorable weather could substantially reduce the energy consumption of data center cooling. Cooling buildings with economizers is an established energy saving measure, but in data centers this strategy is not widely used, partly owing to concerns that the large airflow rates would lead to increased indoor levels of airborne particles, which could damage IT equipment. The environmental conditions typical of data centers and the associated potential for equipment failure, however, are not well characterized. This barrier to economizer implementation illustrates the general relationship between energy use and indoor air quality in building design and operation. This dissertation investigates how building design and operation influence energy use and indoor air quality in data centers and provides strategies to improve both design goals simultaneously.As an initial step toward understanding data center air quality, measurements of particle concentrations were made at multiple operating northern California data centers. Ratios of measured particle concentrations in conventional data centers to the corresponding outside concentrations were significantly lower than those reported in the literature for office or residential buildings. Estimates using a material-balance model match well with empirical results, indicating that the dominant particle sources and losses -- ventilation and filtration -- have been characterized. Measurements taken at a data center using economizers show nearly an order of magnitude increase in particle concentration during economizer activity. However, even with the increase, themeasured particle concentrations are still below concentration limits recommended in most industry standards. The research proceeds by exploring the feasibility of using economizers in data centers while simultaneously controlling particle concentrations with high-quality air filtration. Physical and chemical properties of indoor and outdoor particles were analyzed at a data center using economizers and varying levels of air filtration efficiency. Results show that when improved filtration is used in combination with an economizer, the indoor/outdoor concentration ratios for most measured particle types were similar to the measurements when using conventional filtration without economizers. An energy analysis of the data center reveals that, even during the summer months, chiller savings from economizer use greatly outweigh the increase in fan power associated with improved filtration. These findings indicate that economizer use combined with improved filtration couldsignificantly reduce data center energy demand while providing a level of protection from particles of outdoor origin similar to that observed with conventional design. The emphasis of the dissertation then shifts to evaluate the energy benefits of economizer use in data centers under different design strategies. Economizer use with high ventilation rates is compared against an alternative, water-side economizer design that does not affect indoor particle concentrations. Building energy models are employed to estimate energy savings of both economizer designs for data centers in

Shehabi, Arman

2009-09-01T23:59:59.000Z

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


201

Driving change : evaluating strategies to control automotive energy demand growth in China  

E-Print Network [OSTI]

As the number of vehicles in China has relentlessly grown in the past decade, the energy demand, fuel demand and greenhouse gas emissions associated with these vehicles have kept pace. This thesis presents a model to project ...

Bonde Åkerlind, Ingrid Gudrun

2013-01-01T23:59:59.000Z

202

Energy-Agile Laptops: Demand Response of Mobile Plug Loads Using Sensor/Actuator Networks  

E-Print Network [OSTI]

Energy-Agile Laptops: Demand Response of Mobile Plug Loads Using Sensor/Actuator Networks Nathan@me.berkeley.edu Abstract--This paper explores demand response techniques for managing mobile, distributed loads with on observed. Our first simulation study explores a classic demand response scenario in which a large number

Culler, David E.

203

Comfort demand leading the optimization to energy supply from the Smart Grid  

E-Print Network [OSTI]

). The control of loads in the building, may also be a resource to the grid using the flexibilities in service of the grid in Demand Side Management (DSM) scenarios as so called Demand Response (DR) or Load Control (LC). (Callaway and Hiskens 2011) However... of energy management, building management, and comfort management have to be developed to anticipate on the coming possible changes on Demand Side Management by Demand Response (DR) and Load Control (LC). This study is a first step towards...

Aduba,K.; Zeiler,W.; Boxem,G.

2014-01-01T23:59:59.000Z

204

PAN-on-Demand: Leveraging multiple radios to build self-organizing, energy-efficient PANs  

E-Print Network [OSTI]

, it adapts the network struc- ture to minimize energy usage. Our results show that PAN-on- Demand reducesPAN-on-Demand: Leveraging multiple radios to build self-organizing, energy-efficient PANs Manish- area network (PAN) that balances performance and energy con- cerns by scaling the structure

Flinn, Jason

205

Large-Scale Integration of Deferrable Demand and Renewable Energy Sources  

E-Print Network [OSTI]

1 Large-Scale Integration of Deferrable Demand and Renewable Energy Sources Anthony Papavasiliou. In order to accurately assess the impacts of renewable energy integration and demand response integration model for assessing the impacts of the large-scale integration of renewable energy sources

Oren, Shmuel S.

206

Generation Scheduling for Power Systems with Demand Response and a High Penetration of Wind Energy.  

E-Print Network [OSTI]

??With renewable energy sources and demand response programs expanding in many power systems, traditional unit commitment and economic dispatch approaches are inadequate. The power system… (more)

Liu, Guodong

2014-01-01T23:59:59.000Z

207

Sustainable Energy Resources for Consumers (SERC)- On-Demand Tankless Water Heaters  

Broader source: Energy.gov [DOE]

This presentation, aimed at Sustainable Energy Resources for Consumers (SERC) grantees, provides information on Monitoring Checklists for the installation of On-Demand Tankless Water Heaters.

208

Program Strategies and Results for California’s Energy Efficiency and Demand Response Markets  

E-Print Network [OSTI]

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

Ehrhard, R.; Hamilton, G.

2008-01-01T23:59:59.000Z

209

Modeling regional transportation demand in China and the impacts of a national carbon constraint  

E-Print Network [OSTI]

Climate and energy policy in China will have important and uneven impacts on the country’s regionally heterogeneous transport system. In order to simulate these impacts, transport sector detail is added to a multi-sector, ...

Kishimoto, Paul

2015-01-30T23:59:59.000Z

210

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 -Energieprojekte GmbHMilo, Maine:Energy Information23.Energy Demand (MAED-2)

211

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

Reports and Publications (EIA)

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.

2007-01-01T23:59:59.000Z

212

Linking Continuous Energy Management and Open Automated Demand Response  

E-Print Network [OSTI]

Linking Continuous Energy Management and Open AutomatedKeywords: Continuous Energy Management, Automated Demandlinking continuous energy management and continuous

Piette, Mary Ann

2009-01-01T23:59:59.000Z

213

THE CHALLENGES AND OPPORTUNITIES TO MEET THE WORKFORCE DEMAND IN THE ELECTRIC POWER AND ENERGY PROFESSION  

E-Print Network [OSTI]

1 THE CHALLENGES AND OPPORTUNITIES TO MEET THE WORKFORCE DEMAND IN THE ELECTRIC POWER AND ENERGY, Iowa State University ABSTRACT There is a tremendous imbalance between engineering workforce demand and supply in the world in general, and in the US, in particular. The electric power and energy industry

214

Residential energy demand modeling and the NIECS data base : an evaluation  

E-Print Network [OSTI]

The purpose of this report is to evaluate the 1978-79 National Interim Energy Consumption Survey (NIECS) data base in terms of its usefulness for estimating residential energy demand models based on household appliance ...

Cowing, Thomas G.

1982-01-01T23:59:59.000Z

215

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

Reports and Publications (EIA)

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

2005-01-01T23:59:59.000Z

216

Economic development and the structure of the demand for commerial energy  

E-Print Network [OSTI]

To deepen the understanding of the relation between economic development and energy demand, this study estimates the Engel curves that relate per-capita energy consumption in major economic sectors to per-capita GDP. Panel ...

Judson, Ruth A.

217

Economic development and the structure of the demand for commerial energy  

E-Print Network [OSTI]

To deepen understanding of the relation between economic development and energy demand, this study estimates the Engel curves that relate per-capita energy consumption in major economic sectors to per-capita GDP. Panel ...

Judson, Ruth A.; Schmalensee, Richard.; Stoker, Thomas M.

218

1.0 INTRODUCTION As the world's demand for energy continues to grow, unconventional gas will  

E-Print Network [OSTI]

CHAPTER 1 1.0 INTRODUCTION As the world's demand for energy continues to grow, unconventional gas energy source in the world and plays host to a lot of natural gas resources. Between 3,500 and 9

219

Factors Influencing Water Heating Energy Use and Peak Demand in a Large Scale Residential Monitoring Study  

E-Print Network [OSTI]

, as well as obtain improved appliance energy consumption indexes and load profiles. A portion of the monitoring measures water heater energy use and demand in each home on a 15-minute basis....

Bouchelle, M. P.; Parker, D. S.; Anello, M. T.

2000-01-01T23:59:59.000Z

220

Electrical Energy Conservation and Peak Demand Reduction Potential for Buildings in Texas: Preliminary Results  

E-Print Network [OSTI]

This paper presents preliminary results of a study of electrical energy conservation and peak demand reduction potential for the building sector in Texas. Starting from 1980 building stocks and energy use characteristics, technical conservation...

Hunn, B. D.; Baughman, M. L.; Silver, S. C.; Rosenfeld, A. H.; Akbari, H.

1985-01-01T23:59:59.000Z

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


221

The Window Market in Texas: Opportunities for Energy Savings and Demand Reduction  

E-Print Network [OSTI]

The use of high performance windows represents a promising opportunity to reduce energy consumption and summer electrical demand in homes and commercial buildings in Texas and neighboring states. While low-e glass coatings and other energy...

Zarnikau, J.; Campbell, L.

2002-01-01T23:59:59.000Z

222

Calculating Energy and Demand Retrofit Savings for Victoria High School: Interim Report  

E-Print Network [OSTI]

ESL-TR-92/12-03 Calculating Energy and Demand Retrofit Savings For Victoria High School Yue Liu, T. Agami Reddy, S. Katipamula and David E. Claridge. Interim Report Energy Systems Laboratory Texas A&M University College Station, TX 77843 December... 1992 Calculating Energy and Demand Retrofit Savings For Victoria High School Yue Liu, T. Agami Reddy, S. Katipamula and David E. Claridge. Interim Report Energy Systems Laboratory Texas A&M University College Station, TX 77843 December 1992 Abstract...

Liu, Y.; Reddy, T. A.; Katipamula, S.; Claridge, D. E.

1992-01-01T23:59:59.000Z

223

Regional Partnerships | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromising ScienceRecent SRELRecyclingProjectsRegionalRegional

224

Control and Optimization Meet the Smart Power Grid - Scheduling of Power Demands for Optimal Energy Management  

E-Print Network [OSTI]

The smart power grid aims at harnessing information and communication technologies to enhance reliability and enforce sensible use of energy. Its realization is geared by the fundamental goal of effective management of demand load. In this work, we envision a scenario with real-time communication between the operator and consumers. The grid operator controller receives requests for power demands from consumers, with different power requirement, duration, and a deadline by which it is to be completed. The objective is to devise a power demand task scheduling policy that minimizes the grid operational cost over a time horizon. The operational cost is a convex function of instantaneous power consumption and reflects the fact that each additional unit of power needed to serve demands is more expensive as demand load increases.First, we study the off-line demand scheduling problem, where parameters are fixed and known. Next, we devise a stochastic model for the case when demands are generated continually and sched...

Koutsopoulos, Iordanis

2010-01-01T23:59:59.000Z

225

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

E-Print Network [OSTI]

account  demand  response  signals,  building?integrated of Automated Demand Response in Commercial Buildings.  and Demand Response in Commercial  Buildings. , LBNL 

Piette, Mary Ann

2014-01-01T23:59:59.000Z

226

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network [OSTI]

11% oil, 6% coal, and traditional energy. A survey conductedand Renewable Energy Ministry of Coal Ministry of Commerce &in Figure 10, coal represents the largest energy product

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

227

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network [OSTI]

10. Final and Primary Energy Consumption in the Industry35 Figure 16. Primary Energy Consumption byby end users while primary energy consumption includes final

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

228

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network [OSTI]

U.S. DOE, 2006, “Buildings Energy Data Book 2006”, Septembersame period (US Buildings Energy Data Book). Over the next

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

229

A Cumulative Energy Demand indicator (CED), life cycle based, for industrial waste management decision making  

SciTech Connect (OSTI)

Highlights: • We developed a methodology useful to environmentally compare industrial waste management options. • The methodology uses a Net Energy Demand indicator which is life cycle based. • The method was simplified to be widely used, thus avoiding cost driven decisions. • This methodology is useful for governments to promote the best environmental options. • This methodology can be widely used by other countries or regions around the world. - Abstract: Life cycle thinking is a good approach to be used for environmental decision-support, although the complexity of the Life Cycle Assessment (LCA) studies sometimes prevents their wide use. The purpose of this paper is to show how LCA methodology can be simplified to be more useful for certain applications. In order to improve waste management in Catalonia (Spain), a Cumulative Energy Demand indicator (LCA-based) has been used to obtain four mathematical models to help the government in the decision of preventing or allowing a specific waste from going out of the borders. The conceptual equations and all the subsequent developments and assumptions made to obtain the simplified models are presented. One of the four models is discussed in detail, presenting the final simplified equation to be subsequently used by the government in decision making. The resulting model has been found to be scientifically robust, simple to implement and, above all, fulfilling its purpose: the limitation of waste transport out of Catalonia unless the waste recovery operations are significantly better and justify this transport.

Puig, Rita, E-mail: rita.puig@eei.upc.edu [Escola d’Enginyeria d’Igualada (EEI), Universitat Politècnica de Catalunya (UPC), Plaça del Rei, 15, 08700 Igualada (Spain); Fullana-i-Palmer, Pere [UNESCO Chair in Life Cycle and Climate Change, Escola Superior de Comerç Internacional, Universitat Pompeu Fabra (UPF), c/Passeig Pujades, 1, 08003 Barcelona (Spain); Baquero, Grau; Riba, Jordi-Roger [Escola d’Enginyeria d’Igualada (EEI), Universitat Politècnica de Catalunya (UPC), Plaça del Rei, 15, 08700 Igualada (Spain); Bala, Alba [UNESCO Chair in Life Cycle and Climate Change, Escola Superior de Comerç Internacional, Universitat Pompeu Fabra (UPF), c/Passeig Pujades, 1, 08003 Barcelona (Spain)

2013-12-15T23:59:59.000Z

230

A Full Demand Response Model in Co-Optimized Energy and  

SciTech Connect (OSTI)

It has been widely accepted that demand response will play an important role in reliable and economic operation of future power systems and electricity markets. Demand response can not only influence the prices in the energy market by demand shifting, but also participate in the reserve market. In this paper, we propose a full model of demand response in which demand flexibility is fully utilized by price responsive shiftable demand bids in energy market as well as spinning reserve bids in reserve market. A co-optimized day-ahead energy and spinning reserve market is proposed to minimize the expected net cost under all credible system states, i.e., expected total cost of operation minus total benefit of demand, and solved by mixed integer linear programming. Numerical simulation results on the IEEE Reliability Test System show effectiveness of this model. Compared to conventional demand shifting bids, the proposed full demand response model can further reduce committed capacity from generators, starting up and shutting down of units and the overall system operating costs.

Liu, Guodong [ORNL; Tomsovic, Kevin [University of Tennessee, Knoxville (UTK)

2014-01-01T23:59:59.000Z

231

Opportunities for Energy Efficiency and Automated Demand Response in Industrial Refrigerated Warehouses in California  

SciTech Connect (OSTI)

This report summarizes the Lawrence Berkeley National Laboratory's research to date in characterizing energy efficiency and open automated demand response opportunities for industrial refrigerated warehouses in California. The report describes refrigerated warehouses characteristics, energy use and demand, and control systems. It also discusses energy efficiency and open automated demand response opportunities and provides analysis results from three demand response studies. In addition, several energy efficiency, load management, and demand response case studies are provided for refrigerated warehouses. This study shows that refrigerated warehouses can be excellent candidates for open automated demand response and that facilities which have implemented energy efficiency measures and have centralized control systems are well-suited to shift or shed electrical loads in response to financial incentives, utility bill savings, and/or opportunities to enhance reliability of service. Control technologies installed for energy efficiency and load management purposes can often be adapted for open automated demand response (OpenADR) at little additional cost. These improved controls may prepare facilities to be more receptive to OpenADR due to both increased confidence in the opportunities for controlling energy cost/use and access to the real-time data.

Lekov, Alex; Thompson, Lisa; McKane, Aimee; Rockoff, Alexandra; Piette, Mary Ann

2009-05-11T23:59:59.000Z

232

Tankless Demand Water Heater Basics | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: AlternativeEnvironment,Institutes and1 SpecialMaximizingResidential Buildings »Coil andDemand

233

Barriers to reducing energy demand in existing building stock -a perspective based on  

E-Print Network [OSTI]

Barriers to reducing energy demand in existing building stock - a perspective based on observation another radiator." #12;Typical End User Training #12;Demand Side Problem #12;Workman Mis(?)conceptions "If, interviews, probes, home inspections intervention - management committees, "message of the month", magazine

Carletta, Jean

234

Energy Demands and Efficiency Strategies in Data Center Buildings  

E-Print Network [OSTI]

site location into energy-efficient design strategies. Theof IT and non-IT energy efficient design measures (Brown etcenter with an energy-efficient design. A closer evaluation

Shehabi, Arman

2010-01-01T23:59:59.000Z

235

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network [OSTI]

an estimated total energy consumption of 19 GWh (0.07PJ),to 28% in 2005. Total energy consumption in 2020 in thecan have similar total energy consumption but produce very

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

236

Optimal Sizing of Energy Storage and Photovoltaic Power Systems for Demand Charge Mitigation (Poster)  

SciTech Connect (OSTI)

Commercial facility utility bills are often a strong function of demand charges -- a fee proportional to peak power demand rather than total energy consumed. In some instances, demand charges can constitute more than 50% of a commercial customer's monthly electricity cost. While installation of behind-the-meter solar power generation decreases energy costs, its variability makes it likely to leave the peak load -- and thereby demand charges -- unaffected. This then makes demand charges an even larger fraction of remaining electricity costs. Adding controllable behind-the-meter energy storage can more predictably affect building peak demand, thus reducing electricity costs. Due to the high cost of energy storage technology, the size and operation of an energy storage system providing demand charge management (DCM) service must be optimized to yield a positive return on investment (ROI). The peak demand reduction achievable with an energy storage system depends heavily on a facility's load profile, so the optimal configuration will be specific to both the customer and the amount of installed solar power capacity. We explore the sensitivity of DCM value to the power and energy levels of installed solar power and energy storage systems. An optimal peak load reduction control algorithm for energy storage systems will be introduced and applied to historic solar power data and meter load data from multiple facilities for a broad range of energy storage system configurations. For each scenario, the peak load reduction and electricity cost savings will be computed. From this, we will identify a favorable energy storage system configuration that maximizes ROI.

Neubauer, J.; Simpson, M.

2013-10-01T23:59:59.000Z

237

Experts Meeting: Behavioral Economics as Applied to Energy Demand...  

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

- Maps out how to convert the intention to save energy with an actual plan to save energy: - Organizations interact with consumers in many ways in addition to pricing....

238

Regional Systems Development for Geothermal Energy Resources...  

Open Energy Info (EERE)

Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Regional Systems Development for Geothermal Energy Resources Pacific Region (California and Hawaii)....

239

Lifestyle studies Market demand Usage patterns Funding: Calif. Energy Commission, BMW, Calif. ARB, ECOtality  

E-Print Network [OSTI]

as much energy as it consumes. When done in 2014, the 130-acre UC Davis West Village will be home to 3Consumers Lifestyle studies · Market demand · Usage patterns Funding: Calif. Energy Commission, BMW operation · Energy savings Funding: Chrysler, US Dept of Energy Lead researcher: Kevin Nesbitt, Ph

California at Davis, University of

240

June 10, 2013 Canada's energy future meeting demand AND the climate change challenge  

E-Print Network [OSTI]

MEDIA TIP June 10, 2013 Canada's energy future ­meeting demand AND the climate change challenge Energy and business reporters are welcome to attend a high-level energy experts' presentation and panel on "Seeking Common Ground on Canada's Energy Future" during the Pacific Institute for Climate Solutions (PICS

Pedersen, Tom

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


241

1.0 Motivation............................................................................................................2 1.1Overview of Energy Supply and Demand in the 21st  

E-Print Network [OSTI]

............................................................................................................2 1.1Overview of Energy Supply and Demand in the 21st Century..........................2 1.2 UK Energy ...................................................................................24 6.6 Correlation between Wind Strength and Demand for Electricity..................24 6

242

UBC Social Ecological Economic Development Studies (SEEDS) Student Report Demand Side Strategies for Energy Efficiency in University of British Columbia  

E-Print Network [OSTI]

of a project/report". #12;DEMAND&SIDE)STRATEGIES)FOR)ENERGY)EFFICIENCY) INUBC Social Ecological Economic Development Studies (SEEDS) Student Report Demand Side Strategies for Energy Efficiency in University of British Columbia Residences Jennifer Clark, Nate Croft, Liam Fast

243

Potential For Energy, Peak Demand, and Water Savings in California Tomato Processing Facilities  

E-Print Network [OSTI]

of electrical energy in these plants will be shown. Results from potential electrical efficiency, demand response, and natural gas efficiency measures that have applications in tomato processing facilities will be presented. Additionally, water conservation...

Trueblood, A. J.; Wu, Y. Y.; Ganji, A. R.

2013-01-01T23:59:59.000Z

244

Deployment of Behind-The-Meter Energy Storage for Demand Charge...  

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

Deployment of Behind-The- Meter Energy Storage for Demand Charge Reduction J. Neubauer and M. Simpson Technical Report NRELTP-5400-63162 January 2015 NREL is a national laboratory...

245

Cooling Energy Demand Evaluation by Meansof Regression Models Obtained From Dynamic Simulations  

E-Print Network [OSTI]

The forecast of the energy heating/cooling demand would be a good indicator for the choice between different conception solutions according to the building characteristics and the local climate. A previous study (Catalina T. et al 2008...

Catalina, T.; Virgone, J.

2011-01-01T23:59:59.000Z

246

Three Case Studues of the Application of Energy Systems Optimization Best Prectices for Automatic Demand Response  

E-Print Network [OSTI]

This paper summarizes three case study buildings located in Austin, Texas that were selected for inclusion in a review of the demand reduction program of the utility company Austin Energy. The buildings studied include a city government office...

Shi, Y.; Guiberteau, K.; Yagua, C.; Watt, J.

2013-01-01T23:59:59.000Z

247

Conserving Energy with On-Demand Topology Management  

E-Print Network [OSTI]

@cs.uiuc.edu Abstract-- To reduce idle-time energy consumption, nodes in ad hoc networks can switch to a power-save mode], [4]. A common approach to idle- time energy conservation is to switch to a power-save mode where of potential energy savings from proactive and reactive approaches. We show that proactive approaches save

Kravets, Robin

248

The Impact of Neighbourhood Density on the Energy Demand of Passive Houses and on Potential Energy Sources from the Waste Flows and Solar Energy.  

E-Print Network [OSTI]

??This study demonstrates how the density of a neighbourhood affects its energy demand, metabolism (energy and material flows) and its ability to produce its own… (more)

Stupka, Robert

2011-01-01T23:59:59.000Z

249

Energy-Efficient Reliable Paths for On-Demand Routing Protocols Tamer Nadeem, Suman Banerjee, Archan Misra, Ashok Agrawala  

E-Print Network [OSTI]

1 Energy-Efficient Reliable Paths for On-Demand Routing Protocols Tamer Nadeem, Suman Banerjee does not work for on-demand protocols and some additional mechanisms are needed to compute energy-efficient-Demand routing proto- col (AODV), and show how it can be enhanced to compute such energy-efficient reliable paths

Banerjee, Suman

250

EnergyEfficient Reliable Paths for OnDemand Routing Protocols Tamer Nadeem, Suman Banerjee, Archan Misra, Ashok Agrawala  

E-Print Network [OSTI]

1 Energy­Efficient Reliable Paths for On­Demand Routing Protocols Tamer Nadeem, Suman Banerjee does not work for on­demand protocols and some additional mechanisms are needed to compute energy­efficient­Demand routing proto­ col (AODV), and show how it can be enhanced to compute such energy­efficient reliable paths

Banerjee, Suman

251

Design Considerations for an On-Demand Minimum Energy Routing Protocol for a Wireless Ad Hoc Network  

E-Print Network [OSTI]

1 Design Considerations for an On-Demand Minimum Energy Routing Protocol for a Wireless Ad Hoc- demand minimum energy routing protocol and suggests mechanisms for their implementation. We highlight of an 'energy aware' link cache for storing this information. We also compare the performance of an on-demand

Brown, Timothy X.

252

National Action Plan on Demand Response | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGY TAXBalanced Scorecard Federal2 to:DieselEnergy Auditor U.S. Department 6 3 9 12 6 3

253

Energy demand and conservation in Kenya: initial appraisal  

SciTech Connect (OSTI)

Ongoing research into the use and conservation of energy in Kenya is reported briefly. A partial accounting of energy use in Kenya is presented, and evidence that some energy conservation has been taking place is discussed. A fuller accounting for all commercial energy flows is both possible and desirable. The work presented should serve as a basis for further data collection and analysis in Kenya, and can be used as a model for similar efforts in other countries. The author intends to continue much of this energy accounting in Kenya in the latter half of 1980.

Schipper, L.

1980-03-01T23:59:59.000Z

254

Transportation Energy Futures Series: Freight Transportation Demand: Energy-Efficient Scenarios for a Low-Carbon Future  

SciTech Connect (OSTI)

Freight transportation demand is projected to grow to 27.5 billion tons in 2040, and to nearly 30.2 billion tons in 2050. This report describes the current and future demand for freight transportation in terms of tons and ton-miles of commodities moved by truck, rail, water, pipeline, and air freight carriers. It outlines the economic, logistics, transportation, and policy and regulatory factors that shape freight demand, the trends and 2050 outlook for these factors, and their anticipated effect on freight demand. After describing federal policy actions that could influence future freight demand, the report then summarizes the capabilities of available analytical models for forecasting freight demand. This is one in a series of reports produced as a result of the Transportation Energy Futures project, a Department of Energy-sponsored multi-agency effort to pinpoint underexplored strategies for reducing GHGs and petroleum dependence related to transportation.

Grenzeback, L. R.; Brown, A.; Fischer, M. J.; Hutson, N.; Lamm, C. R.; Pei, Y. L.; Vimmerstedt, L.; Vyas, A. D.; Winebrake, J. J.

2013-03-01T23:59:59.000Z

255

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

SciTech Connect (OSTI)

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

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

2003-04-18T23:59:59.000Z

256

High Electric Demand Days: Clean Energy Strategies for Improving Air Quality  

Broader source: Energy.gov [DOE]

This presentation by Art Diem of the State and Local Capacity Building Branch in the U.S. Environmental Protection Agency was part of the July 2008 Webcast sponsored by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Weatherization and Intergovernmental Program Clean Energy and Air Quality Integration Initiative that was titled Role of Energy Efficiency and Renewable Energy in Improving Air Quality and Addressing Greenhouse Gas Reduction Goals on High Electric Demand Days.

257

Generating Demand for Multifamily Building Upgrades | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG | Department of Energy FreeportEnergyPrivacy Act GuidanceGenerating

258

Retail Demand Response in Southwest Power Pool | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September 15,2015Department ofRequirementsEnergyJ u l yEnergyRetail

259

Agreement for Energy Conservation and Demand Side Management Services  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South ValleyASGovLtr.pdfAboutSheet,ProposedEnergySITINGDepartment

260

Demand Response - Policy: More Information | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy CooperationRequirements Matrix U.S. Department of Energy | December 2012 Table of

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


261

Comfort-Aware Home Energy Management Under Market-Based Demand-Response  

E-Print Network [OSTI]

pricing and consumption data in South Korea. Index Terms--smart grid, demand-response, energy management I-based pricing. In peak capping, each home is allocated an energy quota. In market-based pricing, the price-term viable way of regulating energy consumptions. We work with day-ahead market pricing in this paper

Boutaba, Raouf

262

A Multipath Energy-Aware On demand Source Routing Protocol for Mobile Ad-Hoc Networks  

E-Print Network [OSTI]

to re-establish broken routes. Thus, a considerable global energy gain can be achieved by minimizing. The choice of the primary route in MEA-DSR is conditioned by two factors: 1) the residual energy of nodesA Multipath Energy-Aware On demand Source Routing Protocol for Mobile Ad-Hoc Networks S. Chettibi

Boyer, Edmond

263

India Energy Outlook: End Use Demand in India to 2020  

SciTech Connect (OSTI)

Integrated economic models have been used to project both baseline and mitigation greenhouse gas emissions scenarios at the country and the global level. Results of these scenarios are typically presented at the sectoral level such as industry, transport, and buildings without further disaggregation. Recently, a keen interest has emerged on constructing bottom up scenarios where technical energy saving potentials can be displayed in detail (IEA, 2006b; IPCC, 2007; McKinsey, 2007). Analysts interested in particular technologies and policies, require detailed information to understand specific mitigation options in relation to business-as-usual trends. However, the limit of information available for developing countries often poses a problem. In this report, we have focus on analyzing energy use in India in greater detail. Results shown for the residential and transport sectors are taken from a previous report (de la Rue du Can, 2008). A complete picture of energy use with disaggregated levels is drawn to understand how energy is used in India and to offer the possibility to put in perspective the different sources of end use energy consumption. For each sector, drivers of energy and technology are indentified. Trends are then analyzed and used to project future growth. Results of this report provide valuable inputs to the elaboration of realistic energy efficiency scenarios.

de la Rue du Can, Stephane; McNeil, Michael; Sathaye, Jayant

2009-03-30T23:59:59.000Z

264

An overview of energy supply and demand in China  

SciTech Connect (OSTI)

Although China is a poor country, with much of its population still farming for basic subsistence in rural villages, China is rich in energy resources. With the world`s largest hydropower potential, and ranking third behind the US and USSR in coal reserves, China is in a better position than many other developing countries when planning for its future energy development and self-sufficiency. China is now the third largest producer and consumer of commercial energy, but its huge populace dilutes this impressive aggregate performance into a per capita figure which is an order of magnitude below the rich industrialized nations. Despite this fact, it is still important to recognize that China`s energy system is still one of the largest in the world. A system this size allows risk taking and can capture economies of scale. The Chinese have maintained rapid growth in energy production for several decades. In order to continue and fully utilize its abundant resources however, China must successfully confront development challenges in many areas. For example, the geographic distribution of consumption centers poorly matches the distribution of resources, which makes transportation a vital but often weak link in the energy system. Another example -- capital -- is scarce relative to labor, causing obsolete and inefficiently installed technology to be operated well beyond what would be considered its useful life in the West. Major improvements in industrial processes, buildings, and other energy-using equipment and practices are necessary if China`s energy efficiency is to continue to improve. Chinese energy planners have been reluctant to invest in environmental quality at the expense of more tangible production quotas.

Liu, F.; Davis, W.B.; Levine, M.D.

1992-05-01T23:59:59.000Z

265

An overview of energy supply and demand in China  

SciTech Connect (OSTI)

Although China is a poor country, with much of its population still farming for basic subsistence in rural villages, China is rich in energy resources. With the world's largest hydropower potential, and ranking third behind the US and USSR in coal reserves, China is in a better position than many other developing countries when planning for its future energy development and self-sufficiency. China is now the third largest producer and consumer of commercial energy, but its huge populace dilutes this impressive aggregate performance into a per capita figure which is an order of magnitude below the rich industrialized nations. Despite this fact, it is still important to recognize that China's energy system is still one of the largest in the world. A system this size allows risk taking and can capture economies of scale. The Chinese have maintained rapid growth in energy production for several decades. In order to continue and fully utilize its abundant resources however, China must successfully confront development challenges in many areas. For example, the geographic distribution of consumption centers poorly matches the distribution of resources, which makes transportation a vital but often weak link in the energy system. Another example -- capital -- is scarce relative to labor, causing obsolete and inefficiently installed technology to be operated well beyond what would be considered its useful life in the West. Major improvements in industrial processes, buildings, and other energy-using equipment and practices are necessary if China's energy efficiency is to continue to improve. Chinese energy planners have been reluctant to invest in environmental quality at the expense of more tangible production quotas.

Liu, F.; Davis, W.B.; Levine, M.D.

1992-05-01T23:59:59.000Z

266

Draft Chapter 3: Demand-Side Resources | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy CooperationRequirements Matrix U.S.7685 Vol. 76, No. 29DoingSRS-WD-2010-001 Revision 0

267

Assessment of Achievable Potential from Energy Efficiency and Demand  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectricEnergyCT BiomassArnprior, Ontario: EnergyAskja Energy JumpGuide |

268

Watershed Scale Optimization to Meet Sustainable Cellulosic Energy Crop Demands  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of| Department ofDepartment of Energy Watch itEnergyOptimization

269

Hydrogen Demand and Resource Assessment Tool | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation,Ohio:GreerHiCalifornia: Energy ResourcesPark,isHydro orHydroelectricA)

270

Life-Cycle Energy Demand of Computational Logic: From High-Performance 32nm CPU to Ultra-Low-Power 130nm MCU  

E-Print Network [OSTI]

Boyd et al. : “Life-cycle energy demand and global warmingLife-Cycle Energy Demand of Computational Logic: From High-to assess the life-cycle energy demand of its products for

Bol, David; Boyd, Sarah; Dornfeld, David

2011-01-01T23:59:59.000Z

271

Life-Cycle Energy Demand of Computational Logic: From High-Performance 32nm CPU to Ultra-Low-Power 130nm MCU  

E-Print Network [OSTI]

Boyd et al. : “Life-cycle energy demand and global warmingLife-Cycle Energy Demand of Computational Logic: From High-to assess the life-cycle energy demand of its products for

Bol, David; Boyd, Sarah; Dornfeld, David

2011-01-01T23:59:59.000Z

272

Energy and Demand Savings from Implementation Costs in Industrial Facilities  

E-Print Network [OSTI]

Improve Lubrication Practices 0.91 4 na 3 na 0 24 16 487 Use Waste Heat from Hot Flue Gases to Preheat Combustion Air 0.29 483 na 2 0.31 449 25 11 464 Use Synthetic Lubricant 0.03 198 0.03 198 na 0 5 Table 3. National IAC... 2 25 11 Use Synthetic Lubricant 0.00 159 0.00 24 6 Table 4. Texas A&M University IAC Energy Conservation - Implementation Cost Correlations Rank No. TAMU Assessment Recommendation (AR) Total Energy Electrical Consumption Natural...

Razinha, J. A.; Heffington, W. M.

273

Behavioral Economics Applied to Energy Demand Analysis: A Foundation -  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone6 M. Babzien, I. Ben-Zvi, P.2.2 Beamline21BeckyEnergy

274

Advanced Control Technologies and Strategies Linking Demand Response and Energy Efficiency  

E-Print Network [OSTI]

an overview of the economic opportunities for demand responsive control technologies and strategies in commercial buildings. The economic opportunities focus on advanced controls from a building owner’s perspective. The secondary objective is to evaluate.... Table 1 outlines how DR fits into historical demand side management (DSM) concepts. Column three compares DR with energy efficiency and daily peak load management. The emphasis for DR is dynamic control and event driven building response...

Kiliccote, S.; Piette, M. A.

2005-01-01T23:59:59.000Z

275

U.S. Energy Demand, Offshore Oil Production and  

E-Print Network [OSTI]

that is outside of us. Instead, we are a part of a bigger system that comprises us and technology PE departments the Earth The resource size (current balance of a banking account) is mistakenly equated with the speed supply Energy flow-based solutions (wind turbines, photovoltaics, and biofuels) will require most radical

Patzek, Tadeusz W.

276

Opportunities for Energy Efficiency and Open Automated Demand Response in Wastewater Treatment Facilities in California -- Phase I Report  

E-Print Network [OSTI]

best practices that could be applied to form the basis for demand responsebest practices that could be applicable in improving the energy efficiency and demand responsedemand response activities. The following case studies illustrate best practices

Lekov, Alex

2010-01-01T23:59:59.000Z

277

Opportunities for Energy Efficiency and Open Automated Demand Response in Wastewater Treatment Facilities in California -- Phase I Report  

E-Print Network [OSTI]

best practices that could be applicable in improving the energy efficiency and demand responsebest practices that could be applied to form the basis for demand responsedemand response activities. The following case studies illustrate best practices

Lekov, Alex

2010-01-01T23:59:59.000Z

278

Energy Demand in China (Carbon Cycle 2.0)  

ScienceCinema (OSTI)

Lynn Price, LBNL scientist, 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/

Price, Lynn

2011-06-08T23:59:59.000Z

279

Assisting Mexico in Developing Energy Supply and Demand Projections | Open  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartmentAUDIT REPORTOpenWendeGuo Feng Bio EnergyInstituteFunding Jump to:

280

SmartHG: Energy Demand Aware Open Services for Smart Grid Intelligent Automation  

E-Print Network [OSTI]

solar panels)], for each time slot (say each hour) the DNO price policy defines an interval of energySmartHG: Energy Demand Aware Open Services for Smart Grid Intelligent Automation Enrico Tronci.prodanovic,jorn.gruber, barry.hayes}@imdea.org I. INTRODUCTION The SmartHG project [1], [2] has the goal of developing

Tronci, Enrico

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


281

Energy watchers IV. Energy, economics and environment: Imperatives realities, and balance and Pacific Basin Demand and downstream activities: Is Middle East supply the answer  

SciTech Connect (OSTI)

Since 1974, the International Research Center for Energy and Economic Development (ICEED) has been holding annual international energy conferences that seek to bring together the public and private sectors from the United States and overseas in order to facilitate the exchange of views and information. The nineteenth annual international energy sessions on [open quotes]Energy, Economics, and Environment: Imperatives, Realities, and Balance,[close quotes] opened April 21, 1992. The goal was to look at the complex linkage between energy and the environment that cannot be decoupled in the near to medium future. The thirteenth annual international area conference, held from April 23-24, 1992, reflected appreciation and acknowledgement of the primacy of the Arabian/Persian Gulf in international energy trade. The area theme, [open quotes]Pacific Basin Demand and Downstream Activities: Is Middle East Supply the Answer ,[close quotes] was premised on the solidification of trade blocs globally and on these two regions which represent the major areas of growth in energy demand and petroleum supply, respectively. Issues addressed in the papers presented included the impact on the world oil sector of these demand and supply zones in the direction of upstream and downstream investment, the approaches and instruments that may be initiated or honed in terms of joint ventures and supply arrangements in the 1990s, and the possibility that the former USSR will become an energy land bridge between the Pacific Basin and Europe.

El Mallakh, D.H. (ed.)

1993-01-01T23:59:59.000Z

282

Fabricate-on-Demand Vacuum Insulating Glazings | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProvedDecember 2005DepartmentDecember U.S. Department-5 METRIC SUMMARY FY 2015

283

Indianapolis Offers a Lesson on Driving Demand | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietipDepartment ofTheDepartment of2012Pathways toDayThe flier for

284

Assumption to the Annual Energy Outlook 2014 - Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA NA NA NADemand Module

285

Assumption to the Annual Energy Outlook 2014 - Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA NA NA

286

Assumption to the Annual Energy Outlook 2014 - Transportation Demand Module  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA NAOil and

287

Residential Energy Demand Reduction Analysis and Monitoring Platform - REDRAMP  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartment of Energy fromComments onReply CommentsNext-GenerationDryerDramatic Peak

288

International Transportation Energy Demand Determinants (ITEDD): Prototype Results for China  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997EnvironmentElectricity GenerationIndustry

289

Light-Duty Vehicle Energy Demand, Demographics, and Travel Behavior  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997EnvironmentElectricityrgy81 § ¨,43332EIA

290

Behavioral Economics Applied to Energy Demand Analysis: A Foundation  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground8.0.1Vulture SpatialBECOMEBehaviorBehavior

291

Energy Upgrade California Drives Demand From Behind the Wheel | Department  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.Program -Department oftoTheseClick on the graphic to learn more the

292

Network-Driven Demand Side Management Website | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's HeatMexico: EnergyMithunCenter Jump to:2 Rules,NellisAntilles:

293

Regulation Services with Demand Response - Energy Innovation Portal  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST3 AÇORIANONews Mediaexcitation-induced

294

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

Reports and Publications (EIA)

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.

2007-01-01T23:59:59.000Z

295

Opportunities for Energy Efficiency and Demand Response in Corrugated Cardboard Manufacturing Facilities  

E-Print Network [OSTI]

OPPORTUNITIES FOR ENERGY EFFICIENCY AND DEMAND RESPONSE IN CORRUGATED CARDBOARD MANUFACTURING FACILITIES Sandra Chow BASE Energy, Inc.* San Francisco, CA 94103 Ahmad R. Ganji, Ph.D., P.E. San Francisco State University San Francisco, CA....6 Plant F 7 53,307 0.7 Plant G 14 294,544 0.3 Plant H 13 61,553 0.8 Plant I 9 28,945 1.1 Plant J 9 24,759 2.9 Plant K 12 124,854 0.8 Plant L 18 113,640 1.2 MAJOR OPPORTUNITIES IN DEMAND RESPONSE In recent years, due...

Chow, S.; Hackett, B.; Ganji, A. R.

2005-01-01T23:59:59.000Z

296

Demand Response and Open Automated Demand Response  

E-Print Network [OSTI]

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

297

Methodology for Analyzing Energy and Demand Savings From Energy Services Performance Contract Using Short-Term Data  

E-Print Network [OSTI]

..iilJlf t '_:pUIltaD ? (e) (d) ? ? I I , , ., ? BJ ? AmmJl.thm:pIIILt1II:l ....iind?t.m'.m1R.Dl (,) (f) r ~ ~, ~I-----------'l,----------f .. AmmJl.thJII.:p1mt1ll:1 ., February 9, 2009 Energy Systems Laboratory 10 CONCLUSIONSCASE STUDIESMETHODOLOGY DEMAND SAVINGS...METHODOLOGY FOR ANALYZING ENERGY AND DEMAND SAVINGS FROM ENERGY SERVICES PERFORMANCE CONTRACT USING SHORT-TERM DATA Zi Liu, Jeff Haberl, Soolyeon Cho Energy Systems Laboratory Texas A&M University System College Station, TX 77843 Bobby...

Liu, Z.; Haberl, J. S.; Cho, S.; Lynn, B.; Cook, M.

2006-01-01T23:59:59.000Z

298

Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices  

DOE Patents [OSTI]

Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices are described. In one aspect, an electrical power distribution control method includes providing electrical energy from an electrical power distribution system, applying the electrical energy to a load, providing a plurality of different values for a threshold at a plurality of moments in time and corresponding to an electrical characteristic of the electrical energy, and adjusting an amount of the electrical energy applied to the load responsive to an electrical characteristic of the electrical energy triggering one of the values of the threshold at the respective moment in time.

Chassin, David P. (Pasco, WA); Donnelly, Matthew K. (Kennewick, WA); Dagle, Jeffery E. (Richland, WA)

2011-12-06T23:59:59.000Z

299

Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices  

DOE Patents [OSTI]

Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices are described. In one aspect, an electrical power distribution control method includes providing electrical energy from an electrical power distribution system, applying the electrical energy to a load, providing a plurality of different values for a threshold at a plurality of moments in time and corresponding to an electrical characteristic of the electrical energy, and adjusting an amount of the electrical energy applied to the load responsive to an electrical characteristic of the electrical energy triggering one of the values of the threshold at the respective moment in time.

Chassin, David P. (Pasco, WA); Donnelly, Matthew K. (Kennewick, WA); Dagle, Jeffery E. (Richland, WA)

2006-12-12T23:59:59.000Z

300

AWEA Wind Energy Regional Summit: Northeast  

Office of Energy Efficiency and Renewable Energy (EERE)

The AWEA Wind Energy Northeast Regional Summit will connect you with New England-area wind energy professionals and offers the opportunity to discuss significant issues related to land-based and...

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


301

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

SciTech Connect (OSTI)

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 giants', a phenomenon that is expected to continue, accelerate and spread to other countries. This paper explores the potential for slowing energy consumption and greenhouse gas emissions in the residential sector in developing countries and evaluates the potential of energy savings and emissions mitigation through market transformation programs such as, but not limited to Energy Efficiency Standards and Labeling (EES&L). The bottom-up methodology used allows one to identify which end uses and regions have the greatest potential for savings.

Letschert, Virginie; McNeil, Michael A.

2008-05-13T23:59:59.000Z

302

Calibration of an EnergyPlus Building Energy Model to Assess the Impact of Demand Response Measures  

E-Print Network [OSTI]

1 Karine Lavigne Simon Sansregret Ahmed DaoudLouis-Alexandre Leclaire CALIBRATION OF AN ENERGYPLUS BUILDING ENERGY MODEL TO ASSESS THE IMPACT OF DEMAND RESPONSE MEASURES ICEBO 2013, Montr?al Groupe ? Technologie2 ICEBO-2013 Contextualization... ICEBO-2013 Groupe ? Technologie Calibrated Results 22 ICEBO-2013 12 Groupe ? Technologie Conclusion 23 ICEBO-2013 > Calibrating model for a demand response objective : Challenging and High Effort > Capturing building and human erratic behaviour...

Lavigne, K.; Sansregret, S.; Daoud, A.; Leclair, L. A.

2013-01-01T23:59:59.000Z

303

DOE to Participate in Colombian Regional Energy Meeting Ahead...  

Office of Environmental Management (EM)

to Participate in Colombian Regional Energy Meeting Ahead of Energy and Climate Ministerial of the Americas DOE to Participate in Colombian Regional Energy Meeting Ahead of Energy...

304

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

E-Print Network [OSTI]

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

305

DEMAND SIDE ENERGY MANAGEMENT AND CONSERVATION PROGRAM Measurement and Verification Program  

E-Print Network [OSTI]

DEMAND SIDE ENERGY MANAGEMENT AND CONSERVATION PROGRAM Measurement and Verification Program 4 operating hours for the lights in each room a. Assign a usage category to each room in all buildings (e electrical usage and savings in room by room spreadsheet d. Subtotal savings by building

Hofmann, Hans A.

306

DEMAND SIDE ENERGY MANAGEMENT AND CONSERVATION PROGRAM Measurement and Verification Program  

E-Print Network [OSTI]

DEMAND SIDE ENERGY MANAGEMENT AND CONSERVATION PROGRAM Measurement and Verification Program 4 Works Association Research Foundation (AwwaRF) and building demographics for savings calculations 4-retrofit; calculate savings in room by room spreadsheet 5. Pre-retrofit (Process water audit) ­ Walk buildings

Hofmann, Hans A.

307

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

E-Print Network [OSTI]

to cut primary energy demand per GDP ( T P E S / G D P ) inhowever, primary energy supply per GDP decelerated a declineattention to primary energy supply per GDP, per capita GDP

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

308

Deployment of Behind-The-Meter Energy Storage for Demand Charge Reduction  

SciTech Connect (OSTI)

This study investigates how economically motivated customers will use energy storage for demand charge reduction, as well as how this changes in the presence of on-site photovoltaic power generation, to investigate the possible effects of incentivizing increased quantities of behind-the-meter storage. It finds that small, short-duration batteries are most cost effective regardless of solar power levels, serving to reduce short load spikes on the order of 2.5% of peak demand. While profitable to the customer, such action is unlikely to adequately benefit the utility as may be desired, thus highlighting the need for modified utility rate structures or properly structured incentives.

Neubauer, J.; Simpson, M.

2015-01-01T23:59:59.000Z

309

Property:OpenEI/UtilityRate/FlatDemandMonth8 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscotInformation Max Jump to:FlatDemandMonth3 Jump to:FlatDemandMonth8 Jump to:

310

Property:OpenEI/UtilityRate/FlatDemandMonth9 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscotInformation Max Jump to:FlatDemandMonth3 Jump to:FlatDemandMonth8 Jump

311

Multilateral, regional and bilateral energy trade governance  

SciTech Connect (OSTI)

The current international energy trade governance system is fragmented and multi-layered. Streamlining it for greater legal cohesiveness and international political and economic cooperation would promote global energy security. The current article explores three levels of energy trade governance: multilateral, regional and bilateral. Most energy-rich countries are part of the multilateral trading system, which is institutionalized by the World Trade Organization (WTO). The article analyzes the multilateral energy trade governance system by focusing on the WTO and energy transportation issues. Regionally, the article focuses on five major regional agreements and their energy-related aspects and examines the various causes that explain the proliferation of regional trade agreements, their compatibility with WTO law, and then provides several examples of regional energy trade governance throughout the world. When it comes to bilateral energy trade governance, this article only addresses the European Union’s (EU) bilateral energy trade relations. The article explores ways in which gaps could be filled and overlaps eliminated whilst remaining true to the high-level normative framework, concentrating on those measures that would enhance EU energy security.

Leal-Arcas, Rafael; Grasso, Costantino; Rios, Juan Alemany (Queen Mary Univ. of London (United Kingdom))

2014-12-01T23:59:59.000Z

312

Regional Energy Efficiency Programs | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in3.pdfEnergyDepartmentEnergy DataRemediated |Reducing LEDEISARegional Energy

313

SPEER: Building a Regional Energy Efficiency Partnership  

E-Print Network [OSTI]

SPEER: Building a Regional Energy Efficiency Partnership Clean Air Through Energy Efficiency Conference – San Antonio, TX Doug Lewin December 18, 2013 ESL-KT-13-12-52 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas... Dec. 16-18 SPEER • Member-based, non-profit organization • The Newest Regional Energy Efficiency Organization (REEO) • Founded in 2011 • 38 members from wide cross section of E.E. industries ESL-KT-13-12-52 CATEE 2013: Clean Air Through Energy...

Lewin, D.

2013-01-01T23:59:59.000Z

314

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

E-Print Network [OSTI]

of Fully Automated Demand Response in Large Facilities”NYSERDA) and the Demand Response Research Center (LLC “Working Group 2 Demand Response Program Evaluation –

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

2006-01-01T23:59:59.000Z

315

Advanced Control Technologies and Strategies Linking Demand Response and Energy Efficiency  

E-Print Network [OSTI]

Fully Automated Demand Response Tests in Large Facilities”.also provided through the Demand Response Research Center (of Fully Automated Demand Response in Large Facilities”

Kiliccote, Sila; Piette, Mary Ann

2005-01-01T23:59:59.000Z

316

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

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

317

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

E-Print Network [OSTI]

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

Piette, Mary Ann; Kiliccote, Sila

2006-01-01T23:59:59.000Z

318

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

E-Print Network [OSTI]

Demand Response in Commercial Buildings 3.1. Demand Response in Commercial Buildings ElectricityDemand Response: Understanding the DR potential in commercial buildings

Piette, Mary Ann; Kiliccote, Sila

2006-01-01T23:59:59.000Z

319

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

SciTech Connect (OSTI)

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

NONE

1997-01-01T23:59:59.000Z

320

Geothermal Regions | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's Heat Jump to: navigation, search OpenEIOpen Energy InformationEnergy

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


321

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

SciTech Connect (OSTI)

The US Department of Energy has launched the Zero-Net-Energy (ZNE) Commercial Building Initiative (CBI) in order to develop commercial buildings that produce as much energy as they use. Its objective is to make these buildings marketable by 2025 such that they minimize their energy use through cutting-edge energy-efficient technologies and meet their remaining energy needs through on-site renewable energy generation. We examine how such buildings may be implemented within the context of a cost- or carbon-minimizing microgrid that is able to adopt and operate various technologies, such as photovoltaic (PV) on-site generation, heat exchangers, solar thermal collectors, absorption chillers, and passive / demand-response technologies. We use a mixed-integer linear program (MILP) that has a multi-criteria objective function: the minimization of a weighted average of the building's annual energy costs and carbon / CO2 emissions. The MILP's constraints ensure energy balance and capacity limits. In addition, constraining the building's energy consumed to equal its energy exports enables us to explore how energy sales and demand-response measures may enable compliance with the CBI. Using a nursing home in northern California and New York with existing tariff rates and technology data, we find that a ZNE building requires ample PV capacity installed to ensure electricity sales during the day. This is complemented by investment in energy-efficient combined heat and power equipment, while occasional demand response shaves energy consumption. A large amount of storage is also adopted, which may be impractical. Nevertheless, it shows the nature of the solutions and costs necessary to achieve ZNE. For comparison, we analyze a nursing home facility in New York to examine the effects of a flatter tariff structure and different load profiles. It has trouble reaching ZNE status and its load reductions as well as efficiency measures need to be more effective than those in the CA case. Finally, we illustrate that the multi-criteria frontier that considers costs and carbon emissions in the presence of demand response dominates the one without it.

Stadler , Michael; Siddiqui, Afzal; Marnay, Chris; ,, Hirohisa Aki; Lai, Judy

2009-05-26T23:59:59.000Z

322

Regions in Energy Market Models  

SciTech Connect (OSTI)

This report explores the different options for spatial resolution of an energy market model--and the advantages and disadvantages of models with fine spatial resolution. It examines different options for capturing spatial variations, considers the tradeoffs between them, and presents a few examples from one particular model that has been run at different levels of spatial resolution.

Short, W.

2007-02-01T23:59:59.000Z

323

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

SciTech Connect (OSTI)

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

NONE

1998-01-01T23:59:59.000Z

324

INTERNATIONAL ENERGY AGENCY AGENCE INTERNATIONALE DE L'ENERGIE International Energy Conference  

E-Print Network [OSTI]

-21 May 2003 Session 1: Global or Regional Scenarios and Technology Prospects Energy Technology and More Primary Energy DemandWorld Primary Energy Demand IEA WEO Reference Case Oil Natural gas Coal Nuclear power Regional Shares in Primary Energy DemandRegional Shares in Primary Energy Demand IEA WEO Reference Case 69

325

Electricity Demand-Side Management for an Energy Efficient Future in China: Technology Options and Policy Priorities  

E-Print Network [OSTI]

Electricity Demand-Side Management for an Energy Efficient Future in China: Technology Options Neufville Professor of Engineering Systems Chair, ESD Education Committee #12;2 #12;3 Electricity Demand-Side Management for an Energy Efficient Future in China: Technology Options and Policy Priorities By Chia

de Weck, Olivier L.

326

CONSULTANT REPORT DEMAND FORECAST EXPERT  

E-Print Network [OSTI]

CONSULTANT REPORT DEMAND FORECAST EXPERT PANEL INITIAL forecast, end-use demand modeling, econometric modeling, hybrid demand modeling, energyMahon, Carl Linvill 2012. Demand Forecast Expert Panel Initial Assessment. California Energy

327

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

SciTech Connect (OSTI)

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.

NONE

1998-01-01T23:59:59.000Z

328

Advanced Control Technologies and Strategies Linking Demand Response and Energy Efficiency  

E-Print Network [OSTI]

driven building response. Demand Side Management Energybuildings. Table 1 outlines how DR fits into historical demand side management (

Kiliccote, Sila; Piette, Mary Ann

2005-01-01T23:59:59.000Z

329

Projections up for total energy demand by IEA nations in 1990  

SciTech Connect (OSTI)

The author reviews the most recent IEA projections for energy demand to the year 2000 in IEA countries. These show that the expectations for 1990 are now higher than estimates made last year. Production of solid fuels is expected to increase from 814 million toe in 1983 to 1044 million toe in 1990 and 1345 million toe by 2000. Nearly all the increase is expected in the US, Canada and Australia.

Vielvoye, R.

1985-06-17T23:59:59.000Z

330

Property:OpenEI/UtilityRate/FixedDemandChargeMonth8 | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscotInformation Max Jump to: navigation,Information FixedDemandChargeMonth8

331

Property:OpenEI/UtilityRate/FlatDemandMonth4 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscotInformation Max Jump to:FlatDemandMonth3 Jump to: navigation, search This

332

Property:OpenEI/UtilityRate/FlatDemandMonth5 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscotInformation Max Jump to:FlatDemandMonth3 Jump to: navigation, search

333

Property:OpenEI/UtilityRate/FlatDemandMonth6 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscotInformation Max Jump to:FlatDemandMonth3 Jump to: navigation,

334

Property:OpenEI/UtilityRate/FlatDemandMonth7 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscotInformation Max Jump to:FlatDemandMonth3 Jump to:

335

A Multipath Energy-Aware On demand Source Routing Protocol for Mobile Ad-Hoc Networks  

E-Print Network [OSTI]

Energy consumption is the most challenging issue in routing protocol design for mobile ad-hoc networks (MANETs), since mobile nodes are battery powered. Furthermore, replacing or recharging batteries is often impossible in critical environments such as in military or rescue missions. In a MANET, the energy depletion of a node does not affect the node itself only, but the overall network lifetime. In this paper, we present multipath and energy-aware on demand source routing (MEA-DSR) protocol, which exploits route diversity and information about batteries-energy levels for balancing energy consumption between mobile nodes. Simulation results, have shown that MEA-DSR protocol is more energy efficient than DSR in almost mobility scenarios.

Chettibi, Saloua

2009-01-01T23:59:59.000Z

336

Ethanol Demand in United States Regional Production of Oxygenate-limited Gasoline  

SciTech Connect (OSTI)

The Energy Policy Act of 1992 (the Act) outlined a national energy strategy that called for reducing the nation's dependency on petroleum imports. The Act directed the Secretary of Energy to establish a program to promote and expand the use of renewable fuels. The Office of Transportation Technologies (OTT) within the U.S. Department of Energy (DOE) has evaluated a wide range of potential fuels and has concluded that cellulosic ethanol is one of the most promising near-term prospects. Ethanol is widely recognized as a clean fuel that helps reduce emissions of toxic air pollutants. Furthermore, cellulosic ethanol produces less greenhouse gas emissions than gasoline or any of the other alternative transportation fuels being considered by DOE.

Hadder, G.R.

2000-08-01T23:59:59.000Z

337

Mid-Atlantic Regional Wind Energy Institute  

SciTech Connect (OSTI)

As the Department of Energy stated in its 20% Wind Energy by 2030 report, there will need to be enhanced outreach efforts on a national, state, regional, and local level to communicate wind development opportunities, benefits and challenges to a diverse set of stakeholders. To help address this need, PennFuture was awarded funding to create the Mid-Atlantic Regional Wind Energy Institute to provide general education and outreach on wind energy development across Maryland, Virginia, Delaware, Pennsylvania and West Virginia. Over the course of the two-year grant period, PennFuture used its expertise on wind energy policy and development in Pennsylvania and expanded it to other states in the Mid-Atlantic region. PennFuture accomplished this through reaching out and establishing connections with policy makers, local environmental groups, health and economic development organizations, and educational institutions and wind energy developers throughout the Mid-Atlantic region. PennFuture conducted two regional wind educational forums that brought together wind industry representatives and public interest organizations from across the region to discuss and address wind development in the Mid-Atlantic region. PennFuture developed the agenda and speakers in collaboration with experts on the ground in each state to help determine the critical issue to wind energy in each location. The sessions focused on topics ranging from the basics of wind development; model ordinance and tax issues; anti-wind arguments and counter points; wildlife issues and coalition building. In addition to in-person events, PennFuture held three webinars on (1) Generating Jobs with Wind Energy; (2) Reviving American Manufacturing with Wind Power; and (3) Wind and Transmission. PennFuture also created a web page for the institute (http://www.midatlanticwind.org) that contains an online database of fact sheets, research reports, sample advocacy letters, top anti-wind claims and information on how to address them, wind and wildlife materials and sample model ordinances. Video and presentations from each in-person meeting and webinar recordings are also available on the site. At the end of the two-year period, PennFuture has accomplished its goal of giving a unified voice and presence to wind energy advocates in the Mid-Atlantic region. We educated a broad range of stakeholders on the benefits of wind energy and gave them the tools to help make a difference in their states. We grew a database of over 500 contacts and hope to continue the discussion and work around the importance of wind energy in the region.

Courtney Lane

2011-12-20T23:59:59.000Z

338

Local government involvement in long term resource planning for community energy systems. Demand side management  

SciTech Connect (OSTI)

A program was developed to coordinate governmental, research, utility, and business energy savings efforts, and to evaluate future potential actions, based on actual field data obtained during the implementation of Phase I of the State Resource Plan. This has lead to the establishment of a state conservation and energy efficiency fund for the purpose of establishing a DSM Program. By taking a state wide perspective on resource planning, additional savings, including environmental benefits, can be achieved through further conservation and demand management. This effort has already blossomed into a state directive for DSM programs for the natural gas industry.

Not Available

1992-03-01T23:59:59.000Z

339

Property:OpenEI/UtilityRate/DemandWindow | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms JumpEnergyDemandWindow Jump to: navigation,

340

Property:OpenEI/UtilityRate/EnableDemandCharge | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms JumpEnergyDemandWindow Jump to:

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


341

Modeling the effect of climate change on U.S. state-level buildings energy demands in an integrated assessment framework  

SciTech Connect (OSTI)

As long-term socioeconomic transformation and energy service expansion show large spatial heterogeneity, advanced understanding of climate impact on building energy use at the sub-national level will offer useful insights into climate policy and regional energy system planning. In this study, we presented a detailed building energy model with a U.S. state-level representation, nested in the GCAM integrated assessment framework. We projected state-level building energy demand and its spatial pattern over the century, considering the impact of climate change based on the estimates of heating and cooling degree days derived from downscaled USGS CASCaDE temperature data. The result indicates that climate change has a large impact on heating and cooling building energy and fuel use at the state level, exhibiting large spatial heterogeneity across states (ranges from -10% to +10%). The sensitivity analysis reveals that the building energy demand is subject to multiple key factors, such as the magnitude of climate change, the choice of climate models, and the growth of population and GDP, and that their relative contributions vary greatly across the space. The scale impact in building energy use modeling highlights the importance of constructing a building energy model with the spatially-explicit representation of socioeconomics, energy system development, and climate change. These findings will help the climate-based policy decision and energy system, especially utility planning related to building sector at the U.S. state and regional level facing the potential climate change.

Zhou, Yuyu; Clarke, Leon E.; Eom, Jiyong; Kyle, G. Page; Patel, Pralit L.; Kim, Son H.; Dirks, James A.; Jensen, Erik A.; Liu, Ying; Rice, Jennie S.; Schmidt, Laurel C.; Seiple, Timothy E.

2014-01-01T23:59:59.000Z

342

Centre on Innovation and Energy Demand The UK's climate goals are ambitious and challenging. Achieving an 80% reduction in GHG emissions  

E-Print Network [OSTI]

Centre on Innovation and Energy Demand The UK's climate goals are ambitious and challenging demand. While many low-energy innovations represent relatively incremental changes to existing on energy demand and carbon emissions; and to provide practical recommendations for UK energy and climate

Jensen, Max

343

Regional Energy Deployment System (ReEDS)  

SciTech Connect (OSTI)

The Regional Energy Deployment System (ReEDS) is a deterministic optimization model of the deployment of electric power generation technologies and transmission infrastructure throughout the contiguous United States into the future. The model, developed by the National Renewable Energy Laboratory's Strategic Energy Analysis Center, is designed to analyze the critical energy issues in the electric sector, especially with respect to potential energy policies, such as clean energy and renewable energy standards or carbon restrictions. ReEDS provides a detailed treatment of electricity-generating and electrical storage technologies and specifically addresses a variety of issues related to renewable energy technologies, including accessibility and cost of transmission, regional quality of renewable resources, seasonal and diurnal generation profiles, variability of wind and solar power, and the influence of variability on the reliability of the electrical grid. ReEDS addresses these issues through a highly discretized regional structure, explicit statistical treatment of the variability in wind and solar output over time, and consideration of ancillary services' requirements and costs.

Short, W.; Sullivan, P.; Mai, T.; Mowers, M.; Uriarte, C.; Blair, N.; Heimiller, D.; Martinez, A.

2011-12-01T23:59:59.000Z

344

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

SciTech Connect (OSTI)

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

NONE

1995-03-01T23:59:59.000Z

345

Regional analysis of energy facility siting  

SciTech Connect (OSTI)

This paper has examined some of the regional environmental parameters of energy facility siting, with emphasis on air quality impacts. An example of a siting optimization study was presented, and it was shown how difficult it presently is to specify an environmental objective function that is universally applicable. The importance of regional background effects was discussed, and long-range transport models were used to analyze the relative importance of local and long-range impacts.

Lipfert, F W; Meier, P M; Kleinman, L I

1980-01-01T23:59:59.000Z

346

How Can China Lighten Up? Urbanization, Industrialization and Energy Demand Scenarios  

E-Print Network [OSTI]

Japan‘s 2007 primary plastics demand of 107.95 kilograms perChina reaches a lower plastic demand level of 75 kilogramsper capita primary plastics demand was used to estimate per

Aden, Nathaniel T.

2010-01-01T23:59:59.000Z

347

Advanced Control Technologies and Strategies Linking Demand Response and Energy Efficiency  

E-Print Network [OSTI]

and individuals. DEMAND RESPONSE BUILDINGS RESEARCH Recentand event driven building response. Demand Side ManagementDemand Response does not involve human intervention, but is initiated at a home, building,

Kiliccote, Sila; Piette, Mary Ann

2005-01-01T23:59:59.000Z

348

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

E-Print Network [OSTI]

As  we  develop low?energy buildings, the need for models Building Energy Information and Control Systems for Low-Building  Energy  Information  and  Control  Systems  for  Low­

Piette, Mary Ann

2014-01-01T23:59:59.000Z

349

Regional Standards Enforcement Policy | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September 15,2015 |RebeccaRegional Standards Enforcement Policy Regional

350

Opportunities for Energy Efficiency and Automated Demand Response in Industrial Refrigerated Warehouses in California  

E-Print Network [OSTI]

Best Practices. Kiliccote, S. (2008). Automated Demand Responsebest operation practices and behaviors to enhance the impact of DR activities. 1.0 Introduction Background and Overview Demand Response (

Lekov, Alex

2009-01-01T23:59:59.000Z

351

May 29 Tribal Renewable Energy Webinar to Highlight Regional...  

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

9 Tribal Renewable Energy Webinar to Highlight Regional Transmission Planning Efforts May 29 Tribal Renewable Energy Webinar to Highlight Regional Transmission Planning Efforts May...

352

Opportunities for Energy Efficiency and Open Automated Demand Response in Wastewater Treatment Facilities in California -- Phase I Report  

SciTech Connect (OSTI)

This report summarizes the Lawrence Berkeley National Laboratory?s research to date in characterizing energy efficiency and automated demand response opportunities for wastewater treatment facilities in California. The report describes the characteristics of wastewater treatment facilities, the nature of the wastewater stream, energy use and demand, as well as details of the wastewater treatment process. It also discusses control systems and energy efficiency and automated demand response opportunities. In addition, several energy efficiency and load management case studies are provided for wastewater treatment facilities.This study shows that wastewater treatment facilities can be excellent candidates for open automated demand response and that facilities which have implemented energy efficiency measures and have centralized control systems are well-suited to shift or shed electrical loads in response to financial incentives, utility bill savings, and/or opportunities to enhance reliability of service. Control technologies installed for energy efficiency and load management purposes can often be adapted for automated demand response at little additional cost. These improved controls may prepare facilities to be more receptive to open automated demand response due to both increased confidence in the opportunities for controlling energy cost/use and access to the real-time data.

Lekov, Alex; Thompson, Lisa; McKane, Aimee; Song, Katherine; Piette, Mary Ann

2009-04-01T23:59:59.000Z

353

Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty  

SciTech Connect (OSTI)

We take the perspective of a microgrid that has installed distribution energy resources (DER) in the form of distributed generation with combined heat and power applications. Given uncertain electricity and fuel prices, the microgrid minimizes its expected annual energy bill for various capacity sizes. In almost all cases, there is an economic and environmental advantage to using DER in conjunction with demand response (DR): the expected annualized energy bill is reduced by 9percent while CO2 emissions decline by 25percent. Furthermore, the microgrid's risk is diminished as DER may be deployed depending on prevailing market conditions and local demand. In order to test a policy measure that would place a weight on CO2 emissions, we use a multi-criteria objective function that minimizes a weighted average of expected costs and emissions. We find that greater emphasis on CO2 emissions has a beneficial environmental impact only if DR is available and enough reserve generation capacity exists. Finally, greater uncertainty results in higher expected costs and risk exposure, the effects of which may be mitigated by selecting a larger capacity.

Siddiqui, Afzal; Stadler, Michael; Marnay, Chris; Lai, Judy

2010-06-01T23:59:59.000Z

354

Opportunities for Energy Efficiency and Demand Response in the California Cement Industry  

SciTech Connect (OSTI)

This study examines the characteristics of cement plants and their ability to shed or shift load to participate in demand response (DR). Relevant factors investigated include the various equipment and processes used to make cement, the operational limitations cement plants are subject to, and the quantities and sources of energy used in the cement-making process. Opportunities for energy efficiency improvements are also reviewed. The results suggest that cement plants are good candidates for DR participation. The cement industry consumes over 400 trillion Btu of energy annually in the United States, and consumes over 150 MW of electricity in California alone. The chemical reactions required to make cement occur only in the cement kiln, and intermediate products are routinely stored between processing stages without negative effects. Cement plants also operate continuously for months at a time between shutdowns, allowing flexibility in operational scheduling. In addition, several examples of cement plants altering their electricity consumption based on utility incentives are discussed. Further study is needed to determine the practical potential for automated demand response (Auto-DR) and to investigate the magnitude and shape of achievable sheds and shifts.

Olsen, Daniel; Goli, Sasank; Faulkner, David; McKane, Aimee

2010-12-22T23:59:59.000Z

355

Property:OpenEI/UtilityRate/DemandChargePeriod2 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms Jump to:URI Jump to:DemandChargePeriod2 Jump

356

Property:OpenEI/UtilityRate/DemandChargePeriod2FAdj | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms Jump to:URI Jump to:DemandChargePeriod2

357

Property:OpenEI/UtilityRate/DemandChargePeriod4 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms Jump to:URI Jump Name: Demand Charge Period 4

358

Property:OpenEI/UtilityRate/DemandChargePeriod4FAdj | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms Jump to:URI Jump Name: Demand Charge Period

359

Property:OpenEI/UtilityRate/DemandChargePeriod5 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms Jump to:URI Jump Name: Demand Charge

360

Property:OpenEI/UtilityRate/DemandChargePeriod5FAdj | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms Jump to:URI Jump Name: Demand

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


361

Property:OpenEI/UtilityRate/DemandChargePeriod6 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms Jump to:URI Jump Name: DemandNumber. Name:

362

Property:OpenEI/UtilityRate/DemandChargePeriod6FAdj | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms Jump to:URI Jump Name: DemandNumber.

363

Property:OpenEI/UtilityRate/DemandChargePeriod7 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms Jump to:URI Jump Name: DemandNumber.This is a

364

Property:OpenEI/UtilityRate/DemandChargePeriod7FAdj | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms Jump to:URI Jump Name: DemandNumber.This is

365

Property:OpenEI/UtilityRate/DemandChargePeriod8 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms Jump to:URI Jump Name: DemandNumber.This is

366

Property:OpenEI/UtilityRate/DemandChargePeriod8FAdj | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms Jump to:URI Jump Name: DemandNumber.This

367

Property:OpenEI/UtilityRate/DemandChargePeriod9 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms Jump to:URI Jump Name: DemandNumber.This

368

Property:OpenEI/UtilityRate/FlatDemandMonth3 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscotInformation Max Jump to:FlatDemandMonth3 Jump to: navigation, search This is

369

Economic development and the structure of the demand for commercial energy  

SciTech Connect (OSTI)

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

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

1999-07-01T23:59:59.000Z

370

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

SciTech Connect (OSTI)

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

NONE

1995-02-01T23:59:59.000Z

371

World population growth, industrialization, energy demand, and environmental goals are presently driving rapid global change in emissions with complex conse-  

E-Print Network [OSTI]

395 World population growth, industrialization, energy demand, and environmental goals the average transport time is 2­3 weeks (Liu and Mauzerall 2005). Circumpolar trans- port of pollution around

Mauzerall, Denise

372

World population growth, industrialization, energy demand, and environmental goals are presently driving rapid global change in emissions with complex conse-  

E-Print Network [OSTI]

377 World population growth, industrialization, energy demand, and environmental goals the average transport time is 2­3 weeks (Liu and Mauzerall 2005). Circumpolar trans- port of pollution around

Mauzerall, Denise

373

Study of Energy and Demand Savings on a High Efficiency Hydraulic Pump System with Infinite Turn Down Technology (ITDT)  

E-Print Network [OSTI]

Detailed field measurement and verification of electrical energy (kWh) and demand (kW) savings is conducted on an injection molding machine used in typical plastic manufacturing facility retrofitted with a high efficiency hydraulic pump system...

Sfeir, R. A.; Kanungo, A.; Liou, S.

2005-01-01T23:59:59.000Z

374

Striking a Balance Between Energy and the Environment in the Columbia River Basin Regional Power Plan Touts Efficiency to Meet  

E-Print Network [OSTI]

Striking a Balance Between Energy and the Environment in the Columbia River Basin Regional Power equivalent of the power use of a city the size of Seattle. Over time, the energy- efficiency target, to meet future demand. The plan's target for the first five years, 1,200 average megawatts, is the energy

375

China's Building Energy Demand: Long-Term Implications from a Detailed Assessment  

SciTech Connect (OSTI)

We present here a detailed, service-based model of China’s building energy use, nested in the GCAM (Global Change Assessment Model) integrated assessment framework. Using the model, we explore long-term pathways of China’s building energy use and identify opportunities of reducing greenhouse gas emissions. The inclusion of a structural model of building energy demands within an integrated assessment framework represents a major methodological advance. It allows for a structural understanding of the drivers of building energy consumption while simultaneously considering the other human and natural system interactions that influence changes in the global energy system and climate. We also explore a range of different scenarios to gain insights into how China’s building sector might evolve and what the implications might be for improved building energy technology and carbon policies. The analysis suggests that China’s building energy growth will not wane anytime soon, although technology improvement will put downward pressure on this growth. Also, regardless of the scenarios represented, the growth will involve the continued, rapid electrification of the buildings sector throughout the century, and this transition will be accelerated by the implementation of carbon policy.

Eom, Jiyong; Clarke, Leon E.; Kim, Son H.; Kyle, G. Page; Patel, Pralit L.

2012-10-01T23:59:59.000Z

376

Remote area wind energy harvesting for low-power autonomous sensors Abstract--A growing demand for deployment of autonomous  

E-Print Network [OSTI]

Remote area wind energy harvesting for low-power autonomous sensors Abstract--A growing demand wind energy harvesting is presented, with a focus on an anemometer-based solution. By utilizing for localized, independent energy harvesting capabilities for each node. In this paper, a method of remote area

377

Energy Efficiency in Western Utility Resource Plans: Impacts on Regional Resources Assessment and Support for WGA Policies  

E-Print Network [OSTI]

Commission demand-side management energy efficiencyefficiency or other demand-side management programs (seeefficiency or other demand-side management programs (see

Hopper, Nicole; Goldman, Charles; Schlegal, Jeff

2006-01-01T23:59:59.000Z

378

IMPACT Vol. 5 No. 1 | Spring 2010 CLeAn eneRGy DeMAnDS  

E-Print Network [OSTI]

IMPACT Vol. 5 No. 1 | Spring 2010 CLeAn eneRGy DeMAnDS: SCienCe, innovATion, PUBLiC PoLiCy Maryland on foreign oil and become the world leader in tomorrow's clean-energy economy," says Steve Fetter, a former researchers shape the new energy economy #12;impact overview impact overview EnErgy rEsEarcH EnErgy r

Hill, Wendell T.

379

SITN Regional Outreach Map | Department of Energy  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartment of Energy fromCommentsRevolving LoanDepartment of Energy SGSITN Regional

380

Indonesia Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429 Throttled (bot load) Error 429Indiana WindIndonesia Geothermal Region

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


381

Journal of Artificial Intelligence Research 50 (2014) 885-922 Submitted 4/14; published 8/14 Demand Side Energy Management via Multiagent Coordination in  

E-Print Network [OSTI]

Abstract A key challenge in creating a sustainable and energy-efficient society is to make consumer demand propose a novel multiagent coordination algorithm, to shape the energy demand of the cooperativeJournal of Artificial Intelligence Research 50 (2014) 885-922 Submitted 4/14; published 8/14 Demand

Sadeh, Norman M.

382

Residential-energy-demand modeling and the NIECS data base: an evaluation  

SciTech Connect (OSTI)

The purpose of this report is to evaluate the 1978-1979 National Interim Energy Consumption Survey (NIECS) data base in terms of its usefulness for estimating residential energy demand models based on household appliance choice and utilization decisions. The NIECS contains detailed energy usage information at the household level for 4081 households during the April 1978 to March 1979 period. Among the data included are information on the structural and thermal characteristics of the housing unit, demographic characteristics of the household, fuel usage, appliance characteristics, and actual energy consumption. The survey covers the four primary residential fuels-electricity, natural gas, fuel oil, and liquefied petroleum gas - and includes detailed information on recent household conservation and retrofit activities. Section II contains brief descriptions of the major components of the NIECS data set. Discussions are included on the sample frame and the imputation procedures used in NIECS. There are also two extensive tables, giving detailed statistical and other information on most of the non-vehicle NIECS variables. Section III contains an assessment of the NIECS data, focusing on four areas: measurement error, sample design, imputation problems, and additional data needed to estimate appliance choice/use models. Section IV summarizes and concludes the report.

Cowing, T.G.; Dubin, J.A.; McFadden, D.

1982-01-01T23:59:59.000Z

383

Energy and Security in Northeast Asia: Supply and Demand, Conflict and  

E-Print Network [OSTI]

increased to 18 percent, nuclear power's to 15 percent, andgovernment is promoting nuclear power to meet the demand for

Fesharaki, Fereidun; Banaszak, Sarah; WU, Kang; Valencia, Mark J.; Dorian, James P.

1998-01-01T23:59:59.000Z

384

Abstract --Due to the potentially large number of Distributed Energy Resources (DERs) demand response, distributed  

E-Print Network [OSTI]

to accurately estimate the transients caused by demand response is especially important to analyze the stability of the system under different demand response strategies, where dynamics on time scales of seconds to minutes demand response. The aggregated model efficiently includes statistical information of the population

Zhang, Wei

385

Development of a local carbon dioxide emissions inventory based on energy demand and waste production  

SciTech Connect (OSTI)

The paper describes the study that led to the development of a carbon dioxide emissions matrix for the Oeiras municipality, one of the largest Portuguese municipalities, located in the metropolitan area of Lisbon. This matrix takes into account the greenhouse gas (GHG) emissions due to an increase of electricity demand in buildings as well as solid and liquid wastes treatment from the domestic and services sectors. Using emission factors that were calculated from the relationship between the electricity produced and amount of treated wastes, the GHC emissions in the Oeiras municipality were estimated for a time series of 6 yr (1998 - 2003). The obtained results showed that the electricity sector accounts for approximately 75% of the municipal emissions in 2003. This study was developed to obtain tools to base options and actions to be undertaken by local authorities such as energy planning and also public information. 11 refs., 12 tabs.

Joao Gomes; Joana Nascimento; Helena Rodrigues [Instituto Superior de Engenharia de Lisboa, Lisboa (Portugal)

2007-09-15T23:59:59.000Z

386

Transportation Energy Futures Series: Freight Transportation Demand: Energy-Efficient Scenarios for a Low-Carbon Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism in Layered NbS2Topo II: AnTrainingTransportationsearchDEMAND Freight

387

Big Problems. Big Results. Energy demands, environmental impacts, and national security are some of America's toughest challenges.  

E-Print Network [OSTI]

Big Problems. Big Results. Energy demands, environmental impacts, and national security are some-leading expertise in subsurface science is reducing the environmental impacts of human activ- ities. Environmental to size. EMSL, the Environmental Molecular Sciences Laboratory, a U.S. Department of Energy national

388

The Impact of CO2-Based Demand-Controlled Ventilation on Energy Consumptions for Air Source Heat Pumps in Schools  

E-Print Network [OSTI]

There have been increasingly growing concerns for many years over the quality of the air inside buildings and the associated energy use. The CO2-based demand-controlled ventilation DCV offers a great opportunity to reduce energy consumption in HVAC...

AlRaees, N.; Nassif, N.

2013-01-01T23:59:59.000Z

389

A Unit Commitment Model with Demand Response for the Integration of Renewable Energies  

E-Print Network [OSTI]

The output of renewable energy fluctuates significantly depending on weather conditions. We develop a unit commitment model to analyze requirements of the forecast output and its error for renewable energies. Our model obtains the time series for the operational state of thermal power plants that would maximize the profits of an electric power utility by taking into account both the forecast of output its error for renewable energies and the demand response of consumers. We consider a power system consisting of thermal power plants, photovoltaic systems (PV), and wind farms and analyze the effect of the forecast error on the operation cost and reserves. We confirm that the operation cost was increases with the forecast error. The effect of a sudden decrease in wind power is also analyzed. More thermal power plants need to be operated to generate power to absorb this sudden decrease in wind power. The increase in the number of operating thermal power plants within a short period does not affect the total opera...

Ikeda, Yuichi; Kataoka, Kazuto; Ogimoto, Kazuhiko

2011-01-01T23:59:59.000Z

390

Wind energy resources atlas. Volume 1. Northwest region  

SciTech Connect (OSTI)

Information is presented concering regional wind energy resource assessment; regional features; and state features for Idaho, Montana, Oregon, Washington, and Wyoming.

Elliott, D.L.; Barchet, W.R.

1980-04-01T23:59:59.000Z

391

The worldwide demand for green energy systems is evident. In this context, wind energy converters will play a paramount role. Extending the service life of a  

E-Print Network [OSTI]

ABSTRACT The worldwide demand for green energy systems is evident. In this context, wind energy converters will play a paramount role. Extending the service life of a wind energy converter translates and operation of the wind energy converters make it beneficial to know the structural condition

Stanford University

392

Holocene Magmatic Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation,Ohio:GreerHi Gtel JumpHoard, Wisconsin:Holiday59. It isRegion Jump to:

393

Regional Networks for Energy Efficiency | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in3.pdfEnergyDepartmentEnergy DataRemediated |Reducing LEDEISARegional EnergyRegional

394

The addition of a US Rare Earth Element (REE) supply-demand model improves the characterization and scope of the United States Department of Energy's effort to forecast US REE Supply and Demand  

E-Print Network [OSTI]

This paper presents the development of a new US Rare Earth Element (REE) Supply-Demand Model for the explicit forecast of US REE supply and demand in the 2010 to 2025 time period. In the 2010 Department of Energy (DOE) ...

Mancco, Richard

2012-01-01T23:59:59.000Z

395

Recommended Changes to Specifications for Demand Controlled Ventilation in California's Title 24 Building Energy Efficiency Standards  

SciTech Connect (OSTI)

In demand-controlled ventilation (DCV), rates of outdoor air ventilation are automatically modulated as occupant density varies. 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. DCV is most often used in spaces with highly variable and sometime dense occupancy. In almost all cases, carbon dioxide (CO{sub 2}) sensors installed in buildings provide the signal to the ventilation rate control system. People produce and exhale CO{sub 2} as a consequence of their normal metabolic processes; thus, the concentrations of CO{sub 2} inside occupied buildings are higher than the concentrations of CO{sub 2} in the outdoor air. The magnitude of the indoor-outdoor CO{sub 2} concentration difference decreases as the building's ventilation rate per person increases. The difference between the indoor and outdoor CO{sub 2} concentration is also a proxy for the indoor concentrations of other occupant-generated bioeffluents, such as body odors. Reviews of the research literature on DCV indicate a significant potential for energy savings, particularly in buildings or spaces with a high and variable occupancy. Based on modeling, cooling energy savings from applications of DCV are as high as 20%. With support from the California Energy Commission and the U.S. Department of Energy, the Lawrence Berkeley National Laboratory has performed research on the performance of CO{sub 2} sensing technologies and optical people counters for DCV. In addition, modeling was performed to evaluate the potential energy savings and cost effectiveness of using DCV in general office spaces within the range of California climates. The above-described research has implications for the specifications pertaining to DCV in section 121 of the California Title 24 Standard. Consequently, this document suggests possible changes in these specifications based on the research findings. The suggested changes in specifications were developed in consultation with staff from the Iowa Energy Center who evaluated the accuracy of new CO{sub 2} sensors in laboratory-based research. In addition, staff of the California Energy Commission, and their consultants in the area of DCV, provided input for the suggested changes in specifications.

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

2010-04-08T23:59:59.000Z

396

Optimization of Ventilation Energy Demands and Indoor Air Quality in High-Performance Homes  

SciTech Connect (OSTI)

High-performance homes require that ventilation energy demands and indoor air quality (IAQ) be simultaneously optimized. We attempted to bridge these two areas by conducting tests in a research house located in Oak Ridge, TN, that was 20 months old, energy-efficient (i.e., expected to consume 50% less energy than a house built per the 2006 IRC), tightly-built (i.e., natural ventilation rate ~0.02 h-1), unoccupied, and unfurnished. We identified air pollutants of concern in the test home that could generally serve as indicators of IAQ, and conduced field experiments and computer simulations to determine the effectiveness and energy required by various techniques that lessened the concentration of these contaminants. Formaldehyde was selected as the main pollutant of concern among the contaminants that were sampled in the initial survey because it was the only compound that showed concentrations that were greater than the recommended exposure levels. Field data indicate that concentrations were higher during the summer primarily because emissions from sources rise with increases in temperature. Furthermore, supply ventilation and gas-phase filtration were effective means to reduce formaldehyde concentrations; however, exhaust ventilation had minimal influence on this pollutant. Results from simulations suggest that formaldehyde concentrations obtained while ventilating per ASHRAE 62.2-2010 could be decreased by about 20% from May through September through three strategies: 1) increasing ASHRAE supply ventilation by a factor of two, 2) reducing the thermostat setpoint from 76 to 74 F, or 3) running a gas-phase filtration system while decreasing supply ventilation per ASHRAE by half. In the mixed-humid climate of Oak Ridge, these strategies caused increases in electricity cost of ~$5 to ~$15/month depending on outdoor conditions.

Hun, Diana E [ORNL; Jackson, Mark C [University of Texas at Austin; Shrestha, Som S [ORNL

2014-01-01T23:59:59.000Z

397

An Energy-Aware On-Demand Routing Protocol for Ad-Hoc Wireless Networks  

E-Print Network [OSTI]

An ad-hoc wireless network is a collection of nodes that come together to dynamically create a network, with no fixed infrastructure or centralized administration. An ad-hoc network is characterized by energy constrained nodes, bandwidth constrained links and dynamic topology. With the growing use of wireless networks (including ad-hoc networks) for real-time applications, such as voice, video, and real-time data, the need for Quality of Service (QoS) guarantees in terms of delay, bandwidth, and packet loss is becoming increasingly important. Providing QoS in ad-hoc networks is a challenging task because of dynamic nature of network topology and imprecise state information. Hence, it is important to have a dynamic routing protocol with fast re-routing capability, which also provides stable route during the life-time of the flows. In this thesis, we have proposed a novel, energy aware, stable routing protocol named, Stability-based QoS-capable Ad-hoc On-demand Distance Vector (SQ-AODV), which is an enhancement...

Veerayya, Mallapur

2008-01-01T23:59:59.000Z

398

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

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

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

399

Demand and Price Uncertainty: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

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

Scott, K. Rebecca

2013-01-01T23:59:59.000Z

400

Lake Region Electric Cooperative- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Lake Region Electric Cooperative (LREC) offers a variety of rebates for residential customers to improve the energy efficiency of homes. Rebates are available for Energy Star refrigerators and...

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


401

Driving Demand for Home Energy Improvements: Motivating residential customers to invest in comprehensive upgrades that eliminate energy waste, avoid high utility bills, and spur the economy  

SciTech Connect (OSTI)

Policy makers and program designers in the U.S. and abroad are deeply concerned with the question of how to scale up energy efficiency to a level that is commensurate both to the scale of the energy and climate challenges we face, and to the potential for energy savings that has been touted for decades. When policy makers ask what energy efficiency can do, the answers usually revolve around the technical and economic potential of energy efficiency - they rarely hone in on the element of energy demand that matters most for changing energy usage in existing homes: the consumer. A growing literature is concerned with the behavioral underpinnings of energy consumption. We examine a narrower, related subject: How can millions of Americans be persuaded to divert valued time and resources into upgrading their homes to eliminate energy waste, avoid high utility bills, and spur the economy? With hundreds of millions of public dollars flowing into incentives, workforce training, and other initiatives to support comprehensive home energy improvements, it makes sense to review the history of these programs and begin gleaning best practices for encouraging comprehensive home energy improvements. Looking across 30 years of energy efficiency programs that targeted the residential market, many of the same issues that confronted past program administrators are relevant today: How do we cost-effectively motivate customers to take action? Who can we partner with to increase program participation? How do we get residential efficiency programs to scale? While there is no proven formula - and only limited success to date with reliably motivating large numbers of Americans to invest in comprehensive home energy improvements, especially if they are being asked to pay for a majority of the improvement costs - there is a rich and varied history of experiences that new programs can draw upon. Our primary audiences are policy makers and program designers - especially those that are relatively new to the field, such as the over 2,000 towns, cities, states, and regions who are recipients of American Reinvestment and Recovery Act funds for clean energy programs. This report synthesizes lessons from first generation programs, highlights emerging best practices, and suggests methods and approaches to use in designing, implementing, and evaluating these programs. We examined 14 residential energy efficiency programs, conducted an extensive literature review, interviewed industry experts, and surveyed residential contractors to draw out these lessons.

Fuller, Merrian C.

2010-09-20T23:59:59.000Z

402

A Comprehensive Approach to Bi-National Regional Energy Planning in the Pacific Northwest  

SciTech Connect (OSTI)

The Pacific NorthWest Economic Region, a statutory organization chartered by the Northwest states of Alaska, Washington, Idaho, Montana, and Oregon, and the western Canadian provinces of British Columbia, Alberta, and the Yukon through its Energy Working Group launched a bi-national energy planning initiative designed to create a Pacific Northwest energy planning council of regional public/private stakeholders from both Canada and the US. There is an urgent need to deal with the comprehensive energy picture now before our hoped for economic recovery results in energy price spikes which are likely to happen because the current supply will not meet predicted demand. Also recent events of August 14th have shown that our bi-national energy grid system is intricately interdependent, and additional planning for future capacity is desperately needed.

Matt Morrison

2007-12-31T23:59:59.000Z

403

PURDUE UNIVERSITY LEADERSHIP IN ENERGY RESEARCH Recognizing the grand-challenge problems of global energy demands with evidence of climate change  

E-Print Network [OSTI]

PURDUE UNIVERSITY LEADERSHIP IN ENERGY RESEARCH Recognizing the grand-challenge problems of global of energy including fossil fuels, nuclear, solar, wind and bioenergy. The activities incorporate socio energy demands with evidence of climate change and broader environmental impacts, Purdue is building

404

The Impact of Technological Change and Lifestyles on the Energy Demand  

E-Print Network [OSTI]

demand into a model of total private consumption. Private consumption is determined by economic variables of technological and socio- demographic variables on the demand for gasoline/diesel, heating and electricity. Key, households' electricity and heat consumption are growing rapidly despite of technological progress

Steininger, Karl W.

405

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

E-Print Network [OSTI]

A demand-side management framework from building operationsdemand-side management (DSM) framework presented in Table 2 provides three major areas for changing electric loads in buildings:buildings in California. This paper summarizes the integration of DR in demand-side management

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

2006-01-01T23:59:59.000Z

406

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

E-Print Network [OSTI]

a building operations perspective, a demand-side managementdemand-side management (DSM) framework presented in Table 2 provides three major areas for changing electric loads in buildings:buildings in California. This report summarizes the integration of DR in demand-side management

Piette, Mary Ann; Kiliccote, Sila

2006-01-01T23:59:59.000Z

407

The increasing world energy demand, depletion and unequal distribution of fossil resources, and the dangers caused by climate change are the driving forces for the  

E-Print Network [OSTI]

Summary Summary The increasing world energy demand, depletion and unequal distribution of fossil demand, many nations have established new regimes on renewable energy. For instance, the European of alternative energy sources. In view of the GHG emission reduction target agreed upon in the Kyoto protocol

van den Brink, Jeroen

408

Field Verification of Energy and Demand Savings of Two Injection Molding Machines Retrofitted with Variable Frequency Drives  

E-Print Network [OSTI]

Detailed field measurements of energy consumption (kWh) and demand (kW) are conducted on two injection molding machines (IMMs) used in a typical plastic manufacturing facility in the San Francisco Bay Area, with/without Variable Frequency Drives...

Liou, S. P.; Aguiar, D.

409

Unexpected consequences of demand response : implications for energy and capacity price level and volatility  

E-Print Network [OSTI]

Historically, electricity consumption has been largely insensitive to short term spot market conditions, requiring the equating of supply and demand to occur almost exclusively through changes in production. Large scale ...

Levy, Tal Z. (Tal Ze'ev)

2014-01-01T23:59:59.000Z

410

Deployment of Behind-The-Meter Energy Storage for Demand Charge...  

Office of Scientific and Technical Information (OSTI)

It finds that small, short-duration batteries are most cost effective regardless of solar power levels, serving to reduce short load spikes on the order of 2.5% of peak demand....

411

Opportunities for Energy Efficiency and Open Automated Demand Response in Wastewater Treatment Facilities in California -- Phase I Report  

E-Print Network [OSTI]

your Power. (2008). "Demand Response Programs." RetrievedUsing Open Automated Demand Response, Lawrence Berkeley2008). "What is Demand Response?" Retrieved 10/10/2008, from

Lekov, Alex

2010-01-01T23:59:59.000Z

412

Dynamic Controls for Energy Efficiency and Demand Response: Framework Concepts and a New Construction Study Case in New York  

E-Print Network [OSTI]

introduction of a demand-side management (DSM) framework forof building controls. Demand-Side Management Framework forDOE 2006). The demand-side management (DSM) framework

Kiliccote, Sila; Piette, Mary Ann; Watson, David S.; Hughes, Glenn

2006-01-01T23:59:59.000Z

413

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

SciTech Connect (OSTI)

In this analysis, the authors projected Japan's energy demand/supply and energy-related CO{sub 2} emissions to 2050. Their analysis of various scenarios indicated that Japan's CO{sub 2} emissions in 2050 could be potentially reduced by 26-58% from the current level (FY 2005). These results suggest that Japan could set a CO{sub 2} emission reduction target for 2050 at between 30% and 60%. In order to reduce CO{sub 2} emissions by 60% in 2050 from the present level, Japan will have to strongly promote energy conservation at the same pace as an annual rate of 1.9% after the oil crises (to cut primary energy demand per GDP (TPES/GDP) in 2050 by 60% from 2005) and expand the share of non-fossil energy sources in total primary energy supply in 2050 to 50% (to reduce CO{sub 2} emissions per primary energy demand (CO{sub 2}/TPES) in 2050 by 40% from 2005). Concerning power generation mix in 2050, nuclear power will account for 60%, solar and other renewable energy sources for 20%, hydro power for 10% and fossil-fired generation for 10%, indicating substantial shift away from fossil fuel in electric power supply. Among the mitigation measures in the case of reducing CO{sub 2} emissions by 60% in 2050, energy conservation will make the greatest contribution to the emission reduction, being followed by solar power, nuclear power and other renewable energy sources. In order to realize this massive CO{sub 2} abatement, however, Japan will have to overcome technological and economic challenges including the large-scale deployment of nuclear power and renewable technologies.

Komiyama, Ryoichi; Marnay, Chris; Stadler, Michael; Lai, Judy; Borgeson, Sam; Coffey, Brian; Azevedo, Ines Lima

2009-09-01T23:59:59.000Z

414

U.S. electric utility demand-side management 1993  

SciTech Connect (OSTI)

This report presents comprehensive information on electric power industry demand-side management activities in the United States at the national, regional, and utility levels. Data is included for energy savings, peakload reductions, and costs.

NONE

1995-07-01T23:59:59.000Z

415

DC High School Science Bowl Regionals | Department of Energy  

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

DC High School Science Bowl Regionals DC High School Science Bowl Regionals February 22, 2014 1:15PM to 8:15PM EST Department of Energy headquarters - 1000 Independence Ave SW,...

416

U.S. Department of Energy to Host Regional Energy Efficiency...  

Office of Environmental Management (EM)

Host Regional Energy Efficiency Conference in Istanbul, Turkey on June 3-4 U.S. Department of Energy to Host Regional Energy Efficiency Conference in Istanbul, Turkey on June 3-4...

417

Converting 15-Minute Interval Electricity Load Data into Reduced Demand, Energy Reduction and Cash Flow  

E-Print Network [OSTI]

, store managers are intimidated. 5 So what are the solutions? • A data acquisition system. • Pro-active with alarming and demand-response. Is there staff to maintain and ensure a response? • Passive. Acquire the data and then evaluate and assess... is not required, this will prevent the requirement for additional costs of installing an OAT sensor at the building and potentially adding costs to the datalogger hardware or configuration. If possible, it is best to use and on-site OAT sensor. If a demand-response...

Herrin, D. G.

418

Southeast Regional Clean Energy Policy Analysis  

Office of Energy Efficiency and Renewable Energy (EERE)

This report covers the states that largely fall into the Southeastern Reliability Corporation (SERC) region: Alabama, Arkansas, Georgia, Louisiana, Kentucky, Missouri, Mississippi, North Carolina, South Carolina, and Tennessee.

419

regional clean energy application centers | netl.doe.gov  

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

Clean Energy Application Centers (CEACs), formerly called the Combined Heat and Power (CHP) Regional Application Centers (RACs), promote and assist in transforming the market for...

420

Gainesville Regional Utilities- Business Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Gainesville Regional Utilities (GRU) offers an incentive to business customers for upgrading to energy efficient equipment at eligible facilities. Incentives are available for ductwork, insulation,...

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


421

Lake Region Electric Cooperative- Commercial Energy Efficiency Grant Program  

Broader source: Energy.gov [DOE]

Lake Region Electric Cooperative (LREC) offers grants to commercial customers for electric energy efficiency improvements, audits, and engineering and design assistance for new and existing...

422

Energy Department Announces First Regional Gasoline Reserve to...  

Office of Environmental Management (EM)

Ernest Moniz today announced the creation of the first federal regional refined petroleum product reserve containing gasoline. Based on the Energy Department's lessons...

423

Passive Housing for an Aggressive Region | Department of Energy  

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

describes the Capital region and the mission of bringing passive houses to the area. A passive house meets rigorous, voluntary energy efficiency standards and requires little...

424

Scalable, Secure Energy Information Management for Demand-Response Analysis Yogesh Simmhan1,2  

E-Print Network [OSTI]

, pricing, and demand among utility providers and consumers. While the smart meter infrastructure the events streaming from smart meters through the smart grid, to meaningful analysis and feedback for these decisions comes from diverse sources: smart meters that report near real-time power usage and quality

Prasanna, Viktor K.

425

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

E-Print Network [OSTI]

was provided by the New York State Energy and ResearchCalifornia Energy Commission and the New York State Energysupplies of affordable energy. In New York and California,

Piette, Mary Ann; Kiliccote, Sila

2006-01-01T23:59:59.000Z

426

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

E-Print Network [OSTI]

was provided by the New York State Energy and Researchwork was supported by the New York State Energy and Researchsupplies of affordable energy. In New York and California,

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

2006-01-01T23:59:59.000Z

427

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network [OSTI]

and Operation in Zero-Net- Energy Buildings with Demandand Operation in Zero-Net-Energy Buildings with Demandhas launched the Zero-Net- Energy (ZNE) Commercial Building

Stadler, Michael

2009-01-01T23:59:59.000Z

428

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

E-Print Network [OSTI]

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

Piette, Mary Ann; Kiliccote, Sila

2006-01-01T23:59:59.000Z

429

How Can China Lighten Up? Urbanization, Industrialization and Energy Demand Scenarios  

E-Print Network [OSTI]

ammonia production energy intensity lags behind the worldworld best practice primary energy intensity for ethylene productionproduction using only 23% more energy than the current world

Aden, Nathaniel T.

2010-01-01T23:59:59.000Z

430

How Can China Lighten Up? Urbanization, Industrialization and Energy Demand Scenarios  

E-Print Network [OSTI]

urbanization and trade to elucidate the energy and emissionsindustrial energy use, lower urbanization and trade as wellof urbanization rate and trade as well as energy efficiency

Aden, Nathaniel T.

2010-01-01T23:59:59.000Z

431

Fact Sheet: U.S. and China Actions Matter for Global Energy Demand...  

Energy Savers [EERE]

work together to increase energy security through: Fostering transparent and efficient energy markets; Lowering trade barriers, particularly for clean energy and other...

432

How Can China Lighten Up? Urbanization, Industrialization and Energy Demand Scenarios  

E-Print Network [OSTI]

21 Figure 13: Primary Energy Consumption byEffects on Industry Primary Energy Consumption, 1995-share of total primary energy consumption surged even higher

Aden, Nathaniel T.

2010-01-01T23:59:59.000Z

433

How Can China Lighten Up? Urbanization, Industrialization and Energy Demand Scenarios  

E-Print Network [OSTI]

2007. 27 3.2.3 Energy Intensity and Fuel Mix As a result ofEnergy Intensity and Fuel Mix Energy Intensity and Fuel Mix

Aden, Nathaniel T.

2010-01-01T23:59:59.000Z

434

Opportunities for Energy Efficiency and Automated Demand Response in Industrial Refrigerated Warehouses in California  

E-Print Network [OSTI]

white wine production instead of the more energy intensiveand dairy and wine processors. The energy loads in these

Lekov, Alex

2009-01-01T23:59:59.000Z

435

Energy and Security in Northeast Asia: Supply and Demand, Conflict and  

E-Print Network [OSTI]

with coal the main energy supplier for the industry. Theboth potential energy suppliers--Russia and possibly

Fesharaki, Fereidun; Banaszak, Sarah; WU, Kang; Valencia, Mark J.; Dorian, James P.

1998-01-01T23:59:59.000Z

436

Lessons learned from new construction utility demand side management programs and their implications for implementing building energy codes  

SciTech Connect (OSTI)

This report was prepared for the US Department of Energy (DOE) Office of Codes and Standards by the Pacific Northwest Laboratory (PNL) through its Building Energy Standards Program (BESP). The purpose of this task was to identify demand-side management (DSM) strategies for new construction that utilities have adopted or developed to promote energy-efficient design and construction. PNL conducted a survey of utilities and used the information gathered to extrapolate lessons learned and to identify evolving trends in utility new-construction DSM programs. The ultimate goal of the task is to identify opportunities where states might work collaboratively with utilities to promote the adoption, implementation, and enforcement of energy-efficient building energy codes.

Wise, B.K.; Hughes, K.R.; Danko, S.L.; Gilbride, T.L.

1994-07-01T23:59:59.000Z

437

Opportunities for Energy Efficiency and Automated Demand Response in Industrial Refrigerated Warehouses in California  

E-Print Network [OSTI]

Best Practices Guide. Walla Walla, WA, Cascade Energy Engineering, Inc. , Northwest Energy EfficiencyBest Practices Guide. Walla Walla, WA, Cascade Energy Engineering, Inc. , Northwest Energy EfficiencyBest Practices Guide. Walla Walla, WA, Cascade Energy Engineering, Inc. , Northwest Energy Efficiency

Lekov, Alex

2009-01-01T23:59:59.000Z

438

ASHRAE's Guideline 14-2002 for Measurement of Energy and Demand Savings: How to Determine What Was Really Saved by the Retrofit  

E-Print Network [OSTI]

developed standards for the laboratory measurement of temperature, pressure, airflow, liquid flow, power, thermal energy, and the testing standards for chillers, fans, pumps, motors, boilers, and furnaces. Guideline 14 also relied on the previous work... Guideline 14-2002 to fill a need for a standard set of energy (and demand) savings calculation procedures. Guideline 14-2002 is intended to be a guideline that provides a minimum acceptable level of performance in the measurement of energy and demand...

Haberl, J. S.; Claridge, D. E.; Culp, C.

2005-01-01T23:59:59.000Z

439

Lake Region Electric Cooperative | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey, Washington: EnergyPocotopaug, Connecticut: Energy Resources JumpElectric

440

Lake Region Electric Cooperative | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey, Washington: EnergyPocotopaug, Connecticut: Energy Resources

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


441

Philippines Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County, Maine: Energy Resources2003) |Facility | Open Energy0) Techniques (0)

442

THE MAGNETIC ENERGY-HELICITY DIAGRAM OF SOLAR ACTIVE REGIONS  

SciTech Connect (OSTI)

Using a recently proposed nonlinear force-free method designed for single-vector magnetograms of solar active regions, we calculate the instantaneous free magnetic energy and relative magnetic helicity budgets in 162 vector magnetograms corresponding to 42 different active regions. We find a statistically robust, monotonic correlation between the free magnetic energy and the relative magnetic helicity in the studied regions. This correlation implies that magnetic helicity, in addition to free magnetic energy, may be an essential ingredient for major solar eruptions. Eruptive active regions appear well segregated from non-eruptive ones in both free energy and relative helicity with major (at least M-class) flares occurring in active regions with free energy and relative helicity exceeding 4 Multiplication-Sign 10{sup 31} erg and 2 Multiplication-Sign 10{sup 42} Mx{sup 2}, respectively. The helicity threshold agrees well with estimates of the helicity contents of typical coronal mass ejections.

Tziotziou, Kostas; Georgoulis, Manolis K. [Research Center for Astronomy and Applied Mathematics (RCAAM), Academy of Athens, 4 Soranou Efesiou Street, Athens, GR-11527 (Greece); Raouafi, Nour-Eddine [Johns Hopkins University Applied Physics Laboratory (JHU/APL), 11100 Johns Hopkins Rd. Laurel, MD 20723-6099 (United States)

2012-11-01T23:59:59.000Z

443

Wind energy resource atlas. Volume 4. The Northeast region  

SciTech Connect (OSTI)

This atlas of the wind energy resource is composed of introductory and background information, a regional summary of the wind resource, and assessments of the wind resource in each state of the region. Background is presented on how the wind resource is assessed and on how the results of the assessment should be interpreted. A description of the wind resource on a regional scale is then given. The results of the wind energy assessments for each state are assembled in this chapter into an overview and summary of the various features of the regional wind energy resource. An introduction and outline are provided for in the descriptions of the wind resource given for each state. Assessments for individual states are presented. The state wind energy resources are described in greater detail than is the regional wind energy resource, and features of selected stations are discussed. This preface outlines the use and interpretation of the information found in the state chapters.

Pickering, K.E.; Vilardo, J.M.; Schakenbach, J.T.; Elliott, D.L.; Barchet, W.R.; George, R.L.

1980-09-01T23:59:59.000Z

444

Energy Research in the Oldenburg Region  

E-Print Network [OSTI]

institutions and companies developing modern, efficient and climate friendly energy systems. Energy research the title"Intelligent Data Center"innovative highly dynamic system management solutions are developed.offis.de #12;Fraunhofer Institute for ManufacturingTechnology and Applied Materials Research A new project

445

Northwest Region Clean Energy Application Center  

SciTech Connect (OSTI)

The main objective of the Northwest Clean Energy Application Center (NW CEAC) is to promote and support implementation of clean energy technologies. These technologies include combined heat and power (CHP), district energy, waste heat recovery with a primary focus on waste heat to power, and other related clean energy systems such as stationary fuel cell CHP systems. The northwest states include AK, ID, MT, OR, and WA. The key aim/outcome of the Center is to promote and support implementation of clean energy projects. Implemented projects result in a number of benefits including increased energy efficiency, renewable energy development (when using opportunity fuels), reduced carbon emissions, improved facility economics helping to preserve jobs, and reduced criteria pollutants calculated on an output-based emissions basis. Specific objectives performed by the NW CEAC fall within the following five broad promotion and support categories: 1) Center management and planning including database support; 2) Education and Outreach including plan development, website, target market workshops, and education/outreach materials development 3) Identification and provision of screening assessments & feasibility studies as funded by the facility or occasionally further support of Potential High Impact Projects; 4) Project implementation assistance/trouble shooting; and 5) Development of a supportive clean energy policy and initiative/financing framework.

Sjoding, David

2013-09-30T23:59:59.000Z

446

How Can China Lighten Up? Urbanization, Industrialization and Energy Demand Scenarios  

E-Print Network [OSTI]

430 million tonnes coal-equivalent energy use by 2025. More187 kilograms of coal equivalent primary energy use for eachof usable acquired energy from coal, oil and natural over

Aden, Nathaniel T.

2010-01-01T23:59:59.000Z

447

How Can China Lighten Up? Urbanization, Industrialization and Energy Demand Scenarios  

E-Print Network [OSTI]

urban and rural total energy consumption per square meter ofas % Industry Total Energy Consumption Source: NBS 1.3.2its share of total primary energy consumption surged even

Aden, Nathaniel T.

2010-01-01T23:59:59.000Z

448

How Can China Lighten Up? Urbanization, Industrialization and Energy Demand Scenarios  

E-Print Network [OSTI]

Agency. 2008. ?2008 World Energy Outlook. ? Japan Petroleumbelow the 2008 World Energy Outlook‘s projection (FigureSource: IEA, 2008 World Energy Outlook; LBNL CLU Model. 4.2

Aden, Nathaniel T.

2010-01-01T23:59:59.000Z

449

Energy Demand and Emissions in Building in China: Scenarios and Policy Options  

E-Print Network [OSTI]

Recent rapid growth of energy use in China exerts great pressure on the energy supply and environment. This study provides scenarios of future energy development in buildings, including urban residential, rural residential and service sectors (not...

Kejun, J.; Xiulian, H.

2006-01-01T23:59:59.000Z

450

How Can China Lighten Up? Urbanization, Industrialization and Energy Demand Scenarios  

E-Print Network [OSTI]

List of Tables Table 1: Rural Energy Shares Table 2: UrbanLikewise, the urban-rural energy disparity is also readilyimply that all the rural energy services provided by biomass

Aden, Nathaniel T.

2010-01-01T23:59:59.000Z

451

Demand Side Energy Saving though Proper Construction Practices and Materials Selection  

E-Print Network [OSTI]

Energy consumed during the construction of buildings and structures, including the embodied energy of the concrete and other construction materials, represent a considerable percentage that may reach 40% of the total energy consumed during the whole...

El-Hawary, M.

2010-01-01T23:59:59.000Z

452

Identification of Changes Needed in Supermarket Design for Energy Demand Reduction  

E-Print Network [OSTI]

Supermarkets use 3 percent of UK energy. To satisfy building regulations supermarket buildings are modeled in considerable detail. Lighting, occupancy, and small electrical energy impacts are included in this modeling. However, refrigeration energy...

Hill, F.; Edwards, R.; Levermore, G.

2012-01-01T23:59:59.000Z

453

How Can China Lighten Up? Urbanization, Industrialization and Energy Demand Scenarios  

E-Print Network [OSTI]

Figure 9: Per Capita Carbon Emissions for Residential Energy9: Per Capita Carbon Emissions for Residential Energy Useenergy content for each fuel, the estimated per capita carbon emissions

Aden, Nathaniel T.

2010-01-01T23:59:59.000Z

454

How Can China Lighten Up? Urbanization, Industrialization and Energy Demand Scenarios  

E-Print Network [OSTI]

of declining energy use per unit GDP. Within this reform-and the energy use in agriculture per unit of GDP (economic

Aden, Nathaniel T.

2010-01-01T23:59:59.000Z

455

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

E-Print Network [OSTI]

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

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

456

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next MECS7 End

457

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next MECS7 End

458

Managing the Night Off-Peak Power Demand in the Central Region UPS with Newly Commissioned NPP Capacities  

SciTech Connect (OSTI)

The use of hydrogen technologies as a controlled-load consumer based on the newly commissioned base-load nuclear power plants to level out the daily load profile is justified for the Unified Power System (UPS) of the Central Region of Russia, as an example, for the period till 2020.

Aminov, R. Z. [Saratov Research Center of the Russian Academy of Sciences (Russian Federation); Pron’, D. M. [Yu. A. Gagarin Saratov State Technical University (Russian Federation)

2014-01-15T23:59:59.000Z

459

Italy Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429 Throttled (botOpen Energy2005) | OpenIssaquena County, Mississippi:

460

Demand-based Optimal Control to Save Energy: A Case-Study in a Medical Center  

E-Print Network [OSTI]

the conditioned air through two parallel air ducts. Terminal boxes modulate either the hot ESL-HH-08-12-16 Proceedings of the Sixteenth Symposium on Improving Building Systems in Hot and Humid Climates, Plano, TX, December 15-17, 2008 airflow or the cold... and pressure required for the ESL-HH-08-12-16 Proceedings of the Sixteenth Symposium on Improving Building Systems in Hot and Humid Climates, Plano, TX, December 15-17, 2008 unit. Therefore, there are many ways to read the demand of equipment and buildings...

Joo, I. S.; Song, L.; Liu, M.; Carico, M.

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


461

Regional growth and energy supply: Is there an energy security issue?  

SciTech Connect (OSTI)

This study examines how the growth of the developing world might affect energy markets in the future. Based on recent growth trends, world energy demand could reasonably be expected to grow from about 350 Exajoules (EJ: 1.0E18=0.95 Quad) to nearly 1025 EJ by the year 2020, nearly 3x current consumption estimates. Introduction of more energy-efficient technologies could reduce this growth by about 17% to 830 EJ. But one cannot rely exclusively on current trends to forecast future energy demand. The growth of the developing world will interact with supply to affect prices, which in turn will mitigate the growth of demand, and growth rates of energy use will be much more modes. Under the Business as Usual scenario, energy demand will grow to 835 EJ by 2020, and this could be reduced a further 15% to 714 EJ through the adoption of more energy efficient technologies. Fuel prices based on model results are analyzed. Energy security implications of rapid growth in the developing world are considered and found to be of likely little significance.

Roop, J.M.; Freund, K.A.; Godoy-Kain, P.; Gu, A.Y.; Johnson, A.K.; Paananen, O.H.; Woodruff, M.G.

1996-12-01T23:59:59.000Z

462

Energy and Security in Northeast Asia: Supply and Demand, Conflict and  

E-Print Network [OSTI]

natural gas could build confidence, dampen frontier tensions, and improve relations in this region so critical to world peace and pros-

Fesharaki, Fereidun; Banaszak, Sarah; WU, Kang; Valencia, Mark J.; Dorian, James P.

1998-01-01T23:59:59.000Z

463

Comparison of Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building  

E-Print Network [OSTI]

water supplied by thermal energy storage in the centralchilled water thermal energy storage (TES) tank provides

Dudley, Junqiao Han

2010-01-01T23:59:59.000Z

464

Comparison of Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building  

E-Print Network [OSTI]

We have studied a low energy building on a campus of theEnergyPlus Model in a Low Energy Campus Building Junqiao HanEnergyPlus Model in a Low Energy Campus Building Junqiao Han

Dudley, Junqiao Han

2010-01-01T23:59:59.000Z

465

Trends in Heating and Cooling Degree Days: Implications for Energy Demand Issues (released in AEO2008)  

Reports and Publications (EIA)

Weather-related energy use, in the form of heating, cooling, and ventilation, accounted for more than 40% of all delivered energy use in residential and commercial buildings in 2006. Given the relatively large amount of energy affected by ambient temperature in the buildings sector, the Energy Information Administration has reevaluated what it considers normal weather for purposes of projecting future energy use for heating, cooling, and ventilation. The Annual Energy Outlook 2008, estimates of normal heating and cooling degree-days are based on the population-weighted average for the 10-year period from 1997 through 2006.

2008-01-01T23:59:59.000Z

466

Thermal Energy Storage for Electricity Peak-demand Mitigation: A Solution in Developing and Developed World Alike  

SciTech Connect (OSTI)

In much of the developed world, air-conditioning in buildings is the dominant driver of summer peak electricity demand. In the developing world a steadily increasing utilization of air-conditioning places additional strain on already-congested grids. This common thread represents a large and growing threat to the reliable delivery of electricity around the world, requiring capital-intensive expansion of capacity and draining available investment resources. Thermal energy storage (TES), in the form of ice or chilled water, may be one of the few technologies currently capable of mitigating this problem cost effectively and at scale. The installation of TES capacity allows a building to meet its on-peak air conditioning load without interruption using electricity purchased off-peak and operating with improved thermodynamic efficiency. In this way, TES has the potential to fundamentally alter consumption dynamics and reduce impacts of air conditioning. This investigation presents a simulation study of a large office building in four distinct geographical contexts: Miami, Lisbon, Shanghai, and Mumbai. The optimization tool DER-CAM (Distributed Energy Resources Customer Adoption Model) is applied to optimally size TES systems for each location. Summer load profiles are investigated to assess the effectiveness and consistency in reducing peak electricity demand. Additionally, annual energy requirements are used to determine system cost feasibility, payback periods and customer savings under local utility tariffs.

DeForest, Nicholas; Mendes, Goncalo; Stadler, Michael; Feng, Wei; Lai, Judy; Marnay, Chris

2013-06-02T23:59:59.000Z

467

Australia Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160 EastMaine: EnergyAustin Energy Place: Texas Service Territory:and Ore Reserves (The

468

Austria Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160 EastMaine: EnergyAustin Energy Place: Texas Service Territory:and Ore

469

Phase-Change Frame Walls (PCFWs) for On-Peak Demand Reduction and Energy Conservation in Residential Buildings: Development, Construction and Evaluation  

E-Print Network [OSTI]

The main purpose of this work was to develop a thermally enhanced frame wall that would reduce peak load air conditioning demand, shift a portion of the thermal load, and conserve energy in residential buildings. A frame wall containing...

Zhang, M.; Medina, M. A.; King, J. B.

2004-01-01T23:59:59.000Z

470

ASHRAE's Proposed Guideline 14P for Measurement of Energy and Demand Savings: How to Determine What Was Really Saved by the Retrofit  

E-Print Network [OSTI]

ASHRAE has recently completed the development of Guideline 14 to fill a need for a standard set of energy (and demand) savings calculation procedures. Guideline 14 is intended to be a guideline that provides a minimum acceptable level of performance...

Haberl, J. S.; Reeves, G.; Gillespie, K.; Claridge, D. E.; Cowan, J.; Culp, C.; Frazell, W.; Heinemeier, K.; Kromer, S.; Kummer, J.; Mazzucchi, R.; Reddy, A.; Schiller, S.; Sud, I.; Wolpert, J.; Wutka, T.

2001-01-01T23:59:59.000Z

471

Impacts of High Resolution Extreme Events on U.S. Energy Demand and CO{sub 2} Emissions in the 21st Century  

SciTech Connect (OSTI)

Progress is reported in these areas: Validation of temperature and precipitation extremes; Time of emergence of severe heat stress in the United States; Quantifying the effects of temperature extremes on energy demand and carbon dioxide emissions.

Diffenbaugh, Noah [Stanford University

2013-06-21T23:59:59.000Z

472

ELECTRICITY DEMAND FORECAST COMPARISON REPORT  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION ELECTRICITY DEMAND FORECAST COMPARISON REPORT STAFFREPORT June 2005 Gorin Principal Authors Lynn Marshall Project Manager Kae C. Lewis Acting Manager Demand Analysis Office Valerie T. Hall Deputy Director Energy Efficiency and Demand Analysis Division Scott W. Matthews Acting

473

State & Regional Resources | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: AlternativeEnvironment,Institutes and1 Special Report: OAS-RA-14-01Awards |State & Regional

474

COMBINING DIVERSE DATA SOURCES FOR CEDSS, AN AGENT-BASED MODEL OF DOMESTIC ENERGY DEMAND  

E-Print Network [OSTI]

market and social network structures, and cultural factors, are likely to affect the dynamics of direct domestic energy

Gotts, Nicholas Mark; Polhill, Gary; Craig, Tony; Galan-Diaz, Carlos

2014-01-01T23:59:59.000Z

475

Elements of Energy Upgrade California Program One-stop clearinghouse for alternative financing; pooled demand, competitive  

E-Print Network [OSTI]

California Energy Audit and install all of the following measures that have not already been done (meet, AND 2. Install other measures found by the HERS II energy audit to be more cost effective than PVs up to 10% savings Provide rebates/financing for HERS II Energy Audit · Multi-family ­ Collaborate

476

Regional assessment of aquifers for thermal-energy storage. Volume 2. Regions 7 through 12  

SciTech Connect (OSTI)

This volume contains information on the geologic and hydrologic framework, major aquifers, aquifers which are suitable and unsuitable for annual thermal energy storage (ATES) and the ATES potential of the following regions of the US: Unglaciated Central Region; Glaciated Appalachians, Unglaciated Appalachians; Coastal Plain; Hawaii; and Alaska. (LCL)

Not Available

1981-06-01T23:59:59.000Z

477

Regional assessment of aquifers for thermal energy storage. Volume 1. Regions 1 through 6  

SciTech Connect (OSTI)

This volume contains information on the geologic and hydrologic framework, major aquifers, aquifers which are suitable and unsuitable for annual thermal energy storage (ATES) and the ATES potential of the following regions of the US: the Western Mountains; Alluvial Basins; Columbia LAVA Plateau; Colorado Plateau; High Plains; and Glaciated Central Region. (LCL)

Not Available

1981-06-01T23:59:59.000Z

478

The Integration of Energy Efficiency, Renewable Energy, Demand Response and Climate Change: Challenges and Opportunities for Evaluators and Planners  

E-Print Network [OSTI]

and Renewable Energy Technology and Policy. Washington,Owns Renewable Energy Certificates? An Exploration of Policypolicies and supporting DR programs. Interest in renewable energy (

Vine, Edward

2007-01-01T23:59:59.000Z

479

New Zealand Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoading map...(Utility Company) Jump to:City) Jump to: navigation, search EquivalentProjects (0)

480

Northern Rockies Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoading map...(Utility Company)References ↑ US CensusNortheastName}}} Province is situated in

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


481

Cascades Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectricEnergyCTBarreis aCallahanWind Farm Jump to: navigation,Carsten

482

Alaska Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectricEnergy InformationTuri BiomassWheelerLand and Water Jump

483

Germany Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation, searchGeaugaInformation MexicoLLC Jump to: navigation,Germany

484

Regional Dynamics Model (REDYN) | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to: navigation, searchVirginia Blue Ridge And Piedmont Provinces | Open EnergyDynamics Model

485

Cascades Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160Benin: EnergyBostonFacilityCascade Sierra Solutions CSS Jump to:

486

Category:Geothermal Regions | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160Benin: EnergyBostonFacilityCascadeJump to: navigation,

487

Iceland Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation,Ohio:GreerHiCalifornia:ISI Solar Jump to: navigation,

488

Idaho Batholith Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation,Ohio:GreerHiCalifornia:ISI Solar Jump to:Information

489

TRAVEL DEMAND AND RELIABLE FORECASTS  

E-Print Network [OSTI]

TRAVEL DEMAND AND RELIABLE FORECASTS FOR TRANSIT MARK FILIPI, AICP PTP 23rd Annual Transportation transportation projects § Develop and maintain Regional Travel Demand Model § Develop forecast socio in cooperative review during all phases of travel demand forecasting 4 #12;Cooperative Review Should Include

Minnesota, University of

490

Mid-Columbia Region Clean Energy Feasibility Assessment - Hanford...  

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

Official Documents > Mid-Columbia Region Clean Energy Assessment Official Documents DOE - RL ContractsProcurements DOE-ORP ContractsProcurements AR-PIR CERCLA Five-Year Review...

491

Demand Response: Load Management Programs  

E-Print Network [OSTI]

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

Simon, J.

2012-01-01T23:59:59.000Z

492

Pennsylvania Regional Infrastructure Project | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F SSalesOE0000652Grow Your EnergyTechnology toPaulStorage

493

Mid-Columbia Region Clean Energy Opportunities  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment SurfacesResource Program PreliminaryA3, 1999 http://www.eia.doe.govMicrowave93 -VA

494

Clean Energy Manufacturing Initiative Midwest Regional Summit:  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energyon ArmedWaste andAccessCO2 Injection Begins8:Energy Chu IssuesCleanLightweighting

495

Mexico Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 -Energieprojekte GmbH Jump to: navigation,Metalysis JumpMetzger, Oregon:Buildings0)

496

China Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160Benin:Energy Information onChemithon842667°,Cheviot,3.Chimayo,China Geothermal

497

Southern Rockies Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:Seadov Pty Ltd JumpGTZHolland, Illinois:5717551° LoadingSoutheastSRF JumpRElecEnergy

498

Turkey Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:Seadov Pty LtdSteen,LtdInformationTulsa, Oklahoma: EnergyTunisia:TuoriTurkerlerJump

499

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network [OSTI]

of Carbon Tax on Combined Heat and Power Adoption by ain energy-efficient combined heat and power equipment, whilegeneration with combined heat and power (CHP) applications

Stadler, Michael

2009-01-01T23:59:59.000Z

500

Demand Response and Smart Metering Policy Actions Since the Energy Policy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA - U.S. DepartmenttoJuneEnergy This documentAct of 2005: A