National Library of Energy BETA

Sample records for total electricity demand

  1. Table A19. Components of Total Electricity Demand by Census...

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

    Components of Total Electricity Demand by Census Region and" " Economic Characteristics of ...ansfers","Onsite","Transfers"," ","Row" "Economic Characteristics(a)","Purchases","In(b)",...

  2. Table A26. Components of Total Electricity Demand by Census Region, Census Di

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

    Components of Total Electricity Demand by Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Million Kilowatthours)" " "," "," "," ","Sales/"," ","RSE" " "," ","Transfers","Onsite","Transfers"," ","Row" "Economic

  3. Projecting Electricity Demand in 2050

    SciTech Connect (OSTI)

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

    2014-07-01

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

  4. Irrigation and the demand for electricity. Progress report

    SciTech Connect (OSTI)

    Maddigan, R. J.; Chern, W. S.; Gallagher, C. A.

    1980-03-01

    In order to anticipate the need for generating capacity, utility planners must estimate the future growth in electricity demand. The need for demand forecasts is no less important for the nation's Rural Electric Cooperatives (RECs) than it is for the investor-owned utilities. The RECs serve an historically agrarian region; therefore, the irrigation sector accounts for a significant portion of the western RECs' total demand. A model is developed of the RECs' demand for electricity used in irrigation. The model is a simultaneous equation system which focuses on both the short-run utilization of electricity in irrigation and the long-run determination of the number of irrigators using electricity. Irrigation demand is described by a set of equations in which the quantity of electricity demanded, the average electricity price, the number of irrigation customers, and the ratio of electricity to total energy used for irrigation are endogenous. The structural equations are estimated using pooled state-level data for the period 1961-1977. In light of the model's results, the impact of changes in relative energy prices on irrigation can be examined.

  5. Utility Sector Impacts of Reduced Electricity Demand

    SciTech Connect (OSTI)

    Coughlin, Katie

    2014-12-01

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

  6. Tool Improves Electricity Demand Predictions to Make More Room...

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

    Tool Improves Electricity Demand Predictions to Make More Room for Renewables Tool Improves Electricity Demand Predictions to Make More Room for Renewables October 3, 2011 - ...

  7. High-Performance with Solar Electric Reduced Peak Demand: Premier...

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

    with Solar Electric Reduced Peak Demand: Premier Homes Rancho Cordoba, CA - Building America Top Innovation High-Performance with Solar Electric Reduced Peak Demand: Premier Homes ...

  8. Electricity demand in a developing country. [Paraguay

    SciTech Connect (OSTI)

    Westley, G.D.

    1984-08-01

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

  9. Economic Rebalancing and Electricity Demand in China

    SciTech Connect (OSTI)

    He, Gang; Lin, Jiang; Yuan, Alexandria

    2015-11-01

    Understanding the relationship between economic growth and electricity use is essential for power systems planning. This need is particularly acute now in China, as the Chinese economy is going through a transition to a more consumption and service oriented economy. This study uses 20 years of provincial data on gross domestic product (GDP) and electricity consumption to examine the relationship between these two factors. We observe a plateauing effect of electricity consumption in the richest provinces, as the electricity demand saturates and the economy develops and moves to a more service-based economy. There is a wide range of forecasts for electricity use in 2030, ranging from 5,308 to 8,292 kWh per capita, using different estimating functions, as well as in existing studies. It is therefore critical to examine more carefully the relationship between electricity use and economic development, as China transitions to a new growth phase that is likely to be less energy and resource intensive. The results of this study suggest that policymakers and power system planners in China should seriously re-evaluate power demand projections and the need for new generation capacity to avoid over-investment that could lead to stranded generation assets.

  10. What is a High Electric Demand Day?

    Broader source: Energy.gov [DOE]

    This presentation by T. McNevin of the New Jersey Bureau of Air Quality Planning 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.

  11. Heat wave contributes to higher summer electricity demand in...

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

    Heat wave contributes to higher summer electricity demand in the Northeast In its new energy forecast, the U.S. Energy Information Administration expects summer retail electricity ...

  12. Table 11.2 Electricity: Components of Net Demand, 2010;

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

    Electricity: Components of Net Demand, 2010; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Electricity Components; Unit: Million ...

  13. Benefits of Demand Response in Electricity Markets and Recommendations...

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

    Demand Response in Electricity Markets and Recommendations for Achieving Them. A report to the United States Congress Pursuant to Section 1252 of the Energy Policy Act of 2005 ...

  14. Electricity demand as frequency controlled reserves, ForskEL...

    Open Energy Info (EERE)

    ForskEL (Smart Grid Project) Jump to: navigation, search Project Name Electricity demand as frequency controlled reserves, ForskEL Country Denmark Coordinates 56.26392,...

  15. Electricity demand as frequency controlled reserves, ENS (Smart...

    Open Energy Info (EERE)

    ENS (Smart Grid Project) Jump to: navigation, search Project Name Electricity demand as frequency controlled reserves, ENS Country Denmark Coordinates 56.26392, 9.501785...

  16. U.S. Electric Utility Demand-Side Management

    Reports and Publications (EIA)

    2002-01-01

    Final issue of this report. - Presents comprehensive information on electric power industry demand side management (DSM) activities in the United States at the national, regional, and utility levels.

  17. Table 6a. Total Electricity Consumption per Effective Occupied...

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

    a. Total Electricity Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using Electricity (thousand) Total Electricity Consumption...

  18. 2014 Total Electric Industry- Customers

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

    Customers (Data from forms EIA-861- schedules 4A, 4B, 4D, EIA-861S and EIA-861U) State Residential Commercial Industrial Transportation Total New England 6,243,013 862,269 28,017 8 ...

  19. "2014 Total Electric Industry- Customers"

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

    Customers" "(Data from forms EIA-861- schedules 4A, 4B, 4D, EIA-861S and EIA-861U)" "State","Residential","Commercial","Industrial","Transportation","Total" "New England",6243013,8...

  20. Investigation of structural changes in residential electricity demand

    SciTech Connect (OSTI)

    Chern, W.S.; Bouis, H.E.

    1982-09-23

    The purpose of this study was to investigate the stability of aggregate national residential electricity demand coefficients over time. The hypothesis is maintained that the aggregate residential demand is the sum of various end-use demand components. Since the end-use composition changes over time, the demand relationship may change as well. Since the end-use composition differs among regions, the results obtained from this study can be used for making inferences about regional differences in electricity demand relationships. There are two additional sources for a possible structural change. One is that consumers may react differently to declining and rising prices, secondly, the impact of the 1973 oil embargo may have shifted demand preferences. The electricity demand model used for this study is presented. A moving regression method was employed to investigate changes in residential electricity demand over time. The statistical results show a strikingly consistent pattern of change for most of the structural variables. The most important finding of this study is that the estimated structure of residential electricity demand changes systematically over time as a result of changes in the characteristics (both durability and saturation level) of the stock of appliances. Furthermore, there is not strong evidence that the structural changes in demand occurred due to either the reversal of the declining trend of electricity prices or the impact of the 1973 oil embarge. (LCL)

  1. Implications of Low Electricity Demand Growth

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

    etc. - From 2012-2040, electric generating capacity additions decline by about 50% ... Other Renewables Solar Wind Natural gasoil Nuclear Hydro Other Coal 0 5 10 15 20 25 30 ...

  2. U.S. electric utility demand-side management 1993

    SciTech Connect (OSTI)

    1995-07-01

    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.

  3. Demand Response in U.S. Electricity Markets: Empirical Evidence |

    Energy Savers [EERE]

    Department of Energy in U.S. Electricity Markets: Empirical Evidence Demand Response in U.S. Electricity Markets: Empirical Evidence The work described in this paper was funded by the Office of Electricity Delivery and Energy Reliability, Permitting, Siting and Analysis of the U.S. Department of Energy under contract No. DE-AC02-05CH11231. The authors are solely responsible for any omissions or errors contained herein. PDF icon Demand Response in U.S. Electricity Markets: Empirical Evidence

  4. Benefits of Demand Response in Electricity Markets and Recommendations for

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

    Achieving Them. A report to the United States Congress Pursuant to Section 1252 of the Energy Policy Act of 2005 (February 2006) | Department of Energy Demand Response in Electricity Markets and Recommendations for Achieving Them. A report to the United States Congress Pursuant to Section 1252 of the Energy Policy Act of 2005 (February 2006) Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them. A report to the United States Congress Pursuant to Section

  5. Table E13.1. Electricity: Components of Net Demand, 1998

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

    1. Electricity: Components of Net Demand, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Electricity Components;" " Unit: Million Kilowatthours." " ",," "," ",," " ,,,,"Sales and","Net Demand","RSE" "Economic",,,"Total Onsite","Transfers","for","Row"

  6. Turkey opens electricity markets as demand grows

    SciTech Connect (OSTI)

    McKeigue, J.; Da Cunha, A.; Severino, D. [Global Business Reports (United States)

    2009-06-15

    Turkey's growing power market has attracted investors and project developers for over a decade, yet their plans have been dashed by unexpected political or financial crises or, worse, obstructed by a lengthy bureaucratic approval process. Now, with a more transparent retail electricity market, government regulators and investors are bullish on Turkey. Is Turkey ready to turn the power on? This report closely examine Turkey's plans to create a power infrastructure capable of providing the reliable electricity supplies necessary for sustained economic growth. It was compiled with on-the-ground research and extensive interview with key industrial and political figures. Today, hard coal and lignite account for 21% of Turkey's electricity generation and gas-fired plants account for 50%. The Alfin Elbistan-B lignite-fired plant has attracted criticism for its lack of desulfurization units and ash dam facilities that have tarnished the industry's image. A 1,100 MW hard-coal fired plant using supercritical technology is under construction. 9 figs., 1 tab.

  7. U.S. electric utility demand-side management 1996

    SciTech Connect (OSTI)

    1997-12-01

    The US Electric Utility Demand-Side Management report presents comprehensive information on electric power industry demand-side management (DSM) activities in the US at the national, regional, and utility levels. The objective of the publication is to provide industry decision makers, government policy makers, analysts, and the general public with historical data that may be used in understanding DSM as it related to the US electric power industry. The first chapter, ``Profile: U.S. Electric Utility Demand-Side Management,`` presents a general discussion of DSM, its history, current issues, and a review of key statistics for the year. Subsequent chapters present discussions and more detailed data on energy savings, peak load reductions and costs attributable to DSM. 9 figs., 24 tabs.

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

    DOE Patents [OSTI]

    Chassin, David P.; Donnelly, Matthew K.; Dagle, Jeffery E.

    2006-12-12

    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.

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

    DOE Patents [OSTI]

    Chassin, David P.; Donnelly, Matthew K.; Dagle, Jeffery E.

    2011-12-06

    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.

  10. Impacts of Demand-Side Resources on Electric Transmission Planning

    SciTech Connect (OSTI)

    Hadley, Stanton W.; Sanstad, Alan H.

    2015-01-01

    Will demand resources such as energy efficiency (EE), demand response (DR), and distributed generation (DG) have an impact on electricity transmission requirements? Five drivers for transmission expansion are discussed: interconnection, reliability, economics, replacement, and policy. With that background, we review the results of a set of transmission studies that were conducted between 2010 and 2013 by electricity regulators, industry representatives, and other stakeholders in the three physical interconnections within the United States. These broad-based studies were funded by the US Department of Energy and included scenarios of reduced load growth due to EE, DR, and DG. While the studies were independent and used different modeling tools and interconnect-specific assumptions, all provided valuable results and insights. However, some caveats exist. Demand resources were evaluated in conjunction with other factors, and limitations on transmission additions between scenarios made understanding the role of demand resources difficult. One study, the western study, included analyses over both 10- and 20-year planning horizons; the 10-year analysis did not show near-term reductions in transmission, but the 20-year indicated fewer transmission additions, yielding a 36percent capital cost reduction. In the eastern study the reductions in demand largely led to reductions in local generation capacity and an increased opportunity for low-cost and renewable generation to export to other regions. The Texas study evaluated generation changes due to demand, and is in the process of examining demand resource impacts on transmission.

  11. Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;

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

    7 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(c) LPG and Coke and Breeze) for Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21

  12. Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;

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

    Next MECS will be conducted in 2010 Table 5.8 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Demand Residual and LPG and (excluding Coal End Use for Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Total United States TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547

  13. Greater fuel diversity needed to meet growing US electricity demand

    SciTech Connect (OSTI)

    Burt, B.; Mullins, S.

    2008-01-15

    Electricity demand is growing in the USA. One way to manage the uncertainty is to diversity fuel sources. Fuel sources include coal, natural gas, nuclear and renewable energy sources. Tables show actual and planned generation projects by fuel types. 1 fig., 2 tabs.

  14. Table 6b. Relative Standard Errors for Total Electricity Consumption...

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

    b. Relative Standard Errors for Total Electricity Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using Electricity (thousand) Total...

  15. East Coast blizzard cuts into gasoline demand, but home electricity demand rises

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

    East Coast blizzard cuts into gasoline demand, but home electricity demand rises U.S. monthly gasoline consumption declined in January, as the big winter storm that shut down many East Coast cities kept people in their homes and off the road. In its new monthly forecast, the U.S. Energy Information Administration said monthly gasoline consumption dropped 230,000 barrels per day in January compared to year-ago levels and that marked the first year-over-year decline in monthly gasoline use since

  16. Climate, extreme heat, and electricity demand in California

    SciTech Connect (OSTI)

    Miller, N.L.; Hayhoe, K.; Jin, J.; Auffhammer, M.

    2008-04-01

    Climate projections from three atmosphere-ocean climate models with a range of low to mid-high temperature sensitivity forced by the Intergovernmental Panel for Climate Change SRES higher, middle, and lower emission scenarios indicate that, over the 21st century, extreme heat events for major cities in heavily air-conditioned California will increase rapidly. These increases in temperature extremes are projected to exceed the rate of increase in mean temperature, along with increased variance. Extreme heat is defined here as the 90 percent exceedance probability (T90) of the local warmest summer days under the current climate. The number of extreme heat days in Los Angeles, where T90 is currently 95 F (32 C), may increase from 12 days to as many as 96 days per year by 2100, implying current-day heat wave conditions may last for the entire summer, with earlier onset. Overall, projected increases in extreme heat under the higher A1fi emission scenario by 2070-2099 tend to be 20-30 percent higher than those projected under the lower B1 emission scenario, ranging from approximately double the historical number of days for inland California cities (e.g. Sacramento and Fresno), up to four times for previously temperate coastal cities (e.g. Los Angeles, San Diego). These findings, combined with observed relationships between high temperature and electricity demand for air-conditioned regions, suggest potential shortfalls in transmission and supply during T90 peak electricity demand periods. When the projected extreme heat and peak demand for electricity are mapped onto current availability, maintaining technology and population constant only for demand side calculations, we find the potential for electricity deficits as high as 17 percent. Similar increases in extreme heat days are suggested for other locations across the U.S. southwest, as well as for developing nations with rapidly increasing electricity demands. Electricity response to recent extreme heat events, such as the July 2006 heat wave in California, suggests that peak electricity demand will challenge current supply, as well as future planned supply capacities when population and income growth are taken into account.

  17. Renewable Electricity Futures Study Volume 3: End-Use Electricity Demand

    Broader source: Energy.gov [DOE]

    This volume details the end-use electricity demand and efficiency assumptions. The projection of electricity demand is an important consideration in determining the extent to which a predominantly renewable electricity future is feasible. Any scenario regarding future electricity use must consider many factors, including technological, sociological, demographic, political, and economic changes (e.g., the introduction of new energy-using devices; gains in energy efficiency and process improvements; changes in energy prices, income, and user behavior; population growth; and the potential for carbon mitigation).

  18. Electric Water Heater Modeling and Control Strategies for Demand Response

    SciTech Connect (OSTI)

    Diao, Ruisheng; Lu, Shuai; Elizondo, Marcelo A.; Mayhorn, Ebony T.; Zhang, Yu; Samaan, Nader A.

    2012-07-22

    Abstractó Demand response (DR) has a great potential to provide balancing services at normal operating conditions and emergency support when a power system is subject to disturbances. Effective control strategies can significantly relieve the balancing burden of conventional generators and reduce investment on generation and transmission expansion. This paper is aimed at modeling electric water heaters (EWH) in households and tests their response to control strategies to implement DR. The open-loop response of EWH to a centralized signal is studied by adjusting temperature settings to provide regulation services; and two types of decentralized controllers are tested to provide frequency support following generator trips. EWH models are included in a simulation platform in DIgSILENT to perform electromechanical simulation, which contains 147 households in a distribution feeder. Simulation results show the dependence of EWH response on water heater usage . These results provide insight suggestions on the need of control strategies to achieve better performance for demand response implementation. Index Termsó Centralized control, decentralized control, demand response, electrical water heater, smart grid

  19. Electricity Demand Evolution Driven by Storm Motivated Population Movement

    SciTech Connect (OSTI)

    Allen, Melissa R; Fernandez, Steven J; Fu, Joshua S; Walker, Kimberly A

    2014-01-01

    Managing the risks posed by climate change to energy production and delivery is a challenge for communities worldwide. Sea Level rise and increased frequency and intensity of natural disasters due to sea surface temperature rise force populations to move locations, resulting in changing patterns of demand for infrastructure services. Thus, Infrastructures will evolve to accommodate new load centers while some parts of the network are underused, and these changes will create emerging vulnerabilities. Combining climate predictions and agent based population movement models shows promise for exploring the universe of these future population distributions and changes in coastal infrastructure configurations. In this work, we created a prototype agent based population distribution model and developed a methodology to establish utility functions that provide insight about new infrastructure vulnerabilities that might result from these patterns. Combining climate and weather data, engineering algorithms and social theory, we use the new Department of Energy (DOE) Connected Infrastructure Dynamics Models (CIDM) to examine electricity demand response to increased temperatures, population relocation in response to extreme cyclonic events, consequent net population changes and new regional patterns in electricity demand. This work suggests that the importance of established evacuation routes that move large populations repeatedly through convergence points as an indicator may be under recognized.

  20. Residential Electricity Demand in China -- Can Efficiency Reverse the Growth?

    SciTech Connect (OSTI)

    Letschert, Virginie; McNeil, Michael A.; Zhou, Nan

    2009-05-18

    The time when energy-related carbon emissions come overwhelmingly from developed countries is coming to a close. China has already overtaken the United States as the world's leading emitter of greenhouse gas emissions. The economic growth that China has experienced is not expected to slow down significantly in the long term, which implies continued massive growth in energy demand. This paper draws on the extensive expertise from the China Energy Group at LBNL on forecasting energy consumption in China, but adds to it by exploring the dynamics of demand growth for electricity in the residential sector -- and the realistic potential for coping with it through efficiency. This paper forecasts ownership growth of each product using econometric modeling, in combination with historical trends in China. The products considered (refrigerators, air conditioners, fans, washing machines, lighting, standby power, space heaters, and water heating) account for 90percent of household electricity consumption in China. Using this method, we determine the trend and dynamics of demandgrowth and its dependence on macroeconomic drivers at a level of detail not accessible by models of a more aggregate nature. In addition, we present scenarios for reducing residential consumption through 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, thus allowing for a technologically realistic assessment of efficiency opportunities specifically in the Chinese context.

  1. "Table A25. Components of Total Electricity Demand by Census...

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

    ... 29,"Petroleum and Coal Products",2058,0," W ",0," W ",19.6 2911,"Petroleum Refining",1824,0," W ",0," W ",20.3 30,"Rubber and Miscellaneous Plastics Products",3350,0,0,0,3350,15...

  2. "Table A16. Components of Total Electricity Demand by Census...

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

    Factors:","0.5 ",1.9,1.2,1.5,0.5 , 20,"Food and Kindred Products","W","W",5743,988,552... Factors:","0.7 ",1.4,1.2,1.3,0.7 , 20,"Food and Kindred Products",5443,0,352,58,5737,1...

  3. Automated Demand Response: The Missing Link in the Electricity Value Chain

    SciTech Connect (OSTI)

    McKane, Aimee; Rhyne, Ivin; Piette, Mary Ann; Thompson, Lisa; Lekov, Alex

    2008-08-01

    In 2006, the Public Interest Energy Research Program (PIER) Demand Response Research Center (DRRC) at Lawrence Berkeley National Laboratory initiated research into Automated Demand Response (OpenADR) applications in California industry. The goal is to improve electric grid reliability and lower electricity use during periods of peak demand. The purpose of this research is to begin to define the relationship among a portfolio of actions that industrial facilities can undertake relative to their electricity use. This 'electricity value chain' defines energy management and demand response (DR) at six levels of service, distinguished by the magnitude, type, and rapidity of response. One element in the electricity supply chain is OpenADR, an open-standards based communications system to send signals to customers to allow them to manage their electric demand in response to supply conditions, such as prices or reliability, through a set of standard, open communications. Initial DRRC research suggests that industrial facilities that have undertaken energy efficiency measures are probably more, not less, likely to initiate other actions within this value chain such as daily load management and demand response. Moreover, OpenADR appears to afford some facilities the opportunity to develop the supporting control structure and to 'demo' potential reductions in energy use that can later be applied to either more effective load management or a permanent reduction in use via energy efficiency. Under the right conditions, some types of industrial facilities can shift or shed loads, without any, or minimal disruption to operations, to protect their energy supply reliability and to take advantage of financial incentives. In 2007 and 2008, 35 industrial facilities agreed to implement OpenADR, representing a total capacity of nearly 40 MW. This paper describes how integrated or centralized demand management and system-level network controls are linked to OpenADR systems. Case studies of refrigerated warehouses and wastewater treatment facilities are used to illustrate OpenADR load reduction potential. Typical shed and shift strategies include: turning off or operating compressors, aerator blowers and pumps at reduced capacity, increasing temperature set-points or pre-cooling cold storage areas and over-oxygenating stored wastewater prior to a DR event. This study concludes that understanding industrial end-use processes and control capabilities is a key to support reduced service during DR events and these capabilities, if DR enabled, hold significant promise in reducing the electricity demand of the industrial sector during utility peak periods.

  4. Automated Demand Response: The Missing Link in the Electricity Value Chain

    SciTech Connect (OSTI)

    McKane, Aimee; Rhyne, Ivin; Lekov, Alex; Thompson, Lisa; Piette, MaryAnn

    2009-08-01

    In 2006, the Public Interest Energy Research Program (PIER) Demand Response Research Center (DRRC) at Lawrence Berkeley National Laboratory initiated research into Automated Demand Response (OpenADR) applications in California industry. The goal is to improve electric grid reliability and lower electricity use during periods of peak demand. The purpose of this research is to begin to define the relationship among a portfolio of actions that industrial facilities can undertake relative to their electricity use. This ?electricity value chain? defines energy management and demand response (DR) at six levels of service, distinguished by the magnitude, type, and rapidity of response. One element in the electricity supply chain is OpenADR, an open-standards based communications system to send signals to customers to allow them to manage their electric demand in response to supply conditions, such as prices or reliability, through a set of standard, open communications. Initial DRRC research suggests that industrial facilities that have undertaken energy efficiency measures are probably more, not less, likely to initiate other actions within this value chain such as daily load management and demand response. Moreover, OpenADR appears to afford some facilities the opportunity to develop the supporting control structure and to"demo" potential reductions in energy use that can later be applied to either more effective load management or a permanent reduction in use via energy efficiency. Under the right conditions, some types of industrial facilities can shift or shed loads, without any, or minimal disruption to operations, to protect their energy supply reliability and to take advantage of financial incentives.1 In 2007 and 2008, 35 industrial facilities agreed to implement OpenADR, representing a total capacity of nearly 40 MW. This paper describes how integrated or centralized demand management and system-level network controls are linked to OpenADR systems. Case studies of refrigerated warehouses and wastewater treatment facilities are used to illustrate OpenADR load reduction potential. Typical shed and shift strategies include: turning off or operating compressors, aerator blowers and pumps at reduced capacity, increasing temperature set-points or pre-cooling cold storage areas and over-oxygenating stored wastewater prior to a DR event. This study concludes that understanding industrial end-use processes and control capabilities is a key to support reduced service during DR events and these capabilities, if DR enabled, hold significant promise in reducing the electricity demand of the industrial sector during utility peak periods.

  5. Renewable Electricity Futures Study. Volume 3: End-Use Electricity Demand

    SciTech Connect (OSTI)

    Hostick, D.; Belzer, D.B.; Hadley, S.W.; Markel, T.; Marnay, C.; Kintner-Meyer, M.

    2012-06-01

    The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%-90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT).

  6. Renewable Electricity Futures Study. Volume 3. End-Use Electricity Demand

    SciTech Connect (OSTI)

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

    2012-06-15

    The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%‚Äď90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT). Learn more at the RE Futures website. http://www.nrel.gov/analysis/re_futures/

  7. 2014 Total Electric Industry- Sales (Megawatthours

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

    EIA-861U)" "State","Residential","Commercial","Industrial","Transportation","Total" "New England",47211525,53107038,19107433,557463,119983459 "Connecticut",12777579,12893531,351479...

  8. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;

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

    4 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Demand Residual and LPG and (excluding Coal Code(a) End Use for Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23

  9. "2014 Total Electric Industry- Revenue (Thousands Dollars)"

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

    EIA-861U)" "State","Residential","Commercial","Industrial","Transportation","Total" "New England",8414175.4,7806276.7,2262752.4,57837.4,18541041.8 "Connecticut",2523348.7,2004629.1...

  10. 2014 Total Electric Industry- Revenue (Thousands Dollars)

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

    Revenue (Thousands Dollars) (Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U) State Residential Commercial Industrial Transportation Total New England 8,414,175 ...

  11. Report: Impacts of Demand-Side Resources on Electric Transmission Planning

    Energy Savers [EERE]

    | Department of Energy Impacts of Demand-Side Resources on Electric Transmission Planning Report: Impacts of Demand-Side Resources on Electric Transmission Planning This report assesses the relationship between high levels of demand-side resources (including end-use efficiency, demand response, and distributed generation) and investment in new transmission or utilization of existing transmission. It summarizes the extensive modeling of transmission scenarios done through DOE-funded studies

  12. Electricity pricing as a demand-side management strategy: Western lessons for developing countries

    SciTech Connect (OSTI)

    Hill, L.J.

    1990-12-01

    Electric utilities in the Western world have increasingly realized that load commitments can be met not only by constructing new generating plants but also by influencing electricity demand. This demand-side management (DSM) process requires that electric utilities promote measures on the customer's side of the meter to directly or indirectly influence electricity consumption to meet desired load objectives. An important demand-side option to achieve these load objectives is innovative electricity pricing, both by itself and as a financial incentive for other demand-site measures. This study explores electricity pricing as a DSM strategy, addressing four questions in the process: What is the Western experience with DSM in general and electricity pricing in particular Do innovative pricing strategies alter the amount and pattern of electricity consumption Do the benefits of these pricing strategies outweigh the costs of implementation What are future directions in electricity pricing Although DSM can be used to promote increases in electricity consumption for electric utilities with excess capacity as well as to slow demand growth for capacity-short utilities, emphasis here is placed on the latter. The discussion should be especially useful for electric utilities in developing countries that are exploring alternatives to capacity expansion to meet current and future electric power demand.

  13. Demand Response is Focus of New Effort by Electricity Industry Leaders |

    Energy Savers [EERE]

    Department of Energy is Focus of New Effort by Electricity Industry Leaders Demand Response is Focus of New Effort by Electricity Industry Leaders U.S. Utilities, Grid Operators, Others Come Together in National Effort to Tackle Important New Electricity Area PDF icon Demand Response is Focus of New Effort by Electricity Industry Leaders More Documents & Publications SEAD-Fact-Sheet.pdf The International CHP/DHC Collaborative - Advancing Near-Term Low Carbon Technologies, July 2008 2011

  14. Export demand response in the Ontario electricity market

    SciTech Connect (OSTI)

    Peerbocus, Nash; Melino, Angelo

    2007-11-15

    Export responses to unanticipated price shocks can be a key contributing factor to the rapid mean reversion of electricity prices. The authors use event analysis - a technique more familiar from financial applications - to demonstrate how hourly export transactions respond to negative supply shocks in the Ontario electricity market. (author)

  15. Quantifying Changes in Building Electricity Use, with Application to Demand Response

    SciTech Connect (OSTI)

    Mathieu, Johanna L.; Price, Phillip N.; Kiliccote, Sila; Piette, Mary Ann

    2010-11-17

    We present methods for analyzing commercial and industrial facility 15-minute-interval electric load data. These methods allow building managers to better understand their facility's electricity consumption over time and to compare it to other buildings, helping them to ask the right questions to discover opportunities for demand response, energy efficiency, electricity waste elimination, and peak load management. We primarily focus on demand response. Methods discussed include graphical representations of electric load data, a regression-based electricity load model that uses a time-of-week indicator variable and a piecewise linear and continuous outdoor air temperature dependence, and the definition of various parameters that characterize facility electricity loads and demand response behavior. In the future, these methods could be translated into easy-to-use tools for building managers.

  16. Water demands for electricity generation in the U.S.: Modeling...

    Office of Scientific and Technical Information (OSTI)

    Water demands for electricity generation in the U.S.: Modeling different scenarios for the water-energy nexus This content will become publicly available on March 11, 2018 Title: ...

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

    Broader source: Energy.gov [DOE]

    This presentation, presented in July 2008, addressed greenhouse gas reduction goals on high electric demand days. Presenter was Art Diem of the State and Local Capacity Building Branch at the U.S. Environmental Protection Agency.

  18. Tool Improves Electricity Demand Predictions to Make More Room for Renewables

    Broader source: Energy.gov [DOE]

    A new tool is available to help integrate wind and solar power into the electric grid by predicting the ranges in which power demand could increase or decrease in the immediate future.

  19. Electric power supply and demand for the contiguous United States, 1980-1989

    SciTech Connect (OSTI)

    1980-06-01

    A limited review is presented of the outlook for the electric power supply and demand during the period 1980 to 1989. Only the adequacy and reliability aspects of bulk electric power supply in the contiguous US are considered. The economic, financial and environmental aspects of electric power system planning and the distribution of electricity (below the transmission level) are topics of prime importance, but they are outside the scope of this report.

  20. Table A39. Total Expenditures for Purchased Electricity and Steam

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

    9. Total Expenditures for Purchased Electricity and Steam" " by Type of Supplier, Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Million Dollars)" ," Electricity",," Steam" ,,,,,"RSE" ,"Utility","Nonutility","Utility","Nonutility","Row" "Economic

  1. High-Performance with Solar Electric Reduced Peak Demand: Premier Homes

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

    Rancho Cordoba, CA - Building America Top Innovation | Department of Energy with Solar Electric Reduced Peak Demand: Premier Homes Rancho Cordoba, CA - Building America Top Innovation High-Performance with Solar Electric Reduced Peak Demand: Premier Homes Rancho Cordoba, CA - Building America Top Innovation Photo of homes in Premier Gardens. As the housing market continues to evolve toward zero net-energy ready homes, Building America research has provided essential guidance for integrating

  2. Water demands for electricity generation in the U.S.: Modeling different

    Office of Scientific and Technical Information (OSTI)

    scenarios for the water-energy nexus (Journal Article) | SciTech Connect Water demands for electricity generation in the U.S.: Modeling different scenarios for the water-energy nexus Citation Details In-Document Search This content will become publicly available on March 11, 2018 Title: Water demands for electricity generation in the U.S.: Modeling different scenarios for the water-energy nexus Authors: Liu, Lu ; Hejazi, Mohamad ; Patel, Pralit ; Kyle, Page ; Davies, Evan ; Zhou, Yuyu ;

  3. Water demands for electricity generation in the U.S.: Modeling different

    Office of Scientific and Technical Information (OSTI)

    scenarios for the water-energy nexus (Journal Article) | DOE PAGES Water demands for electricity generation in the U.S.: Modeling different scenarios for the water-energy nexus This content will become publicly available on March 11, 2018 Title: Water demands for electricity generation in the U.S.: Modeling different scenarios for the water-energy nexus Authors: Liu, Lu ; Hejazi, Mohamad ; Patel, Pralit ; Kyle, Page ; Davies, Evan ; Zhou, Yuyu ; Clarke, Leon ; Edmonds, James Publication

  4. Air-conditioning electricity savings and demand reductions from exterior masonry wall insulation applied to Arizona residences

    SciTech Connect (OSTI)

    Ternes, M.P.; Wilkes, K.E.

    1993-06-01

    A field test involving eight single-family houses was performed during the summer of 1991 in Scottsdale, Arizona to evaluate the potential of reducing air-conditioning electricity consumption and demand by insulating their exterior masonry walls. Total per house costs to perform the installations ranged from $3610 to $4550. The average annual savings was estimated to be 491 kWh, or 9% of pre-retrofit consumption. Peak demands without and with insulation on the hottest day of an average weather year for Phoenix were estimated to be 4.26 and 3.61 kill, for a demand reduction of 0.65 kill (15%). We conclude that exterior masonry wall insulation reduces air-conditioning electricity consumption and peak demand in hot, dry climates similar to that of Phoenix. Peak demand reductions are a primary benefit, making the retrofit worthy of consideration in electric utility conservation programs. Economics can be attractive from a consumer viewpoint if considered within a renovation or home improvement program.

  5. Air-conditioning electricity savings and demand reductions from exterior masonry wall insulation applied to Arizona residences

    SciTech Connect (OSTI)

    Ternes, M.P.; Wilkes, K.E.

    1993-01-01

    A field test involving eight single-family houses was performed during the summer of 1991 in Scottsdale, Arizona to evaluate the potential of reducing air-conditioning electricity consumption and demand by insulating their exterior masonry walls. Total per house costs to perform the installations ranged from $3610 to $4550. The average annual savings was estimated to be 491 kWh, or 9% of pre-retrofit consumption. Peak demands without and with insulation on the hottest day of an average weather year for Phoenix were estimated to be 4.26 and 3.61 kill, for a demand reduction of 0.65 kill (15%). We conclude that exterior masonry wall insulation reduces air-conditioning electricity consumption and peak demand in hot, dry climates similar to that of Phoenix. Peak demand reductions are a primary benefit, making the retrofit worthy of consideration in electric utility conservation programs. Economics can be attractive from a consumer viewpoint if considered within a renovation or home improvement program.

  6. Electric shovels meet the demands for mining operations

    SciTech Connect (OSTI)

    Fiscor, S.

    2008-03-15

    Rugged, intelligent shovels offer better productivity and help mine operators avoid costly downtime in a very tight market. In 2007 P & H Mining Equipment began to produce a new breed of electric mining shovels designed to help reduce operating cost in coal and other mining operations. These were designated the P & H C-Series. All have an advanced communication, command and control system called the Centurion system. Coal mining applications for this series include 4100XPCs in Australia, China and Wyoming, USA. The Centurion system provides information on shovel performance and systems health which is communicated via graphic user interface terminals to the operators cab. Bucyrus International is developing a hydraulic crowd mechanism for its electric shovels and is now field testing one for its 495 series shovel. The company has also added greater capability in the primary software in the drive system for troubleshooting and fault identification to quickly diagnose problems onboard or remotely. 4 photos.

  7. Price Responsive Demand in New York Wholesale Electricity Market using OpenADR

    SciTech Connect (OSTI)

    Kim, Joyce Jihyun; Kiliccote, Sila

    2012-06-01

    In New York State, the default electricity pricing for large customers is Mandatory Hourly Pricing (MHP), which is charged based on zonal day-ahead market price for energy. With MHP, retail customers can adjust their building load to an economically optimal level according to hourly electricity prices. Yet, many customers seek alternative pricing options such as fixed rates through retail access for their electricity supply. Open Automated Demand Response (OpenADR) is an XML (eXtensible Markup Language) based information exchange model that communicates price and reliability information. It allows customers to evaluate hourly prices and provide demand response in an automated fashion to minimize electricity costs. This document shows how OpenADR can support MHP and facilitate price responsive demand for large commercial customers in New York City.

  8. Water demands for electricity generation in the U.S.: Modeling different scenarios for the water‚Äďenergy nexus

    SciTech Connect (OSTI)

    Liu, Lu; Hejazi, Mohamad I.; Patel, Pralit L.; Kyle, G. Page; Davies, Evan; Zhou, Yuyu; Clarke, Leon E.; Edmonds, James A.

    2015-05-01

    Water withdrawal for electricity generation in the United States accounts for approximately half the total freshwater withdrawal. With steadily growing electricity demands, a changing climate, and limited water supplies in many water-scarce states, meeting future energy and water demands poses a significant socio-economic challenge. Employing an integrated modeling approach that can capture the energy-water interactions at regional and national scales is essential to improve our understanding of the key drivers that govern those interactions and the role of national policies. In this study, the Global Change Assessment Model (GCAM), a technologically-detailed integrated model of the economy, energy, agriculture and land use, water, and climate systems, was extended to model the electricity and water systems at the state level in the U.S. (GCAM-USA). GCAM-USA was employed to estimate future state-level electricity generation and consumption, and their associated water withdrawals and consumption under a set of six scenarios with extensive details on the generation fuel portfolio, cooling technology mix, and their associated water use intensities. Six scenarios of future water demands of the U.S. electric-sector were explored to investigate the implications of socioeconomics development and growing electricity demands, climate mitigation policy, the transition of cooling systems, electricity trade, and water saving technologies. Our findings include: 1) decreasing water withdrawals and substantially increasing water consumption from both climate mitigation and the conversion from open-loop to closed-loop cooling systems; 2) open trading of electricity benefiting energy scarce yet demand intensive states; 3) within state variability under different driving forces while across state homogeneity under certain driving force ; 4) a clear trade-off between water consumption and withdrawal for the electricity sector in the U.S. The paper discusses this withdrawal-consumption trade-off in the context of current national policies and regulations that favor decreasing withdrawals (increasing consumptive use), and the role of water saving technologies. The highly-resolved nature of this study both geographically and technologically provides a useful platform to address scientific and policy relevant and emerging issues at the heart of the water-energy nexus in the U.S.

  9. Preliminary Examination of the Supply and Demand Balance for Renewable Electricity

    SciTech Connect (OSTI)

    Swezey, B.; Aabakken, J.; Bird, L.

    2007-10-01

    In recent years, the demand for renewable electricity has accelerated as a consequence of state and federal policies and the growth of voluntary green power purchase markets, along with the generally improving economics of renewable energy development. This paper reports on a preliminary examination of the supply and demand balance for renewable electricity in the United States, with a focus on renewable energy projects that meet the generally accepted definition of "new" for voluntary market purposes, i.e., projects installed on or after January 1, 1997. After estimating current supply and demand, this paper presents projections of the supply and demand balance out to 2010 and describe a number of key market uncertainties.

  10. Where has Electricity Demand Growth Gon in PJM and What are the Implications?

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

    4 Paul M. Sotkiewicz, Ph.D. Chief Economist PJM Interconnection Where has Electricity Demand Growth Gone in PJM and What are the Implications? 2014 EIA Energy Conference Panel on Implications of a Zero/Low Electricity Demand Growth Scenario July 14, 2014 Washington, DC PJM©2014 2 PJM©2014 3 Why is it Important to Understand the Reasons For Flat to Declining Load Growth? * The industry is facing an unprecedented turnover in generation capital stock - 26,000 MW of retirements since 2009 (nearly

  11. Alabama Natural Gas % of Total Electric Utility Deliveries (Percent)

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

    Electric Utility Deliveries (Percent) Alabama Natural Gas % of Total Electric Utility Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.17 0.13 0.23 0.23 0.29 0.60 0.53 2000's 0.81 1.29 1.98 1.68 2.14 1.79 2.34 2.57 2.46 3.30 2010's 3.81 4.53 4.40 4.08 4.23 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  12. Table 15. Total Electricity Sales, Projected vs. Actual

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

    Total Electricity Sales, Projected vs. Actual" "Projected" " (billion kilowatt-hours)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",2843,2891,2928,2962,3004,3039,3071,3112,3148,3185,3228,3263,3298,3332,3371,3406,3433,3469 "AEO 1995",,2951,2967,2983,3026,3058,3085,3108,3134,3166,3204,3248,3285,3321,3357,3396,3433,3475 "AEO

  13. Table 15. Total Electricity Sales, Projected vs. Actual Projected

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

    Total Electricity Sales, Projected vs. Actual Projected (billion kilowatt-hours) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 2843 2891 2928 2962 3004 3039 3071 3112 3148 3185 3228 3263 3298 3332 3371 3406 3433 3469 AEO 1995 2951 2967 2983 3026 3058 3085 3108 3134 3166 3204 3248 3285 3321 3357 3396 3433 3475 AEO 1996 2973 2998 3039 3074 3106 3137 3173 3215 3262 3317 3363 3409 3454 3505 3553 3604 3660 3722 3775 AEO 1997 3075

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

    Broader source: Energy.gov [DOE]

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

  15. 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...

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

    SciTech Connect (OSTI)

    Baek, Young Sun; Hadley, Stanton W

    2012-01-01

    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.

  17. Estimated winter 1980-1981 electric demand and supply, contiguous United States. Staff report

    SciTech Connect (OSTI)

    None

    1980-12-01

    This report summarizes the most recent data available concerning projected electrical peak demands and available power resouces for the 1980-1981 winter peak period, as reported by electric utilities in the contiguous United States. The data, grouped by Regional Reliability Council areas and by Electrical Regions within the Council areas, was obtained from the Form 12E-2 reports filed by utilities with the Department of Energy on October 15, 1980 (data as of September 30). In some instances the data were revised or verified by telephone. Considerations affecting reliability, arising from Nuclear Regulatory Commission actions based on lessons learned from the forced outage of Three Mile Island Nuclear Unit No. 2, were factored into the report. No widespread large-scale reliability problems are foreseen for electric power supply this winter, on the basis of the supply and demand projections furnished by the electric utilities. Reserve margins could drop in some electric regions to levels considered inadequate for reliable service, if historical forced-outage magnitudes recur.

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

    SciTech Connect (OSTI)

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

    2013-02-01

    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.

  19. Electrical Energy and Demand Savings from a Geothermal Heat Pump ESPC at Fort Polk, LA

    SciTech Connect (OSTI)

    Shonder, John A; Hughes, Patrick

    1997-06-01

    At Fort Polk, Louisiana, the space-conditioning systems of an entire city (4,003 military family housing units) have been converted to geothermal heat pumps (GHPs) under an energy savings performance contract. At the same time, other efficiency measures, such as compact fluorescent lights, low-flow hot water outlets, and attic insulation, were installed. Pre- and post-retrofit data were taken at 15-minute intervals on energy flows through the electrical distribution feeders that serve the family housing areas of the post. Fifteen-minute interval data were also taken on energy use from a sample of the residences. The analysis presented in this paper shows that for a typical meteorological year, the retrofits result in an electrical energy savings of approximately 25.6 million kWh, or 32.4% of the pre-retrofit electrical use in family housing. Peak electrical demand has also been reduced by about 6.8 MW, which is 40% of pre-retrofit peak demand. In addition, the retrofits save about 260,000 therms per year of natural gas. It should be noted that the energy savings presented in this document are the 'apparent' energy savings observed in the monitored data and are not to be mistaken for the 'contracted' energy savings used as the basis for payments. To determine the 'contracted' energy savings, the 'apparent' energy savings may require adjustments for such things as changes in indoor temperature performance criteri, addition of ceiling fans, and other factors.

  20. Reducing Residential Peak Electricity Demand with Mechanical Pre-Cooling of Building Thermal Mass

    SciTech Connect (OSTI)

    Turner, Will; Walker, Iain; Roux, Jordan

    2014-08-01

    This study uses an advanced airflow, energy and humidity modelling tool to evaluate the potential for residential mechanical pre-cooling of building thermal mass to shift electricity loads away from the peak electricity demand period. The focus of this study is residential buildings with low thermal mass, such as timber-frame houses typical to the US. Simulations were performed for homes in 12 US DOE climate zones. The results show that the effectiveness of mechanical pre-cooling is highly dependent on climate zone and the selected pre-cooling strategy. The expected energy trade-off between cooling peak energy savings and increased off-peak energy use is also shown.

  1. Delaware Total Electric Power Industry Net Generation, by Energy...

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

    ...e","-","-","-","-","-" "Other","-","-",11,6,"-" "Total",7182,8534,7524,4842,5628 " " "s Value is less than 0.5 of the table metric, but value is included in any associated total.

  2. Modeling of Electric Water Heaters for Demand Response: A Baseline PDE Model

    SciTech Connect (OSTI)

    Xu, Zhijie; Diao, Ruisheng; Lu, Shuai; Lian, Jianming; Zhang, Yu

    2014-09-05

    Demand response (DR)control can effectively relieve balancing and frequency regulation burdens on conventional generators, facilitate integrating more renewable energy, and reduce generation and transmission investments needed to meet peak demands. Electric water heaters (EWHs) have a great potential in implementing DR control strategies because: (a) the EWH power consumption has a high correlation with daily load patterns; (b) they constitute a significant percentage of domestic electrical load; (c) the heating element is a resistor, without reactive power consumption; and (d) they can be used as energy storage devices when needed. Accurately modeling the dynamic behavior of EWHs is essential for designing DR controls. Various water heater models, simplified to different extents, were published in the literature; however, few of them were validated against field measurements, which may result in inaccuracy when implementing DR controls. In this paper, a partial differential equation physics-based model, developed to capture detailed temperature profiles at different tank locations, is validated against field test data for more than 10 days. The developed model shows very good performance in capturing water thermal dynamics for benchmark testing purposes

  3. Table A45. Total Inputs of Energy for Heat, Power, and Electricity...

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

    Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Enclosed Floorspace, Percent Conditioned Floorspace, and Presence of Computer" " Controls for Building ...

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

    Reports and Publications (EIA)

    2002-01-01

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

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

    SciTech Connect (OSTI)

    McNeil, Michael A.; Iyer, Maithili

    2009-05-30

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

  6. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;

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

    Next MECS will be conducted in 2010 Table 5.3 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS for Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Code(a) End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons)

  7. Electrical energy and demand savings from a geothermal heat pump energy savings performance contract at Ft. Polk, LA

    SciTech Connect (OSTI)

    Shonder, J.A.; Hughes, P.J.

    1997-06-01

    At Fort Polk, LA the space conditioning systems of an entire city (4,003 military family housing units) have been converted to geothermal heat pumps (GHP) under an energy savings performance contract. At the same time, other efficiency measures such as compact fluorescent lights (CFLs), low-flow hot water outlets, and attic insulation were installed. Pre- and post-retrofit data were taken at 15-minute intervals on energy flows through the electrical distribution feeders that serve the family housing areas of the post. 15-minute interval data was also taken on energy use from a sample of the residences. This paper summarizes the electrical energy and demand savings observed in this data. Analysis of feeder-level data shows that for a typical year, the project will result in a 25.6 million kWh savings in electrical energy use, or 32.4% of the pre-retrofit electrical consumption in family housing. Results from analysis of building-level data compare well with this figure. Analysis of feeder-level data also shows that the project has resulted in a reduction of peak electrical demand of 6,541 kW, which is 39.6% of the pre-retrofit peak electrical demand. In addition to these electrical savings, the facility is also saving an estimated 260,000 therms per year of natural gas. It should be noted that the energy savings presented in this document are the apparent energy savings observed in the monitored data, and are not to be confused with the contracted energy savings used as the basis for payments. To determine the contracted energy savings, the apparent energy savings may require adjustments for such things as changes in indoor temperature performance criteria, additions of ceiling fans, and other factors.

  8. Building America Top Innovations 2012: High-Performance with Solar Electric Reduced Peak Demand

    SciTech Connect (OSTI)

    none,

    2013-01-01

    This Building America Top Innovations profile describes Building America solar home research that has demonstrated the ability to reduce peak demand by 75%. Numerous field studies have monitored power production and system effectiveness.

  9. Total

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

    Cell shipments Total Inventory, start-of-year 328,658 Manufactured during reporting year ... Table 5. Source and disposition of photovoltaic cell shipments, 2013 (peak kilowatts) ...

  10. Time evolution of the total electric-field strength in multimode lasers

    SciTech Connect (OSTI)

    Brunner, W.; Fischer, R.; Paul, H.

    1988-05-01

    Our previous numerical studies of the output characteristics of multimode lasers are extended to include the evolution of the total electric-field strength. The regular or irregular behavior of the system, which becomes manifest in the evolution of the amplitudes and the phases in the different modes, is reflected also in the evolution of the total electric-field strength in a stroboscopic view. (The total electric-field strength, with its high-frequency time dependence suppressed, is considered at times t, t+..delta..t, t+2..delta..t,..., where ..delta..t is a multiple of the round-trip time in the resonator.) Moreover, it is demonstrated that the evolution of the system is very sensitive to slight changes in the initial conditions. This finding supports the view that the irregularity falls in the class of the so-called deterministic chaos.

  11. Thermal Energy Storage for Electricity Peak-demand Mitigation: A Solution in Developing and Developed World Alike

    SciTech Connect (OSTI)

    DeForest, Nicholas; Mendes, Goncalo; Stadler, Michael; Feng, Wei; Lai, Judy; Marnay, Chris

    2013-06-02

    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.

  12. Total............................................................

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

    Total................................................................... 111.1 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592

  13. Electric Demand Reduction for the U.S. Navy Public Works Center San Diego, California

    SciTech Connect (OSTI)

    Kintner-Meyer, Michael CW

    2000-09-30

    Pacific Northwest National Laboratory investigated the profitability of operating a Navy ship's generators (in San Diego) during high electricity price periods rather than the ships hooking up to the Base electrical system for power. Profitability is predicated on the trade-off between the operating and maintenance cost incurred by the Navy for operating the ship generators and the net profit associated with the sale of the electric power on the spot market. In addition, PNNL assessed the use of the ship's generators as a means to achieve predicted load curtailments, which can then be marketed to the California Independent System Operator.

  14. A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year Actual Weather Data

    SciTech Connect (OSTI)

    Hong, Tianzhen; Chang, Wen-Kuei; Lin, Hung-Wen

    2013-05-01

    Buildings consume more than one third of the world?s total primary energy. Weather plays a unique and significant role as it directly affects the thermal loads and thus energy performance of buildings. The traditional simulated energy performance using Typical Meteorological Year (TMY) weather data represents the building performance for a typical year, but not necessarily the average or typical long-term performance as buildings with different energy systems and designs respond differently to weather changes. Furthermore, the single-year TMY simulations do not provide a range of results that capture yearly variations due to changing weather, which is important for building energy management, and for performing risk assessments of energy efficiency investments. This paper employs large-scale building simulation (a total of 3162 runs) to study the weather impact on peak electricity demand and energy use with the 30-year (1980 to 2009) Actual Meteorological Year (AMY) weather data for three types of office buildings at two design efficiency levels, across all 17 ASHRAE climate zones. The simulated results using the AMY data are compared to those from the TMY3 data to determine and analyze the differences. Besides further demonstration, as done by other studies, that actual weather has a significant impact on both the peak electricity demand and energy use of buildings, the main findings from the current study include: 1) annual weather variation has a greater impact on the peak electricity demand than it does on energy use in buildings; 2) the simulated energy use using the TMY3 weather data is not necessarily representative of the average energy use over a long period, and the TMY3 results can be significantly higher or lower than those from the AMY data; 3) the weather impact is greater for buildings in colder climates than warmer climates; 4) the weather impact on the medium-sized office building was the greatest, followed by the large office and then the small office; and 5) simulated energy savings and peak demand reduction by energy conservation measures using the TMY3 weather data can be significantly underestimated or overestimated. It is crucial to run multi-decade simulations with AMY weather data to fully assess the impact of weather on the long-term performance of buildings, and to evaluate the energy savings potential of energy conservation measures for new and existing buildings from a life cycle perspective.

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

    SciTech Connect (OSTI)

    Letschert, Virginie; McNeil, Michael A.

    2008-05-13

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

  16. Total..........................................................

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

    14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500...... 3.2 0.7 Q 0.3 0.3 0.7 0.6 0.3 Q 500 to ...

  17. Considering the total cost of electricity from sunlight and the alternatives

    SciTech Connect (OSTI)

    none,

    2015-04-15

    Photovoltaic (PV) electricity generation has grown to about 17 GW in the United States, corresponding to one tenth of the global capacity. Most deployment in the country has happened during the last 6 years. Reflecting back in time, in early 2008 this author and his collaborators James Mason and Ken Zweibel, published in Scientific American and in Energy Policy a Solar Grand Plan demonstrating the feasibility of renewable energy in providing 69% of the U.S. electricity demand by 2050, while reducing CO2 emissions by 60% from 2005 levels; the PV contribution to this plan was assessed to be 250 GW by 2030, and 2,900 GW by 2050 [1]. The DOE’s more detailed SunShot vision study, released in 2012, showed the possibility of having 300 GW of PV installed in the United States by 2030, and 630 GW by 2050.

  18. Considering the total cost of electricity from sunlight and the alternatives

    SciTech Connect (OSTI)

    none,

    2015-04-15

    Photovoltaic (PV) electricity generation has grown to about 17 GW in the United States, corresponding to one tenth of the global capacity. Most deployment in the country has happened during the last 6 years. Reflecting back in time, in early 2008 this author and his collaborators James Mason and Ken Zweibel, published in Scientific American and in Energy Policy a Solar Grand Plan demonstrating the feasibility of renewable energy in providing 69% of the U.S. electricity demand by 2050, while reducing CO2 emissions by 60% from 2005 levels; the PV contribution to this plan was assessed to be 250 GW by 2030, and 2,900 GW by 2050 [1]. The DOEís more detailed SunShot vision study, released in 2012, showed the possibility of having 300 GW of PV installed in the United States by 2030, and 630 GW by 2050.

  19. Considering the total cost of electricity from sunlight and the alternatives

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

    none,

    2015-04-15

    Photovoltaic (PV) electricity generation has grown to about 17 GW in the United States, corresponding to one tenth of the global capacity. Most deployment in the country has happened during the last 6 years. Reflecting back in time, in early 2008 this author and his collaborators James Mason and Ken Zweibel, published in Scientific American and in Energy Policy a Solar Grand Plan demonstrating the feasibility of renewable energy in providing 69% of the U.S. electricity demand by 2050, while reducing CO2 emissions by 60% from 2005 levels; the PV contribution to this plan was assessed to be 250 GWmore¬†¬Ľ by 2030, and 2,900 GW by 2050 [1]. The DOE‚Äôs more detailed SunShot vision study, released in 2012, showed the possibility of having 300 GW of PV installed in the United States by 2030, and 630 GW by 2050.¬ę¬†less

  20. Total

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

    Product: Total Crude Oil Liquefied Petroleum Gases Propane/Propylene Normal Butane/Butylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Other Renewable Diesel Fuel Other Renewable Fuels Gasoline Blending Components Petroleum Products Finished Motor Gasoline Reformulated Gasoline Conventional Gasoline Kerosene-Type Jet Fuel Kerosene Distillate Fuel Oil Distillate Fuel Oil, 15 ppm Sulfur and Under Distillate Fuel Oil, Greater than 15 ppm to 500 ppm Sulfur

  1. 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)

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

    2010-06-01

    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.

  2. Total...................................................................

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

    15.2 7.8 1.0 1.2 3.3 1.9 For Two Housing Units............................. 0.9 Q N Q 0.6 N Heat Pump.................................................. 9.2 7.4 0.3 Q 0.7 0.5 Portable Electric Heater............................... 1.6 0.8 Q Q Q 0.3 Other Equipment......................................... 1.9 0.7 Q Q 0.7 Q Fuel Oil........................................................... 7.7 5.5 0.4 0.8 0.9 0.2 Steam or Hot Water System........................ 4.7 2.9 Q 0.7 0.8 N For One Housing

  3. Total..........................................................................

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

    . 111.1 20.6 15.1 5.5 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.4 500 to 999........................................................... 23.8 4.6 3.6 1.1 1,000 to 1,499..................................................... 20.8 2.8 2.2 0.6 1,500 to 1,999..................................................... 15.4 1.9 1.4 0.5 2,000 to 2,499..................................................... 12.2 2.3 1.7 0.5 2,500 to

  4. Total..........................................................................

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

    5.6 17.7 7.9 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.5 0.3 Q 500 to 999........................................................... 23.8 3.9 2.4 1.5 1,000 to 1,499..................................................... 20.8 4.4 3.2 1.2 1,500 to 1,999..................................................... 15.4 3.5 2.4 1.1 2,000 to 2,499..................................................... 12.2 3.2 2.1 1.1 2,500 to

  5. Total..........................................................................

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

    0.7 21.7 6.9 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.6 Q Q 500 to 999........................................................... 23.8 9.0 4.2 1.5 3.2 1,000 to 1,499..................................................... 20.8 8.6 4.7 1.5 2.5 1,500 to 1,999..................................................... 15.4 6.0 2.9 1.2 1.9 2,000 to 2,499..................................................... 12.2 4.1 2.1 0.7

  6. Total..........................................................................

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

    4.2 7.6 16.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 1.0 0.2 0.8 500 to 999........................................................... 23.8 6.3 1.4 4.9 1,000 to 1,499..................................................... 20.8 5.0 1.6 3.4 1,500 to 1,999..................................................... 15.4 4.0 1.4 2.6 2,000 to 2,499..................................................... 12.2 2.6 0.9 1.7 2,500 to

  7. Total..........................................................................

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

    7.1 19.0 22.7 22.3 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 2.1 0.6 Q 0.4 500 to 999........................................................... 23.8 13.6 3.7 3.2 3.2 1,000 to 1,499..................................................... 20.8 9.5 3.7 3.4 4.2 1,500 to 1,999..................................................... 15.4 6.6 2.7 2.5 3.6 2,000 to 2,499..................................................... 12.2 5.0 2.1

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

    SciTech Connect (OSTI)

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

    2010-11-01

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

  9. Total................................................

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

    .. 111.1 86.6 2,522 1,970 1,310 1,812 1,475 821 1,055 944 554 Total Floorspace (Square Feet) Fewer than 500............................. 3.2 0.9 261 336 162 Q Q Q 334 260 Q 500 to 999.................................... 23.8 9.4 670 683 320 705 666 274 811 721 363 1,000 to 1,499.............................. 20.8 15.0 1,121 1,083 622 1,129 1,052 535 1,228 1,090 676 1,500 to 1,999.............................. 15.4 14.4 1,574 1,450 945 1,628 1,327 629 1,712 1,489 808 2,000 to

  10. Total..........................................................

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

    .. 111.1 24.5 1,090 902 341 872 780 441 Total Floorspace (Square Feet) Fewer than 500...................................... 3.1 2.3 403 360 165 366 348 93 500 to 999.............................................. 22.2 14.4 763 660 277 730 646 303 1,000 to 1,499........................................ 19.1 5.8 1,223 1,130 496 1,187 1,086 696 1,500 to 1,999........................................ 14.4 1.0 1,700 1,422 412 1,698 1,544 1,348 2,000 to 2,499........................................ 12.7

  11. Total...................................................................

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

    Floorspace (Square Feet) Total Floorspace 1 Fewer than 500............................................ 3.2 0.4 Q 0.6 1.7 0.4 500 to 999................................................... 23.8 4.8 1.4 4.2 10.2 3.2 1,000 to 1,499............................................. 20.8 10.6 1.8 1.8 4.0 2.6 1,500 to 1,999............................................. 15.4 12.4 1.5 0.5 0.5 0.4 2,000 to 2,499............................................. 12.2 10.7 1.0 0.2 Q Q 2,500 to

  12. Total.........................................................................

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

    Floorspace (Square Feet) Total Floorspace 2 Fewer than 500.................................................. 3.2 Q 0.8 0.9 0.8 0.5 500 to 999.......................................................... 23.8 1.5 5.4 5.5 6.1 5.3 1,000 to 1,499.................................................... 20.8 1.4 4.0 5.2 5.0 5.2 1,500 to 1,999.................................................... 15.4 1.4 3.1 3.5 3.6 3.8 2,000 to 2,499.................................................... 12.2 1.4 3.2 3.0 2.3 2.3

  13. Total..........................................................................

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

    25.6 40.7 24.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.9 1.0 500 to 999........................................................... 23.8 4.6 3.9 9.0 6.3 1,000 to 1,499..................................................... 20.8 2.8 4.4 8.6 5.0 1,500 to 1,999..................................................... 15.4 1.9 3.5 6.0 4.0 2,000 to 2,499..................................................... 12.2 2.3 3.2 4.1

  14. Total..........................................................................

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

    7.1 7.0 8.0 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.4 Q Q 0.5 500 to 999........................................................... 23.8 2.5 1.5 2.1 3.7 1,000 to 1,499..................................................... 20.8 1.1 2.0 1.5 2.5 1,500 to 1,999..................................................... 15.4 0.5 1.2 1.2 1.9 2,000 to 2,499..................................................... 12.2 0.7 0.5 0.8 1.4

  15. ,"Table 4.B Winter Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Corporation Region,"

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

    B Winter Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Corporation Region," ,"2001-2010 Actual, 2011-2015 Projected" ,"(Megawatts and Percent)" ,"Interconnection","NERC Regional Assesment Area","Net Internal Demand[1] -- Winter" ,,,"Actual",,,,,,,,,,"Projected"

  16. Total...........................................................

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

    26.7 28.8 20.6 13.1 22.0 16.6 38.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................... 3.2 1.9 0.9 Q Q Q 1.3 2.3 500 to 999........................................... 23.8 10.5 7.3 3.3 1.4 1.2 6.6 12.9 1,000 to 1,499..................................... 20.8 5.8 7.0 3.8 2.2 2.0 3.9 8.9 1,500 to 1,999..................................... 15.4 3.1 4.2 3.4 2.0 2.7 1.9 5.0 2,000 to 2,499..................................... 12.2 1.7 2.7 2.9 1.8 3.2 1.1 2.8

  17. Efforts to Harmonize Gas Pipeline Operations with the Demands of the Electricity Sector

    SciTech Connect (OSTI)

    Costello, Ken

    2006-12-15

    A possible future course of action is for pipelines to continue their efforts to provide new services with FERC approval. Over time, pipelines could satisfy power generators by giving them the flexibility and services they desire and for which they are willing to pay. Another possibility is that FERC will enact new rules governing regional electricity markets that would function similarly to nationwide business practices. (author)

  18. Considering the total cost of electricity from sunlight and the alternatives

    SciTech Connect (OSTI)

    Fthenakis, Vasilis

    2015-03-01

    Photovoltaic (PV) electricity generation has grown to about 17 GW in the United States, corresponding to one tenth of the global capacity. Most deployment in the country has happened during the last 6 years. Reflecting back, in early 2008 this author and his collaborators James Mason and Ken Zweibel, published in Scientific American and in Energy Policy a Solar Grand Plan demonstrating the feasibility of renewable energy in providing 69% of the United States electricity demand by 2050, while reducing CO2 emissions by 60% from 2005 levels; the PV contribution to this plan was assessed to be 250 GW by 2030 and 2900 GW by 2050 [1]. The DOE's more detailed SunShot vision study, released in 2012, showed the possibility of having 300 GW of PV installed in the United States by 2030, and 630 GW by 2050. Assessing the sustainability of such rapid growth of photovoltaics necessitates undertaking a careful analysis because PV markets largely are enabled by its promise to produce reliable electricity with minimum environmental burdens. Measurable aspects of sustainability include cost, resource availability, and environmental impact. The question of cost concerns the affordability of solar energy compared to other energy sources throughout the world. Environmental impacts include local-, regional-, and global-effects, as well as the usage of land and water, which must be considered in a comparable context over a long time, multigenerational horizon. As a result, the availability of material resources matters to current and future-generations under the constraint of affordability.

  19. Table A11. Total Inputs of Energy for Heat, Power, and Electricity Generatio

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

    2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,,"Distillate",,,"(excluding" ,,,,"Fuel Oil",,,"Coal Coke",,"RSE" ,,"Net","Residual","and Diesel",,,"and",,"Row" "End-Use Categories","Total","Electricity(a)","Fuel Oil","Fuel(b)","Natural

  20. Table A37. Total Inputs of Energy for Heat, Power, and Electricity

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

    2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,,"Distillate",,,"(excluding" ,,,,"Fuel Oil",,,"Coal Coke",,"RSE" ,,"Net","Residual","and Diesel",,,"and",,"Row" "End-Use Categories","Total","Electricity(a)","Fuel Oil","Fuel(b)","Natural

  1. Table A41. Total Inputs of Energy for Heat, Power, and Electricity

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

    A41. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Census Region, Industry Group, Selected Industries, and Type of" " Energy Management Program, 1991" " (Estimates in Trillion Btu)" ,,," Census Region",,,,"RSE" "SIC","Industry Groups",," -------------------------------------------",,,,"Row" "Code(a)","and

  2. Table A50. Total Inputs of Energy for Heat, Power, and Electricity Generatio

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

    A50. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Industry Group, Selected Industries, and Type of" " Energy-Management Program, 1994" " (Estimates in Trillion Btu)" ,,,," Census Region",,,"RSE" "SIC",,,,,,,"Row" "Code(a)","Industry Group and

  3. Demand Response | Department of Energy

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

    Demand Response Demand Response Demand Response Demand response provides an opportunity for consumers to play a significant role in the operation of the electric grid by reducing or shifting their electricity usage during peak periods in response to time-based rates or other forms of financial incentives. Demand response programs are being used by electric system planners and operators as resource options for balancing supply and demand. Such programs can lower the cost of electricity in

  4. Considering the total cost of electricity from sunlight and the alternatives

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

    Fthenakis, Vasilis

    2015-03-01

    Photovoltaic (PV) electricity generation has grown to about 17 GW in the United States, corresponding to one tenth of the global capacity. Most deployment in the country has happened during the last 6 years. Reflecting back, in early 2008 this author and his collaborators James Mason and Ken Zweibel, published in Scientific American and in Energy Policy a Solar Grand Plan demonstrating the feasibility of renewable energy in providing 69% of the United States electricity demand by 2050, while reducing CO2 emissions by 60% from 2005 levels; the PV contribution to this plan was assessed to be 250 GW bymore¬†¬Ľ 2030 and 2900 GW by 2050 [1]. The DOE's more detailed SunShot vision study, released in 2012, showed the possibility of having 300 GW of PV installed in the United States by 2030, and 630 GW by 2050. Assessing the sustainability of such rapid growth of photovoltaics necessitates undertaking a careful analysis because PV markets largely are enabled by its promise to produce reliable electricity with minimum environmental burdens. Measurable aspects of sustainability include cost, resource availability, and environmental impact. The question of cost concerns the affordability of solar energy compared to other energy sources throughout the world. Environmental impacts include local-, regional-, and global-effects, as well as the usage of land and water, which must be considered in a comparable context over a long time, multigenerational horizon. As a result, the availability of material resources matters to current and future-generations under the constraint of affordability.¬ę¬†less

  5. Table A10. Total Inputs of Energy for Heat, Power, and Electricity Generatio

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

    1" " (Estimates in Btu or Physical Units)" ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding" ,,,"Net","Residual","and Diesel",,,"Coal Coke",,"RSE" "SIC",,"Total","Electricity(b)","Fuel Oil","Fuel(c)","Natural Gas(d)","LPG","and Breeze)","Other(e)","Row" "Code(a)","End-Use

  6. Table A10. Total Inputs of Energy for Heat, Power, and Electricity Generatio

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

    0. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Fuel Type, Industry Group, Selected Industries, and End Use, 1994:" " Part 2" " (Estimates in Trillion Btu)" ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding",,"RSE" "SIC",,,"Net","Residual","and Diesel",,,"Coal Coke",,"Row" "Code(a)","End-Use

  7. Table A11. Total Inputs of Energy for Heat, Power, and Electricity Generatio

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

    1" " (Estimates in Btu or Physical Units)" ,,,,"Distillate",,,"Coal" ,,,,"Fuel Oil",,,"(excluding" ,,"Net","Residual","and Diesel",,,"Coal Coke",,"RSE" ,"Total","Electricity(a)","Fuel Oil","Fuel(b)","Natural Gas(c)","LPG","and Breeze)","Other(d)","Row" "End-Use Categories","(trillion

  8. Table A36. Total Inputs of Energy for Heat, Power, and Electricity

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

    ,,,,,,,,"Coal" " Part 1",,,,,,,,"(excluding" " (Estimates in Btu or Physical Units)",,,,,"Distillate",,,"Coal Coke" ,,,,,"Fuel Oil",,,"and" ,,,"Net","Residual","and Diesel","Natural Gas",,"Breeze)",,"RSE" "SIC",,"Total","Electricity(b)","Fuel Oil","Fuel","(billion","LPG","(1000

  9. Table A36. Total Inputs of Energy for Heat, Power, and Electricity

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

    " Part 2" " (Estimates in Trillion Btu)",,,,,,,,"Coal" ,,,,,"Distillate",,,"(excluding" ,,,,,"Fuel Oil",,,"Coal Coke",,"RSE" "SIC",,,"Net","Residual","and Diesel",,,"and",,"Row" "Code(a)","End-Use Categories","Total","Electricity(b)","Fuel Oil","Fuel(c)","Natural

  10. Table A37. Total Inputs of Energy for Heat, Power, and Electricity

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

    1",,,,,,,"Coal" " (Estimates in Btu or Physical Units)",,,,,,,"(excluding" ,,,,"Distillate",,,"Coal Coke" ,,"Net",,"Fuel Oil",,,"and" ,,"Electricity(a)","Residual","and Diesel","Natural Gas",,"Breeze)",,"RSE" ,"Total","(million","Fuel Oil","Fuel","(billion","LPG","(1000

  11. United States Total Electric Power Industry Net Generation, by Energy Source

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

    Total Electric Power Industry Net Generation, by Energy Source, 2006 - 2010" "(Thousand Megawatthours)" "United States" "Energy Source",2006,2007,2008,2009,2010 "Fossil",2885295,2992238,2926731,2726452,2883361 " Coal",1990511,2016456,1985801,1755904,1847290 " Petroleum",64166,65739,46243,38937,37061 " Natural Gas",816441,896590,882981,920979,987697 " Other Gases",14177,13453,11707,10632,11313

  12. United States Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Total Electric Power Industry Net Summer Capacity, by Energy Source, 2006 - 2010" "(Megawatts)" "United States" "Energy Source",2006,2007,2008,2009,2010 "Fossil",761603,763994,770221,774279,782176 " Coal",312956,312738,313322,314294,316800 " Petroleum",58097,56068,57445,56781,55647 " Natural Gas",388294,392876,397460,401272,407028 " Other Gases",2256,2313,1995,1932,2700

  13. Impacts of Rising Air Temperatures and Emissions Mitigation on Electricity Demand and Supply in the United States. A Multi-Model Comparison

    SciTech Connect (OSTI)

    McFarland, James; Zhou, Yuyu; Clarke, Leon; Sullivan, Patrick; Colman, Jesse; Jaglom, Wendy S.; Colley, Michelle; Patel, Pralit; Eom, Jiyon; Kim, Son H.; Kyle, G. Page; Schultz, Peter; Venkatesh, Boddu; Haydel, Juanita; Mack, Charlotte; Creason, Jared

    2015-06-10

    The electric power sector both affects and is affected by climate change. Numerous studies highlight the potential of the power sector to reduce greenhouse gas emissions. Fewer studies have explored the physical impacts of climate change on the power sector. Our present analysis examines how projected rising temperatures affect the demand for and supply of electricity. We apply a common set of temperature projections to three well-known electric sector models in the United States: the US version of the Global Change Assessment Model (GCAM-USA), the Regional Electricity Deployment System model (ReEDS), and the Integrated Planning Model (IPM¬ģ). Incorporating the effects of rising temperatures from a control scenario without emission mitigation into the models raises electricity demand by 1.6 to 6.5 % in 2050 with similar changes in emissions. Moreover, the increase in system costs in the reference scenario to meet this additional demand is comparable to the change in system costs associated with decreasing power sector emissions by approximately 50 % in 2050. This result underscores the importance of adequately incorporating the effects of long-run temperature change in climate policy analysis.

  14. Impacts of Rising Air Temperatures and Emissions Mitigation on Electricity Demand and Supply in the United States. A Multi-Model Comparison

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

    McFarland, James; Zhou, Yuyu; Clarke, Leon; Sullivan, Patrick; Colman, Jesse; Jaglom, Wendy S.; Colley, Michelle; Patel, Pralit; Eom, Jiyon; Kim, Son H.; et al

    2015-06-10

    The electric power sector both affects and is affected by climate change. Numerous studies highlight the potential of the power sector to reduce greenhouse gas emissions. Fewer studies have explored the physical impacts of climate change on the power sector. Our present analysis examines how projected rising temperatures affect the demand for and supply of electricity. We apply a common set of temperature projections to three well-known electric sector models in the United States: the US version of the Global Change Assessment Model (GCAM-USA), the Regional Electricity Deployment System model (ReEDS), and the Integrated Planning Model (IPM¬ģ). Incorporating the effectsmore¬†¬Ľ of rising temperatures from a control scenario without emission mitigation into the models raises electricity demand by 1.6 to 6.5 % in 2050 with similar changes in emissions. Moreover, the increase in system costs in the reference scenario to meet this additional demand is comparable to the change in system costs associated with decreasing power sector emissions by approximately 50 % in 2050. This result underscores the importance of adequately incorporating the effects of long-run temperature change in climate policy analysis.¬ę¬†less

  15. Impacts of rising air temperatures and emissions mitigation on electricity demand and supply in the United States: a multi-model comparison

    SciTech Connect (OSTI)

    McFarland, Jim; Zhou, Yuyu; Clarke, Leon E.; Sullivan, Patrick; Colman, Jesse; Jaglom, Wendy; Colley, Michelle; Patel, Pralit L.; Eom, Jiyong; Kim, Son H.; Kyle, G. Page; Schultz, Peter; Venkatesh, Boddu; Haydel, Juanita; Mack, Charlotte; Creason, Jared

    2015-10-09

    The electric power sector both affects and is affected by climate change. Numerous studies highlight the potential of the power sector to reduce greenhouse gas emissions. Yet fewer studies have explored the physical impacts of climate change on the power sector. The present analysis examines how projected rising temperatures affect the demand for and supply of electricity. We apply a common set of temperature projections to three well-known electric sector models in the United States: the US version of the Global Change Assessment Model (GCAM-USA), the Regional Electricity Deployment System model (ReEDS), and the Integrated Planning Model (IPM¬ģ). Incorporating the effects of rising temperatures from a control scenario without emission mitigation into the models raises electricity demand by 1.6 to 6.5 % in 2050 with similar changes in emissions. The increase in system costs in the reference scenario to meet this additional demand is comparable to the change in system costs associated with decreasing power sector emissions by approximately 50 % in 2050. This result underscores the importance of adequately incorporating the effects of long-run temperature change in climate policy analysis.

  16. Erratum to: Impacts of rising air temperatures and emissions mitigation on electricity demand and supply in the United States: a multi-model comparison

    SciTech Connect (OSTI)

    McFarland, Jim; Zhou, Yuyu; Clarke, Leon E.; Sullivan, Patrick; Colman, Jesse; Jaglom, Wendy; Colley, Michelle; Patel, Pralit L.; Eom, Jiyong; Kim, Son H.; Kyle, G. Page; Schultz, Peter; Venkatesh, Boddu; Haydel, Juanita; Mack, Charlotte; Creason, Jared

    2015-10-07

    The electric power sector both affects and is affected by climate change. Numerous studies highlight the potential of the power sector to reduce greenhouse gas emissions. Yet fewer studies have explored the physical impacts of climate change on the power sector. The present analysis examines how projected rising temperatures affect the demand for and supply of electricity. We apply a common set of temperature projections to three well-known electric sector models in the United States: the US version of the Global Change Assessment Model (GCAM-USA), the Regional Electricity Deployment System model (ReEDS), and the Integrated Planning Model (IPM¬ģ). Incorporating the effects of rising temperatures from a control scenario without emission mitigation into the models raises electricity demand by 1.6 to 6.5 % in 2050 with similar changes in emissions. The increase in system costs in the reference scenario to meet this additional demand is comparable to the change in system costs associated with decreasing power sector emissions by approximately 50 % in 2050. This result underscores the importance of adequately incorporating the effects of long-run temperature change in climate policy analysis.

  17. Using Electricity",,,"Electricity Consumption",,,"Electricity...

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

    . Total Electricity Consumption and Expenditures, 2003" ,"All Buildings* Using Electricity",,,"Electricity Consumption",,,"Electricity Expenditures" ,"Number of Buildings...

  18. Automated Demand Response Opportunities in Wastewater Treatment Facilities

    SciTech Connect (OSTI)

    Thompson, Lisa; Song, Katherine; Lekov, Alex; McKane, Aimee

    2008-11-19

    Wastewater treatment is an energy intensive process which, together with water treatment, comprises about three percent of U.S. annual energy use. Yet, since wastewater treatment facilities are often peripheral to major electricity-using industries, they are frequently an overlooked area for automated demand response opportunities. Demand response is a set of actions taken to reduce electric loads when contingencies, such as emergencies or congestion, occur that threaten supply-demand balance, and/or market conditions occur that raise electric supply costs. Demand response programs are designed to improve the reliability of the electric grid and to lower the use of electricity during peak times to reduce the total system costs. Open automated demand response is a set of continuous, open communication signals and systems provided over the Internet to allow facilities to automate their demand response activities without the need for manual actions. Automated demand response strategies can be implemented as an enhanced use of upgraded equipment and facility control strategies installed as energy efficiency measures. Conversely, installation of controls to support automated demand response may result in improved energy efficiency through real-time access to operational data. This paper argues that the implementation of energy efficiency opportunities in wastewater treatment facilities creates a base for achieving successful demand reductions. This paper characterizes energy use and the state of demand response readiness in wastewater treatment facilities and outlines automated demand response opportunities.

  19. ,"Table 3A.1. January Monthly Peak Hour Demand, by North American Electric Reliability Corporation Assesment Area,"

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

    A.1. January Monthly Peak Hour Demand, by North American Electric Reliability Corporation Assesment Area," ,"1996-2010 Actual, 2011-2012 Projected" ,"(Megawatts)" ,"January","NERC Regional Assesment Area" ,,,"Actual",,,,,,,,,,,,,,,"Projected" ,,,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"2011E","2012E" ,"Eastern

  20. ,"Table 3B.1. FRCC Monthly Peak Hour Demand, by North American Electric Reliability Corporation Assesment Area,"

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

    B.1. FRCC Monthly Peak Hour Demand, by North American Electric Reliability Corporation Assesment Area," ,"1996-2010 Actual, 2011-2012 Projected" ,"(Megawatts)" ,"FRCC","Year","January","February","March","April","May","June","July","August","September","October","November","December"

  1. ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Corporation Region, "

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

    January 2010" ,"Next Update: October 2010" ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2008 and Projected 2009 through 2010 " ,"(Megawatts and 2008 Base Year)" ,"Projected Monthly Base","Year","Contiguous U.S.","Eastern Power Grid",,,,,,"Texas Power Grid","Western Power Grid"

  2. ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Council Region, "

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

    ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Council Region, " ,"1996 through 2003 and Projected 2004 through 2005 " ,"(Megawatts and 2003 Base Year)" ,"Projected Monthly Base","Year","Contiguous U.S.","Eastern Power Grid",,,,,,,,"Texas Power Grid","Western Power Grid"

  3. ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Council Region, "

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

    3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Council Region, " ,"2005 and Projected 2006 through 2010 " ,"(Megawatts and 2005 Base Year)" ,"Projected Monthly Base","Year","Contiguous U.S.","Eastern Power Grid",,,,,,"Texas Power Grid","Western Power Grid"

  4. Configuring load as a resource for competitive electricity markets--Review of demand response programs in the U.S. and around the world

    SciTech Connect (OSTI)

    Heffner, Grayson C.

    2002-09-01

    The restructuring of regional and national electricity markets in the U.S. and around the world has been accompanied by numerous problems, including generation capacity shortages, transmission congestion, wholesale price volatility, and reduced system reliability. These problems have created new opportunities for technologies and business approaches that allow load serving entities and other aggregators to control and manage the load patterns of wholesale and retail end-users they serve. Demand Response Programs, once called Load Management, have re-emerged as an important element in the fine-tuning of newly restructured electricity markets. During the summers of 1999 and 2001 they played a vital role in stabilizing wholesale markets and providing a hedge against generation shortfalls throughout the U.S.A. Demand Response Programs include ''traditional'' capacity reservation and interruptible/curtailable rates programs as well as voluntary demand bidding programs offered by either Load Serving Entities (LSEs) or regional Independent System Operators (ISOs). The Lawrence Berkeley National Lab (LBNL) has been monitoring the development of new types of Demand Response Programs both in the U.S. and around the world. This paper provides a survey and overview of the technologies and program designs that make up these emerging and important new programs.

  5. Strategies for Demand Response in Commercial Buildings

    SciTech Connect (OSTI)

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

    2006-06-20

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

  6. "Characteristic(a)","Total(b)","Electricity(c)","Fuel Oil","Fuel...

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

    Gas(e)","NGL(f)","Coal","Breeze","Other(g)","Produced Onsite(h)" ,"Total United ... raw" "Natural Gas Liquids '(NGL).'" " (g) 'Other' includes net steam (the sum of ...

  7. "2014 Total Electric Industry- Average Retail Price (cents/kWh...

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

    EIA-861U)" "State","Residential","Commercial","Industrial","Transportation","Total" "New England",17.822291,14.699138,11.842263,10.37511,15.452998 "Connecticut",19.748254,15.547557...

  8. ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Corporation Region, "

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

    6" ,"Released: February 7, 2008" ,"Next Update: October 2008" ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2006 and Projected 2007 through 2011 " ,"(Megawatts and 2006 Base Year)" ,"Projected Monthly Base","Year","Contiguous U.S.","Eastern Power Grid",,,,,,"Texas Power Grid","Western Power Grid"

  9. ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Corporation Region, "

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

    7" ,"Released: February 2009" ,"Next Update: October 2009" ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2007 and Projected 2008 through 2009 " ,"(Megawatts and 2007 Base Year)" ,"Projected Monthly Base","Year","Contiguous U.S.","Eastern Power Grid",,,,,,"Texas Power Grid","Western Power Grid"

  10. Demand Response - Policy | Department of Energy

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

    Demand Response - Policy Demand Response - Policy Since its inception, the Office of Electricity Delivery and Energy Reliability (OE) has been committed to modernizing the nation's ...

  11. Progress toward Producing Demand-Response-Ready Appliances

    SciTech Connect (OSTI)

    Hammerstrom, Donald J.; Sastry, Chellury

    2009-12-01

    This report summarizes several historical and ongoing efforts to make small electrical demand-side devices like home appliances more responsive to the dynamic needs of electric power grids. Whereas the utility community often reserves the word demand response for infrequent 2 to 6 hour curtailments that reduce total electrical system peak load, other beneficial responses and ancillary services that may be provided by responsive electrical demand are of interest. Historically, demand responses from the demand side have been obtained by applying external, retrofitted, controlled switches to existing electrical demand. This report is directed instead toward those manufactured products, including appliances, that are able to provide demand responses as soon as they are purchased and that require few, or no, after-market modifications to make them responsive to needs of power grids. Efforts to be summarized include Open Automated Demand Response, the Association of Home Appliance Manufacturer standard CHA 1, a simple interface being developed by the U-SNAP Alliance, various emerging autonomous responses, and the recent PinBus interface that was developed at Pacific Northwest National Laboratory.

  12. Using Electricity",,,"Electricity Consumption",,,"Electricity...

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

    A. Total Electricity Consumption and Expenditures for All Buildings, 2003" ,"All Buildings Using Electricity",,,"Electricity Consumption",,,"Electricity Expenditures" ,"Number of...

  13. Electricity",,,"Electricity Consumption",,,"Electricity Expenditures...

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

    C9. Total Electricity Consumption and Expenditures, 1999" ,"All Buildings Using Electricity",,,"Electricity Consumption",,,"Electricity Expenditures" ,"Number of Buildings...

  14. Electricity",,,"Electricity Consumption",,,"Electricity Expenditures...

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

    DIV. Total Electricity Consumption and Expenditures by Census Division, 1999" ,"All Buildings Using Electricity",,,"Electricity Consumption",,,"Electricity Expenditures" ,"Number...

  15. 2014 Total Electric Industry- Average Retail Price (cents/kWh)

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

    Average Retail Price (cents/kWh) (Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U) State Residential Commercial Industrial Transportation Total New England 17.82 14.70 11.84 10.38 15.45 Connecticut 19.75 15.55 12.92 13.08 17.05 Maine 15.27 12.70 8.95 0.00 12.65 Massachusetts 17.39 14.68 12.74 8.76 15.35 New Hampshire 17.53 14.34 11.93 0.00 15.22 Rhode Island 17.17 14.56 12.86 14.89 15.41 Vermont 17.47 14.56 10.23 0.00 14.57 Middle Atlantic 16.39 13.65 7.61 12.28 13.41 New Jersey

  16. Open Automated Demand Response for Small Commerical Buildings

    SciTech Connect (OSTI)

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

    2009-05-01

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

  17. EIA projections of coal supply and demand

    SciTech Connect (OSTI)

    Klein, D.E.

    1989-10-23

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

  18. Demand Response - Policy | Department of Energy

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

    Demand Response - Policy Demand Response - Policy Since its inception, the Office of Electricity Delivery and Energy Reliability (OE) has been committed to modernizing the nation's electricity delivery infrastructure to assure consumers a robust, reliable electric power system that meets their increasing demand for energy. OE's mission includes assisting states and regions in developing policies that decrease demand on existing energy infrastructure. Appropriate cost-effective demand response

  19. Demand Response (transactional control) - Energy Innovation Portal

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

    Energy Analysis Energy Analysis Electricity Transmission Electricity Transmission Find More Like This Return to Search Demand Response (transactional control) Pacific Northwest ...

  20. Distributed Automated Demand Response - Energy Innovation Portal

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

    Energy Analysis Energy Analysis Electricity Transmission Electricity Transmission Find More Like This Return to Search Distributed Automated Demand Response Lawrence Livermore ...

  1. 2014,"AK","Total Electric Power Industry","All Sources",10,6,59.1,52.9

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

    "Planned Year","State Code","Producer Type","Fuel Source","Generators","Facilities","Nameplate Capacity (Megawatts)","Summer Capacity (Megawatts)" 2014,"AK","Total Electric Power Industry","All Sources",10,6,59.1,52.9 2014,"AK","Total Electric Power Industry","Hydroelectric",2,1,4.8,4.8 2014,"AK","Total Electric Power

  2. Demand Response Dispatch Tool

    SciTech Connect (OSTI)

    2012-08-31

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

  3. Demand Dispatch-Intelligent

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

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

  4. ELECTRICAL LOAD ANTICIPATOR AND RECORDER

    DOE Patents [OSTI]

    Werme, J.E.

    1961-09-01

    A system is described in which an indication of the prevailing energy consumption in an electrical power metering system and a projected power demand for one demand in terval is provided at selected increments of time within the demand interval. Each watt-hour meter in the system is provided with an impulse generator that generates two impulses for each revolution of the meter disc. In each demand interval, for example, one half-hour, of the metering system, the total impulses received from all of the meters are continuously totaled for each 5-minute interval and multiplied by a number from 6 to 1 depending upon which 5- minute interval the impulses were received. This value is added to the total pulses received in the intervals preceding the current 5-minute interval within the half-hour demand interval tc thereby provide an indication of the projected power demand every 5 minutes in the demand interval.

  5. Total energy cycle assessment of electric and conventional vehicles: an energy and environmental analysis. Volume 1: technical report

    SciTech Connect (OSTI)

    Cuenca, R.; Formento, J.; Gaines, L.; Marr, B.; Santini, D.; Wang, M.; Adelman, S.; Kline, D.; Mark, J.; Ohi, J.; Rau, N.; Freeman, S.; Humphreys, K.; Placet, M.

    1998-01-01

    This report compares the energy use, oil use and emissions of electric vehicles (EVs) with those of conventional, gasoline-powered vehicles (CVs) over the total life cycle of the vehicles. The various stages included in the vehicles` life cycles include vehicle manufacture, fuel production, and vehicle operation. Disposal is not included. An inventory of the air emissions associated with each stage of the life cycle is estimated. Water pollutants and solid wastes are reported for individual processes, but no comprehensive inventory is developed. Volume I contains the major results, a discussion of the conceptual framework of the study, and summaries of the vehicle, utility, fuel production, and manufacturing analyses. It also contains summaries of comments provided by external peer reviewers and brief responses to these comments.

  6. NCEP_Demand_Response_Draft_111208.indd

    Energy Savers [EERE]

    National Council on Electricity Policy: Electric Transmission Series for State Offi cials Demand Response and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A Summary for State Offi cials Demand Response and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A Summary for State Offi cials Prepared by the U.S. Demand Response Coordinating Committee for The National Council on Electricity Policy Fall 2008 i National Council on Electricity Policy: Electric

  7. Automated Demand Response and Commissioning

    SciTech Connect (OSTI)

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

    2005-04-01

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

  8. Table 8.11a Electric Net Summer Capacity: Total (All Sectors), 1949-2011 (Sum of Tables 8.11b and 8.11d; Kilowatts)

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

    a Electric Net Summer Capacity: Total (All Sectors), 1949-2011 (Sum of Tables 8.11b and 8.11d; Kilowatts) Year Fossil Fuels Nuclear Electric Power Hydro- electric Pumped Storage Renewable Energy Other 9 Total Coal 1 Petroleum 2 Natural Gas 3 Other Gases 4 Total Conventional Hydroelectric Power 5 Biomass Geo- thermal Solar/PV 8 Wind Total Wood 6 Waste 7 1949 NA NA NA NA 44,887,000 0 [5] 18,500,000 13,000 [10] NA NA NA 18,513,000 NA 63,400,000 1950 NA NA NA NA 49,987,000 0 [5] 19,200,000 13,000

  9. Load Reduction, Demand Response and Energy Efficient Technologies and Strategies

    SciTech Connect (OSTI)

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

    2008-11-19

    The Department of Energyís (DOEís) 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.

  10. Demand Response Dispatch Tool

    Energy Science and Technology Software Center (OSTI)

    2012-08-31

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

  11. Demand Response

    Energy Savers [EERE]

    Demand Response Assessment for Eastern Interconnection Youngsun Baek, Stanton W. Hadley, Rocio Martinez, Gbadebo Oladosu, Alexander M. Smith, Fran Li, Paul Leiby and Russell Lee Prepared for FY12 DOE-CERTS Transmission Reliability R&D Internal Program Review September 20, 2012 2 Managed by UT-Battelle for the U.S. Department of Energy DOE National Laboratory Studies Funded to Support FOA 63 * DOE set aside $20 million from transmission funding for national laboratory studies. * DOE

  12. travel-demand-modeling

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

    Demand Modeler, Cambridge Systematics, Tallahassee, FL Abstract ... Travel demand ... Ahmed Mohideen Travel Demand Modeler Cambridge Systematics, Tallahassee, FL Transportation ...

  13. Commercial & Industrial Demand Response

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

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

  14. Tankless Demand Water Heater Basics | Department of Energy

    Energy Savers [EERE]

    Water Heating Tankless Demand Water Heater Basics Tankless Demand Water Heater Basics August 19, 2013 - 2:57pm Addthis Illustration of an electric demand water heater. At the ...

  15. ELECTRIC

    Office of Legacy Management (LM)

    you nay give us will be greatly uppreckted. VPry truly your23, 9. IX. Sin0j3, Mtinager lclectronics and Nuclear Physics Dept. omh , WESTINGHOUSE-THE NAT KING IN ELECTRICITY

  16. Impact of total ionizing dose irradiation on electrical property of ferroelectric-gate field-effect transistor

    SciTech Connect (OSTI)

    Yan, S. A.; Tang, M. H. Xiao, Y. G.; Zhang, W. L.; Ding, H.; Chen, J. W.; Zhou, Y. C.; Xiong, Y.; Li, Z.; Zhao, W.; Guo, H. X.

    2014-05-28

    P-type channel metal-ferroelectric-insulator-silicon field-effect transistors (FETs) with a 300?nm thick SrBi{sub 2}Ta{sub 2}O{sub 9} ferroelectric film and a 10?nm thick HfTaO layer on silicon substrate were fabricated and characterized. The prepared FeFETs were then subjected to {sup 60}Co gamma irradiation in steps of three dose levels. Irradiation-induced degradation on electrical characteristics of the fabricated FeFETs was observed after 1 week annealing at room temperature. The possible irradiation-induced degradation mechanisms were discussed and simulated. All the irradiation experiment results indicated that the stability and reliability of the fabricated FeFETs for nonvolatile memory applications will become uncontrollable under strong irradiation dose and/or long irradiation time.

  17. The alchemy of demand response: turning demand into supply

    SciTech Connect (OSTI)

    Rochlin, Cliff

    2009-11-15

    Paying customers to refrain from purchasing products they want seems to run counter to the normal operation of markets. Demand response should be interpreted not as a supply-side resource but as a secondary market that attempts to correct the misallocation of electricity among electric users caused by regulated average rate tariffs. In a world with costless metering, the DR solution results in inefficiency as measured by deadweight losses. (author)

  18. Total energy cycle assessment of electric and conventional vehicles: an energy and environmental analysis. Volume 2: appendices A-D to technical report

    SciTech Connect (OSTI)

    1998-01-01

    This report compares the energy use, oil use and emissions of electric vehicles (EVs) with those of conventional, gasoline- powered vehicles (CVs) over the total life cycle of the vehicles. The various stages included in the vehicles` life cycles include vehicle manufacture, fuel production, and vehicle operation. Disposal is not included. An inventory of the air emissions associated with each stage of the life cycle is estimated. Water pollutants and solid wastes are reported for individual processes, but no comprehensive inventory is developed. Volume II contains additional details on the vehicle, utility, and materials analyses and discusses several details of the methodology.

  19. Total energy cycle assessment of electric and conventional vehicles: an energy and environmental analysis. Volume 4: peer review comments on technical report

    SciTech Connect (OSTI)

    1998-01-01

    This report compares the energy use, oil use and emissions of electric vehicles (EVs) with those of conventional, gasoline-powered vehicles (CVs) over the total life cycle of the vehicles. The various stages included in the vehicles` life cycles include vehicle manufacture, fuel production, and vehicle operation. Disposal is not included. An inventory of the air emissions associated with each stage of the life cycle is estimated. Water pollutants and solid wastes are reported for individual processes, but no comprehensive inventory is developed. Volume IV includes copies of all the external peer review comments on the report distributed for review in July 1997.

  20. Electricity Monthly Update

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

    Update November 28, 2012 Map of Electric System Selected for Daily Peak Demand was replaced with the correct map showing Selected Wholesale Electricity and Natural Gas Locations....

  1. Addressing Energy Demand through Demand Response. International Experiences and Practices

    SciTech Connect (OSTI)

    Shen, Bo; Ghatikar, Girish; Ni, Chun Chun; Dudley, Junqiao; Martin, Phil; Wikler, Greg

    2012-06-01

    Demand response (DR) is a load management tool which provides a cost-effective alternative to traditional supply-side solutions to address the growing demand during times of peak electrical load. According to the US Department of Energy (DOE), demand response reflects ‚Äúchanges in electric usage by end-use customers from their normal consumption patterns in response to changes in the price of electricity over time, or to incentive payments designed to induce lower electricity use at times of high wholesale market prices or when system reliability is jeopardized.‚ÄĚ 1 The California Energy Commission (CEC) defines DR as ‚Äúa reduction in customers‚Äô electricity consumption over a given time interval relative to what would otherwise occur in response to a price signal, other financial incentives, or a reliability signal.‚ÄĚ 2 This latter definition is perhaps most reflective of how DR is understood and implemented today in countries such as the US, Canada, and Australia where DR is primarily a dispatchable resource responding to signals from utilities, grid operators, and/or load aggregators (or DR providers).

  2. A Full Demand Response Model in Co-Optimized Energy and

    SciTech Connect (OSTI)

    Liu, Guodong; Tomsovic, Kevin

    2014-01-01

    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.

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

    Energy Savers [EERE]

    the Electric Power Sector | Department of Energy Natural Gas Infrastructure Implications of Increased Demand from the Electric Power Sector Report: Natural Gas Infrastructure Implications of Increased Demand from the Electric Power Sector This report examines the potential infrastructure needs of the U.S. interstate natural gas pipeline transmission system across a range of future natural gas demand scenarios that drive increased electric power sector natural gas use. To perform this

  4. ELECTRIC

    Office of Legacy Management (LM)

    ELECTRIC cdrtrokArJclaeT 3 I+ &i, y$ \I &OF I*- j< t j,fci..- ir )(yiT !E-li, ( \-,v? Cl -p/4.4 RESEARCH LABORATORIES EAST PITTSBURGH, PA. 8ay 22, 1947 Mr. J. Carrel Vrilson General ?!!mager Atomic Qxzgy Commission 1901 Constitution Avenue Kashington, D. C. Dear Sir: In the course of OUT nuclenr research we are planning to study the enc:ri;y threshold anti cross section for fission. For thib program we require a s<>piAroted sample of metallic Uranium 258 of high purity. A

  5. Home Network Technologies and Automating Demand Response

    SciTech Connect (OSTI)

    McParland, Charles

    2009-12-01

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

  6. Demand Response and Energy Storage Integration Study

    Broader source: Energy.gov [DOE]

    This study is a multi-national laboratory effort to assess the potential value of demand response and energy storage to electricity systems with different penetration levels of variable renewable...

  7. Renewable Electricity Futures for the United States

    SciTech Connect (OSTI)

    Mai, Trieu; Hand, Maureen; Baldwin, Sam F.; Wiser , Ryan; Brinkman, G.; Denholm, Paul; Arent, Doug; Porro, Gian; Sandor, Debra; Hostick, Donna J.; Milligan, Michael; DeMeo, Ed; Bazilian, Morgan

    2014-04-14

    This paper highlights the key results from the Renewable Electricity (RE) Futures Study. It is a detailed consideration of renewable electricity in the United States. The paper focuses on technical issues related to the operability of the U. S. electricity grid and provides initial answers to important questions about the integration of high penetrations of renewable electricity technologies from a national perspective. The results indicate that the future U. S. electricity system that is largely powered by renewable sources is possible and the further work is warranted to investigate this clean generation pathway. The central conclusion of the analysis is that renewable electricity generation from technologies that are commercially available today, in combination with a more flexible electric system, is more than adequate to supply 80% of the total U. S. electricity generation in 2050 while meeting electricity demand on an hourly basis in every region of the United States.

  8. Demand Dispatch-Intelligent

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

    of Electricity Delivery and Energy Reliability Prepared by: National Energy Technology ... Management Systems ERCOT Electric Reliability Council of Texas EV Electric Vehicle ...

  9. Table 8.4a Consumption for Electricity Generation by Energy Source: Total (All Sectors), 1949-2011 (Sum of Tables 8.4b and 8.4c; Billion Btu)

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

    a Consumption for Electricity Generation by Energy Source: Total (All Sectors), 1949-2011 (Sum of Tables 8.4b and 8.4c; Billion Btu) Year Fossil Fuels Nuclear Electric Power 5 Renewable Energy Other 9 Electricity Net Imports 10 Total Coal 1 Petroleum 2 Natural Gas 3 Other Gases 4 Total Conventional Hydroelectric Power 5 Biomass Geo- thermal 5 Solar/PV 5,8 Wind 5 Total Wood 6 Waste 7 1949 1,995,055 414,632 569,375 NA 2,979,062 0 1,424,722 5,803 NA NA NA NA 1,430,525 NA 5,420 4,415,007 1950

  10. Cross-sector Demand Response

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

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

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

    SciTech Connect (OSTI)

    Neubauer, J.; Simpson, M.

    2013-10-01

    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.

  12. Reducing Peak Demand to Defer Power Plant Construction in Oklahoma

    Office of Environmental Management (EM)

    To better control costs and manage electric reliability under these conditions, OG&E is pursuing demand response strategies made possible by implementation of smart grid ...

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

    SciTech Connect (OSTI)

    2009-01-18

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

  14. Demand Response - Policy: More Information | Department of Energy

    Energy Savers [EERE]

    Demand Response - Policy: More Information Demand Response - Policy: More Information OE's commitment to ensuring non-wires options to modernize the nation's electricity delivery system includes ongoing support of a number of national and regional activities in support of demand response. The New England Demand Response Initiative (NEDRI), OE's initial endeavor to assist states with non-wire solutions, was created to develop a comprehensive, coordinated set of demand response programs for the

  15. " Row: NAICS Codes; Column: Electricity...

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

    1. Electricity: Components of Net Demand, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," ...

  16. Table 11.5a Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Total (All Sectors), 1989-2010 (Sum of Tables 11.5b and 11.5c; Metric Tons of Gas)

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

    a Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Total (All Sectors), 1989-2010 (Sum of Tables 11.5b and 11.5c; Metric Tons of Gas) Year Carbon Dioxide 1 Sulfur Dioxide Nitrogen Oxides Coal 2 Natural Gas 3 Petroleum 4 Geo- thermal 5 Non- Biomass Waste 6 Total Coal 2 Natural Gas 3 Petroleum 4 Other 7 Total Coal 2 Natural Gas 3 Petroleum 4 Other 7 Total 1989 1,573,566,415 218,383,703 145,398,976 363,247 5,590,014 1,943,302,355 14,468,564 1,059 984,406

  17. Demand Response Analysis Tool

    Energy Science and Technology Software Center (OSTI)

    2012-03-01

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

  18. Demand Response Analysis Tool

    SciTech Connect (OSTI)

    2012-03-01

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

  19. Coordination of Energy Efficiency and Demand Response

    SciTech Connect (OSTI)

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

    2010-01-29

    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.

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

    Gasoline and Diesel Fuel Update (EIA)

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

  1. Florida's electric industry and solar electric technologies

    SciTech Connect (OSTI)

    Camejo, N.

    1983-12-01

    The Florida Electric Industry is in a process of diversifying its generation technology and its fuel mix. This is being done in an effort to reduce oil consumption, which in 1981 accounted for 46.5% of the electric generation by fuel type. This does not compare well with the rest of the nation where oil use is lower. New coal and nuclear units are coming on line, and probably more will be built in the near future. However, eventhough conservation efforts may delay their construction, new power plants will have to be built to accomodate the growing demand for electricity. Other alternatives being considered are renewable energy resources. The purpose of this paper is to present the results of a research project in which 10 electric utilities in Florida and the Florida Electric Power Coordinating Group rated six Solar Electric options. The Solar Electric options considered are: 1) Wind, 2) P.V., 3) Solar thermal-electric, 4) OTEC, 5) Ocean current, and 6) Biomass. The questionaire involved rating the economic and technical feasibility, as well as, the potential environmental impact of these options in Florida. It also involved rating the difficulty in overcoming institutional barriers and assessing the status of each option. A copy of the questionaire is included after the references. The combined capacity of the participating utilities represent over 90% of the total generating capacity in Florida. A list of the participating utilities is also included. This research was done in partial fulfillment for the Mater's of Science Degree in Coastal Zone Management. This paper is complementary to another paper (in these condensed conference proceedings) titled COASTAL ZONE ENERGY MANAGEMENT: A multidisciplinary approach for the integration of Solar Electric Systems with Florida's power generation system, which present a summary of the Master's thesis.

  2. Providing Reliability Services through Demand Response: A Prelimnary Evaluation of the Demand Response Capabilities of Alcoa Inc.

    SciTech Connect (OSTI)

    Starke, Michael R; Kirby, Brendan J; Kueck, John D; Todd, Duane; Caulfield, Michael; Helms, Brian

    2009-02-01

    Demand response is the largest underutilized reliability resource in North America. Historic demand response programs have focused on reducing overall electricity consumption (increasing efficiency) and shaving peaks but have not typically been used for immediate reliability response. Many of these programs have been successful but demand response remains a limited resource. The Federal Energy Regulatory Commission (FERC) report, 'Assessment of Demand Response and Advanced Metering' (FERC 2006) found that only five percent of customers are on some form of demand response program. Collectively they represent an estimated 37,000 MW of response potential. These programs reduce overall energy consumption, lower green house gas emissions by allowing fossil fuel generators to operate at increased efficiency and reduce stress on the power system during periods of peak loading. As the country continues to restructure energy markets with sophisticated marginal cost models that attempt to minimize total energy costs, the ability of demand response to create meaningful shifts in the supply and demand equations is critical to creating a sustainable and balanced economic response to energy issues. Restructured energy market prices are set by the cost of the next incremental unit of energy, so that as additional generation is brought into the market, the cost for the entire market increases. The benefit of demand response is that it reduces overall demand and shifts the entire market to a lower pricing level. This can be very effective in mitigating price volatility or scarcity pricing as the power system responds to changing demand schedules, loss of large generators, or loss of transmission. As a global producer of alumina, primary aluminum, and fabricated aluminum products, Alcoa Inc., has the capability to provide demand response services through its manufacturing facilities and uniquely through its aluminum smelting facilities. For a typical aluminum smelter, electric power accounts for 30% to 40% of the factory cost of producing primary aluminum. In the continental United States, Alcoa Inc. currently owns and/or operates ten aluminum smelters and many associated fabricating facilities with a combined average load of over 2,600 MW. This presents Alcoa Inc. with a significant opportunity to respond in areas where economic opportunities exist to help mitigate rising energy costs by supplying demand response services into the energy system. This report is organized into seven chapters. The first chapter is the introduction and discusses the intention of this report. The second chapter contains the background. In this chapter, topics include: the motivation for Alcoa to provide demand response; ancillary service definitions; the basics behind aluminum smelting; and a discussion of suggested ancillary services that would be particularly useful for Alcoa to supply. Chapter 3 is concerned with the independent system operator, the Midwest ISO. Here the discussion examines the evolving Midwest ISO market structure including specific definitions, requirements, and necessary components to provide ancillary services. This section is followed by information concerning the Midwest ISO's classifications of demand response parties. Chapter 4 investigates the available opportunities at Alcoa's Warrick facility. Chapter 5 involves an in-depth discussion of the regulation service that Alcoa's Warrick facility can provide and the current interactions with Midwest ISO. Chapter 6 reviews future plans and expectations for Alcoa providing ancillary services into the market. Last, chapter 7, details the conclusion and recommendations of this paper.

  3. DOE Electricity Advisory Committee

    Energy Savers [EERE]

    ... In larger buildings they can be Energy Management Systems operating end- uses, electrical and thermal storage and guiding participation in Demand Response programs. 2 Distributed ...

  4. 2013 Electricity Form Proposals

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

    Form EIA-861, "Annual Electric Power Industry Report" The EIA-861 survey has historically collected retail sales, revenue, and a variety of information related to demand response ...

  5. Measuring the capacity impacts of demand response

    SciTech Connect (OSTI)

    Earle, Robert; Kahn, Edward P.; Macan, Edo

    2009-07-15

    Critical peak pricing and peak time rebate programs offer benefits by increasing system reliability, and therefore, reducing capacity needs of the electric power system. These benefits, however, decrease substantially as the size of the programs grows relative to the system size. More flexible schemes for deployment of demand response can help address the decreasing returns to scale in capacity value, but more flexible demand response has decreasing returns to scale as well. (author)

  6. Residential Demand Response

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

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

  7. Managing Increased Charging Demand

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

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

  8. Managing Increased Charging Demand

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

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

  9. Using Utility Load Data to Estimate Demand for Space Cooling and Potential for Shiftable Loads

    SciTech Connect (OSTI)

    Denholm, P.; Ong, S.; Booten, C.

    2012-05-01

    This paper describes a simple method to estimate hourly cooling demand from historical utility load data. It compares total hourly demand to demand on cool days and compares these estimates of total cooling demand to previous regional and national estimates. Load profiles generated from this method may be used to estimate the potential for aggregated demand response or load shifting via cold storage.

  10. Demand Response National Trends: Implications for the West? | Department of

    Energy Savers [EERE]

    Energy National Trends: Implications for the West? Demand Response National Trends: Implications for the West? Committee on Regional Electric Power Cooperation. San Francisco, CA. March 25, 2004 PDF icon Demand Response National Trends: Implications for the West? More Documents & Publications Demand Response in U.S. Electricity Markets: Empirical Evidence Technical Assistance to ISO's and Grid Operators For Loads Providing Ancillary Services To Enhance Grid Reliability Transmission

  11. Electric Efficiency Standard

    Broader source: Energy.gov [DOE]

    In December 2009, the Indiana Utility Regulatory Commission's (IURC) ordered utilities to establish demand-side management (DSM) electric savings goals leading to 2.0% reduction of electricity sa...

  12. Reducing Peak Demand to Defer Power Plant Construction in Oklahoma

    Energy Savers [EERE]

    Reducing Peak Demand to Defer Power Plant Construction in Oklahoma Located in the heart of "Tornado Alley," Oklahoma Gas & Electric Company's (OG&E) electric grid faces significant challenges from severe weather, hot summers, and about 2% annual load growth. To better control costs and manage electric reliability under these conditions, OG&E is pursuing demand response strategies made possible by implementation of smart grid technologies, tools, and techniques from

  13. ELECTRICAL LOAD ANTICIPATOR AND RECORDER

    DOE Patents [OSTI]

    Russell, J.B.; Thomas, R.J.

    1961-07-25

    A system is descrbied in which an indication of the prevailing energy consumption in an electrical power metering system and a projected Power demand for one demand interval is provided at selected increments of time withm the demand interval. Each watthour meter in the system is provided with an impulse generator that generates two impulses for each revolution of the meter disc. The total pulses received frorn all the meters are continuously totaled and are fed to a plurality of parallel connected gated counters. Each counter has its gate opened at different sub-time intervals during the demand interval. A multiplier is connected to each of the gated counters except the last one and each multiplier is provided with a different multiplier constant so as to provide an estimate of the power to be drawn over the entire demand interval at the end of each of the different sub-time intervals. Means are provided for recording the ontputs from the different circuits in synchronism with the actuation oi each gate circuit.

  14. Compare All CBECS Activities: Electricity Use

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

    Electricity Use Compare Activities by ... Electricity Use Total Electricity Consumption by Building Type Commercial buildings in the U.S. used a total of approximately 908 billion...

  15. Demand for superpremium needle cokes on upswing

    SciTech Connect (OSTI)

    Acciarri, J.A.; Stockman, G.H. )

    1989-12-01

    The authors discuss how recent supply shortages of super-premium quality needle cokes, plus the expectation of increased shortfalls in the future, indicate that refiners should consider upgrading their operations to fill these demands. Calcined, super-premium needle cokes are currently selling for as much as $550/metric ton, fob producer, and increasing demand will continue the upward push of the past year. Needle coke, in its calcined form, is the major raw material in the manufacture of graphite electrodes. Used in steelmaking, graphite electrodes are the electrical conductors that supply the heat source, through arcing electrode column tips, to electric arc steel furnaces. Needle coke is commercially available in three grades - super premium, premium, and intermediate. Super premium is used to produce electrodes for the most severe electric arc furnace steelmaking applications, premium for electrodes destined to less severe operations, and intermediate for even less critical needs.

  16. Demand Charges | Open Energy Information

    Open Energy Info (EERE)

    Demand Charges Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleDemandCharges&oldid488967" Feedback Contact needs updating Image needs...

  17. Demand response medium sized industry consumers (Smart Grid Project...

    Open Energy Info (EERE)

    demand and regulation power in Danish Industry consumers via a price and control signal from the supplier of electricity. The aim is to develop a valuable solution for the...

  18. Chapter 3: Demand-Side Resources | Department of Energy

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

    According to one source, U.S. electric utilities spent 14.7 billion on DSM programs between 1989 and 1999, an average of 1.3 billion per year. PDF icon Chapter 3: Demand-Side ...

  19. Interoperability of Demand Response Resources Demonstration in NY

    SciTech Connect (OSTI)

    Wellington, Andre

    2014-03-31

    The Interoperability of Demand Response Resources Demonstration in NY (Interoperability Project) was awarded to Con Edison in 2009. The objective of the project was to develop and demonstrate methodologies to enhance the ability of customer sited Demand Response resources to integrate more effectively with electric delivery companies and regional transmission organizations.

  20. Country Total

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

    Country Total Percent of U.S. total China 1,461,074 34 Republic of Korea 172,379 4 Taiwan 688,311 16 All others 1,966,263 46 Total 4,288,027 100 Note: All Others includes Canada, Czech Republic, Federal Republic of Germany, Malaysia, Mexico, Philippines and Singapore Source: U.S. Energy Information Administration, Form EIA-63B, 'Annual Photovoltaic Cell/Module Shipments Report.' Table 7 . Photovoltaic module import shipments by country, 2013 (peak kilowatts)

  1. "Table A28. Total Expenditures for Purchased Energy Sources...

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

    Total Expenditures for Purchased Energy Sources by Census Region" " and Economic ... "," ","Coke"," ","Row" "Economic Characteristics(a)","Total","Electricity...

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

    SciTech Connect (OSTI)

    Slingerland, S.

    1998-07-01

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

  3. Measurement and evaluation techniques for automated demand response demonstration

    SciTech Connect (OSTI)

    Motegi, Naoya; Piette, Mary Ann; Watson, David S.; Sezgen, Osman; ten Hope, Laurie

    2004-08-01

    The recent electricity crisis in California and elsewhere has prompted new research to evaluate demand response strategies in large facilities. This paper describes an evaluation of fully automated demand response technologies (Auto-DR) in five large facilities. Auto-DR does not involve human intervention, but is initiated at a facility through receipt of an external communications signal. This paper summarizes the measurement and evaluation of the performance of demand response technologies and strategies in five large facilities. All the sites have data trending systems such as energy management and control systems (EMCS) and/or energy information systems (EIS). Additional sub-metering was applied where necessary to evaluate the facility's demand response performance. This paper reviews the control responses during the test period, and analyzes demand savings achieved at each site. Occupant comfort issues are investigated where data are available. This paper discusses methods to estimate demand savings and results from demand response strategies at five large facilities.

  4. The Demand Reduction Potential of Smart Appliances in U.S. Homes

    SciTech Connect (OSTI)

    Makhmalbaf, Atefe; Srivastava, Viraj; Parker, Graham B.

    2013-08-14

    The widespread deployment of demand respond (DR) enabled home appliances is expected to have significant reduction in the demand of electricity during peak hours. The work documented in this paper focuses on estimating the energy shift resulting from the installation of DR enabled smart appliances in the U.S. This estimation is based on analyzing the market for smart appliances and calculating the total energy demand that can potentially be shifted by DR control in appliances. Appliance operation is examined by considering their sub components individually to identify their energy consumptions and savings resulting from interrupting and shifting their load, e.g., by delaying the refrigerator defrost cycle. In addition to major residential appliances, residential pool pumps are also included in this study given their energy consumption profiles that make them favorable for DR applications. In the market analysis study documented in this paper, the U.S. Energy Information Administration's (EIA) Residential Energy Consumption Survey (RECS) and National Association of Home Builders (NAHB) databases are used to examine the expected life of an appliance, the number of appliances installed in homes constructed in 10 year intervals after 1940 and home owner income. Conclusions about the effectiveness of the smart appliances in reducing electrical demand have been drawn and a ranking of appliances in terms of their contribution to load shift is presented. E.g., it was concluded that DR enabled water heaters result in the maximum load shift; whereas, dishwashers have the highest user elasticity and hence the highest potential for load shifting through DR. This work is part of a larger effort to bring novel home energy management concepts and technologies to reduce energy consumption, reduce peak electricity demand, integrate renewables and storage technology, and change homeowner behavior to manage and consume less energy and potentially save consumer energy costs.

  5. Retail Demand Response in Southwest Power Pool

    Energy Savers [EERE]

    LBNL-1470E Retail Demand Response in Southwest Power Pool Ranjit Bharvirkar, Grayson Heffner and Charles Goldman Lawrence Berkeley National Laboratory Environmental Energy Technologies Division January 2009 The work described in this report was funded by the Office of Electricity Delivery and Energy Reliability, Permitting, Siting and Analysis of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY Disclaimer This document was

  6. Demand response compensation, net Benefits and cost allocation: comments

    SciTech Connect (OSTI)

    Hogan, William W.

    2010-11-15

    FERC's Supplemental Notice of Public Rulemaking addresses the question of proper compensation for demand response in organized wholesale electricity markets. Assuming that the Commission would proceed with the proposal ''to require tariff provisions allowing demand response resources to participate in wholesale energy markets by reducing consumption of electricity from expected levels in response to price signals, to pay those demand response resources, in all hours, the market price of energy for such reductions,'' the Commission posed questions about applying a net benefits test and rules for cost allocation. This article summarizes critical points and poses implications for the issues of net benefit tests and cost allocation. (author)

  7. Ethanol Demand in United States Gasoline Production

    SciTech Connect (OSTI)

    Hadder, G.R.

    1998-11-24

    The Oak Ridge National Laboratory (OWL) Refinery Yield Model (RYM) has been used to estimate the demand for ethanol in U.S. gasoline production in year 2010. Study cases examine ethanol demand with variations in world oil price, cost of competing oxygenate, ethanol value, and gasoline specifications. For combined-regions outside California summer ethanol demand is dominated by conventional gasoline (CG) because the premised share of reformulated gasoline (RFG) production is relatively low and because CG offers greater flexibility for blending high vapor pressure components like ethanol. Vapor pressure advantages disappear for winter CG, but total ethanol used in winter RFG remains low because of the low RFG production share. In California, relatively less ethanol is used in CG because the RFG production share is very high. During the winter in California, there is a significant increase in use of ethanol in RFG, as ethanol displaces lower-vapor-pressure ethers. Estimated U.S. ethanol demand is a function of the refiner value of ethanol. For example, ethanol demand for reference conditions in year 2010 is 2 billion gallons per year (BGY) at a refiner value of $1.00 per gallon (1996 dollars), and 9 BGY at a refiner value of $0.60 per gallon. Ethanol demand could be increased with higher oil prices, or by changes in gasoline specifications for oxygen content, sulfur content, emissions of volatile organic compounds (VOCS), and octane numbers.

  8. Refrigerated Warehouse Demand Response Strategy Guide

    SciTech Connect (OSTI)

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

    2015-11-01

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

  9. Electric Power annual 1996: Volume II

    SciTech Connect (OSTI)

    1997-12-01

    This document presents a summary of electric power industry statistics. Data are included on electric utility retail sales of electricity, revenues, environmental information, power transactions, emissions, and demand-side management.

  10. Demand Response Quick Assessment Tool

    Energy Science and Technology Software Center (OSTI)

    2008-12-01

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

  11. Climate policy implications for agricultural water demand

    SciTech Connect (OSTI)

    Chaturvedi, Vaibhav; Hejazi, Mohamad I.; Edmonds, James A.; Clarke, Leon E.; Kyle, G. Page; Davies, Evan; Wise, Marshall A.; Calvin, Katherine V.

    2013-03-28

    Energy, water and land are scarce resources, critical to humans. Developments in each affect the availability and cost of the others, and consequently human prosperity. Measures to limit greenhouse gas concentrations will inevitably exact dramatic changes on energy and land systems and in turn alter the character, magnitude and geographic distribution of human claims on water resources. We employ the Global Change Assessment Model (GCAM), an integrated assessment model to explore the interactions of energy, land and water systems in the context of alternative policies to limit climate change to three alternative levels: 2.5 Wm-2 (445 ppm CO2-e), 3.5 Wm-2 (535 ppm CO2-e) and 4.5 Wm-2 (645 ppm CO2-e). We explore the effects of two alternative land-use emissions mitigation policy options‚ÄĒone which taxes terrestrial carbon emissions equally with fossil fuel and industrial emissions, and an alternative which only taxes fossil fuel and industrial emissions but places no penalty on land-use change emissions. We find that increasing populations and economic growth could be anticipated to almost triple demand for water for agricultural systems across the century even in the absence of climate policy. In general policies to mitigate climate change increase agricultural demands for water still further, though the largest changes occur in the second half of the century, under both policy regimes. The two policies examined profoundly affected both the sources and magnitudes of the increase in irrigation water demands. The largest increases in agricultural irrigation water demand occurred in scenarios where only fossil fuel emissions were priced (but not land-use change emission) and were primarily driven by rapid expansion in bioenergy production. In these scenarios water demands were large relative to present-day total available water, calling into question whether it would be physically possible to produce the associated biomass energy. We explored the potential of improved water delivery and irrigation system efficiencies. These could potentially reduce demands substantially. However, overall demands remained high under our fossil-fuel-only tax policy. In contrast, when all carbon was priced, increases in agricultural water demands were smaller than under the fossil-fuel-only policy and were driven primarily by increased demands for water by non-biomass crops such as rice. Finally we estimate the geospatial pattern of water demands and find that regions such as China, India and other countries in south and east Asia might be expected to experience greatest increases in water demands.‚ÄÉ

  12. Opportunities for Automated Demand Response in California Wastewater Treatment Facilities

    SciTech Connect (OSTI)

    Aghajanzadeh, Arian; Wray, Craig; McKane, Aimee

    2015-08-30

    Previous research over a period of six years has identified wastewater treatment facilities as good candidates for demand response (DR), automated demand response (Auto-­DR), and Energy Efficiency (EE) measures. This report summarizes that work, including the characteristics of wastewater treatment facilities, the nature of the wastewater stream, energy used and demand, as well as details of the wastewater treatment process. It also discusses control systems and automated demand response opportunities. Furthermore, this report summarizes the DR potential of three wastewater treatment facilities. In particular, Lawrence Berkeley National Laboratory (LBNL) has collected data at these facilities from control systems, submetered process equipment, utility electricity demand records, and governmental weather stations. The collected data were then used to generate a summary of wastewater power demand, factors affecting that demand, and demand response capabilities. These case studies show that facilities that have implemented energy efficiency measures and that have centralized control systems are well suited to shed or shift electrical loads in response to financial incentives, utility bill savings, and/or opportunities to enhance reliability of service. In summary, municipal wastewater treatment energy demand in California is large, and energy-­intensive equipment offers significant potential for automated demand response. In particular, large load reductions were achieved by targeting effluent pumps and centrifuges. One of the limiting factors to implementing demand response is the reaction of effluent turbidity to reduced aeration at an earlier stage of the process. Another limiting factor is that cogeneration capabilities of municipal facilities, including existing power purchase agreements and utility receptiveness to purchasing electricity from cogeneration facilities, limit a facility’s potential to participate in other DR activities.

  13. Electric Power Annual 2010

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

    A. Summer Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Corporation Region, 1999 through 2010" ,"(Megawatts and Percent)" ,"Interconnection","NERC Regional Assesment Area","Net Internal Demand (MW)[1] -- Summer" ,,,"Actual",,,,,,,,,,,,,,,,,,,,,"Projected"

  14. State Total

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

    State Total Percent of U.S. total Alabama 1,652 0.0 Alaska 152 0.0 Arizona 912,975 19.9 Arkansas 2,724 0.1 California 2,239,983 48.8 Colorado 49,903 1.1 Connecticut 33,627 0.7 Delaware 3,080 0.1 District of Columbia 1,746 0.0 Florida 22,061 0.5 Georgia 99,713 2.2 Guam 39 0.0 Hawaii 126,595 2.8 Idaho 1,423 0.0 Illinois 8,176 0.2 Indiana 12,912 0.3 Iowa 4,480 0.1 Kansas 523 0.0 Kentucky 2,356 0.1 Louisiana 27,704 0.6 Maine 993 0.0 Maryland 30,528 0.7 Massachusetts 143,539 3.1 Michigan 3,416 0.1

  15. Roles of electricity: Electric steelmaking

    SciTech Connect (OSTI)

    Burwell, C.C.

    1986-07-01

    Electric steel production from scrap metal continues to grow both in total quantity and in market share. The economics of electric-steel production in general, and of electric minimills in particular, seem clearly established. The trend towards electric steelmaking provides significant economic and competitive advantages for producers and important overall economic, environmental, and energy advantages for the United States at large. Conversion to electric steelmaking offers up to a 4-to-1 advantage in terms of the overall energy used to produce a ton of steel, and s similar savings in energy cost for the producer. The amount of old scrap used to produce a ton of steel has doubled since 1967 because of the use of electric furnaces.

  16. Open Automated Demand Response Communications Specification (Version 1.0)

    SciTech Connect (OSTI)

    Piette, Mary Ann; Ghatikar, Girish; Kiliccote, Sila; Koch, Ed; Hennage, Dan; Palensky, Peter; McParland, Charles

    2009-02-28

    The development of the Open Automated Demand Response Communications Specification, also known as OpenADR or Open Auto-DR, began in 2002 following the California electricity crisis. The work has been carried out by the Demand Response Research Center (DRRC), which is managed by Lawrence Berkeley National Laboratory. This specification describes an open standards-based communications data model designed to facilitate sending and receiving demand response price and reliability signals from a utility or Independent System Operator to electric customers. OpenADR is one element of the Smart Grid information and communications technologies that are being developed to improve optimization between electric supply and demand. The intention of the open automated demand response communications data model is to provide interoperable signals to building and industrial control systems that are preprogrammed to take action based on a demand response signal, enabling a demand response event to be fully automated, with no manual intervention. The OpenADR specification is a flexible infrastructure to facilitate common information exchange between the utility or Independent System Operator and end-use participants. The concept of an open specification is intended to allow anyone to implement the signaling systems, the automation server or the automation clients.

  17. Opportunities for Automated Demand Response in California Agricultural Irrigation

    SciTech Connect (OSTI)

    Olsen, Daniel; Aghajanzadeh, Arian; McKane, Aimee

    2015-08-01

    Pumping water for agricultural irrigation represents a significant share of California’s annual electricity use and peak demand. It also represents a large source of potential flexibility, as farms possess a form of storage in their wetted soil. By carefully modifying their irrigation schedules, growers can participate in demand response without adverse effects on their crops. This report describes the potential for participation in demand response and automated demand response by agricultural irrigators in California, as well as barriers to widespread participation. The report first describes the magnitude, timing, location, purpose, and manner of energy use in California. Typical on-­farm controls are discussed, as well as common impediments to participation in demand response and automated demand response programs. Case studies of demand response programs in California and across the country are reviewed, and their results along with overall California demand estimates are used to estimate statewide demand response potential. Finally, recommendations are made for future research that can enhance the understanding of demand response potential in this industry.

  18. Model Documentation Report: Industrial Demand Module of the National...

    Gasoline and Diesel Fuel Update (EIA)

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

  19. Energy technologies and their impact on demand

    SciTech Connect (OSTI)

    Drucker, H.

    1995-06-01

    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.

  20. Demand Response Programs, 6. edition

    SciTech Connect (OSTI)

    2007-10-15

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

  1. Drivers for the Value of Demand Response under Increased Levels of Wind and Solar Power; NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    Hale, Elaine

    2015-07-30

    Demand response may be a valuable flexible resource for low-carbon electric power grids. However, there are as many types of possible demand response as there are ways to use electricity, making demand response difficult to study at scale in realistic settings. This talk reviews our state of knowledge regarding the potential value of demand response in several example systems as a function of increasing levels of wind and solar power, sometimes drawing on the analogy between demand response and storage. Overall, we find demand response to be promising, but its potential value is very system dependent. Furthermore, demand response, like storage, can easily saturate ancillary service markets.

  2. Electric Vehicle Deployment: Policy Questions and Impacts to...

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

    Advisory Committee on actions to be taken by the Department of Energy regarding policy questions and impacts to the electric grid from the energy demands of electric vehicles. ...

  3. Recovery Act: State Assistance for Recovery Act Related Electricity...

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

    efficiency, renewable energy, carbon capture and storage, transmission lines, energy storage, smart grid, demand response equipment, and electric and hybrid-electric vehicles. ...

  4. Demand Responsive Lighting: A Scoping Study

    SciTech Connect (OSTI)

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-03

    The objective of this scoping study is: (1) to identify current market drivers and technology trends that can improve the demand responsiveness of commercial building lighting systems and (2) to quantify the energy, demand and environmental benefits of implementing lighting demand response and energy-saving controls strategies Statewide. Lighting systems in California commercial buildings consume 30 GWh. Lighting systems in commercial buildings often waste energy and unnecessarily stress the electrical grid because lighting controls, especially dimming, are not widely used. But dimmable lighting equipment, especially the dimming ballast, costs more than non-dimming lighting and is expensive to retrofit into existing buildings because of the cost of adding control wiring. Advances in lighting industry capabilities coupled with the pervasiveness of the Internet and wireless technologies have led to new opportunities to realize significant energy saving and reliable demand reduction using intelligent lighting controls. Manufacturers are starting to produce electronic equipment--lighting-application specific controllers (LAS controllers)--that are wirelessly accessible and can control dimmable or multilevel lighting systems obeying different industry-accepted protocols. Some companies make controllers that are inexpensive to install in existing buildings and allow the power consumed by bi-level lighting circuits to be selectively reduced during demand response curtailments. By intelligently limiting the demand from bi-level lighting in California commercial buildings, the utilities would now have an enormous 1 GW demand shed capability at hand. By adding occupancy and light sensors to the remotely controllable lighting circuits, automatic controls could harvest an additional 1 BkWh/yr savings above and beyond the savings that have already been achieved. The lighting industry's adoption of DALI as the principal wired digital control protocol for dimming ballasts and increased awareness of the need to standardize on emerging wireless technologies are evidence of this transformation. In addition to increased standardization of digital control protocols controller capabilities, the lighting industry has improved the performance of dimming lighting systems over the last two years. The system efficacy of today's current dimming ballasts is approaching that of non-dimming program start ballasts. The study finds that the benefits of applying digital controls technologies to California's unique commercial buildings market are enormous. If California were to embark on an concerted 20 year program to improve the demand responsiveness and energy efficiency of commercial building lighting systems, the State could avoid adding generation capacity, improve the elasticity of the grid, save Californians billion of dollars in avoided energy charges and significantly reduce greenhouse gas emissions.

  5. China's Coal: Demand, Constraints, and Externalities

    SciTech Connect (OSTI)

    Aden, Nathaniel; Fridley, David; Zheng, Nina

    2009-07-01

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

  6. Million Cu. Feet Percent of National Total

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

    from Electric Power to Industrial for years 2002 through ... Totals may not add due to independent rounding. Prices are ... Annual Consumption per Consumer (thousand cubic feet) ...

  7. California Geothermal Power Plant to Help Meet High Lithium Demand |

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

    Department of Energy California Geothermal Power Plant to Help Meet High Lithium Demand California Geothermal Power Plant to Help Meet High Lithium Demand September 20, 2012 - 1:15pm Addthis Ever wonder how we get the materials for the advanced batteries that power our cell phones, laptops, and even some electric vehicles? The U.S. Department of Energy's Geothermal Technologies Program (GTP) is working with California's Simbol Materials to develop technologies that extract battery materials

  8. Demand Response Technology Roadmap A

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

    meetings and workshops convened to develop content for the Demand Response Technology Roadmap. The project team has developed this companion document in the interest of providing...

  9. Integration of Renewables Via Demand Management: Highly Dispatchable and Distributed Demand Response for the Integration of Distributed Generation

    SciTech Connect (OSTI)

    2012-02-11

    GENI Project: AutoGrid, in conjunction with Lawrence Berkeley National Laboratory and Columbia University, will design and demonstrate automated control software that helps manage real-time demand for energy across the electric grid. Known as the Demand Response Optimization and Management System - Real-Time (DROMS-RT), the software will enable personalized price signal to be sent to millions of customers in extremely short timeframesóincentivizing them to alter their electricity use in response to grid conditions. This will help grid operators better manage unpredictable demand and supply fluctuations in short time-scales ómaking the power generation process more efficient and cost effective for both suppliers and consumers. DROMS-RT is expected to provide a 90% reduction in the cost of operating demand response and dynamic pricing Projects in the U.S.

  10. Demand-Side Response from Industrial Loads

    SciTech Connect (OSTI)

    Starke, Michael R; Alkadi, Nasr E; Letto, Daryl; Johnson, Brandon; Dowling, Kevin; George, Raoule; Khan, Saqib

    2013-01-01

    Through a research study funded by the Department of Energy, Smart Grid solutions company ENBALA Power Networks along with the Oak Ridge National Laboratory (ORNL) have geospatially quantified the potential flexibility within industrial loads to leverage their inherent process storage to help support the management of the electricity grid. The study found that there is an excess of 12 GW of demand-side load flexibility available in a select list of top industrial facilities in the United States. Future studies will expand on this quantity of flexibility as more in-depth analysis of different industries is conducted and demonstrations are completed.

  11. DemandDirect | Open Energy Information

    Open Energy Info (EERE)

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

  12. Analysis of Residential Demand Response and Double-Auction Markets

    SciTech Connect (OSTI)

    Fuller, Jason C.; Schneider, Kevin P.; Chassin, David P.

    2011-10-10

    Demand response and dynamic pricing programs are expected to play increasing roles in the modern Smart Grid environment. While direct load control of end-use loads has existed for decades, price driven response programs are only beginning to be explored at the distribution level. These programs utilize a price signal as a means to control demand. Active markets allow customers to respond to fluctuations in wholesale electrical costs, but may not allow the utility to control demand. Transactive markets, utilizing distributed controllers and a centralized auction can be used to create an interactive system which can limit demand at key times on a distribution system, decreasing congestion. With the current proliferation of computing and communication resources, the ability now exists to create transactive demand response programs at the residential level. With the combination of automated bidding and response strategies coupled with education programs and customer response, emerging demand response programs have the ability to reduce utility demand and congestion in a more controlled manner. This paper will explore the effects of a residential double-auction market, utilizing transactive controllers, on the operation of an electric power distribution system.

  13. China, India demand cushions prices

    SciTech Connect (OSTI)

    Boyle, M.

    2006-11-15

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

  14. National Action Plan on Demand Response, June 2010 | Department of Energy

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

    Action Plan on Demand Response, June 2010 National Action Plan on Demand Response, June 2010 The Federal Energy Regulatory Commission (FERC) is required to develop the National Action Plan on Demand Response (National Action Plan) as outlined in section 529 of the Energy Independence and Security Act of 2007 (EISA), entitled "Electricity Sector Demand Response." This National Action Plan is designed to meet three objectives: Identify "requirements for technical assistance to

  15. Demand Response for Ancillary Services

    SciTech Connect (OSTI)

    Alkadi, Nasr E; Starke, Michael R

    2013-01-01

    Many demand response resources are technically capable of providing ancillary services. In some cases, they can provide superior response to generators, as the curtailment of load is typically much faster than ramping thermal and hydropower plants. Analysis and quantification of demand response resources providing ancillary services is necessary to understand the resources economic value and impact on the power system. Methodologies used to study grid integration of variable generation can be adapted to the study of demand response. In the present work, we describe and illustrate a methodology to construct detailed temporal and spatial representations of the demand response resource and to examine how to incorporate those resources into power system models. In addition, the paper outlines ways to evaluate barriers to implementation. We demonstrate how the combination of these three analyses can be used to translate the technical potential for demand response providing ancillary services into a realizable potential.

  16. Northeastern Summer Electricity Market Alert

    Reports and Publications (EIA)

    2013-01-01

    The National Weather Service declared an excessive-heat warning for much of the Mid-Atlantic and northeastern United States, including major electric markets covering Philadelphia, Boston, Washington, D.C., and New York City. This report highlights the wholesale electricity market activity occurring in response to the higher-than-normal electricity demand caused by the heat wave.

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

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

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

  18. Case Study - National Rural Electric Cooperative Association...

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

    ... the next five years," says Mark Stallons, President and CEO of Owen Electric Cooperative in Owenton, KY. "These upgrades should help delay those decisions by reducing demand." ...

  19. Energy Department - Electric Power Research Institute Cooperation...

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

    energy efficiency and promoting the widespread adoption of electric energy demand response programs in an effort to curtail energy use during peak periods. "Through ongoing ...

  20. Demand Response for Ancillary Services

    Broader source: Energy.gov [DOE]

    Methodologies used to study grid integration of variable generation can be adapted to the study of demand response. In the present work, we describe and implement a methodology to construct detailed temporal and spatial representations of demand response resources and to incorporate those resources into power system models. In addition, the paper outlines ways to evaluate barriers to implementation. We demonstrate how the combination of these three analyses can be used to assess economic value of the realizable potential of demand response for ancillary services.

  1. Dramatic Demand Reduction In The Desert Southwest

    SciTech Connect (OSTI)

    Boehm, Robert; Hsieh, Sean; Lee, Joon; Baghzouz, Yahia; Cross, Andrew; Chatterjee, Sarah

    2015-07-06

    This report summarizes a project that was funded to the University of Nevada Las Vegas (UNLV), with subcontractors Pulte Homes and NV Energy. The project was motivated by the fact that locations in the Desert Southwest portion of the US demonstrate very high peak electrical demands, typically in the late afternoons in the summer. These high demands often require high priced power to supply the needs, and the large loads can cause grid supply problems. An approach was proposed through this contact that would reduce the peak electrical demands to an anticipated 65% of what code-built houses of the similar size would have. It was proposed to achieve energy reduction through four approaches applied to a development of 185 homes in northwest part of Las Vegas named Villa Trieste. First, the homes would all be highly energy efficient. Secondly, each house would have a PV array installed on it. Third, an advanced demand response technique would be developed to allow the resident to have some control over the energy used. Finally, some type of battery storage would be used in the project. Pulte Homes designed the houses. The company considered initial cost vs. long-term savings and chose options that had relatively short paybacks. HERS (Home Energy Rating Service) ratings for the homes are approximately 43 on this scale. On this scale, code-built homes rate at 100, zero energy homes rate a 0, and Energy Star homes are 85. In addition a 1.764 Wp (peak Watt) rated PV array was used on each house. This was made up of solar shakes that were in visual harmony with the roofing material used. A demand response tool was developed to control the amount of electricity used during times of peak demand. While demand response techniques have been used in the utility industry for some time, this particular approach is designed to allow the customer to decide the degree of participation in the response activity. The temperature change in the residence can be decided by the residents by adjusting settings. In a sense the customer can choose between greater comfort and greater money savings during demand response circumstances. Finally a battery application was to be considered. Initially it was thought that a large battery (probably a sodium-sulfur type) would be installed. However, after the contract was awarded, it was determined that a single, centrally-located battery system would not be appropriate for many reasons, including that with the build out plan there would not be any location to put it. The price had risen substantially since the budget for the project was put together. Also, that type of battery has to be kept hot all the time, but its use was only sought for summer operation. Hence, individual house batteries would be used, and these are discussed at the end of this report. Many aspects of the energy use for climate control in selected houses were monitored before residents moved in. This was done both to understand the magnitude of the energy flows but also to have data that could be compared to the computer simulations. The latter would be used to evaluate various aspects of our plan. It was found that good agreement existed between actual energy use and computed energy use. Hence, various studies were performed via simulations. Performance simulations showed the impact on peak energy usage between a code built house of same size and shape compared to the Villa Trieste homes with and without the PV arrays on the latter. Computations were also used to understand the effect of varying orientations of the houses in this typical housing development, including the effect of PV electrical generation. Energy conservation features of the Villa Trieste homes decreased the energy use during peak times (as well as all others), but the resulting decreased peak occurred at about the same time as the code-built houses. Consideration of the PV generation decreases the grid energy use further during daylight hours, but did not extend long enough many days to decrease the peak. Hence, a demand response approach, as planned, was needed. With participation of the residents in the demand response program developed does enable the houses to reduce the peak demand between 66% and 72%, depending on the built years. This was addressed fully in the latter part the study and is described in the latter part of this report.

  2. Opportunities for Automated Demand Response in California’s Dairy Processing Industry

    SciTech Connect (OSTI)

    Homan, Gregory K.; Aghajanzadeh, Arian; McKane, Aimee

    2015-08-30

    During periods of peak electrical demand on the energy grid or when there is a shortage of supply, the stability of the grid may be compromised or the cost of supplying electricity may rise dramatically, respectively. Demand response programs are designed to mitigate the severity of these problems and improve reliability by reducing the demand on the grid during such critical times. In 2010, the Demand Response Research Center convened a group of industry experts to suggest potential industries that would be good demand response program candidates for further review. The dairy industry was suggested due to the perception that the industry had suitable flexibility and automatic controls in place. The purpose of this report is to provide an initial description of the industry with regard to demand response potential, specifically automated demand response. This report qualitatively describes the potential for participation in demand response and automated demand response by dairy processing facilities in California, as well as barriers to widespread participation. The report first describes the magnitude, timing, location, purpose, and manner of energy use. Typical process equipment and controls are discussed, as well as common impediments to participation in demand response and automated demand response programs. Two case studies of demand response at dairy facilities in California and across the country are reviewed. Finally, recommendations are made for future research that can enhance the understanding of demand response potential in this industry.

  3. Industrial Demand Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Module. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

  4. Residential Demand Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Model Documentation - Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

  5. Drivers of Future Energy Demand

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

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

  6. Demand Response and Energy Storage Integration Study- Past Workshops

    Broader source: Energy.gov [DOE]

    The project was initiated and informed by the results of two DOE workshops; one on energy storage and the other on demand response. The workshops were attended by members of the electric power industry, researchers, and policy makers; and the study design and goals reflect their contributions to the collective thinking of the project team.

  7. Demand for oil and energy in developing countries

    SciTech Connect (OSTI)

    Wolf, C. Jr.; Relles, D.A.; Navarro, J.

    1980-05-01

    How much of the world's oil and energy supply will the non-OPEC less-developed countries (NOLDCs) demand in the next decade. Will their requirements be small and thus fairly insignificant compared with world demand, or large and relatively important. How will world demand be affected by the economic growth of the NOLDCs. In this report, we try to develop some reasonable forecasts of NOLDC energy demands in the next 10 years. Our focus is mainly on the demand for oil, but we also give some attention to the total commercial energy requirements of these countries. We have tried to be explicit about the uncertainties associated with our forecasts, and with the income and price elasticities on which they are based. Finally, we consider the forecasts in terms of their implications for US policies concerning the NOLDCs and suggest areas of future research on NOLDC energy issues.

  8. Electric Power Annual 2011

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

    4.A. Summer net internal demand, capacity resources, and capacity margins by North American Electric Reliability Corporation Region" "1999 through 2011 actual, 2012-2016 projected" "megawatts and percent" "Interconnection","NERC Regional Assesment Area","Net Internal Demand (MW)[1] -- Summer" ,,"Actual",,,,,,,,,,,,,,,,,,,,,,,"Projected"

  9. International Energy Outlook 2016-World energy demand and economc outlook -

    Gasoline and Diesel Fuel Update (EIA)

    Energy Information Administration Analysis & Projections International Energy Outlook 2016 Release Date: May 11, 2016 | Next Release Date: September 2017 | Complete PDF anticipated May 23 Chapter 1. World energy demand and economic outlook Overview The International Energy Outlook 2016 (IEO2016) Reference case projects significant growth in worldwide energy demand over the 28-year period from 2012 to 2040. Total world consumption of marketed energy expands from 549 quadrillion British

  10. Tips: Time-Based Electricity Rates | Department of Energy

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

    Time-based electricity programs encourage you to use energy when the demand is low by giving you a lower price for electricity during those times. Time-based electricity programs...

  11. Now Available: Evaluating Electric Vehicle Charging Impacts and...

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

    The electric power industry expects a 400% growth in annual sales of plug-in electric vehicles by 2023, which may substantially increase electricity usage and peak demand in high ...

  12. Impacts of Demand-Side Resources on Electric Transmission Planning |

    Energy Savers [EERE]

    Energy Impact of Solar PV Laminate Membrane Systems on Roofs Impact of Solar PV Laminate Membrane Systems on Roofs In 2008, CH2M HILL performed a solar site analysis of the HP Pavilion facility for the City of San José under the Department of Energy's Solar America Showcase program. Based on weight loading requirements of the facility's roof, CH2M HILL recommended a building integrated photovoltaic (BIPV) product that consists of thin-film, flexible photovoltaic modules that can be

  13. Heat wave contributes to higher summer electricity demand in...

    Gasoline and Diesel Fuel Update (EIA)

    drop 1.1 percent this year and then fall almost one-half percent in 2015. Compact fluorescent and LED lighting use about 75 percent less energy than traditional incandescent bulbs. ...

  14. Evaluation of the Demand Response Performance of Electric Water Heaters

    SciTech Connect (OSTI)

    Mayhorn, Ebony T.; Widder, Sarah H.; Parker, Steven A.; Pratt, Richard M.; Chassin, Forrest S.

    2015-03-17

    The purpose of this project is to verify or refute many of the concerns raised by utilities regarding the ability of large tank HPWHs to perform DR by measuring the performance of HPWHs compared to ERWHs in providing DR services. perform DR by measuring the performance of HPWHs compared to ERWHs in providing DR services. This project was divided into three phases. Phase 1 consisted of week-long laboratory experiments designed to demonstrate technical feasibility of individual large-tank HPWHs in providing DR services compared to large-tank ERWHs. In Phase 2, the individual behaviors of the water heaters were then extrapolated to a population by first calibrating readily available water heater models developed in GridLAB-D simulation software to experimental results obtained in Phase 1. These models were used to simulate a population of water heaters and generate annual load profiles to assess the impacts on system-level power and residential load curves. Such population modeling allows for the inherent and permanent load reduction accomplished by the more efficient HPWHs to be considered, in addition to the temporal DR services the water heater can provide by switching ON or OFF as needed by utilities. The economic and emissions impacts of using large-tank water heaters in DR programs are then analyzed from the utility and consumer perspective, based on National Impacts Analysis in Phase 3. Phase 1 is discussed in this report. Details on Phases 2 and 3 can be found in the companion report (Cooke et al. 2014).

  15. Table 11.1 Electricity: Components of Net Demand, 2010;

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

    2,673 0 0 0 2,673 325193 Ethyl Alcohol 7,359 0 485 4 7,840 325199 Other Basic ... Intermediates 160 0 0 0 160 325193 Ethyl Alcohol 72 0 0 4 69 325199 Other Basic Organic ...

  16. Energy Jobs: Electric Vehicle Charging Station Installer | Department of

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

    Energy Electric Vehicle Charging Station Installer Energy Jobs: Electric Vehicle Charging Station Installer October 28, 2014 - 3:23pm Addthis As the demand for electric vehicles goes up, charging stations become more prevalent -- here an electric vehicle owner uses a local charging station. | Photo Courtesy of the Energy Department. As the demand for electric vehicles goes up, charging stations become more prevalent -- here an electric vehicle owner uses a local charging station. | Photo

  17. International Oil Supplies and Demands

    SciTech Connect (OSTI)

    Not Available

    1992-04-01

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--1990 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  18. International Oil Supplies and Demands

    SciTech Connect (OSTI)

    Not Available

    1991-09-01

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--90 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  19. Electric power annual 1995. Volume II

    SciTech Connect (OSTI)

    1996-12-01

    This document summarizes pertinent statistics on various aspects of the U.S. electric power industry for the year and includes a graphic presentation. Data is included on electric utility retail sales and revenues, financial statistics, environmental statistics of electric utilities, demand-side management, electric power transactions, and non-utility power producers.

  20. U.S. Coal Supply and Demand

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

    Coal > U.S. Coal Supply and Demand > U.S. Coal Supply and Demand U.S. Coal Supply and Demand 2010 Review (entire report also available in printer-friendly format ) Previous ...

  1. Electric power annual 1993

    SciTech Connect (OSTI)

    Not Available

    1994-12-08

    This report presents a summary of electric power industry statistics at national, regional, and state levels: generating capability and additions, net generation, fossil-fuel statistics, retail sales and revenue, finanical statistics, environmental statistics, power transactions, demand side management, nonutility power producers. Purpose is to provide industry decisionmakers, government policymakers, analysts, and the public with historical data that may be used in understanding US electricity markets.

  2. Promising Technology: Demand Control Ventilation

    Broader source: Energy.gov [DOE]

    Demand control ventilation (DCV) measures carbon dioxide concentrations in return air or other strategies to measure occupancy, and accurately matches the ventilation requirement. This system reduces ventilation when spaces are vacant or at lower than peak occupancy. When ventilation is reduced, energy savings are accrued because it is not necessary to heat, cool, or dehumidify as much outside air.

  3. Commercial Demand Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components.

  4. Demand Management Institute (DMI) | Open Energy Information

    Open Energy Info (EERE)

    Demand Management Institute (DMI) Jump to: navigation, search Name: Demand Management Institute (DMI) Address: 35 Walnut Street Place: Wellesley, Massachusetts Zip: 02481 Region:...

  5. Generating Demand for Multifamily Building Upgrades | Department...

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

    Generating Demand for Multifamily Building Upgrades Generating Demand for Multifamily Building Upgrades Better Buildings Residential Network Peer Exchange Call Series: Generating...

  6. Marketing & Driving Demand: Social Media Tools & Strategies ...

    Office of Environmental Management (EM)

    Marketing & Driving Demand: Social Media Tools & Strategies - January 16, 2011 (Text Version) Marketing & Driving Demand: Social Media Tools & Strategies - January 16, 2011 (Text...

  7. Table C12. Electricity Expenditures by Census Region, 1999

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

    Electricity Expenditures by Census Region, 1999" ,"Total Electricity Expenditures (million dollars)",,,,"Electricity Expenditures (dollars)" ,,,,,"per kWh",,,,"per Square Foot"...

  8. STEO December 2012 - coal demand

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

    meet their electricity and industrial needs. But, U.S. coal exports are likely to decline next year due to an expected weaker European economy and lower international coal prices.

  9. Electricity savings potentials in the residential sector of Bahrain

    SciTech Connect (OSTI)

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

    1996-08-01

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

  10. You won`t find these leaks with a blower door: The latest in {open_quotes}leaking electricity{close_quotes} in homes

    SciTech Connect (OSTI)

    Rainer, L.; Greenberg, S.; Meier, A.

    1996-08-01

    Leaking electricity is the energy consumed by appliances when they are switched off or not performing their principal functions. Field measurements in Florida, California, and Japan show that leaking electricity represents 50 to 100 Watts in typical homes, corresponding to about 5 GW of total electricity demand in the United States. There are three strategies to reduce leaking electricity: eliminate leakage entirely, eliminate constant leakage and replace with intermittent charge plus storage, and improve efficiency of conversion. These options are constrained by the low value of energy savings-less than $5 per saved Watt. Some technical and lifestyle solutions are proposed. 13 refs., 1 fig., 2 tabs.

  11. Demand Response: Lessons Learned with an Eye to the Future | Department of

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

    Energy Demand Response: Lessons Learned with an Eye to the Future Demand Response: Lessons Learned with an Eye to the Future July 11, 2013 - 11:56am Addthis Patricia A. Hoffman Patricia A. Hoffman Assistant Secretary, Office of Electricity Delivery & Energy Reliability In today's world of limited resources and rising costs, everyone is looking for ways to use what they have more effectively while, at the same time, controlling - and ideally - reducing expenses. The electricity industry

  12. Barge Truck Total

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

    Barge Truck Total delivered cost per short ton Shipments with transportation rates over total shipments Total delivered cost per short ton Shipments with transportation rates over...

  13. Million Cu. Feet Percent of National Total

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

    to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S11. ... 2,314 764 719 180 4,046 Supplemental Gas Supplies 732 701 660 642 635 Balancing Item ...

  14. Million Cu. Feet Percent of National Total

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

    to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S35. ... 3,762 7,315 10,303 Supplemental Gas Supplies 0 0 0 0 0 Balancing Item 65,897 -19,970 ...

  15. Million Cu. Feet Percent of National Total

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

    to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S7. ... 473 526 484 626 1,359 Supplemental Gas Supplies 0 0 0 0 0 Balancing Item -6,645 3,976 ...

  16. Million Cu. Feet Percent of National Total

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

    to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S31. ... 35 108 71 124 185 Supplemental Gas Supplies 0 0 0 0 0 Balancing Item -1,393 -3,726 ...

  17. Million Cu. Feet Percent of National Total

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

    to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S51. ... 92 87 100 89 138 Supplemental Gas Supplies 0 0 0 0 0 Balancing Item -2,885 -12,890 ...

  18. Million Cu. Feet Percent of National Total

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

    to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S8. ... 76 96 66 131 128 Supplemental Gas Supplies 1 0 * * 6 Balancing Item 3,249 7,362 ...

  19. Million Cu. Feet Percent of National Total

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

    to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S17. ... 1,844 980 2,403 2,701 Supplemental Gas Supplies 2 1 0 0 1 Balancing Item -1,989 -7,914 ...

  20. Million Cu. Feet Percent of National Total

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

    to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S32. ... 4,404 3,278 5,208 6,218 Supplemental Gas Supplies 457 392 139 255 530 Balancing Item ...

  1. Million Cu. Feet Percent of National Total

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

    to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S41. ... 698 436 457 645 879 Supplemental Gas Supplies 0 0 0 0 0 Balancing Item -1,269 1,045 ...

  2. Million Cu. Feet Percent of National Total

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

    to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S47. ... 0 LNG Storage 0 0 0 0 0 Supplemental Gas Supplies 1 2 3 3 5 Balancing Item -453 -1,711 ...

  3. Million Cu. Feet Percent of National Total

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

    to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S30. ... 195 154 146 210 211 Supplemental Gas Supplies 0 0 0 0 0 Balancing Item 17,590 4,622 ...

  4. Million Cu. Feet Percent of National Total

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

    2 Alaska - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S2. Summary statistics for natural gas - Alaska, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 269 277 185 R 159 170 Production (million cubic feet) Gross Withdrawals From Gas Wells 127,417 112,268

  5. Million Cu. Feet Percent of National Total

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

    6 District of Columbia - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S9. Summary statistics for natural gas - District of Columbia, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells

  6. Million Cu. Feet Percent of National Total

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

    4 Massachusetts - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S23. Summary statistics for natural gas - Massachusetts, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0

  7. Million Cu. Feet Percent of National Total

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

    50 North Dakota - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S36. Summary statistics for natural gas - North Dakota, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 188 239 211 200 200 Production (million cubic feet) Gross Withdrawals From Gas Wells

  8. Million Cu. Feet Percent of National Total

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

    6 Washington - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S49. Summary statistics for natural gas - Washington, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil

  9. Electrical Load Modeling and Simulation

    SciTech Connect (OSTI)

    Chassin, David P.

    2013-01-01

    Electricity consumer demand response and load control are playing an increasingly important role in the development of a smart grid. Smart grid load management technologies such as Grid FriendlyTM controls and real-time pricing are making their way into the conventional model of grid planning and operations. However, the behavior of load both affects, and is affected by load control strategies that are designed to support electric grid planning and operations. This chapter discussed the natural behavior of electric loads, how it interacts with various load control and demand response strategies, what the consequences are for new grid operation concepts and the computing issues these new technologies raise.

  10. Apparatus producing constant cable tension for intermittent demand

    DOE Patents [OSTI]

    Lauritzen, T.

    1984-05-23

    This invention relates to apparatus for producing constant tension in cable or the like when it is unreeled and reeled from a drum or spool under conditions of intermittent demand. The invention is particularly applicable to the handling of superconductive cable, but the invention is also applicable to the unreeling and reeling of other strands, such as electrical cable, wire, cord, other cables, fish line, wrapping paper and numerous other materials.

  11. NREL: dGen: Distributed Generation Market Demand Model - Documentation

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

    Documentation The Distributed Generation Market Demand (dGen) model documentation summarizes the default data inputs and assumptions for the model. Input data for the model are regularly updated and include recent EIA Annual Energy Outlook projections, state-level net metering and incentive policies, and utility-level retail electricity rates. Note that the dGen model builds on, extends, and provides significant advances over NREL's deprecated SolarDS model. Documentation Outline Introduction

  12. Tips: Time-Based Electricity Rates | Department of Energy

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

    Tips: Time-Based Electricity Rates Tips: Time-Based Electricity Rates Time-based electricity programs encourage you to use energy when the demand is low by giving you a lower price for electricity during those times. Time-based electricity programs encourage you to use energy when the demand is low by giving you a lower price for electricity during those times. To help reduce their peak power demands and save money, many utilities are introducing programs that encourage their customers to use

  13. Demand Response Valuation Frameworks Paper

    SciTech Connect (OSTI)

    Heffner, Grayson

    2009-02-01

    While there is general agreement that demand response (DR) is a valued component in a utility resource plan, there is a lack of consensus regarding how to value DR. Establishing the value of DR is a prerequisite to determining how much and what types of DR should be implemented, to which customers DR should be targeted, and a key determinant that drives the development of economically viable DR consumer technology. Most approaches for quantifying the value of DR focus on changes in utility system revenue requirements based on resource plans with and without DR. This ''utility centric'' approach does not assign any value to DR impacts that lower energy and capacity prices, improve reliability, lower system and network operating costs, produce better air quality, and provide improved customer choice and control. Proper valuation of these benefits requires a different basis for monetization. The review concludes that no single methodology today adequately captures the wide range of benefits and value potentially attributed to DR. To provide a more comprehensive valuation approach, current methods such as the Standard Practice Method (SPM) will most likely have to be supplemented with one or more alternative benefit-valuation approaches. This report provides an updated perspective on the DR valuation framework. It includes an introduction and four chapters that address the key elements of demand response valuation, a comprehensive literature review, and specific research recommendations.

  14. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Carolina Renewable Electricity Profile 2010 North Carolina profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 27,674 100.0 Total Net Summer Renewable Capacity 2,499 9.0 Geothermal - - Hydro Conventional 1,956 7.1 Solar 35 0.1 Wind - - Wood/Wood Waste 481 1.7

  15. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Pennsylvania Renewable Electricity Profile 2010 Pennsylvania profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 45,575 100.0 Total Net Summer Renewable Capacity 1,984 4.4 Geothermal - - Hydro Conventional 747 1.6 Solar 9 * Wind 696 1.5 Wood/Wood Waste 108 0.2

  16. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Rhode Island Renewable Electricity Profile 2010 Rhode Island profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,782 100.0 Total Net Summer Renewable Capacity 28 1.6 Geothermal - - Hydro Conventional 3 0.2 Solar - - Wind 2 0.1

  17. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Carolina Renewable Electricity Profile 2010 South Carolina profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 23,982 100.0 Total Net Summer Renewable Capacity 1,623 6.8 Geothermal - - Hydro Conventional 1,340 5.6 Solar - - Wind - - Wood/Wood Waste 255 1.1

  18. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Dakota Renewable Electricity Profile 2010 South Dakota profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,623 100.0 Total Net Summer Renewable Capacity 2,223 61.3 Geothermal - - Hydro Conventional 1,594 44.0 Solar - - Wind 629 17.3 Wood/Wood Waste - -

  19. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Tennessee Renewable Electricity Profile 2010 Tennessee profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,417 100.0 Total Net Summer Renewable Capacity 2,847 13.3 Geothermal - - Hydro Conventional 2,624 12.3 Solar - - Wind 29 0.1 Wood/Wood Waste 185 0.9

  20. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Vermont Renewable Electricity Profile 2010 Vermont profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,128 100.0 Total Net Summer Renewable Capacity 408 36.2 Geothermal - - Hydro Conventional 324 28.7 Solar - - Wind 5 0.5 Wood/Wood Waste 76 6.7 MSW/Landfill Gas 3

  1. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Wisconsin Renewable Electricity Profile 2010 Wisconsin profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 17,836 100.0 Total Net Summer Renewable Capacity 1,267 7.1 Geothermal - - Hydro Conventional 492 2.8 Solar - - Wind 449 2.5 Wood/Wood Waste 239 1.3

  2. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Wyoming Renewable Electricity Profile 2010 Wyoming profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 7,986 100.0 Total Net Summer Renewable Capacity 1,722 21.6 Geothermal - - Hydro Conventional 307 3.8 Solar - - Wind 1,415 17.7 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - -

  3. EIA - Renewable Electricity State Profiles

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

    Alabama Renewable Electricity Profile 2010 Alabama profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 32,417 100.0 Total Net Summer Renewable Capacity 3,855 11.9 Geothermal - - Hydro Conventional 3,272 10.1 Solar - - Wind - - Wood/Wood Waste 583 1.8 MSW/Landfill

  4. EIA - Renewable Electricity State Profiles

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

    Alaska Renewable Electricity Profile 2010 Alaska profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 2,067 100.0 Total Net Summer Renewable Capacity 422 20.4 Geothermal - - Hydro Conventional 414 20.1 Solar - - Wind 7 0.4 Wood/Wood Waste - - MSW/Landfill Gas - -

  5. EIA - Renewable Electricity State Profiles

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

    Arizona Renewable Electricity Profile 2010 Arizona profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 26,392 100.0 Total Net Summer Renewable Capacity 2,901 11.9 Geothermal - - Hydro Conventional 2,720 10.1 Solar 20 - Wind 128 - Wood/Wood Waste 583 1.8

  6. EIA - Renewable Electricity State Profiles

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

    Connecticut Renewable Electricity Profile 2010 Connecticut profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 8,284 100.0 Total Net Summer Renewable Capacity 281 3.4 Geothermal - - Hydro Conventional 122 1.5 Solar - - Wind - -

  7. EIA - Renewable Electricity State Profiles

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

    Delaware Renewable Electricity Profile 2010 Delaware profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,389 100.0 Total Net Summer Renewable Capacity 10 0.3 Geothermal - - Hydro Conventional - - Solar - - Wind 2 0.1 Wood/Wood

  8. EIA - Renewable Electricity State Profiles

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

    District of Columbia Renewable Electricity Profile 2010 District of Columbia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source - Primary Renewable Energy Generation Source - Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 790 100.0 Total Net Summer Renewable Capacity - - Geothermal - - Hydro Conventional - - Solar - - Wind - - Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - -

  9. EIA - Renewable Electricity State Profiles

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

    Georgia Renewable Electricity Profile 2010 Georgia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 36,636 100.0 Total Net Summer Renewable Capacity 2,689 7.3 Geothermal - - Hydro Conventional 2,052 5.6 Solar - - Wind - - Wood/Wood Waste 617 1.7 MSW/Landfill Gas

  10. EIA - Renewable Electricity State Profiles

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

    Kansas Renewable Electricity Profile 2010 Kansas profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 12,543 100.0 Total Net Summer Renewable Capacity 1,082 8.6 Geothermal - - Hydro Conventional 3 * Solar - - Wind 1,072 8.5 Wood/Wood Waste - - MSW/Landfill Gas 7 0.1 Other Biomass - -

  11. EIA - Renewable Electricity State Profiles

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

    Louisiana Renewable Electricity Profile 2010 Louisiana profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wood/Wood Waste Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 26,744 100.0 Total Net Summer Renewable Capacity 517 1.9 Geothermal - - Hydro Conventional 192 0.7 Solar - - Wind - - Wood/Wood Waste 311 1.2 MSW/Landfill Gas - -

  12. EIA - Renewable Electricity State Profiles

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

    Maryland Renewable Electricity Profile 2010 Maryland profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 12,516 100.0 Total Net Summer Renewable Capacity 799 6.4 Geothermal - - Hydro Conventional 590 4.7 Solar 1 * Wind 70 0.6 Wood/Wood Waste 3 * MSW/Landfill Gas

  13. EIA - Renewable Electricity State Profiles

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

    Massachusetts Renewable Electricity Profile 2010 Massachusetts profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 13,697 100.0 Total Net Summer Renewable Capacity 566 4.1 Geothermal - - Hydro Conventional 262 1.9 Solar 4 * Wind 10 0.1 Wood/Wood

  14. EIA - Renewable Electricity State Profiles

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

    Mississippi Renewable Electricity Profile 2010 Mississippi profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wood/Wood Waste Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 15,691 100.0 Total Net Summer Renewable Capacity 235 1.5 Geothermal - - Hydro Conventional - - Solar - - Wind - - Wood/Wood Waste 235 1.5 MSW/Landfill Gas - -

  15. EIA - Renewable Electricity State Profiles

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

    Missouri Renewable Electricity Profile 2010 Missouri profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,739 100.0 Total Net Summer Renewable Capacity 1,030 4.7 Geothermal - - Hydro Conventional 564 2.6 Solar - - Wind 459 2.1 Wood/Wood Waste - - MSW/Landfill Gas

  16. EIA - Renewable Electricity State Profiles

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

    Montana Renewable Electricity Profile 2010 Montana profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 5,866 100.0 Total Net Summer Renewable Capacity 3,085 52.6 Geothermal - - Hydro Conventional 2,705 46.1 Solar - - Wind 379 6.5 Wood/Wood Waste - - MSW/Landfill

  17. EIA - Renewable Electricity State Profiles

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

    Nebraska Renewable Electricity Profile 2010 Nebraska profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 7,857 100.0 Total Net Summer Renewable Capacity 443 5.6 Geothermal - - Hydro Conventional 278 3.5 Solar - - Wind 154 2.0 Wood/Wood Waste - - MSW/Landfill Gas 6

  18. EIA - Renewable Electricity State Profiles

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

    Hampshire Renewable Electricity Profile 2010 New Hampshire profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 4,180 100.0 Total Net Summer Renewable Capacity 671 16.1 Geothermal - - Hydro Conventional 489 11.7 Solar - - Wind 24 0.6 Wood/Wood Waste 129 3.1

  19. EIA - Renewable Electricity State Profiles

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

    Jersey Renewable Electricity Profile 2010 New Jersey profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 18,424 100.0 Total Net Summer Renewable Capacity 230 1.2 Geothermal - - Hydro Conventional 4 * Solar 28 0.2 Wind 8 * Wood/Wood

  20. EIA - Renewable Electricity State Profiles

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

    Carolina Renewable Electricity Profile 2010 North Carolina profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 27,674 100.0 Total Net Summer Renewable Capacity 2,499 9.0 Geothermal - - Hydro Conventional 1,956 7.1 Solar 35 0.1 Wind - - Wood/Wood Waste 481 1.7

  1. EIA - Renewable Electricity State Profiles

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

    Pennsylvania Renewable Electricity Profile 2010 Pennsylvania profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 45,575 100.0 Total Net Summer Renewable Capacity 1,984 4.4 Geothermal - - Hydro Conventional 747 1.6 Solar 9 * Wind 696 1.5 Wood/Wood Waste 108 0.2

  2. EIA - Renewable Electricity State Profiles

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

    Rhode Island Renewable Electricity Profile 2010 Rhode Island profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,782 100.0 Total Net Summer Renewable Capacity 28 1.6 Geothermal - - Hydro Conventional 3 0.2 Solar - - Wind 2 0.1

  3. EIA - Renewable Electricity State Profiles

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

    Carolina Renewable Electricity Profile 2010 South Carolina profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 23,982 100.0 Total Net Summer Renewable Capacity 1,623 6.8 Geothermal - - Hydro Conventional 1,340 5.6 Solar - - Wind - - Wood/Wood Waste 255 1.1

  4. EIA - Renewable Electricity State Profiles

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

    Dakota Renewable Electricity Profile 2010 South Dakota profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,623 100.0 Total Net Summer Renewable Capacity 2,223 61.3 Geothermal - - Hydro Conventional 1,594 44.0 Solar - - Wind 629 17.3 Wood/Wood Waste - -

  5. EIA - Renewable Electricity State Profiles

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

    Tennessee Renewable Electricity Profile 2010 Tennessee profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,417 100.0 Total Net Summer Renewable Capacity 2,847 13.3 Geothermal - - Hydro Conventional 2,624 12.3 Solar - - Wind 29 0.1 Wood/Wood Waste 185 0.9

  6. EIA - Renewable Electricity State Profiles

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

    Vermont Renewable Electricity Profile 2010 Vermont profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,128 100.0 Total Net Summer Renewable Capacity 408 36.2 Geothermal - - Hydro Conventional 324 28.7 Solar - - Wind 5 0.5 Wood/Wood Waste 76 6.7 MSW/Landfill Gas 3

  7. EIA - Renewable Electricity State Profiles

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

    Virginia Renewable Electricity Profile 2010 Virginia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 24,109 100.0 Total Net Summer Renewable Capacity 1,487 6.2 Geothermal - - Hydro Conventional 866 3.6 Solar - - Wind - - Wood/Wood Waste 331 1.4 MSW/Landfill Gas

  8. EIA - Renewable Electricity State Profiles

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

    West Virginia Renewable Electricity Profile 2010 West Virginia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 16,495 100.0 Total Net Summer Renewable Capacity 715 4.3 Geothermal - - Hydro Conventional 285 1.7 Solar - - Wind 431 2.6 Wood/Wood Waste - - MSW/Landfill Gas - -

  9. EIA - Renewable Electricity State Profiles

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

    Wisconsin Renewable Electricity Profile 2010 Wisconsin profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 17,836 100.0 Total Net Summer Renewable Capacity 1,267 7.1 Geothermal - - Hydro Conventional 492 2.8 Solar - - Wind 449 2.5 Wood/Wood Waste 239 1.3

  10. EIA - Renewable Electricity State Profiles

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

    Wyoming Renewable Electricity Profile 2010 Wyoming profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 7,986 100.0 Total Net Summer Renewable Capacity 1,722 21.6 Geothermal - - Hydro Conventional 307 3.8 Solar - - Wind 1,415 17.7 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - -

  11. Field Demonstration of Automated Demand Response for Both Winter and Summer Events in Large Buildings in the Pacific Northwest

    SciTech Connect (OSTI)

    Piette, Mary Ann; Kiliccote, Sila; Dudley, Junqiao H.

    2011-11-11

    There are growing strains on the electric grid as cooling peaks grow and equipment ages. Increased penetration of renewables on the grid is also straining electricity supply systems and the need for flexible demand is growing. This paper summarizes results of a series of field test of automated demand response systems in large buildings in the Pacific Northwest. The objective of the research was two fold. One objective was to evaluate the use demand response automation technologies. A second objective was to evaluate control strategies that could change the electric load shape in both winter and summer conditions. Winter conditions focused on cold winter mornings, a time when the electric grid is often stressed. The summer test evaluated DR strategies in the afternoon. We found that we could automate both winter and summer control strategies with the open automated demand response communication standard. The buildings were able to provide significant demand response in both winter and summer events.

  12. Electric power annual 1992

    SciTech Connect (OSTI)

    Not Available

    1994-01-06

    The Electric Power Annual presents a summary of electric utility statistics at national, regional and State levels. The objective of the publication is to provide industry decisionmakers, government policymakers, analysts and the general public with historical data that may be used in understanding US electricity markets. The Electric Power Annual is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. ``The US Electric Power Industry at a Glance`` section presents a profile of the electric power industry ownership and performance, and a review of key statistics for the year. Subsequent sections present data on generating capability, including proposed capability additions; net generation; fossil-fuel statistics; retail sales; revenue; financial statistics; environmental statistics; electric power transactions; demand-side management; and nonutility power producers. In addition, the appendices provide supplemental data on major disturbances and unusual occurrences in US electricity power systems. Each section contains related text and tables and refers the reader to the appropriate publication that contains more detailed data on the subject matter. Monetary values in this publication are expressed in nominal terms.

  13. Northwest Open Automated Demand Response Technology Demonstration Project

    SciTech Connect (OSTI)

    Kiliccote, Sila; Piette, Mary Ann; Dudley, Junqiao

    2010-03-17

    The Lawrence Berkeley National Laboratory (LBNL) Demand Response Research Center (DRRC) demonstrated and evaluated open automated demand response (OpenADR) communication infrastructure to reduce winter morning and summer afternoon peak electricity demand in commercial buildings the Seattle area. LBNL performed this demonstration for the Bonneville Power Administration (BPA) in the Seattle City Light (SCL) service territory at five sites: Seattle Municipal Tower, Seattle University, McKinstry, and two Target stores. This report describes the process and results of the demonstration. OpenADR is an information exchange model that uses a client-server architecture to automate demand-response (DR) programs. These field tests evaluated the feasibility of deploying fully automated DR during both winter and summer peak periods. DR savings were evaluated for several building systems and control strategies. This project studied DR during hot summer afternoons and cold winter mornings, both periods when electricity demand is typically high. This is the DRRC project team's first experience using automation for year-round DR resources and evaluating the flexibility of commercial buildings end-use loads to participate in DR in dual-peaking climates. The lessons learned contribute to understanding end-use loads that are suitable for dispatch at different times of the year. The project was funded by BPA and SCL. BPA is a U.S. Department of Energy agency headquartered in Portland, Oregon and serving the Pacific Northwest. BPA operates an electricity transmission system and markets wholesale electrical power at cost from federal dams, one non-federal nuclear plant, and other non-federal hydroelectric and wind energy generation facilities. Created by the citizens of Seattle in 1902, SCL is the second-largest municipal utility in America. SCL purchases approximately 40% of its electricity and the majority of its transmission from BPA through a preference contract. SCL also provides ancillary services within its own balancing authority. The relationship between BPA and SCL creates a unique opportunity to create DR programs that address both BPA's and SCL's markets simultaneously. Although simultaneously addressing both market could significantly increase the value of DR programs for BPA, SCL, and the end user, establishing program parameters that maximize this value is challenging because of complex contractual arrangements and the absence of a central Independent System Operator or Regional Transmission Organization in the northwest.

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

    SciTech Connect (OSTI)

    Kirby, Brendan J

    2006-07-01

    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.

  15. Battery Second Use Offsets Electric Vehicle Expenses, Improves...

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

    they increase the potential for widespread PEV adoption by eliminating end-of-life automotive service costs, in addition to helping utilities support peak electricity demands...

  16. Electric Power Research Institute Cooperation to Increase Energy...

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

    March 6, 2008 Memorandum of Understanding on Electric Utility Energy Efficiency, Demand Response, and the Smart Grid.pdf More Documents & Publications Microsoft Word -...

  17. Lime Energy formerly Electric City Corporation | Open Energy...

    Open Energy Info (EERE)

    integrator of energy savings technologies and building automation systems. Specialist in demand response systems. References: Lime Energy (formerly Electric City Corporation)1...

  18. Electric Power Research Institute Cooperation to Increase Energy...

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

    needs by improving energy efficiency and promoting the widespread adoption of electric energy demand response programs in an effort to curtail energy use during peak periods. ...

  19. Making the most of Responsive Electricity Customer. Energy Efficiency...

    Office of Environmental Management (EM)

    Making the most of Responsive Electricity Customer. Energy Efficiency and Demand Response: How do we make the most out of using less energy? Making the most of Responsive ...

  20. "Smart" Frequency-Sensing Charge Controller for Electric Vehicles...

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

    "Smart" Frequency-Sensing Charge Controller for Electric Vehicles Method for implementing demand response and regulation services to power grids Argonne National Laboratory Contact ...

  1. Energy Department/Electric Power Research Institute Cooperation...

    Office of Environmental Management (EM)

    energy efficiency and promoting the widespread adoption of electric energy demand response programs in an effort to curtail energy use during peak periods. "Through ongoing ...

  2. FROM: Keith Dennis, National Rural Electric Cooperative Association...

    Energy Savers [EERE]

    standards for large (>55 gallon) residential electric storage water heaters used in demand response and thermal energy storage programs (Docket No. EERE-2012-BT-STD-0022). ...

  3. Chapter 3: Enabling Modernization of the Electric Power System...

    Energy Savers [EERE]

    variable wind generators, plug-in electric vehicles, photovoltaic systems, fuel cells, microturbines, demand response and load modifying resources, and energy storage systems. ...

  4. Chapter 3: Enabling Modernization of the Electric Power System...

    Energy Savers [EERE]

    On the load side, demand response, customer participation, distributed generation, energy storage, and electric vehicle charging and discharging create uncertainty and shift the ...

  5. ,"Total Natural Gas Consumption

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

    Gas Consumption (billion cubic feet)",,,,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"Total ","Space Heating","Water Heating","Cook- ing","Other","Total ","Space...

  6. Energy demand and population changes

    SciTech Connect (OSTI)

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

    1980-12-01

    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.

  7. Coordination of Energy Efficiency and Demand Response

    SciTech Connect (OSTI)

    none,

    2010-01-01

    Summarizes existing research and discusses current practices, opportunities, and barriers to coordinating energy efficiency and demand response programs.

  8. Total Space Heat-

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

    12 1 18 (*) 2 1 Q 6 Buildings without Cooling ... 30 1 (*) 4 (*) 14 (*) 4 (*) 1 6 Water-Heating Energy Source Electricity ... 402 21 57 42...

  9. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect (OSTI)

    Sparn, B.; Jin, X.; Earle, L.

    2013-10-01

    With the advent of the Advanced Metering Infrastructure (AMI) systems capable of two-way communications between the utility's grid and the building, there has been significant effort in the Automated Home Energy Management (AHEM) industry to develop capabilities that allow residential building systems to respond to utility demand events by temporarily reducing their electricity usage. Major appliance manufacturers are following suit by developing Home Area Network (HAN)-tied appliance suites that can take signals from the home's 'smart meter,' a.k.a. AMI meter, and adjust their run cycles accordingly. There are numerous strategies that can be employed by household appliances to respond to demand-side management opportunities, and they could result in substantial reductions in electricity bills for the residents depending on the pricing structures used by the utilities to incent these types of responses. The first step to quantifying these end effects is to test these systems and their responses in simulated demand-response (DR) conditions while monitoring energy use and overall system performance.

  10. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect (OSTI)

    Sparn, B.; Jin, X.; Earle, L.

    2013-10-01

    With the advent of the Advanced Metering Infrastructure (AMI) systems capable of two-way communications between the utility's grid and the building, there has been significant effort in the Automated Home Energy Management (AHEM) industry to develop capabilities that allow residential building systems to respond to utility demand events by temporarily reducing their electricity usage. Major appliance manufacturers are following suit by developing Home Area Network (HAN)-tied appliance suites that can take signals from the home's 'smart meter,' a.k.a. AMI meter, and adjust their run cycles accordingly. There are numerous strategies that can be employed by household appliances to respond to demand-side management opportunities, and they could result in substantial reductions in electricity bills for the residents depending on the pricing structures used by the utilities to incent these types of responses.The first step to quantifying these end effects is to test these systems and their responses in simulated demand-response (DR) conditions while monitoring energy use and overall system performance.

  11. Coordinating Interstate ElectricTransmission Siting: An Introduction to the

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

    Debate | Department of Energy Coordinating Interstate ElectricTransmission Siting: An Introduction to the Debate Coordinating Interstate ElectricTransmission Siting: An Introduction to the Debate In recent years, experts have started drawing att ention to the need to improve the system that transmits electricity from power plants to demand centers. Congestion on existing lines, increased energy demand that suggests a need for new electric transmission and the challenge of connecting

  12. Chilled Water Thermal Storage System and Demand Response at the University of California at Merced

    SciTech Connect (OSTI)

    Granderson, Jessica; Dudley, Junqiao Han; Kiliccote, Sila; Piette, Mary Ann

    2009-10-08

    The University of California at Merced is a unique campus that has benefited from intensive efforts to maximize energy efficiency, and has participated in a demand response program for the past two years. Campus demand response evaluations are often difficult because of the complexities introduced by central heating and cooling, non-coincident and diverse building loads, and existence of a single electrical meter for the entire campus. At the University of California at Merced, a two million gallon chilled water storage system is charged daily during off-peak price periods and used to flatten the load profile during peak demand periods. This makes demand response more subtle and challenges typical evaluation protocols. The goal of this research is to study demand response savings in the presence of storage systems in a campus setting. First, University of California at Merced summer electric loads are characterized; second, its participation in two demand response events is detailed. In each event a set of strategies were pre-programmed into the campus control system to enable semi-automated response. Finally, demand savings results are applied to the utility's DR incentives structure to calculate the financial savings under various DR programs and tariffs. A key conclusion to this research is that there is significant demand reduction using a zone temperature set point change event with the full off peak storage cooling in use.

  13. Total pressing Indonesian gas development, exports

    SciTech Connect (OSTI)

    Not Available

    1994-01-24

    Total is on track to become Indonesia's leading gas exporter by the turn of the century. Total's aggressive development of its Mahakam Delta acreage in East Kalimantan is intended to keep pace with growing liquefied natural gas demand, mainly from Japan but also increasingly from South Korea and Taiwan. A frantic scramble is under way among natural gas suppliers in the Pacific Rim region, particularly those with current LNG export facilities, to accommodate projections of soaring natural gas demand in the region. Accordingly, Total's Indonesian gas production goal is the centerpiece of a larger strategy to become a major player in the Far East Asia gas scene. Its goals also fall in line with Indonesia's. Facing flat or declining oil production while domestic oil demand continues to soar along with a rapidly growing economy, Indonesia is heeding some studies that project the country could become a net oil importer by the turn of the century. The paper describes Total's Far East strategy, the Mahakam acreage which it operates, the shift to gas development, added discoveries, future development, project spending levels, and LNG export capacity.

  14. Demand Response in the West: Lessons for States and Provinces

    SciTech Connect (OSTI)

    Douglas C. Larson; Matt Lowry; Sharon Irwin

    2004-06-29

    OAK-B135 This paper is submitted in fulfillment of DOE Grant No. DE-FG03-015F22369 on the experience of western states/provinces with demand response (DR) in the electricity sector. Demand-side resources are often overlooked as a viable option for meeting load growth and addressing the challenges posed by the region's aging transmission system. Western states should work together with utilities and grid operators to facilitate the further deployment of DR programs which can provide benefits in the form of decreased grid congestion, improved system reliability, market efficiency, price stabilization, hedging against volatile fuel prices and reduced environmental impacts of energy production. This report describes the various types of DR programs; provides a survey of DR programs currently in place in the West; considers the benefits, drawbacks and barriers to DR; and presents lessons learned and recommendations for states/provinces.

  15. Million Cu. Feet Percent of National Total

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

    0 Alabama - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S1. Summary statistics for natural gas - Alabama, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 7,026 7,063 6,327 R 6,165 6,118 Production (million cubic feet) Gross Withdrawals From Gas Wells

  16. Million Cu. Feet Percent of National Total

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

    0 Colorado - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S6. Summary statistics for natural gas - Colorado, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 28,813 30,101 32,000 R 32,468 38,346 Production (million cubic feet) Gross Withdrawals From Gas

  17. Million Cu. Feet Percent of National Total

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

    8 Florida - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S10. Summary statistics for natural gas - Florida, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 17,182 16,459 19,742

  18. Million Cu. Feet Percent of National Total

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

    4 Hawaii - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S13. Summary statistics for natural gas - Hawaii, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0

  19. Million Cu. Feet Percent of National Total

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

    6 Idaho - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S14. Summary statistics for natural gas - Idaho, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0

  20. Million Cu. Feet Percent of National Total

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

    4 Kansas - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S18. Summary statistics for natural gas - Kansas, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 22,145 25,758 24,697 R 23,792 24,354 Production (million cubic feet) Gross Withdrawals From Gas Wells

  1. Million Cu. Feet Percent of National Total

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

    8 Louisiana - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S20. Summary statistics for natural gas - Louisiana, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 19,137 21,235 19,792 R 19,528 19,251 Production (million cubic feet) Gross Withdrawals From Gas

  2. Million Cu. Feet Percent of National Total

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

    4 New Mexico - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S33. Summary statistics for natural gas - New Mexico, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 44,748 32,302 28,206 R 27,073 27,957 Production (million cubic feet) Gross Withdrawals From

  3. Million Cu. Feet Percent of National Total

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

    6 Oregon - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S39. Summary statistics for natural gas - Oregon, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 26 24 27 R 26 28 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,407 1,344 770 770

  4. Demand Response in the ERCOT Markets

    SciTech Connect (OSTI)

    Patterson, Mark

    2011-10-25

    ERCOT grid serves 85% of Texas load over 40K+ miles transmission line. Demand response: voluntary load response, load resources, controllable load resources, and emergency interruptible load service.

  5. Reducing Logistics Footprints and Replenishment Demands: Nano...

    Office of Scientific and Technical Information (OSTI)

    Water Treatment Citation Details In-Document Search Title: Reducing Logistics Footprints and Replenishment Demands: Nano-engineered Silica Aerogels a Proven Method for Water ...

  6. Geographically Based Hydrogen Demand and Infrastructure Rollout...

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

    Rollout Scenario Analysis Geographically Based Hydrogen Demand and Infrastructure Rollout Scenario Analysis Presentation by Margo Melendez at the 2010-2025 Scenario Analysis for ...

  7. Marketing & Driving Demand Collaborative - Social Media Tools...

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

    Marketing & Driving Demand Collaborative - Social Media Tools & Strategies Presentation slides from the Better Buildings webinar on January 6, 2011. PDF icon Marketing & Driving ...

  8. Fabricate-on-Demand Vacuum Insulating Glazings

    Broader source: Energy.gov [DOE]

    PPG is working to design a fabricate-on-demand process to overcome the cost and supply chain issues preventing widespread adoption of vacuum insulating glazings (VIGs).

  9. BPA, Energy Northwest launch demand response pilot

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

    BPA-Energy-Northwest-launch-demand-response-pilot Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand...

  10. Integration of Demand Side Management, Distributed Generation...

    Open Energy Info (EERE)

    various aspects of demand response, distributed generation, smart grid and energy storage. Annex 9 is a list of pilot programs and case studies, with links to those...

  11. Demand Response and Energy Storage Integration Study

    Broader source: Energy.gov [DOE]

    Demand response and energy storage resources present potentially important sources of bulk power system services that can aid in integrating variable renewable generation. While renewable...

  12. Energy Efficiency, Demand Response, and Volttron

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

    ENERGY EFFICIENCY, DEMAND RESPONSE, AND VOLTTRON Presented by Justin Sipe SEEMINGLY SIMPLE STATEMENTS Utilities need more capacity to handle growth on the grid ...

  13. Geographically Based Hydrogen Consumer Demand and Infrastructure...

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

    Geographically Based Hydrogen Consumer Demand and Infrastructure Analysis Final Report M. Melendez and A. Milbrandt Technical Report NRELTP-540-40373 October 2006 NREL is operated...

  14. The Role of Demand Response in Default Service Pricing

    SciTech Connect (OSTI)

    Barbose, Galen; Goldman, Chuck; Neenan, Bernie

    2006-03-10

    Dynamic retail electricity pricing, especially real-time pricing (RTP), has been widely heralded as a panacea for providing much-needed demand response in electricity markets. However, in designing default service for competitive retail markets, demand response often appears to be an afterthought. But that may be changing as states that initiated customer choice in the past 5-7 years reach an important juncture in retail market design. Most states with retail choice established an initial transitional period, during which utilities were required to offer a default or ''standard offer'' generation service, often at a capped or otherwise administratively-determined rate. Many retail choice states have reached, or are nearing, the end of their transitional period and several states have adopted an RTP-type default service for large commercial and industrial (C&I) customers. Are these initiatives motivated by the desire to induce greater demand response, or is RTP being called upon to serve a different role in competitive markets? Surprisingly, we found that in most cases, the primary reason for adopting RTP as the default service was not to encourage demand response, but rather to advance policy objectives related to the development of competitive retail markets. However, we also find that, if efforts are made in its design and implementation, default RTP service can also provide a solid foundation for developing price responsive demand, creating an important link between wholesale and retail market transactions. This paper, which draws from a lengthier report, describes the experience to date with default RTP in the U.S., identifying findings related to its actual and potential role as an instrument for cultivating price responsive demand [1]. For each of the five states currently with default RTP, we conducted a detailed review of the regulatory proceedings leading to its adoption. To further understand the intentions and expectations of those involved in its design and implementation, we also interviewed regulatory staff and utilities in each state, as well as eight of the most prominent competitive retail suppliers operating in these markets which, together, comprised about 60-65% of competitive C&I sales in the U.S. in 2004 [2].

  15. Table A55. Number of Establishments by Total Inputs of Energy...

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

    Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity ... Industry","Total(b)","Bed Boilers","Heat Recovery","Turbines","Heat Recovery","Processes",...

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

    SciTech Connect (OSTI)

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

    2010-05-14

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

  17. Electric sales and revenue, 1990

    SciTech Connect (OSTI)

    Not Available

    1992-02-21

    The Electric Sales and Revenue is prepared by the Survey Management Division, Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. This publication provides information about sales of electricity, its associated revenue, and the average revenue per kilowatthour sold to residential, commercial, industrial, and other consumers throughout the United States. Previous publications presented data on typical electric bills at specified consumption levels as well as sales, revenues, and average revenue. The sales, revenue, and average revenue per kilowatthour provided in the Electric Sales and Revenue are based on annual data reported by electric utilities for the calendar year ending December 31, 1990. The electric revenue reported by each electric utility includes the revenue billed for the amount of kilowatthours sold, revenue from income, unemployment and other State and local taxes, energy or demand charges, consumer services charges, environmental surcharges, franchise fees, fuel adjustments, and other miscellaneous charges. Average revenue per kilowatthour is defined as the cost per unit of electricity sold and is calculated by dividing retail sales into the associated electric revenue. The sales of electricity, associated revenue, and average revenue per kilowatthour provided in this report are presented at the national, Census division, State, and electric utility levels.

  18. Optimization Based Data Mining Approah for Forecasting Real-Time Energy Demand

    SciTech Connect (OSTI)

    Omitaomu, Olufemi A; Li, Xueping; Zhou, Shengchao

    2015-01-01

    The worldwide concern over environmental degradation, increasing pressure on electric utility companies to meet peak energy demand, and the requirement to avoid purchasing power from the real-time energy market are motivating the utility companies to explore new approaches for forecasting energy demand. Until now, most approaches for forecasting energy demand rely on monthly electrical consumption data. The emergence of smart meters data is changing the data space for electric utility companies, and creating opportunities for utility companies to collect and analyze energy consumption data at a much finer temporal resolution of at least 15-minutes interval. While the data granularity provided by smart meters is important, there are still other challenges in forecasting energy demand; these challenges include lack of information about appliances usage and occupants behavior. Consequently, in this paper, we develop an optimization based data mining approach for forecasting real-time energy demand using smart meters data. The objective of our approach is to develop a robust estimation of energy demand without access to these other building and behavior data. Specifically, the forecasting problem is formulated as a quadratic programming problem and solved using the so-called support vector machine (SVM) technique in an online setting. The parameters of the SVM technique are optimized using simulated annealing approach. The proposed approach is applied to hourly smart meters data for several residential customers over several days.

  19. AMI Communication Requirements to Implement Demand-Response: Applicability of Hybrid Spread Spectrum Wireless

    SciTech Connect (OSTI)

    Hadley, Mark D.; Clements, Samuel L.; Carroll, Thomas E.

    2011-09-30

    While holistically defining the smart grid is a challenge, one area of interest is demand-response. In 2009, the Department of Energy announced over $4 billion in grant and project funding for the Smart Grid. A significant amount of this funding was allotted to utilities for cost sharing projects to deploy Smart Grid technologies, many of whom have deployed and are deploying advanced metering infrastructure (AMI). AMI is an enabler to increase the efficiency of utilities and the bulk power grid. The bulk electrical system is unique in that it produces electricity as it is consumed. Most other industries have a delay between generation and consumption. This aspect of the power grid means that there must be enough generation capacity to meet the highest demand whereas other industries could over produce during off-peak times. This requires significant investment in generation capacity to cover the few days a year of peak consumption. Since bulk electrical storage doesn't yet exist at scale another way to curb the need for new peak period generation is through demand-response; that is to incentivize consumers (demand) to curtail (respond) electrical usage during peak periods. Of the various methods proposed for enabling demand-response, this paper will focus on the communication requirements for creating an energy market using transactional controls. More specifically, the paper will focus on the communication requirements needed to send the peak period notices and receive the response back from the consumers.

  20. Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles

    SciTech Connect (OSTI)

    Yamaguchi, Nobuyuki; Han, Junqiao; Ghatikar, Girish; Piette, Mary Ann; Asano, Hiroshi; Kiliccote, Sila

    2009-06-28

    This paper provides new regression models for demand reduction of Demand Response programs for the purpose of ex ante evaluation of the programs and screening for recruiting customer enrollment into the programs. The proposed regression models employ load sensitivity to outside air temperature and representative load pattern derived from cluster analysis of customer baseline load as explanatory variables. The proposed models examined their performances from the viewpoint of validity of explanatory variables and fitness of regressions, using actual load profile data of Pacific Gas and Electric Company's commercial and industrial customers who participated in the 2008 Critical Peak Pricing program including Manual and Automated Demand Response.

  1. ,"Total Fuel Oil Expenditures

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

    . Fuel Oil Expenditures by Census Region for Non-Mall Buildings, 2003" ,"Total Fuel Oil Expenditures (million dollars)",,,,"Fuel Oil Expenditures (dollars)" ,,,,,"per...

  2. ,"Total Fuel Oil Consumption

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

    0. Fuel Oil Consumption (gallons) and Energy Intensities by End Use for Non-Mall Buildings, 2003" ,"Total Fuel Oil Consumption (million gallons)",,,,,"Fuel Oil Energy Intensity...

  3. ,"Total Fuel Oil Expenditures

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

    4. Fuel Oil Expenditures by Census Region, 1999" ,"Total Fuel Oil Expenditures (million dollars)",,,,"Fuel Oil Expenditures (dollars)" ,,,,,"per Gallon",,,,"per Square Foot"...

  4. Total Space Heat-

    Gasoline and Diesel Fuel Update (EIA)

    Commercial Buildings Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration...

  5. ,"Total Fuel Oil Expenditures

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

    A. Fuel Oil Expenditures by Census Region for All Buildings, 2003" ,"Total Fuel Oil Expenditures (million dollars)",,,,"Fuel Oil Expenditures (dollars)" ,,,,,"per Gallon",,,,"per...

  6. ,"Total Fuel Oil Consumption

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

    A. Fuel Oil Consumption (gallons) and Energy Intensities by End Use for All Buildings, 2003" ,"Total Fuel Oil Consumption (million gallons)",,,,,"Fuel Oil Energy Intensity...

  7. Total Space Heat-

    Gasoline and Diesel Fuel Update (EIA)

    Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings...

  8. Total Space Heat-

    Gasoline and Diesel Fuel Update (EIA)

    Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings*...

  9. Automation of Capacity Bidding with an Aggregator Using Open Automated Demand Response

    SciTech Connect (OSTI)

    Kiliccote, Sila; Piette, Mary Ann

    2008-10-01

    This report summarizes San Diego Gas& Electric Company?s collaboration with the Demand Response Research Center to develop and test automation capability for the Capacity Bidding Program in 2007. The report describes the Open Automated Demand Response architecture, summarizes the history of technology development and pilot studies. It also outlines the Capacity Bidding Program and technology being used by an aggregator that participated in this demand response program. Due to delays, the program was not fully operational for summer 2007. However, a test event on October 3, 2007, showed that the project successfully achieved the objective to develop and demonstrate how an open, Web?based interoperable automated notification system for capacity bidding can be used by aggregators for demand response. The system was effective in initiating a fully automated demand response shed at the aggregated sites. This project also demonstrated how aggregators can integrate their demand response automation systems with San Diego Gas& Electric Company?s Demand Response Automation Server and capacity bidding program.

  10. " Level: National Data and Regional Totals;"

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

    3. Quantity of Purchased Electricity, Natural Gas, and Steam, 1998;" " Level: National Data and Regional Totals;" " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: Physical Units or Btu." ,,,"Electricity","Components",,"Natural Gas","Components",,"Steam","Components" " "," ",,,"Electricity",,,"Natural

  11. Parallel Total Energy

    Energy Science and Technology Software Center (OSTI)

    2004-10-21

    This is a total energy electronic structure code using Local Density Approximation (LDA) of the density funtional theory. It uses the plane wave as the wave function basis set. It can sue both the norm conserving pseudopotentials and the ultra soft pseudopotentials. It can relax the atomic positions according to the total energy. It is a parallel code using MP1.

  12. Externalities and electric power: an integrated assessment approach

    SciTech Connect (OSTI)

    Lee, R.

    1995-12-31

    This paper describes an integrated assessment approach for considering the options that electric utilities have to meet the anticipated demand for their power. The objective that this paper considers is one of meeting the demand for power, with an acceptable degree of reliability, at minimum cost. The total cost is the sum of the private cost of producing the electric power plus the external costs that result from its production. These external costs, or externalities, are effects on the well-being of third parties that producers and consumers of electric power do not take into account in their decisions. The external costs include many different types of effects such as illness, ecosystem damage, and road damage. The solution to the problem of minimizing total cost is addressed in two steps. The first step uses damage function methods to establish a common metric for the weights of the different objectives (i.e., external costs). The damage function analysis also reduces the dimensionality of the analysis in the second step, and identifies criteria to include in that analysis. The second step uses multi-criteria decision methods. This analysis includes the most important externalities that the damage function analysis identifies and, in addition, potentially important factors that can not be quantified reliably using damage function methods. An example of the latter are the damages from global climate change. The two-step method that this paper describes addresses many of the limitations of the damage function method and multi-criteria methods, that arise when they are used separately. This linked method can be used by electric utilities for their integrated resource planning. It can also be adapted to other applications.

  13. Clean Electricity Initiatives in California

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

    Edward Randolph Director, Energy Division California Public Utilities Commission July 14, 2014 2014 EIA Energy Conference Clean Electricity Policy Initiatives In California (Partial) * Wholesale Renewables : - Renewables Portfolio Standard - Feet in Tariffs (RAM & ReMAT) - All source procurement (under development) * Customer Renewable Generation - California Solar Initiative - Net Energy Metering - Green Tariffs - Energy Efficiency - Demand Response - Rate Reform - Storage - Retirement of

  14. Category:Electricity Generating Technologies | Open Energy Information

    Open Energy Info (EERE)

    Electricity Generating Technologies Jump to: navigation, search Electricity Generating Technologies Subcategories This category has the following 5 subcategories, out of 5 total. B...

  15. Table N11.4. Expenditures for Purchased Electricity, Natural...

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

    Electricity, Natural Gas, and Steam, 1998;" " Level: National Data and Regional Totals; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, ...

  16. Real-time Pricing Demand Response in Operations

    SciTech Connect (OSTI)

    Widergren, Steven E.; Marinovici, Maria C.; Berliner, Teri; Graves, Alan

    2012-07-26

    AbstractóDynamic pricing schemes have been implemented in commercial and industrial application settings, and recently they are getting attention for application to residential customers. Time-of-use and critical-peak-pricing rates are in place in various regions and are being piloted in many more. These programs are proving themselves useful for balancing energy during peak periods; however, real-time (5 minute) pricing signals combined with automation in end-use systems have the potential to deliver even more benefits to operators and consumers. Besides system peak shaving, a real-time pricing system can contribute demand response based on the locational marginal price of electricity, reduce load in response to a generator outage, and respond to local distribution system capacity limiting situations. The US Department of Energy (DOE) is teaming with a mid-west electricity service provider to run a distribution feeder-based retail electricity market that negotiates with residential automation equipment and clears every 5 minutes, thus providing a signal for lowering or raising electric consumption based on operational objectives of economic efficiency and reliability. This paper outlines the capability of the real-time pricing system and the operational scenarios being tested as the system is rolled-out starting in the first half of 2012.

  17. Demand Response Performance of GE Hybrid Heat Pump Water Heater

    SciTech Connect (OSTI)

    Widder, Sarah H.; Parker, Graham B.; Petersen, Joseph M.; Baechler, Michael C.

    2013-07-01

    This report describes a project to evaluate and document the DR performance of HPWH as compared to ERWH for two primary types of DR events: peak curtailments and balancing reserves. The experiments were conducted with GE second-generation ‚ÄúBrillion‚ÄĚ-enabled GeoSpring hybrid water heaters in the PNNL Lab Homes, with one GE GeoSpring water heater operating in ‚ÄúStandard‚ÄĚ electric resistance mode to represent the baseline and one GE GeoSpring water heater operating in ‚ÄúHeat Pump‚ÄĚ mode to provide the comparison to heat pump-only demand response. It is expected that ‚ÄúHybrid‚ÄĚ DR performance, which would engage both the heat pump and electric elements, could be interpolated from these two experimental extremes. Signals were sent simultaneously to the two water heaters in the side-by-side PNNL Lab Homes under highly controlled, simulated occupancy conditions. This report presents the results of the evaluation, which documents the demand-response capability of the GE GeoSpring HPWH for peak load reduction and regulation services. The sections describe the experimental protocol and test apparatus used to collect data, present the baselining procedure, discuss the results of the simulated DR events for the HPWH and ERWH, and synthesize key conclusions based on the collected data.

  18. Summary Max Total Units

    Energy Savers [EERE]

    Summary Max Total Units *If All Splits, No Rack Units **If Only FW, AC Splits 1000 52 28 28 2000 87 59 35 3000 61 33 15 4000 61 33 15 Totals 261 153 93 ***Costs $1,957,500.00 $1,147,500.00 $697,500.00 Notes: added several refrigerants removed bins from analysis removed R-22 from list 1000lb, no Glycol, CO2 or ammonia Seawater R-404A only * includes seawater units ** no seawater units included *** Costs = (total units) X (estimate of $7500 per unit) 1000lb, air cooled split systems, fresh water

  19. Country/Continent Total

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

    peak kilowatts) Country/Continent Total Percent of U.S. total Africa 14,279 3.7 Asia/Australia 330,200 86.2 Europe 19,771 5.1 South/Central America 7,748 2.0 Canada 5,507 1.4 Mexico 5,747 1.5 Total 383,252 100.0 Table 8. Destination of photovoltaic module export shipments, 2013 Source: U.S. Energy Information Administration, Form EIA-63B, 'Annual Photovoltaic Cell/Module Shipments Report.'

  20. Issues in International Energy Consumption Analysis: Chinese Transportation Fuel Demand

    Reports and Publications (EIA)

    2014-01-01

    Since the 1990s, China has experienced tremendous growth in its transportation sector. By the end of 2010, China's road infrastructure had emerged as the second-largest transportation system in the world after the United States. Passenger vehicle sales are dramatically increasing from a little more than half a million in 2000, to 3.7 million in 2005, to 13.8 million in 2010. This represents a twenty-fold increase from 2000 to 2010. The unprecedented motorization development in China led to a significant increase in oil demand, which requires China to import progressively more petroleum from other countries, with its share of petroleum imports exceeding 50% of total petroleum demand since 2009. In response to growing oil import dependency, the Chinese government is adopting a broad range of policies, including promotion of fuel-efficient vehicles, fuel conservation, increasing investments in oil resources around the world, and many others.

  1. Demand Response Opportunities in Industrial Refrigerated Warehouses in California

    SciTech Connect (OSTI)

    Goli, Sasank; McKane, Aimee; Olsen, Daniel

    2011-06-14

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

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

    SciTech Connect (OSTI)

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

    2005-07-01

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

  3. Total Space Heat-

    Gasoline and Diesel Fuel Update (EIA)

    Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other...

  4. Autonomous Demand Response for Primary Frequency Regulation

    SciTech Connect (OSTI)

    Donnelly, Matt; Trudnowski, Daniel J.; Mattix, S.; Dagle, Jeffery E.

    2012-02-28

    The research documented within this report examines the use of autonomous demand response to provide primary frequency response in an interconnected power grid. The work builds on previous studies in several key areas: it uses a large realistic model (i.e., the interconnection of the western United States and Canada); it establishes a set of metrics that can be used to assess the effectiveness of autonomous demand response; and it independently adjusts various parameters associated with using autonomous demand response to assess effectiveness and to examine possible threats or vulnerabilities associated with the technology.

  5. FERC sees huge potential for demand response

    SciTech Connect (OSTI)

    2010-04-15

    The FERC study concludes that U.S. peak demand can be reduced by as much as 188 GW -- roughly 20 percent -- under the most aggressive scenario. More moderate -- and realistic -- scenarios produce smaller but still significant reductions in peak demand. The FERC report is quick to point out that these are estimates of the potential, not projections of what could actually be achieved. The main varieties of demand response programs include interruptible tariffs, direct load control (DLC), and a number of pricing schemes.

  6. Development and evaluation of fully automated demand response in large facilities

    SciTech Connect (OSTI)

    Piette, Mary Ann; Sezgen, Osman; Watson, David S.; Motegi, Naoya; Shockman, Christine; ten Hope, Laurie

    2004-03-30

    This report describes the results of a research project to develop and evaluate the performance of new Automated Demand Response (Auto-DR) hardware and software technology in large facilities. Demand Response (DR) is a set of activities to reduce or shift electricity use to improve electric grid reliability, manage electricity costs, and ensure that customers receive signals that encourage load reduction during times when the electric grid is near its capacity. The two main drivers for widespread demand responsiveness are the prevention of future electricity crises and the reduction of electricity prices. Additional goals for price responsiveness include equity through cost of service pricing, and customer control of electricity usage and bills. The technology developed and evaluated in this report could be used to support numerous forms of DR programs and tariffs. For the purpose of this report, we have defined three levels of Demand Response automation. Manual Demand Response involves manually turning off lights or equipment; this can be a labor-intensive approach. Semi-Automated Response involves the use of building energy management control systems for load shedding, where a preprogrammed load shedding strategy is initiated by facilities staff. Fully-Automated Demand Response is initiated at a building or facility through receipt of an external communications signal--facility staff set up a pre-programmed load shedding strategy which is automatically initiated by the system without the need for human intervention. We have defined this approach to be Auto-DR. An important concept in Auto-DR is that a facility manager is able to ''opt out'' or ''override'' an individual DR event if it occurs at a time when the reduction in end-use services is not desirable. This project sought to improve the feasibility and nature of Auto-DR strategies in large facilities. The research focused on technology development, testing, characterization, and evaluation relating to Auto-DR. This evaluation also included the related decisionmaking perspectives of the facility owners and managers. Another goal of this project was to develop and test a real-time signal for automated demand response that provided a common communication infrastructure for diverse facilities. The six facilities recruited for this project were selected from the facilities that received CEC funds for new DR technology during California's 2000-2001 electricity crises (AB970 and SB-5X).

  7. ARM - Measurement - Total carbon

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

    carbon ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Total carbon The total concentration of carbon in all its organic and non-organic forms. Categories Aerosols, Atmospheric Carbon Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including

  8. Assessing the Control Systems Capacity for Demand Response in California Industries

    SciTech Connect (OSTI)

    Ghatikar, Girish; McKane, Aimee; Goli, Sasank; Therkelsen, Peter; Olsen, Daniel

    2012-01-18

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

  9. A simple tool for estimating city-wide annual electrical energy...

    Office of Scientific and Technical Information (OSTI)

    We restrict this to the "indirect effect", the cooling of outside air that lessens the demand for air conditioning (AC). Given the power demand of the electric utilities and data ...

  10. Electrical utilities model for determining electrical distribution capacity

    SciTech Connect (OSTI)

    Fritz, R. L.

    1997-09-03

    In its simplest form, this model was to obtain meaningful data on the current state of the Site`s electrical transmission and distribution assets, and turn this vast collection of data into useful information. The resulting product is an Electrical Utilities Model for Determining Electrical Distribution Capacity which provides: current state of the electrical transmission and distribution systems; critical Hanford Site needs based on outyear planning documents; decision factor model. This model will enable Electrical Utilities management to improve forecasting requirements for service levels, budget, schedule, scope, and staffing, and recommend the best path forward to satisfy customer demands at the minimum risk and least cost to the government. A dynamic document, the model will be updated annually to reflect changes in Hanford Site activities.

  11. The Role of Demand Response in Default Service Pricing

    SciTech Connect (OSTI)

    Barbose, Galen; Goldman, Charles; Neenan, Bernie

    2005-11-09

    Dynamic retail pricing, especially real-time pricing (RTP), has been widely heralded as a panacea for providing much-needed demand response in electricity markets. However, in designing default service for competitive retail markets, demand response has been an afterthought, and in some cases not given any weight at all. But that may be changing, as states that initiated customer choice in the past 5-7 years reach an important juncture in retail market design. Most states with retail choice established an initial transitional period during which utilities were required to offer a default or standard offer generation service, often at a capped or otherwise administratively-determined rate. Many retail choice states have reached the end of their transitional period, and several have adopted or are actively considering an RTP-type default service for large commercial and industrial (C&I) customers. In most cases, the primary reason for adopting RTP as the default service has been to advance policy objectives related to the development of competitive retail markets. However, if attention is paid in its design and implementation, default RTP service can also provide a solid foundation for developing price responsive demand, creating an important link between wholesale and retail market transactions. This article, which draws from a lengthier report, describes experience to date with RTP as a default service, focusing on its role as an instrument for cultivating price responsive demand.1 As of summer 2005, default service RTP was in place or approved for future implementation in five U.S. states: New Jersey, Maryland, Pennsylvania, New York, and Illinois. For each of these states, we conducted a detailed review of the regulatory proceedings leading to adoption of default RTP and interviewed regulatory staff and utilities in these states, as well as eight competitive retail suppliers active in these markets.

  12. Total Space Heat-

    Gasoline and Diesel Fuel Update (EIA)

    ... 50.0 2.6 7.1 5.2 1.9 17.7 0.3 5.7 1.2 2.4 5.8 Other Excluding Electricity ... 52.4 1.3 6.4 7.9 (*) 20.5 0.4 6.2 1.0 2.7 6.0 Bldgs without Water...

  13. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    California Renewable Electricity Profile 2010 California full profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 67,328 100.0 Total Net Summer Renewable Capacity 16,460 24.4 Geothermal 2,004 3.0 Hydro Conventional 10,141 15.1 Solar 475 0.7 Wind 2,812 4.2 Wood/Wood

  14. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    York Renewable Electricity Profile 2010 New York profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 39,357 100.0 Total Net Summer Renewable Capacity 6,033 15.3 Geothermal - - Hydro Conventional 4,314 11.0 Solar - - Wind 1,274 3.2 Wood/Wood Waste 86 0.2

  15. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Ohio Renewable Electricity Profile 2010 Ohio profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 33,071 100.0 Total Net Summer Renewable Capacity 231 0.7 Geothermal - - Hydro Conventional 101 0.3 Solar 13 * Wind 7 * Wood/Wood Waste 60 0.2 MSW/Landfill Gas 48 0.1

  16. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Oklahoma Renewable Electricity Profile 2010 Oklahoma profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,022 100.0 Total Net Summer Renewable Capacity 2,412 11.5 Geothermal - - Hydro Conventional 858 4.1 Solar - - Wind 1,480 7.0 Wood/Wood Waste 58 0.3 MSW/Landfill Gas 16 0.1 Other Biomass

  17. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Oregon Renewable Electricity Profile 2010 Oregon profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 14,261 100.0 Total Net Summer Renewable Capacity 10,684 74.9 Geothermal - - Hydro Conventional 8,425 59.1 Solar - - Wind 2,004 14.1 Wood/Wood Waste 221 1.6

  18. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Texas Renewable Electricity Profile 2010 Texas profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 108,258 100.0 Total Net Summer Renewable Capacity 10,985 10.1 Geothermal - - Hydro Conventional 689 0.6 Solar 14 * Wind 9,952 9.2 Wood/Wood Waste 215 0.2 MSW/Landfill Gas 88 0.1 Other Biomass 28

  19. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    United States Renewable Electricity Profile 2010 United States profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,039,137 100.0 Total Net Summer Renewable Capacity 132,711 12.8 Geothermal 2,405 0.2 Hydro Conventional 78,825 7.6 Solar 941 0.1 Wind 39,135 3.8

  20. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Washington Renewable Electricity Profile 2010 Washington profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 30,478 100.0 Total Net Summer Renewable Capacity 23,884 78.4 Geothermal - - Hydro Conventional 21,181 69.5 Solar 1 * Wind 2,296 7.5 Wood/Wood Waste 368 1.2

  1. EIA - Renewable Electricity State Profiles

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

    California Renewable Electricity Profile 2010 California full profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 67,328 100.0 Total Net Summer Renewable Capacity 16,460 24.4 Geothermal 2,004 3.0 Hydro Conventional 10,141 15.1 Solar 475 0.7 Wind 2,812 4.2 Wood/Wood

  2. EIA - Renewable Electricity State Profiles

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

    Colorado Renewable Electricity Profile 2010 Colorado profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 13,777 100.0 Total Net Summer Renewable Capacity 2,010 14.6 Geothermal - - Hydro Conventional 662 4.8 Solar 41 0.3 Wind 1,294 9.4 Wood/Wood Waste - - MSW/Landfill Gas 3 * Other Biomass 10

  3. EIA - Renewable Electricity State Profiles

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

    Florida Renewable Electricity Profile 2010 Florida profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 59,222 100.0 Total Net Summer Renewable Capacity 1,182 2.0 Geothermal - - Hydro Conventional 55 0.1 Solar 123 0.2 Wind - - Wood/Wood Waste 344 0.6

  4. EIA - Renewable Electricity State Profiles

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

    Hawaii Renewable Electricity Profile 2010 Hawaii profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Other Biomass Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 2,536 100.0 Total Net Summer Renewable Capacity 340 13.4 Geothermal 31 1.2 Hydro Conventional 24 0.9 Solar 2 0.1 Wind 62 2.4 Wood/Wood Waste - - MSW/Landfill Gas 60 2.4 Other Biomass

  5. EIA - Renewable Electricity State Profiles

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

    Idaho Renewable Electricity Profile 2010 Idaho profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,990 100.0 Total Net Summer Renewable Capacity 3,140 78.7 Geothermal 10 0.3 Hydro Conventional 2,704 67.8 Solar - - Wind 352 8.8 Wood/Wood Waste 68 1.7 MSW/Landfill

  6. EIA - Renewable Electricity State Profiles

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

    Illinois Renewable Electricity Profile 2010 Illinois profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 44,127 100.0 Total Net Summer Renewable Capacity 2,112 4.8 Geothermal - - Hydro Conventional 34 0.1 Solar 9 * Wind 1,946 4.4 Wood/Wood Waste - - MSW/Landfill Gas 123 0.3 Other Biomass - -

  7. EIA - Renewable Electricity State Profiles

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

    Indiana Renewable Electricity Profile 2010 Indiana profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 27,638 100.0 Total Net Summer Renewable Capacity 1,452 5.3 Geothermal - - Hydro Conventional 60 0.2 Solar - - Wind 1,340 4.8 Wood/Wood Waste - - MSW/Landfill Gas 53 0.2 Other Biomass s *

  8. EIA - Renewable Electricity State Profiles

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

    Iowa Renewable Electricity Profile 2010 Iowa profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 14,592 100.0 Total Net Summer Renewable Capacity 3,728 25.5 Geothermal - - Hydro Conventional 144 1.0 Solar - - Wind 3,569 24.5 Wood/Wood Waste - - MSW/Landfill Gas 11 0.1 Other Biomass 3 *

  9. EIA - Renewable Electricity State Profiles

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

    Maine Renewable Electricity Profile 2010 Maine profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 4,430 100.0 Total Net Summer Renewable Capacity 1,692 38.2 Geothermal - - Hydro Conventional 738 16.6 Solar - - Wind 263 5.9 Wood/Wood Waste 600 13.6 MSW/Landfill Gas

  10. EIA - Renewable Electricity State Profiles

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

    Michigan Renewable Electricity Profile 2010 Michigan profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 29,831 100.0 Total Net Summer Renewable Capacity 807 2.7 Geothermal - - Hydro Conventional 237 0.8 Solar - - Wind 163 0.5 Wood/Wood Waste 232 0.8 MSW/Landfill Gas

  11. EIA - Renewable Electricity State Profiles

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

    Minnesota Renewable Electricity Profile 2010 Minnesota profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 14,715 100.0 Total Net Summer Renewable Capacity 2,588 17.6 Geothermal - - Hydro Conventional 193 1.3 Solar - - Wind 2,009 13.7 Wood/Wood Waste 177 1.2 MSW/Landfill Gas 134 0.9 Other

  12. EIA - Renewable Electricity State Profiles

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

    Nevada Renewable Electricity Profile 2010 Nevada profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 11,421 100.0 Total Net Summer Renewable Capacity 1,507 13.2 Geothermal 319 2.8 Hydro Conventional 1,051 9.2 Solar 137 1.2 Wind - - Wood/Wood Waste - - MSW/Landfill

  13. EIA - Renewable Electricity State Profiles

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

    Mexico Renewable Electricity Profile 2010 New Mexico profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 8,130 100.0 Total Net Summer Renewable Capacity 818 10.1 Geothermal - - Hydro Conventional 82 1.0 Solar 30 0.4 Wind 700 8.6 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass 6 0.1

  14. EIA - Renewable Electricity State Profiles

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

    York Renewable Electricity Profile 2010 New York profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 39,357 100.0 Total Net Summer Renewable Capacity 6,033 15.3 Geothermal - - Hydro Conventional 4,314 11.0 Solar - - Wind 1,274 3.2 Wood/Wood Waste 86 0.2

  15. EIA - Renewable Electricity State Profiles

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

    Dakota Renewable Electricity Profile 2010 North Dakota profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 6,188 100.0 Total Net Summer Renewable Capacity 1,941 31.4 Geothermal - - Hydro Conventional 508 8.2 Solar - - Wind 1,423 23.0 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass 10

  16. EIA - Renewable Electricity State Profiles

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

    Ohio Renewable Electricity Profile 2010 Ohio profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 33,071 100.0 Total Net Summer Renewable Capacity 231 0.7 Geothermal - - Hydro Conventional 101 0.3 Solar 13 * Wind 7 * Wood/Wood Waste 60 0.2 MSW/Landfill Gas 48 0.1

  17. EIA - Renewable Electricity State Profiles

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

    Oklahoma Renewable Electricity Profile 2010 Oklahoma profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,022 100.0 Total Net Summer Renewable Capacity 2,412 11.5 Geothermal - - Hydro Conventional 858 4.1 Solar - - Wind 1,480 7.0 Wood/Wood Waste 58 0.3 MSW/Landfill Gas 16 0.1 Other Biomass

  18. EIA - Renewable Electricity State Profiles

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

    Oregon Renewable Electricity Profile 2010 Oregon profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 14,261 100.0 Total Net Summer Renewable Capacity 10,684 74.9 Geothermal - - Hydro Conventional 8,425 59.1 Solar - - Wind 2,004 14.1 Wood/Wood Waste 221 1.6

  19. EIA - Renewable Electricity State Profiles

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

    Texas Renewable Electricity Profile 2010 Texas profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 108,258 100.0 Total Net Summer Renewable Capacity 10,985 10.1 Geothermal - - Hydro Conventional 689 0.6 Solar 14 * Wind 9,952 9.2 Wood/Wood Waste 215 0.2 MSW/Landfill Gas 88 0.1 Other Biomass 28

  20. EIA - Renewable Electricity State Profiles

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

    Utah Renewable Electricity Profile 2010 Utah profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 7,497 100.0 Total Net Summer Renewable Capacity 528 7.0 Geothermal 42 0.6 Hydro Conventional 255 3.4 Solar - - Wind 222 3.0 Wood/Wood Waste - - MSW/Landfill Gas 9 0.1

  1. EIA - Renewable Electricity State Profiles

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

    Washington Renewable Electricity Profile 2010 Washington profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 30,478 100.0 Total Net Summer Renewable Capacity 23,884 78.4 Geothermal - - Hydro Conventional 21,181 69.5 Solar 1 * Wind 2,296 7.5 Wood/Wood Waste 368 1.2

  2. EIA - Renewable Electricity State Profiles

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

    United States Renewable Electricity Profile 2010 United States profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,039,137 100.0 Total Net Summer Renewable Capacity 132,711 12.8 Geothermal 2,405 0.2 Hydro Conventional 78,825 7.6 Solar 941 0.1 Wind 39,135 3.8

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

    SciTech Connect (OSTI)

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

    2008-05-15

    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.

  4. Potential Impacts of Plug-in Hybrid Electric Vehicles on Regional Power Generation

    SciTech Connect (OSTI)

    Hadley, Stanton W; Tsvetkova, Alexandra A

    2008-01-01

    Plug-in hybrid electric vehicles (PHEVs) are being developed around the world, with much work aiming to optimize engine and battery for efficient operation, both during discharge and when grid electricity is available for recharging. However, the general expectation has been that the grid will not be greatly affected by the use of PHEVs because the recharging will occur during off-peak hours, or the number of vehicles will grow slowly enough so that capacity planning will respond adequately. This expectation does not consider that drivers will control the timing of recharging, and their inclination will be to plug in when convenient, rather than when utilities would prefer. It is important to understand the ramifications of adding load from PHEVs onto the grid. Depending on when and where the vehicles are plugged in, they could cause local or regional constraints on the grid. They could require the addition of new electric capacity and increase the utilization of existing capacity. Usage patterns of local distribution grids will change, and some lines or substations may become overloaded sooner than expected. Furthermore, the type of generation used to meet the demand for recharging PHEVs will depend on the region of the country and the timing of recharging. This paper analyzes the potential impacts of PHEVs on electricity demand, supply, generation structure, prices, and associated emission levels in 2020 and 2030 in 13 regions specified by the North American Electric Reliability Corporation (NERC) and the U.S. Department of Energy's (DOE's) Energy Information Administration (EIA), and on which the data and analysis in EIA's Annual Energy Outlook 2007 are based (Figure ES-1). The estimates of power plant supplies and regional hourly electricity demand come from publicly available sources from EIA and the Federal Energy Regulatory Commission. Electricity requirements for PHEVs are based on analysis from the Electric Power Research Institute, with an optimistic projection of 25% market penetration by 2020, involving a mixture of sedans and sport utility vehicles. The calculations were done using the Oak Ridge Competitive Electricity Dispatch (ORCED) model, a model developed over the past 12 years to evaluate a wide variety of critical electricity sector issues. Seven scenarios were run for each region for 2020 and 2030, for a total of 182 scenarios. In addition to a base scenario of no PHEVs, the authors modeled scenarios assuming that vehicles were either plugged in starting at 5:00 p.m. (evening) or at 10:00 p.m.(night) and left until fully charged. Three charging rates were examined: 120V/15A (1.4 kW), 120V/20A (2 kW), and 220V/30A (6 kW). Most regions will need to build additional capacity or utilize demand response to meet the added demand from PHEVs in the evening charging scenarios, especially by 2030 when PHEVs have a larger share of the installed vehicle base and make a larger demand on the system. The added demands of evening charging, especially at high power levels, can impact the overall demand peaks and reduce the reserve margins for a region's system. Night recharging has little potential to influence peak loads, but will still influence the amount and type of generation.

  5. Electric sales and revenue: 1993

    SciTech Connect (OSTI)

    Not Available

    1995-01-01

    The Electric Sales and Revenue is prepared by the Survey Management Division, Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. This publication provides information about sales of electricity, its associated revenue, and the average revenue per kilowatthour sold to residential, commercial, industrial, and other consumers throughout the United States. The sales, revenue, and average revenue per kilowatthour data provided in the Electric Sales and Revenue are based on annual data reported by electric utilities for the calendar year ending December 31, 1993. Operating revenue includes energy charges, demand charges, consumer service charges, environmental surcharges, fuel adjustments, and other miscellaneous charges. The revenue does not include taxes, such as sales and excise taxes, that are assessed on the consumer and collected through the utility. Average revenue per kilowatthour is defined as the cost per unit of electricity sold and is calculated by dividing retail sales into the associated electric revenue. Because electric rates vary based on energy usage, average revenue per kilowatthour are affected by changes in the volume of sales. The sales of electricity, associated revenue, and average revenue per kilowatthour data provided in this report are presented at the national, Census division, State, and electric utility levels.

  6. Next Update: December 2011 Net Internal Demand

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

    Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) 2005 746,470 882,125 15.4 45,950 50,200 8.5 38,266 46,792 18.2 57,402 72,258 20.6 2006 760,108 906,155 16.1 43,824 53,171 17.6 41,754 49,792 16.1 59,727 70,607 15.4 2007 768,061 946,631 18.9 46,434

  7. SAN ANTONIO SPURS DEMAND FOR ENERGY EFFICIENCY

    Broader source: Energy.gov [DOE]

    As a city that experiences seasonal spikes in energy demand and accompanying energy bills, San Antonio, Texas, wanted to help homeowners and businesses reduce their energy use and save on energy...

  8. Solar in Demand | Department of Energy

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

    In case you missed it... This week, the Wall Street Journal published an article, "U.S. Solar-Panel Demand Expected to Double," highlighting the successes of the U.S. solar ...

  9. Global Energy: Supply, Demand, Consequences, Opportunities

    ScienceCinema (OSTI)

    Majumdar, Arun

    2010-01-08

    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.

  10. The impact of demand-controlled ventilation on energy use in buildings

    SciTech Connect (OSTI)

    Braun, J.E.; Brandemuehl, M.J.

    1999-07-01

    The overall objective of this work was to evaluate typical energy requirements associated with alternative ventilation control strategies. The strategies included different combinations of economizer and demand-controlled ventilation controls and energy analyses were performed for a range of typical buildings, systems, and climates. Only single zone buildings were considered, so that simultaneous heating and cooling did not exist. The energy savings associated with economizer and demand-controlled ventilation strategies were found to be very significant for both heating and cooling. In general, the greatest savings in electrical usage for cooling with the addition of demand-controlled ventilation occur in situations where the opportunities for economizer cooling are less. This is true for warm and humid climates, and for buildings that have low relative internal gains (i.e., low occupant densities). As much as 10% savings in electrical energy for cooling were possible with demand-controlled ventilation. The savings in heating energy associated with demand-controlled ventilation were generally much larger, but were strongly dependent upon the occupancy schedule. Significantly greater savings were found for buildings with highly variable occupancy schedules (e.g., stores and restaurants) as compared with office buildings. In some cases, the primary heating energy was reduced by a factor of 10 with demand-controlled ventilation as compared with fixed ventilation rates.

  11. South Dakota Renewable Electric Power Industry Statistics

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

    Dakota Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,623 100.0 Total Net Summer Renewable Capacity 2,223 61.3 Geothermal - - Hydro Conventional 1,594 44.0 Solar - - Wind 629 17.3 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 10,050 100.0 Total

  12. Mississippi Renewable Electric Power Industry Statistics

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

    Mississippi Primary Renewable Energy Capacity Source Wood/Wood Waste Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 15,691 100.0 Total Net Summer Renewable Capacity 235 1.5 Geothermal - - Hydro Conventional - - Solar - - Wind - - Wood/Wood Waste 235 1.5 MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 54,487 100.0 Total Renewable Net

  13. Missouri Renewable Electric Power Industry Statistics

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

    Missouri Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,739 100.0 Total Net Summer Renewable Capacity 1,030 4.7 Geothermal - - Hydro Conventional 564 2.6 Solar - - Wind 459 2.1 Wood/Wood Waste - - MSW/Landfill Gas 8 * Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 92,313 100.0 Total Renewable

  14. Montana Renewable Electric Power Industry Statistics

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

    Montana Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 5,866 100.0 Total Net Summer Renewable Capacity 3,085 52.6 Geothermal - - Hydro Conventional 2,705 46.1 Solar - - Wind 379 6.5 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 29,791 100.0 Total

  15. Alabama Renewable Electric Power Industry Statistics

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

    Alabama Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 32,417 100.0 Total Net Summer Renewable Capacity 3,855 11.9 Geothermal - - Hydro Conventional 3,272 10.1 Solar - - Wind - - Wood/Wood Waste 583 1.8 MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 152,151 100.0 Total

  16. Alaska Renewable Electric Power Industry Statistics

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

    Alaska Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 2,067 100.0 Total Net Summer Renewable Capacity 422 20.4 Geothermal - - Hydro Conventional 414 20.1 Solar - - Wind 7 0.4 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 6,760 100.0 Total Renewable Net

  17. West Virginia Renewable Electric Power Industry Statistics

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

    West Virginia Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 16,495 100.0 Total Net Summer Renewable Capacity 715 4.3 Geothermal - - Hydro Conventional 285 1.7 Solar - - Wind 431 2.6 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 80,789 100.0 Total Renewable Net

  18. Modeling Framework and Validation of a Smart Grid and Demand Response System for Wind Power Integration

    SciTech Connect (OSTI)

    Broeer, Torsten; Fuller, Jason C.; Tuffner, Francis K.; Chassin, David P.; Djilali, Ned

    2014-01-31

    Electricity generation from wind power and other renewable energy sources is increasing, and their variability introduces new challenges to the power system. The emergence of smart grid technologies in recent years has seen a paradigm shift in redefining the electrical system of the future, in which controlled response of the demand side is used to balance fluctuations and intermittencies from the generation side. This paper presents a modeling framework for an integrated electricity system where loads become an additional resource. The agent-based model represents a smart grid power system integrating generators, transmission, distribution, loads and market. The model incorporates generator and load controllers, allowing suppliers and demanders to bid into a Real-Time Pricing (RTP) electricity market. The modeling framework is applied to represent a physical demonstration project conducted on the Olympic Peninsula, Washington, USA, and validation simulations are performed using actual dynamic data. Wind power is then introduced into the power generation mix illustrating the potential of demand response to mitigate the impact of wind power variability, primarily through thermostatically controlled loads. The results also indicate that effective implementation of Demand Response (DR) to assist integration of variable renewable energy resources requires a diversity of loads to ensure functionality of the overall system.

  19. Summary of Characteristics and Energy Efficiency Demand-side Management Programs in the Southeastern United States

    SciTech Connect (OSTI)

    Glatt, Sandy

    2010-04-01

    This report is the first in a series that seeks to characterize energy supply and industrial sector energy consumption, and summarize successful industrial demand-side management (DSM) programs within each of the eight North American Electric Reliability Corporation (NERC) regions.

  20. Total DOE/NNSA

    National Nuclear Security Administration (NNSA)

    8 Actuals 2009 Actuals 2010 Actuals 2011 Actuals 2012 Actuals 2013 Actuals 2014 Actuals 2015 Actuals Total DOE/NNSA 4,385 4,151 4,240 4,862 5,154 5,476 7,170 7,593 Total non-NNSA 3,925 4,017 4,005 3,821 3,875 3,974 3,826 3765 Total Facility 8,310 8,168 8,245 8,683 9,029 9,450 10,996 11,358 non-NNSA includes DOE offices and Strategic Parternship Projects (SPP) employees NNSA M&O Employee Reporting

  1. National Rural Electric Cooperative Association Smart Grid Demonstrati...

    Open Energy Info (EERE)

    will be centralized for all sites and include studies on total demand, distributed energy resources, peak pricing, customer appliance control, and self-healing technologies for...

  2. Minnesota Total Electric Power Industry Net Summer Capacity,...

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

    Minnesota" "Energy Source",2006,2007,2008,2009,2010 "Fossil",9714,9550,10548,10752,10519 " Coal",5444,5207,5235,4826,4789 " Petroleum",746,764,782,801,795 " Natural ...

  3. Minnesota Total Electric Power Industry Net Generation, by Energy...

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

    Minnesota" "Energy Source",2006,2007,2008,2009,2010 "Fossil",36125,36463,34879,32263,32454 " Coal",33070,32190,31755,29327,28083 " Petroleum",494,405,232,65,31 " Natural ...

  4. "Table A46. Total Expenditures for Purchased Electricity,...

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

    ..."W","*",0,"W",49,5,26,11.7 3331," Primary Copper","W",0,0,0,"W","W","W",1.4 3334," Primary ...,25,0,0,0,"W","W","Q",20.1 3331," Primary Copper","W",0,0,0,"*",0,"*",1.3 3334," Primary ...

  5. Ohio Total Electric Power Industry Net Generation, by Energy Source

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

    Ohio" "Energy Source",2006,2007,2008,2009,2010 "Fossil",137494,138543,134878,119712,126652 " Coal",133400,133131,130694,113712,117828 " Petroleum",1355,1148,1438,1312,1442 " Natural Gas",2379,3975,2484,4650,7128 " Other Gases",360,289,261,37,254 "Nuclear",16847,15764,17514,15206,15805 "Renewables",1091,846,1010,1161,1129 "Pumped

  6. Oklahoma Total Electric Power Industry Net Generation, by Energy Source

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

    Oklahoma" "Energy Source",2006,2007,2008,2009,2010 "Fossil",68093,67765,70122,68700,65435 " Coal",35032,34438,36315,34059,31475 " Petroleum",64,160,23,9,18 " Natural Gas",32981,33144,33774,34631,33942 " Other Gases",16,22,10,"-","-" "Nuclear","-","-","-","-","-" "Renewables",2633,5195,6362,6482,6969 "Pumped

  7. Oregon Total Electric Power Industry Net Generation, by Energy Source

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

    Oregon" "Energy Source",2006,2007,2008,2009,2010 "Fossil",13621,19224,21446,19338,19781 " Coal",2371,4352,4044,3197,4126 " Petroleum",12,14,15,8,3 " Natural Gas",11239,14858,17387,16133,15651 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-" "Renewables",39679,35816,37228,37306,35299 "Pumped

  8. Pennsylvania Total Electric Power Industry Net Generation, by Energy Source

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

    Pennsylvania" "Energy Source",2006,2007,2008,2009,2010 "Fossil",138173,143909,137862,136047,145210 " Coal",122558,122693,117583,105475,110369 " Petroleum",1518,1484,938,915,571 " Natural Gas",13542,19198,18731,29215,33718 " Other Gases",554,534,610,443,552 "Nuclear",75298,77376,78658,77328,77828 "Renewables",5317,4782,5353,6035,6577 "Pumped Storage",-698,-723,-354,-731,-708

  9. Louisiana Total Electric Power Industry Net Generation, by Energy Source

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

    Louisiana" "Energy Source",2006,2007,2008,2009,2010 "Fossil",69795,71028,72850,70155,80110 " Coal",24395,23051,24100,23067,23924 " Petroleum",1872,2251,2305,1858,3281 " Natural Gas",41933,43915,45344,44003,51344 " Other Gases",1595,1811,1101,1227,1561 "Nuclear",16735,17078,15371,16782,18639 "Renewables",3676,3807,3774,3600,3577 "Pumped

  10. Maine Total Electric Power Industry Net Generation, by Energy Source

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

    Maine" "Energy Source",2006,2007,2008,2009,2010 "Fossil",8214,7869,8264,7861,8733 " Coal",321,376,352,72,87 " Petroleum",595,818,533,433,272 " Natural Gas",7298,6675,7380,7355,8374 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-" "Renewables",8246,7945,8515,8150,7963 "Pumped

  11. Maryland Total Electric Power Industry Net Generation, by Energy Source

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

    Maryland" "Energy Source",2006,2007,2008,2009,2010 "Fossil",32091,33303,29810,26529,27102 " Coal",29408,29699,27218,24162,23668 " Petroleum",581,985,406,330,322 " Natural Gas",1770,2241,1848,1768,2897 " Other Gases",332,378,338,269,215 "Nuclear",13830,14353,14679,14550,13994 "Renewables",2730,2256,2587,2440,2241 "Pumped Storage","-","-","-","-","-"

  12. Massachusetts Total Electric Power Industry Net Generation, by Energy Source

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

    Massachusetts" "Energy Source",2006,2007,2008,2009,2010 "Fossil",36773,40001,34251,30913,34183 " Coal",11138,12024,10629,9028,8306 " Petroleum",2328,3052,2108,897,296 " Natural Gas",23307,24925,21514,20988,25582 " Other Gases","-","-","-","-","-" "Nuclear",5830,5120,5869,5396,5918 "Renewables",2791,2038,2411,2430,2270 "Pumped

  13. Michigan Total Electric Power Industry Net Generation, by Energy Source

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

    Michigan" "Energy Source",2006,2007,2008,2009,2010 "Fossil",80004,84933,80179,75869,78535 " Coal",67780,70811,69855,66848,65604 " Petroleum",402,699,458,399,382 " Natural Gas",11410,13141,9602,8420,12249 " Other Gases",412,282,264,203,299 "Nuclear",29066,31517,31484,21851,29625 "Renewables",3963,3687,3956,3995,4083 "Pumped Storage",-1039,-1129,-916,-857,-1023 "Other",563,303,286,344,332

  14. Mississippi Total Electric Power Industry Net Generation, by Energy Source

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

    Mississippi" "Energy Source",2006,2007,2008,2009,2010 "Fossil",34254,39184,37408,36266,43331 " Coal",18105,17407,16683,12958,13629 " Petroleum",399,399,76,17,81 " Natural Gas",15706,21335,20607,23267,29619 " Other Gases",44,42,40,25,2 "Nuclear",10419,9359,9397,10999,9643 "Renewables",1541,1493,1391,1424,1504 "Pumped Storage","-","-","-","-","-"

  15. Missouri Total Electric Power Industry Net Generation, by Energy Source

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

    Missouri" "Energy Source",2006,2007,2008,2009,2010 "Fossil",81245,80127,78788,75122,79870 " Coal",77450,75084,73532,71611,75047 " Petroleum",61,60,57,88,126 " Natural Gas",3729,4979,5196,3416,4690 " Other Gases",5,3,3,7,7 "Nuclear",10117,9372,9379,10247,8996 "Renewables",223,1234,2293,2391,2527 "Pumped Storage",48,383,545,567,888 "Other",54,37,24,27,32

  16. Montana Total Electric Power Industry Net Generation, by Energy Source

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

    Montana" "Energy Source",2006,2007,2008,2009,2010 "Fossil",17583,18960,18822,16181,19068 " Coal",17085,18357,18332,15611,18601 " Petroleum",419,479,419,490,409 " Natural Gas",68,106,66,78,57 " Other Gases",11,19,6,1,2 "Nuclear","-","-","-","-","-" "Renewables",10661,9971,10704,10422,10442 "Pumped

  17. Nebraska Total Electric Power Industry Net Generation, by Energy Source

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

    Nebraska" "Energy Source",2006,2007,2008,2009,2010 "Fossil",21461,20776,22273,23684,23769 " Coal",20683,19630,21480,23350,23363 " Petroleum",19,36,35,23,31 " Natural Gas",759,1110,758,312,375 " Other Gases","-","-","-","-","-" "Nuclear",9003,11042,9479,9435,11054 "Renewables",1207,625,622,883,1807 "Pumped

  18. Nevada Total Electric Power Industry Net Generation, by Energy Source

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

    Nevada" "Energy Source",2006,2007,2008,2009,2010 "Fossil",28459,29370,31801,33436,30702 " Coal",7254,7091,7812,7540,6997 " Petroleum",17,11,14,16,11 " Natural Gas",21184,22263,23972,25878,23688 " Other Gases",4,4,2,2,6 "Nuclear","-","-","-","-","-" "Renewables",3401,3300,3289,4269,4444 "Pumped

  19. "Table A48. Total Expenditures for Purchased Electricity,...

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

    by Type of Supplier, Census Region, and Economic Characteristics of the" " Establishment, ...,"Utility","Transmission","Other","Row" "Economic Characteristics(a)","Supplier(b)","Suppl...

  20. Delaware Total Electric Power Industry Net Summer Capacity, by...

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

    Delaware" "Energy Source",2006,2007,2008,2009,2010 "Fossil",3367,3350,3344,3355,3379 " ... "Renewables",7,7,7,7,10 "Pumped Storage","-","-","-","-","-" ...