National Library of Energy BETA

Sample records for residential demand assumes

  1. 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.

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

    SciTech Connect (OSTI)

    2009-01-18

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

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

    E-Print Network [OSTI]

    Letschert, Virginie

    2010-01-01

    2007). Coping with Residential Electricity Demand in India'sResidential Electricity Demand in China –Can EfficiencyBoom of Electricity Demand in the residential sector in the

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

    E-Print Network [OSTI]

    Letschert, Virginie

    2010-01-01

    with Residential Electricity Demand in India's Future - How2008). The Boom of Electricity Demand in the residential2005). Forecasting Electricity Demand in Developing

  5. Modeling Energy Demand Aggregators for Residential Consumers

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Modeling Energy Demand Aggregators for Residential Consumers G. Di Bella, L. Giarr`e, M. Ippolito, A. Jean-Marie, G. Neglia and I. Tinnirello § January 2, 2014 Abstract Energy demand aggregators- response paradigm. When the energy provider needs to reduce the current energy demand on the grid, it can

  6. Public goods and private interests: Understanding non-residential demand for green power

    E-Print Network [OSTI]

    Wiser, Ryan H.; Fowlie, Meredith; Holt, Edward A.

    2001-01-01

    Understanding Non-Residential Demand for Green PowerUnderstanding Non-Residential Demand for Green Power Vining,Understanding Non-Residential Demand for Green Power Kasius,

  7. Unobservables in Consumer Choice: Residential Energy and the Demand for Comfort

    E-Print Network [OSTI]

    Quigley, John M.; Rubinfeld, Daniel L.

    1987-01-01

    and the Derived Demand for Residential Energy," Randhave examined the demand for residential energy viewingconsidered the derived demand for residential energy as an

  8. California DREAMing: the design of residential demand responsive technology with people in mind

    E-Print Network [OSTI]

    Peffer, Therese E.

    2009-01-01

    majority of existing residential demand response programs inas evidence that residential demand response can “empowerthat facilitates residential demand response in order to

  9. Abstract --Most logistics network design models assume exogenous customer demand that is independent of the service

    E-Print Network [OSTI]

    Graves, Stephen C.

    Abstract -- Most logistics network design models assume exogenous customer demand for the network design decision making process. Index Terms -- Logistics Network Design, Demand Classes, Benefits. In most logistics network design models, the customer demand is exogenous and defined as a uniform

  10. Consumer Targeting in Residential Demand Response James C. Holyhead

    E-Print Network [OSTI]

    Molinari, Marc

    Consumer Targeting in Residential Demand Response Programmes James C. Holyhead Agents, Interaction and Computer Science University of Southampton, UK acr@ecs.soton.ac.uk ABSTRACT Demand response refers. In this paper we propose a novel approach to residential demand response, in which incentives are targeted

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

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2008-01-01

    ABORATORY Japan’s Residential Energy Demand Outlook to 2030o r n i a Japan’s Residential Energy Demand Outlook to 2030outlook of Japan’s residential energy demand, developed by a

  12. Public goods and private interests: Understanding non-residential demand for green power

    E-Print Network [OSTI]

    Wiser, Ryan H.; Fowlie, Meredith; Holt, Edward A.

    2001-01-01

    Residential Demand for Green Power References Andreoni, J.Approach to Marketing Green Power. ” Research Report No. 8.Residential Demand for Green Power Vining, J. , Linn, N. ,

  13. The residential demand for electricity in New England,

    E-Print Network [OSTI]

    Levy, Paul F.

    1973-01-01

    The residential demand for electricity, studied on the national level for many years, is here investigated on the regional level. A survey of the literature is first presented outlining past econometric work in the field ...

  14. 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)

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

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2008-01-01

    developed a residential energy demand forecast for 2030, theIn order to forecast energy service demand based on energy

  16. New generation of software? Modeling of energy demands for residential ventilation with HTML interface

    E-Print Network [OSTI]

    Forowicz, T

    1997-01-01

    New generation of software? Modeling of energy demands for residential ventilation with HTML interface

  17. Control Mechanisms for Residential Electricity Demand in SmartGrids

    E-Print Network [OSTI]

    Snyder, Larry

    Email: lvs2@lehigh.edu Abstract--We consider mechanisms to optimize electricity consumption both within subscription plan. Such methods for controlling electricity consumption are part of demand response, whichControl Mechanisms for Residential Electricity Demand in SmartGrids Shalinee Kishore Department

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

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2008-01-01

    2006. “Japan Long-Term Energy Outlook -A Projection up todescribes the residential energy outlook in Japan to 2030.s Residential Energy Demand Outlook to 2030 Considering

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

    E-Print Network [OSTI]

    in Energy Economics, SEEC, University of Surrey, UK, 2010; the 11th IAEE European Conference, Vilnius strategy. One of the Department of Energy's missions are to promote energy efficiency to help the NationUS Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach Massimo

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

    E-Print Network [OSTI]

    Hartman, Raymond Steve

    1978-01-01

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

  1. 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.

  2. Residential Demand Response under Uncertainty Paul Scott and Sylvie Thiebaux and

    E-Print Network [OSTI]

    Thiébaux, Sylvie

    Residential Demand Response under Uncertainty Paul Scott and Sylvie Thi´ebaux and Menkes van den stochastic optimisation in residential demand response. 1 Introduction Electricity consumption in residential participate in smart grid activities such as demand response where loads are shifted to times favourable

  3. 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.

  4. Estimating the Price Elasticity of Residential Water Demand: The Case of Phoenix, Arizona

    E-Print Network [OSTI]

    Article Estimating the Price Elasticity of Residential Water Demand: The Case of Phoenix, Arizona elasticity of residential water demand in Phoenix, Arizona, which is likely to be strongly impacted to such changes requires understanding the responsiveness of water demand to price changes. We estimate the price

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

    E-Print Network [OSTI]

    Cowing, Thomas G.

    1982-01-01

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

  6. The Impact of Residential Air Conditioner Charging and Sizing on Peak Electrical Demand 

    E-Print Network [OSTI]

    Neal, L.; O'Neal, D. L.

    1992-01-01

    of Residential Air Conditioner Charging and Sizing on Peak Electrical Demand Leon Neal North Carolina Alternate Energy Corporation Research Triangle Park, N.C. ABSTRACT Electric utilities have had a number of air conditioner rebate and maintenance... of the equipment), system sizing, and efficiency on the steady-state, coincident peak utility demand of a residential central air conditioning system. The study is based on the results of laboratory tests of a three-ton, capillary tube expansion, split...

  7. Secondary residential demand trends in contemporary Japan and North Asia

    E-Print Network [OSTI]

    Lam, Michael M

    2009-01-01

    This research paper attempts to address the opportunity and challenges for Vacation Residential Development in North Asia, with specific geographic focus on Japan first through an analysis of national and regional consumption, ...

  8. Better Buildings Residential Network Driving Demand Peer Exchange...

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

    Driving Demand Peer Exchange Call Series: Leveraging Holidays and Other Events Call Slides and Discussion Summary November 7, 2013 Agenda Call Logistics and Introductions ...

  9. 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.

  10. Effects of Price-Responsive Residential Demand on Retail and Wholesale Power Market Operations

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Effects of Price-Responsive Residential Demand on Retail and Wholesale Power Market Operations/C) on integrated retail and wholesale power market operations. The physical operations of the A/C sys- tem, and distribution of electric power was mo- nopolistically controlled by vertically integrated utilities with retail

  11. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

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

    2008-01-01

    fraction of residential and commercial demands, leading16 Residential electricity demand endspecific residential electricity demands into electricity

  12. Assumption to the Annual Energy Outlook 2014 - Residential Demand Module

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (BillionTechnical InformationDecade Year-0 2Market ModuleOil and GasDemand

  13. Public goods and private interests: Understanding non-residential demand for green power

    SciTech Connect (OSTI)

    Wiser, Ryan H.; Fowlie, Meredith; Holt, Edward A.

    2001-01-01

    This article presents the results of the first large-scale mail survey of non-residential green power customers in the United States. The survey explored the motivations, attitudes, and experiences of 464 business, non-profit, and public-sector customers that have voluntarily opted to purchase - and frequently pay a premium for - renewable electricity. Results of this study should be of value to marketers interested in targeting these customer segments, to policy makers interested in fostering and understanding non-residential demand for green power, and to academics pondering the motivations for firms to engage in such voluntary environmental initiatives.

  14. 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.

  15. Impact of Rate Design Alternatives on Residential Solar Customer Bills. Increased Fixed Charges, Minimum Bills and Demand-based Rates

    SciTech Connect (OSTI)

    Bird, Lori; Davidson, Carolyn; McLaren, Joyce; Miller, John

    2015-09-01

    With rapid growth in energy efficiency and distributed generation, electric utilities are anticipating stagnant or decreasing electricity sales, particularly in the residential sector. Utilities are increasingly considering alternative rates structures that are designed to recover fixed costs from residential solar photovoltaic (PV) customers with low net electricity consumption. Proposed structures have included fixed charge increases, minimum bills, and increasingly, demand rates - for net metered customers and all customers. This study examines the electricity bill implications of various residential rate alternatives for multiple locations within the United States. For the locations analyzed, the results suggest that residential PV customers offset, on average, between 60% and 99% of their annual load. However, roughly 65% of a typical customer's electricity demand is non-coincidental with PV generation, so the typical PV customer is generally highly reliant on the grid for pooling services.

  16. California Baseline Energy Demands to 2050 for Advanced Energy Pathways

    E-Print Network [OSTI]

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

    2008-01-01

    demands. Residential and commercial demand has a significantDemand by Sector Residential Peak Demand (MW) Commercialwe convert residential electricity demand based upon climate

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

    SciTech Connect (OSTI)

    1997-01-01

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

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

    SciTech Connect (OSTI)

    Herter, Karen; Rasin, Josh; Perry, Tim

    2009-11-30

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

  19. Home Network Technologies and Automating Demand Response

    E-Print Network [OSTI]

    McParland, Charles

    2010-01-01

    LBNL Commercial and Residential Demand Response Overview ofmarket [5]. Residential demand reduction programs have beenin the domain of residential demand response. There are a

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

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2008-01-01

    Runs, Average Value) Electricity Demand Power/Electricitygrowth to 2030. Since electricity demand is projected toequipment. Since electricity demand, is projected to exhibit

  1. California DREAMing: the design of residential demand responsive technology with people in mind

    E-Print Network [OSTI]

    Peffer, Therese E.

    2009-01-01

    Advanced Metering and Demand Response in ElectricityChen, X. (2008). Demand Response-enabled Autonomous Controlfor Thermal Comfort, Demand Response, and Reduced Annual

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

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2008-01-01

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

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

    E-Print Network [OSTI]

    Herter, Karen

    2014-01-01

    of the Open Automated Demand Response Standard for theOpen Automated Demand Response (OpenADR) Price Schedule Time3.3.2. General Electric Demand Response Module Figure 7. GE’

  4. Residential water use and landscape vegetation dynamics in Los Angeles

    E-Print Network [OSTI]

    Mini, Caroline

    2013-01-01

    Reidy, K. (2008). Residential Water Demand Management:Estimation of residential water demand: a state-of-the-art2009, Determinants of residential water demand in Germany,

  5. PowerChoice Residential Customer Response to TOU Rates

    E-Print Network [OSTI]

    Peters, Jane S.

    2010-01-01

    New Evidence on Residential Demand Response. ” May 11.past studies on residential demand response have examinedpast studies on residential demand response have examined

  6. 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.

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

    E-Print Network [OSTI]

    Miller, N.L.

    2008-01-01

    Peirson. 1998. Residential energy demand and the interactionresponse of residential cooling energy demand to climaterise in residential and commercial electricity demand can be

  8. California DREAMing: the design of residential demand responsive technology with people in mind

    E-Print Network [OSTI]

    Peffer, Therese E.

    2009-01-01

    to inform people of their energy usage. We tested the systemcertain quality and energy usage standards of variousprice and household energy usage to enable demand response

  9. 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.

  10. Demand-side Management Strategies and the Residential Sector: Lessons from International Experience

    E-Print Network [OSTI]

    Haney, Aoife Brophy; Jamasb, Tooraj; Platchkov, Laura M.; Pollitt, Michael G.

    annual GHG emissions, and 40% of all energy consumption (UNEP, 2009). Furthermore, there is wide evidence of the cost- effectiveness of energy efficiency measures as compared to renewable programmes (IEA, 2006). In parallel, load growth; increased... of International Energy Agency (IEA) publications have also looked at energy use trends (IEA, 2007; IEA, 2008); reviewed the implementation of energy efficiencies policies in general (IEA, 2009b); and in the residential sector in particular (IEA, 2008...

  11. The Influence of Residential Solar Water Heating on Electric Utility Demand 

    E-Print Network [OSTI]

    Vliet, G. C.; Askey, J. L.

    1984-01-01

    Similar sets of residences in Austin, Texas with electric water heaters and solar water heaters with electric back-up were monitored during 1982 to determine their instantaneous electric demands, the purpose being to ...

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

    E-Print Network [OSTI]

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

    2000-01-01

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

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

    E-Print Network [OSTI]

    McNeil, Michael A.

    2010-01-01

    in use patterns and electricity rates between commercial andRates Residential electricity rates are much lower thanin India. Residential electricity rates are subsidized to a

  14. Current Status and Future Scenarios of Residential Building Energy Consumption in China

    E-Print Network [OSTI]

    Zhou, Nan

    2010-01-01

    software. Methodology Residential energy demand is shaped bydrivers of energy and demand in residential buildings arethe residential buildings sector, the level of energy demand

  15. Residential Customer Response to Real-time Pricing: The Anaheim Critical Peak Pricing Experiment

    E-Print Network [OSTI]

    Wolak, Frank A.

    2007-01-01

    load in California. Residential demand is approximately 30%12% reduction in statewide residential demand on a statewidefor residential customers with an aggregate peak demand that

  16. Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China

    E-Print Network [OSTI]

    Zhou, Nan

    2010-01-01

    of growth in residential energy demand in China will requirein Table 1. Residential energy demand is shaped by a varietydrivers of energy and demand in residential buildings are

  17. U.S. Energy Information Administration NEMS Residential Demand Module Documentation Report 2011

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal,Demand Module of the NationalSales (Million Barrels)New

  18. Modeling the Capacity and Emissions Impacts of Reduced Electricity Demand. Part 1. Methodology and Preliminary Results.

    E-Print Network [OSTI]

    Coughlin, Katie

    2013-01-01

    pdf. ———. 2011b. Residential Demand Module of the Nationaland the Commercial and Residential Demand Modules (DOE EIAcommercial and residential electricity demand projections

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

    E-Print Network [OSTI]

    Letschert, Virginie

    2010-01-01

    residential electricity in developing country regions. Thehousehold electricity consumption in developing countries.targeting electricity consumption in developing countries,

  20. Peak-Coincident Demand Savings from Behavior-Based Programs: Evidence from PPL Electric's Behavior and Education Program

    E-Print Network [OSTI]

    Stewart, James

    2013-01-01

    hours caused by residential demand for air conditioning. Airto those of other residential demand-response programs?11 Most residential demand response programs fall into one

  1. Residential Demand Response

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100Nationalquestionnaires 0 Averagequestionnaires 7 Average

  2. Residential Sector Demand Module

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearby the(Dollars1.840 2.318 3.1195) Model8)3 November

  3. Energy Data Sourcebook for the U.S. Residential Sector

    E-Print Network [OSTI]

    Wenzel, T.P.

    2010-01-01

    and R. Hagemann. 1978. Residential Demand for Electricity,Braithwait. 1979. The Residential Demand for Electricity byA. Werth. 1981. "Short-Run Residential Demand for Fuels: A

  4. A tale of two houses: the human dimension of demand response enabling technology from a case study of an adaptive wireless thermostat.

    E-Print Network [OSTI]

    Peffer, Therese; Arens, Edward A; Chen, Xue; Jang, Jaehwi; Auslander, David M.

    2008-01-01

    technology to enable residential Demand Response (DR) is aalternative model for a residential demand response enablinguse it. Existing Residential Demand Response (DR) Programs

  5. A Cross-Sectional Investigation of the Determinants of Urban Residential Water Demand in the United States, 1960 and 1970 

    E-Print Network [OSTI]

    Foster, H.S., Jr.; Beattie, B. R.

    1978-01-01

    This research was undertaken to specify and estimate a model relating household demand for urban water to its principal determinants. Four specific tasks were accomplished: 1. An appropriate economic demand model for ...

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

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

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

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

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2010-01-01

    In the residential and commercial sectors, oil demand willthe residential and commercial sectors, electricity demandwater heating demand in the residential sector. At present,

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

    SciTech Connect (OSTI)

    Fuller, Merrian C.

    2010-09-20

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

  9. ResPoNSe: modeling the wide variability of residential energy consumption.

    E-Print Network [OSTI]

    Peffer, Therese; Burke, William; Auslander, David

    2010-01-01

    the Design of Residential Demand Responsive Technology withHiroshi Asano. 2006. A Residential End-Use Demand Model forModelling of Energy Demand in the Residential Sector: 1.

  10. Mitigating the Impacts of Uncontrolled Air Flow on Indoor Environmental Quality and Energy Demand in Non-Residential Buildings

    SciTech Connect (OSTI)

    Hugh I. Henderson; Jensen Zhang; James B. Cummings; Terry Brennan

    2006-07-31

    This multi-faceted study evaluated several aspects of uncontrolled air flows in commercial buildings in both Northern and Southern climates. Field data were collected from 25 small commercial buildings in New York State to understand baseline conditions for Northern buildings. Laboratory wall assembly testing was completed at Syracuse University to understand the impact of typical air leakage pathways on heat and moisture transport within wall assemblies for both Northern and Southern building applications. The experimental data from the laboratory tests were used to verify detailed heat and moisture (HAM) simulation models that could be used to evaluate a wider array of building applications and situations. Whole building testing at FSEC's Building Science Laboratory (BSL) systematically evaluated the energy and IAQ impacts of duct leakage with various attic and ceiling configurations. This systematic test carefully controlled all aspects of building performance to quantify the impact of duct leakage and unbalanced flow. The newest features of the EnergyPlus building simulation tool were used to model the combined impacts of duct leakage, ceiling leakage, unbalanced flows, and air conditioner performance. The experimental data provided the basis to validate the simulation model so it could be used to study the impact of duct leakage over a wide range of climates and applications. The overall objective of this project was to transfer work and knowledge that has been done on uncontrolled air flow in non-residential buildings in Florida to a national basis. This objective was implemented by means of four tasks: (1) Field testing and monitoring of uncontrolled air flow in a sample of New York buildings; (2) Detailed wall assembly laboratory measurements and modeling; (3) Whole building experiments and simulation of uncontrolled air flows; and (4) Develop and implement training on uncontrolled air flows for Practitioners in New York State.

  11. Does Marginal Price Matter? A Regression Discontinuity Approach to Estimating Water Demand

    E-Print Network [OSTI]

    Nataraj, Shanthi; Hanemann, W. Michael

    2008-01-01

    Price Elasticity of Residential Demand for Water: A Meta-Bruce R. Beattie, “Urban Residential Demand for Water in theBruce R. Beattie, “Urban Residential Demand for Water in the

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

    E-Print Network [OSTI]

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

    2007-01-01

    3–6 percent of non-residential peak demand, can be viewed as3–6 percent of non-residential peak demand, can be viewed asto large, non-residential customers with peak demand greater

  13. 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...

  14. Residential Furnace Blower Performance

    E-Print Network [OSTI]

    LBNL 61467 Residential Furnace Blower Performance I.S. Walker Environmental Energy Technologies combinations of blowers and residential furnaces were tested for air moving performance. The laboratory test and peak demand reductions in this study are based on replacing a Permanent Split Capacitor (PSC) blower

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

    E-Print Network [OSTI]

    Fuller, Merrian C.

    2011-01-01

    energy efficiency, solar photovoltaics (PV), and direct loadenergy efficiency, solar photovoltaics (PV), and direct loadAnnouncements Solar Photovoltaics Residential Conservation

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

    E-Print Network [OSTI]

    Fuller, Merrian C.

    2011-01-01

    Plan for the Bonneville Power Administration ResidentialOffice (GAO). 2004. Bonneville Power Administration: Betterpage 127) Bonneville Power Administration A History of Home

  17. Demand Response: Load Management Programs 

    E-Print Network [OSTI]

    Simon, J.

    2012-01-01

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

  18. Uncertainties in the Value of Bill Savings from Behind-the-Meter, Residential Photovoltaic Systems: The Roles of Electricity Market Conditions, Retail Rate Design, and Net Metering

    E-Print Network [OSTI]

    Darghouth, Naim Richard

    2013-01-01

    between average residential demand (net of behind-the-meterhours of highest residential demand, 12 noon to 12 midnight,prices during peak residential demand. This reduction in the

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

    SciTech Connect (OSTI)

    1995-04-01

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

  20. Using Mobile Applications to Generate Customer Demand | Department...

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

    Using Mobile Applications to Generate Customer Demand Using Mobile Applications to Generate Customer Demand Better Buildings Residential Network Peer Exchange Call Series: Using...

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

    E-Print Network [OSTI]

    Herter, Karen

    2010-01-01

    Martin Aspen. 2006. Demand Response Enabling TechnologiesDon. 2007. “Pricing for Demand Response from Residential andthe Level of Demand Response,” Power Point Presentation, 24

  2. INTERNATIONAL RESIDENTIAL ENERGY END USE DATA: ANALYSIS OF HISTORICAL AND PRESENT DAY STRUCTURE AND DYNAMICS

    E-Print Network [OSTI]

    Schipper, Lee

    2013-01-01

    growth in the residential demand for energy, particularlydemand for energy. In Griffinps epic study (1) the author was forced to model residential

  3. CONSULTANT REPORT 2009 CALIFORNIA RESIDENTIAL

    E-Print Network [OSTI]

    . Data collection was completed in early 2010. The study yielded energy consumption estimates for 27 statistical methods to combine survey data, household energy consumption data and weather information Commission, conditional demand analysis, CDA, unit energy consumption, UEC, residential, appliance

  4. Harmonic Broadcasting Is Bandwidth-Optimal Assuming Constant Bit Rate

    E-Print Network [OSTI]

    Sudan, Madhu

    Harmonic Broadcasting Is Bandwidth-Optimal Assuming Constant Bit Rate Lars Engebretsen1, and Madhu Street Cambridge, Massachusetts 02139 USA E-mail: madhu@mit.edu November 2005 Abstract. Harmonic for video-on-demand broadcasting. In this paper, we note that harmonic broadcasting is actually a spe- cial

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

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2010-01-01

    equivalent and its electricity demand at 19 Mtoe. If wastemeet water heating and electricity demand in the residentialJournal Vol.4, No.4 electricity demand, fuel requirements

  6. Advanced Controls for Residential Whole-House Ventilation Systems...

    Office of Scientific and Technical Information (OSTI)

    AND MISCELLANEOUS Residential ventilation, ventilation controller, ASHRAE Standard 62.2, demand response Word Cloud More Like This Full Text preview image File size NAView Full...

  7. Simulations of Sizing and Comfort Improvements for Residential

    E-Print Network [OSTI]

    LBNL 47309 1 Simulations of Sizing and Comfort Improvements for Residential Forced-Air Heating...................................................................................... 18 PEAK DEMAND AND POWER CONSUMPTION

  8. DWARF MISTLETOE CONTROL IN RESIDENTIAL FORESTS-1/ John G. Laut-

    E-Print Network [OSTI]

    DWARF MISTLETOE CONTROL IN RESIDENTIAL FORESTS-1/ 2/ John G. Laut- Abstract: Residential forests-pressure. These people demand answers to questions about tree manage- ment -- not necessarily forest management people-pressures present new problems with new dimensions that demand new potential . solutions

  9. Demand response-enabled residential thermostat controls.

    E-Print Network [OSTI]

    Chen, Xue; Jang, Jaehwi; Auslander, David M.; Peffer, Therese; Arens, Edward A

    2008-01-01

    Summer Study on Energy Efficiency in Buildings. Peffer, T. ,on 2008 ACEEE Summer Study on Energy Efficiency in BuildingsSummer Study on Energy Efficiency in Buildings References

  10. Demand response-enabled residential thermostat controls.

    E-Print Network [OSTI]

    Chen, Xue; Jang, Jaehwi; Auslander, David M.; Peffer, Therese; Arens, Edward A

    2008-01-01

    their activity. Occupants’ behavior such as opening windowspredictable behavior and energy savings to the occupants.

  11. Seasonality in Community Water Demand Ronald C. Griffin and Chan Chang

    E-Print Network [OSTI]

    Griffin, Ronald

    in residential water demand stems fundamentally from the potential ofprice as a rationing mechanism and the use demand is impor- tant in two respects. First, available evidence that summer residential water demandsSeasonality in Community Water Demand Ronald C. Griffin and Chan Chang Secondary data and survey

  12. Demand Reduction

    Office of Energy Efficiency and Renewable Energy (EERE)

    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...

  13. The Role of Demand Response Policy Forum Series

    E-Print Network [OSTI]

    California at Davis, University of

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

  14. FORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS

    E-Print Network [OSTI]

    Keller, Arturo A.

    Winter (November - April) water demand Developed by Limaye et al. 1993 Residential water demand ­ f {PPHFORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS by Bruce Bishop Professor of Civil resources resulting in water stress. Effective water management ­ a solution Supply side management Demand

  15. Residential Energy Efficiency Messaging | Department of Energy

    Office of Environmental Management (EM)

    Residential Energy Efficiency Messaging Residential Energy Efficiency Messaging Better Buildings Residential Network Peer Exchange Call Series: Residential Energy Efficiency...

  16. Urban Water Demand with Periodic Error Correction David R. Bell

    E-Print Network [OSTI]

    Griffin, Ronald

    them. Econometric estimates of residential demand for water abound (Dalhuisen et al. 2003Urban Water Demand with Periodic Error Correction by David R. Bell and Ronald C. Griffin February, Department of Agricultural Economics, Texas A&M University. #12;Abstract Monthly demand for publicly supplied

  17. Potential Peak Load Reductions From Residential Energy Efficient Upgrades 

    E-Print Network [OSTI]

    Meisegeier, D.; Howes, M.; King, D.; Hall, J.

    2002-01-01

    the potential peak load reductions from residential energy efficiency upgrades in hot and humid climates. First, a baseline scenario is established. Then, the demand and consumption impacts of individual upgrade measures are assessed. Several of these upgrades...

  18. What's Working in Residential Energy Efficiency Upgrade Programs...

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

    Institute Martha Jane Murray, Clinton Climate Initiative 11:00 a.m. - 12:30 p.m. Driving Demand for Residential Building Upgrades Moderator: David Weitz, Conservation Services...

  19. Yima1: Design and Evaluation of a Streaming Media System for Residential Broadband Services

    E-Print Network [OSTI]

    Shahabi, Cyrus

    .g., distance learning, movie-on-demand) via currently available broadband connections to residential homesYima1: Design and Evaluation of a Streaming Media System for Residential Broadband Services Roger gained from streaming near NTSC quality video and audio to residential locations within a metropolitan

  20. Modeling the Choice of Residential Location and Home Type: Recent Movers in Austin, Texas

    E-Print Network [OSTI]

    Kockelman, Kara M.

    -range travel demand forecasting [8]. Of course, residential mobility decisions are complex, involving variousModeling the Choice of Residential Location and Home Type: Recent Movers in Austin, Texas Khandker constrained by home availability across locations of the urban area. Thus, a focus simply on residential

  1. A methodology for identifying and improving occupant behavior in residential Zhun (Jerry) Yu a

    E-Print Network [OSTI]

    Fung, Benjamin C. M.

    sector worldwide [4e6]. The high energy demand in residential buildings, which is also growing rapidlyA methodology for identifying and improving occupant behavior in residential buildings Zhun (Jerry in existing residential buildings. In this study, end-use loads were divided into two levels (i.e. main

  2. TRANSPORTATION DEMAND MANAGEMENT UNIVERSITY OF BRITISH COLUMBIA (UBC) U-PASS

    E-Print Network [OSTI]

    TRANSPORTATION DEMAND MANAGEMENT ­ UNIVERSITY OF BRITISH COLUMBIA (UBC) U-PASS ­ A CASE STUDY demand management: an overview ...............................14 1.4 Traffic dynamics in Vancouver residential areas ..............92 5.0 Analysis

  3. AN INNOVATIVE RTP-BASED RESIDENTIAL POWER SCHEDULING SCHEME FOR SMART GRIDS

    E-Print Network [OSTI]

    Snyder, Larry

    as demand response for residential power usage. In this scheme, the Energy Management Controller (EMCAN INNOVATIVE RTP-BASED RESIDENTIAL POWER SCHEDULING SCHEME FOR SMART GRIDS Chen Chen , Shalinee for consumers, but also reduce peak load and the variance between demand and supply, while avoiding the "rebound

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

    SciTech Connect (OSTI)

    1995-04-01

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

  5. Residential sector end-use forecasting with EPRI-Reeps 2.1: Summary input assumptions and results

    SciTech Connect (OSTI)

    Koomey, J.G.; Brown, R.E.; Richey, R.

    1995-12-01

    This paper describes current and projected future energy use by end-use and fuel for the U.S. residential sector, and assesses which end-uses are growing most rapidly over time. The inputs to this forecast are based on a multi-year data compilation effort funded by the U.S. Department of Energy. We use the Electric Power Research Institute`s (EPRI`s) REEPS model, as reconfigured to reflect the latest end-use technology data. Residential primary energy use is expected to grow 0.3% per year between 1995 and 2010, while electricity demand is projected to grow at about 0.7% per year over this period. The number of households is expected to grow at about 0.8% per year, which implies that the overall primary energy intensity per household of the residential sector is declining, and the electricity intensity per household is remaining roughly constant over the forecast period. These relatively low growth rates are dependent on the assumed growth rate for miscellaneous electricity, which is the single largest contributor to demand growth in many recent forecasts.

  6. Linton Brooks Assumes Post as Deputy Administrator for NNSA Defense...

    National Nuclear Security Administration (NNSA)

    Administrator for NNSA Defense Nuclear Nonproliferation Office Press Release Oct 30, 2001 Linton Brooks Assumes Post as Deputy Administrator for NNSA Defense Nuclear...

  7. Chapter 17: Residential Behavior Protocol

    SciTech Connect (OSTI)

    Stewart, J.; Todd, A.

    2015-01-01

    Residential behavior-based (BB) programs use strategies grounded in the behavioral social sciences to influence household energy use. Strategies may include providing households with real-time or delayed feedback about their energy use; supplying energy-efficiency education and tips; rewarding households for reducing their energy use; comparing households to their peers; and establishing games, tournaments, and competitions. BB programs often target multiple energy end uses and encourage energy savings, demand savings, or both. Savings from BB programs are usually a small percentage of energy use, typically less than 5%.

  8. Residential Energy Audits 

    E-Print Network [OSTI]

    Brown, W.

    1985-01-01

    A series of events coupled with the last five years experience performing Residential Conservation Service (RCS) audits have resulted in renewed efforts by utilities to evaluate the role of residential energy audits. There are utilities where...

  9. Leasing Residential PV Systems

    SciTech Connect (OSTI)

    Rutberg, Michael; Bouza, Antonio

    2013-11-01

    The article discusses the adoption, consequences and current market status of the leasing of residential photovoltaic systems. It addresses attributed energy savings and market potential of residential system leasing.

  10. An MILP Formulation for Load-Side Demand Control Zhonghui Luo, Ratnesh Kumar*

    E-Print Network [OSTI]

    Kumar, Ratnesh

    their operations prone to high demand charges. In fact, demand control has been used in residential power systemsAn MILP Formulation for Load-Side Demand Control Zhonghui Luo, Ratnesh Kumar* , Joseph Sottile linear programming formulation for load-side control of electrical energy demand. The formulation

  11. Housing and Residential Life

    E-Print Network [OSTI]

    Fernandez, Eduardo

    1 Housing and Residential Life Guidebook 2014-2015 LivingCampus #12;2 fau.edu/housing Welcome! The Housing & Residential Life staff is excited that you've moved home! Florida Atlantic University residence halls and apartments are your home for the 2014-2015 school year. The Housing & Residential Life staff

  12. Aperture Photometry Uncertainties assuming Priors and Correlated Noise

    E-Print Network [OSTI]

    Masci, Frank

    1 Aperture Photometry Uncertainties assuming Priors and Correlated Noise F. Masci, version 2.0, 10 aperture photometry assuming (i) prior pixel-flux uncertainties are available for the image (e.g., computed photometry is being performed. One way to do this is to compare the uncertainties with the local RMS pixel

  13. 770 IEEE TRANSACTIONS ON SMART GRID, VOL. 3, NO. 2, JUNE 2012 Residential Load Control: Distributed Scheduling and

    E-Print Network [OSTI]

    Giannakis, Georgios

    been termed demand response or load response, among others; see, e.g., [2], [3]. Residential loads have770 IEEE TRANSACTIONS ON SMART GRID, VOL. 3, NO. 2, JUNE 2012 Residential Load Control: Distributed residential end-user has a base load, two types of adjustable loads, and pos- sibly a storage device

  14. InDemandInDemandInDemand Energize Your Career

    E-Print Network [OSTI]

    Wolberg, George

    InDemandInDemandInDemand Energize Your Career You can join the next generation of workers who in Energy #12;#12;In Demand | 1 No, this isn't a quiz...but if you answered yes to any or all and Training Administration wants you to have this publication, In Demand: Careers in Energy. It will let you

  15. Guide for Benchmarking Residential Energy Efficiency Program...

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

    Guide for Benchmarking Residential Energy Efficiency Program Progress Guide for Benchmarking Residential Energy Efficiency Program Progress Guide for Benchmarking Residential...

  16. Presentation: Better Buildings Residential Program Solution Center...

    Office of Environmental Management (EM)

    Presentation: Better Buildings Residential Program Solution Center Presentation: Better Buildings Residential Program Solution Center Presentation: Better Buildings Residential...

  17. The Impact of Uncertain Physical Parameters on HVAC Demand Response

    SciTech Connect (OSTI)

    Sun, Yannan; Elizondo, Marcelo A.; Lu, Shuai; Fuller, Jason C.

    2014-03-01

    HVAC units are currently one of the major resources providing demand response (DR) in residential buildings. Models of HVAC with DR function can improve understanding of its impact on power system operations and facilitate the deployment of DR technologies. This paper investigates the importance of various physical parameters and their distributions to the HVAC response to DR signals, which is a key step to the construction of HVAC models for a population of units with insufficient data. These parameters include the size of floors, insulation efficiency, the amount of solid mass in the house, and efficiency of the HVAC units. These parameters are usually assumed to follow Gaussian or Uniform distributions. We study the effect of uncertainty in the chosen parameter distributions on the aggregate HVAC response to DR signals, during transient phase and in steady state. We use a quasi-Monte Carlo sampling method with linear regression and Prony analysis to evaluate sensitivity of DR output to the uncertainty in the distribution parameters. The significance ranking on the uncertainty sources is given for future guidance in the modeling of HVAC demand response.

  18. Residential Transactive Control Demonstration

    SciTech Connect (OSTI)

    Widergren, Steven E.; Fuller, Jason C.; Marinovici, Maria C.; Somani, Abhishek

    2014-02-19

    Arguably the most exciting aspect of the smart grid vision is the full participation of end-use resources with all forms of generation and energy storage in the reliable and efficient operation of an electric power system. Engaging all of these resources in a collaborative manner that respects the objectives of each resource, is sensitive to the system and local constraints of electricity flow, and scales to the large number of devices and systems participating is a grand challenge. Distributed decision-making system approaches have been presented and experimentation is underway. This paper reports on the preliminary findings of a residential demand response demonstration that uses the bidding transactions of supply and end-use air conditioning resources communicating with a real-time, 5 minute market to balance the various needs of the participants on a distribution feeder. The nature of the demonstration, the value streams being explored, and the operational scenarios implemented to characterize the system response are summarized along with preliminary findings.

  19. VideoonDemandVideoonDemandVideoonDemand Video on Demand Testbed

    E-Print Network [OSTI]

    Eleftheriadis, Alexandros

    VideoonDemandVideoonDemandVideoonDemand Columbia's Video on Demand Testbed and Interoperability Experiment Columbia's Video on Demand Testbed and Interoperability Experiment S.-F. Chang and A Columbia UniversityColumbia University www.www.ctrctr..columbiacolumbia..eduedu/advent/advent #12;VideoonDemandVideoonDemandVideoonDemand

  20. VideoonDemandVideoonDemandVideoonDemand Video on Demand Testbed

    E-Print Network [OSTI]

    Eleftheriadis, Alexandros

    #12;VideoonDemandVideoonDemandVideoonDemand Columbia's Video on Demand Testbed and Interoperability Experiment Columbia's Video on Demand Testbed and Interoperability Experiment H.H. KalvaKalva, A.www.eeee..columbiacolumbia..eduedu/advent/advent #12;VideoonDemandVideoonDemandVideoonDemand VoD Testbed ArchitectureVoD Testbed Architecture Video

  1. Do residential air-conditioning rebates miss the mark?

    SciTech Connect (OSTI)

    Stickney, B.; Shepard, M.

    1994-12-31

    The rebates utilities provide for residential central air conditioners and heat pumps to encourage improved cooling efficiency may inadvertently reward higher peak demand in many cases. This problem could be avoided by using both efficiency and peak performance to determine eligibility for rebates. Such changes to incentive formulas would better align the utilities` DSM programs with the dual goals of improved efficiency and peak demand reduction. Improved peak performance would be especially advantageous for sunbelt utilities whose residential cooling load is highly coincident with the summer peak. Air conditioning has been called the utilities` ``load from hell,`` because it is intermittent, unpredictable, and is the largest contributor to summer peak demand, requiring massive investments in power generation and delivery capacity. It is no wonder then that more DSM programs are targeted at space cooling than at any other end use. Ironically, however, all of the residential rebate programs the authors examined for central air conditioners and heat pumps are based on the seasonal energy efficiency ratio (SEER), which provides a valuable measure of seasonal energy efficiency but is not a good indicator of peak demand. Residential central air conditioning incentive programs for eight major utilities are based exclusively on SEER and most ratchet up the incentive levels with increasing SEER. None include the measure for peak demand for residential cooling equipment, which is the so-called energy efficiency ratio, or EER.

  2. Demand Response and Open Automated Demand Response

    E-Print Network [OSTI]

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

  3. Development of a Residential Integrated Ventilation Controller

    SciTech Connect (OSTI)

    Staff Scientist; Walker, Iain; Sherman, Max; Dickerhoff, Darryl

    2011-12-01

    The goal of this study was to develop a Residential Integrated Ventilation Controller (RIVEC) to reduce the energy impact of required mechanical ventilation by 20percent, maintain or improve indoor air quality and provide demand response benefits. This represents potential energy savings of about 140 GWh of electricity and 83 million therms of natural gas as well as proportional peak savings in California. The RIVEC controller is intended to meet the 2008 Title 24 requirements for residential ventilation as well as taking into account the issues of outdoor conditions, other ventilation devices (including economizers), peak demand concerns and occupant preferences. The controller is designed to manage all the residential ventilation systems that are currently available. A key innovation in this controller is the ability to implement the concept of efficacy and intermittent ventilation which allows time shifting of ventilation. Using this approach ventilation can be shifted away from times of high cost or high outdoor pollution towards times when it is cheaper and more effective. Simulations, based on the ones used to develop the new residential ventilation requirements for the California Buildings Energy code, were used to further define the specific criteria and strategies needed for the controller. These simulations provide estimates of the energy, peak power and contaminant improvement possible for different California climates for the various ventilation systems. Results from a field test of the prototype controller corroborate the predicted performance.

  4. 1822 IEEE TRANSACTIONS ON SMART GRID, VOL. 3, NO. 4, DECEMBER 2012 Real-Time Price-Based Demand Response

    E-Print Network [OSTI]

    Fu, Yong

    , real-time price-based demand response management, residential appli- ances, robust optimization1822 IEEE TRANSACTIONS ON SMART GRID, VOL. 3, NO. 4, DECEMBER 2012 Real-Time Price-Based Demand Response Management for Residential Appliances via Stochastic Optimization and Robust Optimization Zhi Chen

  5. Kenergy- Residential Rebate Program

    Broader source: Energy.gov [DOE]

    Kenergy is an electric cooperative that serves 51,000 households and commercial customers in 14 western Kentucky counties. Currently, Kenergy offers three rebate programs for residential customers...

  6. Essays on residential desegregation

    E-Print Network [OSTI]

    Wong, Maisy

    2008-01-01

    Many ethnically diverse countries have policies that encourage integration across ethnic groups. This dissertation investigates the impact and welfare implications of a residential desegregation policy in Singapore, the ...

  7. Residential Absorption Water Heater

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

    Residential Absorption Water Heater 2014 Building Technologies Office Peer Review Kyle Gluesenkamp, gluesenkampk@ornl.gov Oak Ridge National Laboratory Project Summary Timeline:...

  8. Residential Building Audits and Retrofits

    Broader source: Energy.gov [DOE]

    This presentation covers local, regional, and national efforts to promote energy efficiency in residential buildings, programmatic elements of residential building audit and retrofit programs, and resources that you can access to address residential retrofit issues.

  9. High Temperatures & Electricity Demand

    E-Print Network [OSTI]

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

  10. Advanced Demand Responsive Lighting

    E-Print Network [OSTI]

    Advanced Demand Responsive Lighting Host: Francis Rubinstein Demand Response Research Center demand responsive lighting systems ­ Importance of dimming ­ New wireless controls technologies · Advanced Demand Responsive Lighting (commenced March 2007) #12;Objectives · Provide up-to-date information

  11. The Impact of the Russian Tariff on Japanese Demand for Wood Products CINTRAFOR News is

    E-Print Network [OSTI]

    extent, residential housing has always been one of the major drivers of wood demand in JapanThe Impact of the Russian Tariff on Japanese Demand for Wood Products CINTRAFOR News is available will consider the potential impact on Chinese demand for wood products.) Japanese Market for Wood Products Japan

  12. Designing a Residential Hybrid Electrical Energy Storage System Based on the Energy Buffering Strategy

    E-Print Network [OSTI]

    Pedram, Massoud

    energy price during peak hours for residential users. Moreover, recent research on smart grid proposesDesigning a Residential Hybrid Electrical Energy Storage System Based on the Energy Buffering companies generally raise electrical energy price during periods of high load demand. A grid

  13. : Design and Evaluation of a Streaming Media System for Residential Broadband Services

    E-Print Network [OSTI]

    Shahabi, Cyrus

    1 Yima : Design and Evaluation of a Streaming Media System for Residential Broadband Services video and audio to residential locations within a metropolitan area. We investigated the feasibility, which indicate that streaming applications, such as movie-on-demand,are not only technically feasible

  14. Decarbonising the English residential sector: modelling policies, technologies and behaviour within a heterogeneous building stock

    E-Print Network [OSTI]

    Kelly, Scott

    2013-04-16

    propensity to consume more energy are also more likely to have higher energy efficiency. Internal dwelling temperature is one of the most important parameters for explaining residential energy demand over a heterogeneous building stock. Yet bottom up...

  15. Key Residential Building Equipment Technologies for Control and Grid Support PART I (Residential)

    SciTech Connect (OSTI)

    Starke, Michael R; Onar, Omer C; DeVault, Robert C

    2011-09-01

    Electrical energy consumption of the residential sector is a crucial area of research that has in the past primarily focused on increasing the efficiency of household devices such as water heaters, dishwashers, air conditioners, and clothes washer and dryer units. However, the focus of this research is shifting as objectives such as developing the smart grid and ensuring that the power system remains reliable come to the fore, along with the increasing need to reduce energy use and costs. Load research has started to focus on mechanisms to support the power system through demand reduction and/or reliability services. The power system relies on matching generation and load, and day-ahead and real-time energy markets capture most of this need. However, a separate set of grid services exist to address the discrepancies in load and generation arising from contingencies and operational mismatches, and to ensure that the transmission system is available for delivery of power from generation to load. Currently, these grid services are mostly provided by generation resources. The addition of renewable resources with their inherent variability can complicate the issue of power system reliability and lead to the increased need for grid services. Using load as a resource, through demand response programs, can fill the additional need for flexible resources and even reduce costly energy peaks. Loads have been shown to have response that is equal to or better than generation in some cases. Furthermore, price-incentivized demand response programs have been shown to reduce the peak energy requirements, thereby affecting the wholesale market efficiency and overall energy prices. The residential sector is not only the largest consumer of electrical energy in the United States, but also has the highest potential to provide demand reduction and power system support, as technological advancements in load control, sensor technologies, and communication are made. The prevailing loads based on the largest electrical energy consumers in the residential sector are space heating and cooling, washer and dryer, water heating, lighting, computers and electronics, dishwasher and range, and refrigeration. As the largest loads, these loads provide the highest potential for delivering demand response and reliability services. Many residential loads have inherent flexibility that is related to the purpose of the load. Depending on the load type, electric power consumption levels can either be ramped, changed in a step-change fashion, or completely removed. Loads with only on-off capability (such as clothes washers and dryers) provide less flexibility than resources that can be ramped or step-changed. Add-on devices may be able to provide extra demand response capabilities. Still, operating residential loads effectively requires awareness of the delicate balance of occupants health and comfort and electrical energy consumption. This report is Phase I of a series of reports aimed at identifying gaps in automated home energy management systems for incorporation of building appliances, vehicles, and renewable adoption into a smart grid, specifically with the intent of examining demand response and load factor control for power system support. The objective is to capture existing gaps in load control, energy management systems, and sensor technology with consideration of PHEV and renewable technologies to establish areas of research for the Department of Energy. In this report, (1) data is collected and examined from state of the art homes to characterize the primary residential loads as well as PHEVs and photovoltaic for potential adoption into energy management control strategies; and (2) demand response rules and requirements across the various demand response programs are examined for potential participation of residential loads. This report will be followed by a Phase II report aimed at identifying the current state of technology of energy management systems, sensors, and communication technologies for demand response and load factor control applications

  16. Urban Studies, Vol. 40, No. 7, 000000, 2003 Induced Demand: A Microscopic Perspective

    E-Print Network [OSTI]

    Levinson, David M.

    . Introduction Transport forecasts often assume limited or no response of demand to changes in supply of the response of demand to supply, also referred to as induced or latent demand. According to the induced demand demand hypoth- esis to date has mostly been carried out at the aggregate level, considering state, metro

  17. Residential Air Conditioner Direct Load Control "Energy Partners Program" 

    E-Print Network [OSTI]

    Cook, J. D.

    1994-01-01

    ) approach in which both demand- side and supply side resources are evaluated. HL&P also recognizes the contribution demand-side programs make to the company's long-term ability to provide reliable and reasonably priced electric service for its... effected, according to EPRI. Numerous large investor-owned electric utilities are presently offering residential load control programs with great success. Arkansas Power & Light, Duke Power Company, Florida Power Corporation, Florida Power t Light...

  18. Influence of Attic Radiant Barrier Systems on Air Conditioning Demand in an Utility Pilot Project 

    E-Print Network [OSTI]

    Parker, D. S.; Sherwin, J. R.

    2002-01-01

    A utility monitoring project has evaluated radiant barrier systems (RBS) as a new potential demand site management (DSM) program. The study examined how the retrofit of attic radiant barriers can be expected to alter utility residential space...

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

    Reports and Publications (EIA)

    2005-01-01

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

  20. Does Marginal Price Matter? A Regression Discontinuity Approach to Estimating Water Demand

    E-Print Network [OSTI]

    Nataraj, Shanthi; Hanemann, W. Michael

    2008-01-01

    Groot, and Peter Nijkamp, “Price and Income Elasticities ofJ. Espey and W. D. Shaw, “Price Elasticity of ResidentialDavid J. Molina, “A Note on Price Perception in Water Demand

  1. TES for Residential Settings

    SciTech Connect (OSTI)

    Rutberg, Michael; Hastbacka, Mildred; Bouza, Antonio

    2013-07-31

    The article discusses thermal energy storage approaches for residential buildings. This article addresses both brick bank storage and phase change material technologies. The energy savings and market potential of these thermal energy storage methods are reviewed as well.

  2. Residential Wind Power

    E-Print Network [OSTI]

    Willis, Gary

    2011-12-16

    This research study will explore the use of residential wind power and associated engineering and environmental issues. There is various wind power generating devices available to the consumer. The study will discuss the dependencies of human...

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

    E-Print Network [OSTI]

    Letschert, Virginie

    2010-01-01

    Urban Households Clothes Washer Color TV Refrigerator AC Fans per 100 households per 100 households Unit Energy Consumption Baseline and Efficiency

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

    E-Print Network [OSTI]

    Letschert, Virginie

    2010-01-01

    for 90% of household electricity consumption in China. Usinggives an annual electricity consumption of 12kWh assumingto look at is electricity consumption at the household

  5. Residential Sector Demand Module of the National Energy Modeling System

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearby the(Dollars1.840 2.318 3.1195) Model8)3 November4)

  6. MICROSIMULATION OF RESIDENTIAL LAND DEVELOPMENT AND HOUSEHOLD LOCATION CHOICES

    E-Print Network [OSTI]

    Kockelman, Kara M.

    maximization and bid-rent theory, this paper investigates single-family residential location choices of new distribution). On the demand side, individual households (characterized by size, income, and presence and land owners maximize profits and/or rents. The simulation analysis offers insights into key features

  7. Residential Energy Efficiency Customer Service Best Practices...

    Energy Savers [EERE]

    Residential Energy Efficiency Customer Service Best Practices Residential Energy Efficiency Customer Service Best Practices Better Buildings Residential Network Peer Exchange Call...

  8. Electricity savings potentials in the residential sector of Bahrain

    SciTech Connect (OSTI)

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

    1996-08-01

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

  9. Addressing Energy Demand through Demand Response: International Experiences and Practices

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

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

  10. Building America Webinar: National Residential Efficiency Measures...

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

    National Residential Efficiency Measures Database Unveiled Building America Webinar: National Residential Efficiency Measures Database Unveiled This webinar presented an overview...

  11. Demand Side Management in Rangan Banerjee

    E-Print Network [OSTI]

    Banerjee, Rangan

    -Drive Systems - Industrial Efficient Lighting - Commercial/Residential Process Improvements- Industrial Solar Water Heaters ­ Residential/Commercial Efficient AC ­ Commercial/ Residential Cogeneration/Captive Power

  12. ICEPT Working Paper Comparison of Fuel Cell and Combustion Micro-CHP under Future Residential

    E-Print Network [OSTI]

    Energy Demand Scenarios June 14th 2007 Adam Hawkes1 Matthew Leach Centre for Energy Policy and Technology and Combustion Micro-CHP under Future Residential Energy Demand Scenarios A.D. Hawkes2 and M.A. Leach Centre for Energy Policy and Technology, Imperial College London, Exhibition Rd, London SW7 2AZ, UK Abstract Energy

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

    Reports and Publications (EIA)

    2003-01-01

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

  14. Residential Wood Heating Fuel Exemption

    Broader source: Energy.gov [DOE]

    The New York Department of Taxation and Finance publishes a variety of sales tax reports detailing local tax rates and exemptions, including those for residential energy services. The residential...

  15. Demand Response Valuation Frameworks Paper

    E-Print Network [OSTI]

    Heffner, Grayson

    2010-01-01

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

  16. Decentralized Control of Aggregated Loads for Demand Response Di Guo, Wei Zhang, Gangfeng Yan, Zhiyun Lin, and Minyue Fu

    E-Print Network [OSTI]

    Zhang, Wei

    Decentralized Control of Aggregated Loads for Demand Response Di Guo, Wei Zhang, Gangfeng Yan of residential responsive loads for vari- ous demand response applications. We propose a general hybrid system and effectively reduce the peak power consumption. I. INTRODUCTION Demand response has the potential to shift

  17. Residential Retrofit Design Guide Overview

    Office of Energy Efficiency and Renewable Energy (EERE)

    This webinar covered the Residential Retrofit Program Design Guide and its elements, including assess, plan, implement, and evaluate.

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

    SciTech Connect (OSTI)

    Aden, Nathaniel T.; Zheng, Nina; Fridley, David G.

    2009-07-01

    Urbanization has re-shaped China's economy, society, and energy system. Between 1990 and 2007 China added 290 million new urban residents, bringing the total urbanization rate to 45%. This population adjustment spurred energy demand for construction of new buildings and infrastructure, as well as additional residential use as rural biomass was replaced with urban commercial energy services. Primary energy demand grew at an average annual rate of 10% between 2000 and 2007. Urbanization's effect on energy demand was compounded by the boom in domestic infrastructure investment, and in the export trade following World Trade Organization (WTO) accession in 2001. Industry energy consumption was most directly affected by this acceleration. Whereas industry comprised 32% of 2007 U.S. energy use, it accounted for 75% of China's 2007 energy consumption. Five sub-sectors accounted for 78% of China's industry energy use in 2007: iron and steel, energy extraction and processing, chemicals, cement, and non-ferrous metals. Ferrous metals alone accounted for 25% of industry and 18% of total primary energy use. The rapid growth of heavy industry has led China to become by far the world's largest producer of steel, cement, aluminum, and other energy-intensive commodities. However, the energy efficiency of heavy industrial production continues to lag world best practice levels. This study uses scenario analysis to quantify the impact of urbanization and trade on industrial and residential energy consumption from 2000 to 2025. The BAU scenario assumed 67% urbanization, frozen export amounts of heavy industrial products, and achievement of world best practices by 2025. The China Lightens Up (CLU) scenario assumed 55% urbanization, zero net exports of heavy industrial products, and more aggressive efficiency improvements by 2025. The five dominant industry sub-sectors were modeled in both scenarios using a LEAP energy end-use accounting model. The results of this study show that a CLU-style development path would avoid 430 million tonnes coal-equivalent energy use by 2025. More than 60% of these energy savings would come from reduced activity and production levels. In carbon terms, this would amount to more than a billion-tonne reduction of energy-related carbon emissions compared with the BAU scenario in 2025, though the absolute level of emissions rises in both scenarios. Aside from the energy and carbon savings related to CLU scenario development, this study showed impending saturation effects in commercial construction, urban appliance ownership, and fertilizer application. The implication of these findings is that urbanization will have a direct impact on future energy use and emissions - policies to guide urban growth can play a central role in China's efforts to mitigate emissions growth.

  19. Assessing Vehicle Electricity Demand Impacts on California Electricity Supply

    E-Print Network [OSTI]

    McCarthy, Ryan W.

    2009-01-01

    hourly distribution of hydro energy does change with demand,drawn down, non-baseload hydro energy is assumed to be load-the spread of annual hydro energy has varied by more than a

  20. Inventory planning for low demand items in online retailing

    E-Print Network [OSTI]

    Chhaochhria, Pallav

    2007-01-01

    A large online retailer strategically stocks inventory for SKUs with low demand. The motivations are to provide a wide range of selections and faster customer fulfillment service. We assume the online retailer has the ...

  1. STORM WATER Residential

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    STORM WATER QUALITY HOTLINE UCSC Residential Car Washing http THAT MAY CAUSE ENVIRONMENTAL HARM TO THE STORM WATER QUALITY HOTLINE: (831) 459-2553. LIKE US ON FACEBOOK AT UCSC STORM WATER MANAGEMENT PROGRAM! DID YOU KNOW? PRACTICAL SOLUTIONS > USE A COMMERCIAL CAR WASH

  2. Residential Mechanical Precooling

    SciTech Connect (OSTI)

    German, a.; Hoeschele, M.

    2014-12-01

    This research conducted by the Alliance for Residential Building Innovation team evaluated mechanical air conditioner pre-cooling strategies in homes throughout the United States. EnergyPlus modeling evaluated two homes with different performance characteristics in seven climates. Results are applicable to new construction homes and most existing homes built in the last 10 years, as well as fairly efficient retrofitted homes.

  3. Berkeley Program Offers New Option for Financing Residential PV Systems

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01

    Vehicle for Residential PV Installations: Opportunities andfor Financing Residential PV Systems Mark Bolinger, Lawrencefor residential photovoltaic (PV) systems. Though financing

  4. Residential Retrofit Program Design Guide | Department of Energy

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

    Residential Retrofit Program Design Guide Residential Retrofit Program Design Guide Residential Retrofit Program Design Guide. Residential Retrofit Program Design Guide More...

  5. Thermal Profiling of Residential Energy Use

    SciTech Connect (OSTI)

    Albert, A; Rajagopal, R

    2015-03-01

    This work describes a methodology for informing targeted demand-response (DR) and marketing programs that focus on the temperature-sensitive part of residential electricity demand. Our methodology uses data that is becoming readily available at utility companies-hourly energy consumption readings collected from "smart" electricity meters, as well as hourly temperature readings. To decompose individual consumption into a thermal-sensitive part and a base load (non-thermally-sensitive), we propose a model of temperature response that is based on thermal regimes, i.e., unobserved decisions of consumers to use their heating or cooling appliances. We use this model to extract useful benchmarks that compose thermal profiles of individual users, i.e., terse characterizations of the statistics of these users' temperature-sensitive consumption. We present example profiles generated using our model on real consumers, and show its performance on a large sample of residential users. This knowledge may, in turn, inform the DR program by allowing scarce operational and marketing budgets to be spent on the right users-those whose influencing will yield highest energy reductions-at the right time. We show that such segmentation and targeting of users may offer savings exceeding 100% of a random strategy.

  6. DEMAND INTERPROCEDURAL PROGRAM ANALYSIS

    E-Print Network [OSTI]

    Reps, Thomas W.

    1 DEMAND INTERPROCEDURAL PROGRAM ANALYSIS USING LOGIC DATABASES Thomas W. Reps Computer Sciences@cs.wisc.edu ABSTRACT This paper describes how algorithms for demand versions of inerprocedural program­ analysis for all elements of the program. This paper concerns the solution of demand versions of interprocedural

  7. Capacity Demand Power (GW)

    E-Print Network [OSTI]

    California at Davis, University of

    Capacity Demand Power (GW) Hour of the Day The "Dip" Electricity Demand in Electricity Demand Every weekday, Japan's electricity use dips about 6 GW at 12 but it also shows that: · Behavior affects naHonal electricity use in unexpected ways

  8. Demand Response Assessment INTRODUCTION

    E-Print Network [OSTI]

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

  9. Guidelines for residential commissioning

    SciTech Connect (OSTI)

    Wray, Craig P.; Walker, Iain S.; Sherman, Max H.

    2003-01-31

    Currently, houses do not perform optimally or even as many codes and forecasts predict, largely because they are field assembled and there is no consistent process to identify problems or to correct them. Residential commissioning is a solution to this problem. This guide is the culmination of a 30-month project that began in September 1999. The ultimate objective of the project is to increase the number of houses that undergo commissioning, which will improve the quality, comfort, and safety of homes for California citizens. The project goal is to lay the groundwork for a residential commissioning industry in California focused on end-use energy and non-energy issues. As such, we intend this guide to be a beginning and not an end. Our intent is that the guide will lead to the programmatic integration of commissioning with other building industry processes, which in turn will provide more value to a single site visit for people such as home energy auditors and raters, home inspectors, and building performance contractors. Project work to support the development of this guide includes: a literature review and annotated bibliography, which facilitates access to 469 documents related to residential commissioning published over the past 20 years (Wray et al. 2000), an analysis of the potential benefits one can realistically expect from commissioning new and existing California houses (Matson et al. 2002), and an assessment of 107 diagnostic tools for evaluating residential commissioning metrics (Wray et al. 2002). In this guide, we describe the issues that non-experts should consider in developing a commissioning program to achieve the benefits we have identified. We do this by providing specific recommendations about: how to structure the commissioning process, which diagnostics to use, and how to use them to commission new and existing houses. Using examples, we also demonstrate the potential benefits of applying the recommended whole-house commissioning approach to such houses.

  10. Addressing Energy Demand through Demand Response: International Experiences and Practices

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

    DECC aggregator managed portfolio automated demand responseaggregator designs their own programs, and offers demand responseaggregator is responsible for designing and implementing their own demand response

  11. Automated Demand Response and Commissioning

    E-Print Network [OSTI]

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

    2005-01-01

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

  12. Demand Response Spinning Reserve Demonstration

    E-Print Network [OSTI]

    2007-01-01

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

  13. Demand Response Programs for Oregon

    E-Print Network [OSTI]

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

  14. UES (Electric)- Residential Efficiency Program

    Broader source: Energy.gov [DOE]

    UniSource Energy Services (UES) offers rebates to its residential customers who have certain energy efficient equipment installed by participating contractors. The rebate is provided directly to...

  15. Efficient Residential Water Heaters Webinar

    Broader source: Energy.gov [DOE]

    A webinar by Jerone Gagliano, director of Energy Engineering Performance Systems Development, about residential water heating technology and how to choose the right water heater.

  16. PowerChoice Residential Customer Response to TOU Rates

    SciTech Connect (OSTI)

    Peters, Jane S.; Moezzi, Mithra; Lutzenhiser, Susan; Woods, James; Dethman, Linda; Kunkle, Rick

    2009-10-01

    Research Into Action, Inc. and the Sacramento Municipal Utility District (SMUD) worked together to conduct research on the behaviors and energy use patterns of SMUD residential customers who voluntarily signed on to a Time-of-Use rate pilot launched under the PowerChoice label. The project was designed to consider the how and why of residential customers ability and willingness to engage in demand reduction behaviors, and to link social and behavioral factors to observed changes in demand. The research drew on a combination of load interval data and three successive surveys of participating households. Two experimental treatments were applied to test the effects of increased information on households ability to respond to the Time-of-Use rates. Survey results indicated that participants understood the purpose of the Time-of-Use rate and undertook substantial appropriate actions to shift load and conserve. Statistical tests revealed minor initial price effects and more marked, but still modest, adjustments to seasonal rate changes. Tests of the two information interventions indicated that neither made much difference to consumption patterns. Despite the lackluster statistical evidence for load shifting, the analysis points to key issues for critical analysis and development of residential Time-of-Use rates, especially pertinent as California sets the stage for demand response in more California residences.

  17. Seasonal demand and supply analysis of turkeys 

    E-Print Network [OSTI]

    Blomo, Vito James

    1972-01-01

    (percentage) responsiveness of price to changes (usually one percent) in quantity. Assuming a linear demand function, flexibility is shown to be less than one in the upper half of the function, equal to one (unitary) at the midpoint, and greater than one...SEASONAL DEMAND AND SUPPLY ANALYSIS OF TURKEYS A Thesis by VITO JAMES BLOMO Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE May 1972 Ma)or Sub...

  18. Exponential Demand Simulation Tool

    E-Print Network [OSTI]

    Reed, Derek D.

    2015-05-15

    Operant behavioral economics investigates the relation between environmental constraint and reinforcer consumption. The standard approach to quantifying this relation is through the use of behavioral economic demand curves. ...

  19. 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...

  20. SRP- Residential Energy Efficiency Rebate Program

    Broader source: Energy.gov [DOE]

    SRP's Residential Energy Efficiency Rebate Program is designed to encourage residential SRP customers to utilize energy efficient appliances and measures at home. Rebates and discounts are...

  1. Solar Now! Residential Brochure | Department of Energy

    Energy Savers [EERE]

    Information Resources Solar Now Residential Brochure Solar Now Residential Brochure Four Oregon organizations have teamed up to help Oregon homeowners learn about and install...

  2. Guide for Benchmarking Residential Energy Efficiency Program...

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

    Guide for Benchmarking Residential Energy Efficiency Program Progress as part of the DOE Better Buildings Program. Guide for Benchmarking Residential Energy Efficiency Program...

  3. Does Mixing Make Residential Ventilation More Effective?

    E-Print Network [OSTI]

    Sherman, Max

    2011-01-01

    Does Mixing Make Residential Ventilation More Effective? Maxmanufacturer, or otherwise, does not necessarily constitutethe University of California. Does Mixing Make Residential

  4. National Residential Efficiency Measures Database - Building...

    Energy Savers [EERE]

    National Residential Efficiency Measures Database - Building America Top Innovation National Residential Efficiency Measures Database - Building America Top Innovation Image of a...

  5. Residential Energy Efficiency Research Planning Meeting Summary...

    Energy Savers [EERE]

    Residential Energy Efficiency Research Planning Meeting Summary Report Residential Energy Efficiency Research Planning Meeting Summary Report This report summarizes key findings...

  6. Building America Residential Energy Efficiency Technical Update...

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

    Update meeting in August 2011, held in Denver, Colorado. 2011 Residential Energy Efficiency Technical Update Meeting More Documents & Publications 2011 Residential Energy...

  7. Laboratory Performance Testing of Residential Window Mounted...

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

    Laboratory Performance Testing of Residential Window Mounted Air Conditioners Laboratory Performance Testing of Residential Window Mounted Air Conditioners This presentation was...

  8. El Paso Electric Company- Residential Efficiency Program

    Broader source: Energy.gov [DOE]

    EPE offers incentives to residential customers in its New Mexico service territory that purchase and install high efficiency equipment for residential use. Eligible equipment includes air...

  9. Residential Water Heaters Webinar

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAandSummary From: v2.7| DepartmentMultifamily Residential Low Income<

  10. Residential | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS Report UrlNM-bRenewable Energy RFPsLtdEnergyResidential

  11. Residential propane prices available

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residential propane price

  12. Residential propane prices available

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residential propane price1,

  13. Residential propane prices available

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residential propane

  14. Residential propane prices available

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residential propane4, 2015

  15. Residential propane prices available

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residential propane4, 2015

  16. Residential propane prices available

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residential propane4,

  17. Residential propane prices available

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residential

  18. Electrical Demand Management 

    E-Print Network [OSTI]

    Fetters, J. L.; Teets, S. J.

    1983-01-01

    The Demand Management Plan set forth in this paper has proven to be a viable action to reduce a 3 million per year electric bill at the Columbus Works location of Western Electric. Measures are outlined which have reduced the peak demand 5% below...

  19. National Residential Efficiency Measures Database

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The National Residential Efficiency Measures Database is a publicly available, centralized resource of residential building retrofit measures and costs for the U.S. building industry. With support from the U.S. Department of Energy, NREL developed this tool to help users determine the most cost-effective retrofit measures for improving energy efficiency of existing homes. Software developers who require residential retrofit performance and cost data for applications that evaluate residential efficiency measures are the primary audience for this database. In addition, home performance contractors and manufacturers of residential materials and equipment may find this information useful. The database offers the following types of retrofit measures: 1) Appliances, 2) Domestic Hot Water, 3) Enclosure, 4) Heating, Ventilating, and Air Conditioning (HVAC), 5) Lighting, 6) Miscellaneous.

  20. Detailed Modeling and Response of Demand Response Enabled Appliances

    SciTech Connect (OSTI)

    Vyakaranam, Bharat; Fuller, Jason C.

    2014-04-14

    Proper modeling of end use loads is very important in order to predict their behavior, and how they interact with the power system, including voltage and temperature dependencies, power system and load control functions, and the complex interactions that occur between devices in such an interconnected system. This paper develops multi-state time variant residential appliance models with demand response enabled capabilities in the GridLAB-DTM simulation environment. These models represent not only the baseline instantaneous power demand and energy consumption, but the control systems developed by GE Appliances to enable response to demand response signals and the change in behavior of the appliance in response to the signal. These DR enabled appliances are simulated to estimate their capability to reduce peak demand and energy consumption.

  1. Effects of assumed tow architecture on the predicted moduli and stresses in woven composites 

    E-Print Network [OSTI]

    Chapman, Clinton Dane

    1993-01-01

    This study deals with the effect of assumed tow architecture on the elastic material properties and stress distributions of plain weave woven composites. Specifically, the examination of how a cross-section is assumed to sweep-out the tows...

  2. Least Squares : MotivationLeast Squares : Motivation SDA/LMS assume a probabilistic model underlying the

    E-Print Network [OSTI]

    Santhanam, Balu

    Least Squares : MotivationLeast Squares : Motivation SDA/LMS assume a probabilistic model underlying the optimal filtering problem. SDA/LMS assume access to ensemble statistics and multiple realizations. SDA/LMS assume ergodicity in the absence of multiple realizations. SDA/LMS speed of convergence

  3. On the Average Complexity of the Processor Demand Analysis for Earliest Deadline

    E-Print Network [OSTI]

    Lipari, Giuseppe

    Resource Allocation With Non-Deterministic Demands and Profits Nan Hu, Diego Pizzocaro, Matthew P wireless medium or variable quality of sensor outputs, it is not practical to assume that both demands study a specific case in which both demands and profits follow normal distributions, which

  4. Power Strip Packing of Malleable Demands in Mohammad M. Karbasioun, Gennady Shaikhet, Evangelos Kranakis, Ioannis Lambadaris

    E-Print Network [OSTI]

    Kranakis, Evangelos

    of the main goals of Demand Side Management (DSM) in smart grid is to reduce the peak to average ratio (PAR1 Power Strip Packing of Malleable Demands in Smart Grid Mohammad M. Karbasioun, Gennady Shaikhet of electrical energy which has to be supplied during the time interval [0, 1]. We assume that each demand has

  5. Advancing Residential Energy Retrofits

    SciTech Connect (OSTI)

    Jackson, Roderick K [ORNL; Boudreaux, Philip R [ORNL; Kim, Eyu-Jin [Southface Energy Institute; Roberts, Sydney [Southface Energy Institute

    2012-01-01

    To advance the market penetration of residential retrofits, Oak Ridge National Laboratory (ORNL) and Southface Energy Institute (Southface) partnered to provide technical assistance on nine home energy retrofits in metropolitan Atlanta with simulated source energy savings of 30% to 50%. Retrofit measures included duct sealing, air infiltration reductions, attic sealing and roofline insulation, crawlspace sealing, HVAC and water heating equipment replacement, and lighting and appliance upgrades. This paper will present a summary of these measures and their associated impacts on important home performance metrics, such as air infiltration and duct leakage. The average estimated source energy savings for the homes is 33%, and the actual heating season average savings is 32%. Additionally, a case study describing expected and realized energy savings of completed retrofit measures of one of the homes is described in this paper.

  6. Demand Dispatch-Intelligent

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

    such as wind, solar, and electric vehicles as well as dispatchable loads and microgrids. Many of these resources will be "behind-the-meter" (i.e., demand resources) and...

  7. Demand and Price Uncertainty: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01

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

  8. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01

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

  9. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01

    H. , and James M. Gri¢ n. 1983. Gasoline demand in the OECDof dynamic demand for gasoline. Journal of Econometrics 77(An empirical analysis of gasoline demand in Denmark using

  10. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01

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

  11. Identifying Cost-Effective Residential Energy Efficiency Opportunities for the Kauai Island Utility Cooperative

    SciTech Connect (OSTI)

    Busche, S.; Hockett, S.

    2010-06-01

    This analysis is an update to the 2005 Energy Efficiency Potential Study completed by KEMA for the Kauai Island Utility Cooperative (KIUC) and identifies potential energy efficiency opportunities in the residential sector on Kauai (KEMA 2005). The Total Resource Cost (TRC) test is used to determine which of the energy efficiency measures analyzed in the KEMA report are cost effective for KIUC to include in a residential energy efficiency program. This report finds that there remains potential energy efficiency savings that could be cost-effectively incentivized through a utility residential demand-side management program on Kauai if implemented in such a way that the program costs per measure are consistent with the current residential program costs.

  12. GridLAB-D Technical Support Document: Residential End-Use Module Version 1.0

    SciTech Connect (OSTI)

    Taylor, Zachary T.; Gowri, Krishnan; Katipamula, Srinivas

    2008-07-31

    1.0 Introduction The residential module implements the following end uses and characteristics to simulate the power demand in a single family home: • Water heater • Lights • Dishwasher • Range • Microwave • Refrigerator • Internal gains (plug loads) • House (heating/cooling loads) The house model considers the following four major heat gains/losses that contribute to the building heating/cooling load: 1. Conduction through exterior walls, roof and fenestration (based on envelope UA) 2. Air infiltration (based on specified air change rate) 3. Solar radiation (based on CLTD model and using tmy data) 4. Internal gains from lighting, people, equipment and other end use objects. The Equivalent Thermal Parameter (ETP) approach is used to model the residential loads and energy consumption. The following sections describe the modeling assumptions for each of the above end uses and the details of power demand calculations in the residential module.

  13. RESIDENTIAL VENTILATION AND ENERGY CHARACTERISTICS*

    E-Print Network [OSTI]

    best available data, the energy liability as- sociated with providing the current levels of ventilationRESIDENTIAL VENTILATION AND ENERGY CHARACTERISTICS* Max Sherman Nance Matson Energy Performance of Buildings Group Energy and Environment Division Lawrence Berkeley Laboratory University of California

  14. Demand and Price Uncertainty: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01

    Sterner. 1991. Analysing gasoline demand elasticities: A2011. Measuring global gasoline and diesel price and incomeMutairi. 1995. Demand for gasoline in Kuwait: An empirical

  15. Energy Policy 29 (2001) 10851097 Public goods and private interests: understanding non-residential

    E-Print Network [OSTI]

    Fowlie, Meredith

    2001-01-01

    rights reserved. Keywords: Green power; Renewable energy; Customer choice 1. Introduction 1.1. GreenEnergy Policy 29 (2001) 1085­1097 Public goods and private interests: understanding non-residential demand for green power Ryan H. Wisera, *, Meredith Fowliea , Edward A. Holtb a Lawrence Berkeley National

  16. What Explains Manhattan's Declining Share of Residential Construction?

    E-Print Network [OSTI]

    DAVIDOFF, THOMAS

    2007-01-01

    Share of Residential Construction? Thomas Davido? ? June 20,market. Residential construction in Manhattan has fallento total US residential construction over the last 45 years.

  17. Investigation of residential central air conditioning load shapes in NEMS

    E-Print Network [OSTI]

    Hamachi LaCommare, Kristina; Marnay, Chris; Gumerman, Etan; Chan, Peter; Rosenquist, Greg; Osborn, Julie

    2002-01-01

    of Residential Central Air Conditioning Load Shapes in NEMSof Residential Central Air Conditioning Load Shapes in NEMSof Residential Central Air Conditioning Load Shapes in NEMS

  18. Fort Collins Utilities - Residential and Small Commercial Appliance...

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

    Residential and Small Commercial Appliance Rebate Program Fort Collins Utilities - Residential and Small Commercial Appliance Rebate Program < Back Eligibility Residential Savings...

  19. Residential Retrofit Program Design Guide | Department of Energy

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

    Residential Retrofit Program Design Guide Residential Retrofit Program Design Guide This Residential Retrofit Program Design Guide focuses on the key elements and design...

  20. Tracking the Sun VIII: The Installed Price of Residential and...

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

    Tracking the Sun VIII: The Installed Price of Residential and Non-Residential Photovoltaic Systems in the United States Tracking the Sun VIII: The Installed Price of Residential...

  1. Scoping Study for Demand Respose DFT II Project in Morgantown, WV

    SciTech Connect (OSTI)

    Lu, Shuai; Kintner-Meyer, Michael CW

    2008-06-06

    This scoping study describes the underlying data resources and an analysis tool for a demand response assessment specifically tailored toward the needs of the Modern Grid Initiatives Demonstration Field Test in Phase II in Morgantown, WV. To develop demand response strategies as part of more general distribution automation, automated islanding and feeder reconfiguration schemes, an assessment of the demand response resource potential is required. This report provides the data for the resource assessment for residential customers and describes a tool that allows the analyst to estimate demand response in kW for each hour of the day, by end-use, season, day type (weekday versus weekend) with specific saturation rates of residential appliances valid for the Morgantown, WV area.

  2. Demand Response Valuation Frameworks Paper

    E-Print Network [OSTI]

    Heffner, Grayson

    2010-01-01

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

  3. 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.

  4. Optimal Demand Response Libin Jiang

    E-Print Network [OSTI]

    Optimal Demand Response Libin Jiang Steven Low Computing + Math Sciences Electrical Engineering Caltech Oct 2011 #12;Outline Caltech smart grid research Optimal demand response #12;Global trends 1

  5. ENERGY DEMAND FORECAST METHODS REPORT

    E-Print Network [OSTI]

    ....................................................................................................1-16 Energy Consumption Data...............................................1-15 Data Sources for Energy Demand Forecasting ModelsCALIFORNIA ENERGY COMMISSION ENERGY DEMAND FORECAST METHODS REPORT Companion Report

  6. Home Network Technologies and Automating Demand Response

    E-Print Network [OSTI]

    McParland, Charles

    2010-01-01

    Prices to Devices'", EPRI Energy Technology Assessment Center [8] Residential Buildings Committee (Northern California

  7. Estimating a Demand System with Nonnegativity Constraints: Mexican Meat Demand

    E-Print Network [OSTI]

    Carlini, David

    Estimating a Demand System with Nonnegativity Constraints: Mexican Meat Demand Amos Golan* Jeffrey an almost ideal demand system for five types of meat using cross-sectional data from Mexico, where most households did not buy at least one type of meat during the survey week. The system of demands is shown

  8. Peer-Assisted On-Demand Streaming: Characterizing Demands and

    E-Print Network [OSTI]

    Li, Baochun

    Peer-Assisted On-Demand Streaming: Characterizing Demands and Optimizing Supplies Fangming Liu Abstract--Nowadays, there has been significant deployment of peer-assisted on-demand streaming services over the Internet. Two of the most unique and salient features in a peer-assisted on-demand streaming

  9. Complete Knowledge Assumption Often you want to assume that your knowledge is complete.

    E-Print Network [OSTI]

    Valtorta, Marco

    Complete Knowledge Assumption Often you want to assume that your knowledge is complete. Example: assume that a database of what students are enrolled in a course is complete. The definite clause language is monotonic: adding clauses can't invalidate a previous conclusion. Under the complete knowledge

  10. On the Relationship between Concurrent Separation Logic and AssumeGuarantee Reasoning #

    E-Print Network [OSTI]

    Logic (CSL) and the assume­guarantee (A­G) method (a.k.a. rely­guarantee method). We show in three steps of shared­state concurrent programs is the assume­guarantee method (a.k.a. rely­guarantee method) [8

  11. On the Relationship between Concurrent Separation Logic and Assume-Guarantee Reasoning

    E-Print Network [OSTI]

    Logic (CSL) and the assume-guarantee (A-G) method (a.k.a. rely-guarantee method). We show in three steps of shared-state concurrent programs is the assume-guarantee method (a.k.a. rely-guarantee method) [8

  12. Demand-Aware Price Policy Synthesis and Verification Services for Smart Grids

    E-Print Network [OSTI]

    Tronci, Enrico

    at the same time (peak hour), this may result in an economical damage (both for usage of peak power plants forcing residential end users to cut their power demand. On the other hand, if all users require energy interconnection. The first service, which we call EDN Virtual Tomography (EVT) service, considers the whole EDN

  13. Energy Demand Staff Scientist

    E-Print Network [OSTI]

    Eisen, Michael

    #12;Sources: China National Bureau of Statistics; U.S. Energy Information Administration, Annual Energy Outlook. Overview:Overview: Energy Use in China and the U.S.Energy Use in China and the U.S. 5 0Energy Demand in China Lynn Price Staff Scientist February 2, 2010 #12;Founded in 1988 Focused

  14. 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)

  15. Demand Forecast INTRODUCTION AND SUMMARY

    E-Print Network [OSTI]

    Demand Forecast INTRODUCTION AND SUMMARY A 20-year forecast of electricity demand is a required in electricity demand is, of course, crucial to determining the need for new electricity resources and helping of any forecast of electricity demand and developing ways to reduce the risk of planning errors

  16. Better Buildings Residential Network Reporting and Benefits Template

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Reporting and Benefits Template, from the U.S. Department of Energy Better Buildings Residential Network.

  17. Better Buildings Residential Network Reporting and Benefits FAQ

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Reporting and Benefits FAQ, from the U.S. Department of Energy Better Buildings Residential Network.

  18. Questions Asked during the Financing Residential Energy Efficiency...

    Energy Savers [EERE]

    Energy Efficiency with Carbon Offsets Transcript Financing Residential Energy Efficiency with Carbon Offsets SERC Photovoltaics for Residential Buildings Webinar Transcript...

  19. Residential Energy Efficiency Solutions: From Innovation to Market...

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

    Residential Energy Efficiency Solutions: From Innovation to Market Transformation Conference, July 2012 Residential Energy Efficiency Solutions: From Innovation to Market...

  20. Better Buildings Residential Network Peer Exchange Call Series...

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

    Manager, Energy Smart Colorado Madeline Priest, Residential Programs Associate, Connecticut Green Bank (Clean Energy Finance and Investment Authority) - Residential Network...

  1. Wisconsin Natural Gas Number of Residential Consumers (Number of Elements)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal,Demand Module of6,090 7,163 10,532 14,881Withdrawals (MillionResidential

  2. Piedmont Natural Gas- Residential Equipment Efficiency Program

    Broader source: Energy.gov [DOE]

    Piedmont Natural Gas offers rebates on high-efficiency natural gas tankless water heaters, tank water heaters and furnaces. Customers on the 201-Residential Service Rate or 221-Residential Service...

  3. Edmond Electric- Residential Heat Pump Rebate Program

    Broader source: Energy.gov [DOE]

    Edmond Electric offers rebates to residential customers who install energy-efficient heat pumps. This program applies to installations in both new and existing residential homes and complexes. Air...

  4. Residential Load Management Program and Pilot 

    E-Print Network [OSTI]

    Haverlah, D.; Riordon, K.

    1994-01-01

    In 1986 LCRA embarked on residential load management to control peak summer loads. At that time, LCRA was considered a summer peaking utility, and residential air conditioning and water heating systems were selected for control. The program...

  5. Energy Efficiency Program for Residential Products: Energy Conservation Standards for Residential Dishwashers, Reopening of the Comment Period

    Broader source: Energy.gov [DOE]

    Energy Efficiency Program for Residential Products: Energy Conservation Standards for Residential Dishwashers, Reopening of the Comment Period

  6. Estimating Demand Response Market Potential Among Large Commercialand Industrial Customers:A Scoping Study

    SciTech Connect (OSTI)

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

    2007-01-01

    Demand response is increasingly recognized as an essentialingredient to well functioning electricity markets. This growingconsensus was formalized in the Energy Policy Act of 2005 (EPACT), whichestablished demand response as an official policy of the U.S. government,and directed states (and their electric utilities) to considerimplementing demand response, with a particular focus on "price-based"mechanisms. The resulting deliberations, along with a variety of stateand regional demand response initiatives, are raising important policyquestions: for example, How much demand response is enough? How much isavailable? From what sources? At what cost? The purpose of this scopingstudy is to examine analytical techniques and data sources to supportdemand response market assessments that can, in turn, answer the secondand third of these questions. We focus on demand response for large(>350 kW), commercial and industrial (C&I) customers, althoughmany of the concepts could equally be applied to similar programs andtariffs for small commercial and residential customers.

  7. The imperfect price-reversibility of world oil demand

    SciTech Connect (OSTI)

    Gately, D. [New York Univ., NY (United States)

    1993-12-31

    This paper examines the price-reversibility of world oil demand, using price-decomposition methods employed previously on other energy demand data. We conclude that the reductions in world oil demand following the oil price increases of the 1970s will not be completely reversed by the price cuts of the 1980s. The response to price cuts in the 1980s is perhaps only one-fifth that for price increases in the 1970s. This has dramatic implications for projections of oil demand, especially under low-price assumptions. We also consider the effect on demand of a price recovery (sub-maximum increase) in the 1990s - due either to OPEC or to a carbon tax-specifically whether the effects would be as large as for the price increases of the 1970s or only as large as the smaller demand reversals of the 1980s. On this the results are uncertain, but a tentative conclusion is that the response to a price recovery would lie midway between the small response to price cuts and the larger response to increases in the maximum historical price. Finally, we demonstrate two implications of wrongly assuming that demand is perfectly price-reversible. First, such an assumption will grossly overestimate the demand response to price declines of the 1980s. Secondly, and somewhat surprisingly, it causes an underestimate of the effect of income growth on future demand. 21 refs., 11 figs., 1 tab.

  8. Residential Retrofit Program Design Guide Overview Transcript...

    Energy Savers [EERE]

    Overview Sustainable Energy Resources for Consumers Webinar on Residential Geothermal Heat Pump Retrofit Transcript Weatherization & Intergovernmental Programs Office Home...

  9. A Method for Modeling Household Occupant Behavior to Simulate Residential Energy Consumption

    SciTech Connect (OSTI)

    Johnson, Brandon J [ORNL] [ORNL; Starke, Michael R [ORNL] [ORNL; Abdelaziz, Omar [ORNL] [ORNL; Jackson, Roderick K [ORNL] [ORNL; Tolbert, Leon M [University of Tennessee, Knoxville (UTK)] [University of Tennessee, Knoxville (UTK)

    2014-01-01

    This paper presents a statistical method for modeling the behavior of household occupants to estimate residential energy consumption. Using data gathered by the U.S. Census Bureau in the American Time Use Survey (ATUS), actions carried out by survey respondents are categorized into ten distinct activities. These activities are defined to correspond to the major energy consuming loads commonly found within the residential sector. Next, time varying minute resolution Markov chain based statistical models of different occupant types are developed. Using these behavioral models, individual occupants are simulated to show how an occupant interacts with the major residential energy consuming loads throughout the day. From these simulations, the minimum number of occupants, and consequently the minimum number of multiple occupant households, needing to be simulated to produce a statistically accurate representation of aggregate residential behavior can be determined. Finally, future work will involve the use of these occupant models along side residential load models to produce a high-resolution energy consumption profile and estimate the potential for demand response from residential loads.

  10. Addressing Energy Demand through Demand Response: International Experiences and Practices

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

    retail regulatory authority prohibit such activity. Demand response integration into US wholesale power marketsretail or wholesale level. 17 While demand response began participating at scale in wholesale power markets

  11. California Baseline Energy Demands to 2050 for Advanced Energy Pathways

    E-Print Network [OSTI]

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

    2008-01-01

    residential electricity consumption include disaggregationfor annual residential electricity consumption through 2050.Saturation and unit electricity consumption are projected

  12. Residential Fire Safety Policies Introduction

    E-Print Network [OSTI]

    Johnson Jr.,, Ray

    Residential Fire Safety Policies Introduction University Housing and Campus Code Compliance and Fire Safety at the City University of New York at Queens College in compliance with the Higher Education Opportunity Act (HEOA) have developed an annual fire safety report. This document summarizes

  13. System design and dynamic signature identification for intelligent energy management in residential buildings.

    E-Print Network [OSTI]

    Jang, Jaehwi

    2008-01-01

    for Intelligent Energy Management in Residential Buildingsfor Intelligent Energy Management in Residential Buildingsthat can provide autonomous energy management to residential

  14. Demand Dispatch-Intelligent

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2DepartmentDelta Dental Claim Form PDF iconDemand

  15. Revelation on Demand Nicolas Anciaux

    E-Print Network [OSTI]

    Revelation on Demand Nicolas Anciaux 1 · Mehdi Benzine1,2 · Luc Bouganim1 · Philippe Pucheral1 "revelation on demand". Keywords: Confidentiality and privacy, Secure device, Data warehousing, Indexing model

  16. by popular demand: Addiction II

    E-Print Network [OSTI]

    Niv, Yael

    by popular demand: Addiction II PSY/NEU338:Animal learning and decision making: Psychological, size of other non-drug rewards, and cost (but ultimately the demand is inelastic, or at least

  17. Smart Thermostats in Residential Applications

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

    Utility Resources News & Events Expand News & Events Skip navigation links Smart Grid Demand Response Energy Efficiency Emerging Technologies Current Research Portfolio...

  18. Chord on Demand Alberto Montresor

    E-Print Network [OSTI]

    Jelasity, Márk

    Chord on Demand Alberto Montresor University of Bologna, Italy montresor@cs.unibo.it M´ark Jelasity to solve a specific task on demand. We introduce T- CHORD, that can build a Chord network efficiently to solve a specific task on demand. Existing join protocols are not designed to handle the massive

  19. Supply Chain Supernetworks Random Demands

    E-Print Network [OSTI]

    Nagurney, Anna

    Supply Chain Supernetworks with Random Demands June Dong and Ding Zhang Department of Marketing of three tiers of decision-makers: the manufacturers, the distributors, and the retailers, with the demands equilibrium model with electronic commerce and with random demands for which modeling, qualitative analysis

  20. Chord on Demand Alberto Montresor

    E-Print Network [OSTI]

    Chord on Demand Alberto Montresor University of Bologna, Italy montresor@cs.unibo.it Mark Jelasity to solve a specific task on demand. We introduce T- CHORD, that can build a Chord network efficiently on demand. Existing join protocols are not designed to handle the massive concurrency involved in a jump

  1. ERCOT Demand Response Paul Wattles

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

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

  2. Assessment of Demand Response Resource

    E-Print Network [OSTI]

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

  3. ECE 103 Solid State Electronics Master Exam 2012 Assume silicon, room temperature, complete ionization.

    E-Print Network [OSTI]

    Wang, Deli

    ECE 103 Solid State Electronics Master Exam 2012 Assume silicon, room temperature, complete ionization. (q=1.6×10-19 C, ox=3.9×8.85×10-14 F/cm, si=11.7×8.85×10-14 F/cm, kT/q=0.0259 V, Eg=1.12 e

  4. Residential Retrofit Program Design Guide

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergy BillsNo. 195 - Oct.7, 2015VerizonResidentialRebateTaxfor theRenewable

  5. Assessment methodology for the air quality impact of residential wood burning

    SciTech Connect (OSTI)

    Lipfert, F.W.

    1981-01-01

    Data from surveys of 1977-1979 indicate that firewood usage tends to vary inversely with population density, resulting in an implied limit to the density of usage. Tests of wood stoves indicate that emissions of particulates vary inversely with heat demand, such that nighttime emissions at low combustion rates may be worse than those during maximum heat demand conditions. Finally, atmospheric dispersion rates are coupled to the driving forces of space heating so that nighttime emissions tend to have a disproportionately large impact on ambient air quality. All of these factors must be considered jointly in order to perform a meaningful assessment of the air quality impacts of increased residential wood fuel use; the results indicate that in flat terrain primary ambient standards are not threatened by residential wood combustion.

  6. 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.

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

    E-Print Network [OSTI]

    Aden, Nathaniel

    2010-01-01

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

  8. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

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

  9. Demand Responsive Lighting: A Scoping Study

    E-Print Network [OSTI]

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-01

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

  10. Installation and Commissioning Automated Demand Response Systems

    E-Print Network [OSTI]

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

    2008-01-01

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

  11. Coupling Renewable Energy Supply with Deferrable Demand

    E-Print Network [OSTI]

    Papavasiliou, Anthony

    2011-01-01

    8.4 Demand Response Integration . . . . . . . . . . .for each day type for the demand response study - moderatefor each day type for the demand response study - deep

  12. Strategies for Demand Response in Commercial Buildings

    E-Print Network [OSTI]

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

    2006-01-01

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

  13. Demand Responsive Lighting: A Scoping Study

    E-Print Network [OSTI]

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-01

    2 2.0 Demand ResponseFully Automated Demand Response Tests in Large Facilities,was coordinated by the Demand Response Research Center and

  14. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

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

  15. Hawaiian Electric Company Demand Response Roadmap Project

    E-Print Network [OSTI]

    Levy, Roger

    2014-01-01

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

  16. Retail Demand Response in Southwest Power Pool

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2009-01-01

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

  17. Demand Response - Policy | Department of Energy

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

    Coordination of Energy Efficiency and Demand Response Demand Response in U.S. Electricity Markets: Empirical Evidence 2009 Retail Demand Response in Southwest Power Pool (January...

  18. Demand Response as a System Reliability Resource

    E-Print Network [OSTI]

    Joseph, Eto

    2014-01-01

    Barat, and D. Watson. 2007. Demand Response Spinning ReserveKueck, and B. Kirby. 2009. Demand Response Spinning Reserveand B. Kirby. 2012. The Demand Response Spinning Reserve

  19. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

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

    2008-01-01

    duty fuel demand in alternate scenarios. ..for light-duty fuel demand in alternate scenarios. Minimum52 Heavy-duty vehicle fuel demand for each alternate

  20. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

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

    2008-01-01

    2006-2016: Staff energy demand forecast (Revised SeptemberCEC (2005b) Energy demand forecast methods report.California energy demand 2003-2013 forecast. California

  1. Evaluation of evolving residential electricity tariffs

    SciTech Connect (OSTI)

    Lai, Judy; DeForest, Nicholas; Kiliccote, Sila; Stadler, Michael; Marnay, Chris; Donadee, Jon

    2011-05-15

    Residential customers in California's Pacific Gas and Electric (PG&E) territory have seen several electricity rate structure changes in the past decade. This poster: examines the history of the residential pricing structure and key milestones; summarizes and analyzes the usage between 2006 and 2009 for different baseline/climate areas; discusses the residential electricity Smart Meter roll out; and compares sample bills for customers in two climates under the current pricing structure and also the future time of use (TOU) structure.

  2. The Pacific Northwest Demand Response Market Demonstration

    SciTech Connect (OSTI)

    Chassin, David P.; Hammerstrom, Donald J.; DeSteese, John G.

    2008-07-20

    This paper describes the implementation and results of a field demonstration wherein residential electric water heaters and thermostats, commercial building space conditioning, municipal water pump loads, and several distributed generators were coordinated to manage constrained feeder electrical distribution through the two-way communication of load status and electric price signals. The field demonstration took place in Washington and Oregon and was paid for by the U.S. Department of Energy and several northwest utilities. Price is found to be an effective control signal for managing transmission or distribution congestion. Real-time signals at 5-minute intervals are shown to shift controlled load in time. The behaviors of customers and their responses under fixed, time-ofuse, and real-time price contracts are compared. Peak loads are effectively reduced on the experimental feeder. A novel application of portfolio theory is applied to the selection of an optimal mix of customer contract types. Index Terms—demand response, power markets, retail markets, distribution automation, distributed resources, load control.

  3. Better Buildings Residential Network Workforce/ Business Partners...

    Energy Savers [EERE]

    and Resources Call Slides and Discussion Summary August 14, 2014 Agenda Call Logistics and Introductions Residential Network and Peer Exchange Call Overview ...

  4. Clallam County PUD- Residential Efficiency Rebate Program

    Broader source: Energy.gov [DOE]

    Clallam County PUD offers a variety of rebates for residential customers for energy efficiency improvements. Eligible measures and incentives include window upgrades, insulation, air and duct...

  5. Central Hudson Gas & Electric (Electric) - Residential Energy...

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

    residential electric customers who upgrade heating, cooling or ventilation systems with specific types of energy efficient equipment. These rebates include efficient central air...

  6. Arkansas Oklahoma Gas (AOG) Residential Rebate Program

    Broader source: Energy.gov [DOE]

    Arkansas Oklahoma Gas (AOG) provides financial incentives to its residential and small commercial customers for both existing and new construction homes and small business whose primary fuel for...

  7. Better Buildings Residential Network Program Sustainability Peer...

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

    Residential Network Program Sustainability Peer Exchange Call: Operating as a Prime Contractor Call Slides and Discussion Summary Agenda - Operating as a Prime Contractor * Call...

  8. EWEB- Residential Energy Efficiency Rebate Programs

    Broader source: Energy.gov [DOE]

    Eugene Water and Electric Board (EWEB) provides cash incentives to help residential customers increase the energy efficiency of homes through several different rebate programs. Rebates are provided...

  9. Fact Sheet: Better Buildings Residential Network | Department...

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

    Better Buildings Residential Network, increasing the number of American Homes that are energy efficient. BBRN Fact Sheet More Documents & Publications Fact Sheet - Better...

  10. Charlottesville Gas- Residential Energy Efficiency Rebate Program

    Broader source: Energy.gov [DOE]

    Charlottesville Gas offers rebates to residential customers for purchasing and installing specified energy efficient equipment. Rebates and utility bill credits of up to $100 are available for...

  11. RESIDENTIAL THERMOSTATS: COMFORT CONTROLS IN CALIFORNIA HOMES

    E-Print Network [OSTI]

    Meier, Alan K.

    2008-01-01

    for Residential Winter and Summer Air Conditioning.Air Conditioning Contractors of America. Washington, DC.refrigerating and Air-conditioning Engineers, Atlanta, GA.

  12. Florida Public Utilities- Residential HVAC Rebate Program

    Broader source: Energy.gov [DOE]

    Florida Public Utilities offers rebates to electric residential customers who improve the efficiency of homes. Central air conditioners and heat pumps which meet program requirements are eligible...

  13. East Central Electric Cooperative- Residential Rebate Program

    Broader source: Energy.gov [DOE]

    East Central Electric Cooperative offers rebates to residential customers to install energy-efficient ground source heat pumps, electric water heaters, and appliances. To qualify for the rebate...

  14. CPS Energy- Residential Energy Efficiency Rebate Program

    Broader source: Energy.gov [DOE]

    CPS Energy offers a variety of rebates for energy efficiency related improvements to residential homes, including: appliances, HVAC equipment, insulation, and equipment recycling.. Rebate...

  15. Clark Energy - Residential Energy Efficiency Rebate Programs...

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

    Touchstone Energy Home with Air-SourceGeothermal Heat Pump: 250 - 750 Summary Clark Energy offers a free energy audit to provide residential customers with suggestions on ways...

  16. Consumers Energy (Gas)- Residential Energy Efficiency Program

    Broader source: Energy.gov [DOE]

    The Residential Income Qualified Energy Efficiency Program is working with existing Michigan Weatherization Assistance Program delivery to support weatherization providers with more funding for...

  17. Santee Cooper- Residential Energy Efficiency Rebate Program

    Broader source: Energy.gov [DOE]

    Santee Cooper, through its Reduce The Use program, provides rebates to residential customers for the purchase and installation of energy efficient equipment and measures. Rebates are available on...

  18. MassSAVE (Gas)- Residential Rebate Program

    Office of Energy Efficiency and Renewable Energy (EERE)

    MassSAVE, through Gas Networks, organizes residential conservation services for programs administered by Massachusetts electric companies, gas companies and municipal aggregators. These utilities...

  19. Lumbee River EMC- Residential Energy Efficiency Program

    Broader source: Energy.gov [DOE]

    Lumbee River EMC (LREMC) offers rebates to its residential customers who purchase and install qualified energy efficient products or services. Rebates are available for water heaters, refrigerator...

  20. (Electric and Gas) Residential New Construction Program

    Broader source: Energy.gov [DOE]

    The Energize CT offers a program designed to encourage the construction of energy efficient homes. The Residential New Construction Program offers incentives targeted at increasing energy...

  1. Building America Residential Energy Efficiency Stakeholders Meeting...

    Energy Savers [EERE]

    Energy Efficiency Stakeholders Meeting: March 2011 Building America Residential Energy Efficiency Stakeholders Meeting: March 2011 On this page, you may link to the summary report...

  2. Building America Residential Energy Efficiency Research Planning...

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

    Research Planning Meeting: October 2011 Building America Residential Energy Efficiency Research Planning Meeting: October 2011 On this page, you may link to the summary report and...

  3. Building America Residential Buildings Energy Efficiency Meeting...

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

    Buildings Energy Efficiency Meeting: July 2010 Building America Residential Buildings Energy Efficiency Meeting: July 2010 On this page, you may link to the summary report and...

  4. MEASURING RADON SOURCE MAGNITUDE IN RESIDENTIAL BUILDINGS

    E-Print Network [OSTI]

    Nazaroff, W.W.

    2010-01-01

    Alpha Scintillation for Radon," Rev. Scl Instrum. 28, 680-H.F. , "Alpha Scintillation Radon Counting," in Workshop on1981, Study of Residential Radon A Survey Levels, Geomet

  5. Waseca Utilities- Residential Energy Efficiency Rebate Program

    Broader source: Energy.gov [DOE]

    Develops innovative products and services to help them deliver value to customers. With help from SMMPA, Waseca Utilities provides incentives for residential and commercial customers to improve t...

  6. Pennsylvania Residential Energy Code Field Study

    Broader source: Energy.gov [DOE]

    Lead Performer: Performance Systems Development – Philadelphia, PADOE Total Funding: $690,844Cost Share: $172,711Project Term: 2014 – 2017Funding Opportunity: Strategies to Increase Residential...

  7. Better Buildings Residential Network Marketing & Outreach Peer...

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

    less than 2% to 65% Ecolibrium3's Duluth Energy Efficiency Program DOE Better Buildings Residential Program Solution Center Ecolibrium3's Duluth Energy Efficiency Program...

  8. Farmers RECC- Residential Insulation Rebate Program

    Broader source: Energy.gov [DOE]

    The Farmers Rural Electric Cooperative (RECC) Button-Up Program provides free energy audits and rebates for insulation upgrades to its residential customers. Farmers RECC's energy advisor will...

  9. Creative Financing Approaches for Residential Energy Efficiency...

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

    Efficiency Programs Call Slides and Discussion Summary June 25, 2015 Agenda Call Logistics and Introductions Residential Network and Peer Exchange Call Overview ...

  10. Better Buildings Residential Network Orientation Webinar Call...

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

    Orientation Webinar Call Slides and Summary September 11, 2014 Agenda Call Logistics and Introductions Opening Polls Better Buildings Residential Network Presentation...

  11. Better Buildings Residential Network (BBRN) Orientation Call...

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

    (BBRN) Orientation Call Slides and Summary March 27, 2014 Agenda Call Logistics and Introductions Opening Polls Better Buildings Residential Network Presentation ...

  12. Better Buildings Residential Network | Department of Energy

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

    Buildings Residential Network What's Happening on Home Energy Pros?* Explore the Third Edition of Peer Exchange Call Lessons Learned Join the conversation on Home Energy Pros,...

  13. Covered Product Category: Residential Central Air Conditioners...

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

    acquisition guidance for residential central air conditioners (CACs), which are an ENERGY STAR-qualified product category. Federal laws and requirements mandate that...

  14. Shark Tank: Residential Energy Efficiency Edition

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

    Peer Exchange Call Series: Shark Tank: Residential Energy Efficiency Edition Call Slides and Discussion Summary June 11, 2015 Agenda Introduction and Better Buildings...

  15. Idaho Power- Residential Energy Efficiency Rebate Programs

    Broader source: Energy.gov [DOE]

    Idaho Power offers a variety of incentives for the installation of heating and cooling systems for residential customers living in both Oregon and Idaho. 

  16. Columbia Water & Light- Residential HVAC Rebates

    Broader source: Energy.gov [DOE]

    Columbia Water & Light (CWL) provides residential customers with rebates on energy efficient HVAC equipment. Customers should submit the mechanical permit from a Protective Inspection, a copy...

  17. Better Buildings Residential Network Financing & Revenue Peer...

    Energy Savers [EERE]

    House - the deeper the retrofit, the lower the rate * Enhanced with ARRA funds in Philadelphia market * Secured Loans to 120% LTV via Power Saver * Efficiency Maine * Residential...

  18. National Residential Efficiency Measures Database Webinar Slides...

    Energy Savers [EERE]

    binar20100324openpvquniby.pdf Solar Energy - Capturing and Using Power and Heat from the Sun Building America Webinar: National Residential Efficiency Measures Database Unveiled...

  19. Austin Energy- Residential Energy Efficiency Rebate Program

    Broader source: Energy.gov [DOE]

    Austin Energy offers incentives to its residential customers to encourage the use of energy efficient equipment and measures. Rebates are available for qualified HVAC equipment and weatherization...

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

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

    required - Commercial Duct RepairReplacement: 500 Lighting: 5,000 Geothermal Heat Pumps: 5,000 (Residential), contact REU for Commercial Program Info Sector Name...

  1. Residential Buildings Integration | Department of Energy

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

    the Latest in Energy Efficient Building Technology. Learn More The Building Technologies Office (BTO) collaborates with the residential building industry to improve the...

  2. Residential hybrid power for load leveling and efficiency gains: A concept overview

    SciTech Connect (OSTI)

    Wilhelm, W.G.; Mubayi, V.; Salzano, F.

    1986-04-01

    In this new concept, a local direct current (DC) power distribution system for residential consumers is proposed for its advantages to both the utility and its customers. The DC distribution is limited to the short spans emanating from the residential power terminal. Alternating current power is maintained for its transmission advantages to the load center of the residence and is there converted to low voltage direct current for distribution in the house. This approach used in combination with electronically monitored appliance-resident electrical storage constitutes the basics of a new system that promises greatly improved load management and higher operating efficiency. The objective in this concept is to make the residential customer look like a quasi-steady state power consumer with the additional option for load shedding without any disturbance in service. Even utilities with a good overall match between supply and demand can benefit from this new approach and cut operating cost by redistributing demand more evenly throughout the hours of the day. The basic object is to improve the utility load curves by smoothing out the peaks and valleys of customer demand without resorting to the complex assorted options being considered today.

  3. 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...

  4. Do Photovoltaic Energy Systems Effect Residential Selling Prices? Results from a California Statewide Investigation.

    E-Print Network [OSTI]

    Hoen, Ben

    2012-01-01

    PHOTOVOLTAIC ENERGY SYSTEMS AFFECT RESIDENTIAL SELLING PRICES?PHOTOVOLTAIC ENERGY SYSTEMS AFFECT RESIDENTIAL SELLING PRICES?

  5. Advanced Controls and Sustainable Systems for Residential Ventilation

    E-Print Network [OSTI]

    Turner, William J.N.

    2014-01-01

    Demand Response .with ASHRAE 62.2 2. demand response – the shifting (andPeak Energy Demand and Demand Response ‘Peak energy demand

  6. Supply Chain Supernetworks With Random Demands

    E-Print Network [OSTI]

    Nagurney, Anna

    Supply Chain Supernetworks With Random Demands June Dong Ding Zhang School of Business State Field Warehouses: stocking points Customers, demand centers sinks Production/ purchase costs Inventory Customer Demand Customer Demand Retailer OrdersRetailer Orders Distributor OrdersDistributor Orders

  7. Marketing & Driving Demand Collaborative - Social Media Tools...

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

    & Driving Demand Collaborative - Social Media Tools & Strategies Marketing & Driving Demand Collaborative - Social Media Tools & Strategies Presentation slides from the Better...

  8. Retail Demand Response in Southwest Power Pool

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2009-01-01

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

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

    Office of Environmental Management (EM)

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

  10. Effects of the drought on California electricity supply and demand

    E-Print Network [OSTI]

    Benenson, P.

    2010-01-01

    Acknowledgments SUMMARY Electricity Demand ElectricityAdverse Impacts ELECTRICITY DEMAND . . . .Demand forElectricity Sales Electricity Demand by Major Utility

  11. You Are My Sunshine: Integrating Residential Solar and Energy...

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

    You Are My Sunshine: Integrating Residential Solar and Energy Efficiency (301) You Are My Sunshine: Integrating Residential Solar and Energy Efficiency (301) October 15...

  12. Duke Energy (Electric)- Residential Energy Efficiency Rebate Program

    Broader source: Energy.gov [DOE]

    The Smart $aver® program offers incentives for residential customers to increase residential energy efficiency. Incentives are provided for qualifying heating and cooling equipment installation and...

  13. El Paso Electric Company- Residential Efficiency Program (New Mexico)

    Broader source: Energy.gov [DOE]

    EPE offers incentives to residential customers in its New Mexico service territory that purchase and install high efficiency equipment for residential use. Eligible equipment includes air...

  14. Residential Energy Consumption Survey Results: Total Energy Consumptio...

    Open Energy Info (EERE)

    Residential Energy Consumption Survey Results: Total Energy Consumption, Expenditures, and Intensities (2005) The Residential Energy Consumption Survey (RECS) is a national survey...

  15. Financing Residential Energy Efficiency with Carbon Offsets Transcript...

    Energy Savers [EERE]

    Financing Residential Energy Efficiency with Carbon Offsets Transcript Financing Residential Energy Efficiency with Carbon Offsets Transcript This document contains the transcript...

  16. Guide to Benchmarking Residential Program Progress - CALL FOR...

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

    Raise your hand Submit text questions 2 Better Buildings Residential Network Better Buildings Residential Network: Connects energy efficiency programs and partners to share...

  17. Better Buildings Residential Network All-Member Peer Exchange...

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

    Better Buildings Residential Network Member Reporting and Benefits Overview Jonathan Cohen DOE Better Buildings Residential Network Benefits of Reporting IMPACT: Sharing the...

  18. BPM Motors in Residential Gas Furnaces: What are the Savings?

    E-Print Network [OSTI]

    Lutz, James; Franco, Victor; Lekov, Alex; Wong-Parodi, Gabrielle

    2006-01-01

    Evaluation of Residential Furnace Blower Performance.Infinity 80 Variable Speed Furnace. August. Farmington,Standards for Residential Furnaces and Boilers; Proposed

  19. Focus Series: Maine - Residential Direct Install Program | Department...

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

    Better Buildings Neighborhood Program Focus Series: Maine - Residential Direct Install Program: Residential Air Sealing Program Drives Maine Home Energy Savings Through the Roof....

  20. New England Gas Company - Residential and Commercial Energy Efficiency...

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

    England Gas Company - Residential and Commercial Energy Efficiency Rebate Programs New England Gas Company - Residential and Commercial Energy Efficiency Rebate Programs < Back...

  1. Philadelphia Gas Works- Residential and Small Business Equipment Rebate Program

    Broader source: Energy.gov [DOE]

    Philadelphia Gas Works' (PGW) Residential Heating Equipment rebates are available to all PGW residential or small business customers installing high efficiency boilers and furnaces, and programma...

  2. Building America Research Teams: Spotlight on Alliance for Residential...

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

    Alliance for Residential Building Innovation (ARBI) and Building America Research Alliance (BARA) Building America Research Teams: Spotlight on Alliance for Residential Building...

  3. Inspiring and Building the Next Generation of Residential Energy...

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

    Inspiring and Building the Next Generation of Residential Energy Professionals Inspiring and Building the Next Generation of Residential Energy Professionals April 29, 2014 -...

  4. Energy Department Announces $5 Million for Residential Building...

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

    5 Million for Residential Building Energy Efficiency Research and University-Industry Partnerships Energy Department Announces 5 Million for Residential Building Energy Efficiency...

  5. 2011 Residential Energy Efficiency Technical Update Meeting Summary...

    Energy Savers [EERE]

    2011 Residential Energy Efficiency Technical Update Meeting Summary Report: Denver, Colorado - August 9-11, 2011 2011 Residential Energy Efficiency Technical Update Meeting Summary...

  6. Summary of Gaps and Barriers for Implementing Residential Building...

    Energy Savers [EERE]

    Gaps and Barriers for Implementing Residential Building Energy Efficiency Strategies Summary of Gaps and Barriers for Implementing Residential Building Energy Efficiency Strategies...

  7. EIA Energy Efficiency-Residential Sector Energy Intensities,...

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

    Residential Sector Energy Intensities RESIDENTIAL SECTOR ENERGY INTENSITIES: 1978-2005 Released Date: August 2004 Page Last Modified:June 2009 These tables provide estimates of...

  8. Clean Energy Finance Guide for Residential and Commercial Building...

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

    Finance Guide for Residential and Commercial Building Improvements - Chapter 6 Clean Energy Finance Guide for Residential and Commercial Building Improvements - Chapter 6 Clean...

  9. Regional Variation in Residential Heat Pump Water Heater Performance...

    Energy Savers [EERE]

    Regional Variation in Residential Heat Pump Water Heater Performance in the United States Regional Variation in Residential Heat Pump Water Heater Performance in the United States...

  10. Residential Cold Climate Heat Pump with Variable-Speed Technology...

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

    Residential Cold Climate Heat Pump with Variable-Speed Technology Residential Cold Climate Heat Pump with Variable-Speed Technology Purdue prototype system Purdue prototype system...

  11. Keeping It Simple from the Customer's Perspective - Residential...

    Energy Savers [EERE]

    Keeping It Simple from the Customer's Perspective - Residential Program Design Keeping It Simple from the Customer's Perspective - Residential Program Design Provides information...

  12. DOE Webinar ? Residential Geothermal Heat Pump Retrofits (Presentatio...

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

    DOE Webinar Residential Geothermal Heat Pump Retrofits (Presentation) DOE Webinar Residential Geothermal Heat Pump Retrofits (Presentation) Presented at the U.S. Department...

  13. Kerosene Sales for Residential Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 155 422,41405,136

  14. Residential propane price is unchanged

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residential propane price

  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. Residential Building Stockg Assessment (RBSA)for

    E-Print Network [OSTI]

    9/4/2013 1 Residential Building Stockg Assessment (RBSA)for Multi-Family Housing Tom Eckman Objectives Characterize Residential Sector Building Stock ­ Single Family (Four-plex and below) l if il ( i representation Characterize Buildings ­ Detailed On Site Energy Audit, including lighting survey ­ Basic

  17. Ozone Reductions using Residential Building Envelopes

    E-Print Network [OSTI]

    for Energy Efficiency and Renewable Energy, Building Technologies Program, of the U.S. Department of Energy Residential Building Envelopes Prepared For: California Energy Commission Public Interest Energy ResearchOzone Reductions using Residential Building Envelopes I.S. Walker, M.H. Sherman and W.W. Nazaroff

  18. Residential ventilation standards scoping study

    SciTech Connect (OSTI)

    McKone, Thomas E.; Sherman, Max H.

    2003-10-01

    The goals of this scoping study are to identify research needed to develop improved ventilation standards for California's Title 24 Building Energy Efficiency Standards. The 2008 Title 24 Standards are the primary target for the outcome of this research, but this scoping study is not limited to that timeframe. We prepared this scoping study to provide the California Energy Commission with broad and flexible options for developing a research plan to advance the standards. This document presents the findings of a scoping study commissioned by the Public Interest Energy Research (PIER) program of the California Energy Commission to determine what research is necessary to develop new residential ventilation requirements for California. This study is one of three companion efforts needed to complete the job of determining the ventilation needs of California residences, determining the bases for setting residential ventilation requirements, and determining appropriate ventilation technologies to meet these needs and requirements in an energy efficient manner. Rather than providing research results, this scoping study identifies important research questions along with the level of effort necessary to address these questions and the costs, risks, and benefits of pursuing alternative research questions. In approaching these questions and corresponding levels of effort, feasibility and timing were important considerations. The Commission has specified Summer 2005 as the latest date for completing this research in time to update the 2008 version of California's Energy Code (Title 24).

  19. Modeling diffusion of electrical appliances in the residential sector

    SciTech Connect (OSTI)

    McNeil, Michael A.; Letschert, Virginie E.

    2009-11-22

    This paper presents a methodology for modeling residential appliance uptake as a function of root macroeconomic drivers. The analysis concentrates on four major energy end uses in the residential sector: refrigerators, washing machines, televisions and air conditioners. The model employs linear regression analysis to parameterize appliance ownership in terms of household income, urbanization and electrification rates according to a standard binary choice (logistic) function. The underlying household appliance ownership data are gathered from a variety of sources including energy consumption and more general standard of living surveys. These data span a wide range of countries, including many developing countries for which appliance ownership is currently low, but likely to grow significantly over the next decades as a result of economic development. The result is a 'global' parameterization of appliance ownership rates as a function of widely available macroeconomic variables for the four appliances studied, which provides a reliable basis for interpolation where data are not available, and forecasting of ownership rates on a global scale. The main value of this method is to form the foundation of bottom-up energy demand forecasts, project energy-related greenhouse gas emissions, and allow for the construction of detailed emissions mitigation scenarios.

  20. Tool for Generating Realistic Residential Hot Water Event Schedules: Preprint

    SciTech Connect (OSTI)

    Hendron, B.; Burch, J.; Barker, G.

    2010-08-01

    The installed energy savings for advanced residential hot water systems can depend greatly on detailed occupant use patterns. Quantifying these patterns is essential for analyzing measures such as tankless water heaters, solar hot water systems with demand-side heat exchangers, distribution system improvements, and recirculation loops. This paper describes the development of an advanced spreadsheet tool that can generate a series of year-long hot water event schedules consistent with realistic probability distributions of start time, duration and flow rate variability, clustering, fixture assignment, vacation periods, and seasonality. This paper also presents the application of the hot water event schedules in the context of an integral-collector-storage solar water heating system in a moderate climate.

  1. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01

    A Joint Model of the Global Crude Oil Market and the U.S.Noureddine. 2002. World crude oil and natural gas: a demandelasticity of demand for crude oil, not gasoline. Results

  2. Demand and Price Uncertainty: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01

    A Joint Model of the Global Crude Oil Market and the U.S.Noureddine. 2002. World crude oil and natural gas: a demandelasticity of demand for crude oil, not gasoline. Results

  3. Addressing Energy Demand through Demand Response: International Experiences and Practices

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

    electricity. In this manner, demand side management is directly integrated into the wholesale capacity marketcapacity market U.S. Federal Energy Regulatory Commission Florida Reliability Coordinating Council incremental auctions independent electricity

  4. Demand and Price Uncertainty: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01

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

  5. Hawaiian Electric Company Demand Response Roadmap Project

    E-Print Network [OSTI]

    Levy, Roger

    2014-01-01

    target residential water heaters and air conditioners usingStrategies for Water Heaters and Air Conditioners Voluntaryor snapback of load. Water heaters and air conditioners have

  6. Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China

    SciTech Connect (OSTI)

    Zhou, Nan; McNeil, Michael A.; Levine, Mark

    2009-06-01

    China's rapid economic expansion has propelled it to the rank of the largest energy consuming nation in the world, with energy demand growth continuing at a pace commensurate with its economic growth. The urban population is expected to grow by 20 million every year, accompanied by construction of 2 billion square meters of buildings every year through 2020. Thus residential energy use is very likely to continue its very rapid growth. Understanding the underlying drivers of this growth helps to identify the key areas to analyze energy efficiency potential, appropriate policies to reduce energy use, as well as to understand future energy in the building sector. This paper provides a detailed, bottom-up analysis of residential building energy consumption in China using data from a wide variety of sources and a modelling effort that relies on a very detailed characterization of China's energy demand. It assesses the current energy situation with consideration of end use, intensity, and efficiency etc, and forecast the future outlook for the critical period extending to 2020, based on assumptions of likely patterns of economic activity, availability of energy services, technology improvement and energy intensities. From this analysis, we can conclude that Chinese residential energy consumption will more than double by 2020, from 6.6 EJ in 2000 to 15.9 EJ in 2020. This increase will be driven primarily by urbanization, in combination with increases in living standards. In the urban and higher income Chinese households of the future, most major appliances will be common, and heated and cooled areas will grow on average. These shifts will offset the relatively modest efficiency gains expected according to current government plans and policies already in place. Therefore, levelling and reduction of growth in residential energy demand in China will require a new set of more aggressive efficiency policies.

  7. Residential

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100National Laboratory Researchers create enormous20152015

  8. Residential

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultiday Production of SOAResearchers BorrowHistorical Resourcesdefault

  9. 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.

  10. Physically-based demand modeling 

    E-Print Network [OSTI]

    Calloway, Terry Marshall

    1980-01-01

    nts on the demand. Of course the demand of a real a1r cond1t1oner has lower and upper bounds equal to 0 and 0 , respec- u tively. A constra1ned system can be simulated numerically, but there 1s no explicit system response formula s1m11ar... sect1on. It may now be instruct1ve to relate this model to that of Jones and Bri ce [5] . The average demand pred1 cted by their model is the expected value of the product of a load response factor 0 and a U sw1tching process H(t), which depends...

  11. Seasonality in air transportation demand

    E-Print Network [OSTI]

    Reichard Megwinoff, H?tor Nicolas

    1988-01-01

    This thesis investigates the seasonality of demand in air transportation. It presents three methods for computing seasonal indices. One of these methods, the Periodic Average Method, is selected as the most appropriate for ...

  12. Demand response enabling technology development

    E-Print Network [OSTI]

    2006-01-01

    Monitoring in an Agent-Based Smart Home, Proceedings of theConference on Smart Homes and Health Telematics, September,Smart Meter Motion sensors Figure 1: Schematic of the Demand Response Electrical Appliance Manager in a Home.

  13. Full Rank Rational Demand Systems

    E-Print Network [OSTI]

    LaFrance, Jeffrey T; Pope, Rulon D.

    2006-01-01

    Dover Publications 1972. Barnett, W.A. and Y.W. Lee. “TheEconometrica 53 (1985): 1421- Barnett, W.A. , Lee, Y.W. ,Laurent demand systems (Barnett and Lee 1985; Barnett, Lee,

  14. Marketing Demand-Side Management 

    E-Print Network [OSTI]

    O'Neill, M. L.

    1988-01-01

    Demand-Side Management is an organizational tool that has proven successful in various realms of the ever changing business world in the past few years. It combines the multi-faceted desires of the customers with the increasingly important...

  15. Energy Efficiency & On-Bill Financing for Samll Business & Residential

    Office of Energy Efficiency and Renewable Energy (EERE)

    Details on Connecticut Energy Efficiency Fund and its benefits to small businesses and residential customers.

  16. Comparing Residential Furnace Blowers for

    E-Print Network [OSTI]

    for Energy Efficiency and Renewable Energy, Building Technologies Program, of the U.S. Department of Energy to determine potential energy and peak demand impacts. The results show distinct differences between the two Environmental Energy Technologies Division February 2007 This work was supported by the Assistant Secretary

  17. 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.

  18. 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.

  19. 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.

  20. Demand Response Spinning Reserve Demonstration

    SciTech Connect (OSTI)

    Eto, Joseph H.; Nelson-Hoffman, Janine; Torres, Carlos; Hirth,Scott; Yinger, Bob; Kueck, John; Kirby, Brendan; Bernier, Clark; Wright,Roger; Barat, A.; Watson, David S.

    2007-05-01

    The Demand Response Spinning Reserve project is a pioneeringdemonstration of how existing utility load-management assets can providean important electricity system reliability resource known as spinningreserve. Using aggregated demand-side resources to provide spinningreserve will give grid operators at the California Independent SystemOperator (CAISO) and Southern California Edison (SCE) a powerful, newtool to improve system reliability, prevent rolling blackouts, and lowersystem operating costs.

  1. Residential solar home resale analysis

    SciTech Connect (OSTI)

    Noll, S.A.

    1980-01-01

    One of the determinants of the market acceptance of solar technologies in the residential housing sector is the value placed upon the solar property at the time of resale. The resale factor is shown to be an important economic parameter when net benefits of the solar design are considered over a typical ownership cycle rather than the life cycle of the system. Although a study of solar resale in Davis, Ca, indicates that those particular homes have been appreciating in value faster than nonsolar market comparables, no study has been made that would confirm this conclusion for markets in other geograhical locations with supporting tests of statistical significance. The data to undertake such an analysis is available through numerous local sources; however, case by case data collection is prohibitively expensive. A recommended alternative approach is to make use of real estate market data firms who compile large data bases and provide multi-variate statistical analysis packages.

  2. Open Automated Demand Response Communications in Demand Response for Wholesale Ancillary Services

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01

    A. Barat, D. Watson. 2006 Demand Response Spinning ReserveKueck, and B. Kirby 2008. Demand Response Spinning ReserveReport 2009. Open Automated Demand Response Communications

  3. Demand Response and Open Automated Demand Response Opportunities for Data Centers

    E-Print Network [OSTI]

    Mares, K.C.

    2010-01-01

    Standardized Automated Demand Response Signals. Presented atand Automated Demand Response in Industrial RefrigeratedActions for Industrial Demand Response in California. LBNL-

  4. Optimal Demand Response and Power Flow

    E-Print Network [OSTI]

    Willett, Rebecca

    Optimal Demand Response and Power Flow Steven Low Computing + Math Sciences Electrical Engineering #12;Outline Optimal demand response n With L. Chen, L. Jiang, N. Li Optimal power flow n With S. Bose;Optimal demand response Model Results n Uncorrelated demand: distributed alg n Correlated demand

  5. Micro-CHP Systems for Residential Applications

    SciTech Connect (OSTI)

    Timothy DeValve; Benoit Olsommer

    2007-09-30

    Integrated micro-CHP (Cooling, Heating and Power) system solutions represent an opportunity to address all of the following requirements at once: conservation of scarce energy resources, moderation of pollutant release into our environment, and assured comfort for home-owners. The objective of this effort was to establish strategies for development, demonstration, and sustainable commercialization of cost-effective integrated CHP systems for residential applications. A unified approach to market and opportunity identification, technology assessment, specific system designs, adaptation to modular product platform component conceptual designs was employed. UTRC's recommendation to U.S. Department of Energy is to go ahead with the execution of the proposed product development and commercialization strategy plan under Phase II of this effort. Recent indicators show the emergence of micro-CHP. More than 12,000 micro-CHP systems have been sold worldwide so far, around 7,500 in 2004. Market projections predict a world-wide market growth over 35% per year. In 2004 the installations were mainly in Europe (73.5%) and in Japan (26.4%). The market in North-America is almost non-existent (0.1%). High energy consumption, high energy expenditure, large spark-spread (i.e., difference between electricity and fuel costs), big square footage, and high income are the key conditions for market acceptance. Today, these conditions are best found in the states of New York, Pennsylvania, New Jersey, Wisconsin, Illinois, Indiana, Michigan, Ohio, New England states. A multiple stage development plan is proposed to address risk mitigation. These stages include concept development and supplier engagement, component development, system integration, system demonstration, and field trials. A two stage commercialization strategy is suggested based on two product versions. The first version--a heat and power system named Micro-Cogen, provides the heat and essential electrical power to the homeowner. In its proposed embodiment, the system has a 2kW prime mover integrated to a furnace platform. The second version is a Micro-Trigen system with heating, cooling and power. It has the same Micro-Cogen platform integrated with a 14kW thermally activated chiller. A Stirling engine is suggested as a promising path for the prime mover. A LiBr absorption chiller is today's best technology in term of readiness level. Paybacks are acceptable for the Micro-Cogen version. However, there is no clear economically viable path for a Micro-Trigen version with today's available technology. This illustrates the importance of financial incentives to home owners in the initial stage of micro-CHP commercialization. It will help create the necessary conditions of volume demand to start transitioning to mass-production and cost reduction. Incentives to the manufacturers will help improve efficiency, enhance reliability, and lower cost, making micro-CHP products more attractive. Successful development of a micro-CHP system for residential applications has the potential to provide significant benefits to users, customers, manufacturers, and suppliers of such systems and, in general, to the nation as a whole. The benefits to the ultimate user are a comfortable and healthy home environment at an affordable cost, potential utility savings, and a reliable supply of energy. Manufacturers, component suppliers, and system integrators will see growth of a new market segment for integrated energy products. The benefits to the nation include significantly increased energy efficiency, reduced consumption of fossil fuels, pollutant and CO{sub 2} emissions from power generation, enhanced security from power interruptions as well as enhanced economic activity and job creation. An integrated micro-CHP energy system provides advantages over conventional power generation, since the energy is used more efficiently by means of efficient heat recovery. Foreign companies are readily selling products, mostly in Europe, and it is urgent to react promptly to these offerings that will soon emerge on the U.S

  6. 120 years of U.S. residential housing stock and floor space

    SciTech Connect (OSTI)

    Moura, Maria Cecilia P.; Smith, Steven J.; Belzer, David B.; Zhou, Wei -Xing

    2015-08-11

    Residential buildings are a key driver of energy consumption and also impact transportation and land-use. Energy consumption in the residential sector accounts for one-fifth of total U.S. energy consumption and energy-related CO? emissions, with floor space a major driver of building energy demands. In this work a consistent, vintage-disaggregated, annual long-term series of U.S. housing stock and residential floor space for 1891–2010 is presented. An attempt was made to minimize the effects of the incompleteness and inconsistencies present in the national housing survey data. Over the 1891–2010 period, floor space increased almost tenfold, from approximately 24,700 to 235,150 million square feet, corresponding to a doubling of floor space per capita from approximately 400 to 800 square feet. While population increased five times over the period, a 50% decrease in household size contributed towards a tenfold increase in the number of housing units and floor space, while average floor space per unit remains surprisingly constant, as a result of housing retirement dynamics. In the last 30 years, however, these trends appear to be changing, as household size shows signs of leveling off, or even increasing again, while average floor space per unit has been increasing. GDP and total floor space show a remarkably constant growth trend over the period and total residential sector primary energy consumption and floor space show a similar growth trend over the last 60 years, decoupling only within the last decade.

  7. Current Status and Future Scenarios of Residential Building Energy Consumption in China

    SciTech Connect (OSTI)

    Zhou, Nan; Nishida, Masaru; Gao, Weijun

    2008-12-01

    China's rapid economic expansion has propelled it into the ranks of the largest energy consuming nation in the world, with energy demand growth continuing at a pace commensurate with its economic growth. Even though the rapid growth is largely attributable to heavy industry, this in turn is driven by rapid urbanization process, by construction materials and equipment produced for use in buildings. Residential energy is mostly used in urban areas, where rising incomes have allowed acquisition of home appliances, as well as increased use of heating in southern China. The urban population is expected to grow by 20 million every year, accompanied by construction of 2 billion square meters of buildings every year through 2020. Thus residential energy use is very likely to continue its very rapid growth. Understanding the underlying drivers of this growth helps to identify the key areas to analyze energy efficiency potential, appropriate policies to reduce energy use, as well as to understand future energy in the building sector. This paper provides a detailed, bottom-up analysis of residential building energy consumption in China using data from a wide variety of sources and a modeling effort that relies on a very detailed characterization of China's energy demand. It assesses the current energy situation with consideration of end use, intensity, and efficiency etc, and forecast the future outlook for the critical period extending to 2020, based on assumptions of likely patterns of economic activity, availability of energy services, technology improvement and energy intensities.

  8. Planning for water efficient cities: Landscape, microclimate, and heterogeneity in residential water demand

    E-Print Network [OSTI]

    Lassiter, Allison

    2015-01-01

    V. E. Troeger. 2007. "Efficient Estimation of Time-Invariantconsumption, this could very efficiently lead to changes inplanning contribute to water efficient development? ? Does

  9. California DREAMing: the design of residential demand responsive technology with people in mind

    E-Print Network [OSTI]

    Peffer, Therese E.

    2009-01-01

    was not the typical ZigBee 12 or powerline 13 technologytechnology and touch- ZigBee is the name of a standard for

  10. Demand response-enabled autonomous control for interior space conditioning in residential buildings.

    E-Print Network [OSTI]

    Chen, Xue

    2008-01-01

    objectives: improving energy eciency, trading electricityBerkeley. by trading the time when energy is used. Under

  11. Demand response-enabled autonomous control for interior space conditioning in residential buildings.

    E-Print Network [OSTI]

    Chen, Xue

    2008-01-01

    Spt heating Spt radiation Time [hour] map dramatically. Formap is subject to much noise due to the impact from sun radiation and

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

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2008-01-01

    water heater, Gas water heater, LPG water heater Hot WaterCooling Space Heating Coal LPG Kerosene Projection * “Mtoe”Renewable Gas Kerosene LPG Coal LPG Electricity Coal

  13. The behavioral response to voluntary provision of an environmental public good: Evidence from residential electricity demand

    E-Print Network [OSTI]

    Kotchen, Matthew J.

    and nonpartici- pants in a green-electricity program in Memphis, Tennessee. High-consumption house- holds, households participating above the minimum threshold level do not change electricity consumption, but those participating at the minimum threshold increase electricity consumption 2.5 percent after enrolling

  14. California DREAMing: the design of residential demand responsive technology with people in mind

    E-Print Network [OSTI]

    Peffer, Therese E.

    2009-01-01

    deep  I  under? often  standin feel  g of  part  how my  of the  actions  web deep understanding of how my actions affect the natural world. I often feel part of the web

  15. Planning for water efficient cities: Landscape, microclimate, and heterogeneity in residential water demand

    E-Print Network [OSTI]

    Lassiter, Allison

    2015-01-01

    Abundance: Economic Solutions to Water Scarcity. Kindle ed.and K. S. Jones. 2014. Water use Classification of Landscapearea-map. ———. . .2008. Water use during Water Shortage

  16. California DREAMing: the design of residential demand responsive technology with people in mind

    E-Print Network [OSTI]

    Peffer, Therese E.

    2009-01-01

    Refrigerating, and Air-Conditioning Engineers. Bauman, F. ,Cooper, G. (1998). Air Conditioning America: Engineers andRefrigerating and Air Conditioning Engineers, Inc. Darby,

  17. Demand response-enabled autonomous control for interior space conditioning in residential buildings.

    E-Print Network [OSTI]

    Chen, Xue

    2008-01-01

    T. Turkel, Rethinking electricity rates could reduce costs,lighting device showing electricity rates and even an alarmheater status, and electricity rate (in the context of DR),

  18. FACTORS DETERMINING RESIDENTIAL WATER DEMAND IN NORTH WESTERN ETHIOPIA, THE CASE OF MERAWI

    E-Print Network [OSTI]

    ;© 2012 Dessalegn Chanie Dagnew #12;ABSTRACT Growing populations and lack of available cost effective and employment of the head had a statistically significant positive impact on daily per capita water consumption

  19. California DREAMing: the design of residential demand responsive technology with people in mind

    E-Print Network [OSTI]

    Peffer, Therese E.

    2009-01-01

    Summer Study on Energy Efficiency in Buildings, 11, 11-14.Summer Study on Energy Efficiency in Buildings. Ehrhardt-Summer Study on Energy Efficiency in Buildings, 7, 82-97.

  20. Zoning and occupancy-moderation for residential space-conditioning under demand-driven electricity pricing

    E-Print Network [OSTI]

    Leow, Woei Ling, 1977-

    2012-01-01

    Occupancy-moderated zonal space-conditioning (OZS) refers to the partitioning of a residence into different zones and independently operating the space-conditioning equipment of each zone based on its occupancy. OZS remains ...

  1. California DREAMing: the design of residential demand responsive technology with people in mind

    E-Print Network [OSTI]

    Peffer, Therese E.

    2009-01-01

    simulation showing the cost-comfort index with energyDREAM interface with the cost-comfort index providing costbased on an occupant cost-comfort index selection and house/

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

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2008-01-01

    tackle the energy security and global warming problems.in order to tackle the energy security and global warming

  3. California DREAMing: the design of residential demand responsive technology with people in mind

    E-Print Network [OSTI]

    Peffer, Therese E.

    2009-01-01

    power consumption, energy used today, and energy used so farpower consumption, energy used today, and energy used so fari.e. , comparing today’s energy use with yesterday’s)

  4. California DREAMing: the design of residential demand responsive technology with people in mind

    E-Print Network [OSTI]

    Peffer, Therese E.

    2009-01-01

    Savings Using Occupant Behavior & Simulation: SouthernGladhart, P. M. (1990). Occupant behavior and successfuloccupant cost-comfort index selection and house/climate behavior;

  5. California DREAMing: the design of residential demand responsive technology with people in mind

    E-Print Network [OSTI]

    Peffer, Therese E.

    2009-01-01

    Solve California's Energy Crisis? IEEE Spectrum Onlineand then after the energy crisis back down to 50 footcandlesHirsh, 1999). The energy crisis marked a pivotal point in

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

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2008-01-01

    Vending Machines and Transformers Electric Rice Cookers, DVDn i a Machines, Computers, Magnetic Disk Units and Electric

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

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2008-01-01

    economy, demography and energy prices, which implies thatgrowth, demography, energy prices, and climate on the futuredemand is determined by energy price indicators, taking into

  8. California DREAMing: the design of residential demand responsive technology with people in mind

    E-Print Network [OSTI]

    Peffer, Therese E.

    2009-01-01

    45 minutes) battery chargers (telephone, camera etc). In45 minutes) battery chargers (telephone, camera etc). Inminutes @2000W) Battery chargers (i.e. , cell phone, camera

  9. A Power Scheduling Game for Reducing the Peak Demand of Residential Users

    E-Print Network [OSTI]

    users select the cheapest time slots (minimizing their daily bill) while satisfying their energy. INTRODUCTION The electricity generation, distribution and consumption are in the throes of change due challenges that have emerged in electric systems. One of the most relevant challenges associated

  10. California DREAMing: the design of residential demand responsive technology with people in mind

    E-Print Network [OSTI]

    Peffer, Therese E.

    2009-01-01

    Efficient are Modern Dishwashers? Proceedings from the 2008Turn off power dry on dishwasher to reduce energy use. (Savefluorescents  to reduce  dishwasher to  to reduce energy 

  11. California DREAMing: the design of residential demand responsive technology with people in mind

    E-Print Network [OSTI]

    Peffer, Therese E.

    2009-01-01

    Paper): EPRI. Emerson Climate Technologies. (2004). Home Airper day (Emerson Climate Technologies, 2004). A PG&E surveyTechnologies and Practices, and Differentiated Screening of Climate-

  12. California DREAMing: the design of residential demand responsive technology with people in mind

    E-Print Network [OSTI]

    Peffer, Therese E.

    2009-01-01

    and direction, and solar radiation data. Another mote at theand direction, and solar radiation data. Another mote at themote collected solar radiation and wind data from the roof

  13. Residential Demand Module of the National Energy Modeling System: Model Documentation 2014

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2Feet)Thousand Cubic Feet)6984179,458 123,6204

  14. Model Documentation Report: Residential Demand Module of the National Energy Modeling System

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19FuelYear

  15. Model Documentation Report: Residential Sector Demand Module of the National Energy Modeling System

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19FuelYear5) Model Documentation

  16. Model Documentation Report: Residential Sector Demand Module of the National Energy Modeling System

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19FuelYear5) Model Documentation6)

  17. Model Documentation Report: Residential Sector Demand Module of the National Energy Modeling System

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19FuelYear5) Model Documentation6)8)

  18. Residential Demand Module of the National Energy Modeling System: Model Documentation 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearby the(Dollars1.840 2.318 3.1195) Model8)3 November 2013

  19. Real-time Pricing Demand Response in Operations

    SciTech Connect (OSTI)

    Widergren, Steven E.; Marinovici, Maria C.; Berliner, Teri; Graves, Alan

    2012-07-26

    Abstract—Dynamic 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.

  20. Configuring Entourage 2008 w/ Exchange Web Services. Note: These instruction assume that the Exchange Web Services (EWS) Update

    E-Print Network [OSTI]

    Zhang, Yi

    Configuring Entourage 2008 w/ Exchange Web Services. Note: These instruction assume that the Exchange Web Services (EWS) Update , also known as Entourage 13.0, has already been

  1. Turkish residential real estate investment analysis

    E-Print Network [OSTI]

    Ciller, Berk (Berk U.)

    2007-01-01

    This paper examines the investment potential for Turkish Residential Real Estate Market, focusing mainly on Istanbul. With a stable economy since 2002, dynamic population, geo-political location and the potential accession ...

  2. Addressing endogeneity in residential location models

    E-Print Network [OSTI]

    Guevara-Cue, Cristián Angelo

    2005-01-01

    Some empirical residential location choice models have reported dwelling-unit price estimated parameters that are small, not statistically significant, or even positive. This would imply that households are non-sensitive ...

  3. Spatial and Temporal Dynamics: Residential Development Process 

    E-Print Network [OSTI]

    Park, Joung Im

    2012-02-14

    A lack of empirical evidence to understand neighborhood and residential development processes within neighborhoods has challenged urban planners’ ability to influence the course of future land development. The main objectives of this study were...

  4. Residential photovoltaic worth : a summary assessment

    E-Print Network [OSTI]

    Dinwoodie, Thomas L.

    1982-01-01

    Two critical perspectives have been addressed by the analyses of residential photovoltaic worth. For the researcher and designer have been established allowable costs. For the homeowner and institutional decision-makers ...

  5. Laboratory Evaluation of Residential Furnace Blower Performance

    E-Print Network [OSTI]

    Walker, Iain S.; Lutz, Jim D.

    2005-01-01

    Electricity Use by New Furnaces: A Wisconsin Field Study,of Airflow in Residential Furnaces. , LBNL-53947 CMHC. 1993.B. 2002. The Impact of ECM furnace motors on natural gas use

  6. Energy Intensity Indicators: Residential Source Energy Consumption

    Broader source: Energy.gov [DOE]

    Figure R1 below reports as index numbers over the period 1970 through 2011: 1) the number of U.S. households, 2) the average size of those housing units, 3) residential source energy consumption, 4...

  7. EWEB- Residential Solar Water Heating Loan Program

    Office of Energy Efficiency and Renewable Energy (EERE)

    Eugene Water & Electric Board (EWEB) offers residential customers a loan and cash discount program called, "The Bright Way To Heat Water." The program is designed to promote the installation of...

  8. Chicopee Electric Light- Residential Solar Rebate Program

    Broader source: Energy.gov [DOE]

    Chicopee Electric Light offers rebates to residential customers who install solar photovoltaic (PV) systems on their homes. Customer rebates are $0.50 per watt for a maximum of $2,500 per...

  9. CPS Energy- New Residential Construction Incentives

    Broader source: Energy.gov [DOE]

    CPS Energy offers incentives for new residential construction that is at least 15% more efficient than required by the [http://dsireusa.org/incentives/incentive.cfm?Incentive_Code=TX29R&re=1...

  10. Lumbee River EMC- Residential Weatherization Loan Program

    Broader source: Energy.gov [DOE]

    Lumbee River Electric Membership Corporation (LREMC) offers low interest loans to help residential members increase the energy efficiency of homes. Loans up to $17,000 are available for the...

  11. Lakeland Electric- Residential Conservation Rebate Program

    Broader source: Energy.gov [DOE]

    Lakeland Electric offers a conservation program for residential customers to save energy in homes. Rebates are available for Heat Pumps, HVAC tune-ups, attic insulation upgrades, and Energy Star...

  12. Piedmont Natural Gas- Residential Equipment Efficiency Program

    Broader source: Energy.gov [DOE]

    Piedmont Natural Gas offers rebates on high-efficiency natural gas tankless water heaters, tank water heaters and furnaces. Customers on the 101-Residential Service rate are eligible for these...

  13. Idaho Falls Power- Residential Weatherization Loan Program

    Office of Energy Efficiency and Renewable Energy (EERE)

    Residential customers with permanently installed electric heat who receive service from the City of Idaho Falls, are eligible for 0% weatherization loans. City Energy Service will conduct an energy...

  14. Residential Composting Intern Position Position Details

    E-Print Network [OSTI]

    Royer, Dana

    Residential Composting Intern Position Position Details The dining composting intern positions during Orientation week to set up the composting programs and stay through Senior Week to finish composting program. The interns will report to Sustainability Coordinator Jen Kleindienst. Requirements

  15. Covered Product Category: Residential Electric Resistance Water...

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

    with capacities of 20 to 120 gallons and maximum energy input of 12 kW. Residential heat pump and gas storage water heaters are covered by ENERGY STAR. Boilers, swimming pool...

  16. Kirkwood Electric- Residential Energy Efficiency Rebate Program

    Broader source: Energy.gov [DOE]

    Kirkwood Electric offers rebates to its residential customers who install energy-efficient heat pumps and electric hot water heaters in their new and existing homes. Customers will be given a...

  17. Commonwealth Solar Hot Water Residential Program

    Broader source: Energy.gov [DOE]

    Since February 2011, the Massachusetts Clean Energy Center (MassCEC) has provided rebates for the installation of residential solar hot water systems through the Commonwealth Solar Hot Water Prog...

  18. Monmouth Power & Light- Residential Energy Efficiency Program

    Broader source: Energy.gov [DOE]

    Monmouth Power & Light offers a wide range of energy efficiency rebates that encourage residential customers to save energy in their homes. To qualify for these incentives electricity must be...

  19. Groton Utilities- Residential Energy Efficiency Rebate Program

    Broader source: Energy.gov [DOE]

    Groton Utilities offers a variety of rebates to residential customers for the purchase and installation of energy efficient equipment. Rebates are available for CFLs, HVAC, HVAC controls, and heat...

  20. Modeling of Residential Attics with Radiant Barriers 

    E-Print Network [OSTI]

    Wilkes, K. E.

    1988-01-01

    This paper gives a summary of the efforts at ORNL in modeling residential attics with radiant barriers. Analytical models based on a system of macroscopic heat balances have been developed. Separate models have been developed for horizontal radiant...

  1. Design for Energy Efficiency in Residential Buildings 

    E-Print Network [OSTI]

    Song, M.; Zhang, Y.; Yang, G.

    2006-01-01

    This paper presents the thermal design and heating design of an energy saving residential building in Beijing where the owners lived until 2004. Results show the advantages and disadvantages of a household-based heating mode by natural gas. Based...

  2. Residential Small Renewable Energy Rebate Program

    Broader source: Energy.gov [DOE]

    The rebate is equal to $0.75 per watt of nominal generation capacity per residential owner of an eligible facility, up to $3,750 or 50% of system costs, whichever is less. Photovoltaic (PV)...

  3. Cowlitz County PUD- Residential Weatherization Plus Program

    Broader source: Energy.gov [DOE]

    Cowlitz County PUD offers an incentive to residential customers who weatherize their homes. Eligible residences can be either site-built or manufactured homes, but must have a permanently installed...

  4. A Simplified Residential Base-Case Model 

    E-Print Network [OSTI]

    Do, S. L.; Choi, J. H.; Haberl, J. S.

    2013-01-01

    This study was for the DOE-2.1e program to develop a simplified residential ASHP house model in Houston, Texas. The house characteristics were based on the standard reference design and requirements as defined in Chapter ...

  5. REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022

    E-Print Network [OSTI]

    relatively high economic/demographic growth, relatively low electricity and natural gas rates REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 1: Statewide Electricity Demand Bill Junker Manager DEMAND ANALYSIS OFFICE Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS

  6. CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST

    E-Print Network [OSTI]

    high economic/demographic growth, relatively low electricity and natural gas rates, and relatively low CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST Volume 2: Electricity Demand Manager DEMAND ANALYSIS OFFICE Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS DIVISION

  7. CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST

    E-Print Network [OSTI]

    relatively high economic/demographic growth, relatively low electricity and natural gas rates CALIFORNIA ENERGY DEMAND 2014­2024 FINAL FORECAST Volume 1: Statewide Electricity Demand Gough Office Manager DEMAND ANALYSIS OFFICE Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS

  8. Demand Response as a System Reliability Resource

    E-Print Network [OSTI]

    Joseph, Eto

    2014-01-01

    Barat, and D. Watson. 2007. Demand Response Spinning ReserveKueck, and B. Kirby. 2009. Demand Response Spinning ReserveFormat of 2009-2011 Demand Response Activity Applications.

  9. Water and Waste Water Tariffs for New Residential Construction in California

    E-Print Network [OSTI]

    Fisher, Diane; Lutz, James

    2006-01-01

    for New Residential Construction in California D.C. FisherTariffs for New Residential Construction in California 1.in new residential construction in California. These

  10. Economics of residential gas furnaces and water heaters in United States new construction market

    E-Print Network [OSTI]

    Lekov, Alex B.

    2010-01-01

    for residential gas furnaces in the U.S. In the proceedingsconsumption of residential furnaces and boilers in U.S.consumer products: Residential furnaces and boilers. Energy

  11. Optimizing Energy Savings from Direct-DC in U.S. Residential Buildings

    E-Print Network [OSTI]

    Garbesi, Karina

    2012-01-01

    average residential electricity consumption by end-use inaverage residential electricity consumption by end-use inU.S. residential electricity consumption for 2010 for 32

  12. Pollutant Emission Factors from Residential Natural Gas Appliances: A Literature Review

    E-Print Network [OSTI]

    Traynor, G.W.

    2011-01-01

    distributions from residential natural gas appliances. CH 4ng/J) distribution from residential natural gas appliances.from Residential Natural Gas Appliances: A Literature Review

  13. The Potential Impact of Increased Renewable Energy Penetrations on Electricity Bill Savings from Residential Photovoltaic Systems

    E-Print Network [OSTI]

    Barbose, Galen

    2013-01-01

    from Residential Photovoltaic Systems Naïm R. Darghouth,FROM RESIDENTIAL PHOTOVOLTAIC SYSTEMS Naïm R. DarghouthABSTRACT Residential photovoltaic (PV) systems in the US are

  14. Residential Multi-Function Gas Heat Pump: Efficient Engine-Driven...

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

    Residential Multi-Function Gas Heat Pump: Efficient Engine-Driven Heat Pump for the Residential Sector - Fact Sheet, 2013 Residential Multi-Function Gas Heat Pump: Efficient...

  15. Residential market transformation: National and regional indicators

    SciTech Connect (OSTI)

    Van Wie McGrory, Laura L.; McNamara, Maureen; Suozzo, Margaret

    2000-06-01

    A variety of programs are underway to address market barriers to the adoption of energy-efficient residential technologies and practices. Most are administered by utilities, states, or regions that rely on the Energy Star as a consistent platform for program marketing and messaging. This paper reviews regional and national market transformation activities for three key residential end-uses -- air conditioning, clothes washing, and lighting -- characterizing current and ongoing programs; reporting on progress; identifying market indicators; and discussing implications.

  16. Residential Energy Tax Credit | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergy BillsNo. 195 - Oct.7, 2015VerizonResidentialRebateTax Credit Residential

  17. Engineering evaluation of alternatives: Managing the assumed leak from single-shell Tank 241-T-101

    SciTech Connect (OSTI)

    Brevick, C.H. [ICF Kaiser Hanford Co., Richland, WA (United States); Jenkins, C. [Westinghouse Hanford Co., Richland, WA (United States)

    1996-02-01

    At mid-year 1992, the liquid level gage for Tank 241-T-101 indicated that 6,000 to 9,000 gal had leaked. Because of the liquid level anomaly, Tank 241-T-101 was declared an assumed leaker on October 4, 1992. SSTs liquid level gages have been historically unreliable. False readings can occur because of instrument failures, floating salt cake, and salt encrustation. Gages frequently self-correct and tanks show no indication of leak. Tank levels cannot be visually inspected and verified because of high radiation fields. The gage in Tank 241-T-101 has largely corrected itself since the mid-year 1992 reading. Therefore, doubt exists that a leak has occurred, or that the magnitude of the leak poses any immediate environmental threat. While reluctance exists to use valuable DST space unnecessarily, there is a large safety and economic incentive to prevent or mitigate release of tank liquid waste into the surrounding environment. During the assessment of the significance of the Tank 241-T-101 liquid level gage readings, Washington State Department of Ecology determined that Westinghouse Hanford Company was not in compliance with regulatory requirements, and directed transfer of the Tank 241-T-101 liquid contents into a DST. Meanwhile, DOE directed WHC to examine reasonable alternatives/options for safe interim management of Tank 241-T-101 wastes before taking action. The five alternatives that could be used to manage waste from a leaking SST are: (1) No-Action, (2) In-Tank Stabilization, (3) External Tank Stabilization, (4) Liquid Retrieval, and (5) Total Retrieval. The findings of these examinations are reported in this study.

  18. Exponential Communication Ine ciency of Demand Queries

    E-Print Network [OSTI]

    Sandholm, Tuomas W.

    FORECAST COMBINATION IN REVENUE MANAGEMENT DEMAND FORECASTING SILVIA RIEDEL A thesissubmitted Combination in RevenueManagement Demand Forecasting Abstract The domain of multi level forecastcombination

  19. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    demand response: ? Distribution utility ? ISO ? Aggregator (demand response less obstructive and inconvenient for the customer (particularly if DR resources are aggregated by a load aggregator).

  20. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

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

    2008-01-01

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

  1. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

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

  2. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    Energy Efficiency, Demand Response, and Peak Load Managementdemand response, and load management programs in the Ebefore they undertake load management and demand response

  3. Supply chain planning decisions under demand uncertainty

    E-Print Network [OSTI]

    Huang, Yanfeng Anna

    2008-01-01

    Sales and operational planning that incorporates unconstrained demand forecasts has been expected to improve long term corporate profitability. Companies are considering such unconstrained demand forecasts in their decisions ...

  4. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    > B-2 Coordination of Energy Efficiency and Demand Response> B-4 Coordination of Energy Efficiency and Demand Responseand integration is: Energy efficiency, energy conservation,

  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 May 14, 2015 12:30PM to 2:00PM EDT Learn more...

  6. Demand Response Programs Oregon Public Utility Commission

    E-Print Network [OSTI]

    Demand Response Programs Oregon Public Utility Commission January 6, 2005 Mike Koszalka Director;Demand Response Results, 2004 Load Control ­ Cool Keeper ­ ID Irrigation Load Control Price Responsive

  7. Turkey's energy demand and supply

    SciTech Connect (OSTI)

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

    2009-07-01

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

  8. 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.

  9. 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.

  10. Demand Response and Energy Efficiency 

    E-Print Network [OSTI]

    2009-01-01

    stream_source_info ESL-IC-09-11-05.pdf.txt stream_content_type text/plain stream_size 14615 Content-Encoding ISO-8859-1 stream_name ESL-IC-09-11-05.pdf.txt Content-Type text/plain; charset=ISO-8859-1 Demand Response... 4 An Innovative Solution to Get the Ball Rolling ? Demand Response (DR) ? Monitoring Based Commissioning (MBCx) EnerNOC has a solution involving two complementary offerings. ESL-IC-09-11-05 Proceedings of the Ninth International Conference...

  11. Residential and Transport Energy Use in India: Past Trend and Future Outlook

    SciTech Connect (OSTI)

    de la Rue du Can, Stephane; Letschert, Virginie; McNeil, Michael; Zhou, Nan; Sathaye, Jayant

    2009-03-31

    The main contribution of this report is to characterize the underlying residential and transport sector end use energy consumption in India. Each sector was analyzed in detail. End-use sector-level information regarding adoption of particular technologies was used as a key input in a bottom-up modeling approach. The report looks at energy used over the period 1990 to 2005 and develops a baseline scenario to 2020. Moreover, the intent of this report is also to highlight available sources of data in India for the residential and transport sectors. The analysis as performed in this way reveals several interesting features of energy use in India. In the residential sector, an analysis of patterns of energy use and particular end uses shows that biomass (wood), which has traditionally been the main source of primary energy used in households, will stabilize in absolute terms. Meanwhile, due to the forces of urbanization and increased use of commercial fuels, the relative significance of biomass will be greatly diminished by 2020. At the same time, per household residential electricity consumption will likely quadruple in the 20 years between 2000 and 2020. In fact, primary electricity use will increase more rapidly than any other major fuel -- even more than oil, in spite of the fact that transport is the most rapidly growing sector. The growth in electricity demand implies that chronic outages are to be expected unless drastic improvements are made both to the efficiency of the power infrastructure and to electric end uses and industrial processes. In the transport sector, the rapid growth in personal vehicle sales indicates strong energy growth in that area. Energy use by cars is expected to grow at an annual growth rate of 11percent, increasing demand for oil considerably. In addition, oil consumption used for freight transport will also continue to increase .

  12. The 1986 residential occupant survey

    SciTech Connect (OSTI)

    Ivey, D.L.; Alley, P.K.

    1987-04-01

    In 1986, Pacific Northwest Laboratory developed the Residential Occupant Survey-Spring '86, which was implemented. The overall purpose of the study was to collect demographic, attitudinal, and behavioral data related to the use and conservation of electricity in dwellings participating in the Bonneville Power Administration's End-Use Load and Conservation Assessment Program (ELCAP). Information was collected on the respondents' perceptions of the energy efficiency of their dwelling, temperature the dwelling was kept when people were at home and awake during the last heating season, which rooms, if any, were not heated during the last heating season, number of times the dwelling was unoccupied for at least one week, number of times pets were let out of the dwelling per day, attitudes toward energy use and conservation and several socio-demographic variables such as age, sex, and total household income. The results of the data analyses showed age to be an important factor for reported indoor temperature and perceived energy efficiency of the dwelling. The results also showed that almost 60% of the ELCAP occupants do not heat one or more rooms during the heating season, and almost 45% of the ELCAP dwellings were unoccupied for at least one week during the reporting period. In terms of the reported allocation of household income for household energy expenses, the results showed that the reported dollar amount spent for the expenses remained relatively constant over income levels.

  13. U.S. Photovoltaic Prices and Cost Breakdowns. Q1 2015 Benchmarks for Residential, Commercial, and Utility-Scale Systems

    SciTech Connect (OSTI)

    Chung, Donald; Davidson, Carolyn; Fu, Ran; Ardani, Kristen; Margolis, Robert

    2015-09-01

    The price of photovoltaic (PV) systems in the United States (i.e., the cost to the system owner) has continued to decline across all major market sectors. This report provides a Q1 2015 update regarding the prices of residential, commercial, and utility scale PV systems, based on an objective methodology that closely approximates the book value of a PV system. Several cases are benchmarked to represent common variations in business models, labor rates, and system architecture choice. We estimate a weighted-average cash purchase price of $3.09/W for residential scale rooftop systems, $2.15/W for commercial scale rooftop systems, $1.77/W for utility scale systems with fixed mounting structures, and $1.91/W for utility scale systems using single-axis trackers. All systems are modeled assuming standard-efficiency, polycrystalline-silicon PV modules, and further assume installation within the United States.

  14. The New European GreenBuilding Programme to Promote Energy Efficiency Investments in non-Residential Buildings 

    E-Print Network [OSTI]

    Adnot, J.; Bertoldi, P.

    2004-01-01

    Energies The New European GreenBuilding Programme to Promote Energy Efficiency Investmentsin non-Residential Buildings Jerome Adnot, Centerfor Energy Studies,Ecole desMines de ParisPaolo Bertoldi, European Commission ?5?5 Renewable Energies Objectives... of the GreenBuilding Programme ?GBP is designed and will be operated in order to contribute to the EU objective to reduce energy demand in buildings.?GBP main goal is to stimulate ?additional? cost-effectiveenergy efficiency and renewable energies projects...

  15. Revelation on Demand Nicolas Anciaux

    E-Print Network [OSTI]

    is willing to reveal the aggregate response (according to his company's policy) to the customer dataRevelation on Demand Nicolas Anciaux 1 · Mehdi Benzine1,2 · Luc Bouganim1 · Philippe Pucheral1 time to support epidemiological studies. In these and many other situations, aggregate data or partial

  16. Demand Response Providing Ancillary Services

    E-Print Network [OSTI]

    1 Demand Response Providing Ancillary Services: A Comparison of Opportunities and Challenges in US to operate (likely price takers) ­ Statistical reliability (property of large aggregations of small resources size based on Mid-Atlantic Reserve Zone #12;Market Rules: Resource Size Min. Size (MW) Aggregation

  17. 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% ? 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.

  18. Water demand management in Kuwait

    E-Print Network [OSTI]

    Milutinovic, Milan, M. Eng. Massachusetts Institute of Technology

    2006-01-01

    Kuwait is an arid country located in the Middle East, with limited access to water resources. Yet water demand per capita is much higher than in other countries in the world, estimated to be around 450 L/capita/day. There ...

  19. On-demand data broadcasting 

    E-Print Network [OSTI]

    Kothandaraman, Kannan

    1998-01-01

    related to on-demand data broadcasting. We look at the problem of data broadcasting in an environment where clients make explicit requests to the server. The server broadcasts requested data items to all the clients, including those who have not requested...

  20. 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.

  1. Assessment of Residential GSHP System

    SciTech Connect (OSTI)

    Liu, Xiaobing

    2010-09-01

    This report first briefly reviews geothermal heat pump (GHP) technology and the current status of the GHP industry in the United States. Then it assesses the potential national benefits, in terms of energy savings, reduced summer peak electrical demand, consumer energy cost savings, and reduced CO{sub 2} emissions from retrofitting the space heating, space cooling, and water heating systems in existing U.S. single-family homes with state-of-the-art GHP systems. The investment for retrofitting typical U.S. single-family homes with state-of-the-art GHP systems is also analyzed using the metrics of net present value and levelized cost.

  2. Effects of the drought on California electricity supply and demand

    E-Print Network [OSTI]

    Benenson, P.

    2010-01-01

    DEMAND . . . .Demand for Electricity and Power PeakDemand . . • . . ELECTRICITY REQUIREMENTS FOR AGRICULTUREResults . . Coriclusions ELECTRICITY SUPPLY Hydroelectric

  3. Automated Demand Response Opportunities in Wastewater Treatment Facilities

    E-Print Network [OSTI]

    Thompson, Lisa

    2008-01-01

    Interoperable Automated Demand Response Infrastructure,study of automated demand response in wastewater treatmentopportunities for demand response control strategies in

  4. Northwest Open Automated Demand Response Technology Demonstration Project

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01

    Report 2009. Open Automated Demand Response Communicationsand Techniques for Demand Response. California Energyand S. Kiliccote. Estimating Demand Response Load Impacts:

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

    E-Print Network [OSTI]

    McKane, Aimee T.

    2009-01-01

    and Techniques for Demand Response, report for theand Reliability Demand Response Programs: Final Report.Demand Response

  6. Incorporating Demand Response into Western Interconnection Transmission Planning

    E-Print Network [OSTI]

    Satchwell, Andrew

    2014-01-01

    Aggregator Programs. Demand Response Measurement andIncorporating Demand Response into Western Interconnection13 Demand Response Dispatch

  7. Upply Chain Supernetworks with Random Demands

    E-Print Network [OSTI]

    Nagurney, Anna

    Upply Chain Supernetworks with Random Demands June Dong & Ding Zhang School of Business State Warehouses: stocking points Field Warehouses: stocking points Customers, demand centers sinks Production Commerce and Value Chain Management, 1998 Customer Demand Customer Demand Retailer OrdersRetailer Orders

  8. Assessment of Demand Response and Advanced Metering

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    #12;#12;2008 Assessment of Demand Response and Advanced Metering Staff Report Federal Energy metering penetration and potential peak load reduction from demand response have increased since 2006. Significant activity to promote demand response or to remove barriers to demand response occurred at the state

  9. 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)

  10. 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 “changes 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.” 1 The California Energy Commission (CEC) defines DR as “a reduction in customers’ 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.” 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).

  11. Post-Retrofit Residential Assessments

    SciTech Connect (OSTI)

    Lancaster, Ross; lutzenhiser, Loren; Moezzi, Mithra; Widder, Sarah H.; Chandra, Subrato; Baechler, Michael C.

    2012-04-30

    This study examined a range of factors influencing energy consumption in households that had participated in residential energy-efficiency upgrades. The study was funded by a grant from the U.S. Department of Energy’s Pacific Northwest National Laboratory and was conducted by faculty and staff of Portland State University Center for Urban Studies and Department of Economics. This work was made possible through the assistance and support of the Energy Trust of Oregon (ETO), whose residential energy-efficiency programs provided the population from which the sample cases were drawn. All households in the study had participated in the ETO Home Performance with Energy Star (HPwES) program. A number of these had concurrently pursued measures through other ETO programs. Post-retrofit energy outcomes are rarely investigated on a house-by-house basis. Rather, aggregate changes are ordinarily the focus of program impact evaluations, with deviation from aggregate expectations chalked up to measurement error, the vagaries of weather and idiosyncrasies of occupants. However, understanding how homes perform post-retrofit on an individual basis can give important insights to increase energy savings at the participant and the programmatic level. Taking a more disaggregated approach, this study analyzed energy consumption data from before and after the retrofit activity and made comparisons with engineering estimates for the upgrades, to identify households that performed differently from what may have been expected based on the estimates. A statistical analysis using hierarchal linear models, which accounted for weather variations, was performed looking separately at gas and electrical use during the periods before and after upgrades took place. A more straightforward comparison of billing data for 12-month periods before and after the intervention was also performed, yielding the majority of the cases examined. The later approach allowed total energy use and costs to be assessed but did not account for weather variation. From this statistical analysis, 18 study participants were selected and interviewed. The participants completed an in-home interview covering a range of topics, including changes in occupancy and additional changes to the homes that may have affected energy use. The goal of the interviews was to identify factors that may have contributed to unusual energy performance. These factors were identified by their frequency of occurrence in outperforming or underperforming homes, or simply by identifying factors that had the largest impact on overall savings. The motivations and levels of satisfaction with the outcomes of the upgrades were covered in detail, as well as extensive discussions of behaviors pertaining to thermal control, lighting, water, and appliance use. Most of cases studied achieved substantial energy savings, although it was more common for the projected savings to be greater than the demonstrated savings. Two factors that played a very large role in savings variation were 1) changes in occupancy and 2) fenestration improvements outside of the incentive programs. Motivation for pursuing the upgrades (e.g., environmental sustainability vs. comfort or cost savings) did not seem to play any role in achieving savings. Participants generally were more concerned with maintaining aesthetics through lighting than comfort through heating or cooling. They also seemed more likely to turn the lights off when leaving a room than to turn the heat off when leaving the home.

  12. 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.

  13. Residential Variable-Capacity Heat Pumps Sized to Heating Loads

    SciTech Connect (OSTI)

    Munk, Jeffrey D.; Jackson, Roderick K.; Odukomaiya, Adewale; Gehl, Anthony C.

    2014-01-01

    Variable capacity heat pumps are an emerging technology offering significant energy savings potential and improved efficiency. With conventional single-speed systems, it is important to appropriately size heat pumps for the cooling load as over-sizing would result in cycling and insufficient latent capacity required for humidity control. These appropriately sized systems are often under-sized for the heating load and require inefficient supplemental electric resistance heat to meet the heating demand. Variable capacity heat pumps address these shortcomings by providing an opportunity to intentionally size systems for the dominant heating season load without adverse effects of cycling or insufficient dehumidification in the cooling season. This intentionally-sized system could result in significant energy savings in the heating season, as the need for inefficient supplemental electric resistance heat is drastically reduced. This is a continuation of a study evaluating the energy consumption of variable capacity heat pumps installed in two unoccupied research homes in Farragut, a suburb of Knoxville, Tennessee. In this particular study, space conditioning systems are intentionally sized for the heating season loads to provide an opportunity to understand and evaluate the impact this would have on electric resistance heat use and dehumidification. The results and conclusions drawn through this research are valid and specific for portions of the Southeastern and Midwestern United States falling in the mixed-humid climate zone. While other regions in the U.S. do not experience this type of climate, this work provides a basis for, and can help understand the implications of other climate zones on residential space conditioning energy consumption. The data presented here will provide a framework for fine tuning residential building EnergyPlus models that are being developed.

  14. Do Photovoltaic Energy Systems Effect Residential Selling Prices? Results from a California Statewide Investigation.

    E-Print Network [OSTI]

    Hoen, Ben

    2012-01-01

    ENERGY SYSTEMS AFFECT RESIDENTIAL SELLING PRICES? RESULTS FROM A CALIFORNIAENERGY SYSTEMS AFFECT RESIDENTIAL SELLING PRICES? RESULTS FROM A CALIFORNIA

  15. An Analysis of the Effects of Residential Photovoltaic Energy Systems on Home Sales Prices in California

    E-Print Network [OSTI]

    Hoen, Ben

    2011-01-01

    Residential Photovoltaic Energy Systems on Home Sales PricesResidential Photovoltaic Energy Systems on Home Sales Prices

  16. Demand Response Resources for Energy and Ancillary Services (Presentation)

    SciTech Connect (OSTI)

    Hummon, M.

    2014-04-01

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

  17. Development of an Outdoor Temperature Based Control Algorithm for Residential Mechanical Ventilation Control

    SciTech Connect (OSTI)

    Less, Brennan; Walker, Iain; Tang, Yihuan

    2014-08-01

    The Incremental Ventilation Energy (IVE) model developed in this study combines the output of simple air exchange models with a limited set of housing characteristics to estimate the associated change in energy demand of homes. The IVE model was designed specifically to enable modellers to use existing databases of housing characteristics to determine the impact of ventilation policy change on a population scale. The IVE model estimates of energy change when applied to US homes with limited parameterisation are shown to be comparable to the estimates of a well-validated, complex residential energy model.

  18. Residential model for steep slopes : case study, Ajaltoun, Lebanon

    E-Print Network [OSTI]

    Abourached, Toufic

    1984-01-01

    The objective of this thesis is to develop a residential model for steep slopes, in the mountain village of Ajaltoun. It is anticipated that this preliminary design would represent an alternative method for residential ...

  19. ENERGY STAR Residential Water Heaters to Save Americans Up to...

    Energy Savers [EERE]

    ENERGY STAR Residential Water Heaters to Save Americans Up to 823 Million in the Next Five Years ENERGY STAR Residential Water Heaters to Save Americans Up to 823 Million in the...

  20. How to Read Residential Electric and Natural Gas Meters | Department...

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

    How to Read Residential Electric and Natural Gas Meters How to Read Residential Electric and Natural Gas Meters An electromechanical electric meter on the side of a house. | Photo...