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


1

Residential Sector Demand Module  

Reports and Publications (EIA)

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.

Owen Comstock

2012-12-19T23:59:59.000Z

2

Residential Sector Demand Module  

Reports and Publications (EIA)

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.

Owen Comstock

2013-11-05T23:59:59.000Z

3

Energy Efficiency Report: Chapter 3: Residential Sector  

U.S. Energy Information Administration (EIA)

3. The Residential Sector Introduction. More than 90 million single-family, multifamily, and mobile home households encompass the residential sector.

4

residential sector key indicators | OpenEI  

Open Energy Info (EERE)

residential sector key indicators residential sector key indicators Dataset Summary Description This dataset is the 2009 United States Residential Sector Key Indicators and Consumption, part of the Source EIA Date Released March 01st, 2009 (5 years ago) Date Updated Unknown Keywords AEO consumption EIA energy residential sector key indicators Data application/vnd.ms-excel icon 2009 Residential Sector Key Indicators and Consumption (xls, 55.3 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment http://www.eia.gov/abouteia/copyrights_reuse.cfm Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote

5

Modeling diffusion of electrical appliances in the residential sector  

E-Print Network (OSTI)

Efficiency Standards in the Residential Electricity Sector.France. USDOE (2001). Residential Energy Consumption Survey,long-term response of residential cooling energy demand to

McNeil, Michael A.

2010-01-01T23:59:59.000Z

6

Residential Sector Demand Module 2000, Model Documentation  

Reports and Publications (EIA)

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.

John H. Cymbalsky

1999-12-01T23:59:59.000Z

7

Residential Sector Demand Module 2004, Model Documentation  

Reports and Publications (EIA)

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.

John H. Cymbalsky

2004-02-01T23:59:59.000Z

8

Residential Sector Demand Module 2001, Model Documentation  

Reports and Publications (EIA)

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.

John H. Cymbalsky

2000-12-01T23:59:59.000Z

9

Residential Sector Demand Module 2002, Model Documentation  

Reports and Publications (EIA)

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.

John H. Cymbalsky

2001-12-01T23:59:59.000Z

10

Residential Sector Demand Module 2005, Model Documentation  

Reports and Publications (EIA)

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.

John H. Cymbalsky

2005-04-01T23:59:59.000Z

11

Residential Sector Demand Module 2003, Model Documentation  

Reports and Publications (EIA)

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.

John H. Cymbalsky

2003-01-01T23:59:59.000Z

12

Residential Sector Demand Module 2008, Model Documentation  

Reports and Publications (EIA)

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.

John H. Cymbalsky

2008-10-10T23:59:59.000Z

13

Residential Sector Demand Module 2006, Model Documentation  

Reports and Publications (EIA)

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.

John H. Cymbalsky

2006-03-01T23:59:59.000Z

14

Residential Sector Demand Module 2009, Model Documentation  

Reports and Publications (EIA)

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.

John H. Cymbalsky

2009-05-01T23:59:59.000Z

15

Residential Sector Demand Module 1999, Model Documentation  

Reports and Publications (EIA)

This is the fifth edition of the Model Documentation Report: Residential Sector DemandModule of the National Energy Modeling System (NEMS). It reflects changes made to themodule over the past year for the Annual Energy Outlook 1999.

John H. Cymbalsky

1998-12-01T23:59:59.000Z

16

Residential Sector Demand Module 2007, Model Documentation  

Reports and Publications (EIA)

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.

John H. Cymbalsky

2007-04-26T23:59:59.000Z

17

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

38 3.2.1. SDG&E Residential Electric Rates and TheirFootprint of Single-Family Residential New Construction.Solar photovoltaic financing: residential sector deployment,

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

18

Country Review of Energy-Efficiency Financial Incentives in the Residential Sector  

E-Print Network (OSTI)

Financial Incentives in the Residential Sector Stephane deFinancial Incentives in the Residential Sector Stephane desavings achieved in the residential sector. In contrast,

Can, Stephane de la Rue du

2011-01-01T23:59:59.000Z

19

Strategies for Low Carbon Growth In India: Industry and Non Residential Sectors  

E-Print Network (OSTI)

Efficiency Scenario (non-residential sector only) AssumesIndia: Industry and Non Residential Sectors Jayant Sathaye,and support. The Non Residential sector analysis benefited

Sathaye, Jayant

2011-01-01T23:59:59.000Z

20

Solar Photovoltaic Financing: Residential Sector Deployment  

DOE Green Energy (OSTI)

This report presents the information that homeowners and policy makers need to facilitate PV financing at the residential level. The full range of cash payments, bill savings, and tax incentives is covered, as well as potentially available solar attribute payments. Traditional financing is also compared to innovative solutions, many of which are borrowed from the commercial sector. Together, these mechanisms are critical for making the economic case for a residential PV installation, given its high upfront costs. Unfortunately, these programs are presently limited to select locations around the country. By calling attention to these innovative initiatives, this report aims to help policy makers consider greater adoption of these models to benefit homeowners interested installing a residential PV system.

Coughlin, J.; Cory, K.

2009-03-01T23:59:59.000Z

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


21

Residential Sector Demand Module 1998, Model Documentation  

Reports and Publications (EIA)

This is the fourth edition of the Model Documentation Report: Residential Sector DemandModule of the National Energy Modeling System (NEMS). It reflects changes made to themodule over the past year for the Annual Energy Outlook 1998. Since last year, severalnew end-use services were added to the module, including: Clothes washers,dishwashers, furnace fans, color televisions, and personal computers. Also, as with allNEMS modules, the forecast horizon has been extended to the year 2020.

John H. Cymbalsky

1998-01-01T23:59:59.000Z

22

Residential Sector Demand Module 1997, Model Documentation  

Reports and Publications (EIA)

This is the third edition of the Model Documentation Report: Residential Sector DemandModule of the National Energy Modeling System. It reflects changes made to the moduleover the past year for the Annual Energy Outlook 1997. Since last year, a subroutinewas added to the model which allows technology and fuel switching when space heaters,heat pump air conditioners, water heaters, stoves, and clothes dryers are retired in bothpre-1994 and post-1993 single-family homes. Also, a time-dependant function forcomputing the installed capital cost of equipment in new construction and the retail costof replacement equipment in existing housing was added.

John H. Cymbalsky

1997-01-01T23:59:59.000Z

23

Residential sector: the demand for energy services  

Science Conference Proceedings (OSTI)

The purpose of this report is to project the demand for residential services, and, thereby, the demand for energy into the future. The service demands which best represent a complete breakdown of residential energy consumption is identified and estimates of the amount of energy, by fuel type, used to satisfy each service demand for an initial base year (1978) are detailed. These estimates are reported for both gross (or input) energy use and net or useful energy use, in the residential sector. The various factors which affect the consumption level for each type of energy and each identified service demand are discussed. These factors include number of households, appliance penetration, choice of fuel type, technical conversion efficiency of energy using devices, and relative energy efficiency of the building shell (extent of insulation, resistance to air infiltration, etc.). These factors are discussed relative to both the present and expected future values, for the purpose of projections. The importance of the housing stock to service demand estimation and projection and trends in housing in Illinois are discussed. How the housing stock is projected based on population and household projections is explained. The housing projections to the year 2000 are detailed. The projections of energy consumption by service demand and fuel type are contrasted with the various energy demand projections in Illinois Energy Consumption Trends: 1960 to 2000 and explains how and why the two approaches differ. (MCW)

Not Available

1981-01-01T23:59:59.000Z

24

Figure 58. Residential sector adoption of renewable energy ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 58. Residential sector adoption of renewable energy technologies in two cases, 2005-2040 PV and wind (gigawatts) Heat pump ...

25

Propane demand modeling for residential sectors- A regression analysis.  

E-Print Network (OSTI)

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

Shenoy, Nitin K.

2011-01-01T23:59:59.000Z

26

Residential Sector Demand Module 1995, Model Documentation  

Reports and Publications (EIA)

This updated version of the NEMS Residential Module Documentation includes changesmade to the residential module for the production of the Annual Energy Outlook 1995.

John H. Cymbalsky

1995-03-01T23:59:59.000Z

27

EIA Data: 2011 United States Residential Sector Key Indicators and  

Open Energy Info (EERE)

Residential Sector Key Indicators and Residential Sector Key Indicators and Consumption Dataset Summary Description This dataset is the 2011 United States Residential Sector Key Indicators and Consumption, part of the Annual Energy Outlook that highlights changes in the AEO Reference case projections for key energy topics. Source EIA Date Released December 16th, 2010 (4 years ago) Date Updated Unknown Keywords consumption EIA energy residential sector key indicators Data application/vnd.ms-excel icon Residential Sector Key Indicators and Consumption (xls, 62.5 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment http://www.eia.gov/abouteia/copyrights_reuse.cfm

28

Projected Regional Impacts of Appliance Efficiency Standards for the U.S. Residential Sector  

E-Print Network (OSTI)

Price. 1994. Baseline Data for the Residential Sector andDevelopment of a Residential Forecasting Database. LawrenceG . Koomey. 1994. Residential HVAC Data, Assumptions and

Koomey, J.G.

2010-01-01T23:59:59.000Z

29

Solar Photovoltaic Financing: Residential Sector Deployment  

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

(a subsidiary of U.S. Bancorp), AFC First Financial Corporation, and Gemstone Lease Management, LLC, announced a residential solar lease program for homeowners who meet certain...

30

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

the U.S. Department of Energy (US DOE). It is the mostmodels that forecast US residential energy consumption bySurveys of sector energy use (US DOE 1990a; A G A 1991; EEI

Wenzel, T.P.

2010-01-01T23:59:59.000Z

31

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

and 2% of total natural gas usage in the residential sector.ignition systems, which will decrease gas usage andincrease electricity usage for gas ranges. Figure 11.4. Cost

Wenzel, T.P.

2010-01-01T23:59:59.000Z

32

EIA Data: 2011 United States Residential Sector Key Indicators...  

Open Energy Info (EERE)

Residential Sector Key Indicators and Consumption This datasetis the 2011 United...

33

Electricity savings potentials in the residential sector of Bahrain  

SciTech Connect

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

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

1996-08-01T23:59:59.000Z

34

Energy Data Sourcebook for the U.S. Residential Sector  

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

Data Sourcebook for the U.S. Residential Sector Data Sourcebook for the U.S. Residential Sector Title Energy Data Sourcebook for the U.S. Residential Sector Publication Type Report LBNL Report Number LBNL-40297 Year of Publication 1997 Authors Wenzel, Thomas P., Jonathan G. Koomey, Gregory J. Rosenquist, Marla C. Sanchez, and James W. Hanford Date Published 09/1997 Publisher Lawrence Berkeley National Laboratory City Berkeley, CA ISBN Number LBNL-40297, UC-1600 Keywords Enduse, Energy End-Use Forecasting, EUF Abstract Analysts assessing policies and programs to improve energy efficiency in the residential sector require disparate input data from a variety of sources. This sourcebook, which updates a previous report, compiles these input data into a single location. The data provided include information on end-use unit energy consumption (UEC) values of appliances and equipment; historical and current appliance and equipment market shares; appliance and equipment efficiency and sales trends; appliance and equipment efficiency standards; cost vs. efficiency data for appliances and equipment; product lifetime estimates; thermal shell characteristics of buildings; heating and cooling loads; shell measure cost data for new and retrofit buildings; baseline housing stocks; forecasts of housing starts; and forecasts of energy prices and other economic drivers. This report is the essential sourcebook for policy analysts interested in residential sector energy use. The report can be downloaded from the Web at http://enduse.lbl.gov/Projects/RED.html. Future updates to the report, errata, and related links, will also be posted at this address.

35

The Residential Sector: Changing Markets, Changing Technologies  

Science Conference Proceedings (OSTI)

Residential customers in the U.S. are confronted with markets for home services that continue to change rapidly. Not only are markets for traditional "utilities" such as telecommunications services, energy services, and entertainment services transitioning to competitive choice scenarios, but the technology which customers use in each of these arenas is changing rapidly as well. This report outlines the way that customers are responding to these changing market dynamics, in terms of the way they think ab...

1999-12-02T23:59:59.000Z

36

MISCELLANEOUS ELECTRICITY USE IN THE U.S. RESIDENTIAL SECTOR  

E-Print Network (OSTI)

-2010). Our study has two components: a historical analysis of miscellaneous electricity use (1976- 1995 consumption increased at an annual rate of 4.6%. In 1995, miscellaneous electricity consumption totaled 235LBNL-40295 UC-1600 MISCELLANEOUS ELECTRICITY USE IN THE U.S. RESIDENTIAL SECTOR M. C. Sanchez, J. G

37

Greening the Residential Sector: Efforts to Transform the Homebuilding  

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

Greening the Residential Sector: Efforts to Transform the Homebuilding Greening the Residential Sector: Efforts to Transform the Homebuilding Market Speaker(s): Doug King Date: October 16, 2007 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Rich Brown The world is changing- regional and global environmental problems have gained prominence, natural resources are becoming increasingly scarce and expensive, people spend more time indoors, and consumers have higher expectations for comfort than ever before - but the way new homes are built has remained largely stagnant. This is a significant problem, as more than 1.5 million new homes are built each year and the typical home will last anywhere between 50 and 75 years. There are various strategies for driving progress, including upgrades to local building codes and increased minimum

38

Table A4. Residential sector key indicators and consumption  

Gasoline and Diesel Fuel Update (EIA)

3 3 U.S. Energy Information Administration | Annual Energy Outlook 2013 Reference case Table A4. Residential sector key indicators and consumption (quadrillion Btu per year, unless otherwise noted) Energy Information Administration / Annual Energy Outlook 2013 Table A4. Residential sector key indicators and consumption (quadrillion Btu per year, unless otherwise noted) Key indicators and consumption Reference case Annual growth 2011-2040 (percent) 2010 2011 2020 2025 2030 2035 2040 Key indicators Households (millions) Single-family ....................................................... 82.85 83.56 91.25 95.37 99.34 103.03 106.77 0.8% Multifamily ........................................................... 25.78 26.07 29.82 32.05 34.54 37.05 39.53 1.4%

39

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

1989. Residential End-Use Energy Consumption: A Survey ofCathy R. Zoi. 1986. Unit Energy Consumption of ResidentialResidential Unit Energy Consumption Coefficients, Palo Alto,

Wenzel, T.P.

2010-01-01T23:59:59.000Z

40

Statistical Review of UK Residential Sector Electrical Loads  

E-Print Network (OSTI)

This paper presents a comprehensive statistical review of data obtained from a wide range of literature on the most widely used electrical appliances in the UK residential load sector. It focuses on individual appliances and begins by consideration of the electrical operations performed by the load. This approach allows for the loads to be categorised based on the electrical characteristics, and also provides information on the reactive power characteristics of the load, which is often neglected from standard consumption statistics. This data is particularly important for power system analysis. In addition to this, device ownership statistics and probability distribution functions of power demand are presented for the main residential loads. Although the data presented is primarily intended as a resource for the development of load profiles for power system analysis, it contains a large volume of information which provides a useful database for the wider research community.

Tsagarakis, G; Kiprakis, A E

2013-01-01T23:59:59.000Z

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


41

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

the predominant residential electricity rate structure. Itresidential electricity customers, over 90%, are on the standard domestic residential (DR) rate,

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

42

Energy data sourcebook for the US residential sector  

Science Conference Proceedings (OSTI)

Analysts assessing policies and programs to improve energy efficiency in the residential sector require disparate input data from a variety of sources. This sourcebook, which updates a previous report, compiles these input data into a single location. The data provided include information on end-use unit energy consumption (UEC) values of appliances and equipment efficiency; historical and current appliance and equipment market shares; appliances and equipment efficiency and sales trends; appliance and equipment efficiency standards; cost vs. efficiency data for appliances and equipment; product lifetime estimates; thermal shell characteristics of buildings; heating and cooling loads; shell measure cost data for new and retrofit buildings; baseline housing stocks; forecasts of housing starts; and forecasts of energy prices and other economic drivers. This report is the essential sourcebook for policy analysts interested in residential sector energy use. The report can be downloaded from the Web at http://enduse.lbl. gov/Projects/RED.html. Future updates to the report, errata, and related links, will also be posted at this address.

Wenzel, T.P.; Koomey, J.G.; Sanchez, M. [and others

1997-09-01T23:59:59.000Z

43

LBL-34044 UC-1600 RESIDENTIAL SECTOR END-USE FORECASTING WITH...  

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

primary energy intensity per household of the residential sector is declining, and the electricity intensity per household is remaining roughly constant over the forecast...

44

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

4 4 Cost of a Generic Quad Used in the Residential Sector ($2010 Billion) (1) Residential 1980 10.45 1981 11.20 1982 11.58 1983 11.85 1984 11.65 1985 11.43 1986 10.90 1987 10.55 1988 10.18 1989 9.98 1990 10.12 1991 9.94 1992 9.78 1993 9.77 1994 9.78 1995 9.44 1996 9.44 1997 9.59 1998 9.23 1999 8.97 2000 9.57 2001 10.24 2002 9.33 2003 10.00 2004 10.32 2005 11.10 2006 11.60 2007 11.61 2008 12.29 2009 11.65 2010 9.98 2011 9.99 2012 9.87 2013 9.77 2014 9.76 2015 9.88 2016 9.85 2017 9.83 2018 9.86 2019 9.88 2020 9.91 2021 10.00 2022 10.09 2023 10.11 2024 10.12 2025 10.09 2026 10.10 2027 10.13 2028 10.11 2029 10.06 2030 10.06 2031 10.13 2032 10.23 2033 10.34 2034 10.45 2035 10.57 Note(s): 1) See Table 1.5.1 for generic quad definition. This table provides the consumer cost of a generic quad in the buildings sector. Use this table to estimate the average consumer cost savings resulting from the savings of a generic (primary) quad in the buildings sector. 2) Price of

45

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

E-Print Network (OSTI)

with Residential Electricity Demand in India's Future - HowThe Boom of Electricity Demand in the Residential Sector instraightforward. Electricity demand per end use and region

Letschert, Virginie

2010-01-01T23:59:59.000Z

46

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

J.E. 1986. The LBL Residential Energy Model. LawrenceInc. MEANS. 1992. Residential Cost Data: 11th Annual EditionInstitute. 1989. Residential End-Use Energy Consumption: A

Wenzel, T.P.

2010-01-01T23:59:59.000Z

47

End-use electrification in the residential sector : a general equilibrium analysis of technology advancements  

E-Print Network (OSTI)

The residential sector in the U.S. is responsible for about 20% of the country's primary energy use (EIA, 2011). Studies estimate that efficiency improvements in this sector can reduce household energy consumption by over ...

Madan, Tanvir Singh

2012-01-01T23:59:59.000Z

48

Modeling diffusion of electrical appliances in the residential sector  

E-Print Network (OSTI)

Regression Results for Appliances Refrigerator Coefficientdiffusion of electrical appliances in the residential sectorfor modeling residential appliance uptake as a function of

McNeil, Michael A.

2010-01-01T23:59:59.000Z

49

Modeling diffusion of electrical appliances in the residential sector  

SciTech Connect

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.

McNeil, Michael A.; Letschert, Virginie E.

2009-11-22T23:59:59.000Z

50

EIA Energy Efficiency-Residential Sector Energy Intensities, 1978-2001  

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

Residential Sector Energy Intensities Residential Sector Energy Intensities RESIDENTIAL SECTOR ENERGY INTENSITIES: 1978-2005 Released Date: August 2004 Page Last Modified:June 2009 These tables provide estimates of residential sector energy consumption and energy intensities for 1978 -1984, 1987, 1990, 1993, 1997, 2001 and 2005 based on the Residential Energy Consumption Survey (RECS). Total Site Energy Consumption (U.S. and Census Region) Html Excel PDF By Type of Housing Unit (Table 1a) html Table 1a excel table 1a. excel table 1a. Weather-Adjusted by Type of Housing Unit (Table 1b) html table 1b excel table 1b excel table 1b Total Primary Energy Consumption (U.S. and Census Region) By Type of Housing Unit (Table 1c) html Table 1c excel table 1c excel table 1c Weather-Adjusted by Type of Housing Unit (Table 1d)

51

Buildings Energy Data Book: 2.2 Residential Sector Characteristics  

Buildings Energy Data Book (EERE)

Square footage includes attic, garage, and basement square footage. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008. Share of Average Home Size (1) Average Home Size...

52

Carbon dioxide emissions grow in the residential sector ...  

U.S. Energy Information Administration (EIA)

Accounting for this increased CO 2 share is the 19-fold growth in residential ... illustrates the importance of the relationship of power plant ...

53

Solar Adoption and Energy Consumption in the Residential Sector.  

E-Print Network (OSTI)

??This dissertation analyzes the energy consumption behavior of residential adopters of solar photovoltaic systems (solar-PV). Based on large data sets from the San Diego region (more)

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

54

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

Cason. 1990. Residential Energy Usage Comparison Project: AnResearch, Inc. 1985. Energy Usage Analysis of Residentialthere are few data on the energy usage of new buildings,

Wenzel, T.P.

2010-01-01T23:59:59.000Z

55

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

Options for Residential Appliances and Space ConditioningAHAM, Association of Home Appliance Manufacturers. 1991.AHAM, Association of Home Appliance Manufacturers. 1996.

Wenzel, T.P.

2010-01-01T23:59:59.000Z

56

Potential Energy Choices and Their Determinants for the Residential Sector  

Science Conference Proceedings (OSTI)

This report is part of the Understanding Energy Markets research initiative and is the third in a series of four reports championed by EPRIsolutions to deepen the understanding of the residential marketplace. It is designed to support energy suppliers in predicting and winning market share potential. In particular, it examines residential customers' past switching behavior, reasons for switching electricity providers, profiles of likely electric switchers, and interest in bundled energy offers. The exper...

2000-11-22T23:59:59.000Z

57

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

SciTech Connect

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

Not Available

1980-09-01T23:59:59.000Z

58

Strategies for Low Carbon Growth In India: Industry and Non Residential Sectors  

Science Conference Proceedings (OSTI)

This report analyzed the potential for increasing energy efficiency and reducing greenhouse gas emissions (GHGs) in the non-residential building and the industrial sectors in India. The first two sections describe the research and analysis supporting the establishment of baseline energy consumption using a bottom up approach for the non residential sector and for the industry sector respectively. The third section covers the explanation of a modeling framework where GHG emissions are projected according to a baseline scenario and alternative scenarios that account for the implementation of cleaner technology.

Sathaye, Jayant; de la Rue du Can, Stephane; Iyer, Maithili; McNeil, Michael; Kramer, Klaas Jan; Roy, Joyashree; Roy, Moumita; Chowdhury, Shreya Roy

2011-04-15T23:59:59.000Z

59

Buildings Energy Data Book: 2.2 Residential Sector Characteristics  

Buildings Energy Data Book (EERE)

to 1,499 24% 1,500 to 1,999 16% 2,000 to 2,499 9% 2,500 to 2,999 7% 3,000 or more 11% Total 100% Source(s): EIA, 2005 Residential Energy Consumption Survey, Oct. 2008, Table HC1-3....

60

Buildings Energy Data Book: 2.2 Residential Sector Characteristics  

Buildings Energy Data Book (EERE)

6.9% 5 or more units 2.1% 13.0% 15.0% Mobile Homes 5.1% 1.1% 6.2% Total 70.3% 29.6% 100% Source(s): EIA, 2005 Residential Energy Consumption Survey, Oct. 2008, Table HC3-1 and HC4...

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


61

Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results  

E-Print Network (OSTI)

G. Koomey. 1994. Residential Appliance Data, Assumptions andunits) Table A 3 : Number of Appliances in Existing Homes (sector, including appliances and heating, ventilation, and

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

62

State energy price projections for the residential sector, 1992--1993  

Science Conference Proceedings (OSTI)

The purpose of this report, State Energy Price Projections for the Residential Sector, 1992--1993, is to provide projections of State-level residential prices for 1992 and 1993 for the following fuels: electricity, natural gas, heating oil, liquefied petroleum gas (LPG), kerosene, and coal. Prices for 1991 are also included for comparison purposes. This report also explains the methodology used to produce these estimates and the limitations.

Not Available

1992-09-24T23:59:59.000Z

63

State energy price projections for the residential sector, 1992--1993. [Contains model documentation  

SciTech Connect

The purpose of this report, State Energy Price Projections for the Residential Sector, 1992--1993, is to provide projections of State-level residential prices for 1992 and 1993 for the following fuels: electricity, natural gas, heating oil, liquefied petroleum gas (LPG), kerosene, and coal. Prices for 1991 are also included for comparison purposes. This report also explains the methodology used to produce these estimates and the limitations.

Not Available

1992-09-24T23:59:59.000Z

64

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

SciTech Connect

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code. This reference document provides a detailed description for energy analysts, other users, and the public. The NEMS Residential Sector Demand Module is currently used for mid-term forecasting purposes and energy policy analysis over the forecast horizon of 1993 through 2020. The model generates forecasts of energy demand for the residential sector by service, fuel, and Census Division. Policy impacts resulting from new technologies, market incentives, and regulatory changes can be estimated using the module. 26 refs., 6 figs., 5 tabs.

NONE

1998-01-01T23:59:59.000Z

65

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

1 1 2005 Energy Expenditures per Household, by Housing Type and Square Footage ($2010) Per Household Single-Family 1.16 Detached 1.16 Attached 1.20 Multi-Family 1.66 2 to 4 units 1.90 5 or more units 1.53 Mobile Home 1.76 All Homes 1.12 Note(s): Source(s): 1) Energy expenditures per square foot were calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008, Table US-1 part1; and EIA, Annual Energy Review 2010, Oct. 2011, Appendix D, p. 353 for

66

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

2 2 2005 Household Energy Expenditures, by Vintage ($2010) | Year | Prior to 1950 887 | 22% 1950 to 1969 771 | 22% 1970 to 1979 736 | 16% 1980 to 1989 741 | 16% 1990 to 1999 752 | 16% 2000 to 2005 777 | 9% | Average 780 | Total 100% Note(s): Source(s): 1.24 2,003 1) Energy expenditures per square foot were calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008 for 2005 expenditures; and EIA, Annual Energy Review 2010, Oct. 2011, Appendix D, p. 353 for price inflators.

67

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

7 7 Range 10 4 48 Clothes Dryer 359 (2) 4 49 Water Heating Water Heater-Family of 4 40 64 (3) 26 294 Water Heater-Family of 2 40 32 (3) 12 140 Note(s): Source(s): 1) $1.139/therm. 2) Cycles/year. 3) Gallons/day. A.D. Little, EIA-Technology Forecast Updates - Residential and Commercial Building Technologies - Reference Case, Sept. 2, 1998, p. 30 for range and clothes dryer; LBNL, Energy Data Sourcebook for the U.S. Residential Sector, LBNL-40297, Sept. 1997, p. 62-67 for water heating; GAMA, Consumers' Directory of Certified Efficiency Ratings for Heating and Water Heating Equipment, Apr. 2002, for water heater capacity; and American Gas Association, Gas Facts 1998, December 1999, www.aga.org for range and clothes dryer consumption. Operating Characteristics of Natural Gas Appliances in the Residential Sector

68

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

E-Print Network (OSTI)

in producing a given level of output or activity. It is measured by the quantity of energy required to perform a particular activity (service) expressed as energy per unit of output or activity measure of service (EERE, 2010). In the residential sector...

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

69

Buildings Energy Data Book: 1.2 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

Residential Sector Energy Consumption March 2012 1.2.9 Implicit Price Deflators (2005 1.00) Year Year Year 1980 0.48 1990 0.72 2000 0.89 1981 0.52 1991 0.75 2001 0.91 1982 0.55...

70

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

4 4 2005 Average Household Expenditures as Percent of Annual Income, by Census Region ($2010) Item Energy (1) Shelter (2) Food Telephone, water and other public services Household supplies, furnishings and equipment (3) Transportation (4) Healthcare Education Personal taxes (5) Average Annual Expenditures Average Annual Income Note(s): Source(s): 1) Average household energy expenditures are calculated from the Residential Energy Consumption Survey (RECS), while average expenditures for other categories are calculated from the Consumer Expenditure Survey (CE). RECS assumed total US households to be 111,090,617 in 2005, while the CE data is based on 117,356,000 "consumer units," which the Bureau of Labor Statistics defines to be financially independent persons or groups of people that use their incomes to make joint expenditure decisions, including all members of a

71

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

3 3 2005 Average Household Expenditures, by Census Region ($2010) Item Energy (1) Shelter (2) Food Telephone, water and other public services Household supplies, furnishings and equipment (3) Transportation (4) Healthcare Education Personal taxes (5) Other expenditures Average Annual Income Note(s): Source(s): 1) Average household energy expenditures are calculated from the Residential Energy Consumption Survey (RECS), while average expenditures for other categories are calculated from the Consumer Expenditure Survey (CE). RECS assumed total US households to be 111,090,617 in 2005, while the CE data is based on 117,356,000 "consumer units," which the Bureau of Labor Statistics defines to be financially independent persons or groups of people that use their incomes to make joint expenditure decisions, including all members of a

72

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

5 5 2010 Residential Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. LPG Kerosene Total Coal Electricity Total Percent Space Heating (2) 38.7 11.2 8.0 19.8 0.0 14.3 72.9 28.9% Space Cooling (3) 0.0 35.4 35.4 14.0% Water Heating (4) 14.3 2.1 2.0 4.0 14.2 32.6 12.9% Lighting 22.6 22.6 9.0% Refrigeration (5) 14.9 14.9 5.9% Electronics (6) 17.8 17.8 7.1% Cooking 2.4 0.8 0.8 6.0 9.2 3.7% Wet Cleaning (7) 0.6 10.7 11.3 4.5% Computers 5.6 5.6 2.2% Other (8) 0.0 4.4 4.4 6.7 11.1 4.4% Adjust to SEDS (9) 13.6 13.6 5.4% Total 56.1 13.3 15.2 29.0 0.0 166.8 251.8 100% Note(s): Source(s): 0.5 0.5 1) Expenditures include coal and exclude wood. 2) Includes furnace fans ($4.5 billion). 3) Fan energy use included. 4) Includes residential recreational water heating ($1.4 billion). 5) Includes refrigerators ($15.3 billion) and freezers ($4.4 billion). 6) Includes color televisions ($11.0

73

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

3 3 Residential Aggregate Energy Expenditures, by Year and Major Fuel Type ($2010 Billion) (1) Electricity Total 1980 158.5 1981 164.0 1982 172.3 1983 176.1 1984 178.5 1985 176.8 1986 169.2 1987 167.1 1988 170.1 1989 172.8 1990 168.2 1991 169.9 1992 166.7 1993 175.6 1994 174.9 1995 172.7 1996 181.8 1997 180.0 1998 173.5 1999 174.0 2000 192.8 2001 203.3 2002 192.1 2003 208.8 2004 215.1 2005 236.7 2006 240.0 2007 246.1 2008 259.6 2009 241.6 2010 251.8 2011 251.3 2012 247.1 2013 240.3 2014 239.4 2015 241.7 2016 241.8 2017 243.0 2018 244.7 2019 246.4 2020 247.9 2021 250.4 2022 253.3 2023 255.6 2024 257.8 2025 260.3 2026 263.2 2027 266.0 2028 267.6 2029 268.1 2030 269.7 2031 272.9 2032 276.6 2033 280.4 2034 284.6 2035 288.6 Note(s): Source(s): 1) Residential petroleum products include distillate fuel oil, LPG, and kerosene. EIA, State Energy Data 2009: Prices and Expenditures, Jun. 2011, Table 2 for 1980-2009; EIA, Annual Energy Outlook 2012 Early Release, Jan. 2012, Table

74

Directory of energy efficiency information services for the residential and commercial sectors  

SciTech Connect

This directory is a compilation of organizations which disseminate a wide range of information on the efficient use of energy in the residential and commercial sectors. Each organization's services are defined by the informations' targeted audience, types of services offered, topics and sectors addressed and access terms required. The organizations included in this directory are based on the Guide to Energy Efficiency Information Services for the Residential and Commercial Sectors, June 1987. The information is presented in two formats in this directory, each focusing on different manners of data retrieval. Section One provides a matrix illustrating the information available by the type of energy-efficiency services offered and Section Two presents information on available services in an alphabetized list by the organization name.

Not Available

1988-11-30T23:59:59.000Z

75

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

5 5 2005 Households and Energy Expenditures, by Income Level ($2010) Energy Expenditures by Household Income Households (millions) Household Less than $10,000 9.9 9% $10,000 to $14,999 8.5 8% $15,000 to $19,999 8.4 8% $20,000 to $29,999 15.1 14% $30,000 to $39,999 13.6 12% $40,000 to $49,999 11.0 10% $50,000 to $74,999 19.8 18% $75,000 to $99,999 10.6 10% $100,000 or more 14.2 13% Total 111.1 100% Note(s): Source(s): 7% 1) See Table 2.3.15 for more on energy burdens. 2) A household is defined as a family, an individual, or a group of up to nine unrelated individuals occupying the same housing unit. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008, Table US-1 part 2; and EIA, Annual Energy Review 2010, Oct. 2011, Appendix D, p. 353 for price inflators. 2,431 847 3% 2,774 909 3% 1,995

76

Energy-Efficient Water Heating Program for the Residential Sector.  

Science Conference Proceedings (OSTI)

During the power surplus period of the late 1980's, Bonneville sponsored market research which provided an understanding of the market environment in the water heating end-use. The major areas of investigation included market trends, consumer purchasing practices, unit price, and availability of energy-efficient models. In 1988, Bonneville conducted a series of meetings with utilities operating water heater programs. Discussions focused on utility program concerns and the appropriate role for Bonneville as the region seeks efficiency in residential water heating. The design of the Program is based to a large degree on the experiences gained by regional utilities operating water heater incentive programs. In addition, an analysis of incentive programs operated outside the region has been helpful in the development of a regional program. Bonneville is a member of the Appliance Efficiency Group (AEG), formerly the Northwest Appliance Efficiency Group, and participates in discussions on water heating issues as they relate to the Pacific Northwest. The work done with the Appliance Efficiency Group has provided additional input in the development of the Program. This Program has been developed using a Public Involvement Process. A draft program strategy was made available to the public for comment during April 1990. The comments received were considered in the development of this document.

United States. Bonneville Power Administration.

1990-09-01T23:59:59.000Z

77

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

8 8 2035 Residential Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. LPG Kerosene Total Coal Electricity Total Percent Space Heating (2) 44.3 10.3 7.7 18.6 0.0 16.0 79.0 27.4% Space Cooling (3) 0.0 40.6 40.6 14.1% Water Heating 17.6 1.2 1.2 2.3 17.7 37.6 13.0% Lighting 15.5 15.5 5.4% Refrigeration (4) 17.0 17.0 5.9% Electronics (5) 14.2 14.2 4.9% Wet Cleaning (6) 0.9 10.4 11.3 3.9% Cooking 3.2 0.8 0.8 4.8 8.9 3.1% Computers 8.7 8.7 3.0% Other (7) 0.0 7.7 7.7 47.9 55.7 19.3% Total 66.0 11.5 17.5 29.6 0.0 193.0 288.6 100% Note(s): Source(s): 0.6 0.6 1) Expenditures include coal and exclude wood. 2) Includes furnace fans ($4.8 billion). 3) Fan energy use included. 4) Includes refrigerators ($14.1 billion) and freezers ($2.9 billion). 5) Includes color televisions ($14.2 billion). 6) Includes clothes washers ($0.8 billion), natural gas

78

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

2 2 Residential Energy Prices, by Year and Fuel Type ($2010) LPG ($/gal) 1980 2.24 1981 2.51 1982 2.30 1983 2.14 1984 2.10 1985 1.96 1986 1.54 1987 1.42 1988 1.39 1989 1.48 1990 1.69 1991 1.56 1992 1.40 1993 1.33 1994 1.27 1995 1.22 1996 1.37 1997 1.34 1998 1.15 1999 1.16 2000 1.70 2001 1.59 2002 1.42 2003 1.67 2004 1.84 2005 2.36 2006 2.64 2007 2.81 2008 3.41 2009 2.52 2010 2.92 2011 3.62 2012 3.65 2013 3.43 2014 3.60 2015 3.74 2016 3.79 2017 3.86 2018 3.89 2019 3.92 2020 3.96 2021 3.99 2022 4.02 2023 4.07 2024 4.10 2025 4.15 2026 4.19 2027 4.23 2028 4.26 2029 4.30 2030 4.34 2031 4.35 2032 4.38 2033 4.43 2034 4.50 2035 4.55 Source(s): EIA, State Energy Data 2009: Prices and Expenditures, Jun. 2011, Table 2, p. 24-25 for 1980-2009; EIA, Annual Energy Outlook 2012 Early Release, Jan. 2012, Table A3, p. 6-8 for 2010-2035 and Table G1, p. 215 for fuels' heat content; and EIA, Annual Energy Review 2010, Oct. 2011, Appendix D, p. 353 for

79

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

7 7 2025 Residential Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. LPG Kerosene Total Coal Electricity Total Percent Space Heating (2) 39.7 11.5 7.8 19.9 0.0 15.0 74.5 28.6% Space Cooling (3) 0.0 36.2 36.2 13.9% Water Heating 16.0 1.4 1.3 2.7 17.1 35.9 13.8% Lighting 15.2 15.2 5.8% Refrigeration (4) 15.5 15.5 6.0% Electronics (5) 12.0 12.0 4.6% Wet Cleaning (6) 0.8 9.8 10.5 4.1% Cooking 2.7 0.8 0.8 4.3 7.8 3.0% Computers 7.7 7.7 2.9% Other (7) 0.0 6.4 6.4 38.7 45.0 17.3% Total 59.1 12.9 16.3 29.8 0.0 171.3 260.3 100% Note(s): Source(s): 0.6 0.6 1) Expenditures include coal and exclude wood. 2) Includes furnace fans ($4.7 billion). 3) Fan energy use included. 4) Includes refrigerators ($12.7 billion) and freezers ($2.8 billion). 5) Includes color televisions ($12 billion). 6) Includes clothes washers ($0.8 billion), natural gas

80

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

6 6 2015 Residential Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. LPG Kerosene Total Coal Electricity Total Percent Space Heating (2) 35.0 13.0 8.1 21.6 0.0 14.0 70.6 29.2% Space Cooling (3) 0.0 33.8 33.8 14.0% Water Heating 13.5 1.9 1.5 3.4 15.8 32.7 13.5% Lighting 17.6 17.6 7.3% Refrigeration (4) 15.0 15.0 6.2% Electronics (5) 10.9 10.9 4.5% Wet Cleaning (6) 0.6 10.8 11.4 4.7% Cooking 2.2 0.9 0.9 3.8 6.8 2.8% Computers 6.3 6.3 2.6% Other (7) 0.0 5.2 5.2 31.3 36.5 15.1% Total 51.3 14.9 15.7 31.1 0.0 159.3 241.7 100% Note(s): Source(s): 0.6 0.6 1) Expenditures include coal and exclude wood. 2) Includes furnace fans ($4.6 billion). 3) Fan energy use included. 4) Includes refrigerators ($12.3 billion) and freezers ($2.8 billion). 5) Includes color televisions ($10.9 billion). 6) Includes clothes washers ($1.1 billion), natural gas

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


81

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

Residential Energy Prices, by Year and Major Fuel Type ($2010 per Million Btu) Electricity Natural Gas Petroleum (1) Avg. 1980 36.40 8.35 16.77 17.64 1981 38.50 8.88 18.35 19.09 1982 40.15 10.08 17.28 19.98 1983 40.43 11.30 16.08 21.00 1984 38.80 11.02 15.61 20.20 1985 38.92 10.68 14.61 20.10 1986 38.24 9.98 11.88 19.38 1987 37.29 9.22 11.23 18.73 1988 36.22 8.80 10.83 18.02 1989 35.67 8.71 11.96 17.93 1990 35.19 8.63 13.27 18.64 1991 34.88 8.38 12.49 18.31 1992 34.79 8.28 11.23 17.76 1993 34.52 8.47 10.75 17.76 1994 34.04 8.63 10.63 17.87 1995 33.43 8.00 10.33 17.50 1996 32.63 8.21 11.70 17.28 1997 32.34 8.83 11.47 17.69 1998 31.33 8.55 9.96 17.73 1999 30.52 8.29 10.13 17.09 2000 30.13 9.54 14.18 18.06 2001 30.71 11.50 13.98 19.38 2002 29.73 9.24 12.26 17.89 2003 30.05 10.87 14.21 18.88 2004 29.98 11.97 15.54 19.76 2005 30.64 13.66 18.93 21.50 2006 32.67 14.30 21.06 23.34 2007 32.50

82

Buildings Energy Data Book: 2.2 Residential Sector Characteristics  

Buildings Energy Data Book (EERE)

3 3 Share of Total U.S. Households, by Census Region, Division, and Vintage, as of 2005 Prior to 1950 to 1970 to 1980 to 1990 to 2000 to Region 1950 1969 1979 1989 1999 2005 Northeast 6.7% 5.2% 2.4% 2.1% 1.3% 0.8% 18.5% New England 2.1% 1.2% 0.5% 0.5% 0.3% 0.3% 4.9% Middle Atlantic 4.6% 4.0% 1.9% 1.6% 1.0% 0.5% 13.6% Midwest 5.7% 5.8% 3.6% 2.5% 3.7% 1.7% 23.0% East North Central 4.3% 3.9% 2.7% 1.8% 2.1% 1.1% 16.0% West North Central 1.4% 1.9% 0.9% 0.7% 1.6% 0.6% 7.1% South 4.0% 6.9% 6.4% 7.5% 7.5% 4.3% 36.6% South Atlantic 2.0% 3.4% 3.5% 4.2% 4.3% 2.2% 17.4% East South Central 0.9% 1.3% 0.9% 1.0% 1.3% 0.7% 6.2% West South Central 1.2% 2.3% 4.7% 2.2% 1.8% 1.4% 13.6% West 3.4% 4.6% 4.5% 4.6% 3.1% 1.5% 21.8% Mountain 0.7% 1.2% 1.3% 1.5% 1.3% 0.9% 6.8% Pacific 2.8% 3.4% 3.3% 3.1% 1.8% 0.6% 15.0% United States 19.9% 22.5% 17.0% 16.7% 15.6% 8.3% 100% Source(s): All Vintages EIA, 2005 Residential Energy Consumption Survey, Oct. 2008, Table HC10

83

Baseline data for the residential sector and development of a residential forecasting database  

SciTech Connect

This report describes the Lawrence Berkeley Laboratory (LBL) residential forecasting database. It provides a description of the methodology used to develop the database and describes the data used for heating and cooling end-uses as well as for typical household appliances. This report provides information on end-use unit energy consumption (UEC) values of appliances and equipment historical and current appliance and equipment market shares, appliance and equipment efficiency and sales trends, cost vs efficiency data for appliances and equipment, product lifetime estimates, thermal shell characteristics of buildings, heating and cooling loads, shell measure cost data for new and retrofit buildings, baseline housing stocks, forecasts of housing starts, and forecasts of energy prices and other economic drivers. Model inputs and outputs, as well as all other information in the database, are fully documented with the source and an explanation of how they were derived.

Hanford, J.W.; Koomey, J.G.; Stewart, L.E.; Lecar, M.E.; Brown, R.E.; Johnson, F.X.; Hwang, R.J.; Price, L.K.

1994-05-01T23:59:59.000Z

84

LBL-40297 UC-1600 ENERGY DATA SOURCEBOOK FOR THE U.S. RESIDENTIAL SECTOR  

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

40297 40297 UC-1600 ENERGY DATA SOURCEBOOK FOR THE U.S. RESIDENTIAL SECTOR Tom P. Wenzel, Jonathan G. Koomey, Gregory J. Rosenquist, Marla Sanchez, and James W. Hanford September 1997 Energy Analysis Program Environmental Energy Technologies Division Lawrence Berkeley National Laboratory University of California Berkeley, CA 94720 http://enduse.lbl.gov/Projects/RED.html This work was supported by the Assistant Secretary for Energy Efficiency and Renewable Energy, Office of Building Technology, State, and Community Programs of the U.S. Department of Energy under Contract No. DE-AC03- 76SF00098. i ABSTRACT Analysts assessing policies and programs to improve energy efficiency in the residential sector require disparate input data from a variety of sources. This sourcebook, which updates a previous

85

Regional comparisons of on-site solar potential in the residential and industrial sectors  

SciTech Connect

Regional and sub-regional differences in the potential development of decentralized solar technologies are studied. Two sectors of the economy were selected for intensive analysis: the residential and industrial sectors. In both investigations, the sequence of analysis follows the same general steps: (1) selection of appropriate prototypes within each land-use sector disaggregated by census region; (2) characterization of the end-use energy demand of each prototype in order to match an appropriate decentralized solar technology to the energy demand; (3) assessment of the energy conservation potential within each prototype limited by land use patterns, technology efficiency, and variation in solar insolation; and (4) evaluation of the regional and sub-regional differences in the land use implications of decentralized energy supply technologies that result from the combination of energy demand, energy supply potential, and the subsequent addition of increasingly more restrictive policies to increase the percent contribution of on-site solar energy. Results are presented and discussed. It is concluded that determining regional variations in solar energy contribution for both the residential and industrial sectors appears to be more dependent upon a characterization of existing demand and conservation potential than regional variations in solar insolation. Local governmental decisions influencing developing land use patterns can significantly promote solar energy use and reduce reliance on non-renewable energy sources. These decisions include such measures as solar access protection through controls on vegetation and on building height and density in the residential sector, and district heating systems and industrial co-location in the manufacturing sector. (WHK)

Gatzke, A.E.; Skewes-Cox, A.O.

1980-10-01T23:59:59.000Z

86

Residential Sector  

Gasoline and Diesel Fuel Update (EIA)

5.94 5.94 15.88 15.47 15.61 15.61 16.19 16.30 16.49 16.10 16.51 16.45 16.78 15.71 16.14 16.45 Middle Atlantic ............. 14.85 15.35 15.64 15.16 15.08 15.70 16.48 15.74 15.27 16.00 16.67 15.96 15.27 15.77 15.99 E. N. Central ................ 11.72 12.37 12.12 12.00 11.48 12.45 12.30 12.03 11.80 12.69 12.68 12.19 12.05 12.05 12.33 W. N. Central .............. 9.64 11.03 11.45 10.12 9.94 11.39 12.05 10.27 10.28 11.56 11.99 10.51 10.59 10.91 11.08 S. Atlantic .................... 11.07 11.48 11.65 11.22 10.89 11.48 11.77 11.31 10.99 11.64 11.85 11.42 11.38 11.38 11.49 E. S. Central ................ 10.05 10.44 10.38 10.41 10.04 10.69 10.65 10.45 10.35 10.96 11.01 10.73 10.32 10.45 10.76 W. S. Central ............... 10.14 10.30 10.35 10.37 10.23 10.94 10.91 10.73 10.59 10.97 11.07 10.80 10.30 10.73 10.88 Mountain .....................

87

Is Efficiency Enough? Towards a New Framework for Carbon Savings in the California Residential Sector  

E-Print Network (OSTI)

Report. 2004. California Residential Appliance SaturationAdministration (EIA). 1996. Residential Energy ConsumptionEIA). 1999. A Look at Residential Energy Consumption in

Moezzi, Mithra; Diamond, Rick

2005-01-01T23:59:59.000Z

88

E Village LLC | Open Energy Information  

Open Energy Info (EERE)

Village LLC Village LLC Jump to: navigation, search Name E-Village LLC Place Muskegon, Michigan Zip 49440 Sector Solar, Wind energy Product Manufacturer of integrated battery/solar/wind products for commercial and residential markets. Coordinates 43.23424°, -86.245929° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.23424,"lon":-86.245929,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

89

State energy price projections for the residential sector, 1993--1994  

Science Conference Proceedings (OSTI)

The purpose of tills report, State Energy Price Projections for the Residential Sector, 1993--1994, is to provide projections of State-level residential prices for 1993 and 1994 for the following fuels: electricity, natural gas, heating oil, liquefied petroleum gas (LPG), kerosene, and coal. Prices for 1992 are also included for comparison purposes. This report also explains the methodology used to produce estimates and the limitations. This report is provided at the request of the Administration for Children and Families, US Department of Health and Human Services, which provides State grants to assist eligible households in meeting the costs of home energy use for space heating or cooling under the Low Income Home Energy Assistance Program (LIHEAP). Funds for LIHEAP are allocated according to each State`s share of home energy expenditures by low income households, if Congress allocates more than $1.975 billion for LIHEAP. Whenever less than $1.975 billion is allocated for LIHEAP, funds are allocated based on the allotment percentages for fiscal year 1984. This has been the case for the last several years. Each State`s share of the funds above $1.975 billion is determined using a formula based, in part, on the price estimates in this report. Several data sources and factors are used in deriving estimates on each State`s share of home energy expenditures by low-income households. One such factor is State-level residential energy prices. The State-level residential energy price projections presented in this report are derived from a set of forecasting equations estimated for each State, based on annual time series data from the Energy Information Administration`s (EIA) State Energy Price and Expenditure Report (SEPER) database, the EIA Natural Gas Monthly (NGM), the EIA Petroleum Marketing Annual (PMA), and the EIA Electric Power Monthly (EPM).

Not Available

1993-11-01T23:59:59.000Z

90

Space-Heating energy used by households in the residential sector.  

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

Detailed Tables Detailed Tables Energy End Uses Ranked by Energy Consumption, 1989 The following 28 tables present detailed data describing the consumption of and expenditures for energy used by households in the residential sector. The data are presented at the national level, Census region and division levels, for climate zones and for the most populous States, as well as for other selected characteristics of households. This section provides assistance in reading the tables by explaining some of the headings for the categories of data. It also explains the use of the row and column factors to compute the relative standard error of the estimates given in the tables. Organization of the Tables The tables cover consumption and expenditures for six topical areas: Major Energy Source

91

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

SciTech Connect

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

NONE

1995-03-01T23:59:59.000Z

92

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

Science Conference Proceedings (OSTI)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code. This document serves three purposes. First, it is a reference document 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.

NONE

1997-01-01T23:59:59.000Z

93

RESIDENTIAL ENERGY CONSUMPTION SURVEY 1997 CONSUMPTION AND ...  

U.S. Energy Information Administration (EIA)

Residential Sector energy Intensities for 1978-1997 using data from EIA Residential Energy Consumption Survey.

94

Is Efficiency Enough? Towards a New Framework for Carbon Savings in the California Residential Sector  

E-Print Network (OSTI)

only 27% of national energy consumption is consumed directlynational policies affecting the state. Nationwide, energy consumptionNational Association of Home Builders Personal Computer Portland Gas and Electric Residential Appliance Saturation Survey Residential Energy Consumption

Moezzi, Mithra; Diamond, Rick

2005-01-01T23:59:59.000Z

95

Assessment of IP Addressable Microprocessor-Based Adjustable Speed Drives for Small Motors in the Residential Sector Applications  

Science Conference Proceedings (OSTI)

This technical update explores use of microprocessor-based adjustable speed drives (ASDs) used in the residential sector for small motor applications. It provides a detailed summary of the key players in the industry who are involved with the motor control design. It also provides insights about advantages of going from traditional motor control to embedded microprocessor-based electric motor drive systems. Finally, this technical updates describes the possibility of connecting these devices to the Inter...

2008-12-16T23:59:59.000Z

96

Is Efficiency Enough? Towards a New Framework for Carbon Savings in the California Residential Sector  

E-Print Network (OSTI)

of residential electricity consumption surpassed the rate ofresidential electricity consumption increased at a rate ofresidential electricity consumption grew 49%, a slightly lower growth rate

Moezzi, Mithra; Diamond, Rick

2005-01-01T23:59:59.000Z

97

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

Residential Building Component Loads as of 1998 (1) 1) "Load" represents the thermal energy lossesgains that when combined will be offset by a building's heatingcooling system...

98

Potential Impact of Adopting Maximum Technologies as Minimum Efficiency Performance Standards in the U.S. Residential Sector  

SciTech Connect

The US Department of Energy (US DOE) has placed lighting and appliance standards at a very high priority of the U.S. energy policy. However, the maximum energy savings and CO2 emissions reduction achievable via minimum efficiency performance standards (MEPS) has not yet been fully characterized. The Bottom Up Energy Analysis System (BUENAS), first developed in 2007, is a global, generic, and modular tool designed to provide policy makers with estimates of potential impacts resulting from MEPS for a variety of products, at the international and/or regional level. Using the BUENAS framework, we estimated potential national energy savings and CO2 emissions mitigation in the US residential sector that would result from the most aggressive policy foreseeable: standards effective in 2014 set at the current maximum technology (Max Tech) available on the market. This represents the most likely characterization of what can be maximally achieved through MEPS in the US. The authors rely on the latest Technical Support Documents and Analytical Tools published by the U.S. Department of Energy as a source to determine appliance stock turnover and projected efficiency scenarios of what would occur in the absence of policy. In our analysis, national impacts are determined for the following end uses: lighting, television, refrigerator-freezers, central air conditioning, room air conditioning, residential furnaces, and water heating. The analyzed end uses cover approximately 65percent of site energy consumption in the residential sector (50percent of the electricity consumption and 80percent of the natural gas and LPG consumption). This paper uses this BUENAS methodology to calculate that energy savings from Max Tech for the U.S. residential sector products covered in this paper will reach an 18percent reduction in electricity demand compared to the base case and 11percent in Natural Gas and LPG consumption by 2030 The methodology results in reductions in CO2 emissions of a similar magnitude.

Letschert, Virginie; Desroches, Louis-Benoit; McNeil, Michael; Saheb, Yamina

2010-05-03T23:59:59.000Z

99

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

SciTech Connect

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.

Koomey, J.G.; Brown, R.E.; Richey, R. [and others

1995-12-01T23:59:59.000Z

100

Potential Impact of Adopting Maximum Technologies as Minimum Efficiency Performance Standards in the U.S. Residential Sector  

E-Print Network (OSTI)

appliance_standards/residential/heating_p roducts_fr_appliance_standards/residential/cac_heatp umps_new_buildings/appliance_standards/residential/fb_tsd_09 07.html

Letschert, Virginie

2010-01-01T23:59:59.000Z

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


101

Achieving real transparency : optimizing building energy ratings and disclosure in the U.S. residential sector  

E-Print Network (OSTI)

Residential energy efficiency in the U.S. has the potential to generate significant energy, carbon, and financial savings. Nonetheless, the market of home energy upgrades remains fragmented, and the number of homes being ...

Nadkarni, Nikhil S. (Nikhil Sunil)

2012-01-01T23:59:59.000Z

102

Is Efficiency Enough? Towards a New Framework for Carbon Savings in the California Residential Sector  

E-Print Network (OSTI)

these years, residential electricity consumption grew 49%, aElectricity consumption has increased over the past 20 years,electricity consumption for single-family residences (7,105 kWh/year).

Moezzi, Mithra; Diamond, Rick

2005-01-01T23:59:59.000Z

103

Application analysis of solar total energy systems to the residential sector. Volume II, energy requirements. Final report  

DOE Green Energy (OSTI)

This project analyzed the application of solar total energy systems to appropriate segments of the residential sector and determined their market penetration potential. This volume covers the work done on energy requirements definition and includes the following: (1) identification of the single-family and multi-family market segments; (2) regionalization of the United States; (3) electrical and thermal load requirements, including time-dependent profiles; (4) effect of conservation measures on energy requirements; and (5) verification of simulated load data with real data.

Not Available

1979-07-01T23:59:59.000Z

104

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

4 4 Ownership (1) Owned 54.9 104.5 40.3 78% Rented 77.4 71.7 28.4 22% Public Housing 75.7 62.7 28.7 2% Not Public Housing 77.7 73.0 28.4 19% 100% Note(s): Source(s): 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008 2005 Residential Delivered Energy Consumption Intensities, by Ownership of Unit Per Square Per Household Per Household Percent of Foot (thousand Btu) (million Btu) Members (million Btu) Total Consumption

105

Building-Integrated Photovoltaics (BIPV) in the Residential Sector: An Analysis of Installed Rooftop System Prices  

DOE Green Energy (OSTI)

For more than 30 years, there have been strong efforts to accelerate the deployment of solar-electric systems by developing photovoltaic (PV) products that are fully integrated with building materials. This report examines the status of building-integrated PV (BIPV), with a focus on the cost drivers of residential rooftop systems, and explores key opportunities and challenges in the marketplace.

James, T.; Goodrich, A.; Woodhouse, M.; Margolis, R.; Ong, S.

2011-11-01T23:59:59.000Z

106

State energy price projections for the residential sector, 1991--1992  

Science Conference Proceedings (OSTI)

The purpose of this report is to provide projections of State-level residential prices for 1991 and 1992 for the following fuels: electricity, natural gas, heating oil, liquefied petroleum gas (LPG), kerosene, and coal. Prices for 1990 are also included for comparison purposes. This report also explains the methodology used to produce these estimates and the limitations. (VC)

Not Available

1991-11-08T23:59:59.000Z

107

Renewable energy options in Saudi Arabia: the economic viability of solar photovoltaics within the residential sector  

Science Conference Proceedings (OSTI)

Renewable energy options, including solar power, are becoming progressively more viable and thus increasingly pose challenges to conventional sources of energy, such as oil, coal and natural gas. Solar Photovoltaic technology is one type of solar energy ... Keywords: Saudi Arabia, feasibility study, renewable energy, residential buildings, solar photovoltaics

Yasser Al-Saleh; Hanan Taleb

2009-02-01T23:59:59.000Z

108

Is Efficiency Enough? Towards a New Framework for Carbon Savings in the California Residential Sector  

E-Print Network (OSTI)

STAT-ABS/Sa_home.htm. California Energy Circuit. August 13,to Surge in Inland Empire. California Energy Commission.2002. California Energy Consumption by Sector.

Moezzi, Mithra; Diamond, Rick

2005-01-01T23:59:59.000Z

109

1996-2004 Trends in the Single-Family Housing Market: Spatial Analysis of the Residential Sector  

SciTech Connect

This report provides a detailed geographic analysis of two specific topics affecting the residential sector. First, we performed an analysis of new construction market trends using annual building permit data. We report summarized tables and national maps to help illustrate market conditions. Second, we performed a detailed geographic analysis of the housing finance market. We analyzed mortgage application data to provide citable statistics and detailed geographic summarization of the residential housing picture in the US for each year in the 1996-2004 period. The databases were linked to geographic information system tools to provide various map series detailing the results geographically. Looking at these results geographically may suggest potential new markets for TD programs addressing the residential sector that have not been considered previously. For example, we show which lenders affect which regions and which income or mortgage product classes. These results also highlight the issue of housing affordability. Energy efficiency R&D programs focused on developing new technology for the residential sector must be conscious of the costs of products resulting from research that will eventually impact the home owner or new home buyer. Results indicate that home values as a proportion of median family income in Building America communities are closely aligned with the national average of home value as a proportion of median income. Other key findings: The share of home building and home buying activity continues to rise steadily in the Hot-Dry and Hot-Humid climate zones, while the Mixed-Humid and Cold climate zone shares continue to decline. Other zones remain relatively stable in terms of share of housing activity. The proportion of home buyers having three times the median family income for their geography has been steadily increasing during the study period. Growth in the Hispanic/Latino population and to a lesser degree in the Asian population has translated into proportional increases in share of home purchasing by both groups. White home buyers continue to decline as a proportion all home buyers. Low interest rate climate resulted in lenders moving back to conventional financing, as opposed to government-backed financing, for cases that would be harder to financing in higher rate environments. Government loan products are one mechanism for affecting energy efficiency gains in the residential sector. The rate environment and concurrent deregulation of the finance industry resulted unprecedented merger and acquisition activity among financial institutions during the study period. This study conducted a thorough accounting of this merger activity to inform the market share analysis provided. The home finance industry quartiles feature 5 lenders making up the first quartile of home purchase loans, 18 lenders making up the second quartile, 111 lenders making up the third quartile, and the remaining nearly 8,000 lenders make up the fourth quartile.

Anderson, Dave M.; Elliott, Douglas B.

2006-09-05T23:59:59.000Z

110

Comparative Attitudes Toward Utility Type Services: Tracking Perceptions in the Residential Sector  

Science Conference Proceedings (OSTI)

This report is the first in a series of three EPRIsolutions research reports tracking customer perceptions toward five utility providers (electric, natural gas, cable TV, long distance telephone and local telephone), and comparing the performance trends ratings among these different utility companies over time. This particular market assessment focuses on the attitudes of the Residential segment. The next two reports will assess customer attitudes for the large business and mass market segments. The Unde...

2000-10-31T23:59:59.000Z

111

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

1 1 Type (1) Single-Family: 55.4 106.6 39.4 80.5% Detached 55.0 108.4 39.8 73.9% Attached 60.5 89.3 36.1 6.6% Multi-Family: 78.3 64.1 29.7 14.9% 2 to 4 units 94.3 85.0 35.2 6.3% 5 or more units 69.8 54.4 26.7 8.6% Mobile Homes 74.6 70.4 28.5 4.6% All Housing Types 58.7 95.0 37.0 100% Note(s): Source(s): 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008. 2005 Residential Delivered Energy Consumption Intensities, by Housing Type

112

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

2 2 Year Built (1) Prior to 1950 74.5 114.9 46.8 24% 1950 to 1969 66.0 96.6 38.1 23% 1970 to 1979 59.4 83.4 33.5 15% 1980 to 1989 51.9 81.4 32.3 14% 1990 to 1999 48.2 94.4 33.7 16% 2000 to 2005 44.7 94.7 34.3 8% Average 58.7 95.0 40.0 Note(s): Source(s): 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008. 2005 Residential Delivered Energy Consumption Intensities, by Vintage Per Square Per Household Per Household

113

Buildings Energy Data Book: 8.2 Residential Sector Water Consumption  

Buildings Energy Data Book (EERE)

1 1 Residential Water Use by Source (Million Gallons per Day) Year 1980 3,400 1985 3,320 1990 3,390 1995 3,390 2000 (3) (3) 3,590 2005 3,830 Note(s): Source(s): 29,430 25,600 1) Public supply water use: water withdrawn by public and private water suppliers that furnish water to at least 25 people or have a minimum of 15 connections. 2) Self-supply water use: Water withdrawn from a groundwater or surface-water source by a user rather than being obtained from a public supply. 3) USGS did not provide estimates of residential use from public supplies in 2000. This value was estimated based on the residential portion of public supply in 1995 and applied to the total public supply water use in 2000. U.S. Geological Survey, Estimated Use of Water in the U.S. in 1985, U.S. Geological Survey Circular 1004, 1988; U.S. Geological Survey, Estimated Use of

114

Potential Impact of Adopting Maximum Technologies as Minimum Efficiency Performance Standards in the U.S. Residential Sector  

E-Print Network (OSTI)

buildings/appliance_standards/residential/cac_heatp umps_buildings/appliance_standards/residential/fb_tsd_09 07.htmlof Energy Efficiency Standards and Labeling Programs, LBNL

Letschert, Virginie

2010-01-01T23:59:59.000Z

115

State energy price projections for the residential sector, 1990--1991  

Science Conference Proceedings (OSTI)

This report was prepared by the Energy Information Administration, Office of Energy Markets and End Use. This service report was developed in response to a request from the Family Support Administration of the US Department of Health and Human Services. Forecasts of State-level residential energy prices for 1990 and 1991 were required as input for the Low-Income Home Energy Assistance Program. This program allocates funds to the States to provide assistance to low-income households in meeting energy cost. (VC)

Not Available

1991-01-18T23:59:59.000Z

116

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

3 3 Building Type Pre-1995 1995-2005 Pre-1995 1995-2005 Pre-1995 1995-2005 Single-Family 38.4 44.9 102.7 106.2 38.5 35.5 Detached 37.9 44.7 104.5 107.8 38.8 35.4 Attached 43.8 55.5 86.9 85.1 34.2 37.6 Multi-Family 63.8 58.7 58.3 49.2 27.2 24.3 2 to 4 units 69.0 55.1 70.7 59.4 29.5 25.0 5 or more units 61.5 59.6 53.6 47.2 26.3 24.2 Mobile Homes 82.4 57.1 69.6 74.5 29.7 25.2 Note(s): Source(s): 2005 Residential Delivered Energy Consumption Intensities, by Principal Building Type and Vintage Per Square Foot (thousand Btu) (1) Per Household (million Btu) Per Household Member (million Btu) 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average

117

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

SciTech Connect

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

Letschert, Virginie; McNeil, Michael A.

2008-05-13T23:59:59.000Z

118

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

SciTech Connect

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

Letschert, Virginie; McNeil, Michael A.

2008-05-13T23:59:59.000Z

119

Buildings Energy Data Book: 8.2 Residential Sector Water Consumption  

Buildings Energy Data Book (EERE)

6 6 Residential Water Billing Rate Structures for Community Water Systems Rate Structure Uniform Rates Declining Block Rate Increasing Block Rate Peak Period or Seasonal Rate Separate Flat Fee Annual Connection Fee Combined Flat Fee Other Rate Structures Note(s): Source(s): 3.0% 9.0% 1) Systems serving more than 10,000 users provide service to 82% of the population served by community water systems. Columns do not sum to 100% because some systems use more than one rate structure. 2) Uniform rates charge a set price for each unit of water. Block rates charge a different price for each additional increment of usage. The prices for each increment is higher for increasing block rates and lower for decreasing block rates. Peak rates and seasonal rates charge higher prices when demand is highest. Flat fees charge a set price for

120

Behaviour Oriented Optimisation Strategies for Energy Efficiency in the Residential Sector  

E-Print Network (OSTI)

The aim of this paper is to combine the approaches of engineering and sociology in the assessment of behavioural influences on the energy demand of residential buildings and to define a common language and strategy for their description. For this purpose the calculation methods of the German Energy Conservation Regulations (EnEV 2007) further defined in the DIN 4108-6: 2003-06 will be evaluated to illustrate the relevant linkages to behavioural approaches. So far, there are few attempts to differentiate the large influence of individual behaviour (see Richter 2003, Loga 2003). The assessment of these values and their behavioural implications require a sociological approach towards energy relevant practices. Based on the calculation of the buildings energy balance an analytical framework will be suggested to link the heat demand with the lifestyles of consumers.

Koch, A.; Huber, A.; Avci, N.

2008-10-01T23:59:59.000Z

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


121

Is Efficiency Enough? Towards a New Framework for Carbon Savingsin the California Residential Sector  

SciTech Connect

The overall implementation of energy efficiency in the United States is not adequately aligned with the environmental benefits claimed for efficiency, because it does not consider absolute levels of energy use, pollutant emissions, or consumption. In some ways, promoting energy efficiency may even encourage consumption. A more effective basis for environmental policy could be achieved by recognizing the degree and nature of the synchronization between environmental objectives and efficiency. This research seeks to motivate and initiate exploration of alternative ways of defining efficiency or otherwise moderating energy use toward reaching environmental objectives, as applicable to residential electricity use in California. The report offers three main recommendations: (1) produce definitions of efficiency that better integrate absolute consumption, (2) attend to the deeper social messages of energy efficiency communications, and (3) develop a more critical perspective on benefits and limitations of energy efficiency for delivering environmental benefits. In keeping with the exploratory nature of this project, the report also identifies ten questions for further investigation.

Moezzi, Mithra; Diamond, Rick

2005-10-01T23:59:59.000Z

122

A Statistical Model to Assess Indirect CO2 Emissions of the UAE Residential Sector  

E-Print Network (OSTI)

This study presents a regional bottom-up model for assessing space cooling energy and related greenhouse gas emissions. The model was developed with the aim of improving the quality and quantity of cooling energy and emission data, especially for the benefit of local decision making. Based on a benchmarking study, a representative archetype was developed, simulation software used and linear statistical model constructed. This model explores the way in which CO2 emission levels are affected by different energy efficiency measures to reduce cooling energy consumption in buildings. The analysis showed that improving building energy efficiency could generate considerable carbon emissions reduction credits with competitive benefit. The developed model was found to be capable in selecting cost-effective, environmentally-preferred building efficiency measures and evaluating the future trend of CO2 emissions in the residential building of Al-Ain city.

Radhi, H.; Fikry, F.

2010-01-01T23:59:59.000Z

123

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

20 20 Site Consumption Primary Consumption Total Residential Industry Electric Gen. Transportation Residential Industry Transportation (quads) 1980 5% 28% 8% 56% | 8% 31% 56% 34.2 1981 5% 26% 7% 59% | 7% 29% 59% 31.9 1982 5% 26% 5% 61% | 6% 28% 61% 30.2 1983 4% 25% 5% 62% | 6% 27% 62% 30.1 1984 5% 26% 4% 61% | 6% 27% 61% 31.1 1985 5% 25% 4% 63% | 6% 26% 63% 30.9 1986 5% 24% 5% 63% | 6% 26% 63% 32.2 1987 5% 25% 4% 63% | 6% 26% 63% 32.9 1988 5% 24% 5% 63% | 6% 26% 63% 34.2 1989 5% 24% 5% 63% | 7% 25% 63% 34.2 1990 4% 25% 4% 64% | 5% 26% 64% 33.6 1991 4% 24% 4% 65% | 5% 26% 65% 32.8 1992 4% 26% 3% 65% | 5% 27% 65% 33.5 1993 4% 25% 3% 65% | 5% 26% 65% 33.8 1994 4% 25% 3% 65% | 5% 26% 65% 34.7 1995 4% 25% 2% 67% | 5% 26% 67% 34.6 1996 4% 25% 2% 66% | 5% 26% 66% 35.8 1997 4% 26% 3% 66% | 5% 26% 66% 36.3 1998 3% 25% 4% 66% | 5% 26% 66% 36.9 1999 4% 25% 3% 66% | 5% 26% 66% 38.0 2000 4% 24% 3% 67% | 5% 25% 67% 38.4 2001 4% 24% 3% 67% | 5% 25% 67% 38.3 2002 4% 24% 3% 68% | 5% 25% 68% 38.4 2003

124

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

9 9 Total Residential Industry Electric Gen. Transportation Residential Industry Transportation (quads) 1980 24% 41% 19% 3% | 30% 49% 3% 20.22 1981 23% 42% 19% 3% | 30% 49% 3% 19.74 1982 26% 39% 18% 3% | 32% 45% 3% 18.36 1983 26% 39% 17% 3% | 32% 46% 3% 17.20 1984 25% 40% 17% 3% | 31% 47% 3% 18.38 1985 25% 40% 18% 3% | 32% 46% 3% 17.70 1986 26% 40% 16% 3% | 32% 46% 3% 16.59 1987 25% 41% 17% 3% | 31% 47% 3% 17.63 1988 26% 42% 15% 3% | 31% 47% 3% 18.44 1989 25% 41% 16% 3% | 30% 47% 3% 19.56 1990 23% 43% 17% 3% | 29% 49% 4% 19.57 1991 23% 43% 17% 3% | 29% 49% 3% 20.03 1992 23% 43% 17% 3% | 29% 49% 3% 20.71 1993 24% 43% 17% 3% | 30% 48% 3% 21.24 1994 23% 42% 18% 3% | 29% 48% 3% 21.75 1995 22% 42% 19% 3% | 28% 49% 3% 22.71 1996 23% 43% 17% 3% | 29% 49% 3% 23.14 1997 22% 43% 18% 3% | 28% 49% 3% 23.34 1998 20% 43% 20% 3% | 27% 50% 3% 22.86 1999 21% 41% 21% 3% | 28% 48% 3% 22.88 2000 21% 40% 22% 3% | 29% 47% 3% 23.66 2001 21% 38% 24% 3% | 30% 45% 3% 22.69 2002 21% 38% 24% 3% | 30% 45%

125

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

0 0 Region (1) Northeast 73.5 122.2 47.7 24% New England 77.0 129.4 55.3 7% Middle Atlantic 72.2 119.7 45.3 17% Midwest 58.9 113.5 46.0 28% East North Central 61.1 117.7 47.3 20% West North Central 54.0 104.1 42.9 8% South 51.5 79.8 31.6 31% South Atlantic 47.4 76.1 30.4 16% East South Central 56.6 87.3 36.1 6% West South Central 56.6 82.4 31.4 9% West 56.6 77.4 28.1 18% Mountain 54.4 89.8 33.7 6% Pacific 58.0 71.8 25.7 11% U.S. Average 58.7 94.9 37.0 100% Note(s): Source(s): 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet.

126

Buildings Energy Data Book: 8.2 Residential Sector Water Consumption  

Buildings Energy Data Book (EERE)

2 2 1999 Single-Family Home Daily Water Consumption by End Use (Gallons per Capita) (1) Fixture/End Use Toilet 18.5 18.3% Clothes Washer 15 14.9% Shower 11.6 11.5% Faucet 10.9 10.8% Other Domestic 1.6 1.6% Bath 1.2 1.2% Dishwasher 1 1.0% Leaks 9.5 9.4% Outdoor Use (2) 31.7 31.4% Total (2) 101 100% Note(s): Source(s): Average gallons Total Use per capita per day Percent 1) Based analysis of 1,188 single-family homes at 12 study locations. 2) Total Water use derived from USGS. Outdoor use is the difference between total and indoor uses. American Water Works Association Research Foundation, Residential End Uses of Water, 1999; U.S. Geological Survey, Estimated Use of Water in the U.S. in 2000, U.S. Geological Survey Circular 1268, 2004, Table 6, p. 17; and Vickers, Amy, Handbook of Water Use and Conservation, June 2002, p. 15.

127

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

5 5 Natural Fuel Other Renw. Site Site Primary Gas Oil LPG Fuel(1) En.(2) Electric Total Percent Electric (3) Total Percent Space Heating (4) 3.50 0.53 0.30 0.04 0.43 0.44 5.23 44.7% | 1.35 6.15 27.8% Water Heating 1.29 0.10 0.07 0.01 0.45 1.92 16.4% | 1.38 2.86 12.9% Space Cooling 0.00 1.08 1.08 9.2% | 3.34 3.34 15.1% Lighting 0.69 0.69 5.9% | 2.13 2.13 9.7% Refrigeration (6) 0.45 0.45 3.9% | 1.41 1.41 6.4% Electronics (5) 0.54 0.54 4.7% | 1.68 1.68 7.6% Wet Cleaning (7) 0.06 0.33 0.38 3.3% | 1.01 1.06 4.8% Cooking 0.22 0.03 0.18 0.43 3.7% | 0.57 0.81 3.7% Computers 0.17 0.17 1.5% | 0.53 0.53 2.4% Other (8) 0.00 0.16 0.01 0.20 0.37 3.2% | 0.63 0.80 3.6% Adjust to SEDS (9) 0.42 0.42 3.6% | 1.29 1.29 5.8% Total 5.06 0.63 0.56 0.04 0.45 4.95 11.69 100% | 15.34 22.07 100% Note(s): Source(s): 2010 Residential Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Primary 1) Kerosene and coal are assumed attributable to space heating. 2) Comprised of wood space heating (0.42 quad), solar water heating (0.01

128

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

8 8 Natural Fuel Other Renw. Site Site Primary Gas Oil LPG Fuel(1) En.(2) Electric Total Percent Electric (3) Total Percent Space Heating (4) 3.20 0.31 0.22 0.03 0.46 0.49 4.72 38.9% | 1.45 5.67 23.9% Water Heating 1.27 0.04 0.03 0.02 0.54 1.90 15.6% | 1.60 2.96 12.5% Space Cooling 0.00 1.25 1.25 10.3% | 3.68 3.68 15.5% Lighting 0.48 0.48 3.9% | 1.41 1.41 5.9% Refrigeration (5) 0.52 0.52 4.3% | 1.54 1.54 6.5% Electronics (6) 0.44 0.44 3.6% | 1.29 1.29 5.4% Wet Cleaning (7) 0.07 0.32 0.39 3.2% | 0.95 1.01 4.3% Cooking 0.23 0.02 0.15 0.40 3.3% | 0.44 0.69 2.9% Computers 0.27 0.27 2.2% | 0.79 0.79 3.3% Other (8) 0.00 0.22 0.07 1.48 1.77 14.6% | 4.35 4.64 19.6% Total 4.76 0.35 0.51 0.03 0.55 5.94 12.14 100% | 17.50 23.69 100% Note(s): Source(s): 2035 Residential Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Primary 1) Kerosene and coal are assumed attributable to space heating. 2) Comprised of wood space heating (0.44 quad), solar water heating (0.02

129

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

7 7 Natural Fuel Other Renw. Site Site Primary Gas Oil LPG Fuel(1) En.(2) Electric Total Percent Electric (3) Total Percent Space Heating (4) 3.28 0.38 0.24 0.03 0.46 0.46 4.85 41.5% | 1.40 5.78 25.8% Water Heating 1.32 0.05 0.04 0.02 0.53 1.96 16.8% | 1.60 3.03 13.5% Space Cooling 0.00 1.12 1.12 9.6% | 3.38 3.38 15.1% Lighting 0.47 0.47 4.0% | 1.42 1.42 6.3% Refrigeration (5) 0.48 0.48 4.1% | 1.45 1.45 6.5% Electronics (6) 0.37 0.37 3.2% | 1.12 1.12 5.0% Wet Cleaning (7) 0.06 0.30 0.37 3.1% | 0.91 0.98 4.4% Cooking 0.22 0.03 0.13 0.38 3.2% | 0.40 0.64 2.9% Computers 0.24 0.24 2.0% | 0.72 0.72 3.2% Other (8) 0.00 0.20 0.07 1.20 1.46 12.5% | 3.61 3.87 17.3% Total 4.88 0.43 0.50 0.03 1.00 5.30 11.69 100% | 16.00 22.39 100% Note(s): Source(s): 2025 Residential Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Primary 1) Kerosene and coal are assumed attributable to space heating. 2) Comprised of wood space heating (0.43 quad), solar water heating (0.02

130

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

6 6 Natural Fuel Other Renw. Site Site Primary Gas Oil LPG Fuel(1) En.(2) Electric Total Percent Electric (3) Total Percent Space Heating (4) 3.40 0.48 0.26 0.03 0.44 0.42 5.03 44.2% | 1.27 5.88 27.9% Water Heating 1.31 0.07 0.05 0.02 0.48 1.92 16.9% | 1.44 2.88 13.7% Space Cooling 0.00 1.02 1.02 8.9% | 3.07 3.07 14.6% Lighting 0.53 0.53 4.6% | 1.60 1.60 7.6% Refrigeration (5) 0.45 0.45 4.0% | 1.37 1.37 6.5% Electronics (6) 0.33 0.33 2.9% | 0.99 0.99 4.7% Wet Cleaning (7) 0.06 0.33 0.39 3.4% | 0.98 1.04 5.0% Cooking 0.22 0.03 0.11 0.36 3.1% | 0.34 0.59 2.8% Computers 0.19 0.19 1.7% | 0.57 0.57 2.7% Other (8) 0.00 0.17 0.05 0.94 1.17 10.2% | 2.85 3.07 14.6% Total 4.99 0.55 0.51 0.03 0.51 4.79 11.38 100% | 14.47 21.06 100% Note(s): Source(s): 2015 Residential Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Primary 1) Kerosene and coal are assumed attributable to space heating. 2) Comprised of wood space heating (0.43 quad), solar water heating (0.02

131

Burlington Electric Department - Residential Energy Efficiency...  

Open Energy Info (EERE)

Sector Residential Eligible Technologies Clothes Washers, Lighting, Water Heaters, LED Lighting, Tankless Water Heaters Active Incentive Yes Implementing Sector Utility...

132

South Alabama Electric Cooperative - Residential Energy Efficiency...  

Open Energy Info (EERE)

Sector Residential Eligible Technologies Building Insulation, Doors, Heat pumps, Windows, Geothermal Heat Pumps Active Incentive Yes Implementing Sector Utility Energy...

133

A Water Conservation Scenario for the Residential and Industrial Sectors in California: Potential Saveings of Water and Related Energy  

E-Print Network (OSTI)

A WATER CONSERVATION SCENARIO FOR THE RESIDENTIAL ANDWater 'consumption, water conservation. City of Sacramento.Daniel Stockton. Water conservation. Contra Costa County

Benenson, P.

2010-01-01T23:59:59.000Z

134

Village of Clinton, Michigan (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Village of Village of Place Michigan Utility Id 3813 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Commercial Commercial Large Commercial Commercial Outside of Village Commercial Industrial Industrial Industrial Large Industrial Rural Residential Residential Village Residential Residential Average Rates Residential: $0.1370/kWh Commercial: $0.1220/kWh Industrial: $0.1040/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a"

135

Lake Placid Village, Inc (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Placid Village, Inc (Utility Company) Placid Village, Inc (Utility Company) Jump to: navigation, search Name Lake Placid Village, Inc Place New York Utility Id 10610 Utility Location Yes Ownership M NERC Location NPCC Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Non-Residential Commercial Non-Residential with Demand More than 25kW Commercial Residential Residential Average Rates Residential: $0.0488/kWh Commercial: $0.0450/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Lake_Placid_Village,_Inc_(Utility_Company)&oldid=410966

136

Energy efficiency standards for residential and commercial equipment: Additional opportunities  

E-Print Network (OSTI)

Savings in the Residential and Commercial Sectors with High Efficiency Electric Motors. Savings in the Residential and Commercial Sectors with High Efficiency Electric Motors. Savings in the Residential and Commercial Sectors with High Efficiency Electric Motors.

Rosenquist, Greg; McNeil, Michael; Iyer, Maithili; Meyers, Steve; McMahon, Jim

2004-01-01T23:59:59.000Z

137

RDI Development: Wisdom Way Solar Village, Greenfield, Massachusetts Field Test Report  

DOE Green Energy (OSTI)

NREL, Mountain Energy Partnership, and the Consortium of Advanced Residential Buildings conducted field tests on a house in Wisdom Way Solar Village to verify energy efficiency.

Fang, X.; Hancock, E.

2009-05-01T23:59:59.000Z

138

Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results  

E-Print Network (OSTI)

Development of a Residential Forecasting Database. Lawrenceand Methodology for End-Use Forecasting with EPRI-REEPS 2.1.and Methodology for End-Use Forecasting with EPRI-REEPS 2.1.

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

139

Operational energy consumption and GHG emissions in residential sector in urban China : an empirical study in Jinan  

E-Print Network (OSTI)

Driven by rapid urbanization and increasing household incomes, residential energy consumption in urban China has been growing steadily in the past decade, posing critical energy and greenhouse gas emission challenges. ...

Zhang, Jiyang, M.C.P. Massachusetts Institute of Technology

2010-01-01T23:59:59.000Z

140

Detroit Public Lighting Department - Residential Energy Wise...  

Open Energy Info (EERE)

Multi-Family Residential, Residential Eligible Technologies Ceiling Fan, Lighting, LED Lighting Active Incentive Yes Implementing Sector Utility Energy Category Energy...

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


141

Village of Fairmont, Nebraska (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Fairmont Village of Fairmont Village of Place Nebraska Utility Id 6136 Utility Location Yes Ownership M NERC Location MRO NERC RFC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Service Commercial Commercial Service Large Use- Demand Commercial Commercial Service Large Use- Non Demand Commercial Residential All Electric Residential Residential Service Residential Average Rates Residential: $0.0972/kWh Commercial: $0.0932/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Fairmont,_Nebraska_(Utility_Company)&oldid=411988"

142

Village of Montpelier, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Village of Village of Place Ohio Utility Id 12861 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes ISO MISO Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Residential -Inside corporation limits Residential Residential-Outside corporation limits Residential Average Rates Residential: $0.1120/kWh Commercial: $0.0936/kWh Industrial: $0.0947/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Montpelier,_Ohio_(Utility_Company)&oldid=412038

143

Village of Greenwich, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Ohio (Utility Company) Ohio (Utility Company) Jump to: navigation, search Name Village of Greenwich Place Ohio Utility Id 7643 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Combined Single Phase and/or Three Phase Five H.P. of Connected Loads Commercial Residential- Single Phase Residential Residential- Single Phase- Outside Village Residential Small Commercial Commercial Small Commercial Three-Wire Service- Outside Village Commercial Small Industrial Industrial Average Rates Residential: $0.0913/kWh

144

Village of Union City, Michigan (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Village of Union City Village of Union City Place Michigan Utility Id 19432 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes Operates Generating Plant Yes Activity Generation Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Commercial Demand Commercial Industrial Industrial Residential Electric Heating Service Residential Residential Service Residential Average Rates Residential: $0.1200/kWh Commercial: $0.1270/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Union_City,_Michigan_(Utility_Company)&oldid=412111

145

Application analysis of solar total energy systems to the residential sector. Volume IV, market penetration. Final report  

DOE Green Energy (OSTI)

This volume first describes the residential consumption of energy in each of the 11 STES regions by fuel type and end-use category. The current and projected costs and availability of fossil fuels and electricity for the STES regions are reported. Projections are made concerning residential building construction and the potential market for residential STES. The effects of STES ownership options, institutional constraints, and possible government actions on market penetration potential were considered. Capital costs for two types of STES were determined, those based on organic Rankine cycle (ORC) heat engines and those based on flat plate, water-cooled photovoltaic arrays. Both types of systems utilized parabolic trough collectors. The capital cost differential between conventional and STE systems was calculated on an incremental cost per dwelling unit for comparison with projected fuel savings in the market penetration analysis. The market penetration analysis was planned in two phases, a preliminary analysis of each of the geographical regions for each of the STE systems considered; and a final, more precise analysis of those regions and systems showing promise of significant market penetration. However, the preliminary analysis revealed no geographical regions in which any of the STES considered promised to be competitive with conventional energy systems using utility services at the prices projected for future energy supplies in the residential market. Because no promising situations were found, the analysis was directed toward an examination of the parameters involved in an effort to identify those factors which make a residential STES less attractive than similar systems in the commercial and industrial areas. Results are reported. (WHK)

Not Available

1979-07-01T23:59:59.000Z

146

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

Science Conference Proceedings (OSTI)

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

Not Available

1994-10-01T23:59:59.000Z

147

Tucson Solar Village: Project management  

DOE Green Energy (OSTI)

The Tucson Solar Village is a Design/Build Project In Sustainable Community Development which responds to a broad spectrum of energy, environmental, and economic challenges. This project is designed for 820 acres of undeveloped State Trust Land within the Tucson city limits; residential population will be five to six thousand persons with internal employment provided for 1200. This is a 15 year project (for complete buildout and sales) with an estimated cost of $500 million. Details of the project are addressed with emphasis on the process and comments on its transferability.

Not Available

1991-11-01T23:59:59.000Z

148

Animal Farm Powers Village | Open Energy Information  

Open Energy Info (EERE)

Animal Farm Powers Village Animal Farm Powers Village Jump to: navigation, search Name Animal Farm Powers Village Agency/Company /Organization M2 Presswire Sector Energy Focus Area Agriculture, Energy Efficiency - Central Plant, Economic Development, Renewable Energy, Biomass - Anaerobic Digestion, Biomass, Biomass - Waste To Energy Phase Develop Finance and Implement Projects Resource Type Case studies/examples Availability Publicly available; free Publication Date 4/18/2011 Website http://news.tradingcharts.com/ Locality Hatherop, England References Animal Farm Powers Village[1] Contents 1 Overview 2 Highlights 3 Environmental Aspects 4 Related Tools 5 References Overview This press release describes a project completed in Hatherop, a small English village. The project is a combined heat and power (CHP) plant

149

Village of De Witt, Nebraska (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Witt, Nebraska (Utility Company) Witt, Nebraska (Utility Company) Jump to: navigation, search Name Village of De Witt Place Nebraska Utility Id 4934 Utility Location Yes Ownership M NERC Location MRO NERC MRO Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Electric Commercial Industrial #2 Industrial Irrigation Commercial Large Industrial #1 Industrial Residential Residential Residential- All Electric Residential Rural Residential Residential Rural Residential Electric Residential Average Rates Residential: $0.0810/kWh Commercial: $0.1020/kWh Industrial: $0.0264/kWh

150

North Arkansas Electric Cooperative, Inc - Residential Energy...  

Open Energy Info (EERE)

Sector Residential Eligible Technologies Doors, DuctAir sealing, Heat pumps, Windows Active Incentive Yes Implementing Sector Utility Energy Category Energy Efficiency...

151

Clark Public Utilities - Residential Weatherization Loan Program...  

Open Energy Info (EERE)

Sector Residential Eligible Technologies Building Insulation, DuctAir sealing, Windows Active Incentive Yes Implementing Sector Utility Energy Category Energy Efficiency...

152

Residential and Transport Energy Use in India: Past Trend and Future Outlook  

E-Print Network (OSTI)

16 Figure 10. Residential Primary Energy Use in 2000 and3. Fuel Consumption in the Residential Sector in 2005 in10 Table 6. Residential Activity

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

153

Village of Trempealeau, Wisconsin (Utility Company) | Open Energy  

Open Energy Info (EERE)

Trempealeau, Wisconsin (Utility Company) Trempealeau, Wisconsin (Utility Company) Jump to: navigation, search Name Village of Trempealeau Place Wisconsin Utility Id 19114 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Residential Single Phase Residential Residential Three Phase Residential Average Rates Residential: $0.1110/kWh Commercial: $0.1120/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Trempealeau,_Wisconsin_(Utility_Company)&oldid=412109

154

Village of Jacksonville, Vermont (Utility Company) | Open Energy  

Open Energy Info (EERE)

Village of Village of Place Vermont Service Territory Vermont Green Button Reference Page www.efficiencyvermont.com Green Button Committed Yes Utility Id 9610 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes ISO NE Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Commercial Industrial Industrial Municipal LED Streetlights Lighting Municipal Street Lights 175 watt Lighting Residential Residential Residential LED Security Light Lighting Residential Security Light 175 watt Lighting Average Rates Residential: $0.1690/kWh

155

Village of Cascade | Open Energy Information  

Open Energy Info (EERE)

Cascade Cascade Jump to: navigation, search Name Village of Cascade Facility Village of Cascade Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Village of Cascade Energy Purchaser Village of Cascade Location Cascade WI Coordinates 43.65868218°, -87.99709797° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.65868218,"lon":-87.99709797,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

156

Pedro Bay Village Council (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Pedro Bay Village Council (Utility Company) Pedro Bay Village Council (Utility Company) Jump to: navigation, search Name Pedro Bay Village Council Place Alaska Utility Id 14633 Utility Location Yes Ownership M NERC Location AK Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service Residential School Commercial Average Rates Residential: $0.9080/kWh Commercial: $0.8510/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Pedro_Bay_Village_Council_(Utility_Company)&oldid=411345

157

Application analysis of solar total energy systems to the residential sector. Volume III, conceptual design. Final report  

DOE Green Energy (OSTI)

The objective of the work described in this volume was to conceptualize suitable designs for solar total energy systems for the following residential market segments: single-family detached homes, single-family attached units (townhouses), low-rise apartments, and high-rise apartments. Conceptual designs for the total energy systems are based on parabolic trough collectors in conjunction with a 100 kWe organic Rankine cycle heat engine or a flat-plate, water-cooled photovoltaic array. The ORC-based systems are designed to operate as either independent (stand alone) systems that burn fossil fuel for backup electricity or as systems that purchase electricity from a utility grid for electrical backup. The ORC designs are classified as (1) a high temperature system designed to operate at 600/sup 0/F and (2) a low temperature system designed to operate at 300/sup 0/F. The 600/sup 0/F ORC system that purchases grid electricity as backup utilizes the thermal tracking principle and the 300/sup 0/F ORC system tracks the combined thermal and electrical loads. Reject heat from the condenser supplies thermal energy for heating and cooling. All of the ORC systems utilize fossil fuel boilers to supply backup thermal energy to both the primary (electrical generating) cycle and the secondary (thermal) cycle. Space heating is supplied by a central hot water (hydronic) system and a central absorption chiller supplies the space cooling loads. A central hot water system supplies domestic hot water. The photovoltaic system uses a central electrical vapor compression air conditioning system for space cooling, with space heating and domestic hot water provided by reject heat from the water-cooled array. All of the systems incorporate low temperature thermal storage (based on water as the storage medium) and lead--acid battery storage for electricity; in addition, the 600/sup 0/F ORC system uses a therminol-rock high temperature storage for the primary cycle. (WHK)

Not Available

1979-07-01T23:59:59.000Z

158

Village of Edgerton, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Edgerton Village of Edgerton Village of Place Ohio Utility Id 5653 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes ISO MISO Yes Activity Buying Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service- Single Phase Commercial General Service- Three Phase Commercial Large Power Industrial Residential Residential Average Rates Residential: $0.1040/kWh Commercial: $0.1130/kWh Industrial: $0.1030/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Edgerton,_Ohio_(Utility_Company)&oldid=41198

159

Toward a National Plan for the Accelerated Commercialization of Solar Energy: residential/commercial buildings market sector workbook  

Science Conference Proceedings (OSTI)

This workbook contains preliminary data and assumptions used during the preparation of inputs to a National Plan for the Accelerated Commercialization of Solar Energy (NPAC). The workbook indicates the market potential, competitive position, market penetration, and technological characteristics of solar technologies for this market sector over the next twenty years. The workbook also presents projections of the mix of solar technologies by US Census Regions. In some cases, data have been aggregated to the national level. Emphasis of the workbook is on a mid-price fuel scenario, Option II, that meets about a 20% solar goal by the year 2000. The energy demand for the mid-price scenario is projected at 115 quads in the year 2000. The workbook, prepared in April 1979, represents government policies and programs anticipated at that time.

Taul, Jr., J. W.; de Jong, D. L.

1980-01-01T23:59:59.000Z

160

Village of Hildreth, Nebraska (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Hildreth, Nebraska (Utility Company) Hildreth, Nebraska (Utility Company) Jump to: navigation, search Name Village of Hildreth Place Nebraska Utility Id 10573 Utility Location Yes Ownership M NERC Location MRO Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png All Electric Homes Services - Single Phase Residential All Electric Homes Services - Three Phase Residential Electric Heat Homes Service Residential Electric Motors Residential Residential Rate Residential Average Rates Residential: $0.0379/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a"

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


161

Black Hills Power - Residential Customer Rebate Program (South...  

Open Energy Info (EERE)

Program Applicable Sector Multi-Family Residential, Residential Eligible Technologies Energy Mgmt. SystemsBuilding Controls, Heat pumps, Water Heaters, Geothermal Heat Pumps,...

162

Black Hills Power - Residential Customer Rebate Program (Wyoming...  

Open Energy Info (EERE)

Program Applicable Sector Multi-Family Residential, Residential Eligible Technologies Energy Mgmt. SystemsBuilding Controls, Heat pumps, Water Heaters, Geothermal Heat Pumps,...

163

About Residential | Department of Energy  

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

Residential Buildings » About Residential Residential Buildings » About Residential About Residential The Building Technologies Office (BTO) collaborates with home builders, energy professionals, state and local governments, utilities, product manufacturers, educators, and researchers to improve the energy efficiency of both new and existing homes. Residential Sector Activities Include: Demonstrating to builders and remodelers how to build and renovate for high performance through best practice guides and case studies and continuing to developing innovative whole-house energy efficiency solutions through Building America research projects. We also provide guidelines and tools for researchers conducting building related research projects. Promoting a trusted, whole-house process for upgrading existing homes with

164

U.S. Propane Demand Sectors (1996)  

U.S. Energy Information Administration (EIA)

The residential and commercial sector and the chemical sector are the largest end users of propane in the U.S., accounting for 34% and 41% ...

165

Residential and Commercial Buildings Sector  

U.S. Energy Information Administration (EIA)

Also assume that the fan, both before and after project implementa-tion, was rated at 3 thousand cubic feet per minute (MCFM). The estimation was completed as follows:

166

Village Power `97. Proceedings  

SciTech Connect

It is estimated that two billion people live without electricity and its services. In addition, there is a sizable number of rural villages that have limited electrical service, with either part-day operation by diesel gen-sets or partial electrification (local school or community center and several nearby houses). For many villages connected to the grid, power is often sporadically available and of poor quality. The U.S. National Renewable Energy Laboratory (NREL) in Golden, Colorado, has initiated a program to address these potential electricity opportunities in rural villages through the application of renewable energy (RE) technologies. The objective of this program is to develop and implement applications that demonstrate the technical performance, economic competitiveness, operational viability, and environmental benefits of renewable rural electric solutions, compared to the conventional options of line extension and isolated diesel mini-grids. These four attributes foster sustainability; therefore, the program is entitled Renewables for Sustainable Village Power (RSVP). The RSVP program is a multi-disciplinary, multi-technology, multi-application program composed of six key activities, including village application development, computer model development, systems analysis, pilot project development, technical assistance, and an Internet-based village power project database. The current program emphasizes wind, photovoltaics (PV), and their hybrids with diesel gen-sets. NREL`s RSVP team is currently involved in rural electricity projects in thirteen countries, with U.S., foreign, and internationally based agencies and institutions. This document contains reports presented at the Proceedings of Village Power, 1997. Individual projects have been processed separately for the United States Department of Energy databases.

Cardinal, J.; Flowers, L.; Taylor, R.; Weingart, J. [eds.

1997-09-01T23:59:59.000Z

167

Residential Energy Efficiency Workshop - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Notes on the Energy Information Administration's summary session on Residential Sector Energy-Efficiency Workshop on February 13, 1996

168

Birch Creek Village Elec Util | Open Energy Information  

Open Energy Info (EERE)

Birch Creek Village Elec Util Birch Creek Village Elec Util Jump to: navigation, search Name Birch Creek Village Elec Util Place Alaska Utility Id 1747 Utility Location Yes Ownership M NERC Location AK Operates Generating Plant Yes Activity Generation Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates Residential: $0.6070/kWh Commercial: $0.6150/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Birch_Creek_Village_Elec_Util&oldid=409048" Categories:

169

Kokhanok Village Council (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Kokhanok Village Council (Utility Company) Kokhanok Village Council (Utility Company) Jump to: navigation, search Name Kokhanok Village Council Place Alaska Utility Id 10455 Utility Location Yes Ownership P NERC Location AK NERC WECC Yes Operates Generating Plant Yes Activity Generation Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates Residential: $0.8990/kWh Commercial: $0.9040/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Kokhanok_Village_Council_(Utility_Company)&oldid=41095

170

Native Village of Perryville, Alaska (Utility Company) | Open Energy  

Open Energy Info (EERE)

Perryville, Alaska (Utility Company) Perryville, Alaska (Utility Company) Jump to: navigation, search Name Native Village of Perryville Place Alaska Utility Id 14832 Utility Location Yes Ownership M NERC Location AK Operates Generating Plant Yes Activity Generation Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Rate Commercial Community Facilities Rate Residential Residential Average Rates Residential: $0.7620/kWh Commercial: $0.7660/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Native_Village_of_Perryville,_Alaska_(Utility_Company)&oldid=412328"

171

Village of Groton, New York (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

New York (Utility Company) New York (Utility Company) Jump to: navigation, search Name Village of Groton Place New York Utility Id 7713 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Demand Metered Commercial General-Non Demand Metered Commercial Private Outdoor Lighting Commercial Residential Residential Average Rates Residential: $0.0526/kWh Commercial: $0.0638/kWh Industrial: $0.0546/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Groton,_New_York_(Utility_Company)&oldid=41200

172

Village of Brainard, Nebraska (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Brainard, Nebraska (Utility Company) Brainard, Nebraska (Utility Company) Jump to: navigation, search Name Village of Brainard Place Nebraska Utility Id 2120 Utility Location Yes Ownership M NERC Location MRO Activity Retail Marketing Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Commercial Large Demand Rate Commercial Residential Residential Average Rates Residential: $0.0822/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Brainard,_Nebraska_(Utility_Company)&oldid=411959

173

Village of Polk, Nebraska (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Polk, Nebraska (Utility Company) Polk, Nebraska (Utility Company) Jump to: navigation, search Name Village of Polk Place Nebraska Utility Id 15346 Utility Location Yes Ownership M NERC Location MRO NERC MRO Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Commercial Residential Residential Average Rates Residential: $0.1080/kWh Commercial: $0.0997/kWh Industrial: $0.1060/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Polk,_Nebraska_(Utility_Company)&oldid=412060

174

Village of Republic, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Ohio (Utility Company) Ohio (Utility Company) Jump to: navigation, search Name Village of Republic Place Ohio Utility Id 15865 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes RTO PJM Yes Activity Buying Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Commercial Residential Residential Three Phase Commercial Average Rates Residential: $0.1250/kWh Commercial: $0.1350/kWh Industrial: $0.1910/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Republic,_Ohio_(Utility_Company)&oldid=412064

175

Village of Grafton, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Village of Village of Place Ohio Utility Id 7445 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes ISO MISO Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service Rate- Single Phase Commercial General Service Rate- Three Phase Commercial Large Power Service- Primary Service Industrial Large Power Service- Secondary Service Industrial Private Outdoor Lighting Service- Mercury/High Pressure Sodium Lighting Residential Rate Residential Average Rates Residential: $0.1100/kWh Commercial: $0.1180/kWh Industrial: $0.0906/kWh References

176

New Hampton Village Precinct (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Precinct (Utility Company) Precinct (Utility Company) Jump to: navigation, search Name New Hampton Village Precinct Place New Hampshire Utility Id 13286 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Commercial Residential Residential Average Rates Residential: $0.1350/kWh Commercial: $0.1380/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=New_Hampton_Village_Precinct_(Utility_Company)&oldid=411170

177

Village of Cygnet, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Cygnet, Ohio (Utility Company) Cygnet, Ohio (Utility Company) Jump to: navigation, search Name Village of Cygnet Place Ohio Utility Id 4685 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes RTO PJM Yes Activity Buying Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service Commercial Large Power Industrial Residential Residential Average Rates Residential: $0.1050/kWh Commercial: $0.1080/kWh Industrial: $0.1890/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Cygnet,_Ohio_(Utility_Company)&oldid=411974

178

Village of Orleans, Vermont (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Orleans Village of Orleans Village of Place Vermont Service Territory Vermont Green Button Reference Page www.efficiencyvermont.com Green Button Committed Yes Utility Id 14261 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes ISO NE Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Commercial Industrial Industrial Municipal Service Commercial Residential Residential Average Rates Residential: $0.1230/kWh Commercial: $0.1350/kWh Industrial: $0.1460/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a"

179

Village of Lakeview, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Lakeview, Ohio (Utility Company) Lakeview, Ohio (Utility Company) Jump to: navigation, search Name Village of Lakeview Place Ohio Utility Id 10616 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Commercial Residential Residential Average Rates Residential: $0.1070/kWh Commercial: $0.1050/kWh Industrial: $0.0901/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Lakeview,_Ohio_(Utility_Company)&oldid=412022

180

Village of Solvay, New York (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Solvay, New York (Utility Company) Solvay, New York (Utility Company) Jump to: navigation, search Name Village of Solvay Place New York Utility Id 17512 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes Activity Wholesale Marketing Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Commercial Residential Residential Average Rates Residential: $0.0469/kWh Commercial: $0.0427/kWh Industrial: $0.0352/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Solvay,_New_York_(Utility_Company)&oldid=4120

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


181

Village of Johnson, Vermont (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Johnson Village of Johnson Village of Place Vermont Service Territory Vermont Website www.townofjohnson.com/Gov Green Button Reference Page www.efficiencyvermont.com Green Button Committed Yes Utility Id 9806 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes ISO NE Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Johnson State College Commercial Standard Large Commercial Commercial Standard Public Authority Commercial Standard Residential Residential Standard Small Commercial Commercial Standard Street Light Lighting Average Rates Residential: $0.1610/kWh

182

Village of Wilcox, Nebraska (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Wilcox, Nebraska (Utility Company) Wilcox, Nebraska (Utility Company) Jump to: navigation, search Name Village of Wilcox Place Nebraska Utility Id 20641 Utility Location Yes Ownership M NERC Location MRO Activity Wholesale Marketing Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial- Large Commercial Commercial Commercial- Small Electric Users Commercial Demand Metered Commercial Residential- Electric Only Residential Residential-Gas Heat Residential Average Rates Residential: $0.0716/kWh Commercial: $0.0988/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a"

183

Village of Boonville, New York (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Boonville, New York (Utility Company) Boonville, New York (Utility Company) Jump to: navigation, search Name Village of Boonville Place New York Utility Id 1970 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes ISO NY Yes Activity Buying Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Commercial Large Residential and Agricultural Service SC-1A Residential Power Commercial Power(Transformer Ownership) Commercial Residential Residential Average Rates Residential: $0.0425/kWh Commercial: $0.0573/kWh Industrial: $0.0451/kWh References

184

Village of Bethany, Illinois (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Bethany Bethany Place Illinois Utility Id 1648 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial with demand greater than 50 KW Commercial Commercial, with demand less than or equal to 50 KW Commercial Residential Residential Residential Heating Residential Average Rates Residential: $0.0906/kWh Commercial: $0.0904/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Bethany,_Illinois_(Utility_Company)&oldid=41195

185

Village of Bradner, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Ohio (Utility Company) Ohio (Utility Company) Jump to: navigation, search Name Bradner Village of Place Ohio Utility Id 2128 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes ISO MISO Yes Activity Buying Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Large Power Commercial Non-Residential Single phase(General Service) Commercial Non-Residential Three phase(General Service) Commercial Residential Residential Average Rates Residential: $0.1030/kWh Commercial: $0.1290/kWh Industrial: $0.1290/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a"

186

Village of Ohio City, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Ohio (Utility Company) Ohio (Utility Company) Jump to: navigation, search Name Village of Ohio City Place Ohio Utility Id 13997 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Rate Commercial Commercial Rate- Outside Corporation Commercial Industrial Three Phase Industrial Industrial Three Phase- Outside Corporation Industrial Private Area Security Lighting- (150W HPS) Lighting Residential Rate(Inside Corp.) Residential Residential Rate- Outside Corporation Residential Average Rates Residential: $0.0969/kWh

187

Chelan County PUD - Residential Weatherization Rebate Program...  

Open Energy Info (EERE)

Residential Eligible Technologies Building Insulation, Doors, DuctAir sealing, Windows Active Incentive Yes Implementing Sector Utility Energy Category Energy Efficiency...

188

Residential Performance  

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

Residential Performance: guidelines, analysis and measurements of window and skylight performance Windows in residential buildings consume approximately 2% of all the energy used...

189

Berkning av koldioxidutslppet frn bostadssektorn i Stockholms ln; Estimation of Carbon Dioxide Emissions from the Residential Building Sector in the county of Stockholm.  

E-Print Network (OSTI)

?? During the last decades the housing sector has increased continuously, and housings and services accounted for 40 % of the energy usage in Sweden (more)

Chen, Guojing

2013-01-01T23:59:59.000Z

190

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 Pacific Northwest Residential Energy Survey (PNWRES92)Survey (PNWRES92) NEEA Survey of Baseline

191

Village of Winnetka, Illinois (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Winnetka, Illinois (Utility Company) Winnetka, Illinois (Utility Company) Jump to: navigation, search Name Winnetka Village of Place Illinois Utility Id 20824 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes RTO PJM Yes Operates Generating Plant Yes Activity Generation Yes Activity Distribution Yes Activity Bundled Services Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Rate 1- Residential: Single Phase Residential Rate 1- Residential: Three Phase Residential Rate 18- Street Lights Lighting Rate 2- Space Heating Customers: Single Phase

192

Village of Arcadia, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Ohio (Utility Company) Ohio (Utility Company) Jump to: navigation, search Name Village of Arcadia Place Ohio Utility Id 282 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Lighting Service Rate(150 Watt HPS) Commercial Rate Code 1(Non-Residential Service Schedule)-Single Phase Commercial Rate Code 2 (Non-Residential Service Schedule)-Three Phase Commercial Rate Code 3 (Non-Residential Service Schedule) Commercial Rate Code 4 (Non-Residential Service Schedule) Commercial Rate Code 5 (Large Power Rate (LP)) Commercial

193

Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

194

Residential | Open Energy Information  

Open Energy Info (EERE)

Residential Residential Jump to: navigation, search Click to return to AEO2011 page AEO2011 Data From AEO2011 report . Market Trends In the AEO2011 Reference case, residential energy use per capita declines by 17.0 percent from 2009 to 2035 (Figure 58). Delivered energy use stays relatively constant while population grows by 26.7 percent during the period. Growth in the number of homes and in average square footage leads to increased demand for energy services, which is offset in part by efficiency gains in space heating, water heating, and lighting equipment. Population shifts to warmer and drier climates also reduce energy demand for space heating.[1] Issues in Focus In 2009, the residential and commercial buildings sectors used 19.6 quadrillion Btu of delivered energy, or 21 percent of total U.S. energy

195

Geothermal Energy Market Study on the Atlantic Coastal Plain. Geothermal Energy Market penetration: development of a model for the residential sector  

SciTech Connect

A model has been developed that examines the feasibility of using geothermal technology in heating residential structures. Specific account is taken of the small contribution of new housing to the total stock in any given year and of the durability of houses and their furnaces. Both aspects constrain the penetration of geothermal energy into the residential market. After a discussion of other market penetration paradigms, a simple model of market penetration is developed that is based on the premise that homeowners will not abandon an existing furnace until its economic life is over. Next, behavioral parameters are discussed and the model is extended from 20 to 40 years. Finally, methods are discussed for collecting the needed data to determine market penetration, and ideas are proposed of ways to induce homeowners to give up economically viable furnaces to allow the firm providing the energy to reduce costs.

Goodman, A.C.

1979-09-01T23:59:59.000Z

196

Village of Endicott, New York (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Village of Endicott Village of Endicott Place New York Utility Id 5875 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes ISO NY Yes Activity Distribution Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial, Professional and Small Power Installs Commercial Large Power and Light Installations Commercial Residential and Religious Customers Residential Security Lighting (100 Watt Glow) Lighting Security Lighting (175 Watt Mercury Vapor) Commercial Security Lighting (400 Watt Mercury Vapor) Commercial Security Lighting (400 Watt Sodium) Commercial

197

Exploiting renewable energy resources for residential applications in coastal areas  

Science Conference Proceedings (OSTI)

The electricity needs of a township or village situated in a coastal area can be satisfied partially by installing proposed residential electricity generating unit and solar heat extractor in houses. The rest of the electricity demands of the residential ... Keywords: PV panel, renewable energy, solar heater, solar tracker, wind mill

A. Cellatoglu; K. Balasubramanian

2010-02-01T23:59:59.000Z

198

Village Power '98  

DOE Green Energy (OSTI)

This is the fifth Village Power workshop sponsored by NREL. We have held these meetings every year since 1993, to focus, challenge, and provide a forum for interaction among practitioners working in the field of using renewable energy technologies as an economically viable pathway to electrification of rural populations throughout the world. Starting with a small group of 30 colleagues in 1993, this ''workshop'' has doubled in size every year. When the NREL staff was planning for this meeting, they were hoping for something around 400 participants. We are now looking at over 500, and we apologize for the somewhat cramped accommodations. This overwhelming response, however, shows that the use of renewable energy to solve some of the world's serious problems is coming of age. This meeting, this ''conference'' (it's clearly no longer a workshop) marks a transition. A transition from the viewpoint that renewables are, and forever will be a technology of the future; to the reality that renewables have come of age. We have technologies available today, at today's prices, that can make a substantive contribution to the pressing needs of environmentally sustainable development in the world. This is a collection of all the papers presented at the Village Power '98 conference.

Cardinal, Julie; Flowers, Larry; Siegel, Judy; Taylor, Roger; Weingart, Jerome

1999-03-24T23:59:59.000Z

199

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

E-Print Network (OSTI)

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

Komiyama, Ryoichi

2008-01-01T23:59:59.000Z

200

Energy Perspectives: Industrial and transportation sectors ...  

U.S. Energy Information Administration (EIA)

Since 2008, energy use in the transportation, residential, and commercial sectors stayed relatively constant or fell slightly. Industrial consumption grew in 2010 and ...

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


201

Future Air Conditioning Energy Consumption in Developing Countriesand what can be done about it: The Potential of Efficiency in theResidential Sector  

SciTech Connect

The dynamics of air conditioning are of particular interestto energy analysts, both because of the high energy consumption of thisproduct, but also its disproportionate impact on peak load. This paperaddresses the special role of this end use as a driver of residentialelectricity consumption in rapidly developing economies. Recent historyhas shown that air conditioner ownership can grow grows more rapidly thaneconomic growth in warm-climate countries. In 1990, less than a percentof urban Chinese households owned an air conditioner; by 2003 this numberrose to 62 percent. The evidence suggests a similar explosion of airconditioner use in many other countries is not far behind. Room airconditioner purchases in India are currently growing at 20 percent peryear, with about half of these purchases attributed to the residentialsector. This paper draws on two distinct methodological elements toassess future residential air conditioner 'business as usual' electricityconsumption by country/region and to consider specific alternative 'highefficiency' scenarios. The first component is an econometric ownershipand use model based on household income, climate and demographicparameters. The second combines ownership forecasts and stock accountingwith geographically specific efficiency scenarios within a uniqueanalysis framework (BUENAS) developed by LBNL. The efficiency scenariomodule considers current efficiency baselines, available technologies,and achievable timelines for development of market transformationprograms, such as minimum efficiency performance standards (MEPS) andlabeling programs. The result is a detailed set of consumption andemissions scenarios for residential air conditioning.

McNeil, Michael A.; Letschert, Virginie E.

2007-05-01T23:59:59.000Z

202

Future Air Conditioning Energy Consumption in Developing Countriesand what can be done about it: The Potential of Efficiency in theResidential Sector  

SciTech Connect

The dynamics of air conditioning are of particular interestto energy analysts, both because of the high energy consumption of thisproduct, but also its disproportionate impact on peak load. This paperaddresses the special role of this end use as a driver of residentialelectricity consumption in rapidly developing economies. Recent historyhas shown that air conditioner ownership can grow grows more rapidly thaneconomic growth in warm-climate countries. In 1990, less than a percentof urban Chinese households owned an air conditioner; by 2003 this numberrose to 62 percent. The evidence suggests a similar explosion of airconditioner use in many other countries is not far behind. Room airconditioner purchases in India are currently growing at 20 percent peryear, with about half of these purchases attributed to the residentialsector. This paper draws on two distinct methodological elements toassess future residential air conditioner 'business as usual' electricityconsumption by country/region and to consider specific alternative 'highefficiency' scenarios. The first component is an econometric ownershipand use model based on household income, climate and demographicparameters. The second combines ownership forecasts and stock accountingwith geographically specific efficiency scenarios within a uniqueanalysis framework (BUENAS) developed by LBNL. The efficiency scenariomodule considers current efficiency baselines, available technologies,and achievable timelines for development of market transformationprograms, such as minimum efficiency performance standards (MEPS) andlabeling programs. The result is a detailed set of consumption andemissions scenarios for residential air conditioning.

McNeil, Michael A.; Letschert, Virginie E.

2007-05-01T23:59:59.000Z

203

Residential Buildings  

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

Residential Residential Residential Buildings Residential buildings-such as single family homes, townhomes, condominiums, and apartment buildings-are all covered by the Residential Energy Consumption Survey (RECS). See the RECS home page for further information. However, buildings that offer multiple accomodations such as hotels, motels, inns, dormitories, fraternities, sororities, convents, monasteries, and nursing homes, residential care facilities are considered commercial buildings and are categorized in the CBECS as lodging. Specific questions may be directed to: Joelle Michaels joelle.michaels@eia.doe.gov CBECS Manager Release date: January 21, 2003 Page last modified: May 5, 2009 10:18 AM http://www.eia.gov/consumption/commercial/data/archive/cbecs/pba99/residential.html

204

Electricity Markets and Policy Group Energy Analysis Department Financing Non-Residential  

E-Print Network (OSTI)

Electricity Markets and Policy Group · Energy Analysis Department 1 Financing Non-Residential Introduction · Growth in the non-residential PV sector has outpaced that of the residential PV sector in recent years: by one estimate, US non-residential PV capacity has grown from less than half of aggregate annual

205

Alaska Village Cooperative Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Alaska Village Cooperative Wind Farm Alaska Village Cooperative Wind Farm Jump to: navigation, search Name Alaska Village Cooperative Wind Farm Facility Alaska Village Cooperative Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Alaska Village Elec Coop Developer Kotzebue Electric Association Energy Purchaser Alaska Village Elec Coop Location Toksook Bay AK Coordinates 60.5315°, -165.109° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":60.5315,"lon":-165.109,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

206

Village of Brocton, New York (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Brocton, New York (Utility Company) Brocton, New York (Utility Company) Jump to: navigation, search Name Village of Brocton Place New York Utility Id 2272 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes Activity Transmission Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Industrial S.C.4 Commercial Large Commercial SC.3 Commercial Mercury Vapor Lite Lighting Residential SC.1 Residential Small Commercial SC.2 Commercial Average Rates Residential: $0.0435/kWh Commercial: $0.0466/kWh Industrial: $0.0388/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a"

207

Village of Georgetown, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Georgetown, Ohio (Utility Company) Georgetown, Ohio (Utility Company) Jump to: navigation, search Name Village of Georgetown Place Ohio Utility Id 7131 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes Activity Retail Marketing Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial- Primary Metering Commercial Commercial- Single Phase Commercial Commercial- Three Phase Commercial Residential Residential Security Lights- 100W High Pressure Sodium Lighting Security Lights- 175W Mercury Vapor Lighting Average Rates Residential: $0.0746/kWh Commercial: $0.0745/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a"

208

Village of Oak Harbor, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Oak Harbor Oak Harbor Place Ohio Utility Id 13932 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes ISO MISO Yes Activity Bundled Services Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service- Single Phase Commercial General Service- Three Phase Commercial Residential Service Residential Average Rates Residential: $0.1080/kWh Commercial: $0.1160/kWh Industrial: $0.0909/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Oak_Harbor,_Ohio_(Utility_Company)&oldid=41204

209

Village of Carey, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Carey, Ohio (Utility Company) Carey, Ohio (Utility Company) Jump to: navigation, search Name Village of Carey Place Ohio Utility Id 3008 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes Activity Distribution Yes Activity Retail Marketing Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Commercial Industrial Industrial Residential Residential Yard Light- Metered Lighting Yard Light- Non-metered Lighting Average Rates Residential: $0.0876/kWh Commercial: $0.0855/kWh Industrial: $0.0809/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a"

210

Village of Tupper Lake, New York (Utility Company) | Open Energy  

Open Energy Info (EERE)

Tupper Lake, New York (Utility Company) Tupper Lake, New York (Utility Company) Jump to: navigation, search Name Village of Tupper Lake Place New York Utility Id 19274 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes ISO NY Yes Activity Buying Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Large Commercial Rate 500 kW Max Commercial Large Commercial Rate Greater than 500 kW Commercial Residential Residential Small Commercial Commercial Average Rates Residential: $0.0378/kWh Commercial: $0.0464/kWh Industrial: $0.0388/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a"

211

Village of Monroeville, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Ohio (Utility Company) Ohio (Utility Company) Jump to: navigation, search Name Monroeville Village of Place Ohio Utility Id 12811 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes ISO MISO Yes Activity Buying Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service Commercial Large Power Industrial Residential Residential Security Lights- 100W Area HPS Lighting Security Lights- 150W Cobra HPS Lighting Security Lights- 400W Flood HPS Lighting Average Rates Residential: $0.1010/kWh Commercial: $0.1090/kWh Industrial: $0.0804/kWh

212

Village of Watkins Glen, New York (Utility Company) | Open Energy  

Open Energy Info (EERE)

Watkins Glen, New York (Utility Company) Watkins Glen, New York (Utility Company) Jump to: navigation, search Name Village of Watkins Glen Place New York Utility Id 20193 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes ISO NY Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Cargill Rates Commercial Commercial Rates Commercial Industrial Rates Industrial Residential Rates Residential Wal-Mart Rates Commercial Average Rates Residential: $0.0473/kWh Commercial: $0.0642/kWh Industrial: $0.0462/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a"

213

Village of Marathon, New York (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Marathon Marathon Place New York Utility Id 11618 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes Activity Distribution Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Large Commercial Commercial Residential Customer Residential Small Commercial Commercial Average Rates Residential: $0.0625/kWh Commercial: $0.0701/kWh Industrial: $0.0500/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Marathon,_New_York_(Utility_Company)&oldid=412030

214

Village of Rouses Point, New York (Utility Company) | Open Energy  

Open Energy Info (EERE)

Rouses Point, New York (Utility Company) Rouses Point, New York (Utility Company) Jump to: navigation, search Name Village of Rouses Point Place New York Utility Id 16325 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes ISO NY Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service , Non demand Metered Commercial General Service Demand Metered Industrial Large General Service Industrial Public Street Lighting Privately Owned Lighting Public Street Lighting Utility Owned Lighting Residential Residential Average Rates Residential: $0.0340/kWh Commercial: $0.0438/kWh

215

Village of Ludlow, Vermont (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Ludlow, Vermont (Utility Company) Ludlow, Vermont (Utility Company) Jump to: navigation, search Name Village of Ludlow Place Vermont Service Territory Vermont Website www.ludlow.vt.us/ Green Button Reference Page www.efficiencyvermont.com Green Button Committed Yes Utility Id 11305 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png 01 Residential Residential 05 Off Peak Water Heating Residential 06 General Service Single Phase 06 General Service Single Phase CT Metering

216

Village of Bethel, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Bethel Bethel Place Ohio Utility Id 1650 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial- Single Phase Commercial Commercial- Three Phase Commercial Large Power Industrial Residential Residential Average Rates Residential: $0.1110/kWh Commercial: $0.1100/kWh Industrial: $0.1000/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Bethel,_Ohio_(Utility_Company)&oldid=411952

217

Village of Yellow Springs, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Springs, Ohio (Utility Company) Springs, Ohio (Utility Company) Jump to: navigation, search Name Village of Yellow Springs Place Ohio Utility Id 21101 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes Activity Buying Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Lighting and Power Commercial-Industrial-Institutional Yard Lights- 250W Mercury Vapor Lighting Commercial-Industrial-Institutional Yard Lights- 400W Mercury Vapor Lighting Large Power Commercial Residential Residential Residential Yard Lights- 175W Mercury Vapor Lighting

218

Village of Bradshaw, Nebraska (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Bradshaw, Nebraska (Utility Company) Bradshaw, Nebraska (Utility Company) Jump to: navigation, search Name Village of Bradshaw Place Nebraska Utility Id 24791 Utility Location Yes Ownership M NERC Location MRO NERC NPCC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Farmer's Co-op Commercial General Service Commercial Large General Service Commercial Municipal Service Commercial Municipal Street Light Lighting Residential Residential Average Rates Residential: $0.0751/kWh Commercial: $0.0998/kWh Industrial: $0.1430/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a"

219

Village of Akron, New York (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

New York (Utility Company) New York (Utility Company) Jump to: navigation, search Name Village of Akron Place New York Utility Id 183 Utility Location Yes Ownership M NERC Location NPCC Activity Transmission Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Industrial Service Industrial Large Commercial Commercial Residential Service Residential Security Lighting-100w hps Lighting Security Lighting-150w hps Lighting Security Lighting-250w hps Lighting Security Lighting-400w hps Lighting Small Commercial Commercial Average Rates Residential: $0.0439/kWh Commercial: $0.0529/kWh Industrial: $0.0441/kWh

220

Village of Hyde Park, Vermont (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Hyde Park, Vermont (Utility Company) Hyde Park, Vermont (Utility Company) Jump to: navigation, search Name Hyde Park Village of Place Vermont Service Territory Vermont Website www.hydeparkvt.com/watera Green Button Reference Page www.efficiencyvermont.com Green Button Committed Yes Utility Id 9144 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes ISO NE Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png All Electric (AE) Residential General Service (GS) Commercial Large General Service Industrial Residential (RS) Residential Security Lights - Ded. Pole Lighting

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


221

Village of Eldorado, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Eldorado Eldorado Place Ohio Utility Id 5752 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes ISO MISO Yes Activity Buying Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial- Single Phase Commercial Commercial- Three Phase Commercial Residential Residential Average Rates Residential: $0.0879/kWh Commercial: $0.0995/kWh Industrial: $0.0922/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Eldorado,_Ohio_(Utility_Company)&oldid=411982

222

Village of Lucas, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Ohio Ohio Utility Id 11296 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Single Phase Service Commercial Commercial Three Phase Service Commercial Commercial/Seasonal Service Commercial Residential Metered Service Residential Average Rates Residential: $0.1130/kWh Commercial: $0.1330/kWh Industrial: $0.0787/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Lucas,_Ohio_(Utility_Company)&oldid=412026

223

Village of Green Island, New York (Utility Company) | Open Energy  

Open Energy Info (EERE)

Green Island Green Island Place New York Utility Id 7600 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes ISO NY Yes Operates Generating Plant Yes Activity Generation Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial -- Non-Demand Rate Commercial Commercial with Demand Rate Commercial Residential and Religious Rate Residential Average Rates Residential: $0.0999/kWh Commercial: $0.1000/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Green_Island,_New_York_(Utility_Company)&oldid=411997

224

Residential Buildings  

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

Apartment building exterior and interior Apartment building exterior and interior Residential Buildings EETD's research in residential buildings addresses problems associated with whole-building integration involving modeling, measurement, design, and operation. Areas of research include the movement of air and associated penalties involving distribution of pollutants, energy and fresh air. Contacts Max Sherman MHSherman@lbl.gov (510) 486-4022 Iain Walker ISWalker@lbl.gov (510) 486-4692 Links Residential Building Systems Group Batteries and Fuel Cells Buildings Energy Efficiency Applications Commercial Buildings Cool Roofs and Heat Islands Demand Response Energy Efficiency Program and Market Trends High Technology and Industrial Systems Lighting Systems Residential Buildings Simulation Tools Sustainable Federal Operations

225

Regional Residential  

Gasoline and Diesel Fuel Update (EIA)

upward pressure from crude oil markets, magnified by a regional shortfall of heating oil supplies, residential prices rose rapidly to peak February 7. The problem was...

226

Alaska Village Electric Load Calculator  

DOE Green Energy (OSTI)

As part of designing a village electric power system, the present and future electric loads must be defined, including both seasonal and daily usage patterns. However, in many cases, detailed electric load information is not readily available. NREL developed the Alaska Village Electric Load Calculator to help estimate the electricity requirements in a village given basic information about the types of facilities located within the community. The purpose of this report is to explain how the load calculator was developed and to provide instructions on its use so that organizations can then use this model to calculate expected electrical energy usage.

Devine, M.; Baring-Gould, E. I.

2004-10-01T23:59:59.000Z

227

Global Village Energy Partnership (GVEP) Feed | Open Energy Information  

Open Energy Info (EERE)

Global Village Energy Partnership (GVEP) Feed Global Village Energy Partnership (GVEP) Feed Jump to: navigation, search Home | About | Inventory | Partnerships | Capacity Building | Webinars | Reports | Events | News | List Serve CLEAN Member Feeds Center for Environment and National Security at Scripps Centro de Energías Renovables (CER) The Children's Investment Fund Foundation (CIFF) Climate and Development Knowledge Network (CDKN) Climate Technology Initiative (CTI) ClimateWorks Foundation Coalition for Rainforest Nations (CfRN) Ecofys Energy Research Centre of the Netherlands (ECN) Energy Sector Management Assistance Program of the World Bank (ESMAP) Environment and Development Action in the Third World (ENDA-TM) German Aerospace Center (DLR) German Agency for International Cooperation (GIZ) Global Village Energy Partnership (GVEP)

228

BUILDINGS SECTOR DEMAND-SIDE EFFICIENCY TECHNOLOGY SUMMARIES  

E-Print Network (OSTI)

: Small Commercial, Residential Author: Haider Taha VII. Solar Domestic Water Heaters........................................................................... 59 End-Use: Water Heating Sector: Residential Author: Jim Lutz VIII. Heat Pump Water Heaters ................................................................................. 63 End-Use: Water Heating Sector: Residential Author: Jim Lutz IX. Energy-Efficient Motors

229

Village of Prague, Nebraska (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Prague, Nebraska (Utility Company) Prague, Nebraska (Utility Company) Jump to: navigation, search Name Village of Prague Place Nebraska Utility Id 15352 Utility Location Yes Ownership M NERC Location MRO NERC MRO Yes Activity Buying Transmission Yes Activity Bundled Services Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates Residential: $0.0966/kWh Commercial: $0.0951/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Prague,_Nebraska_(Utility_Company)&oldid=412061

230

U.S. Residential Electricity Use Trends  

Science Conference Proceedings (OSTI)

This report summarizes electricity end use in the residential sector, with national level and regional level data. Load shapes for residential energy use are also provided, with focus on two example U.S. Census region divisions: East South Central and Mountain.

2008-08-29T23:59:59.000Z

231

The Path to Low Energy Residential Design  

Science Conference Proceedings (OSTI)

The Department of EnergyBuilding Technologies Program is divided between the commercial and residential sectors. Under the residential sector, two main areas exist - Home Performance with Energy Star, and the Building America program. The Building America program focuses on improving the efficiency of the approximately 1.5 million new homes built each year. These improvements are accomplished through research, development, demonstrations, and technology transfer of system-based strategies. These efforts...

2009-12-16T23:59:59.000Z

232

Village of Wellington, Ohio (Utility Company) | Open Energy Informatio...  

Open Energy Info (EERE)

Service Commercial General Service- Large Commercial Residential Service Residential Residential Service- Load Management Residential Average Rates Residential: 0.1090kWh...

233

Village of Freeport, New York (Utility Company) | Open Energy...  

Open Energy Info (EERE)

Utility Rate Schedules Grid-background.png Large Commercial Commercial Residential Non Heating Residential Residential Space Heating Residential Residential Space and Water...

234

State Residential Energy Consumption Shares  

Gasoline and Diesel Fuel Update (EIA)

This next slide shows what fuels are used in the residential market. When a This next slide shows what fuels are used in the residential market. When a energy supply event happens, particularly severe winter weather, it is this sector that the government becomes most concerned about. As you can see, natural gas is very important to the residential sector not only in DC, MD and VA but in the United States as well. DC residents use more natural gas for home heating than do MD and VA. While residents use heating oil in all three states, this fuel plays an important role in MD and VA. Note: kerosene is included in the distillate category because it is an important fuel to rural households in MD and VA. MD and VA rely more on electricity than DC. Both MD and VA use propane as well. While there are some similarities in this chart, it is interesting to note

235

Village of Fairport, New York (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Fairport, New York (Utility Company) Fairport, New York (Utility Company) Jump to: navigation, search Name Village of Fairport Place New York Utility Id 5930 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes ISO NY Yes Activity Distribution Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Industrial Industrial Industrial 4% Discount Industrial Industrial 5% Discount Industrial Large Commercial Commercial Large Commercial 4% Discount Commercial Large Commercial 5% Discount Commercial Public Street Lighting Lighting Residential Residential

236

Village of Frankfort, New York (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

New York (Utility Company) New York (Utility Company) Jump to: navigation, search Name Village of Frankfort Place New York Utility Id 6711 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Industrial (Over 5000 kwh & Over 200 kw) Industrial Large Commercial (Over 5000 kwh & Over 20 kw) Commercial Residential Service Residential Security Lighting (175 Watt) Lighting Security Lighting (250 Watt) Lighting Security Lighting (400 Watt) Lighting Small Commercial (Under 5000 Kwh) Commercial Street Lighting Commercial

237

Village of Ilion, New York (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Ilion, New York (Utility Company) Ilion, New York (Utility Company) Jump to: navigation, search Name Village of Ilion Place New York Utility Id 9200 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes ISO NY Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Large Commercial Primary Voltage Commercial Large Commercial Secondary Voltage Commercial Municipal Street Lighting Lighting Residential sc-1 Residential Security Lighting-100 W sodium Lighting Security Lighting-175 W mercury Lighting Security Lighting-250 W sodium Lighting Security Lighting-400 W mercury Lighting

238

Village of Paw Paw, Michigan (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Paw Paw, Michigan (Utility Company) Paw Paw, Michigan (Utility Company) Jump to: navigation, search Name Village of Paw Paw Place Michigan Utility Id 14581 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service Single Phase "Rate GS-1" Commercial General Service Three Phase "Rate GS-3" Commercial Large Power "Rate LP" Commercial Large Power "Rate LP" Industrial Residential Service "Rate R" Residential Security Lighting: 150W bulb Lighting Security Lighting: 175W bulb Lighting

239

Village of Holley, New York (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Holley, New York (Utility Company) Holley, New York (Utility Company) Jump to: navigation, search Name Village of Holley Place New York Utility Id 8733 Utility Location Yes Ownership M NERC Location NPCC ISO NY Yes Activity Buying Transmission Yes Activity Distribution Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Electric Rates Commercial Demand Electric Rates Commercial Residential Electric Rates Residential Security Light Electric Rates(100 Watts) Commercial Security Light Electric Rates(150 Watts) Commercial Security Light Electric Rates(175 Watts) Commercial

240

Village of Greene, New York (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Greene, New York (Utility Company) Greene, New York (Utility Company) Jump to: navigation, search Name Village of Greene Place New York Utility Id 7624 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Industrial-Service Class 5 Industrial Large Commercial-Service Class 3 Commercial Residential-Service Class 1 Residential Security Lights-Service Class 4 (175W MV-14000 Nominal Lumens) Commercial Security Lights-Service Class 4 (250W Lucalox-30000 Nominal Lumens) Commercial Security Lights-Service Class 4 (250W MV-20000 Nominal Lumens) Commercial

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


241

Village of Springville, New York (Utility Company) | Open Energy  

Open Energy Info (EERE)

York (Utility Company) York (Utility Company) Jump to: navigation, search Name Village of Springville Place New York Utility Id 17846 Utility Location Yes Ownership M NERC Location NPCC Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Industrial Industrial Large Commercial Commercial Residential Residential Security Lighting (150 Watt Metal Halide) Commercial Security Lighting (175 Watt Mercury Vapor Vertical Burning) Commercial Security Lighting (400 Watt Mercury Vapor Horizontal Burning Flood fixture with mounting bracket Commercial Security Lighting (400 Watt Mercury Vapor Horizontal Burning Luminare

242

Village of Bergen, New York (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Bergen, New York (Utility Company) Bergen, New York (Utility Company) Jump to: navigation, search Name Village of Bergen Place New York Utility Id 1604 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes ISO NY Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Large General Service Commercial Private Lighting Service- 1000W Mercury Lighting Private Lighting Service- 175W Mercury Lighting Private Lighting Service- 240W Mercury Lighting Private Lighting Service- 400W Mercury Lighting Residential Rate Residential Small General Service Commercial Average Rates

243

SMUD's Residential Summer Solutions Study  

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

SMUD's Residential Summer Solutions Study SMUD's Residential Summer Solutions Study Speaker(s): Karen Herter Date: August 26, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Janie Page In 2009, the DRRC and SMUD teamed up to test the use of dynamic pricing and communicating thermostats in the small commercial sector. The final results showed summer energy savings of 20%, event impacts of 14%, and bill savings of 25%. In 2011, the same team will conduct a similar study involving residential customers with interval meters. The study is designed to inform the transition to the Sacramento smart grid through experimentation with real-time energy use data and communicating thermostats, both with and without dynamic pricing. Three randomly chosen groups of residential customers were offered one of three equipment configuration treatments: (a)

244

Renewables for sustainable village power  

DOE Green Energy (OSTI)

It is estimated that two billion people live without electricity and its services. In addition, there is a sizeable number of rural villages that have limited electrical service, with either part-day operation by diesel gen-sets or partial electrification (local school or community center and several nearby houses). For many villages connected to the grid, power is often sporadically available and of poor quality. The U.S. National Renewable Energy Laboratory (NREL) in Golden, Colorado, has initiated a program to address these potential electricity opportunities in rural villages through the application of renewable energy (RE) technologies. The objective of this program is to develop and implement applications that demonstrate the technical performance, economic competitiveness, operational viability, and environmental benefits of renewable rural electric solutions, compared to the conventional options of line extension and isolated diesel mini-grids. These four attributes foster sustainability; therefore, the program is entitled Renewables for Sustainable Village Power (RSVP). The RSVP program is a multi-technology, multi-application program composed of six activities, including village applications development, computer model development, systems analysis, pilot project development, technical assistance, and Internet-based village power project data base. While the current program emphasizes wind, photovoltaics (PV), and their hybrids with diesel gen-sets, micro-hydro and micro-biomass technologies may be integrated in the future. NREL`s RSVP team is currently involved in rural electricity projects in thirteen countries, with U.S., foreign, and internationally based agencies and institutions. The integration of the technology developments, institutional experiences, and the financial solutions for the implementation of renewables in the main line rural electrification processes in both the developing world and remote regions of the developed world is the goal.

Flowers, L.

1997-03-01T23:59:59.000Z

245

Renewables for Sustainable Village Power  

DOE Green Energy (OSTI)

This paper describes the efforts of NREL's Renewables for Sustainable Village Power team to match renewable energy technologies with rural energy needs in the international market. The paper describes the team's activities, updates the lessons learned, and proposes an integrated approach as a model for rural electrification with renewables.

Flowers, L.; Baring-Gould, I.; Bianchi, J.; Corbus, D.; Drouilhet, S.; Elliott, D.; Gevorgian, V.; Jimenez, A.; Lilienthal, P.; Newcomb, C.; Taylor, R.

2000-11-06T23:59:59.000Z

246

Residential Buildings  

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

Exterior and interior of apartment building Exterior and interior of apartment building Residential Buildings The study of ventilation in residential buildings is aimed at understanding the role that air leakage, infiltration, mechanical ventilation, natural ventilation and building use have on providing acceptable indoor air quality so that energy and related costs can be minimized without negatively impacting indoor air quality. Risks to human health and safety caused by inappropriate changes to ventilation and air tightness can be a major barrier to achieving high performance buildings and must be considered.This research area focuses primarily on residential and other small buildings where the interaction of the envelope is important and energy costs are dominated by space conditioning energy rather than air

247

Guidelines for residential commissioning  

E-Print Network (OSTI)

Potential Benefits of Commissioning California Homes.Delp. 2000. Residential Commissioning: A Review of Relatedfor Evaluating Residential Commissioning Metrics Lawrence

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

2003-01-01T23:59:59.000Z

248

Residential Energy Efficiency Stakeholder Meeting - Spring 2012 |  

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

Residential Energy Efficiency Stakeholder Meeting - Spring 2012 Residential Energy Efficiency Stakeholder Meeting - Spring 2012 Residential Energy Efficiency Stakeholder Meeting - Spring 2012 The U.S. Department of Energy (DOE) Building America program held the second annual Residential Energy Efficiency Stakeholder Meeting on February 29-March 2, 2012, in Austin, Texas. At this meeting, hundreds of building industry professionals came together to share their perspective on the most current innovation projects in the residential buildings sector. This meeting provided an opportunity for researchers and industry stakeholders to showcase and discuss the latest in cutting-edge, energy-efficient residential building technologies and practices. The meeting also included working sessions from each Standing Technical Committee (STC), which outlined work that will best assist in overcoming

249

Marin Solar Village: feasibility study and technical analysis. Final report  

DOE Green Energy (OSTI)

The energy needs of Hamilton Air Force Base's Solar Village for electricity and heating and cooling of buildings are considered and alternative ways of meeting the Village's requirements for these forms of energy are evaluated. First, Solar Village's energy demand is calculated and compared to a base case representing calculations for typical energy usage for a development of similar size and density that is in conformance with current state and local ordinances. The potential of selected alternative technologies to meet the Solar Village projected demand for electrical power and natural gas is evaluated. Scenarios were developed to reduce demand, particularly in the building sector. Four alternative on-site energy technologies have been evaluated: wind, solar thermal electric, biomass conversion, photovoltaics. Each alternative is analyzed in detail. Of the four alternatives considered, the one with the greatest present potential is biomass conversion. Two technologies have been incorporated into the design. A 3-acre land fill is covered with a mantle of soil. A network of pipes carries off the methane gas which is a natural product of anaerobic decomposition of the materials in the land fill. The second technology involves the planting of rapidly-growing trees on denuded and unused portions of the site; 50 acres devoted to tree production could yield 12% of the back-up energy required for home heating on a sustainable basis.

Not Available

1980-08-31T23:59:59.000Z

250

OpenEI - residential sector key indicators  

Open Energy Info (EERE)

class"field-items">

http:www.eia.doe.govforecastsaeo
...

251

Village of L'Anse, Michigan (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

L'Anse, Michigan (Utility Company) L'Anse, Michigan (Utility Company) Jump to: navigation, search Name Village of L'Anse Place Michigan Utility Id 10508 Utility Location Yes Ownership M NERC Location MRO NERC MRO Yes ISO MISO Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Residential Energy Rate (RS) Residential Residential Energy Rate (RX) Residential Security Lighting: 100W High Pressure Sodium Lighting Security Lighting: 175W High Pressure Sodium Lighting Security Lighting: 175W Mercury Vapor Lighting Security Lighting: 250W Mercury Vapor Lighting Single-Phase Commercial Service (CL) Commercial

252

Analysis of Energy Consumption and Research on Energy-Saving Technology of Rural Residential Buildings in Southern Shaanxi  

Science Conference Proceedings (OSTI)

The article was to grasp trends of energy consumption of village in southern Shaanxi province. Selecting Huangjiagou village of Mian county in Hanzhong city as the investigation base Respectively, in January 2009 and July2010, investigation was conducted ... Keywords: rural region, investigation, residential dwellings, energy consumption, energy conservation

Yang Liu; Xia Fang; Meng Dan; An Yungang

2011-02-01T23:59:59.000Z

253

Environmental assessment in support of proposed voluntary energy conservation standard for new residential buildings  

Science Conference Proceedings (OSTI)

The objective of this environmental assessment (EA) is to identify the potential environmental impacts that could result from the proposed voluntary residential standard (VOLRES) on private sector construction of new residential buildings. 49 refs., 15 tabs.

Hadley, D.L.; Parker, G.B.; Callaway, J.W.; Marsh, S.J.; Roop, J.M.; Taylor, Z.T.

1989-06-01T23:59:59.000Z

254

sector | OpenEI  

Open Energy Info (EERE)

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

255

Doe Bay Village Resort Pool & Spa Low Temperature Geothermal Facility |  

Open Energy Info (EERE)

Doe Bay Village Resort Pool & Spa Low Temperature Geothermal Facility Doe Bay Village Resort Pool & Spa Low Temperature Geothermal Facility Jump to: navigation, search Name Doe Bay Village Resort Pool & Spa Low Temperature Geothermal Facility Facility Doe Bay Village Resort Sector Geothermal energy Type Pool and Spa Location Olga, Washington Coordinates Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

256

An Energy Model for a Low Income Rural African Village | Open Energy  

Open Energy Info (EERE)

An Energy Model for a Low Income Rural African Village An Energy Model for a Low Income Rural African Village Jump to: navigation, search Tool Summary LAUNCH TOOL Name: An Energy Model for a Low Income Rural African Village Agency/Company /Organization: Howells, Alfstad, Victor, Goldstein and Remme Sector: Energy Focus Area: Renewable Energy, Economic Development, Energy Efficiency, People and Policy Phase: Create a Vision Topics: - Energy Access Resource Type: Publications User Interface: Website Website: iea-etsap.org/web/Workshop/worksh_6_2003/2003P_howells.pdf Cost: Free UN Region: Southern Africa Language: English This paper reports on efforts to extend a MARKAL energy model for South Africa to include rural energy choices, allowing for computation of optimal energy systems in a typical (non-electrified) rural village.

257

Updated Buildings Sector Appliance and Equipment Costs and Efficiency  

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

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

258

Improving the Energy Efficiency of Residential Buildings | Department of  

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

Residential Buildings Residential Buildings Improving the Energy Efficiency of Residential Buildings Visitors Tour Solar Decathlon Homes Featuring the Latest in Energy Efficient Building Technology. Learn More Visitors Tour Solar Decathlon Homes Featuring the Latest in Energy Efficient Building Technology. Learn More The Building Technologies Office (BTO) collaborates with the residential building industry to improve the energy efficiency of both new and existing homes. By developing, demonstrating, and deploying cost-effective solutions, BTO strives to reduce energy consumption across the residential building sector by at least 50%. Research and Development Conduct research that focuses on engineering solutions to design, test, and

259

Alaska Native Village Energy Development Workshop Agenda  

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

Download a draft agenda for the Alaska Native Village Energy Development Workshop scheduled for October 21-23, 2013, in Fairbanks, Alaska.

260

Financial modeling of consumer discount rate in residential solar photovoltaic purchasing decisions.  

E-Print Network (OSTI)

??Diffusion of microgeneration technologies, particularly rooftop photovoltaic (PV), represents a key option in reducing emissions in the residential sector. This thesis uses a uniquely rich (more)

Sigrin, Benjamin O.

2013-01-01T23:59:59.000Z

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


261

Village of Rockville Centre, New York (Utility Company) | Open Energy  

Open Energy Info (EERE)

Rockville Centre, New York (Utility Company) Rockville Centre, New York (Utility Company) Jump to: navigation, search Name Village of Rockville Centre Place New York Utility Id 16217 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates Residential: $0.1020/kWh Commercial: $0.0956/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a"

262

Village of Lyman, Nebraska (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Lyman Lyman Place Nebraska Utility Id 11346 Utility Location Yes Ownership M NERC Location MRO NERC SPP Yes NERC WECC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates Residential: $0.0923/kWh Commercial: $0.1380/kWh Industrial: $0.1630/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Lyman,_Nebraska_(Utility_Company)&oldid=412028" Categories: EIA Utility Companies and Aliases Utility Companies

263

Entity State Code Class of Ownership Residential Commercial...  

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

Code Class of Ownership Residential Commercial Industrial Transportation All Sectors DTE Energy Services AL Non-Utility - - 458,868 - 458,868 Riceland Foods Inc. AR Non-Utility -...

264

Calculating Residential Carbon Dioxide Emissions --A New Approach  

E-Print Network (OSTI)

Calculating Residential Carbon Dioxide Emissions -- A New Approach Larry Hughes, Kathleen Bohan to submit an annual national greenhouse gas inventory to the United Nations Framework Convention on Climate different sectors and their associated greenhouse gas emissions (principally carbon dioxide, methane

Hughes, Larry

265

Estimated United States Residential Energy Use in 2005  

DOE Green Energy (OSTI)

A flow chart depicting energy flow in the residential sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 11,000 trillion British Thermal Units (trBTUs) of electricity and fuels were used throughout the United States residential sector in lighting, electronics, air conditioning, space heating, water heating, washing appliances, cooking appliances, refrigerators, and other appliances. The residential sector is powered mainly by electricity and natural gas. Other fuels used include petroleum products (fuel oil, liquefied petroleum gas and kerosene), biomass (wood), and on-premises solar, wind, and geothermal energy. The flow patterns represent a comprehensive systems view of energy used within the residential sector.

Smith, C A; Johnson, D M; Simon, A J; Belles, R D

2011-12-12T23:59:59.000Z

266

Village of Castile, New York (Utility Company) | Open Energy...  

Open Energy Info (EERE)

Up Search Page Edit with form History Facebook icon Twitter icon Village of Castile, New York (Utility Company) Jump to: navigation, search Name Village of Castile Place New...

267

Village of Angelica, New York (Utility Company) | Open Energy...  

Open Energy Info (EERE)

Up Search Page Edit with form History Facebook icon Twitter icon Village of Angelica, New York (Utility Company) Jump to: navigation, search Name Village of Angelica Place New...

268

Village of Andover, New York (Utility Company) | Open Energy...  

Open Energy Info (EERE)

Up Search Page Edit with form History Facebook icon Twitter icon Village of Andover, New York (Utility Company) Jump to: navigation, search Name Village of Andover Place New...

269

Native Village of Teller Addresses Heating Fuel Shortage, Improves...  

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

Native Village of Teller Addresses Heating Fuel Shortage, Improves Energy Security Native Village of Teller Addresses Heating Fuel Shortage, Improves Energy Security June 22, 2012...

270

Evaluation of evolving residential electricity tariffs , Nicholas DeForest o  

E-Print Network (OSTI)

Poster: Evaluation of evolving residential electricity tariffs Judy Lai o , Nicholas DeForest o-130% of baseline) Tier 1 (Baseline) Evaluation of evolving residential electricity tariffs Judy Lai o, Nicholas De sold to the residential sector. Tariffs are colour coded and generally are increasing both through time

271

AK-TRIBE-NATIVE VILLAGE OF NAPAKIAK  

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

AK-TRIBE-NATIVE VILLAGE OF NAPAKIAK AK-TRIBE-NATIVE VILLAGE OF NAPAKIAK Energy Efficiency and Conservation Block Grant Program Location: Tribe AK-TRIBE-NATIVE VILLAGE OF NAPAKIAK AK American Recovery and Reinvestment Act: Proposed Action or Project Description The Native Village of Napakiak proposes to renovate/retrofit two buildings (Health Clinic and Community Center [former Transportation Building]) to become more energy efficient. Energy efficiency retrofits would include improvements to lighting systems, supplemental loads, air distribution systems, and/or heating and cooling systems, insulation, and windows/doors. Conditions: None Categorical Exclusion(s) Applied: B2.5, B5.1 *-For the complete DOE National Environmental Policy Act regulations regarding categorical exclusions, see Subpart D of 10 CFR10 21

272

Alaska Native Village Energy Development Workshop  

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

Alaska Native Village Energy Development Workshop Alaska Native Village Energy Development Workshop October 21-23, 2013 Presented by: U.S. Department of Energy Office of Indian Energy Policy and Programs and Office of Energy Efficiency and Renewable Energy Tribal Energy Program Co-sponsored by: University of Alaska-Fairbanks and Alaska Center for Energy and Power This workshop is designed to help Alaska Native villages and corporations understand the range of energy efficiency and renewable energy opportunities that exist in their remote communities. Part of an overall effort to further support and encourage accelerated clean energy resource development in Alaska Native villages, the workshop will cover topics such as: * Strategic energy planning * Clean energy project development and financing

273

A flexible system for Olympic villages  

E-Print Network (OSTI)

This thesis suggests a flexible system and its systems approach in constructing Olympic Villages which are used both during and after the Games. A historical overview of ancient Olympia and modern Olympia, as well as a ...

Chung, Se-Hack

1985-01-01T23:59:59.000Z

274

DOE Solar Decathlon: Village Energy Balance  

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

Village Energy Balance The competition houses in the U.S. Department of Energy Solar Decathlon strive to produce a net energy balance over the course of their operation in the...

275

Alaska Native Village Energy Development Workshop  

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

Presented by the DOE Office of Indian Energy and Office of Energy Efficiency and Renewable Energy Tribal Energy Program, this workshop is designed to help Alaska Native villages and corporations...

276

Table 7.6 Coal Stocks by Sector, End of Year 1949-2011 ...  

U.S. Energy Information Administration (EIA)

Table 7.6 Coal Stocks by Sector, End of Year 1949-2011 (Million Short Tons) Year: Producers and Distributors: Consumers: Total: Residential

277

Residential | OpenEI  

Open Energy Info (EERE)

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

278

Energy End-Use Flow Maps for the Buildings Sector  

SciTech Connect

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

Belzer, David B.

2006-12-04T23:59:59.000Z

279

Sector 7  

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

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

280

Residential Wood Residential wood combustion (RWC) is  

E-Print Network (OSTI)

Residential Wood Combustion Residential wood combustion (RWC) is increasing in Europe because PM2.5. Furthermore, other combustion- related sources of OA in Europe may need to be reassessed. Will it affect global OA emission estimates? Combustion of biofuels is globally one of the major OA sources

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


281

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

Gasoline and Diesel Fuel Update (EIA)

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

282

Renewable Energy for Sustainable Rural Village Power  

DOE Green Energy (OSTI)

It is estimated that two billion people live without electricity and its services worldwide. In addition, there is a sizeable number of rural villages that have limited electrical service, with either part-day operation by diesel generator or partial electrification. For many villages connected to the grid, power is often sporadically available and of poor quality. The US National Renewable Energy Laboratory (NREL) in Golden, Colorado, has initiated a program that involves hybrid systems, to address these potential electricity opportunities in rural villages through the application of renewable energy technologies.1 The objective of this program is to develop and implement applications that demonstrate the technical performance, economic competitiveness, operational viability, and environmental benefits of renewable rural electric solutions, compared to the conventional options of line extension and isolated diesel mini-grids. Hybrid systems are multi-disciplinary, multi-technology, multi-application programs composed of six activities, including village applications development, computer model development, systems analysis, pilot project development, technical assistance, and Internet-based village power project data base. While the current program emphasizes wind, photovoltaics (PV), and their hybrids with diesel generator, micro-hydro and micro-biomass technologies may be integrated in the future. Thirteen countries are actively engaged in hybrid systems for rural and remote applications and another dozen countries have requested assistance in exploring wind/PV hybrid systems within their territories. At present rural/remote site application of renewable technologies is the fastest growing aspect of renewable energy worldwide.

Touryan, J. O. V.; Touryan, K. J.

1999-08-05T23:59:59.000Z

283

Analysis of ultimate energy consumption by sector in Islamic republic of Iran  

Science Conference Proceedings (OSTI)

Total ultimate energy consumption in Iran was 1033.32 MBOE in 2006, and increased at an average annual rate of 6% in 1996-2006. Household and commercial sector has been the main consumer sector (418.47 MBOE) and the fastest-growing sector (7.2%) that ... Keywords: Iran, agricultural sector, energy audits, energy consumption, industrial sector, residential and commercial sector, transportation sector

B. Farahmandpour; I. Nasseri; H. Houri Jafari

2008-02-01T23:59:59.000Z

284

National Residential Efficiency Measures Database Aimed at Reducing Risk for Residential Retrofit Industry (Fact Sheet)  

DOE Green Energy (OSTI)

This technical highlight describes NREL research to develop a publicly available database of energy retrofit measures containing performance characteristics and cost estimates for nearly 3,000 measures. Researchers at the U.S. Department of Energy (DOE) National Renewable Energy Laboratory (NREL) have developed the National Residential Efficiency Measures Database, a public database that characterizes the performance and costs of common residential energy efficiency measures. The data are available for use in software programs that evaluate cost-effective retrofit measures to improve the energy efficiency of residential buildings. The database provides a single, consistent source of current data for DOE and private-sector energy audit and simulation software tools and the retrofit industry. The database will reduce risk for residential retrofit industry stakeholders by providing a central, publicly vetted source of up-to-date information.

Not Available

2012-01-01T23:59:59.000Z

285

Alaska Village Elec Coop, Inc | Open Energy Information  

Open Energy Info (EERE)

Village Elec Coop, Inc Village Elec Coop, Inc Jump to: navigation, search Name Alaska Village Elec Coop, Inc Place Alaska Utility Id 221 Utility Location Yes Ownership C NERC Location AK Operates Generating Plant Yes Activity Generation Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Large Power- GS-2: Alakanuk Village Industrial Large Power- GS-2: Ambler Village Industrial Large Power- GS-2: Anvik Village Industrial Large Power- GS-2: Brevig Mission Village Industrial Large Power- GS-2: Chevak Village Industrial Large Power- GS-2: Eek Village Industrial

286

Native Village of Teller Addresses Heating Fuel Shortage, Improves Energy  

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

Native Village of Teller Addresses Heating Fuel Shortage, Improves Native Village of Teller Addresses Heating Fuel Shortage, Improves Energy Security Native Village of Teller Addresses Heating Fuel Shortage, Improves Energy Security June 22, 2012 - 4:54pm Addthis The combination of the Native Village of Teller’s limited fuel storage capacity and a harsh winter led to a supply shortage. Photo by Alexander Dane, NREL The combination of the Native Village of Teller's limited fuel storage capacity and a harsh winter led to a supply shortage. Photo by Alexander Dane, NREL Native Village of Teller Addresses Heating Fuel Shortage, Improves Energy Security Native Village of Teller fuel storage. Photo by Alexander Dane, NREL Native Village of Teller fuel storage. Photo by Alexander Dane, NREL The combination of the Native Village of Teller's limited fuel storage capacity and a harsh winter led to a supply shortage. Photo by Alexander Dane, NREL

287

Native Village of Teller Addresses Heating Fuel Shortage, Improves Energy  

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

Native Village of Teller Addresses Heating Fuel Shortage, Improves Native Village of Teller Addresses Heating Fuel Shortage, Improves Energy Security Native Village of Teller Addresses Heating Fuel Shortage, Improves Energy Security June 22, 2012 - 4:54pm Addthis The combination of the Native Village of Teller’s limited fuel storage capacity and a harsh winter led to a supply shortage. Photo by Alexander Dane, NREL The combination of the Native Village of Teller's limited fuel storage capacity and a harsh winter led to a supply shortage. Photo by Alexander Dane, NREL Native Village of Teller Addresses Heating Fuel Shortage, Improves Energy Security Native Village of Teller fuel storage. Photo by Alexander Dane, NREL Native Village of Teller fuel storage. Photo by Alexander Dane, NREL The combination of the Native Village of Teller's limited fuel storage capacity and a harsh winter led to a supply shortage. Photo by Alexander Dane, NREL

288

Village of Penn Yan, New York (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Yan, New York (Utility Company) Yan, New York (Utility Company) Jump to: navigation, search Name Village of Penn Yan Place New York Utility Id 14700 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes ISO NY Yes Activity Distribution Yes Activity Bundled Services Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Industrial Rate Industrial Public Street Lighting Lighting Residential (per meter, per month) Residential Security Outdoor Lighting (175W MV/HPS) Lighting Security Outdoor Lighting (250W MV/HPS) Lighting Security Outdoor Lighting (400W MV/HPS) Lighting Security Outdoor Lighting(1000W MV/HPS) Lighting

289

Marietta Power & Water - Residential Energy Efficiency Rebate...  

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

Marietta Power & Water - Residential Energy Efficiency Rebate Program Marietta Power & Water - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For...

290

TOPIC Brief BUILDING TECHNOLOGIES PROGRAM Lighting: Residential...  

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

Lighting: Residential and Commercial Requirements TOPIC BRIEF 1 Lighting: Residential and Commercial Requirements Residential Lighting Requirements The 2009 International Energy...

291

Burlington Electric Department - Residential Energy Efficiency...  

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

Residential Energy Efficiency Rebate Program Burlington Electric Department - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Appliances &...

292

Columbia Rural Electric Association - Residential Energy Efficiency...  

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

Residential Energy Efficiency Rebate Program Columbia Rural Electric Association - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Home...

293

Ozarks Electric Cooperative - Residential Energy Efficiency Loan...  

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

Ozarks Electric Cooperative - Residential Energy Efficiency Loan Program Ozarks Electric Cooperative - Residential Energy Efficiency Loan Program Eligibility Residential Savings...

294

Kootenai Electric Cooperative - Residential Efficiency Rebate...  

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

Kootenai Electric Cooperative - Residential Efficiency Rebate Program Kootenai Electric Cooperative - Residential Efficiency Rebate Program Eligibility Residential Savings For Home...

295

Southwest Electric Cooperative - Residential Energy Efficiency...  

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

Southwest Electric Cooperative - Residential Energy Efficiency Rebate Program Southwest Electric Cooperative - Residential Energy Efficiency Rebate Program Eligibility Residential...

296

Kirkwood Electric - Residential Energy Efficiency Rebate Program...  

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

Kirkwood Electric - Residential Energy Efficiency Rebate Program Kirkwood Electric - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Heating &...

297

Central Electric Cooperative - Residential Energy Efficiency...  

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

Residential Energy Efficiency Rebate Programs Central Electric Cooperative - Residential Energy Efficiency Rebate Programs Eligibility Construction Residential Savings For Other...

298

Cherokee Electric Cooperative - Residential Energy Efficiency...  

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

Cherokee Electric Cooperative - Residential Energy Efficiency Loan Programs Cherokee Electric Cooperative - Residential Energy Efficiency Loan Programs Eligibility Residential...

299

SRP - Residential Energy Efficiency Rebate Program | Department...  

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

SRP - Residential Energy Efficiency Rebate Program SRP - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Home Weatherization Commercial...

300

Barron Electric Cooperative - Residential Energy Resource Conservation...  

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

Residential Energy Resource Conservation Loan Program Barron Electric Cooperative - Residential Energy Resource Conservation Loan Program Eligibility Residential Savings For Home...

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


301

Cedar Falls Utilities - Residential Energy Efficiency Rebate...  

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

Residential Energy Efficiency Rebate Program Cedar Falls Utilities - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Heating & Cooling Commercial...

302

Minnesota Valley Electric Cooperative -Residential Energy Resource...  

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

Residential Energy Resource Conservation Loan Program Minnesota Valley Electric Cooperative -Residential Energy Resource Conservation Loan Program Eligibility Residential Savings...

303

Lake Region Electric Cooperative - Residential Energy Efficiency...  

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

Region Electric Cooperative - Residential Energy Efficiency Rebate Program Lake Region Electric Cooperative - Residential Energy Efficiency Rebate Program Eligibility Residential...

304

Distillate Fuel Oil Sales for Residential Use  

Annual Energy Outlook 2012 (EIA)

End Use Product: Residential - Distillate Fuel Oil Residential - No. 1 Residential - No. 2 Residential - Kerosene Commercial - Distillate Fuel Oil Commercial - No. 1 Distillate...

305

PPL Electric Utilities - Residential Energy Efficiency Rebate...  

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

Residential Energy Efficiency Rebate Program PPL Electric Utilities - Residential Energy Efficiency Rebate Program Eligibility Multi-Family Residential Residential Savings For Home...

306

Atmos Energy (Gas) - Residential Efficiency Program | Department...  

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

Atmos Energy (Gas) - Residential Efficiency Program Atmos Energy (Gas) - Residential Efficiency Program Eligibility Low-Income Residential Residential Savings For Heating & Cooling...

307

Benton PUD - Residential Energy Efficiency Rebate Programs |...  

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

Residential Energy Efficiency Rebate Programs Benton PUD - Residential Energy Efficiency Rebate Programs Eligibility Multi-Family Residential Residential Savings For Appliances &...

308

Building Technologies Office: Residential Energy Efficiency Stakeholder  

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

Energy Efficiency Stakeholder Meeting - Spring 2012 Energy Efficiency Stakeholder Meeting - Spring 2012 The U.S. Department of Energy (DOE) Building America program held the second annual Residential Energy Efficiency Stakeholder Meeting on February 29-March 2, 2012, in Austin, Texas. At this meeting, hundreds of building industry professionals came together to share their perspective on the most current innovation projects in the residential buildings sector. This meeting provided an opportunity for researchers and industry stakeholders to showcase and discuss the latest in cutting-edge, energy-efficient residential building technologies and practices. The meeting also included working sessions from each Standing Technical Committee (STC), which outlined work that will best assist in overcoming technical challenges and delivering Building America research results to the market. Learn more about the STCs and the research planning process.

309

Building Technologies Office: Residential Buildings  

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

Residential Buildings Residential Buildings to someone by E-mail Share Building Technologies Office: Residential Buildings on Facebook Tweet about Building Technologies Office: Residential Buildings on Twitter Bookmark Building Technologies Office: Residential Buildings on Google Bookmark Building Technologies Office: Residential Buildings on Delicious Rank Building Technologies Office: Residential Buildings on Digg Find More places to share Building Technologies Office: Residential Buildings on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Technology Research, Standards, & Codes Popular Residential Links Success Stories Previous Next Warming Up to Pump Heat. Lighten Energy Loads with System Design. Cut Refrigerator Energy Use to Save Money. Tools EnergyPlus Whole Building Simulation Program

310

Residential Energy Consumption Survey (RECS) - Analysis & Projections -  

Gasoline and Diesel Fuel Update (EIA)

All Reports & Publications All Reports & Publications Search By: Go Pick a date range: From: To: Go graph of U.S. electricity end use, as explained in the article text U.S. electricity sales have decreased in four of the past five years December 20, 2013 Gas furnace efficiency has large implications for residential natural gas use December 5, 2013 EIA publishes state fact sheets on residential energy consumption and characteristics August 19, 2013 All 48 related articles › ResidentialAvailable formats PDF Modeling Distributed Generation in the Buildings Sectors Released: August 29, 2013 This report focuses on how EIA models residential and commercial sector distributed generation, including combined heat and power, for the Annual Energy Outlook. State Fact Sheets on Household Energy Use

311

Development and Village Governance in Indonesia  

E-Print Network (OSTI)

Development and Village Governance in Indonesia A Public Lecture presented by Dr Scott Guggenheim AusAID-Indonesia Partnership Program How do development programs engage with the changing landscape of local governance in Indonesia? And what is it that development programs "do?"Covering almost 60

312

Sector 7  

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

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

313

OpenEI - Residential  

Open Energy Info (EERE)

Commercial and Commercial and Residential Hourly Load Profiles for all TMY3 Locations in the United States http://en.openei.org/datasets/node/961 This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols).  This dataset also includes the residential/">Residential Energy Consumption Survey (RECS) for statistical references of building types

314

Residential Price - Marketers  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

315

Choosing a Residential Window  

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

Choosing a Residential Window LBNLs Windows and Daylighting Group provides technical support to government and industry efforts to help consumers and builders choose...

316

Essays on residential desegregation  

E-Print Network (OSTI)

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 ...

Wong, Maisy

2008-01-01T23:59:59.000Z

317

Assumptions to the Annual Energy Outlook 2002 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

318

Assumptions to the Annual Energy Outlook 2001 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

319

Residential/commercial market for energy technologies  

SciTech Connect

The residential/commercial market sector, particularly as it relates to energy technologies, is described. Buildings account for about 25% of the total energy consumed in the US. Market response to energy technologies is influenced by several considerations. Some considerations discussed are: industry characteristics; market sectors; energy-consumption characeristics; industry forecasts; and market influences. Market acceptance may be slow or nonexistent, the technology may have little impact on energy consumption, and redesign or modification may be necessary to overcome belatedly perceived market barriers. 7 figures, 20 tables.

Glesk, M.M.

1979-08-01T23:59:59.000Z

320

University of California Davis West Village: The Largest Planned...  

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

webinarucdavidwestvillage.pdf More Documents & Publications Designing Hawaii's First LEED Platinum Net Zero Community: Kaupuni Village Electricity Advisory Committee Meeting...

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


321

Trigeneration in a northern Chinese village using crop residues  

E-Print Network (OSTI)

) in a central- ized village gasifier. Some of the gas so generated would be distributed via PVC pipes

322

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

Gasoline and Diesel Fuel Update (EIA)

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

323

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

Gasoline and Diesel Fuel Update (EIA)

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

324

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

Gasoline and Diesel Fuel Update (EIA)

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

325

Analysis of Building Damages of Paste Backfill Mining under Villages  

Science Conference Proceedings (OSTI)

In order to realize coal mining in safety without moving villages, increase coal recovery ratio, solve the conflict of mining and panel relays, the scheme of paste backfill mining under villages in Xiaotun coal mine is executed, and the surface subsidence ... Keywords: Mining under Villages, Paste Backfilling, Damage Assessment, Displacement, Deformation

Chai Hua-bin; Zou You-feng; Guo Wen-bing; Chen Jun-jie

2011-02-01T23:59:59.000Z

326

Residential Humidity Control Strategies  

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

Residential Humidity Control Strategies Residential Humidity Control Strategies Armin Rudd Residential Energy Efficiency Stakeholder Meeting 2/29 - 3/2/2012 Austin, Texas 2 Residential Energy Efficiency Stakeholder Meeting 2/29 - 3/2/2012 Austin, Texas Humidity control goals  Comfort, and Indoor Air Quality  Control indoor humidity year-around, just like we do temperature  Durability and customer satisfaction  Reduce builder risk and warranty/service costs 2 3 Residential Energy Efficiency Stakeholder Meeting 2/29 - 3/2/2012 Austin, Texas Humidity control challenges 1. In humid cooling climates, there will always be times of the year when there is little sensible cooling load to create thermostat demand but humidity remains high * Cooling systems that modify fan speed and temperature set point based on humidity can help but are still limited

327

Sector X  

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

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

328

Sector 7  

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

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

329

DOE Solar Decathlon: Solar Village Energy Balance  

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

man installing PV panels on the roof of a house. man installing PV panels on the roof of a house. U.S. Department of Energy Solar Decathlon Bookmark and Share - Home About Competition Scores & Standings Teams News Photos Videos Product Directory Village Energy Balance Education Sponsors History FAQs Contacts Solar Decathlon Village Energy Balance The U.S. Department of Energy Solar Decathlon 2013 used a small power grid, or microgrid, to distribute energy safely and reliably among the competition houses and to the utility grid. hen the sun was shining, the solar electric panels on the houses produced energy that was used to power appliances, lights, mechanical systems, and electronics. Excess energy flowed from the houses, through the microgrid, and to the Orange County community when more energy was generated than

330

Microsoft Word - Village voice article.doc  

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

from the Village Voice from the Village Voice http://www.villagevoice.com/issues/0222/baker.php Bracing for Yucca Mountain's Nuclear Forever Deep Time, Short Sight by R.C. Baker May 25th, 2002 12:30 AM n 1945, as the first atomic bomb was detonated in the New Mexico desert, one of its creators, physicist J. Robert Oppenheimer, recalled a line from Hindu scripture: "Now I am become Death, the destroyer of worlds." This being America, though, someone smelled a profit behind this almost biblical source of power-nine years later, the Atomic Energy Act allowed private companies to build commercial nuclear reactors, with the promise of "energy too cheap to meter." But the bill for three generations' worth of nuclear power is now coming due. The Department of Energy is

331

Nepal: Dangerous Plans for Village Militias  

E-Print Network (OSTI)

in Sudama, a village in the eastern Tarai district of Sarlahi some 125 kilometres from Kathmandu. The village, which has a population of about 5,000, is just four kilometres north of the border with the Indian state of Bihar. Sudamas population... If cg'kl:yt x'Fbf csf{] kIfsf] k|e'Tj b]lvPsf] 5 . csf{lt/ ;/sf/n] b]zsf s'gfsfKrfdf km}n]sf ;'/Iff lgsfoxnfO{ ToxfFaf6 p7fP/ x/]s lhNnfdf Pp6f cyjf b'O{cf]6f 7fpFdf alnof] zlQm :yfkgf ug{] s]lGb|s[t sdf08 cjwf/0ff ckgfPsf] 5 . sf7df8f}Faf6 sl...

International Crisis Group

2004-02-17T23:59:59.000Z

332

Residential solar home resale analysis  

DOE Green Energy (OSTI)

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.

Noll, S.A.

1980-01-01T23:59:59.000Z

333

Sector 7  

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

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

334

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

Reports and Publications (EIA)

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

Information Center

2007-03-11T23:59:59.000Z

335

The residential energy map : catalyzing energy efficiency through remote energy assessments and improved data access  

E-Print Network (OSTI)

Although energy efficiency has potential to be a significant energy resource in the United States, many energy efficiency projects continue to go unrealized. This is especially true in the residential sector, where efficiency ...

Howland, Alexis (Alexis Blair)

2013-01-01T23:59:59.000Z

336

Village Hydro Technology Module | Open Energy Information  

Open Energy Info (EERE)

Module AgencyCompany Organization: World Bank Sector: Energy Focus Area: Renewable Energy, Hydro Topics: Technology characterizations Website: web.worldbank.orgWBSITE...

337

Residential Energy Disclosure (Hawaii)  

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

A residential property owner is required to disclose electricity costs for the most recent three-month period in which the property was occupied as a condition of selling it. No proof or copies of...

338

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

from last week to 2.62 per gallon; up 37.4 cents from a year ago, based on the residential heating fuel survey by the U.S. Energy Information Administration. The retail price...

339

Residential propane prices increase  

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

from last week to 2.57 per gallon; up 32.2 cents from a year ago, based on the residential heating fuel survey by the U.S. Energy Information Administration. The retail price...

340

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

a week ago to 2.76 per gallon. That's up 51.2 cents from a year ago, based on the residential heating fuel survey by the U.S. Energy Information Administration. Propane prices...

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


341

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

a week ago to 2.71 per gallon. That's up 46.9 cents from a year ago, based on the residential heating fuel survey by the U.S. Energy Information Administration. Propane prices...

342

Residential Gateways and Controllers  

Science Conference Proceedings (OSTI)

Energy companies are exploring two-way residential communications to help reduce the cost of providing standard energy-related services, such as itemized billing or demand reduction, as well as to provide nontraditional services, such as diagnostic services and e-mail. This report covers the key to development of these services -- residential gateways and controllers. The report was prepared with both technical and financial energy company managers in mind, for use as a reference tool and strategic plann...

1999-08-31T23:59:59.000Z

343

Lessons learned -- NREL Village Power Program  

DOE Green Energy (OSTI)

In 1993, a workshop was convened at the National Renewable Energy Laboratory (NREL) to discuss the issues of applying renewable energy in a sustainable manner to international rural development. One of the summary recommendations was that NREL could assist in the renewable energy for rural electrification effort by developing and supplying six related activities: resource assessment, comparative analysis and modeling, performance monitoring and analysis, pilot project development, internet-based project data, communications, and training. In response to this recommendation, NREL launched its Village Power Program consisting of these activities that cut across NREL technologies and disciplines. Currently NREL is active in 20 countries, with pilot projects in 12 of those countries. At this time the technologies include photovoltaics, wind, biomass, and hybrids. The rural applications include home lighting and communications, water pumping, schools and health posts, battery charging stations, ecotourism, and village systems. These pilot projects are central to the renewable energy village power development through the demonstration of three aspects critical to replication and implementation of the projects on a significant scale. The three aspects are technical functionality, economic competitiveness, and institutional sustainability. It is important to note that the pilot projects from which NREL's experience has been gained were funded and, in many cases, developed by other organizations and agencies. NREL's role has been one of technical assistance or project management or both. The purpose of this paper is to describe the lessons NREL staff has gleaned from their participation in the various pilot projects. The author hopes that these lessons will help the Renewable Energy-Based Rural Electrification (RERE) community in implementing sustainable projects that lead to replication.

Flowers, L.

1998-07-01T23:59:59.000Z

344

Strategies for Low Carbon Growth In India: Industry and Non Residential  

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

Strategies for Low Carbon Growth In India: Industry and Non Residential Strategies for Low Carbon Growth In India: Industry and Non Residential Sectors Title Strategies for Low Carbon Growth In India: Industry and Non Residential Sectors Publication Type Report Refereed Designation Unknown LBNL Report Number LBNL-4557E Year of Publication 2011 Authors Sathaye, Jayant A., Stephane Rue de la du Can, Maithili Iyer, Michael A. McNeil, Klaas Jan Kramer, Joyashree Roy, Moumita Roy, and Shreya Roy Chowdhury Date Published 5/2011 Publisher LBNL Keywords Buildings Energy Efficiency, CO2 Accounting Methodology, CO2 mitigation, Demand Side Management, energy efficiency, greenhouse gas (ghg), india, industrial energy efficiency, industrial sector, Low Carbon Growth, Low Growth, Non Residential Abstract This report analyzed the potential for increasing energy efficiency and reducing greenhouse gas emissions (GHGs) in the non-residential building and the industrial sectors in India. The first two sections describe the research and analyses supporting the establishment of baseline energy consumption using a bottom up approach for the non residential sector and for the industry sector respectively. The third section covers the explanation of a modeling framework where GHG emissions are projected according to a baseline scenario and alternative scenarios that account for the implementation of cleaner technology.

345

Testing share & load growth in competitive residential gas markets  

SciTech Connect

The residential market stands as the next frontier for natural gas unbundling. In California, Illinois, Maryland, Massachusetts, New Jersey, New York, Ohio, Pennsylvania and elsewhere, states have introduced pilot programs and other unbundling efforts to target residential gas consumers. These efforts are hardly surprising. The residential market, presently dominated by the regulated local distribution companies, appears lucrative. In 1995, the residential sector of the U.S. natural gas industry consumed 4,736 trillion Btu of natural gas or 32 percent of all natural gas delivered by LDCs in that year. U.S. residential consumers accounted for $28.7 billion or 59 percent of the gas utility industry`s total revenues. Nevertheless, despite all the enthusiasm industry representatives have recently expressed in trade publications and public forums, the creation of a competitive residential market may prove a very slow process. Marketers appear cautious in taking the responsibility of serving residential consumers, and for very good reasons. Gaining a sizable portion of this market requires substantial investment in mass marketing, development of name recognition, acquisition of appropriate technology and employment of skillful personnel. Moreover, residential customers do not behave rationally in a {open_quotes}neoclassical{close_quotes} economic sense. They react not only to a price but to several qualitative factors that have yet to be studied by LDCs and marketers. This article offers results from creating a software program and model that answer two basic questions: (1) What share of the residential natural gas market can be realistically captured by non-regulated suppliers? (2) Will residential unbundling increase total throughput for gas utilities? If so, by how much?

Lonshteyn, A. [Boston Gas Company, MA (United States)

1998-02-15T23:59:59.000Z

346

Bureau of Indian Affairs - Supai Village, Arizona | Department of Energy  

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

Indian Affairs - Supai Village, Arizona Indian Affairs - Supai Village, Arizona Bureau of Indian Affairs - Supai Village, Arizona October 7, 2013 - 9:48am Addthis Photo of Photovoltaic Energy System at Havasupai Indian Reservation Village of Supai, Arizona The Havasupai Indian Reservation village of Supai, Arizona, is located approximately 40 miles northwest of Grand Canyon Village, AZ. It is one of the most remote Native American communities in the nation. Most supplies must be either flown in by helicopter or trekked in on horseback or by mule trains. Three photovoltaic (PV) energy systems will supply up to 2 kilowatts of electrical power each to three facilities, which include a school, a jail, and a government complex that houses local teachers and police officers. This community of 2,000 people experiences three or more electrical outages

347

DOE Alaska Native Village Renewable Energy Workshop | Department of Energy  

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

DOE Alaska Native Village Renewable Energy Workshop DOE Alaska Native Village Renewable Energy Workshop DOE Alaska Native Village Renewable Energy Workshop October 16, 2012 8:30AM AKDT to October 17, 2012 6:00PM AKDT Anchorage, Alaska The Department of Energy Office of Indian Energy Policy and Programs and Office of Energy Efficiency and Renewable Energy Tribal Energy Program are offering a 2-day workshop for Alaska Native village and corporation leaders and staff members to learn about the range of energy efficiency and renewable energy opportunities that exist in Alaska Native villages. The training will also cover project development and financing for clean energy projects. Don't miss the opportunity to learn from other Alaska Native Villages about their efforts to deploy clean energy technologies. View the agenda.

348

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

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

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

349

Reading Municipal Light Department - Residential ENERGY STAR...  

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

Residential ENERGY STAR Appliance Rebate Program Reading Municipal Light Department - Residential ENERGY STAR Appliance Rebate Program Eligibility Residential Savings For Heating &...

350

Chicopee Electric Light - Residential Solar Rebate Program |...  

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

Chicopee Electric Light - Residential Solar Rebate Program Chicopee Electric Light - Residential Solar Rebate Program Eligibility Residential Savings For Solar Buying & Making...

351

Lane Electric Cooperative - Residential Energy Efficiency Loan...  

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

Energy Efficiency Loan Programs Lane Electric Cooperative - Residential Energy Efficiency Loan Programs Eligibility Multi-Family Residential Residential Savings For Home...

352

Membership Criteria: Better Buildings Residential network  

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

Criteria BETTER BUILDINGS RESIDENTIAL NETWORK Learn more at betterbuildings.energy.govbbrn Better Buildings Residential Network (BBRN) members must be supportive of residential...

353

Residential Mobility and Latino Political Mobilization  

E-Print Network (OSTI)

Brians, Craig Leonard. 1997. Residential Mobility, VoterHighton, Benjamin. 2000. "Residential Mobility, Community2003. Language Choice, Residential Stability and Voting

Ramirez, Ricardo

2005-01-01T23:59:59.000Z

354

RESIDENTIAL THERMOSTATS: COMFORT CONTROLS IN CALIFORNIA HOMES  

E-Print Network (OSTI)

Report on Applicability of Residential Ventilation StandardsCharacterization of Residential New Construction PracticesJ - Load Calculation for Residential Winter and Summer Air

Meier, Alan K.

2008-01-01T23:59:59.000Z

355

Evaluation of evolving residential electricity tariffs  

E-Print Network (OSTI)

Evaluation of evolving residential electricity tariffs JudyEvaluation of evolving residential electricity tariffs Judyjdonadee@andrew.cmu.edu Abstract Residential customers in

Lai, Judy

2011-01-01T23:59:59.000Z

356

Landholders, Residential Land Conversion, and Market Signals  

E-Print Network (OSTI)

465 Margulis: Landholders, Residential Land Conversion, and1983. An Analysis of Residential Developer Location FactorsHow Regulation Affects New Residential Development. New

Margulis, Harry L.

2006-01-01T23:59:59.000Z

357

Infiltration in ASHRAE's Residential Ventilation Standards  

E-Print Network (OSTI)

Related to Residential Ventilation Requirements. Rudd, A. 2005. Review of Residential Ventilationand Matson N.E. , Residential Ventilation and Energy

Sherman, Max

2008-01-01T23:59:59.000Z

358

Assumptions to the Annual Energy Outlook - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

359

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

Gasoline and Diesel Fuel Update (EIA)

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

360

Building Technologies Office: Residential Building Activities  

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

Building Activities Building Activities The Department of Energy (DOE) is leading several different activities to develop, demonstrate, and deploy cost-effective solutions to reduce energy consumption across the residential building sector by at least 50%. The U.S. DOE Solar Decathlon is a biennial contest which challenges college teams to design and build energy efficient houses powered by the sun. Each team competes in 10 contests designed to gauge the performance, livability and affordability of their house. The Building America program develops market-ready energy solutions that improve the efficiency of new and existing homes while increasing comfort, safety, and durability. Guidelines for Home Energy Professionals foster the growth of a high quality residential energy upgrade industry and a skilled and credentialed workforce.

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


361

Residential Transportation Historical Publications reports, data and  

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

Historical Publications Historical Publications Residential Transportation reports, data tables and transportation questionnaires Released: May 2008 The Energy Information Administration conducts several core consumption surveys. Among them was the Residential Transportation Energy Consumption Survey (RTECS). RTECS was designed by EIA to provide information on how energy is used by households for personal vehicles. It was an integral part of a series of surveys (i.e., core consumption surveys) designed by EIA to collect data on energy used by end-use economic sectors. The RTECS collected data on the number and type of vehicles used by the household. For each vehicle, data were collected on the number of miles traveled (commonly called VMT) for the year, the number of gallons of fuel consumed, the type of fuel used, the priced paid for fuel, and the number of miles per gallon. Additional electronic releases are available on the Transportation homepage.

362

Inquiry into Community Integration in an Aleutian Village  

E-Print Network (OSTI)

of the history of the Aleutians. Arctic IV, No. 2:75-88.ceremony of Umnak, Aleutian Islands. American Anthropologiststudy of Nikolski, an Aleutian village. Unpublished Masters'

Berreman, Gerald D.

1955-01-01T23:59:59.000Z

363

University of California Davis West Village: The Largest Planned...  

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

webinarucdavidwestvillage.pdf More Documents & Publications Designing Hawaii's First LEED Platinum Net Zero Community: Kaupuni Village Building energy benchmarks and rating...

364

Village Green-Green Ridge, Pennsylvania: Energy Resources | Open...  

Open Energy Info (EERE)

| Sign Up Search Page Edit with form History Facebook icon Twitter icon Village Green-Green Ridge, Pennsylvania: Energy Resources Jump to: navigation, search Equivalent URI...

365

Efficient System Design and Sustainable Finance for China's Village...  

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

the analysis, some indicative results, and the planned use of the tool in the Village Electrification Program. Grant from Government & Subsidy from...

366

Analysis of village hybrid systems in Chile  

DOE Green Energy (OSTI)

Chile recently began a major rural electrification program to electrify those 240,000 families (about half of the rural people) who lack electricity access. In this paper, we discuss a pilot project to electrify three remote villages in Chile`s Region IX using wind/genset/battery hybrids. The intent of this project is to demonstrate the reliability and cost-effectiveness of wind/genset/battery hybrids and to encourage replication of these types of systems in Chile`s electrification program. For each village, electricity connections are planned for several residences, and also schools, health posts, community centers, or chapels. Projected average daily loads are small, ranging from 4 to 10 kWh. Using the optimization program HOMER and the simulation program Hybrid2, we evaluated options to maximize technical performance, minimize costs, and gain experience with a variety of systems and components. We find that wind/genset/battery hybrids will be able to provide cost-effective, reliable power for these sites. More importantly, their inherent flexibility allows for variations in load and resource without greatly affecting the cost of energy.

Lew, D J; Corbus, D; Holz, R [and others

1996-06-01T23:59:59.000Z

367

Sector 7  

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

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

368

Property:Incentive/ImplSector | Open Energy Information  

Open Energy Info (EERE)

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

369

Jasper County REMC - Residential Residential Energy Efficiency Rebate  

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

Jasper County REMC - Residential Residential Energy Efficiency Jasper County REMC - Residential Residential Energy Efficiency Rebate Program Jasper County REMC - Residential Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Water Heating Program Info State Indiana Program Type Utility Rebate Program Rebate Amount Refrigerator Recycling: $35 Heat Pump Water Heater: $400 Air-Source Heat Pumps: $250 - $1,500/unit (Power Moves rebate), $200 (REMC Bill Credit) Dual Fuel Heat Pumps: $1,500/unit Geothermal Heat Pumps: $1,500/unit (Power Moves rebate), $500 (REMC Bill Credit) Provider Jasper County REMC Jasper County REMC, in conjunction with Wabash Valley Power Association's Power Moves programs, offers a range of rebates to its residential

370

Large-Scale Residential Energy Efficiency Programs Based on CFLs | Open  

Open Energy Info (EERE)

Large-Scale Residential Energy Efficiency Programs Based on CFLs Large-Scale Residential Energy Efficiency Programs Based on CFLs Jump to: navigation, search Tool Summary Name: Large-Scale Residential Energy Efficiency Programs Based on CFLs Agency/Company /Organization: Energy Sector Management Assistance Program of the World Bank Sector: Energy Focus Area: Energy Efficiency, Buildings Topics: Implementation, Policies/deployment programs Website: www.esmap.org/filez/pubs/216201021421_CFL_Toolkit_Web_Version_021610_R References: Large-Scale Residential Energy Efficiency Programs Based on CFLs[1] Overview "The World Bank Group and its Energy Sector Management Assitance Progamme (ESMAP) have produced a toolkit for efficient lighting programmes, based on compact fluorescent lamps, that compiles and shares operational (design,

371

Residential Building Code Compliance  

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

6 6 Residential Building Code Compliance: Recent Findings and Implications Energy use in residential buildings in the U.S. is significant-about 20% of primary energy use. While several approaches reduce energy use such as appliance standards and utility programs, enforcing state building energy codes is one of the most promising. However, one of the challenges is to understand the rate of compliance within the building community. Utility companies typically use these codes as the baseline for providing incentives to builders participating in utility-sponsored residential new construction (RNC) programs. However, because builders may construct homes that fail to meet energy codes, energy use in the actual baseline is higher than would be expected if all buildings complied with the code. Also,

372

Progress in Residential Retrofit  

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

The Cutting Edge: Progress in Residential Retrofit The Cutting Edge: Progress in Residential Retrofit A geographic representation of saturations of ceiling fans based on data from the RASSes. White areas indicate a lack of data for that region. Many utilities survey their customers to learn more about the buildings and the occupants in their service areas. These surveys-usually called "residential appliance saturation surveys," or RASSes-ask for the number and types of appliances present, the number of people living in the home, and sometimes personal information. The RASSes are also used to collect information about the presence of conservation measures such as wall and ceiling insulation, weatherstripping, multipane windows, and water flow restrictors. Building Energy Analysis Group researchers Alan Meier and Brian Pon gathered RASSes

373

Building Technologies Residential Survey  

SciTech Connect

Introduction A telephone survey of 1,025 residential occupants was administered in late October for the Building Technologies Program (BT) to gather information on residential occupant attitudes, behaviors, knowledge, and perceptions. The next section, Survey Results, provides an overview of the responses, with major implications and caveats. Additional information is provided in three appendices as follows: - Appendix A -- Summary Response: Provides summary tabular data for the 13 questions that, with subparts, comprise a total of 25 questions. - Appendix B -- Benchmark Data: Provides a benchmark by six categories to the 2001 Residential Energy Consumption Survey administered by EIA. These were ownership, heating fuel, geographic location, race, household size and income. - Appendix C -- Background on Survey Method: Provides the reader with an understanding of the survey process and interpretation of the results.

Secrest, Thomas J.

2005-11-07T23:59:59.000Z

374

Measuring Residential Ventilation  

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

Measuring Residential Ventilation Measuring Residential Ventilation System Airflows: Part 2 - Field Evaluation of Airflow Meter Devices and System Flow Verification J. Chris Stratton, Iain S. Walker, Craig P. Wray Environmental Energy Technologies Division October 2012 LBNL-5982E 2 Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor the Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any

375

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

376

Residential Buildings Integration Program  

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

David Lee David Lee Program Manager David.Lee@ee.doe.gov 202-287-1785 April 2, 2013 Residential Buildings Integration Program Building Technologies Office Program Peer Review 2 | Building Technologies Office eere.energy.gov Sub-Programs for Review Better Buildings Neighborhood Program Building America Challenge Home Home Energy Score Home Performance with ENERGY STAR Solar Decathlon 3 | Building Technologies Office eere.energy.gov How Residential Buildings Fits into BTO Research & Development * Develop technology roadmaps * Prioritize opportunities * Solicit and select innovative technology solutions * Collaborate with researchers

377

Residential Buildings Integration Program  

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

David Lee David Lee Program Manager David.Lee@ee.doe.gov 202-287-1785 April 2, 2013 Residential Buildings Integration Program Building Technologies Office Program Peer Review 2 | Building Technologies Office eere.energy.gov Sub-Programs for Review Better Buildings Neighborhood Program Building America Challenge Home Home Energy Score Home Performance with ENERGY STAR Solar Decathlon 3 | Building Technologies Office eere.energy.gov How Residential Buildings Fits into BTO Research & Development * Develop technology roadmaps * Prioritize opportunities * Solicit and select innovative technology solutions * Collaborate with researchers

378

Average Residential Price  

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

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

379

Firelands Electric Cooperative - Residential Energy Efficiency...  

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

Firelands Electric Cooperative - Residential Energy Efficiency Rebate Program Firelands Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility...

380

American Municipal Power (Public Electric Utilities) - Residential...  

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

American Municipal Power (Public Electric Utilities) - Residential Efficiency Smart Program (Ohio) American Municipal Power (Public Electric Utilities) - Residential Efficiency...

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


381

Southern Pine Electric Power Association - Residential Energy...  

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

Southern Pine Electric Power Association - Residential Energy Efficiency Rebate Program Southern Pine Electric Power Association - Residential Energy Efficiency Rebate Program <...

382

Energy Smart - Residential Energy Efficiency Rebate Program ...  

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

Smart - Residential Energy Efficiency Rebate Program (20 Municipalities) Energy Smart - Residential Energy Efficiency Rebate Program (20 Municipalities) < Back Eligibility...

383

South Alabama Electric Cooperative - Residential Energy Efficiency...  

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

South Alabama Electric Cooperative - Residential Energy Efficiency Loan Program South Alabama Electric Cooperative - Residential Energy Efficiency Loan Program Eligibility...

384

Central Alabama Electric Cooperative - Residential Energy Efficiency...  

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

Central Alabama Electric Cooperative - Residential Energy Efficiency Rebate Program Central Alabama Electric Cooperative - Residential Energy Efficiency Rebate Program Eligibility...

385

Cookeville Electric Department - Residential Energy Efficiency...  

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

Cookeville Electric Department - Residential Energy Efficiency Rebate Program Cookeville Electric Department - Residential Energy Efficiency Rebate Program Eligibility Commercial...

386

Lane Electric Cooperative - Residential and Commercial Weatherization...  

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

and Commercial Weatherization Grant Program Lane Electric Cooperative - Residential and Commercial Weatherization Grant Program Eligibility Commercial Low-Income Residential...

387

Lane Electric Cooperative - Residential Efficiency Rebate Program...  

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

Efficiency Rebate Program Lane Electric Cooperative - Residential Efficiency Rebate Program Eligibility Residential Savings For Appliances & Electronics Home Weatherization...

388

Austin Energy - Residential Energy Efficiency Rebate Program...  

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

Rebate Program Austin Energy - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Home Weatherization Commercial Weatherization Heating & Cooling...

389

Meeting Residential Ventilation Standards Through Dynamic Control...  

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

Meeting Residential Ventilation Standards Through Dynamic Control of Ventilation Systems Title Meeting Residential Ventilation Standards Through Dynamic Control of Ventilation...

390

Maximizing Information from Residential Measurements of Volatile...  

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

Maximizing Information from Residential Measurements of Volatile Organic Compounds Title Maximizing Information from Residential Measurements of Volatile Organic Compounds...

391

Ozark Border Electric Cooperative - Residential Energy Efficiency...  

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

Ozark Border Electric Cooperative - Residential Energy Efficiency Rebate Program Ozark Border Electric Cooperative - Residential Energy Efficiency Rebate Program Eligibility...

392

Central New Mexico Electric Cooperative - Residential Energy...  

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

New Mexico Electric Cooperative - Residential Energy Efficiency Rebate Program Central New Mexico Electric Cooperative - Residential Energy Efficiency Rebate Program Eligibility...

393

Buildings Energy Data Book: 2.2 Residential Sector Characteristics  

Buildings Energy Data Book (EERE)

7 7 Characteristics of a Typical Single-Family Home (1) Year Built | Building Equipment Fuel Age (5) Occupants 3 | Space Heating Natural Gas 12 Floorspace | Water Heating Natural Gas 8 Heated Floorspace (SF) 1,934 | Space Cooling 8 Cooled Floorspace (SF) 1,495 | Garage 2-Car | Stories 1 | Appliances Size Age (5) Foundation Concrete Slab | Refrigerator 19 Cubic Feet 8 Total Rooms (2) 6 | Clothes Dryer Bedrooms 3 | Clothes Washer Other Rooms 3 | Range/Oven Full Bathroom 2 | Microwave Oven Half Bathroom 0 | Dishwasher Windows | Color Televisions 3 Area (3) 222 | Ceiling Fans 3 Number (4) 15 | Computer 2 Type Double-Pane | Printer Insulation: Well or Adequate | Note(s): Source(s): 2-Door Top and Bottom Electric Top-Loading Electric 1) This is a weighted-average house that has combined characteristics of the Nation's stock homes. Although the population of homes with

394

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

9 9 Average Annual Energy Expenditures per Household, by Year ($2010) Year 1980 1,991 1981 1,981 1982 2,058 1983 2,082 1984 2,067 1985 2,012 1986 1,898 1987 1,846 1988 1,849 1989 1,848 1990 1,785 1991 1,784 1992 1,729 1993 1,797 1994 1,772 1995 1,727 1996 1,800 1997 1,761 1998 1,676 1999 1,659 2000 1,824 2001 1,900 2002 1,830 2003 1,978 2004 2,018 2005 2,175 2006 2,184 2007 2,230 2008 2,347 2009 2,173 2010 2,201 2011 2,185 2012 2,123 2013 2,056 2014 2,032 2015 2,030 2016 2,007 2017 1,992 2018 1,982 2019 1,973 2020 1,963 2021 1,961 2022 1,964 2023 1,962 2024 1,959 2025 1,957 2026 1,959 2027 1,960 2028 1,953 2029 1,938 2030 1,932 2031 1,937 2032 1,946 2033 1,956 2034 1,967 2035 1,978 Source(s): Average Expenditure EIA, State Energy Data 2009: Prices and Expenditures, Jun. 2011 for 1980-2009; EIA, Annual Energy Outlook 2012 Early Release, Jan. 2012, Table A2, p. 3-

395

Buildings Energy Data Book: 2.2 Residential Sector Characteristics  

Buildings Energy Data Book (EERE)

8 8 Presence of Air-Conditioning and Type of Heating System in New Single-Family Homes Type of Primary Heating System Warm-Air Hot Water Other or | Furnace Heat Pump or Steam (1) None (2) | 1980 57% 24% 4% 15% | 62% 1981 56% 25% 3% 16% | 65% 1982 53% 26% 4% 17% | 66% 1983 56% 29% 4% 12% | 69% 1984 55% 30% 4% 11% | 71% 1985 54% 30% 5% 11% | 70% 1986 54% 29% 7% 10% | 69% 1987 57% 27% 7% 9% | 71% 1988 60% 26% 7% 8% | 75% 1989 63% 24% 6% 7% | 77% 1990 64% 23% 6% 6% | 76% 1991 65% 22% 6% 7% | 75% 1992 66% 24% 6% 5% | 77% 1993 67% 24% 5% 5% | 78% 1994 67% 24% 5% 4% | 79% 1995 66% 25% 5% 4% | 79% 1996 70% 23% 5% 2% | 81% 1997 70% 23% 5% 2% | 82% 1998 72% 21% 4% 3% | 83% 1999 72% 22% 4% 2% | 84% 2000 71% 23% 4% 2% | 85% 2001 71% 23% 4% 1% | 86% 2002 71% 23% 4% 2% | 87% 2003 71% 24% 3% 2% | 88% 2004 70% 26% 3% 1% | 90% 2005 67% 29% 3% 1% | 89% 2006 63% 33% 3% 2% | 89% 2007 62% 34% 2% 2% | 90% 2008 60% 34% 3% 3% | 89% 2009 56% 37% 3% 4% | 88% 2010 56% 38% 2% 3% | 88% Note(s) Source(s):

396

Buildings Energy Data Book: 2.2 Residential Sector Characteristics  

Buildings Energy Data Book (EERE)

1 1 Total Number of Households and Buildings, Floorspace, and Household Size, by Year 1980 80 N.A. 227 2.9 1981 83 N.A. 229 2.8 1982 84 N.A. 232 2.8 1983 85 N.A. 234 2.8 1984 86 N.A. 236 2.7 1985 88 N.A. 238 2.7 1986 89 N.A. 240 2.7 1987 91 N.A. 242 2.7 1988 92 N.A. 244 2.7 1989 93 N.A. 247 2.6 1990 94 N.A. 250 2.6 1991 95 N.A. 253 2.7 1992 96 N.A. 257 2.7 1993 98 N.A. 260 2.7 1994 99 N.A. 263 2.7 1995 100 N.A. 266 2.7 1996 101 N.A. 269 2.7 1997 102 N.A. 273 2.7 1998 104 N.A. 276 2.7 1999 105 N.A. 279 2.7 2000 106 N.A. 282 2.7 2001 107 2% 285 2.7 2002 105 3% 288 2.7 2003 106 5% 290 2.8 2004 107 7% 293 2.7 2005 109 9% 296 2.7 2006 110 11% 299 2.7 2007 110 12% 302 2.7 2008 111 13% 304 2.8 2009 111 13% 307 2.8 2010 114 14% 310 2.7 2011 115 14% 313 2.7 2012 116 15% 316 2.7 2013 117 16% 319 2.7 2014 118 17% 322 2.7 2015 119 18% 326 2.7 2016 120 19% 329 2.7 2017 122 21% 332 2.7 2018 123 22% 335 2.7 2019 125 23% 338 2.7 2020 126 25% 341 2.7 2021 127 26% 345

397

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

customer groups. While the cost per kWh for each respectivewith the average cost declines, per kWh for average andcost of doing so would be zero (prior to 2011), or small, on the order of 5 cents per kWh (

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

398

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

of window) Heating Cooling Conduction Solar Total Conductionsolarload = heating or cooling load from solar gain throughsolar usability to account for its deacreasing effectiveness to offset heating

Wenzel, T.P.

2010-01-01T23:59:59.000Z

399

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

Energy Rating System (HERS) may provide such actionable market information.market is administered by the Western Region Renewable Energy Generation Information

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

400

ENERGY DATA SOURCEBOOK FOR THE U.S. RESIDENTIAL SECTOR  

E-Print Network (OSTI)

of the Market Technologies Assessment Group in the Energy Analysis Program at LBNL for their time spent. Koomey, Gregory J. Rosenquist, Marla Sanchez, and James W. Hanford September 1997 Energy Analysis Program these input data into a single location. The data provided include information on end-use unit energy

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


401

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

actual solar radiation and other necessary weather dataSolar 71 Table 5.2. 10x10km Weathersolar energy is actually generated; this makes intuitive sense as edge effects such as shading and weather

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

402

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

USE DATA 10.1. Baseline Lighting Usage 10.2. Distribution of1996), which monitored lighting usage using light loggersreplacements. Baseline Lighting Usage We divide the current

Wenzel, T.P.

2010-01-01T23:59:59.000Z

403

Modeling diffusion of electrical appliances in the residential sector  

E-Print Network (OSTI)

and usage patterns, and because data sources covering these parameters are more scarce, modeling of household lighting

McNeil, Michael A.

2010-01-01T23:59:59.000Z

404

Building Integrated Photovoltaics (BIPV) in the Residential Sector...  

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

For more than 30 years, there have been strong efforts to accelerate the deployment of solar- electric systems by developing photovoltaic (PV) products that are fully integrated...

405

Buildings Energy Data Book: 2.2 Residential Sector Characteristics  

Buildings Energy Data Book (EERE)

| 3,680 1,047 1,425 111.1 2,838 941 1,062 Note(s): Source(s): Total U.S. Homes (millions) U.S. Average 1) Average home sizes include both heated and unheated floor space, including...

406

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

typical new buildings is even more difficult than for existing buildings since there are few data on the energy usage

Wenzel, T.P.

2010-01-01T23:59:59.000Z

407

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

Appliances and Space Conditioning Equipment. Arthur D.Efficiency standards for space conditioning equipment wereprogram estimates of space conditioning energy use and

Wenzel, T.P.

2010-01-01T23:59:59.000Z

408

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

Energy and Buildings Herring, H. and R. Roy (2007). "quality of energy service (Herring and Roy 2007: 195). TheEkins et al. 2007: 4935-36; Herring and Roy 2007: 196). As

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

409

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

respond to having a rooftop solar system. There is a robustindustry, since a small rooftop solar system can producecompliance. 27 . Each kW of rooftop solar capacity produces

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

410

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

Data, Washington, DC: Energy Information Administration.Model Documentation, Washington, DC: Energy InformationData, Washington, DC: Energy Information Administration.

Wenzel, T.P.

2010-01-01T23:59:59.000Z

411

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

of offering NEM for biogas-electric systems and fuel cells.but AB 2228 (2002) allowed biogas-electric facilities up to

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

412

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

referents (MPRs) for non-renewable energy that serve asPolicies to promote non-hydro renewable energy in the United

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

413

Modeling diffusion of electrical appliances in the residential sector  

E-Print Network (OSTI)

Henderson (2005). Home air conditioning in Europe how muchA. Pavlova (2003). "Air conditioning market saturation andevidence suggests that air conditioning could be quite an

McNeil, Michael A.

2010-01-01T23:59:59.000Z

414

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

IL: AHAM. The Air Conditioning, Heating and RefrigerationArlington, VA: ARI. ARI, Air-Conditioning and RefrigerationRefrigeration, and Air-conditioning Engineers (ASHRAE).

Wenzel, T.P.

2010-01-01T23:59:59.000Z

415

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

Energy kWh/cycle Total Energy Annual Usage kWh/yr Motor +Energy kWh/cycle Total Energy Annual Usage kWb/yr Motortotal incandescent lighting energy consumption attributable to each usage

Wenzel, T.P.

2010-01-01T23:59:59.000Z

416

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

10 1.5. The Coordination of Solar and Energyintegration of solar and energy efficiency. Currentlytension between solar and energy efficiency remains much

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

417

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

meteorological year (TMY) solar radiation data. The goaleither TMY or actual solar radiation data, and thus servesmodeling (using actual solar radiation data, though this

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

418

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

capture such savings: the solar provider has unique pricingscale solar industry. Solar providers will need both to

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

419

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

Heating Equipment, Mobile Home Furnaces, Kitchen Ranges and Ovens,oven only range only GDR all gas dryers Gas Dryer cycle data only Gas HeatingHeating Waterbed Heaters Automatic Drip Coffeemaker Crankcase Heater Iron Spa/Hot Tub Electric Blankets Toaster Hair Dryer Toaster Oven

Wenzel, T.P.

2010-01-01T23:59:59.000Z

420

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

U.S. energy-related carbon-dioxide emissions, including both direct fuel consumption (primarily natural gas)

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

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


421

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

in RECS with utility sub-metering data have found that RECSof sources, including sub-metering of individual appliances,sources including sub-metering of individual appliances,

Wenzel, T.P.

2010-01-01T23:59:59.000Z

422

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

South Gas LPG Oil Electricity Source: US DOE 1995 forLPG -- FRN RM - Oil - OTH Other Source: US DOE 1995b. OilLPG H20 FRN - Oil RM OTH Other Source: US DOE 1995b. Oil

Wenzel, T.P.

2010-01-01T23:59:59.000Z

423

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

of stocks, UECs, and national energy consumption for theseSanchez 1997). National energy consumption of these end-usesUECs, and National Energy Consumption of Miscellaneous

Wenzel, T.P.

2010-01-01T23:59:59.000Z

424

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

classes of new appliances; and a large database of stockrecords for those appliances in the database. UECs for otheron the UEC database. For new appliances entering the market,

Wenzel, T.P.

2010-01-01T23:59:59.000Z

425

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

project with both efficiency and solar may be the optimal solution for some customersand the one that costs

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

426

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

was largely overcome, and PV prices globally had begun toNemet 2006; Nemet 2007). PV price reduction is one of theand indeed the global price of PV modules is a central part

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

427

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

Renewable portfolio standards and cost-effective energy-for low-cost financing for renewable energy and energycost of renewable onsite generation systems and energy

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

428

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

renewable energy; and calculating market price referents (Market price referent Net excess generation Net energy

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

429

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

non-low- income electricity bill, according to specificsto offset any future electricity bills. All systems withinunderstand their electricity bills, even if early adopters

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

430

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

Market Shares 6.5. Standards 7. DISHWASHER END-USE DATA 7.1.Dishwasher UECs 7.2.Dishwasher Usage 7.3. Dishwasher Technology Data 7.4. Market

Wenzel, T.P.

2010-01-01T23:59:59.000Z

431

Greening the Residential Sector: Efforts to Transform the Homebuilding...  

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

with EETD scientists on cooperative research? Get a job in EETD? Make my home more energy-efficient? Find a source within EETD for a news story I'm writing, shooting, or...

432

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

fit gives R- squared of 0.983. Standby losses (usage at zerowater in the tank); and standby losses (the constant lossesof hot water delivered + Standby losses) Total energy used

Wenzel, T.P.

2010-01-01T23:59:59.000Z

433

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

kerosene. Other heating fuel is primarily wood. H20 = steamkerosene. Other heating fuel is primarily wood. H20 = steamkerosene. Other heating fuel is primarily wood. FRN =

Wenzel, T.P.

2010-01-01T23:59:59.000Z

434

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

West National Space Heating 1,050 721 371 352 575 Air-Conditioning 199 175 456 262 311 Water Heating 373 294 313 318 320 Refrigerators 194 145 146 154 157 Other Appliances and...

435

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

appliance hot water usage and electric heating UECs. The hotElectricity Usage, prepared for Virginia Electric Power Co.hot water usage of the dishwasher, calculated using electric

Wenzel, T.P.

2010-01-01T23:59:59.000Z

436

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

terms of age, building size, and insulation levels, we alsoshowed that insulation levels for pre-1980 buildings werebuildings, based on combinations of roof and wall insulation

Wenzel, T.P.

2010-01-01T23:59:59.000Z

437

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

energy consumption (UECs) of appliances and equipment; Historical and current appliance and equipment market shares; Appliance and equipment efficiency and sales trends;energy consumption (UEC) values of appliances and equipment; historical and current appliance and equipment market shares; appliance and equipment efficiency and sales trends;

Wenzel, T.P.

2010-01-01T23:59:59.000Z

438

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

impact of rate design and net metering on the bill savingsJ. , K. Fox, et al. (2009). Net Metering & Interconnectionsmetering (NEM, or net metering), to which we turn next. By

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

439

Table 2.1b Residential Sector Energy Consumption Estimates ...  

U.S. Energy Information Administration (EIA)

R=Revised. P=Preliminary. NA=Not available. 4 Based on petroleum product supplied. For petroleum, product supplied is used as an approximation of

440

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

installation Total Electricity Consumption 1 Year Pre & PostGWh total Total Electricity Consumption 1 Year Pre & 2 YearsInstall Total Electricity Consumption 1 Year Pre & 3 Years

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

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


441

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

an Energy-Efficient Economy. Hanford, J.W. and Y . J. Huang.Laboratory. LBL-33101. Hanford, J.W. , J.G. Koomey, L.E.97. Ritschard, R. L. , J.W. Hanford, and A.O. Sezgen. 1992a.

Wenzel, T.P.

2010-01-01T23:59:59.000Z

442

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

59. City of San Diego and California Center for SustainablePOLICIES AND FUNDING FOR THE CALIFORNIA SOLAR INITIATIVE.San Francisco, California Public Utilities Commission: 44.

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

443

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

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2007 Residential Demand Module Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" by appliance (or UEC-in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new

444

Village of Lodi, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Lodi Village of Lodi Village of Place Ohio Utility Id 11126 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes ISO MISO Yes Operates Generating Plant Yes Activity Generation Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Large Power Rate Commercial Commercial Large Power Rate-In Village Discount Commercial Commercial Single Phase Load Management Rate Commercial Commercial Single Phase Load Management Rate-In Village Discount Commercial Commercial Three Phase Load Management Rate-In Village Discount Commercial Commercial Three Phase Phase Load Management Rate Commercial

445

Alaska Native Village Energy Development Workshop POSTPONED | Department of  

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

Alaska Native Village Energy Development Workshop POSTPONED Alaska Native Village Energy Development Workshop POSTPONED Alaska Native Village Energy Development Workshop POSTPONED October 21, 2013 8:00AM AKDT to October 23, 2013 5:00PM AKDT Fairbanks, Alaska NOTICE: WORKSHOP POSTPONED ******************************************************************* The DOE Office of Indian Energy and the Office of Energy Efficiency and Renewable Energy Tribal Energy Program regret to inform you that, due to the partial shutdown of the federal government, we had to postpone the Alaska Native Village Energy Development Workshop scheduled for October 21-23. We apologize for any inconvenience this postponement has created. The Department is committed to working with Alaska Native villages, corporations, and organizations to promote the development of clean energy

446

Figure 7. U.S. dry natural gas consumption by sector, 2005-2040 ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 7. U.S. dry natural gas consumption by sector, 2005-2040 (trllion cubic feet) Residential Commercial Transportation Gas to liquids

447

Sector 7  

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

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

448

Sector 7  

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

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

449

Photovoltaics for residential applications  

DOE Green Energy (OSTI)

Information is given about the parts of a residential photovoltaic system and considerations relevant to photovoltaic power use in homes that are also tied to utility lines. In addition, factors are discussed that influence implementation, including legal and environmental factors such as solar access and building codes, insurance, utility buyback, and system longevity. (LEW)

Not Available

1984-02-01T23:59:59.000Z

450

History of Residential Grounding  

Science Conference Proceedings (OSTI)

This report describes the development of residential electrical service grounding practices in the United States. The report focuses on the history of the National Electrical Code (NEC), which prescribes standards for wiring practices in residences, including grounding of the building electrical service.

2002-09-19T23:59:59.000Z

451

Assumptions to the Annual Energy Outlook 1999 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

residential.gif (5487 bytes) residential.gif (5487 bytes) The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions. The Residential Demand Module also requires projections of available equipment over the forecast horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the forecast horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

452

Genesis and legacy : a study of traditional, contemporary and proposed systems of control over residential developments in Cairo, Egypt  

E-Print Network (OSTI)

This thesis deals with contemporary residential developments presently being carried out by the formal private sector in Cairo. These developments are typical of many other cities in Egypt, and indeed throughout the ...

El-Husseiny, Mohamed A. (Mohamed Ahmed)

1987-01-01T23:59:59.000Z

453

Can passive solar technology help meet African village energy needs  

SciTech Connect

Findings based on attempts to implement renewable energy in African villages over the last three years are presented. Specifically, village energy needs are identified and passive solar technologies are matched with each need. This needs/technology matching process is dominated by social, economic and cultural considerations. It is shown how the technology can only have significance when adapted to particular village settings and when it is understood within the cultural framework of the people. The resources available to most African villages are sunlight, mud, dung, thatch and person power. Villagers must be trained to make solar units such as solar ovens, passive air heaters, food dryers, water heaters, passive coolers and insulation out of these materials and some imported glass or fiberglass. These solar units must cost less than ten or fifteen dollars. Experiences in training, construction, performance and village acceptance are presented along with justification for the conclusion that passive solar technology has limited, but important, applications in improving living conditions and health standards in African villages.

Lillywhite, M.; Lillywhite, L.

1980-01-01T23:59:59.000Z

454

Analysis of institutional mechanisms affecting residential and commercial buildings retrofit  

SciTech Connect

Barriers to energy conservation in the residential and commercial sectors influence (1) the willingness of building occupants to modify their energy usage habits, and (2) the willingness of building owners/occupants to upgrade the thermal characteristics of the structures within which they live or work and the appliances which they use. The barriers that influence the willingness of building owners/occupants to modify the thermal efficiency characteristics of building structures and heating/cooling systems are discussed. This focus is further narrowed to include only those barriers that impede modifications to existing buildings, i.e., energy conservation retrofit activity. Eight barriers selected for their suitability for Federal action in the residential and commercial sectors and examined are: fuel pricing policies that in the short term do not provide enough incentive to invest in energy conservation; high finance cost; inability to evaluate contractor performance; inability to evaluate retrofit products; lack of well-integrated or one-stop marketing systems (referred to as lack of delivery systems); lack of precise or customized information; lack of sociological/psychological incentives; and use of the first-cost decision criterion (expanded to include short-term payback criterion for the commercial sector). The impacts of these barriers on energy conservation are separately assessed for the residential and commercial sectors.

1980-09-01T23:59:59.000Z

455

Fuel choice and aggregate energy demand in the commercial sector  

SciTech Connect

This report presents a fuel choice and aggregate-demand model of energy use in the commercial sector of the United States. The model structure is dynamic with short-run fuel-price responses estimated to be close to those of the residential sector. Of the three fuels analyzed, electricity consumption exhibits a greater response to its own price than either natural gas or fuel oil. In addition, electricity price increases have the largest effect on end-use energy conservation in the commercial sector. An improved commercial energy-use data base is developed which removes the residential portion of electricity and natural gas use that traditional energy-consumption data sources assign to the commercial sector. In addition, household and commercial petroleum use is differentiated on a state-by-state basis.

Cohn, S.

1978-12-01T23:59:59.000Z

456

Evaluation of advanced technologies for residential appliances and residential and commercial lighting  

SciTech Connect

Section 127 of the Energy Policy Act requires that the Department of Energy (DOE) prepare a report to Congress on the potential for the development and commercialization of appliances that substantially exceed the present federal or state efficiency standards. Candidate high-efficiency appliances must meet several criteria including: the potential exists for substantial improvement (beyond the minimum established in law) of the appliance`s energy efficiency; electric, water, or gas utilities are prepared to support and promote the commercialization of such appliances; manufacturers are unlikely to undertake development and commercialization of such appliances on their own, or development and production would be substantially accelerated by support to manufacturers. This report describes options to improve the efficiency of residential appliances, including water heaters, clothes washers and dryers, refrigerator/freezers, dishwashers, space heating and cooling devices, as well as residential and commercial lighting products. Data from this report (particularly Appendix 1)were used to prepare the report to Congress mentioned previously. For the residential sector, national energy savings are calculated using the LBL Residential Energy Model. This model projects the number of households and appliance saturations over time. First, end-use consumption is calculated for a base case where models that only meet the standard replace existing models as these reach the end of their lifetime. Second, models with efficiencies equal to the technology under consideration replace existing models that reach the end of their lifetime. For the commercial sector, the COMMEND model was utilized to project national energy savings from new technologies. In this report, energy savings are shown for the period 1988 to 2015.

Turiel, I.; Atkinson, B.; Boghosian, S.; Chan, P.; Jennings, J.; Lutz, J.; McMahon, J.; Rosenquist, G.

1995-01-01T23:59:59.000Z

457

Atmos Energy - Residential Natural Gas and Weatherization Efficiency...  

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

Atmos Energy - Residential Natural Gas and Weatherization Efficiency Program Atmos Energy - Residential Natural Gas and Weatherization Efficiency Program Eligibility Residential...

458

CenterPoint Energy (Gas) - Residential Efficiency Rebates (Oklahoma...  

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

Residential Efficiency Rebates (Oklahoma) CenterPoint Energy (Gas) - Residential Efficiency Rebates (Oklahoma) Eligibility Residential Savings For Heating & Cooling Commercial...

459

Central Georgia EMC - Residential Energy Efficiency Rebate Program...  

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

Residential Energy Efficiency Rebate Program Central Georgia EMC - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Home Weatherization Commercial...

460

MidAmerican Energy (Electric) - Residential Energy Efficiency...  

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

Electric) - Residential Energy Efficiency Rebate Programs MidAmerican Energy (Electric) - Residential Energy Efficiency Rebate Programs < Back Eligibility Residential Savings...

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


461

Average Residential Price  

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

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

462

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

463

Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

This chart highlights residential heating oil prices for the current and This chart highlights residential heating oil prices for the current and past heating season. As you can see, prices have started the heating season, about 40 to 50 cents per gallon higher than last year at this time. The data presented are from EIA's State Heating Oil and Propane Program. We normally collect and publish this data twice a month, but given the low stocks and high prices, we started tracking the prices weekly. These data will also be used to determine the price trigger mechanism for the Northeast Heating Oil Reserve. The data are published at a State and regional level on our web site. The slide is to give you some perspective of what is happening in these markets, since you probably will get a number of calls from local residents about their heating fuels bills

464

Residential Energy Audits  

E-Print Network (OSTI)

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 the RCS program is considered very successful; however, the majority of utilities have found that the costs far exceed the benefits. Typically, the response rates are low (less than 1% per year for Texas utilities), the audits primarily reach upper income persons, and consumers only implement the low-cost recommendations. The Texas PUC is on record as being opposed to the RCS as well as the Commercial and Apartment Conservation Service (CACS) and now requires Energy Efficiency Plans with detailed cost and savings information on utility end user programs.

Brown, W.

1985-01-01T23:59:59.000Z

465

Detailed residential electric determination  

DOE Green Energy (OSTI)

Data on residential loads has been collected from four residences in real time. The data, measured at 5-second intervals for 53 days of continuous operation, were statistically characterized. An algorithm was developed and incorporated into the modeling code SOLCEL. Performance simulations with SOLCEL using these data as well as previous data collected over longer time intervals indicate that no significant errors in system value are introduced through the use of long-term average data.

Not Available

1984-06-01T23:59:59.000Z

466

Residential Programmable Communicating Thermostats  

Science Conference Proceedings (OSTI)

Residential programmable communicating thermostats (PCTs) enable demand response and offer a convenient energy management option for the consumer. PCTs allow customers to program and control temperature set-points remotely, primarily through the Internet. Additionally, some of these thermostats can be remotely controlled by utilities or third parties to curtail heating and cooling loads during periods of peak electricity demand. This Technology Brief, prepared for the Energy Efficiency Initiative, presen...

2007-12-05T23:59:59.000Z

467

Residential Energy Display Devices  

Science Conference Proceedings (OSTI)

Residential energy display devices provide direct feedback to consumers about their electricity use and cost, direct feedback that potentially can help customers manage electricity consumption. EPRI tested five different stand-alone display devices in its Energy Efficiency and Demand Response Living Laboratory to assess whether devices functioned according to manufacturer specifications. In addition to providing results of these tests, this Technology Brief describes how display devices operate, summariz...

2008-06-20T23:59:59.000Z

468

OG&E - Residential Energy Efficiency Program | Department of...  

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

OG&E - Residential Energy Efficiency Program OG&E - Residential Energy Efficiency Program Eligibility Low-Income Residential Residential Savings For Heating & Cooling Commercial...

469

Village of Versailles, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Versailles, Ohio (Utility Company) Versailles, Ohio (Utility Company) Jump to: navigation, search Name Village of Versailles Place Ohio Utility Id 19805 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes RTO PJM Yes Activity Buying Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Demand (High Load Factor)-Inside village limits -Primary Metering Adjustment Commercial Commercial Demand (High Load Factor)-Inside village limits Commercial Commercial Demand (High Load Factor)-Outside village limits -Primary metering adjustment Commercial

470

Village adoption scheme : a model for rural development  

E-Print Network (OSTI)

The study describes a "Village Adoption Scheme" as a model for energising the rural economy in India and to slow down rural - urban migration which research has shown to be harmful to both; rural and urban people of India ...

Nanavati, Shahid Sadruddin, 1961-

2004-01-01T23:59:59.000Z

471

DOE Alaska Native Village Renewable Energy Workshop Agenda  

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

Download the agenda for the DOE Alaska Native Village Renewable Energy Workshop entitled "Renewable Energy and Energy Efficiency for Alaska Native Community Development" being held October 16-17,...

472

The blacksburg electronic village: a study in community computing  

Science Conference Proceedings (OSTI)

This paper discusses the development of Blacksburg Electronic Village, and several of the ICT projects for local development. The stake-holders and their interests are analyzed, as well as the results, dilemmas and prospects.

John M. Carroll

2003-09-01T23:59:59.000Z

473

It Takes a Village: Students as a Catalyst for Conservation  

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

It Takes a Village: Students as a Catalyst for Conservation Speaker(s): Julie Osborn Date: January 23, 2006 - 12:00pm Location: 90-3122 Successful conservation projects must...

474

Alaska village demonstration projects. Report to the Congress  

SciTech Connect

The Alaska Village Demonstration Projects (AVDP) were authorized by Section 113, P.L. 92-500 (86 STAT 816), for the purpose of demonstrating methods to improve sanitary conditions in native villages of Alaska. Central community facilities have been constructed in the native villages of Emmonak and Wainwright to provide a safe water supply; toilets, bathing, and laundry facilities; and sewage and solid waste disposal. Although there has not been enough time to allow full operation and evaluation of these facilities, it is apparent that the technology is available to provide these basic utility services to the demonstration villages. A major issue still to be addressed is the lack of clear responsibility for the operation and maintenance of the facilities after the Environmental Protection Agency demonstration program is completed. Adequate local resources to operate the installations are lacking. Continued experience with the AVDP is needed to complete evaluation and develop recommendations in relation to the establishment of a statewide program.

1973-07-01T23:59:59.000Z

475

International diffusion practice : lessons from South Korea's New Village Movement  

E-Print Network (OSTI)

This research focuses on how South Korea's development model-namely, the Saemaul Undong, or the New Village Movement-is diffused internationally, in particular, to the developing country of Vietnam. South Korea's successful ...

Kim, Jung Hwa, M.C.P. Massachusetts Institute of Technology

2013-01-01T23:59:59.000Z

476

Sector 30 - useful links  

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

Useful Links Sector 30 Sector Orientation Form HERIX experiment header for lab book MERIX experiment header for lab book Printing from your laptop at the beamline Other IXS sectors...

477

Building Technologies Office: About Residential Building Programs  

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

About Residential About Residential Building Programs to someone by E-mail Share Building Technologies Office: About Residential Building Programs on Facebook Tweet about Building Technologies Office: About Residential Building Programs on Twitter Bookmark Building Technologies Office: About Residential Building Programs on Google Bookmark Building Technologies Office: About Residential Building Programs on Delicious Rank Building Technologies Office: About Residential Building Programs on Digg Find More places to share Building Technologies Office: About Residential Building Programs on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Technology Research, Standards, & Codes Popular Residential Links Success Stories Previous Next Warming Up to Pump Heat.

478

Village of Riverton, Illinois (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Riverton Riverton Place Illinois Utility Id 16092 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes Activity Buying Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial and Governmental: Inside or outside corporate limits of Riverton Commercial Industrial and Railroad Service Industrial Residential- Inside corporate limits of Riverton Residential Residential: Outside corporate limits of Riverton Residential Senior Citizens: inside corporate limits of Riverton only Residential Average Rates Residential: $0.1120/kWh

479

Electricity Supply Sector  

U.S. Energy Information Administration (EIA)

Electricity Supply Sector Part 1 of 6 Supporting Documents Sector-Specific Issues and Reporting Methodologies Supporting the General Guidelines for the Voluntary

480

Residential Price - Local Distribution Companies  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per ...

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


481

2001 Residential Energy Consumption Survey  

U.S. Energy Information Administration (EIA)

Residential Energy Consumption Survey ... Office of Management and Budget, Washington, DC 20503. Form EIA-457A (2001) Form Approval: OMB No. 1905-0092 ...

482

RESIDENTIAL ENERGY CONSUMPTION SURVEY 1997  

U.S. Energy Information Administration (EIA)

RESIDENTIAL ENERGY CONSUMPTION SURVEY 1997. OVERVIEW: MOST POPULOUS STATES ... Homes with air-conditioning: 95%... with a central air-conditioning system: 83%

483

Residential ventilation standards scoping study  

E-Print Network (OSTI)

of new residences. The Hawaii Model Energy Code (HMEC) is aHawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Residential Energy Code

McKone, Thomas E.; Sherman, Max H.

2003-01-01T23:59:59.000Z

484

Natural Gas Residential Choice Programs  

U.S. Energy Information Administration (EIA)

Status of Natural Gas Residential Choice Programs by State as of December 2008 (Click on a State or its abbreviation for more information about that ...

485

Retrofit of Existing Residential Building: a Case Study  

E-Print Network (OSTI)

There are about 42 billion square meters of existing buildings in China. The energy efficiency of existing buildings directly relates to the energy consumption of the building sector. The retrofit of existing residential building began in the 1990s in Heilongjiang. The Sino-Canada demonstration project and Sino-France demonstration project of retrofitting existing residential buildings were carried out in 1997 and 2004, respectively. The retrofit method and energy conservation potential of the envelope and heating system of northern existing buildings are analyzed in this paper, combining the experiences of retrofitting existing residential buildings in Heilongjiang. The software was compiled to aid the design of the envelope retrofit in Heilongjiang and to analyze the working situation in existing residential building heating systems. The imbalance of the indoor temperature and the quantity of heating loss from opening the window in different retrofit projects are presented. The emphasis on energy efficiency retrofit of the envelope of existing residential buildings should be placed on the wall in northern region. It is possible to reduce about 50 percent of energy consumption of buildings by insulating the wall. The external insulation is suitable for retrofitting existing buildings, and the moisture transfer should be considered at the same time. To insure actual reduction in energy consumption, the heating system should be retrofitted when the envelope is insulated.

Zhao, L.; Xu, W.; Li, L.; Gao, G.

2006-01-01T23:59:59.000Z

486

Property For Homeowners- Residential  

E-Print Network (OSTI)

Targets improvements on certain types of property that will save energy when compared to the property which they replaced. Provides for a uniform credit of 30 percent of the cost of qualifying improvements. Cap for all tax years is now $1,500, three times the prior legislation provided. Temporarily can rely on existing manufacturer certifications or appropriate Energy Star labels for purchasing qualified products. For Homeowners- Expanded Energy Efficient Property Tax Credit for Residences Residential energy efficient property credit has expanded to include more alternate energy equipment.

Tom Sheaffer; Stakeholder Liaison; New Clean Renewable Energy Bonds

2009-01-01T23:59:59.000Z

487

ASHRAE and residential ventilation  

SciTech Connect

In the last quarter of a century, the western world has become increasingly aware of environmental threats to health and safety. During this period, people psychologically retreated away from outdoors hazards such as pesticides, smog, lead, oil spills, and dioxin to the seeming security of their homes. However, the indoor environment may not be healthier than the outdoor environment, as has become more apparent over the past few years with issues such as mold, formaldehyde, and sick-building syndrome. While the built human environment has changed substantially over the past 10,000 years, human biology has not; poor indoor air quality creates health risks and can be uncomfortable. The human race has found, over time, that it is essential to manage the indoor environments of their homes. ASHRAE has long been in the business of ventilation, but most of the focus of that effort has been in the area of commercial and institutional buildings. Residential ventilation was traditionally not a major concern because it was felt that, between operable windows and envelope leakage, people were getting enough outside air in their homes. In the quarter of a century since the first oil shock, houses have gotten much more energy efficient. At the same time, the kinds of materials and functions in houses changed in character in response to people's needs. People became more environmentally conscious and aware not only about the resources they were consuming but about the environment in which they lived. All of these factors contributed to an increasing level of public concern about residential indoor air quality and ventilation. Where once there was an easy feeling about the residential indoor environment, there is now a desire to define levels of acceptability and performance. Many institutions--both public and private--have interests in Indoor Air Quality (IAQ), but ASHRAE, as the professional society that has had ventilation as part of its mission for over 100 years, is the logical place to provide leadership. This leadership has been demonstrated most recently by the publication of the first nationally recognized standard on ventilation in homes, ASHRAE Standard 62.2-2003, which builds on work that has been part of ASHRAE for many years and will presumably continue. Homeowners and occupants, which includes virtually all of us, will benefit from the application of Standard 62.2 and use of the top ten list. This activity is exactly the kind of benefit to society that the founders of ASHRAE envisioned and is consistent with ASHRAE's mission and vision. ASHRAE members should be proud of their Society for taking leadership in residential ventilation.

Sherman, Max H.

2003-10-01T23:59:59.000Z

488

Transforming the market for residential windows: design considerations for DOE's Efficient Window Collaborative  

SciTech Connect

Market adoption of recent, commercially available technological advances that improve the energy performance of windows will lead to immediate economic and energy savings benefits to the nation. This paper is a scoping study intended to inform the design of a major DOE initiative to accelerate market adoption of these windows in the residential sector. We describe the structure of the US residential window market and the interests of the various market players. We then briefly review five recent market transformation initiatives. Finally, we summarize our findings in a list of considerations we believe will be important for the DOE's initiative to transform the US residential window market.

Eto, J.; Arasteh, D.; Selkowitz, S.

1998-08-01T23:59:59.000Z

489

Residential energy use in Mexico: Structure, evolution, environmental impacts, and savings potential  

SciTech Connect

This article examines the characteristics of residential energy use in Mexico, its environmental impacts, and the savings potential of the major end-uses. The main options and barriers to increase the efficiency of energy use are discussed. The energy analysis is based on a disaggregation of residential energy use by end-uses. The dynamics of the evolution of the residential energy sector during the past 20 years are also addressed when the information is available. Major areas for research and for innovative decision-making are identified and prioritized.

Masera, O.; Friedmann, R.; deBuen, O.

1993-05-01T23:59:59.000Z

490

Evaluation of evolving residential electricity tariffs  

E-Print Network (OSTI)

evolving residential electricity tariffs Judy Lai, Nicholasevolving residential electricity tariffs Judy Lai Seniortariffs and explanation of baseline Until the middle of 2001, PG&E employed a two-tiered pricing structure for residential electricity

Lai, Judy

2011-01-01T23:59:59.000Z

491

Financing Non-Residential Photovoltaic Projects: Options and Implications  

Science Conference Proceedings (OSTI)

Installations of grid-connected photovoltaic (PV) systems in the United States have increased dramatically in recent years, growing from less than 20 MW in 2000 to nearly 500 MW at the end of 2007, a compound average annual growth rate of 59%. Of particular note is the increasing contribution of 'non-residential' grid-connected PV systems--defined here as those systems installed on the customer (rather than utility) side of the meter at commercial, institutional, non-profit, or governmental properties--to the overall growth trend. Although there is some uncertainty in the numbers, non-residential PV capacity grew from less than half of aggregate annual capacity installations in 2000-2002 to nearly two-thirds in 2007. This relative growth trend is expected to have continued through 2008. The non-residential sector's commanding lead in terms of installed capacity in recent years primarily reflects two important differences between the non-residential and residential markets: (1) the greater federal 'Tax Benefits'--including the 30% investment tax credit (ITC) and accelerated tax depreciation--provided to commercial (relative to residential) PV systems, at least historically (this relative tax advantage has largely disappeared starting in 2009) and (2) larger non-residential project size. These two attributes have attracted to the market a number of institutional investors (referred to in this report as 'Tax Investors') seeking to invest in PV projects primarily to capture their Tax Benefits. The presence of these Tax Investors, in turn, has fostered a variety of innovative approaches to financing non-residential PV systems. This financial innovation--which is the topic of this report--has helped to overcome some of the largest barriers to the adoption of non-residential PV, and is therefore partly responsible (along with the policy changes that have driven this innovation) for the rapid growth in the market seen in recent years.ii Specifically, due to financial innovation, non-residential entities interested in PV no longer face prohibitively high up-front costs, no longer need to be able to absorb Tax Benefits in order to make the economics pencil out, no longer need to be able to operate and maintain the system, and no longer need to accept the risk that the system does not perform as expected.

Bolinger, Mark

2009-01-09T23:59:59.000Z

492

Residential Energy Consumption Survey:  

Gasoline and Diesel Fuel Update (EIA)

E/EIA-0262/2 E/EIA-0262/2 Residential Energy Consumption Survey: 1978-1980 Consumption and Expenditures Part II: Regional Data May 1981 U.S. Department of Energy Energy Information Administration Assistant Administrator for Program Development Office of the Consumption Data System Residential and Commercial Data Systems Division -T8-aa * N uojssaooy 'SOS^-m (£03) ao£ 5925 'uofSfAfQ s^onpojj aa^ndmoo - aojAaag T BU T3gN am rcoj? aig^IT^^ '(adBx Q-naugBH) TOO/T8-JQ/30Q 30^703 OQ ' d jo :moaj ajqBfT^A^ 3J^ sjaodaa aAoqe aqa jo 's-TZTOO-eoo-Tgo 'ON ^ois odo 'g^zo-via/aoQ 'TBST Sujpjjng rXaAang uojidmnsuoo XSaaug sSu-ppjprig ON ^oo^s OdO '^/ZOZO-Via/aOQ *086T aunr '6L6I ?sn§ny og aunf ' jo suja^Bd uoj^dmnsuoo :XaAjng uo^^dmnsuoQ XSaaug OS '9$ '6-ieTOO- 00-T90 OdD 'S/ZOZO-Via/aOa C

493

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

Science Conference Proceedings (OSTI)

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

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

2011-09-01T23:59:59.000Z

494

Building Technologies Office: Residential Building Activities  

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

Residential Building Residential Building Activities to someone by E-mail Share Building Technologies Office: Residential Building Activities on Facebook Tweet about Building Technologies Office: Residential Building Activities on Twitter Bookmark Building Technologies Office: Residential Building Activities on Google Bookmark Building Technologies Office: Residential Building Activities on Delicious Rank Building Technologies Office: Residential Building Activities on Digg Find More places to share Building Technologies Office: Residential Building Activities on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Home Performance with ENERGY STAR Better Buildings Neighborhood Program Challenge Home Guidelines for Home Energy Professionals

495

NREL: Energy Systems Integration - Residential and Commercial...  

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

Residential and Commercial Integration Energy systems integration R&D at the small-scale, residential and commercial integration level encompasses diverse technologies such as...

496

Cedarburg Light & Water Utility - Residential Energy Efficiency...  

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

Cedarburg Light & Water Utility - Residential Energy Efficiency Rebate Program Cedarburg Light & Water Utility - Residential Energy Efficiency Rebate Program Eligibility Low-Income...

497

Minnesota Energy Resources (Gas) - Residential Energy Efficiency...  

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

Agencies You are here Home Savings Minnesota Energy Resources (Gas) - Residential Energy Efficiency Rebate Program Minnesota Energy Resources (Gas) - Residential Energy...

498

Better Buildings Neighborhood Program: Better Buildings Residential...  

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

Better Buildings Residential Network to someone by E-mail Share Better Buildings Neighborhood Program: Better Buildings Residential Network on Facebook Tweet about Better Buildings...

499

CONTAM Libraries - Appendix C2: Miscellaneous Residential ...  

Science Conference Proceedings (OSTI)

... item, C2. CPEN_RAV, Residential, HVAC ceiling penetration, typical value, ELA4, 5 cm 2 /item, C2. CPEN_RMN, Residential, ...

500

Peak Electricity Impacts of Residential Water Use  

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

Peak Electricity Impacts of Residential Water Use Title Peak Electricity Impacts of Residential Water Use Publication Type Report LBNL Report Number LBNL-5736E Year of Publication...