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1

Key Assumptions Policy Issues  

E-Print Network [OSTI]

11/13/2014 1 Key Assumptions and Policy Issues RAAC Steering Committee November 17, 2014 Portland Supply Limitations 8 Withi h B l i8. Within-hour Balancing 9. Capacity and Energy Values for Wind/Solar t b it d d li d· Thermal: must be sited and licensed · Wind/solar: must be sited and licensed · EE

2

NGNP: High Temperature Gas-Cooled Reactor Key Definitions, Plant Capabilities, and Assumptions  

SciTech Connect (OSTI)

This document is intended to provide a Next Generation Nuclear Plant (NGNP) Project tool in which to collect and identify key definitions, plant capabilities, and inputs and assumptions to be used in ongoing efforts related to the licensing and deployment of a high temperature gas-cooled reactor (HTGR). These definitions, capabilities, and assumptions are extracted from a number of sources, including NGNP Project documents such as licensing related white papers [References 1-11] and previously issued requirement documents [References 13-15]. Also included is information agreed upon by the NGNP Regulatory Affairs group's Licensing Working Group and Configuration Council. The NGNP Project approach to licensing an HTGR plant via a combined license (COL) is defined within the referenced white papers and reference [12], and is not duplicated here.

Phillip Mills

2012-02-01T23:59:59.000Z

3

Housing  

Science Journals Connector (OSTI)

A large part of the worlds energy consumption is used in the housing and transport sectors. Any reduction in their energy consumption, for the same quality of product or service, is highly worthwhile. Housing...

Christian Ng; Marcel H. Van de Voorde

2014-01-01T23:59:59.000Z

4

AEO Assumptions  

Gasoline and Diesel Fuel Update (EIA)

for the for the Annual Energy Outlook 1997 December 1996 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 Energy Information Administration/Assumptions for the Annual Energy Outlook 1997 Contents Page Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Commercial Demand Module . . . . . . . . . . . . . . . . . .

5

Houses undergoing psychoanalysis :  

E-Print Network [OSTI]

The objective of this thesis is to explore the relationship between the self and the house. In approaching the subject, my assumptions were that the basic condition of the house-self relationship is of tension and animosity ...

Palmon, Ruth, 1970-

2002-01-01T23:59:59.000Z

6

Annual Energy Outlook 96 Assumptions  

Gasoline and Diesel Fuel Update (EIA)

for for the Annual Energy Outlook 1996 January 1996 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 Introduction This paper presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 1996 (AEO96). In this context, assumptions include general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports listed in the Appendix. 1 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview. The National Energy Modeling System The projections

7

EIA - Assumptions to the Annual Energy Outlook 2010 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2010 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2010 [1] (AEO2010), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System The projections in the AEO2010 were produced with the NEMS, which is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and perform policy analyses requested by decisionmakers in the White House, U.S. Congress, offices within the Department of Energy, including DOE Program Offices, and other government agencies. The Annual Energy Outlook (AEO) projections are also used by analysts and planners in other government agencies and outside organizations.

8

EIA - Assumptions to the Annual Energy Outlook 2008 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2008 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20081 (AEO2008), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 The National Energy Modeling System The projections in the AEO2008 were produced with the NEMS, which is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and perform policy analyses requested by decisionmakers in the White House, U.S. Congress, offices within the Department of Energy, including DOE Program Offices, and other government agencies. The AEO projections are also used by analysts and planners in other government agencies and outside organizations.

9

EIA - Assumptions to the Annual Energy Outlook 2009 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2009 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2009 (AEO2009),1 including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 The National Energy Modeling System The projections in the AEO2009 were produced with the NEMS, which is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and perform policy analyses requested by decisionmakers in the White House, U.S. Congress, offices within the Department of Energy, including DOE Program Offices, and other government agencies. The Annual Energy Outlook (AEO) projections are also used by analysts and planners in other government agencies and outside organizations.

10

Assumptions to the Annual Energy Outlook 2013  

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

Demand Module Demand Module This page inTenTionally lefT blank 27 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 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

11

Assumptions to the Annual Energy Outlook 2013  

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

Introduction Introduction This page inTenTionally lefT blank 3 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2013 [1] (AEO2013), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System Projections in the AEO2013 are generated using the NEMS, developed and maintained by the Office of Energy Analysis of the U.S.

12

Assumptions  

Gasoline and Diesel Fuel Update (EIA)

to the to the Annual Energy Outlook 1998 December 1997 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Household Expenditures Module. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 Oil and Gas Supply Module

13

Assumptions  

Gasoline and Diesel Fuel Update (EIA)

1 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 Natural Gas Transmission and Distribution Module . . . . . . . . . . . . . . . . . . . . . . . . . . . 92 Petroleum Market Module. . . . . . . . . . . . .

14

Section 25: Future State Assumptions  

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

the Compliance Certification Application (CCA), Chapter 6.0, Section 6.2 and Appendices SCR and MASS (U.S. DOE 1996). Many of these future state assumptions were derived from the...

15

Energy House  

Broader source: Energy.gov [DOE]

Students learn about energy conservation and efficiency by using various materials to insulate a cardboard house.

16

Assumptions to the Annual Energy Outlook - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumption to the Annual Energy Outlook Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20041 (AEO2004), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview3, which is updated once every two years. The National Energy Modeling System The projections in the AEO2004 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the midterm time period and perform policy analyses requested by decisionmakers in the U.S. Congress, the Administration, including DOE Program Offices, and other government agencies.

17

Idaho National Engineering Laboratory installation roadmap assumptions document. Revision 1  

SciTech Connect (OSTI)

This document is a composite of roadmap assumptions developed for the Idaho National Engineering Laboratory (INEL) by the US Department of Energy Idaho Field Office and subcontractor personnel as a key element in the implementation of the Roadmap Methodology for the INEL Site. The development and identification of these assumptions in an important factor in planning basis development and establishes the planning baseline for all subsequent roadmap analysis at the INEL.

Not Available

1993-05-01T23:59:59.000Z

18

Postdoc Housing  

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

Housing Housing Postdoc Housing Point your career towards LANL: work with the best minds on the planet in an inclusive environment that is rich in intellectual vitality and opportunities for growth. Contact Email Housing in Los Alamos, nearby communities If you are interested in posting a housing opportunity, email the pertinent information to postdocprogram@lanl.gov. Housing listings will be posted for one month. If you wish for the listing to remain on the website longer, please contact the Postdoc Program Office by email. 12/18/2013 Available - Los Alamos, NM Rare top floor Iris Street Condo. Wake up & walk across the street to grab your morning bagel & latte. Stroll a bit further to enjoy the NM sunshine at the Ashley Pond! Spend your day in the heart of downtown, sweat it out

19

Student Housing  

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

Housing Housing Student Housing Point your career towards LANL: work with the best minds on the planet in an inclusive environment that is rich in intellectual vitality and opportunities for growth. If you are interested in posting a housing opportunity, email the pertinent information to Student Housing. Housing listings will be posted for two months. If you wish for the listing to remain on the website longer, please contact the Student Program Office by email. 01/09/2014 Available 1/10/2014 - Los Alamos, NM 35th Street Duplex - 3 Bedroom/1 bath; Very clean and very nice; All storm windows, furnace and water boiler were replaced in FY 2012; Kitchen and bathroom equipment was all replaced in FY2012 as well; Large fenced back yard with a storage shed; Within walking distance of Aspen Elementary

20

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20031 (AEO2003), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2003 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the midterm time period and perform policy analyses requested by decisionmakers and analysts in the U.S. Congress, the Department of Energy’s Office of Policy and International Affairs, other DOE offices, and other government agencies.

Note: This page contains sample records for the topic "key assumptions housing" 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

Assumptions to the Annual Energy Outlook 2013  

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

Macroeconomic Activity Module Macroeconomic Activity Module This page inTenTionally lefT blank 17 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents interactions between the U.S. economy and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP), is a key determinant of growth in the demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected

22

Meadowlark House  

Office of Energy Efficiency and Renewable Energy (EERE)

This poster describes the energy efficiency features and sustainable materials used in the Greensburg GreenTown Chain of Eco-Homes Meadowlark House in Greensburg, Kansas.

23

Assumptions to Annual Energy Outlook - Energy Information Administration  

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

Assumptions to AEO2013 Assumptions to AEO2013 Release Date: May 14, 2013 | Next Release Date: May 2014 | full report Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2013 [1] (AEO2013), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System Projections in the AEO2013 are generated using the NEMS, developed and maintained by the Office of Energy Analysis of the U.S. Energy Information Administration (EIA). In addition to its use in developing the Annual

24

Assumptions to Annual Energy Outlook - Energy Information Administration  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to AEO2012 Assumptions to AEO2012 Release Date: August 2, 2012 | Next Release Date: August 2013 | Full report Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2012 [1] (AEO2012), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System The projections in AEO2012 are generated using the NEMS, developed and maintained by the Office of Energy Analysis (OEA) of the U.S. Energy Information Administration (EIA). In addition to its use in developing the

25

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,

26

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2006 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

27

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.

28

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.

29

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

States. States. OGSM encompasses domestic crude oil and natural gas supply by both conventional and nonconventional recovery techniques. Nonconventional recovery includes unconventional gas recovery from low permeability formations of sandstone and shale, and coalbeds. Energy Information Administration/Assumptions to the Annual Energy Outlook 2007 93 Figure 7. Oil and Gas Supply Model Regions Source: Energy Information Administration, Office of Integrated Analysis and Forecasting. Report #:DOE/EIA-0554(2007) Release date: April 2007 Next release date: March 2008 Primary inputs for the module are varied. One set of key assumptions concerns estimates of domestic technically recoverable oil and gas resources. Other factors affecting the projection include the assumed

30

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Household Expenditures Module Household Expenditures Module The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and demographic characteristics, and consumption and expenditures for fuels for various end-uses. These data are combined with NEMS forecasts of household disposable income, fuel consumption, and fuel expenditures by end-use and household type. The HEM disaggregation algorithm uses these combined results to forecast household fuel consumption and expenditures by income quintile and Census Division. Key Assumptions The historical input data used to develop the HEM version for the AEO2003 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2003 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS).

31

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2003, DOE/EIA-M060(2003) (Washington, DC, January 2003). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves addresses the relationship between the minemouth price of coal and corresponding levels of capacity utilization of mines, mining capacity, labor productivity, and the cost of factor inputs (mining equipment, mine labor, and fuel requirements).

32

Assumptions to the Annual Energy Outlook 1999 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

link.gif (1946 bytes) link.gif (1946 bytes) bullet1.gif (843 bytes) Assumptions to the AEO99 bullet1.gif (843 bytes) Supplemental Tables to the AEO99 bullet1.gif (843 bytes) To Forecasting Home Page bullet1.gif (843 bytes) EIA Homepage introduction.gif (4117 bytes) This paper presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 19991 (AEO99), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3

33

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2006 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20061 (AEO2006), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview3, which is updated once every few years. The National Energy Modeling System

34

House Snakes  

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

House Snakes House Snakes Name: LOIS Location: N/A Country: N/A Date: N/A Question: How do you get rid of snakes in a house? Do mothballs work? Replies: The snake is the most misunderstood and most abused of all animals. If you cannot overcome your abhorrence or fear of them, leave them alone. Do not kill them. They are valuable destroyers of mice, rats, gophers and many insects. Perhaps the following links could be of some assistance in keeping people from indiscriminately killing snakes? Snake-A-Way is the same product used by the pest control industry and currently the only registered snake repellent. Snake-A-Way links: http://www.animalrepellents.com/snakeinfo.html http://www.animalrepellents.com/ustudies/saw.html http://www.animalrepellents.com/editorials/naturel.html

35

Assumptions to the Annual Energy Outlook 2000 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Key Assumptions Key Assumptions The historical input data used to develop the HEM version for the AEO2000 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2000 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and transportation sectors as inputs to the disaggregation algorithm that results in the direct fuel expenditure analysis. Household end-use and personal transportation service consumption are obtained by HEM from the NEMS Residential and Transportation Demand Modules. Household disposable income is adjusted with forecasts of total disposable income from the NEMS Macroeconomic Activity Module.

36

Developing Alaskan Sustainable Housing  

Office of Energy Efficiency and Renewable Energy (EERE)

The Association of Alaska Housing Authorities is holding a 3-day training event for housing developmentprofessionals titled Developing Alaskan Sustainable Housing (DASH). This is a unique...

37

Sod Houses  

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

Houses Houses Nature Bulletin No. 620 December 3, 1960 Forest Preserve District of Cook County Daniel Ryan, President Roberts Mann, Conservation Editor David H. Thompson, Senior Naturalist SOD HOUSES In the 1860's and 70's, when pioneer settlers came to homestead free land on the vast lonely prairies of Kansas and Nebraska, they found a country that, except for fringes of cottonwoods and willows along the streams, was treeless. There was no rock and mighty little timber for building houses and barns. Lumber was very expensive and scarce. So was money. However, the prairies were thickly covered with short, drought- enduring buffalo and blue grama grasses. Some of the Indian tribes which not only hunted buffalo but also grew corn -- notably the Pawnee, Osage and Hidatsa -- had large earthlodges. They used sod in the walls and the conical or dome-like roofs had pole rafters covered with willow brush, slough hay, sod, and finally clay. So the homesteaders were inspired to build their homes with slabs of the remarkably thick and tough prairie sod: "Nebraska marble".

38

EIA - Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

7 7 Assumptions to the Annual Energy Outlook 2007 This report summarizes the major assumptions used in the NEMS to generate the AEO2007 projections. Contents (Complete Report) Download complete Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Introduction Section to the Assumptions to the Annual Energy Outlook 2007 Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Section to the Assumptions to the Annual Energy Outlook 2007 Report. Need help, contact the National Energy Information Center at 202-586-8800. Macroeconomic Activity Module Macroeconomic Activity Module Section to the Assumptions to the Annual Energy Outlook 2007 Report. Need help, contact the National Energy Information Center at 202-586-8800.

39

Assumptions to the Annual Energy Outlook 2013  

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

Act of 2006 (AB32) AB32 established a comprehensive, multi-year program to reduce Green House Gas (GHG) emissions in California, including a cap-and-trade program. In...

40

Climate Action Planning Tool Formulas and Assumptions  

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

CLIMATE ACTION PLANNING TOOL FORMULAS AND ASSUMPTIONS Climate Action Planning Tool Formulas and Assumptions The Climate Action Planning Tool calculations use the following formulas and assumptions to generate the business-as-usual scenario and the greenhouse gas emissions reduction goals for the technology options. Business-as-Usual Scenario All Scope 1 (gas, oil, coal, fleet, and electricity) and Scope 2 calculations increase at a rate equal to the building growth rate. Scope 3 calculations (commuters and business travel) increase at a rate equal to the population growth rate. Assumptions New buildings will consume energy at the same rate (energy use intensity) as existing campus buildings. Fleet operations will be proportional to total building area.

Note: This page contains sample records for the topic "key assumptions housing" 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

1997 Housing Characteristics Tables Housing Unit Tables  

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

Million U.S. Households; 45 pages, 128 kb) Million U.S. Households; 45 pages, 128 kb) Contents Pages HC1-1a. Housing Unit Characteristics by Climate Zone, Million U.S. Households, 1997 4 HC1-2a. Housing Unit Characteristics by Year of Construction, Million U.S. Households, 1997 4 HC1-3a. Housing Unit Characteristics by Household Income, Million U.S. Households, 1997 4 HC1-4a. Housing Unit Characteristics by Type of Housing Unit, Million U.S. Households, 1997 3 HC1-5a. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 1997 3 HC1-6a. Housing Unit Characteristics by Type of Rented Housing Unit, Million U.S. Households, 1997 3 HC1-7a. Housing Unit Characteristics by Four Most Populated States, Million U.S. Households, 1997 4

42

Assumptions to the Annual Energy Outlook 2002 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20021 (AEO2002), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2002 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of

43

Assumptions to the Annual Energy Outlook 2001 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Outlook2001 Outlook2001 Supplemental Data to the AEO2001 NEMS Conference To Forecasting Home Page EIA Homepage Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20011 (AEO2001), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2001 were produced with the National Energy

44

House Spiders  

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

Spiders Spiders Nature Bulletin No. 206-A November 13, 1965 Forest Preserve District of Cook County Seymour Simon, President Roland F. Eisenbeis, Supt. of Conservation HOUSE SPIDERS Nothing humiliates a housewife more than to spy a dusty streamer of cobwebs dangling from the ceiling when she has "company". With a cloth on the end of her broom, or a vacuum cleaner, she wages continual war on spiders. The spider itself frequently escapes by darting into a hide-away or dropping by a thread of silk to the floor where it may play "possum" until things have quieted down. But in basements, in unused rooms, in attics, between windows and screens, beneath porches, and in garages or other out buildings, many small spiders live their interesting lives.

45

Assumptions to the Annual Energy Outlook  

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 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.

46

Assumptions to the Annual Energy Outlook 2013  

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

Assumptions to the Annual Assumptions to the Annual Energy Outlook 2013 May 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies. Table of Contents Introduction .................................................................................................................................................. 3

47

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7), 7), (Washington, DC, January 2007). Key Assumptions The output of the U.S. economy, measured by GDP, is expected to increase by 2.9 percent between 2005 and 2030 in the reference case. Two key factors help explain the growth in GDP: the growth rate of nonfarm employment and the rate of productivity change associated with employment. As Table 3 indicates, for the Reference Case GDP growth slows down in each of the periods identified, from 3.0 percent between 2005 and 2010, to 2.9 percent between 2010 and 2020, to 2.8 percent in the between 2020 and 2030. In the near term from 2005 through 2010, the growth in nonfarm employment is low at 1.2 percent compared with 2.4 percent in the second half of the 1990s, while the economy is expected to experiencing relatively strong

48

Assumptions to the Annual Energy Outlook 2008  

Gasoline and Diesel Fuel Update (EIA)

8) 8) Release date: June 2008 Next release date: March 2009 Assumptions to the Annual Energy Outlook 2008 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 Commercial Demand Module. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 Natural Gas Transmission and Distribution Module. . . . . . . . . . . . . . . . . . . . . . 113 Petroleum Market Module

49

Preliminary Assumptions for Natural Gas Peaking  

E-Print Network [OSTI]

Preliminary Assumptions for Natural Gas Peaking Technologies Gillian Charles and Steve Simmons GRAC, Reciprocating Engines Next steps 2 #12;Definitions Baseload Energy: power generated (or conserved) across a period of time to serve system demands for electricity Peaking Capacity: capability of power generating

50

Preliminary Assumptions for Natural Gas Peaking  

E-Print Network [OSTI]

Preliminary Assumptions for Natural Gas Peaking Technologies Gillian Charles GRAC 2/27/14 #12;Today Vernon, WA PSE Klamath Generation Peakers June 2002 (2) 54 MW P&W FT8 Twin- pac 95 MW Klamath, OR IPP; winter-only PPA w/ PSE Dave Gates Generating Station Jan 2011 (3) P&W SWIFTPAC 150 MW Anaconda, MT North

51

Empirically Revisiting the Test Independence Assumption  

E-Print Network [OSTI]

Empirically Revisiting the Test Independence Assumption Sai Zhang, Darioush Jalali, Jochen Wuttke}@cs.washington.edu ABSTRACT In a test suite, all the test cases should be independent: no test should affect any other test's result, and running the tests in any order should produce the same test results. Techniques such as test

Ernst, Michael

52

A new scenario framework for climate change research: The concept of Shared Climate Policy Assumptions  

SciTech Connect (OSTI)

The paper presents the concept of shared climate policy assumptions as an important element of the new scenario framework. Shared climate policy assumptions capture key climate policy dimensions such as the type and scale of mitigation and adaptation measures. They are not specified in the socio-economic reference pathways, and therefore introduce an important third dimension to the scenario matrix architecture. Climate policy assumptions will have to be made in any climate policy scenario, and can have a significant impact on the scenario description. We conclude that a meaningful set of shared climate policy assumptions is useful for grouping individual climate policy analyses and facilitating their comparison. Shared climate policy assumptions should be designed to be policy relevant, and as a set to be broad enough to allow a comprehensive exploration of the climate change scenario space.

Kriegler, Elmar; Edmonds, James A.; Hallegatte, Stephane; Ebi, Kristie L.; Kram, Tom; Riahi, Keywan; Winkler, Harald; Van Vuuren, Detlef

2014-04-01T23:59:59.000Z

53

Assumptions to the Annual Energy Outlook 2013  

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

Energy Module Energy Module This page inTenTionally lefT blank 21 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 International Energy Module The LFMM International Energy Module (IEM) simulates the interaction between U.S. and global petroleum markets. It uses assumptions of economic growth and expectations of future U.S. and world crude-like liquids production and consumption to estimate the effects of changes in U.S. liquid fuels markets on the international petroleum market. For each year of the forecast, the LFMM IEM computes BRENT and WTI prices, provides a supply curve of world crude-like liquids, and generates a worldwide oil supply- demand balance with regional detail. The IEM also provides, for each year of the projection period, endogenous and

54

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the Annual Energy Outlook 2004 Assumptions to the Annual Energy Outlook 2004 143 Appendix A: Handling of Federal and Selected State Legislation and Regulation in the Annual Energy Outlook Legislation Brief Description AEO Handling Basis Residential Sector A. National Appliance Energy Conservation Act of 1987 Requires Secretary of Energy to set minimum efficiency standards for 10 appliance categories a. Room Air Conditioners Current standard of 8.82 EER Federal Register Notice of Final Rulemaking, b. Other Air Conditioners (<5.4 tons) Current standard 10 SEER for central air conditioner and heat pumps, increasing to 12 SEER in 2006. Federal Register Notice of Final Rulemaking, c. Water Heaters Electric: Current standard .86 EF, incr easing to .90 EF in 2004. Gas: Curren

55

1997 Housing Characteristics Tables Housing Unit Tables  

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

Percent of U.S. Households; 45 pages, 121 kb) Percent of U.S. Households; 45 pages, 121 kb) Contents Pages HC1-1b. Housing Unit Characteristics by Climate Zone, Percent of U.S. Households, 1997 4 HC1-2b. Housing Unit Characteristics by Year of Construction, Percent of U.S. Households, 1997 4 HC1-3b. Housing Unit Characteristics by Household Income, Percent of U.S. Households, 1997 4 HC1-4b. Housing Unit Characteristics by Type of Housing Unit, Percent of U.S. Households, 1997 3 HC1-5b. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit, Percent of U.S. Households, 1997 3 HC1-6b. Housing Unit Characteristics by Type of Rented Housing Unit, Percent of U.S. Households, 1997 3 HC1-7b. Housing Unit Characteristics by Four Most Populated States, Percent of U.S. Households, 1997 4

56

House Retirement Timeline  

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

House Retirement House Retirement Timeline House is retiring December 20,2013 Fix your pipelines, move data and get help now! /house is POWERED OFF. 12/20/2013 Questions? Contact Kjiersten & Doug; consult@nersc.gov Office hours: MWThF 10:00-12:00 400-413 The link to /house will be permanently changed; all pipelines that have not removed /house dependencies will break. 11/15/2013 Your actions: Find anything that is still broken and let the developers know. Check houseHunter Continue data migration. We DO NOT GUARANTEE that you will be able to get data off /house after this date. 12/1/2013 Your action: Contact your group lead if you still need data /jgi/tools will no longer be in the default path 10/1/2013 Timeline & Important Dates The link to /house will be temporarily

57

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. In addition, natural gas flow patterns are a function of the pattern in the previous year, coupled with the relative prices of gas supply options as translated to the represented market “hubs.” The major assumptions used within the NGTDM are grouped into five general categories. They relate to (1) the classification of demand into core and noncore transportation service classes, (2) the pricing of transmission and distribution services, (3) pipeline and storage capacity expansion and utilization, and (4) the implementation of recent regulatory reform. A complete listing of NGTDM assumptions and in-depth methodology descriptions are presented in Model Documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System, Model Documentation 2003, DOE/EIA- M062(2003) (Washington, DC, January 2003).

58

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2003, DOE/EIA-M068(2003) April 2003. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

59

Assumptions to the Annual Energy Outlook 2000 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction This paper presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20001 (AEO2000), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2000 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the midterm time period and perform policy analyses requested by decisionmakers and analysts in the U.S. Congress, the Department of Energy’s Office of Policy, other DOE offices, and other government agencies.

60

Assumptions to the Annual Energy Outlook - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module Assumption to the Annual Energy Outlook Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2004, DOE/EIA-M060(2004) (Washington, DC, 2004). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves addresses the relationship between the minemouth price of coal and corresponding levels of capacity utilization of mines, mining capacity, labor productivity, and the cost of factor inputs (mining equipment, mine labor, and fuel requirements).

Note: This page contains sample records for the topic "key assumptions housing" 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

EIA-Assumptions to the Annual Energy Outlook - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2007 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2007), (Washington, DC, January 2007).

62

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7 7 1 (AEO2007), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant to formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports. 2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview 3 , which is updated once every few years. The National Energy Modeling System The projections in the AEO2007 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and

63

EIA - Assumptions to the Annual Energy Outlook 2009 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2010 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Document>ation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2009), (Washington, DC, January 2009).

64

Assumptions to the Annual Energy Outlook 2001 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Completed Copy in PDF Format Completed Copy in PDF Format Related Links Annual Energy Outlook2001 Supplemental Data to the AEO2001 NEMS Conference To Forecasting Home Page EIA Homepage Household Expenditures Module Key Assumptions The historical input data used to develop the HEM version for the AEO2001 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2001 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and

65

Assumptions to the Annual Energy Outlook 1999 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

coal.gif (4423 bytes) coal.gif (4423 bytes) The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Model Documentation: Coal Market Module of the National Energy Modeling System, DOE/EIA-MO60. Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions, and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves addresses the relationship between the minemouth price of coal and corresponding levels of coal production, labor productivity, and the cost of factor inputs (mining equipment, mine labor, and fuel requirements).

66

Assumptions to the Annual Energy Outlook 2001 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2001, DOE/EIA-M060(2001) January 2001. Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions, and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves

67

EIA - Assumptions to the Annual Energy Outlook 2008 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2008 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2007), (Washington, DC, January 2007).

68

Assumptions to the Annual Energy Outlook 2001 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, industry sport utility vehicles and vans), commercial light trucks (8501-10,000 lbs), freight trucks (>10,000 lbs), freight and passenger airplanes, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption. Key Assumptions Macroeconomic Sector Inputs

69

EIA - Assumptions to the Annual Energy Outlook 2009 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2009 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2008), (Washington, DC, January 2008).

70

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7, DOE/EIA-M060(2007) (Washington, 7, DOE/EIA-M060(2007) (Washington, DC, 2007). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, and the cost of factor inputs (labor and fuel).

71

Assumptions to the Annual Energy Outlook 2002 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2002, DOE/EIA-M060(2002) (Washington, DC, January 2002). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves

72

Radon in Syrian houses  

Science Journals Connector (OSTI)

A nationwide investigation of radon levels in Syrian houses was carried out during the period 1991 - 1993. Passive radon diffusion dosemeters using polycarbonate detectors were distributed in houses all over Syria. Detectors were subjected to electrochemical etching to reveal latent tracks of alpha particles. The mean radon concentration in Syrian houses was found to be with some values several times higher. This investigation indicated that there were a few houses in Syria that require remedial action. Most houses that have high levels of radon were found in the southern area, especially in the Damascus governorate. The study also indicated that radon concentrations were higher in old houses built from mud with no tiling.

I Othman; M Hushari; G Raja; A Alsawaf

1996-01-01T23:59:59.000Z

73

Manufacturing Energy and Carbon Footprint Definitions and Assumptions, October 2012  

Broader source: Energy.gov [DOE]

Definitions of parameters and table of assumptions for the Manufacturing Energy and Carbon Footprint

74

Pacific Housing | Open Energy Information  

Open Energy Info (EERE)

Housing Jump to: navigation, search Name: Pacific Housing Place: Sacramento, CA Website: http:www.pacifichousing.com References: Pacific Housing1 Information About Partnership...

75

Key Outcomes:  

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

Key Points & Action Items Key Points & Action Items Inaugural Meeting Thursday, August 25, 2011 Renaissance Denver Hotel Denver, Colorado Participants Tracey LeBeau, Director, Pilar Thomas, Deputy Director, and Brandt Petrasek, Special Assistant, Department of Energy, Office of Indian Energy Policy and Programs; Vice Chairman Ronald Suppah and Jim Manion, Confederated Tribes of the Warm Springs Reservation of Oregon; William Micklin, Ewiiaapaayp Band of Kumeyaay Indians; Councilman Barney Enos, Jr., Jason Hauter, Gila River Indian Community; Mato Standing High, Rosebud Sioux Tribe; R. Allen Urban, Yocha Dehe Wintun Nation; Glen Andersen, Scott Hendrick, Brooke Oleen, Jacquelyn Pless, Jim Reed and Julia Verdi, National Conference of State Legislatures-staff

76

Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Tools Tools Printable Version Share this resource Send a link to Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology to someone by E-mail Share Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Facebook Tweet about Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Twitter Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Google Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Delicious Rank Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Digg Find More places to share Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on AddThis.com...

77

Assumptions to the Annual Energy Outlook - Contacts  

Gasoline and Diesel Fuel Update (EIA)

Contacts Contacts Assumption to the Annual Energy Outlook Contacts Specific questions about the information in this report may be directed to: Introduction Paul D. Holtberg 202/586-1284 Macroeconomic Activity Module Ronald F. Earley Yvonne Taylor 202/586-1398 202/586-1398 International Energy Module G. Daniel Butler 202/586-9503 Household Expenditures Module/ Residential Demand Module John H. Cymbalsky 202/586-4815 Commercial Demand Module Erin E. Boedecker 202/586-4791 Industrial Demand Module T. Crawford Honeycutt 202/586-1420 Transportation Demand Module John D. Maples 202/586-1757 Electricity Market Module Laura Martin 202/586-1494 Oil and Gas Supply Module/Natural Gas Transmission and Distribution Module Joseph Benneche 202/586-6132 Petroleum Market Module Bill Brown 202/586-8181

78

Assumptions to the Annual Energy Outlook 2013  

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

Industrial Demand Module Industrial Demand Module This page inTenTionally lefT blank 53 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Industrial Demand Module The NEMS Industrial Demand Module (IDM) estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are subdivided further into the energy- intensive manufacturing industries and non-energy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure. The non-manufacturing industries are modeled with less detail because processes are simpler and there is less available data. The petroleum refining

79

Assumptions to the Annual Energy Outlook 2013  

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

Demand Module Demand Module This page inTenTionally lefT blank 39 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2040. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial.

80

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohol and ethers, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of refining activities in three U.S. regions. This representation provides the marginal costs of production for a number of traditional and new petroleum products. The linear programming results are used to determine end-use product prices for each Census Division using the assumptions and methods described below.106

Note: This page contains sample records for the topic "key assumptions housing" 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

100% petroleum house  

E-Print Network [OSTI]

I am designing a Case Study House to be sponsored by Royal Dutch Shell which utilizes the by-product of oil extraction, petroleum gas, to produce a zero waste, 100% petroleum based house. The motivation of the Case Study ...

Costanza, David (David Nicholas)

2013-01-01T23:59:59.000Z

82

" Million Housing Units, Final...  

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

2 Fuels Used and End Uses in U.S. Homes, by OwnerRenter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings...

83

" Million Housing Units, Final...  

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

2 Household Demographics of U.S. Homes, by OwnerRenter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings...

84

Insulator for laser housing  

DOE Patents [OSTI]

The present invention provides a heat-resistant electrical insulator adapted for joining laser housing portions, which insulator comprises: an annulus; a channel in the annulus traversing the circumference and length of the housing; at least two ports, each communicating with the channel and an outer surface of the housing; and an attachment for securely attaching each end of the annulus to a laser housing member.

Duncan, David B. (Auburn, CA)

1992-01-01T23:59:59.000Z

85

Insulator for laser housing  

DOE Patents [OSTI]

The present invention provides a heat-resistant electrical insulator adapted for joining laser housing portions, which insulator comprises: an annulus; a channel in the annulus traversing the circumference and length of the housing; at least two ports, each communicating with the channel and an outer surface of the housing; and an attachment for securely attaching each end of the annulus to a laser housing member. 3 figs.

Duncan, D.B.

1992-12-29T23:59:59.000Z

86

EcoHouse Program Overview  

Broader source: Energy.gov [DOE]

Provides an overview of the Indianapolis Better Buildings program, the EcoHouse program, and Indianapolis Neighborhood Housing partnership (INHP).

87

NREL: Housing Information  

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

Housing Information Housing Information Suggestions for where to start looking for short-term housing or apartments in the Golden, Colorado area are provided below. Short-term Housing Biz-Stay: Lakewood, Golden, Evergreen Housing Features: Short term furnished apartments to extended stay hotels Locations throughout the Lakewood-Golden-Evergreen area. Candlewood Suites 895 Tabor Street Golden, CO 80401 303-232-7171, ask for NREL rates or email Lisa.kennedy@ihg.com Housing Features: Pet friendly Free on-site laundry facilities All suites have kitchens Free high speed internet connections in all suites. University Housing Campus Village Apartments at the Auraria Campus University of Colorado Denver, Metro State College campus (May, June, July only) 318 Walnut St. Denver, CO 80204 303-573-5272

88

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

89

2010 Manufacturing Energy and Carbon Footprints: Definitions and Assumptions  

Broader source: Energy.gov [DOE]

This 13-page document provides definitions and assumptions used in the Manufacturing Energy and Carbon Footprints (MECS 2010)

90

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2003), (Washington, DC, January 2003).

91

" Million Housing Units, Final...  

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

1 Space Heating in U.S. Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,"Pacific...

92

" Million Housing Units, Final...  

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

0 Household Demographics of Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census...

93

" Million Housing Units, Final...  

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

0 Fuels Used and End Uses in Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census...

94

" Million Housing Units, Final...  

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

1 Household Demographics of Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,"Pacific...

95

" Million Housing Units, Final...  

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

HC.1.11 Fuels Used and End Uses in Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census...

96

" Million Housing Units, Final...  

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

0 Space Heating in U.S. Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East...

97

" Million Housing Units, Final...  

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

8 Space Heating in U.S. Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census...

98

" Million Housing Units, Final...  

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

9 Household Demographics of Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census...

99

" Million Housing Units, Final...  

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

9 Space Heating in U.S. Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" " ",,,"East North Central Census...

100

" Million Housing Units, Final...  

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

9 Fuels Used and End Uses in Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census...

Note: This page contains sample records for the topic "key assumptions housing" 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

HOUSE PASSES ENERGY BILLS  

Science Journals Connector (OSTI)

Among the dissimilarities, the House bill would require that, by 2020, utilities generate 15% of their electricity from renewable sourceswind, solar, and hydropower. ...

JEFF JOHNSON

2007-08-13T23:59:59.000Z

102

Assumptions to the Annual Energy Outlook 2000 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module estimates energy consumption across the nine Census Divisions and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, industry sport utility vehicles and vans), commercial light trucks (8501-10,000 lbs), freight trucks (>10,000 lbs), freight and passenger airplanes, freight rail, freight shipping, mass transit, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption. Transportation Demand Module estimates energy consumption across the nine Census Divisions and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, industry sport utility vehicles and vans), commercial light trucks (8501-10,000 lbs), freight trucks (>10,000 lbs), freight and passenger airplanes, freight rail, freight shipping, mass transit, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption. Key Assumptions Macroeconomic Sector Inputs

103

Assumptions to the Annual Energy Outlook 2000 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2000, DOE/EIA-M060(2000) January 2000. The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2000, DOE/EIA-M060(2000) January 2000. Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions, and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves addresses the relationship between the minemouth price of coal and corresponding levels of coal production, labor productivity, and the cost of factor inputs (mining equipment, mine labor, and fuel requirements).

104

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2006, DOE/EIA-M060(2006) (Washington, DC, 2006). Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2006, DOE/EIA-M060(2006) (Washington, DC, 2006). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, and the cost of factor inputs (labor and fuel).

105

Thermal Insulation of Houses  

Science Journals Connector (OSTI)

... THE Thermal Insulation (Dwellings) Bill which Mr. G. Nabarro introduced into the House of Commons on ... , sponsored by members of both major political parties, extends the principle of the Thermal Insulation (Industrial Buildings) Act of July 1957 to all new dwelling houses built in the ...

1958-02-22T23:59:59.000Z

106

Multiple pump housing  

DOE Patents [OSTI]

A fluid delivery system includes a first pump having a first drive assembly, a second pump having a second drive assembly, and a pump housing. At least a portion of each of the first and second pumps are located in the housing.

Donoho, II, Michael R. (Edelstein, IL); Elliott, Christopher M. (Metamora, IL)

2010-03-23T23:59:59.000Z

107

" Million U.S. Housing Units"  

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

0 Home Appliances Usage Indicators by Type of Housing Unit, 2005" " Million U.S. Housing Units" ,,"Type of Housing Unit" ," Housing Units (millions) ","Single-Family...

108

President Obama Announces More Key Administration Posts | Department...  

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

9, 2010 - 12:00am Addthis THE WHITE HOUSE Office of the Press Secretary WASHINGTON - Today, President Barack Obama announced his intent to nominate the following individuals to key...

109

EIA - Assumptions to the Annual Energy Outlook 2010  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the Annual Energy Outlook 2010 This report summarizes the major assumptions used in the NEMS to generate the AEO2010 projections. Introduction Macroeconomic Activity Module International Energy Module Residential Demand Module Commercial Demand Module Industrial Demand Module Transportation Demand Module Electricity Market Module Oil and Gas Supply Module Natural Gas Transmission and Distribution Module Petroleum Market Module Coal Market Module Renewable Fuels Module PDF (GIF) Appendix A: Handling of Federal and Selected State Legislation and Regulation In the Annual Energy Outlook Past Assumptions Editions Download the Report Assumptions to the Annual Energy Outlook 2010 Report Cover. Need help, contact the National Energy Information Center at 202-586-8800.

110

Developing Alaskan Sustainable Housing Training  

Broader source: Energy.gov [DOE]

Hosted by the Association of Alaska Housing Authorities (AAHA), this three-day training event covers strategies and technical issues related to sustainable housing development.

111

Pet House Sparrow  

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

Pet House Sparrow Pet House Sparrow Name: mary Location: N/A Country: N/A Date: N/A Question: I found a Baby House Sparrow and raised it. This Sparrow is a female and is about 5 months old and very tame. We are keeping this bird as a pet. We are interested in possibly breeding this bird and was wondering if you can mix breed the House Sparrow with a Finch or type of Sparrow that you could purchase at a pet store? What is the life expectancy of the House Sparrow? Replies: In the wild most small birds only live a year or two; well cared for in captivity they might be able to make it twice that long, but don't count on it. There are some records of exceptional life lengths for some species of small birds, 8 or 10 years, but I haven't heard of any for house sparrows. I don't think you would be able to cross breed house sparrows with any of the others, but I couldn't say for sure. Hybridization normally occurs only between very closely related species; I don't know enough about genetics.

112

ORNL Guest House  

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

The ORNL Guest House is located in the Oak Ridge National Laboratory campus, within 5 minutes by car to any part of the campus, High Flux Isotope Reactor (HFIR), Conference Center and short walk to the Spallation Neutron Source (SNS). The Guest House is a three story, 47 room, 71 bed facility (23 rooms with king beds and 24 rooms with 2 ex-long double beds). All rooms have a flat screen satellite TV, mini fridge, microwave, coffeemaker, iron & ironing board, and hair dryer. The entire Guest House has high speed wireless internet access with printing capabilities. The ORNL Guest House is located in the Oak Ridge National Laboratory campus, within 5 minutes by car to any part of the campus, High Flux Isotope Reactor (HFIR), Conference Center and short walk to the Spallation Neutron Source (SNS). The Guest House is a three story, 47 room, 71 bed facility (23 rooms with king beds and 24 rooms with 2 ex-long double beds). All rooms have a flat screen satellite TV, mini fridge, microwave, coffeemaker, iron & ironing board, and hair dryer. The entire Guest House has high speed wireless internet access with printing capabilities. ORNL Guest House Oak Ridge National Laboratory Address - 8640 Nano Center Drive Oak Ridge, Tn 37830 Phone: 865-576-8101 Fax: 865-576-8102 Operated by Paragon Hotel Company This Convenient and Modern Facility Offers:

113

Assumption-Commitment Support for CSP Model Checking  

E-Print Network [OSTI]

AVoCS 2006 Assumption-Commitment Support for CSP Model Checking Nick Moffat1 Systems Assurance using CSP. In our formulation, an assumption-commitment style property of a process SYS takes the form-Guarantee, CSP, Model Checking, Compositional Reasoning 1 Introduction The principle of compositional program

Paris-Sud XI, Université de

114

Principles of Passive House  

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

Principles of Passive House Principles of Passive House Speaker(s): Wolfgang Feist Date: November 1, 2010 - 12:00pm Location: 90-4133 Seminar Host/Point of Contact: Alan Meier The Passive House ("Passivhaus") concept is a rigorous, voluntary energy performance standard for buildings that reduces heating requirements by up to 90% and overall energy use by up to 80% over standard construction. Developed in Germany in the early 1990s and drawing on Super-insulated and Passive Solar ideas from North America and "Low Energy" European building standards, the concept of a building that could be practically constructed to maintain a comfortable interior climate without conventional heating or cooling systems was devised, tested and proven. The Passive House remains comfortable without large "active"

115

Cost Effective Sustainable Housing.  

E-Print Network [OSTI]

??Cost Effective Sustainable Housing The topic of research which was discussed throughout this study was an analysis of sustainable development between single-family and multi-family structures. (more)

Morton, Joshua

2009-01-01T23:59:59.000Z

116

" Million Housing Units, Final...  

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

3 Household Demographics of U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" ,,"Before 1940","1940 to...

117

" Million Housing Units, Final...  

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

3 Space Heating in U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" ,,"Before 1940","1940 to...

118

" Million Housing Units, Final...  

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

5 Fuels Used and End Uses in U.S. Homes, by Household Income, 2009" " Million Housing Units, Final" ,,"Household Income" ,"Total U.S.1 (millions)",,,"Below Poverty Line2"...

119

" Million Housing Units, Final...  

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

7 Space Heating in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South","West" "Space...

120

" Million Housing Units, Final...  

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

5 Space Heating in U.S. Homes, by Household Income, 2009" " Million Housing Units, Final" ,,"Household Income" ,"Total U.S.1 (millions)",,,"Below Poverty Line2" ,,"Less than...

Note: This page contains sample records for the topic "key assumptions housing" 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

" Million Housing Units, Final...  

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

4 Space Heating in U.S. Homes, by Number of Household Members, 2009" " Million Housing Units, Final" ,,"Number of Household Members" ,"Total U.S.1 (millions)" ,,,,,,"5 or More...

122

" Million Housing Units, Final...  

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

6 Space Heating in U.S. Homes, by Climate Region, 2009" " Million Housing Units, Final" ,,"Climate Region2" ,"Total U.S.1 (millions)" ,,"Very Cold","Mixed- Humid","Mixed-Dry"...

123

Houses for Dorchester  

E-Print Network [OSTI]

The intent of this thesis is to develop a design for thirty units of housing responding to the development objectives of the Nuestra Comunidad Development Corporation (NCDC) in the Upham Corner district of Dorchester. It ...

Chalmers, Thomas C. (Thomas Clark)

1987-01-01T23:59:59.000Z

124

Indian Housing Training Conference  

Broader source: Energy.gov [DOE]

This four-day conference will provide housing professionals with the tools to maintain good homes, build affordable homes, improve public safety, and provide essential building blocks to a healthy...

125

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

6 6 Assumptions to the Annual Energy Outlook 2006 This report presents major assumptions of NEMS that are used to generate the projections in the AEO2006. Contents (Complete Report) Download complete Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Introduction Section to the Assumptions to the Annual Energy Outlook 2006 Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Section to the Assumptions to the Annual Energy Outlook 2006 Report. Need help, contact the National Energy Information Center at 202-586-8800. Macroeconomic Activity Module Macroeconomic Activity Module Section to the Assumptions to the Annual Energy Outlook 2006 Report. Need help, contact the National Energy Information Center at 202-586-8800.

126

Apparatus, system, and method for synchronizing a timer key  

DOE Patents [OSTI]

A timer key relating to monitoring a countdown time of a countdown routine of an electronic device is disclosed. The timer key comprises a processor configured to respond to a countdown time associated with operation of the electronic device, a display operably coupled with the processor, and a housing configured to house at least the processor. The housing has an associated structure configured to engage with the electronic device to share the countdown time between the electronic device and the timer key. The processor is configured to begin a countdown routine based at least in part on the countdown time, wherein the countdown routine is at least substantially synchronized with a countdown routine of the electronic device when the timer key is removed from the electronic device. A system and method for synchronizing countdown routines of a timer key and an electronic device are also disclosed.

Condit, Reston A; Daniels, Michael A; Clemens, Gregory P; Tomberlin, Eric S; Johnson, Joel A

2014-04-22T23:59:59.000Z

127

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

128

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

129

EIA - Assumptions to the Annual Energy Outlook 2009  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the Annual Energy Outlook 2009 The Early Release for next year's Annual Energy Outlook will be presented at the John Hopkins Kenney Auditorium on December 14th This report summarizes the major assumptions used in the NEMS to generate the AEO2009 projections. Introduction Macroeconomic Activity Module International Energy Module Residential Demand Module Commercial Demand Module Industrial Demand Module Transportation Demand Module Electricity Market Module Oil and Gas Supply Module Natural Gas Transmission and Distribution Module Petroleum Market Module Coal Market Module Renewable Fuels Module PDF (GIF) Appendix A: Handling of Federal and Selected State Legislation and Regulation In the Annual Energy Outlook Past Assumptions Editions

130

MONITORED GEOLOGIC REPOSITORY LIFE CYCLE COST ESTIMATE ASSUMPTIONS DOCUMENT  

SciTech Connect (OSTI)

The purpose of this assumptions document is to provide general scope, strategy, technical basis, schedule and cost assumptions for the Monitored Geologic Repository (MGR) life cycle cost (LCC) estimate and schedule update incorporating information from the Viability Assessment (VA) , License Application Design Selection (LADS), 1999 Update to the Total System Life Cycle Cost (TSLCC) estimate and from other related and updated information. This document is intended to generally follow the assumptions outlined in the previous MGR cost estimates and as further prescribed by DOE guidance.

R.E. Sweeney

2001-02-08T23:59:59.000Z

131

Key worker housing : a demand analysis of middle-income workforce housing in eastern Massachusetts  

E-Print Network [OSTI]

The Boston Metropolitan Area is one of the most expensive places to live in the United States. In recent years studies have speculated that middle-income workers have had to endure increased commute times as they have moved ...

Sacks, Sean D

2005-01-01T23:59:59.000Z

132

White House Champions of Change Recognizes Solar Innovator | Department of  

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

White House Champions of Change Recognizes Solar Innovator White House Champions of Change Recognizes Solar Innovator White House Champions of Change Recognizes Solar Innovator June 10, 2013 - 4:30pm Addthis Dr. Siva Sivananthan at the Sivananthan Laboratories in Bolingbrook, Illinois. | Photo courtesy of Megan Strand, UIC Dr. Siva Sivananthan at the Sivananthan Laboratories in Bolingbrook, Illinois. | Photo courtesy of Megan Strand, UIC Minh Le Minh Le Program Manager, Solar Program What are the key facts? Dr. Sivananthan, a 2009 SunShot Incubator awardee, was recently recognized by the White House as part of the Immigrant Innovator Champions of Change initiative. Dr. Sivananthan's solar research helps to advance the SunShot Initiative's goals of achieving cost-competitive solar by the end of the decade. Recently recognized by the White House, one awardee of the Energy

133

Notes 01. The fundamental assumptions and equations of lubrication theory  

E-Print Network [OSTI]

The fundamental assumption in Lubrication Theory. Derivation of thin film flow equations from Navier-Stokes equations. Importance of fluid inertia effects in thin film flows. Some fluid physical properties...

San Andres, Luis

2009-01-01T23:59:59.000Z

134

Argonne Open House 2009  

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

Argonne Open Argonne Open House 2009 Welcome Organization Visit Argonne Work with Argonne Contact us For Employees Site Map Help Join us on Facebook Follow us on Twitter NE on Flickr Celebrating the 70th Anniversary of Chicago Pile 1 (CP-1) Argonne OutLoud on Nuclear Energy Argonne Energy Showcase 2012 Argonne Open House 2009 Bookmark and Share THANK YOU! The Nuclear Engineering Division thanks all participants which contributed to make a success of the Open House event. Argonne opened its gates to the community on Saturday, August 29, from 9am to 4:30pm. NE actively participated in this event with activities inside and outside Building 208, the home of the Nuclear Engineering Division. Inside building 208 KEYWORDS: Nuclear Engineering; National Security; Environment, Safety and Health

135

House, home, and community : good models for graduate student housing  

E-Print Network [OSTI]

This thesis explores the planning and design of on-campus housing for graduate students in urban context. This study reviews the prevailing models of on-campus housing nationally and discusses the new concepts of future ...

Han, Jienan, 1978-

2004-01-01T23:59:59.000Z

136

THE WHITE HOUSE | Department of Energy  

Energy Savers [EERE]

THE WHITE HOUSE THE WHITE HOUSE THE WHITE HOUSE More Documents & Publications FACT SHEET: U.S.-China Clean Energy Cooperation Announcements US-China Clean Energy Cooperation...

137

THE WHITE HOUSE | Department of Energy  

Office of Environmental Management (EM)

THE WHITE HOUSE THE WHITE HOUSE THE WHITE HOUSE More Documents & Publications Audit Report: IG-0473 Lapse Documents Inspection Report: IG-0397...

138

Sod House Furnishings  

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

House Furnishings House Furnishings Nature Bulletin No. 666 February 10, 1962 Forest Preserve District of Cook County George W. Dunne, President Roland F. Eisenbeis, Supt. of Conservation SOD HOUSE FURNISHINGS Last year, after we issued Bulletin No. 620-A about the sod houses built by early settlers on the Great Plains, there were numerous requests for this one about the furnishings in those unique dwellings. If they seem meager and inadequate, bear in mind that, with rare exceptions, the pioneers were so poor that some had nothing but iron determination and courage. After the Civil War, ex-soldiers from both armies "pulled up stakes and lit out" for Nebraska, Kansas, or Texas. Under the Homestead Act of 1862, anyone who had not been a Rebel could "file" on and obtain, free, a quarter-section (160 acres) of "government land" -- public domain -- and, by paying $200, claim and pre-empt another. There were no restrictions on purchases from land companies, nor from the railroads that had been granted millions of acres.

139

Controlling House Sparrows  

E-Print Network [OSTI]

T he English or house sparrow is a very common resident in urban and suburban areas. Introduced from Europe, the sparrow has spread over the entire United States and is found almost everywhere in Texas. It is an aggressive, adaptable bird that nests...

Texas Wildlife Services

2008-04-15T23:59:59.000Z

140

Housing services Zinfandel Hall  

E-Print Network [OSTI]

resources, the library, and the Internet. The Community has its own dining hall, swimming pools, study roomsHousing services Zinfandel Hall (707) 664-2541 Fax: (707) 664-4158 e-mail: ssu hall suites and campus apartments, all located just seconds from the main campus classroom buildings

Ravikumar, B.

Note: This page contains sample records for the topic "key assumptions housing" 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

White House honors Los Alamos  

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

White House honors Los Alamos physicist's early career work July 10, 2009 Los Alamos, New Mexico, July 10, 2009-The White House today announced that Los Alamos National Laboratory...

142

Queens College Louis Armstrong House  

E-Print Network [OSTI]

Queens College Louis Armstrong House Louis Armstrong House Museum "From a humble, two-room shack Armstrong. Armstrong lived for nearly three decades in the modest, brick-fronted Corona, Queens home that today is the Louis Armstrong House Museum, which is partnered with Queens College, and open

Rosen, Jay

143

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.

144

Assumptions to the Annual Energy Outlook 2000 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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.

145

Which Reduces Vehicle Travel More: Jobs-Housing Balauce or Retail-Housing Mixing?  

E-Print Network [OSTI]

More: Jobs-Housing Balance or Retail-Housing Mixing? 2. TheMore: Jobs-Housing Balauce or Retail-Housing Mixing? Robertto housing or bringing retail and consumer services closer

Cervero, Robert; Duncan, Michael

2008-01-01T23:59:59.000Z

146

Fermilab Family Open House  

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

Sunday, February 9, 2014 Sunday, February 9, 2014 1:00–5:00 PM Directions to Fermilab This is a party for children who bring an adult with them to learn about the world of physics. (There's plenty for the grown-ups, too.) Events include: Watch Mr. Freeze's fabulous cryogenics show Explore physics concepts with hands-on activities Ask a scientist your physics questions. Take a tour! And more! The Open House is most appropriate for children in grades 3 and up. The event is free. Register only if you wish to go on a tour (minimum age 10). Otherwise, you do not have to register. You should pick up the tickets for the tours in the atrium on the day of the event. Tickets not picked up at least 10 minutes before a tour starts will be released. The Open House is co-supported by Fermilab Friends for Science Education and the Education Office.

147

Housing characteristics 1993  

SciTech Connect (OSTI)

This report, Housing Characteristics 1993, presents statistics about the energy-related characteristics of US households. These data were collected in the 1993 Residential Energy Consumption Survey (RECS) -- the ninth in a series of nationwide energy consumption surveys conducted since 1978 by the Energy Information Administration of the US Department of Energy. Over 7 thousand households were surveyed, representing 97 million households nationwide. A second report, to be released in late 1995, will present statistics on residential energy consumption and expenditures.

NONE

1995-06-01T23:59:59.000Z

148

President Obama Announces More Key Administration Posts | Department of  

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

President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts November 29, 2011 - 4:34pm Addthis THE WHITE HOUSE Office of the Press Secretary FOR IMMEDIATE RELEASENovember 29, 2011 President Obama Announces More Key Administration Posts WASHINGTON, DC - Today, President Barack Obama announced his intent to nominate the following individuals to key Administration posts: Frederick "Rick" Barton - Assistant Secretary for Conflict and Stabilization Operations and Coordinator for Reconstruction and Stabilization, Department of State Arun Majumdar - Under Secretary of Energy, Department of Energy Marie F. Smith - Member, Social Security Advisory Board The President also announced his intent to appoint the following

149

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7) 7) Release date: April 2007 Next release date: March 2008 Assumptions to the Annual Energy Outlook 2007 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Commercial Demand Module. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93 Natural Gas Transmission and Distribution Module. . . . . . . . . . . . . . . . . . . . . . 107 Petroleum Market Module

150

COMPARING ALASKA'S OIL PRODUCTION TAXES: INCENTIVES AND ASSUMPTIONS1  

E-Print Network [OSTI]

1 COMPARING ALASKA'S OIL PRODUCTION TAXES: INCENTIVES AND ASSUMPTIONS1 Matthew Berman In a recent analysis comparing the current oil production tax, More Alaska Production Act (MAPA, also known as SB 21 oil prices, production rates, and costs. He noted that comparative revenues are highly sensitive

Pantaleone, Jim

151

Reasoning by Assumption: Formalisation and Analysis of Human Reasoning Traces  

E-Print Network [OSTI]

for the traces acquired in experiments undertaken. 1 Introduction Practical reasoning processes are often not limited to single reasoning steps, but extend to traces or trajectories of a number of interrelated by assumption'. This (non-deductive) practical reasoning pattern in- volves a number of interrelated reasoning

Treur, Jan

152

Flying Squirrels and Houses  

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

Flying Squirrels and Houses Flying Squirrels and Houses Name: Kathy Location: N/A Country: N/A Date: N/A Question: How do you get rid of flying squirrels in the attic of a Cape style home that has limited access to the attic? There is blown in insulation so we cannot see to the end of the house where we hear them, nor can a person crawl in to see anything. We have used d-con bars, mouse traps and have-a-heart traps in the crawl spaces we can reach, but have caught nothing. Replies: Place a statue of an owl near the entrance the squirrels are using. Owls are their motal enemies and this technique works for birds as well. Steve Sample You will not be able to solve this problem until you find the way they go in and out. Usually the easiest way is to look for light coming in from outside while in the dark attic, but if you can't see it that way do a thorough search of the outside. A flying squirrel does not need a very big hole, maybe 2" or less diameter. They go out at night so once you find the hole close it up at night while they are out. Good luck.

153

New Whole-House Solutions Case Study: Imagine Homes, San Antonio...  

Energy Savers [EERE]

every house they build. KEY ENERGY-EFFICIENCY MEASURES HVAC: * 92% AFUE natural gas-fired furnace; 15 SEER split-system AC unit * Sheet metal trunk and R-6 flex duct branches...

154

Assumption Parish, Louisiana: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Assumption Parish, Louisiana: Energy Resources Assumption Parish, Louisiana: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 29.9232544°, -91.09694° 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":29.9232544,"lon":-91.09694,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

155

PROJECT MANGEMENT PLAN EXAMPLES Policy & Operational Decisions, Assumptions  

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

Policy & Operational Decisions, Assumptions Policy & Operational Decisions, Assumptions and Strategies Examples 1 & 2 Example 1 1.0 Summary The 322-M Metallurgical Laboratory is currently categorized as a Radiological Facility. It is inactive with no future DOE mission. In May of 1998 it was ranked Number 45 in the Inactive Facilities Risk Ranking database which the Facilities Decommissioning Division maintains. A short-term surveillance and maintenance program is in-place while the facility awaits final deactivation. Completion of the end points described in this deactivation project plan will place the 322-M facility into an End State that can be described as "cold and dark". The facility will be made passively safe requiring minimal surveillance and no scheduled maintenance.

156

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

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

Cost and Performance Cost and Performance Assumptions for Modeling Electricity Generation Technologies Rick Tidball, Joel Bluestein, Nick Rodriguez, and Stu Knoke ICF International Fairfax, Virginia Subcontract Report NREL/SR-6A20-48595 November 2010 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Cost and Performance Assumptions for Modeling Electricity Generation Technologies Rick Tidball, Joel Bluestein, Nick Rodriguez, and Stu Knoke ICF International Fairfax, Virginia NREL Technical Monitor: Jordan Macknick

157

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7, DOE/EIA- 7, DOE/EIA- M068(2007). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described. EMM Regions The supply regions used in EMM are based on the North American Electric Reliability Council regions and

158

Assumptions to the Annual Energy Outlook 2000 - Errata  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the Annual Energy Outlook 2000 Assumptions to the Annual Energy Outlook 2000 as of 4/4/2000 1. On table 20 "the fractional fuel efficiency change for 4-Speed Automatic" should be .045 instead of .030. On table 20 "the fractional fuel efficiency change for 5-Speed Automatic" should be .065 instead of .045. (Change made on 3/6/2000) 2. Table 28 should be labeled: "Alternative-Fuel Vehicle Attribute Inputs for Compact Cars for Two Stage Logit Model". (Change made on 3/6/2000) 3. The capital costs in Table 29 should read 1998 dollars not 1988 dollars. (Change made on 3/6/2000) 4. Table 37 changed the label "Year Available" to "First Year Completed." Changed the second sentence of Footnote 1 to read "these estimates are costs of new projects

159

EIA - Assumptions to the Annual Energy Outlook 2009 - Petroleum Market  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumptions to the Annual Energy Outlook 2009 Petroleum Market Module Figure 9., Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. Table 11.1. Petroleum Product Categories. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Table 11.2. Year Round Gasoline Specifications by Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Table 11.3. Gasolline Sulfur Content Assumptions, by Region and Gasoline Type, Parts per Million (PPM). Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version

160

Public Key Cryptography and Key Management  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

The use and management of certificate-based public key cryptography for the Department of Energy (DOE) requires the establishment of a public key infrastructure (PKI). This chapter defines the policy related to roles, requirements, and responsibilities for establishing and maintaining a DOE PKI and the documentation necessary to ensure that all certificates are managed in a manner that maintains the overall trust required to support a viable PKI. Canceled by DOE N 251.112.

2000-02-15T23:59:59.000Z

Note: This page contains sample records for the topic "key assumptions housing" 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

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2006 The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2006, DOE/EIA- M068(2006). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

162

EIA - Assumptions to the Annual Energy Outlook 2008 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2008 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2008, DOE/EIA-M068(2008). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

163

Assumptions to the Annual Energy Outlook - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumption to the Annual Energy Outlook Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2004, DOE/EIA- M068(2004). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

164

The 2005 Solar D House  

E-Print Network [OSTI]

. UT Solar D House This isnt the only technology that makes life easier in this house. Besides a bevy of energy efficient appliances and lighting, which reduce energy costs, theres so much more. Even the appliances contribute, with features...-profit, where the house will be used as a learning center for low-income families as transitional housing. As part of their mission statement, the UT SolarD Team hopes to inspire the Austin public about the benefits of solar-powered, energy...

Garrison, M.

2006-01-01T23:59:59.000Z

165

Developing a decision model to describe levels of self-directedness based upon the key assumptions of andragogy  

E-Print Network [OSTI]

-directed learning readiness level of students enrolled in the course. A report will be generated to show matches and mismatches between the instructor??s teaching style and the self-directed learning readiness level of the students. A decision model...

Richards, Lance Jonathan

2005-11-01T23:59:59.000Z

166

President Obama Announces More Key Administration Posts | Department of  

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

President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts April 17, 2009 - 12:00am Addthis WASHINGTON, DC - Today, President Barack Obama announced his intent to nominate the following individuals for key administration posts: Christine M. Griffin, Deputy Director of Office of Personnel Management; Kevin Concannon, Under Secretary for Food, Nutrition and Consumer Services, United States Department of Agriculture; Rajiv Shah, Under Secretary for Research, Education, and Economics, United States Department of Agriculture; Michael Nacht, Assistant Secretary of Defense (Global Strategic Affairs), Department of Defense; Mercedes Márquez, Assistant Secretary for Community Planning and Development, Department of Housing and

167

DOE Announces More Key Administration Posts | Department of Energy  

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

More Key Administration Posts More Key Administration Posts DOE Announces More Key Administration Posts March 27, 2009 - 12:00am Addthis WASHINGTON, DC - Today, President Barack Obama announced his intent to nominate the following individuals to key administration posts: Ray Mabus, Secretary of the Navy, Department of Defense; Donald Remy, General Counsel of the Army, Department of Defense; J. Randolph Babbitt, Administrator, Federal Aviation Administration; Jose D. Riojas, Assistant Secretary for Operations, Security and Preparedness, Department of Veterans Affairs; John Trasviña, Assistant Secretary for Fair Housing and Equal Opportunity, Department of Housing and Urban Development; Lawrence E. Strickling, Assistant Secretary for Communications and Information, Department of Commerce; and Cathy Zoi, Assistant Secretary for Energy Efficiency and

168

Assumptions to the Annual Energy Outlook - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumption to the Annual Energy Outlook Petroleum Market Module Figure 8. Petroleum Administration for Defense Districts. Having problems, call our National Energy Information Center at 202-586-8800 for help. The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohols, ethers, and bioesters natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of U.S. refining

169

Assumptions to the Annual Energy Outlook - Household Expenditures Module  

Gasoline and Diesel Fuel Update (EIA)

Household Expenditures Module Household Expenditures Module Assumption to the Annual Energy Outlook Household Expenditures Module Figure 5. United States Census Divisions. Having problems, call our National Energy Information Center at 202-586-8800 for help. The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and demographic characteristics, and consumption and expenditures for fuels for various end-uses. These data are combined with NEMS forecasts of household disposable income, fuel consumption, and fuel expenditures by end-use and household type. The HEM disaggregation algorithm uses these combined results to forecast household fuel consumption and expenditures by income quintile and Census Division (see

170

Diversion assumptions for high-powered research reactors  

SciTech Connect (OSTI)

This study deals with diversion assumptions for high-powered research reactors -- specifically, MTR fuel; pool- or tank-type research reactors with light-water moderator; and water, beryllium, or graphite reflectors, and which have a power level of 25 MW(t) or more. The objective is to provide assistance to the IAEA in documentation of criteria and inspection observables related to undeclared plutonium production in the reactors described above, including: criteria for undeclared plutonium production, necessary design information for implementation of these criteria, verification guidelines including neutron physics and heat transfer, and safeguards measures to facilitate the detection of undeclared plutonium production at large research reactors.

Binford, F.T.

1984-01-01T23:59:59.000Z

171

THE WHITE HOUSE  

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

WASHINGTON August 29, 1994 MEMORANDUM FOR CABINET MEMBER AND FULL-TIME EXECUTIVE BRANCH PRESIDENTIAL APPOINTEES FROM: LLOYD N. CUTLER SPECIAL COUNSEL TO THE PRESIDENT SUBJECT: Use of Company Aircraft and Accommodations As Presidential appointees, the actions we take reflect directly upon this Administration and on the President. We must therefore adhere strictly to the Standards of Ethical Conduct for Employees of the Executive Branch (Standards), 5. C.F.R. Part 2635. In addition, we must meet the even higher standard of avoiding conduct, however lawful, that public opinion regards as inappropriate for a Presidential appointee. In this spirit, the White House Chief of Staff has directed me to issue the following policy on the use, by Cabinet members and other full-time Executive Branch Presidential

172

Information House Committee on Transportation  

E-Print Network [OSTI]

. The energy efficiency and environmental advantage of rail over trucks are well established in terms Information For the House Committee on Transportation House Committee with the Port of Houston ranking as the largest port in the US in terms of import tonnage. The Gulf

173

Viable Algae in House Dust  

Science Journals Connector (OSTI)

... two culture media: Bristol8 and modified Chu No. 10 (ref. 9). Viable algae were cultured from all the dust samples taken from forty -one homes. In these ... 1). Samples from three commercial producers of house dust allergenic extract also revealed viable algae (Table 2). In general, the algal organisms found in house dust used in ...

I. LEONARD BERNSTEIN; ROBERT S. SAFFERMAN

1970-08-22T23:59:59.000Z

174

Software and House Requirements Engineering  

E-Print Network [OSTI]

a requirements engineer who puts her knowledge of software construction together with her creativity to come upSoftware and House Requirements Engineering: Lessons Learned in Combatting Requirements Creep creativity to try to come up with a plan for a house that will meet the customer's requirements. The customer

Berry, Daniel M.

175

The European Passive House Concept  

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

The European Passive House Concept The European Passive House Concept Speaker(s): Nabih Tahan Date: January 13, 2009 - 12:00pm Location: 90-3122 Nabih will describe the European Passive House concept and modern, home manufacturing methods in Austria. The Passive House is a European standard for a specific way to build a house that consumes very little energy, is comfortable and has a high indoor air quality. It is a cost effective method of building, where conventional heating systems are eliminated, and their cost is reinvested in super insulation, super air-tightness and heat recovery. Free heat generated from electrical and gas appliances and lighting is recycled through the heat recovery ventilator. This results in buildings that consume 80% to 90% less heating energy while constantly

176

Assumptions to the Annual Energy Outlook 2000 - Electricity Market Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module (EMM) represents the planning, operations, and pricing of electricity in the United States. It is composed of four primary submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. In addition, nonutility generation and supply and electricity transmission and trade are represented in the planning and dispatching submodules. Electricity Market Module (EMM) represents the planning, operations, and pricing of electricity in the United States. It is composed of four primary submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. In addition, nonutility generation and supply and electricity transmission and trade are represented in the planning and dispatching submodules. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. The major assumptions are summarized below.

177

Assumptions to the Annual Energy Outlook 1999 - Natural Gas Transmission  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by obtaining market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. In addition, natural gas flow patterns are a function of the pattern in the previous year, coupled with the relative prices of gas supply options as translated to the represented market “hubs.” The major assumptions used within the NGTDM are grouped into five general categories. They relate to (1) the classification of demand into core and noncore transportation service classes, (2) the pricing of transmission and distribution services, (3) pipeline and storage capacity expansion and utilization, (4) the implementation of recent regulatory reform, and (5) the implementation of provisions of the Climate Change Action Plan (CCAP). A complete listing of NGTDM assumptions and in-depth methodology descriptions are presented in Model Documentation Report: Natural Gas Transmission and Distribution Model of the National Energy Modeling System, DOE/EIA-MO62/1, January 1999.

178

Assumptions to the Annual Energy Outlook 2000 - Natural Gas Transmission  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. In addition, natural gas flow patterns are a function of the pattern in the previous year, coupled with the relative prices of gas supply options as translated to the represented market “hubs.” The major assumptions used within the NGTDM are grouped into five general categories. They relate to (1) the classification of demand into core and noncore transportation service classes, (2) the pricing of transmission and distribution services, (3) pipeline and storage capacity expansion and utilization, (4) the implementation of recent regulatory reform, and (5) the implementation of provisions of the Climate Change Action Plan (CCAP). A complete listing of NGTDM assumptions and in-depth methodology descriptions are presented in Model Documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System, Model Documentation 2000, DOE/EIA-M062(2000), January 2000.

179

The contour method cutting assumption: error minimization and correction  

SciTech Connect (OSTI)

The recently developed contour method can measure 2-D, cross-sectional residual-stress map. A part is cut in two using a precise and low-stress cutting technique such as electric discharge machining. The contours of the new surfaces created by the cut, which will not be flat if residual stresses are relaxed by the cutting, are then measured and used to calculate the original residual stresses. The precise nature of the assumption about the cut is presented theoretically and is evaluated experimentally. Simply assuming a flat cut is overly restrictive and misleading. The critical assumption is that the width of the cut, when measured in the original, undeformed configuration of the body is constant. Stresses at the cut tip during cutting cause the material to deform, which causes errors. The effect of such cutting errors on the measured stresses is presented. The important parameters are quantified. Experimental procedures for minimizing these errors are presented. An iterative finite element procedure to correct for the errors is also presented. The correction procedure is demonstrated on experimental data from a steel beam that was plastically bent to put in a known profile of residual stresses.

Prime, Michael B [Los Alamos National Laboratory; Kastengren, Alan L [ANL

2010-01-01T23:59:59.000Z

180

EIA-Assumptions to the Annual Energy Outlook - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module Assumptions to the Annual Energy Outlook 2007 Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2007, DOE/EIA-M060(2007) (Washington, DC, 2007). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, and the cost of factor inputs (labor and fuel).

Note: This page contains sample records for the topic "key assumptions housing" 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

EIA - Assumptions to the Annual Energy Outlook 2010 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module Assumptions to the Annual Energy Outlook 2010 Coal Market Module The NEMS Coal Market Module (CMM) provides projections of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2010, DOE/EIA-M060(2010) (Washington, DC, 2010). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the projection. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, the cost of factor inputs (labor and fuel), and other mine supply costs.

182

EIA - Assumptions to the Annual Energy Outlook 2008 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module Assumptions to the Annual Energy Outlook 2008 Coal Market Module The NEMS Coal Market Module (CMM) provides projections of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2008, DOE/EIA-M060(2008) (Washington, DC, 2008). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the projection. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, and the cost of factor inputs (labor and fuel).

183

Multi-Family Housing Loans and Grants  

Broader source: Energy.gov [DOE]

Multi-family housing programs offer rural rental housing loans to provide affordable multi-family rental housing for very low-, low-, and moderate-income families, the elderly, and persons with...

184

PPPL Open House | Princeton Plasma Physics Lab  

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

June 1, 2013, 9:00am to 4:00pm Open House at Princeton Plasma Physics Laboratory PPPL Open House Hot Plasma, Cool Science: Princeton Plasma Physics Lab Open House on June 1 Mark...

185

Open House | Princeton Plasma Physics Lab  

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

Contact Us Open House PPPL Open House Saturday, June 1 9 a.m. to 4 p.m. Princeton Plasma Physics Laboratory 100 Stellarator Road Princeton, NJ, 08540 OPEN HOUSE PROGRAM BOOKLET...

186

Building Technologies Office: House Simulation Protocols Report  

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

House Simulation House Simulation Protocols Report to someone by E-mail Share Building Technologies Office: House Simulation Protocols Report on Facebook Tweet about Building Technologies Office: House Simulation Protocols Report on Twitter Bookmark Building Technologies Office: House Simulation Protocols Report on Google Bookmark Building Technologies Office: House Simulation Protocols Report on Delicious Rank Building Technologies Office: House Simulation Protocols Report on Digg Find More places to share Building Technologies Office: House Simulation Protocols Report on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Research Innovations Research Tools Building Science Education Climate-Specific Guidance Solution Center

187

Building Technologies Office: Housing Innovation Awards  

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

Housing Innovation Housing Innovation Awards to someone by E-mail Share Building Technologies Office: Housing Innovation Awards on Facebook Tweet about Building Technologies Office: Housing Innovation Awards on Twitter Bookmark Building Technologies Office: Housing Innovation Awards on Google Bookmark Building Technologies Office: Housing Innovation Awards on Delicious Rank Building Technologies Office: Housing Innovation Awards on Digg Find More places to share Building Technologies Office: Housing Innovation Awards 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 Partner Log In Become a Partner Criteria Partner Locator

188

" Million U.S. Housing Units"  

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

0 Home Appliances Usage Indicators by Number of Household Members, 2005" " Million U.S. Housing Units" ,,"Number of Households With --" ,"Housing Units (millions)" ,,"1 Member","2...

189

" Million U.S. Housing Units"  

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

0 Home Appliances Usage Indicators by Year of Construction, 2005" " Million U.S. Housing Units" ,,"Year of Construction" ,"Housing Units (millions)" ,,"Before 1940","1940 to...

190

Better Buildings Challenge Expands to Multifamily Housing  

Broader source: Energy.gov [DOE]

The U.S. Departments of Energy and Housing and Urban Development expanded the Better Buildings Challenge to multifamily housing such as apartments and condominiums.

191

Million U.S. Housing Units Total...............................  

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

CDD or More and Less than 4,000 HDD Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

192

Before the House Subcommittee on Investigations & Oversight ...  

Energy Savers [EERE]

House Subcommittee on Investigations & Oversight - Committee on Science, Space, and Technology Before the House Subcommittee on Investigations & Oversight - Committee on Science,...

193

Assumptions to the Annual Energy Outlook 1999 - Table 1  

Gasoline and Diesel Fuel Update (EIA)

Summary of AEO99 Cases Summary of AEO99 Cases Case Name Description Integration mode Reference Baseline economic growth, world oil price, and technology assumptions Fully Integrated Low Economic Growth Gross Domestic product grows at an average annual rate of 1.5 percent, compared to the reference case growth of 2.1 percent. Fully Integrated High Economic Growth Gross domestic product grows at an average annual rate of 2.6 percent, compared to the reference case growth of 2.1 percent. Fully Integrated Low World Oil Price World oil prices are $14.57 per barrel in 2020, compared to $22.73 per barrel in the reference case. Partially Integrated High World Oil Price World oil prices are $29.35 per barrel in 2020, compared to $22.73 per barrel in the reference case. Partially Integrated Residential: 1999 Technology

194

EIA - Assumptions to the Annual Energy Outlook 2009 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2009 Electricity Market Module figure 6. Electricity Market Model Supply Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2009, DOE/EIA-M068(2009). Based on fuel prices and electricity demands provided by the other modules

195

EIA - Assumptions to the Annual Energy Outlook 2008 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2008 Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and Distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

196

Assumptions to the Annual Energy Outlook - Transportation Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumption to the Annual Energy Outlook Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, sport utility vehicles and vans), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger airplanes, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

197

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2006 The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 12 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS27 data.

198

EIA - Assumptions to the Annual Energy Outlook 2008 - Petroleum Market  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumptions to the Annual Energy Outlook 2008 Petroleum Market Module Figure 9. Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Petroleum Market Module (PMM) projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, unfinished oil imports, other refinery inputs (including alcohols, ethers, bioesters, corn, biomass, and coal), natural gas plant liquids production, and refinery processing gain. In addition, the PMM projects capacity expansion and fuel consumption at domestic refineries. The PMM contains a linear programming (LP) representation of U.S. refining

199

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2006 The International Energy Module determines changes in the world oil price and the supply prices of crude oils and petroleum products for import to the United States in response to changes in U.S. import requirements. A market clearing method is used to determine the price at which worldwide demand for oil is equal to the worldwide supply. The module determines new values for oil production and demand for regions outside the United States, along with a new world oil price that balances supply and demand in the international oil market. A detailed description of the International Energy Module is provided in the EIA publication, Model Documentation Report: The International Energy Module of the National Energy Modeling System, DOE/EIA-M071(06), (Washington, DC, February 2006).

200

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2006 The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption isthe sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

Note: This page contains sample records for the topic "key assumptions housing" 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

EIA - Assumptions to the Annual Energy Outlook 2008 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2008 Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

202

EIA - Assumptions to the Annual Energy Outlook 2010 - International Energy  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2010 International Energy Module Figure 2. World Oil Prices in Three Cases, 1995-2035 Figure 2. World Oil Prices in three Cases, 1995-2035 (2008 dollars per barrel). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 3. OPEC Total Liquids Production in the Reference Case, 1980-2035 Figure 3. OPEC Total Liquids Production in the Reference Case, 1995-2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 4. Non-OPEC Total Liquids Production in the Reference Case, 1980-2035 Figure 4. Non-OPEC Total Liquids Production in the Reference Case, 1995-2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800.

203

EIA - Assumptions to the Annual Energy Outlook 2009 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2009 Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

204

EIA - Assumptions to the Annual Energy Outlook 2009 - International Energy  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2009 International Energy Module Figure 2. World Oil Prices in three Cases, 1995-2030 (2006 dollars per barrel). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 3. OPEC Total Liquids Production in the Reference Case, 1995-2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 4. Non-OPEC Total Liquids Production in the Reference Case, 1995-2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800. figure data The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads exogenously global and U.S.A. petroleum liquids

205

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2006 The NEMS Commercial Sector Demand Module generates forecasts of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.14

206

EIA - Assumptions to the Annual Energy Outlook 2008 - Industrial Demand  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2008 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 21 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module projects energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region projection using the SEDS1 data.

207

Assumptions to the Annual Energy Outlook - International Energy Module  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumption to the Annual Energy Outlook International Energy Module Figure 2. World Oil Prices in three Cases, 1970-2025. Having problems, call our National Energy Information Center at 202-586-8800 for help. Figure Data Figure 3. OPEC Oil Production in the Reference Case, 1970-2025. Having problems, call our National Energy Information Center at 202-586-8800 for help. Figure Data Figure 4. Non-OPEC Production in the Reference Case, 1970-2025. Having problems, call our National Energy Information Center at 202-586-8800 for help. Figure Data Table 4. Worldwide Oil Reserves as of January 1, 2002 (Billion Barrels) Printer Friendly Version Region Proved Oil Reserves Western Hemisphere 313.6 Western‘Europe 18.1 Asia-Pacific 38.7

208

Assumptions to the Annual Energy Outlook - Natural Gas Transmission and  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumption to the Annual Energy Outlook Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and Distribution Model Regions. Having problems, call our National Energy Information Center at 202-586-8800 for help. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

209

EIA - Assumptions to the Annual Energy Outlook 2008 - Commercial Demand  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2008 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.1

210

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumptions to the Annual Energy Outlook 2006 Figure 7. Oil and Gas Supply Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply on a regional basis (Figure 7). A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2006), (Washington, DC, 2006). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural Gas Transmission and Distribution Module and the Petroleum Market Module. The OGSM simulates the activity of numerous firms that produce oil and natural

211

Assumptions to the Annual Energy Outlook - Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumption to the Annual Energy Outlook Industrial Demand Module Table 17. Industry Categories Printer Friendly Version Energy-Intensive Manufacturing Nonenergy-Intensive Manufacturing Nonmanufacturing Industries Food and Kindred Products (NAICS 311) Metals-Based Durables (NAICS 332-336) Agricultural Production -Crops (NAICS 111) Paper and Allied Products (NAICS 322) Balance of Manufacturing (all remaining manufacturing NAICS) Other Agriculture Including Livestock (NAICS112- 115) Bulk Chemicals (NAICS 32B) Coal Mining (NAICS 2121) Glass and Glass Products (NAICS 3272) Oil and Gas Extraction (NAICS 211) Hydraulic Cement (NAICS 32731) Metal and Other Nonmetallic Mining (NAICS 2122- 2123) Blast Furnaces and Basic Steel (NAICS 331111) Construction (NAICS233-235)

212

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

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2009 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.1

213

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

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2009 Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight, rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

214

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

clothes drying, ceiling fans, coffee makers, spas, home security clothes drying, ceiling fans, coffee makers, spas, home security systems, microwave ovens, set-top boxes, home audio equipment, rechargeable electronics, and VCR/DVDs. In addition to the major equipment-driven end-uses, the average energy consumption per household is projected for other electric and nonelectric appliances. The module's output includes number Energy Information Administration/Assumptions to the Annual Energy Outlook 2007 19 Pacific East South Central South Atlantic Middle Atlantic New England West South Central West North Central East North Central Mountain AK WA MT WY ID NV UT CO AZ NM TX OK IA KS MO IL IN KY TN MS AL FL GA SC NC WV PA NJ MD DE NY CT VT ME RI MA NH VA WI MI OH NE SD MN ND AR LA OR CA HI Middle Atlantic New England East North Central West North Central Pacific West South Central East South Central

215

EIA - Assumptions to the Annual Energy Outlook 2009 - Renewable Fuels  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module Assumptions to the Annual Energy Outlook 2009 Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for projections of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources, biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind1. Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as water, wind, and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was one of the first electric generation technologies, to newer power systems using biomass, geothermal, LFG, solar, and wind energy.

216

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

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2009 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services [1].

217

Assumptions to the Annual Energy Outlook 1999 - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

petroleum.gif (4999 bytes) petroleum.gif (4999 bytes) The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohol and ethers, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of refining activities in three U.S. regions. This representation provides the marginal costs of production for a number of traditional and new petroleum products. The linear programming results are used to determine end-use product prices for each Census Division using the assumptions and methods described below. 75

218

EIA - Assumptions to the Annual Energy Outlook 2010 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2010 Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and

219

EIA - Assumptions to the Annual Energy Outlook 2010 - Petroleum Market  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumptions to the Annual Energy Outlook 2010 Petroleum Market Module The NEMS Petroleum Market Module (PMM) projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, unfinished oil imports, other refinery inputs (including alcohols, ethers, bioesters, corn, biomass, and coal), natural gas plant liquids production, and refinery processing gain. In addition, the PMM projects capacity expansion and fuel consumption at domestic refineries. Figure 9. Petroleum Administration for Defense Districts. The PMM contains a linear programming (LP) representation of U.S. refining activities in the five Petroleum Area Defense Districts (PADDs) (Figure 9),

220

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

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2009 Industrial Demand Module Table 6.1. Industry Categories. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Table 6.2.Retirement Rates. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process flow or end use accounting

Note: This page contains sample records for the topic "key assumptions housing" 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

Public housing renovation : an opportunity for a better housing environment  

E-Print Network [OSTI]

The central hypothesis of this study is that the current renovation program of public housing projects is based on a predominantly physical perspective. Understanding the administrative and implementation aspects of the ...

Jordn F., Pablo (Jordn Fuchs)

1984-01-01T23:59:59.000Z

222

Engineer in the White House  

Science Journals Connector (OSTI)

... of Staff at the White House is a powerful figure. The present incumbent, Mr John Sununu, has the distinction of having himself run for elected office and of being ...

John Maddox

1990-03-08T23:59:59.000Z

223

White House Tribal Nations Conference  

Broader source: Energy.gov [DOE]

On December 5, 2012, President Obama will host representatives invited from each of the 566 federally recognized American Indian tribes, and Alaska Native Villages, at the 2012 White House Tribal...

224

White House Conference on Global Climate Change  

SciTech Connect (OSTI)

President Clinton has directed the White House office on Environmental Policy to coordinate an interagency process to develop a plan to fulfill the commitment he made in his Earth Day address on April 21, 1993. This plan will become the cornerstone of the Climate Change Plan that will be completed shortly after the Rio Accord enters into force. The Office on Environmental Policy established the Interagency Climate Change Mitigation Group to draw on the expertise of federal agencies including the National Economic Council; the Council of Economic Advisors; the Office of Science and Technology Policy; the Office of Management and Budget; the National Security Council; the Domestic Policy Council; the Environmental Protection Agency; and the Departments of Energy, Transportation, Agriculture, Interior, Treasury, Commerce, and State. Working groups have been established to examine six key policy areas: energy demand, energy supply, joint implementation, methane and other gases, sinks, and transportation. The purpose of the White House Conference on Global Climate Change was to ``tap the real-world experiences`` of diverse participants and seek ideas and information for meeting the President`s goals. During the opening session, senior administration officials defined the challenge ahead and encouraged open and frank conversation about the best possible ways to meet it.

Not Available

1993-11-01T23:59:59.000Z

225

EIA - Assumptions to the Annual Energy Outlook 2008 - International Energy  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2008 International Energy Module The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads exogenously global and U.S.A. petroleum liquids supply and demand curves (1 curve per year; 2008-2030; approximated, isoelastic fit to previous NEMS results). These quantities are not modeled directly in NEMS. Previous versions of the IEM adjusted these quantities after reading in initial values. In an attempt to more closely integrate the AEO2008 with IEO2007 and the STEO some functionality was removed from IEM while a new algorithm was implemented. Based on the difference between U.S. total petroleum liquids production (consumption) and the expected U.S. total liquids production (consumption) at the current WTI price, curves for global petroleum liquids consumption (production) were adjusted for each year. According to previous operations, a new WTI price path was generated. An exogenous oil supply module, Generate World Oil Balances (GWOB), was also used in IEM to provide annual regional (country) level production detail for conventional and unconventional liquids.

226

Assumptions to the Annual Energy Outlook 2000 - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohol and ethers, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohol and ethers, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of refining activities in three U.S. regions. This representation provides the marginal costs of production for a number of traditional and new petroleum products. The linear programming results are used to determine end-use product prices for each Census Division using the assumptions and methods described below.100

227

Assumptions to the Annual Energy Outlook - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module Assumption to the Annual Energy Outlook Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for forecasts of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has five submodules representing various renewable energy sources, biomass, geothermal, landfill gas, solar, and wind; a sixth renewable, conventional hydroelectric power, is represented in the Electricity Market Module (EMM).109 Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as wind and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was an original source of electricity generation, to newer power systems using biomass, geothermal, LFG, solar, and wind energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittency, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon low-cost energy storage.

228

EIA - Assumptions to the Annual Energy Outlook 2008 - Renewable Fuels  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module Assumptions to the Annual Energy Outlook 2008 Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for projections of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources, biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind1. Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as water, wind, and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was one of the first electric generation technologies, to newer power systems using biomass, geothermal, LFG, solar, and wind energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittency, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon the availability of low-cost energy storage systems.

229

Comparison of risk-dominant scenario assumptions for several TRU waste facilities in the DOE complex  

SciTech Connect (OSTI)

In order to gain a risk management perspective, the DOE Rocky Flats Field Office (RFFO) initiated a survey of other DOE sites regarding risks from potential accidents associated with transuranic (TRU) storage and/or processing facilities. Recently-approved authorization basis documents at the Rocky Flats Environmental Technology Site (RFETS) have been based on the DOE Standard 3011 risk assessment methodology with three qualitative estimates of frequency of occurrence and quantitative estimates of radiological consequences to the collocated worker and the public binned into three severity levels. Risk Class 1 and 2 events after application of controls to prevent or mitigate the accident are designated as risk-dominant scenarios. Accident Evaluation Guidelines for selection of Technical Safety Requirements (TSRs) are based on the frequency and consequence bin assignments to identify controls that can be credited to reduce risk to Risk Class 3 or 4, or that are credited for Risk Class 1 and 2 scenarios that cannot be further reduced. This methodology resulted in several risk-dominant scenarios for either the collocated worker or the public that warranted consideration on whether additional controls should be implemented. RFFO requested the survey because of these high estimates of risks that are primarily due to design characteristics of RFETS TRU waste facilities (i.e., Butler-type buildings without a ventilation and filtration system, and a relatively short distance to the Site boundary). Accident analysis methodologies and key assumptions are being compared for the DOE sites responding to the survey. This includes type of accidents that are risk dominant (e.g., drum explosion, material handling breach, fires, natural phenomena, external events, etc.), source term evaluation (e.g., radionuclide material-at-risk, chemical and physical form, damage ratio, airborne release fraction, respirable fraction, leakpath factors), dispersion analysis (e.g., meteorological assumptions, distance to receptors, plume meander, deposition, and other factors affecting the calculated {chi}/Q), dose assessments (specific activities, inhalation dose conversion factors, breathing rates), designated frequency of occurrence, and risk assignment per the DOE Standard 3011 methodology. Information from the sites is being recorded on a spreadsheet to facilitate comparisons. The first response from Westinghouse Safety Management Solutions for the Savannah River Site (SRS) also provided a detailed analysis of the major differences in methods and assumptions between RFETS and SRS, which forms much of the basis for this paper. Other sites responding to the survey include the Idaho National Engineering and Environmental Laboratory (INEEL), Hanford, and the Los Alamos National Laboratory (LANL).

Foppe, T.L. [Foppe and Associates, Inc., Golden, CO (United States); Marx, D.R. [Westinghouse Safety Management Solutions, Inc., Aiken, SC (United States)

1999-06-01T23:59:59.000Z

230

Assumptions to the Annual Energy Outlook 2001 - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module

231

Assumptions to the Annual Energy Outlook 1999 - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

macroeconomic.gif (5367 bytes) macroeconomic.gif (5367 bytes) The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065, (Washington, DC, February 1994).

232

Assumptions to the Annual Energy Outlook 2002 - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module

233

Assumptions to the Annual Energy Outlook 2000 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065, (Washington, DC, February 1994), plus Macroeconomic Activity Module (MAM): Kernel Regression Documentation of the National Energy Modeling System 1999, DOE/EIA-M065(99), Washington, DC, 1999).

234

ARM - Key Science Questions  

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

govScienceKey Science Questions govScienceKey Science Questions Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) ARM Science Team Meetings User Meetings Annual Meetings of the Atmospheric System Research (ASR) Science Team and Fall Working Groups Accomplishments Read about the 20 years of accomplishments (PDF, 696KB) from the ARM Program and user facility. Performance Metrics ASR Metrics 2009 2008 2007 2006 Key Science Questions The role of clouds and water vapor in climate change is not well understood; yet water vapor is the largest greenhouse gas and directly affects cloud cover and the propagation of radiant energy. In fact, there may be positive feedback between water vapor and other greenhouse gases. Carbon dioxide and other gases from human activities slightly warm the

235

On the self-similarity assumption in dynamic models for large eddy simulations  

E-Print Network [OSTI]

that the present formulation of the DP is usually incompatible with its under- lying self-similarity assumption SSAOn the self-similarity assumption in dynamic models for large eddy simulations Daniele Carati eddy simulations and their underlying self-similarity assumption is discussed. The interpretation

Van Den Eijnden, Eric

236

President Obama Announces More Key Administration Posts | Department of  

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

More Key Administration Posts More Key Administration Posts President Obama Announces More Key Administration Posts July 8, 2011 - 12:00am Addthis THE WHITE HOUSE Office of the Press Secretary WASHINGTON - Today, President Barack Obama announced his intent to nominate the following individuals to key Administration posts: Michael A. Hammer, Assistant Secretary for Public Affairs, Department of State Charles McConnell, Assistant Secretary for Fossil Energy, Department of Energy The President also announced his intent to appoint the following individuals to key Administration posts: Terry Guen, Member, Advisory Council on Historic Preservation Dorothy T. Lippert, Member, Advisory Council on Historic Preservation Rosemary A. Joyce, Member, Cultural Property Advisory Committee President Obama said, "Our nation will be greatly served by the talent and

237

HVAC Improvements for Existing Houses  

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

HVAC Improvements for Existing Houses HVAC Improvements for Existing Houses Speaker(s): Chryséis Bovagnet Date: September 5, 2002 - 12:00pm Location: Bldg. 90 Many older houses in the US are either not well designed from a thermal point of view or have HVAC (Heating Ventilation and Air Conditioning) systems in need of repairs or improvements. The building envelopes tend to have poor insulation and lots of leakage, and the HVAC systems are inefficient. The cooling/heating equipment is often located outside of the conditioned space (e.g. in attics or crawlspaces) with ducts that leak and have poor insulation, which cause energy loss and bad occupant comfort on peak days or in extreme climates. We developed a series of retrofits that will allow us to reduce the energy consumption of residential HVAC

238

On-site Housing Rates | Staff Services  

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

Rates Rates Effective February 1, 2013 Rates for Occupancy < 30-Days Guest House* Single/Double: US $105.00/day Housekeeping service is provided on all working days. *Alternatives to the Guest House - When family-type accommodations are assigned to temporary or transient personnel, Guest House rates as set forth above will apply. The total will not exceed one months' rent for a unit occupied for 30 days or less. When such assignment is necessary due to lack of adequate Guest House accommodations, housekeeping service is provided on working days; for reservations staying seven days or less. Residence Houses Curie House: US $42.00/day Cavendish House: US $42.00/day Compton House: US $42.00/day Housekeeping service for all residence houses are provided three times per

239

Cryptographic Key Management System  

SciTech Connect (OSTI)

This report summarizes the outcome of U.S. Department of Energy (DOE) contract DE-OE0000543, requesting the design of a Cryptographic Key Management System (CKMS) for the secure management of cryptographic keys for the energy sector infrastructure. Prime contractor Sypris Electronics, in collaboration with Oak Ridge National Laboratories (ORNL), Electric Power Research Institute (EPRI), Valicore Technologies, and Purdue University's Center for Education and Research in Information Assurance and Security (CERIAS) and Smart Meter Integration Laboratory (SMIL), has designed, developed and evaluated the CKMS solution. We provide an overview of the project in Section 3, review the core contributions of all contractors in Section 4, and discuss bene#12;ts to the DOE in Section 5. In Section 6 we describe the technical construction of the CKMS solution, and review its key contributions in Section 6.9. Section 7 describes the evaluation and demonstration of the CKMS solution in different environments. We summarize the key project objectives in Section 8, list publications resulting from the project in Section 9, and conclude with a discussion on commercialization in Section 10 and future work in Section 11.

No, author

2014-02-21T23:59:59.000Z

240

Before the House Natural Resources Subcommittee on Water and...  

Energy Savers [EERE]

House Natural Resources Subcommittee on Water and Power Before the House Natural Resources Subcommittee on Water and Power Before the House Natural Resources Subcommittee on Water...

Note: This page contains sample records for the topic "key assumptions housing" 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

Before the House Natural Resources Subcommittee on Water and...  

Energy Savers [EERE]

the House Natural Resources Subcommittee on Water and Power Before the House Natural Resources Subcommittee on Water and Power Before the House Natural Resources Subcommittee on...

242

2014 Housing Innovation Awards DOE Challenge Home Application...  

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

2014 Housing Innovation Awards DOE Challenge Home Application 2014 Housing Innovation Awards DOE Challenge Home Application The U.S. Department of Energy's Housing Innovation...

243

Building America Whole-House Solutions for New Homes: Affordable...  

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

New Homes: Affordable Cold Climate Infill Housing with Hybrid Insulation Approach Building America Whole-House Solutions for New Homes: Affordable Cold Climate Infill Housing with...

244

Building America Whole-House Solutions for Existing Homes: Islip...  

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

Islip Housing Authority Energy Efficiency Turnover Protocols, Islip, New York Building America Whole-House Solutions for Existing Homes: Islip Housing Authority Energy Efficiency...

245

Before House Committee on Science, Space, and Technology | Department...  

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

House Committee on Science, Space, and Technology Before House Committee on Science, Space, and Technology Before House Committee on Science, Space, and Technology By: Peter Lyons...

246

Before the House Science, Space, and Technology Committee | Department...  

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

the House Science, Space, and Technology Committee Before the House Science, Space, and Technology Committee Before the House Science, Space, and Technology Committee By: David...

247

Before the House Science and Technology Committee | Department...  

Energy Savers [EERE]

House Science and Technology Committee Before the House Science and Technology Committee Before the House Science and Technology Committee By: Arun Majumdar, Director Advanced...

248

Before House Committee on Science, Space and Technology | Department...  

Office of Environmental Management (EM)

House Committee on Science, Space and Technology Before House Committee on Science, Space and Technology Before House Committee on Science, Space and Technology By: Secretary...

249

Before the House Science and Technology Committee | Department...  

Office of Environmental Management (EM)

House Science and Technology Committee Before the House Science and Technology Committee Before the House Science and Technology Committee By: Warren F. Miller Jr., Assistant...

250

Before the House Science and Technology Subcommittee on Energy...  

Office of Environmental Management (EM)

House Science and Technology Subcommittee on Energy and Environment Before the House Science and Technology Subcommittee on Energy and Environment Before the House Science and...

251

Just Suppose: Housing Subsidies for Low Income Renters  

E-Print Network [OSTI]

bonds Low-income housing tax credit Homeowner Multifamilybonds Low-income housing tax credit Fiscal year Fiscal yearthe Low Income Housing Tax Credit (LIHTC) program to provide

Quigley, John M.

2007-01-01T23:59:59.000Z

252

White House Initiative on Historically Black Colleges and Universities...  

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

White House Initiative on Historically Black Colleges and Universities White House Initiative on Historically Black Colleges and Universities How WHI-HBCU are ran White House...

253

Before House Subcommittee on Water and Power - Committee on Natural...  

Office of Environmental Management (EM)

House Subcommittee on Water and Power - Committee on Natural Resources Before House Subcommittee on Water and Power - Committee on Natural Resources Before House Subcommittee on...

254

Kevin Smith Sutherland House 234  

E-Print Network [OSTI]

Kevin Smith Sutherland House 234 PMB 3342 Nashville, TN 37235 January 27, 2010 Mr. Scott at Kevin.m.smith@vanderbilt.edu or by phone at (543)3843909. Thank you for your consideration. Sincerely, Kevin Smith The cover letter needs to be in business letter format...this includes

Bordenstein, Seth

255

AP Key Accomplishments  

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

Recent Key Accomplishments Recent Key Accomplishments Reduction of Carbon Dioxide Mechanistic insight into CO2 hydrogenation Rapid Transfer of Hydride Ion from a Ruthenium Complex to C1 Species in Water Reversible Hydrogen Storage using CO2 and a Proton-Switchable Iridium Catalyst in Aqueous Media Nickel(II) Macrocycles: Highly Efficient Electrocatalysts for the Selective Reduction of CO2 to CO Calculation of Thermodynamic Hydricities and the Design of Hydride Donors for CO2 Reduction Mechanisms for CO Production from CO2 Using Re(bpy)(CO)3X Catalysts Hydrogen Production Biomass-derived electrocatalytic composites for hydrogen evolution Hydrogen-Evolution Catalysts Based on NiMo Nitride Nanosheets Water Oxidation Enabling light-driven water oxidation via a low-energy RuIV=O intermediate

256

Million U.S. Housing Units Total............................................................................  

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

Attached Attached 2 to 4 Units Table HC2.12 Home Electronics Usage Indicators by Type of Housing Unit, 2005 5 or More Units Mobile Homes Type of Housing Unit Housing Units (millions) Single-Family Units Apartments in Buildings With-- Home Electronics Usage Indicators Detached Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing Units Attached 2 to 4 Units Table HC2.12 Home Electronics Usage Indicators by Type of Housing Unit, 2005 5 or More Units Mobile Homes Type of Housing Unit Housing Units (millions) Single-Family Units Apartments in Buildings With-- Home Electronics Usage Indicators Detached Status of PC When Not in Use Left On..............................................................

257

Million U.S. Housing Units Total...............................  

Gasoline and Diesel Fuel Update (EIA)

... 13.2 10.2 0.6 0.3 1.1 1.1 Table HC2.10 Home Appliances Usage Indicators by Type of Housing Unit, 2005 Housing Units (millions) Single-Family Units...

258

The Malay house : rationale and change  

E-Print Network [OSTI]

The Malay house is defined and described in the Malaysian context . Underlying principles or rules that make up the house are derived from the analysis of its physical, spatial and functional elements and the variations ...

Wan Abidin, Wan Burhanuddin B

1981-01-01T23:59:59.000Z

259

Essays on the household-level effects of house price growth  

E-Print Network [OSTI]

Constructing measures of house price variance . . . . 2.4.4Flip That House? House Price Dynamics and Housing InvestmentHouse Price Data . . . . . . . . . . . . . . . . . . . . .

Sitgraves, Claudia Ayanna

2009-01-01T23:59:59.000Z

260

Lockout housing and sleeve for safety valve  

SciTech Connect (OSTI)

This patent describes apparatus for use in a subsurface valve. It comprises a lockout housing; and a lockout sleeve.

Dickson, R.L.; Davis, G.R.

1992-07-07T23:59:59.000Z

Note: This page contains sample records for the topic "key assumptions housing" 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

Inside the White House: Solar Panels  

Broader source: Energy.gov [DOE]

Go inside the White House and learn about the installation of solar panels on the roof of the residence.

262

Key Activities | Department of Energy  

Energy Savers [EERE]

in several key areas to advance the development and commercialization of hydrogen and fuel cell technologies. Research, Development, and Demonstration Key areas of research,...

263

Federal Housing Administration's Energy Efficient Mortgage Program  

Broader source: Energy.gov [DOE]

Describes the U.S. Department of Housing and Urban Development Energy Efficient Mortgage Program which helps homebuyers or homeowners save money on utility bills by enabling them to finance the cost of adding energy efficiency features to new or existing housing. Authors: U.S. Department of Housing and Urban Development

264

White House Forum on Minorites in Energy  

Broader source: Energy.gov [DOE]

On November 13, 2013, the Department of Energy and the White House Office of Science and Technology Policy, the Council for Environmental Quality, and the White House Office of Public Engagement co-hosted the White House Forum on Minorities in Energy. The event included the announcement of the Ambassadors for the Minorities in Energy Initiative.

265

A DISTRIBUTED SHARED KEY GENERATION PROCEDURE USING FRACTIONAL KEYS  

E-Print Network [OSTI]

A DISTRIBUTED SHARED KEY GENERATION PROCEDURE USING FRACTIONAL KEYS R. Poovendran, M. S. Corson, J}@isr.umd.edu ABSTRACT W e present a new class of distributed key generation and recovery algorithms suitable for group) with a Group Con- troller (GC) which can generate and distribute the keys. However, in these approaches

Baras, John S.

266

Puerto Rico House Tours Report  

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

team of Universidad de Puerto Rico is planning to present team of Universidad de Puerto Rico is planning to present the most interesting tour in Washington. The purpose and the message of the competition, the pride that the team has for their work, their house and their country are the elements that will be combined in order to give all the visitors an amazing and unique experience. The team will communicate through the tours the importance of renewable energy. The Delegation from Puerto Rico is going to show and explain their design in a accurate way, all the features and its benefits. The house tours will serve as a tool to persuade the people to believe in team's mission: To create societal consciousness about the sun as a technological, renewable, clean and feasible source of energy to satisfy present and

267

Remotely serviced filter and housing  

DOE Patents [OSTI]

A filter system for a hot cell comprises a housing adapted for input of air or other gas to be filtered, flow of the air through a filter element, and exit of filtered air. The housing is tapered at the top to make it easy to insert a filter cartridge holds the filter element while the air or other gas is passed through the filter element. Captive bolts in trunnion nuts are readily operated by electromechanical manipulators operating power wrenches to secure and release the filter cartridge. The filter cartridge is adapted to make it easy to change a filter element by using a master-slave manipulator at a shielded window station. 6 figs.

Ross, M.J.; Zaladonis, L.A.

1987-07-22T23:59:59.000Z

268

Remotely serviced filter and housing  

DOE Patents [OSTI]

A filter system for a hot cell comprises a housing adapted for input of air or other gas to be filtered, flow of the air through a filter element, and exit of filtered air. The housing is tapered at the top to make it easy to insert a filter cartridge using an overhead crane. The filter cartridge holds the filter element while the air or other gas is passed through the filter element. Captive bolts in trunnion nuts are readily operated by electromechanical manipulators operating power wrenches to secure and release the filter cartridge. The filter cartridge is adapted to make it easy to change a filter element by using a master-slave manipulator at a shielded window station.

Ross, Maurice J. (Pocatello, ID); Zaladonis, Larry A. (Idaho Falls, ID)

1988-09-27T23:59:59.000Z

269

Evergreen Sustainable Development Standard for Affordable Housing |  

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

Evergreen Sustainable Development Standard for Affordable Housing Evergreen Sustainable Development Standard for Affordable Housing Evergreen Sustainable Development Standard for Affordable Housing < Back Eligibility Low-Income Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Sealing Your Home Cooling Appliances & Electronics Construction Design & Remodeling Ventilation Heat Pumps Commercial Lighting Lighting Water Heating Solar Buying & Making Electricity Program Info State District of Columbia Program Type Green Building Incentive Provider Housing Trust Fund The Washington State Department of Commerce created the Evergreen Sustainable Development Standard, a set of green building criteria that is required for any affordable housing project applying for state funds

270

New Developments in Hog Houses and Equipment.  

E-Print Network [OSTI]

for the central house are the half-monitor and the gable-roof. The half-monitor house should be set lengthwise east and west so that the windows face south, while the gable-roof house should be set lengthwise north and south so that the rays of the sun... will shine through the sky-light windows on the east side in the morning, and those on the west side in the afternoon. The central house is better adapted for one who is in the hog business on a larger scale than the average. This house permits a number...

Hale, Fred; Smith, H. P. (Harris Pearson)

1933-01-01T23:59:59.000Z

271

Key recycling in authentication  

E-Print Network [OSTI]

In their seminal work on authentication, Wegman and Carter propose that to authenticate multiple messages, it is sufficient to reuse the same hash function as long as each tag is encrypted with a one-time pad. They argue that because the one-time pad is perfectly hiding, the hash function used remains completely unknown to the adversary. Since their proof is not composable, we revisit it using a composable security framework. It turns out that the above argument is insufficient: if the adversary learns whether a corrupted message was accepted or rejected, information about the hash function is leaked, and after a bounded finite amount of rounds it is completely known. We show however that this leak is very small: Wegman and Carter's protocol is still $\\epsilon$-secure, if $\\epsilon$-almost strongly universal$_2$ hash functions are used. This implies that the secret key corresponding to the choice of hash function can be reused in the next round of authentication without any additional error than this $\\epsilon$. We also show that if the players have a mild form of synchronization, namely that the receiver knows when a message should be received, the key can be recycled for any arbitrary task, not only new rounds of authentication.

Christopher Portmann

2012-02-06T23:59:59.000Z

272

The house of the future  

ScienceCinema (OSTI)

Learn what it will take to create tomorrow's net-zero energy home as scientists reveal the secrets of cool roofs, smart windows, and computer-driven energy control systems. The net-zero energy home: Scientists are working to make tomorrow's homes more than just energy efficient -- they want them to be zero energy. Iain Walker, a scientist in the Lab's Energy Performance of Buildings Group, will discuss what it takes to develop net-zero energy houses that generate as much energy as they use through highly aggressive energy efficiency and on-site renewable energy generation. Talking back to the grid: Imagine programming your house to use less energy if the electricity grid is full or price are high. Mary Ann Piette, deputy director of Berkeley Lab's building technology department and director of the Lab's Demand Response Research Center, will discuss how new technologies are enabling buildings to listen to the grid and automatically change their thermostat settings or lighting loads, among other demands, in response to fluctuating electricity prices. The networked (and energy efficient) house: In the future, your home's lights, climate control devices, computers, windows, and appliances could be controlled via a sophisticated digital network. If it's plugged in, it'll be connected. Bruce Nordman, an energy scientist in Berkeley Lab's Energy End-Use Forecasting group, will discuss how he and other scientists are working to ensure these networks help homeowners save energy.

None

2010-09-01T23:59:59.000Z

273

Whole-House Ventilation | Department of Energy  

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

Whole-House Ventilation Whole-House Ventilation Whole-House Ventilation May 30, 2012 - 2:37pm Addthis A whole-house ventilation system with dedicated ducting in a new energy-efficient home. | Photo courtesy of ©iStockphoto/brebca. A whole-house ventilation system with dedicated ducting in a new energy-efficient home. | Photo courtesy of ©iStockphoto/brebca. What does this mean for me? Whole-house ventilation is critical in an energy-efficient home to maintain adequate indoor air quality and comfort. The whole-house ventilation system you choose will depend upon your climate, budget, and the availability of experienced contractors in your area. Energy-efficient homes -- both new and existing -- require mechanical ventilation to maintain indoor air quality. There are four basic mechanical

274

Our Hand in Greening the White House  

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

Our Hand in Greening the White House (See also the Greening of Our House) "For as long as I live in the White House, I want Americans to see it not only as a symbol of clean government, but also a clean environment. We're going to identify what it takes to make the White House a model for efficiency and waste reduction, and then we're going to get the job done. . . Before I can ask you to do the best you can in your house, I ought to make sure I'm doing the best I can in my house." -President Bill Clinton, Earth Day, 1994 In an effort to provide leadership by example, the Greening of the White House project is bringing new technology, enlightened operations and management practices, and revised procurement procedures to the First Residence. Modern information technologies (e.g., multimedia) will make

275

House Simulation Protocols Report | Department of Energy  

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

Residential Buildings » Building America » House Simulation Residential Buildings » Building America » House Simulation Protocols Report House Simulation Protocols Report This image shows a cover of a report titled Building America House Simulation Protocols. The Building America logo is shown in the lower left corner of the report cover. Building America's House Simulation Protocols report is designed to assist researchers in tracking the progress of multiyear, whole-building energy reduction against research goals for new and existing homes. These protocols are preloaded into BEopt and use a consistent approach for defining a reference building, so that all projects can be compared to each other. The steps involved in conducting performance analysis include: Defining the appropriate reference building Various climate regions, house sizes, and house ages require slightly

276

The Absent House: The Ecological House of Puerto Rico  

High Performance Buildings Database

Vega Alta, PR The Absent House takes advantage of the benevolent climate of the humid tropics of Puerto Rico to play with the ambiguity of interior and exterior spaces. Main spaces include: a kitchenette and master bathroom suite; a guest tower with a bedroom, bathroom, and small library; an open, public pavilion for cooking, dining, and porch activities; a bathroom for visitors; an infrastructure pavilion for electricity and water consumption management; and an organic garden. The Patio of the Sun and the Stars, the most important s

277

OIKOS 101: 499504, 2003 Do seedlings in gaps interact? A field test of assumptions in ESS  

E-Print Network [OSTI]

OIKOS 101: 499­504, 2003 Do seedlings in gaps interact? A field test of assumptions in ESS seed seedlings in gaps interact? A field test of assumptions in ESS seed size models. ­ Oikos 101: 499­504. ESS for the occupancy of `safe sites' or vegetation gaps. If mortality rates are high and/or frequency-independent, ESS

Silvertown, Jonathan

278

Granular Matter 4(3) (2002) How good is the equipartition assumption for the transport  

E-Print Network [OSTI]

Granular Matter 4(3) (2002) How good is the equipartition assumption for the transport properties of a granular mixture? Meheboob Alam (1) , Stefan Luding (1;2) ? Abstract Kinetic-theory, with the assumption of equipar- tition of granular energy, suggests that the pressure and viscosity of a granular mixture vary

Luding, Stefan

279

Impact of assumption of log-normal distribution on monthly rainfall estimation from TMI  

E-Print Network [OSTI]

The log-normal assumption for the distribution of the rain rates used for the estimation of monthly rain totals proposed in Wilheit et al 1991 was examined. Since the log-normal assumption was originally used for the SSM/I, it is now necessary to re...

Lee, Dong Heon

2012-06-07T23:59:59.000Z

280

Before the Subcommittee on Energy -- House Science, Space, and Technology  

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

-- House Science, Space, and -- House Science, Space, and Technology Committee Before the Subcommittee on Energy -- House Science, Space, and Technology Committee Before the Subcommittee on Energy -- House Science, Space, and Technology Committee Testimony of Christopher Smith, Acting Assistant Secretary Before the Subcommittee on Energy -- House Science, Space, and Technology Committee More Documents & Publications Before the Subcommittee on Energy -- House Science, Space, and Technology Committee Before the Subcommittee on Environment and the Economy -- House Energy and Commerce Committee Before the Subcommittee on Energy -- House Science, Space, and Technology Committee Before the Subcommittee on Energy and Power -- House Energy and Commerce Committee Before the Subcommittees on Energy and Environment - House Committee on

Note: This page contains sample records for the topic "key assumptions housing" 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

Building America Top Innovations Hall of Fame Profile … Moisture and Ventilation Solutions in Hot, Humid Climates: Florida Manufactured Housing  

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

Duct leakage was a key factor in moisture Duct leakage was a key factor in moisture damage in manufactured homes in humid climates. BUILDING AMERICA TOP INNOVATIONS HALL OF FAME PROFILE INNOVATIONS CATEGORY: 2. House-as-a-System Solutions 2.1 New Homes with Whole-House Packages Moisture and Ventilation Solutions in Hot, Humid Climates: Florida Manufactured Housing Research by Building America diagnosed the causes and prescribed a cure that dramatically reduced moisture problems in manufactured housing in Florida. In the late 1990s, Building America researchers at the Florida Solar Energy Center (FSEC) worked with manufactured home builders to diagnose moisture problems in homes in Florida. Moisture issues were so severe that in some homes researchers could push their fingers through the saturated drywall. Using a

282

Housing Innovation Awards at the Solar Decathlon  

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

Housing Innovation Awards at the Solar Decathlon Housing Innovation Awards at the Solar Decathlon Breakfast Presented by BASF Friday, October 4, 2013 8:30-10:30 a.m. Historic Hanger 244 Orange County Great Park in Irvine, CA Friday, October 4, 2013 8:30 AM-10:30 PM 2 | INNOVATION & INTEGRATION: Transforming the Energy Efficiency Market Buildings.Energy.gov Housing Innovation Awards Christine Barbour Master of Ceremonies 3 | INNOVATION & INTEGRATION: Transforming the Energy Efficiency Market Buildings.Energy.gov Housing Innovation Awards 4 | INNOVATION & INTEGRATION: Transforming the Energy Efficiency Market Buildings.Energy.gov Thank you for making the Housing Innovation Awards breakfast possible! Housing Innovation Awards 5 | INNOVATION & INTEGRATION: Transforming the Energy Efficiency Market Buildings.Energy.gov

283

All Electric Houses in Cold Climates  

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

Electric Houses Electric Houses in Cold Climates Duncan Prahl, RA IBACOS BA Tech Update, April 29, 2013 Denver CO All Electric Houses in Cold Climates Caveats About Me: * I'm an Architect * I love math and science, but I'm not going to marry it * My engineering skills are primarily based on osmosis and graphics * "Close enough is good enough" All Electric Houses in Cold Climates Utility Unbundling * True costs becoming "transparent" * Allows for next level of analysis * Cash flow, Total Cost of Ownership All Electric Houses in Cold Climates Martha's Vineyard Community Images courtesy South Mountain Company All Electric Houses in Cold Climates Specifications Building System Specification Below Slab R-20 extruded polystyrene (XPS) foam Foundation Walls R-20 poly iso foam

284

Housing Innovation Awards | Department of Energy  

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

Housing Innovation Awards Housing Innovation Awards Housing Innovation Awards Photo of a line of Housing Innovation Awards statues lined up on a table. The U.S. Department of Energy's Housing Innovation Awards recognize the very best in innovation on the path to zero net-energy ready homes. The awards, presented on October 4, 2013, at a breakfast ceremony during the U.S. Department of Energy (DOE) Solar Decathlon 2013 in Irvine, CA, showcase a number of the Building Technologies Office residential programs under one umbrella event. DOE Challenge Home Builder Awards Orange Arrow Presented to DOE Challenge Home builders who are leading a major housing industry transformation to zero net-energy ready homes. The DOE Challenge Home designation is the symbol of excellence in home building. Only a

285

Moldy Assumptions  

E-Print Network [OSTI]

sustainability movements. 2 Despite these noble intentions, using human responsibility as a base for architecture

Heully, Gustave Paul

2012-01-01T23:59:59.000Z

286

2014 House Nuclear Cleanup Caucus Oak Ridge  

Office of Environmental Management (EM)

2014 House Nuclear Cleanup Caucus Oak Ridge August 16, 2014 Sue Cange Acting Manager Oak Ridge Office of Environmental Management Oak Ridge Site Specific Advisory Board Annual...

287

Million U.S. Housing Units Total...............................  

Gasoline and Diesel Fuel Update (EIA)

Single-Family Units Apartments in Buildings With-- Table HC3.10 Home Appliances Usage Indicators by Owner-Occupied Housing Unit, 2005 Home Appliances Usage Indicators...

288

Million U.S. Housing Units Total...............................  

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

Single-Family Units Apartments in Buildings With-- Table HC4.10 Home Appliances Usage Indicators by Renter-Occupied Housing Unit, 2005 Home Appliances Usage Indicators...

289

Testimony before the House Appropriations Committee, Subcommittee...  

National Nuclear Security Administration (NNSA)

... Testimony before the House Appropriations Committee, Subcommittee on Energy and Water Congressional Testimony Mar 4, 2010 Administrator Thomas D'Agostino As Prepared for...

290

Science to return to the White House  

Science Journals Connector (OSTI)

... Senators and Congressmen that he wants Congress to pass a bill to establish a small science policy ... policy office in the White House, headed by a ...

Colin Norman

1975-06-05T23:59:59.000Z

291

Fayette Country, Pennsylvania, Housing Market Analysis  

Broader source: Energy.gov [DOE]

This is a document from the Fayette County Housing Consortium posted to the website of the U.S. Department of Energy's Better Buildings Neighborhood Program.

292

Islip Housing Authority Energy Efficiency Turnover Protocols...  

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

outlets, wires, and lighting; sealing around the bath exhaust fan housing and ducts boots; replacing entry door weather stripping; caulking around entry door frame and windows;...

293

Solar energy, conservation, and rental housing  

SciTech Connect (OSTI)

Renters must pay the majority of energy costs either directly or in their rents. They have limited financial and legal abilities to make improvements necessary to increase substantially the energy efficiency of rental housing. This report discusses the problem of how to increase investments in energy conservation and solar energy devices for rental housing, which constitutes over one-third of US housing. As background, this report characterizes the rental-housing market, including owners' decision-making criteria. Federal, state, and local policies that affect energy-related investments in rental housing are described. Programs are divided into five major categories: (1) programs for tenants, (2) financial incentives for owners, (3) leasing of solar energy equipment, (4) mediation between tenants and landlords, and (5) regulation. The report concludes that energy and conservation programs aimed at the residential sector must disaggregate owner-occupied housing from rental housing for maximum effect. No one program is advocated since local rental-housing markets differ substantially. For improvements greater than no-cost or low-cost items, programs must be directed at rental-housing owners and not only at tenants.

Levine, A.; Raab, J.

1981-03-01T23:59:59.000Z

294

Slideshow of the White House Energy Datapalooza  

Broader source: Energy.gov [DOE]

This post included photo's from the Energy Datapalooza hosted jointly by the White House Office of Technology-Policy and the Department of Energy.

295

Index Revision, House Price Risk, and the Market for House Price Derivatives  

E-Print Network [OSTI]

bias in repeat-sales home price indices. Freddie Mac workingpaper #0503. Index Revision, House Price Risk, and theMarket for House Price Derivatives Calhoun, C. A. (1996).

Deng, Yongheng; Quigley, John M.

2008-01-01T23:59:59.000Z

296

Statement of Patricia Hoffman before the United States House of  

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

before the United States House of before the United States House of Representatives House Appropriations Subcommittee on Energy and Water Development Statement of Patricia Hoffman before the United States House of Representatives House Appropriations Subcommittee on Energy and Water Development Statement of Patricia Hoffman before the United States House of Representatives House Appropriations Subcommittee on Energy and Water Development to appear before you today to discuss the President's Fiscal Year (FY) 2012 budget request for the Department of Energy's (DOE) Office of Electricity Delivery and Energy Reliability (OE). Statement of Patricia Hoffman before the United States House of Representatives House Appropriations Subcommittee on Energy and Water Development More Documents & Publications

297

CBE UFAD cost analysis tool: Life cycle cost model, issues and assumptions  

E-Print Network [OSTI]

Building Maintenance and Repair Cost Reference. WhitestoneJ. Wallis and H. Lin. 2008. CBE UFAD Cost Analysis Tool:UFAD First Cost Model, Issues and Assumptions. Center for

Webster, Tom; Benedek, Corinne; Bauman, Fred

2008-01-01T23:59:59.000Z

298

Microwave Properties of Ice-Phase Hydrometeors for Radar and Radiometers: Sensitivity to Model Assumptions  

Science Journals Connector (OSTI)

A simplified framework is presented for assessing the qualitative sensitivities of computed microwave properties, satellite brightness temperatures, and radar reflectivities to assumptions concerning the physical properties of ice-phase ...

Benjamin T. Johnson; Grant W. Petty; Gail Skofronick-Jackson

2012-12-01T23:59:59.000Z

299

Behavioral Assumptions Underlying California Residential Sector Energy Efficiency Programs (2009 CIEE Report)  

Broader source: Energy.gov [DOE]

This paper examines the behavioral assumptions that underlie Californias residential sector energy efficiency programs and recommends improvements that will help to advance the states ambitious greenhouse gas reduction goals.

300

Length measurement of a moving rod by a single observer without assumptions concerning its magnitude  

E-Print Network [OSTI]

We extend the results presented by Weinstein concerning the measurement of the length of a moving rod by a single observer, without making assumptions concerning the distance between the moving rod and the observer who measures its length.

Bernhard Rothenstein; Ioan Damian

2005-07-03T23:59:59.000Z

Note: This page contains sample records for the topic "key assumptions housing" 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

Assumptions about the U.S., the EU, NATO, and their Impact on the Transatlantic Agenda  

Science Journals Connector (OSTI)

I propose in this paper to discuss, from an American perspective, the assumptions and assertions that influence the way that I look at foreign policy events at the end of this decade. I will conclude with a fe...

Stanley Sloan

2000-01-01T23:59:59.000Z

302

Key to University of Bristol building numbers Academic Registry, Senate House .................................................................. 43  

E-Print Network [OSTI]

Engineering, Queen's Building ...................................................... 20 ALSPAC - Children ................................................................ 23 Audio Visual Aids (AVA), entry via 3-5 Woodland Road .................................. 58 Avon Civil Engineering, Queen's Building ................................................................ 20

303

White House | OpenEI Community  

Open Energy Info (EERE)

White House White House Home Graham7781's picture Submitted by Graham7781(1992) Super contributor 16 August, 2013 - 12:21 New report from White House outlines largest problems facing United States energy grid energy grid OpenEI President Smart Grid United States White House Graham7781's picture Submitted by Graham7781(1992) Super contributor 30 August, 2012 - 15:16 Historic Fuel Standards auto fuel efficiency obama standards vehicle White House On Tuesday, Ray Lahood, Secretary of the U.S. Department of Transportation, and Lisa P. Jackson, Environmental Protection Agency Administrator, unveiled the joint effort, along with the Obama Administration, to create record fuel standards for vehicles built between 2017 and 2025. Syndicate content 429 Throttled (bot load) Error 429 Throttled (bot load)

304

DOE Solar Decathlon: Solar Decathlon House Tours  

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

House Tours House Tours Attending the U.S. Department of Energy Solar Decathlon isn't the only way to get a tour of a Solar Decathlon house. Many past competition houses are open to the public and offer tours year-round. To learn more about the Solar Decathlon houses from previous competitions that offer tours, select from the markers on the map below or choose from the links in the following tables. Screen reader users: click here for plain HTML Go to Google Maps Home Loading... Map Sat Ter Did you mean a different: Did you mean a different: Did you mean a different: Add Destination - Show options Hide options Get Directions Note: Public transit coverage may not be available in this area. Report a problem - Maps Labs - Help Google Maps ‎ ‎ - ©2014 Google ‎ - Terms of Use - Privacy

305

On-site Housing | Staff Services  

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

On-site Housing On-site Housing Note: All guests wishing to stay on-site must be registered and approved in the BNL Guest Information System (GIS). Welcome to Brookhaven National Laboratory. BNL attracts more than 4,500 visiting scientists from all over the world each year to perform scientific research and work with our staff. To support our guests, there are 333 on-site housing units. These units are comprised of 66 family-style apartments, 39 efficiency apartments, 213 dormitory rooms, 13 Guest House rooms, and 2 year round private houses. Location: Hours of Operation: Research Support Building (400A), 20 Brookhaven Avenue Monday - Friday: 8:00 am to Midnight Reservations: (631) 344-2541 or 344-2551 Saturday: Closed* Fax: (631) 344-3098 Sunday: 4:00 pm to Midnight

306

Please transfer ALL data off /house  

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

Please transfer ALL data off /house before Please transfer ALL data off /house before 12/1/2013 Please transfer ALL data off house September 3, 2013 by Kjiersten Fagnan (0 Comments) We are happy to announce that all the file systems: /global/projectb, /global/dna and /webfs are available for use. We now strongly encourage users to begin the data transfer process from /house to the other file systems. House will retire on December 20, 2013! For more information on the best ways to transfer data and what each file system should be used for, check this page . Post your comment You cannot post comments until you have logged in. Login Here. Comments No one has commented on this page yet. RSS feed for comments on this page | RSS feed for all comments User Announcements Email announcement archive Subscribe via RSS

307

OpenEI Community - White House  

Open Energy Info (EERE)

/0 en New report from White /0 en New report from White House outlines largest problems facing United States energy grid http://en.openei.org/community/blog/new-report-white-house-outlines-largest-problems-facing-united-states-energy-grid house-outlines-largest-problems-facing-united-states-energy-grid" target="_blank">read more http://en.openei.org/community/blog/new-report-white-house-outlines-largest-problems-facing-united-states-energy-grid#comments energy grid OpenEI President Smart Grid United States White House Fri, 16

308

Cooling with a Whole House Fan | Department of Energy  

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

Cooling with a Whole House Fan Cooling with a Whole House Fan Cooling with a Whole House Fan May 30, 2012 - 6:54pm Addthis Whole house fan installed as part of a home retrofit project in California. | Photo courtesy of Lieko Earle, NREL. Whole house fan installed as part of a home retrofit project in California. | Photo courtesy of Lieko Earle, NREL. What does this mean for me? A whole-house fan may be sufficient to cool your house, at least for part of the year. In many climates, a whole-house fan can save you money and maintain comfort during the cooling season. How does it work? A whole-house fan works by pulling air in through windows and exhausting it through the attic and roof. Whole house cooling using a whole house fan can substitute for an air conditioner most of the year in most climates. Whole house fans combined

309

Technological rules and constraints affecting design of precast concrete housing  

E-Print Network [OSTI]

Precast concrete technology is of great importance in multifamily housing. This technology provides the possibility to the industrialize housing construction and thus enhance the availability and quality of houses. With ...

Nakamura, Takashi

1994-01-01T23:59:59.000Z

310

White_House_0921.pdf | Department of Energy  

Office of Environmental Management (EM)

WhiteHouse0921.pdf WhiteHouse0921.pdf WhiteHouse0921.pdf More Documents & Publications EA-0921: Finding of No Significant Impact whmissionstatus.pdf Environmental Leaders,...

311

Low-Cost Ventilation in Production Housing - Building America...  

Energy Savers [EERE]

Low-Cost Ventilation in Production Housing - Building America Top Innovation Low-Cost Ventilation in Production Housing - Building America Top Innovation This drawing shows simple...

312

Before The Subcommittee on Water and Power - House Committee...  

Energy Savers [EERE]

The Subcommittee on Water and Power - House Committee on Natural Resources Before The Subcommittee on Water and Power - House Committee on Natural Resources Testimony of...

313

Testimony Before the House Energy & Water Development Committee...  

Energy Savers [EERE]

Testimony Testimony Before the House Energy & Water Development Committee Testimony Before the House Energy & Water Development Committee February 29, 2012 Fiscal Year 2013...

314

Before the Subcommittee on Water and Power - House Natural Resources...  

Energy Savers [EERE]

House Natural Resources Committee Before the Subcommittee on Water and Power - House Natural Resources Committee Testimony of Christopher M. Turner, Administrator SWPA Before the...

315

Testimony Before the House Appropriations Subcommittee on Energy...  

Energy Savers [EERE]

Testimony Before the House Appropriations Subcommittee on Energy and Water Development Testimony Before the House Appropriations Subcommittee on Energy and Water Development...

316

Before the House Budget Committee | Department of Energy  

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

the House Budget Committee Before the House Budget Committee By: Matt Rogers, Senior Advisor to the Secretary Subject: An Examination of the Economy and Recovery Act...

317

Senior Advisor Huizenga's Written Statement before the House...  

Office of Environmental Management (EM)

House Armed Services Subcommittee on Strategic Forces (April 17, 2012) Senior Advisor Huizenga's Written Statement before the House Armed Services Subcommittee on Strategic Forces...

318

Building America Whole-House Solutions for Existing Homes: Cascade...  

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

Building America Whole-House Solutions for Existing Homes: Cascade Apartments - Deep Energy Multifamily Retrofit (Fact Sheet) Building America Whole-House Solutions for Existing...

319

Before the House Committee on Science, Space and Technology ...  

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

the House Committee on Science, Space and Technology Before the House Committee on Science, Space and Technology Statement Before the Committee on Science, Space and Technology,...

320

Energy Department Announces Winners of Housing Innovation Awards...  

Energy Savers [EERE]

Energy Department Announces Winners of Housing Innovation Awards Energy Department Announces Winners of Housing Innovation Awards October 25, 2013 - 1:21pm Addthis The Energy...

Note: This page contains sample records for the topic "key assumptions housing" 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

Advanced Envelope Research for Factory Built Housing, Phase 3...  

Energy Savers [EERE]

Advanced Envelope Research for Factory Built Housing, Phase 3-Design Development and Prototyping Advanced Envelope Research for Factory Built Housing, Phase 3-Design Development...

322

Before the House Small Business Subcommittee on Contracting and...  

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

Subcommittee on Contracting and Technology Before the House Small Business Subcommittee on Contracting and Technology Before the House Small Business Subcommittee on Contracting...

323

Before the House Science and Technology Subcommittee on Oversight...  

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

on Oversight and Investigations Before the House Science and Technology Subcommittee on Oversight and Investigations Before the House Science and Technology Subcommittee on...

324

Before the House Science and Technology Committee | Department...  

Office of Environmental Management (EM)

Science and Technology Committee Before the House Science and Technology Committee Before the House Science and Technology Committee By: Secretary Steven Chu Subject: Department of...

325

Before the House Science, Space, and Technology Committee | Department...  

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

Science, Space, and Technology Committee Before the House Science, Space, and Technology Committee Before the House Science, Space, and Technology Committee By: Dr. Arun Majumdar,...

326

Before the House Committee on Science, Space, and Technology...  

Office of Environmental Management (EM)

Committee on Science, Space, and Technology Before the House Committee on Science, Space, and Technology Testimony of Ernest Moniz, Secretary of Energy Before the House Committee...

327

Before the House Science, Space, and Technology Committee | Department...  

Energy Savers [EERE]

House Science, Space, and Technology Committee Before the House Science, Space, and Technology Committee Statement Before the Committee on Science, Space, and Technology, U.S....

328

Before the House Science and Technology Committee | Department...  

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

Science and Technology Committee Before the House Science and Technology Committee Before the House Science and Technology Committee By: Secretary Steven Chu Subject: New Direction...

329

Before the House Science, Space, and Technology Subcommittee...  

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

Investigations and Oversight Before the House Science, Space, and Technology Subcommittee on Investigations and Oversight Before the House Science, Space, and Technology...

330

Building America Whole-House Solutions for New Homes: Hydronic...  

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

Building America Whole-House Solutions for New Homes: Hydronic Heating Coil Versus Propane Furnace (Fact Sheet) Building America Whole-House Solutions for New Homes: Hydronic...

331

Building America Whole-House Solutions for New Homes: Insight...  

Energy Savers [EERE]

Building America Whole-House Solutions for New Homes: Hydronic Heating Coil Versus Propane Furnace (Fact Sheet) Building America Whole-House Solutions for New Homes: S & A...

332

Before House Subcommittee on Energy and Power and Subcommittee...  

Office of Environmental Management (EM)

Job Creation and Regulatory Affairs - House Committee on Oversight and Governmant Reform Presentation: DOE Loan Programs Before the House Science, Space, and Technology...

333

White House Office of Science and Technology Policy Summer 2014...  

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

White House Office of Science and Technology Policy Summer 2014 Internship Program Application Period White House Office of Science and Technology Policy Summer 2014 Internship...

334

Secretary Moniz's Remarks at the White House Tribal Nations Conference...  

Energy Savers [EERE]

White House Tribal Nations Conference -- As Delivered Secretary Moniz's Remarks at the White House Tribal Nations Conference -- As Delivered December 3, 2014 - 3:25pm Addthis Dr....

335

White House Honors Federal Agencies for Saving Taxpayers $133...  

Office of Environmental Management (EM)

White House Honors Federal Agencies for Saving Taxpayers 133 Million in Energy Costs by Increasing Efficiency Measures White House Honors Federal Agencies for Saving Taxpayers...

336

White House honors Los Alamos physicist's early career work  

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

White House honors physicist's early career work White House honors Los Alamos physicist's early career work Ivan Vitev has received a prestigious Presidential Early Career Award...

337

White House Highlights New DOE Measures to Advance Renewable...  

Energy Savers [EERE]

White House Highlights New DOE Measures to Advance Renewable Energy Deployment and Increase Energy Efficiency White House Highlights New DOE Measures to Advance Renewable Energy...

338

Tribal Leaders Provide White House with Input on Bolstering Climate...  

Energy Savers [EERE]

Tribal Leaders Provide White House with Input on Bolstering Climate Resilience Tribal Leaders Provide White House with Input on Bolstering Climate Resilience January 7, 2015 -...

339

Join a White House Google+ Hangout with Energy Secretary Moniz...  

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

Join a White House Google+ Hangout with Energy Secretary Moniz & EPA Administrator McCarthy Join a White House Google+ Hangout with Energy Secretary Moniz & EPA Administrator...

340

Secretary Moniz's Remarks at the White House Energy Datapalooza...  

Office of Environmental Management (EM)

Secretary Moniz's Remarks at the White House Energy Datapalooza -- As Delivered Secretary Moniz's Remarks at the White House Energy Datapalooza -- As Delivered May 28, 2014 -...

Note: This page contains sample records for the topic "key assumptions housing" 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

White House Council of Economic Advisers and Energy Department...  

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

White House Council of Economic Advisers and Energy Department Release New Report on Resiliency of Electric Grid During Natural Disasters White House Council of Economic Advisers...

342

Secretary Moniz at White House Women's Leadership Summit on Climate...  

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

Secretary Moniz at White House Women's Leadership Summit on Climate and Energy Secretary Moniz at White House Women's Leadership Summit on Climate and Energy Addthis Speakers...

343

White House Forum on Minorities in Energy | Department of Energy  

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

White House Forum on Minorities in Energy White House Forum on Minorities in Energy Addthis 1 of 13 Secretary Moniz, Ambassadors of the Minorities in Energy Initiative, and...

344

White House Meeting Honors New Superior Energy Performance Members...  

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

White House Meeting Honors New Superior Energy Performance Members White House Meeting Honors New Superior Energy Performance Members December 13, 2013 - 11:39am Addthis New...

345

White House Leadership Summit on Women, Climate and Energy |...  

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

White House Leadership Summit on Women, Climate and Energy White House Leadership Summit on Women, Climate and Energy Addthis Topic Energy Efficiency Energy Usage Science &...

346

White House Spotlights Solar Innovation as Summit Registration...  

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

White House Spotlights Solar Innovation as Summit Registration Continues White House Spotlights Solar Innovation as Summit Registration Continues April 23, 2014 - 10:38am Addthis...

347

2014 HAC Rural Housing Conference: Retool, Rebuild, Renew  

Broader source: Energy.gov [DOE]

The biennial HAC Rural Housing Conference brings together stakeholders in the field of rural affordable housing from local nonprofits, federal agencies, Congress, state and local governments, and...

348

Before the Subcommittee on Energy - House Committee on Science...  

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

- House Committee on Science, Space and Technology Before the Subcommittee on Energy - House Committee on Science, Space and Technology Testimony of Adam Sieminiski, Administrator,...

349

Before The Subcommittee on Water and Power - House Committee...  

Office of Environmental Management (EM)

The Subcommittee on Water and Power - House Committee on Natural Resources Before The Subcommittee on Water and Power - House Committee on Natural Resources Testimony of Elliot E....

350

Before The Subcommittee on Water and Power - House Committee...  

Office of Environmental Management (EM)

The Subcommittee on Water and Power - House Committee on Natural Resources Before The Subcommittee on Water and Power - House Committee on Natural Resources Testimony of Mark A....

351

Before Subcommittee on Water and Power - House Committee on Natural...  

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

Subcommittee on Water and Power - House Committee on Natural Resources Before Subcommittee on Water and Power - House Committee on Natural Resources Testimony of Mark Gabriel,...

352

Before the Subcommittee on Water and Power - House Natural Resources...  

Office of Environmental Management (EM)

the Subcommittee on Water and Power - House Natural Resources Committee Before the Subcommittee on Water and Power - House Natural Resources Committee Testimony of William K....

353

Before the Subcommittee on Water and Power - House Natural Resources...  

Office of Environmental Management (EM)

House Natural Resources Committee Before the Subcommittee on Water and Power - House Natural Resources Committee Testimony of Kenneth E. Legg, Administrator SEPA...

354

Before The Subcommittee on Water and Power - House Energy and...  

Office of Environmental Management (EM)

The Subcommittee on Water and Power - House Energy and Natural Resources Committee Before The Subcommittee on Water and Power - House Energy and Natural Resources Committee...

355

Native Learning Center Second Annual Indian Housing Training...  

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

Native Learning Center Second Annual Indian Housing Training Conference Native Learning Center Second Annual Indian Housing Training Conference September 10, 2014 12:00PM EDT to...

356

Los Angeles County's Green Idea House Achieves Efficient Goals...  

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

Los Angeles County's Green Idea House Achieves Efficient Goals Los Angeles County's Green Idea House Achieves Efficient Goals Photo of an energy-efficient home with modern...

357

Before the Subcommittee on Energy -- House Science, Space, and...  

Office of Environmental Management (EM)

on Energy -- House Science, Space, and Technology Committee Testimony of Christopher Smith, Acting Assistant Secretary Before the Subcommittee on Energy -- House Science, Space,...

358

Energy Department Announces Winners of Housing Innovation Awards...  

Energy Savers [EERE]

Energy Department Announces Winners of Housing Innovation Awards Energy Department Announces Winners of Housing Innovation Awards October 25, 2013 - 12:00am Addthis The Energy...

359

Testimony Before the House Energy and Commerce Subcommittee on...  

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

Energy and Commerce Subcommittee on Energy and Environment Testimony Before the House Energy and Commerce Subcommittee on Energy and Environment Before the House Energy and...

360

Before the Subcommittee on Environment and the Economy -- House...  

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

Environment and the Economy -- House Energy and Commerce Committee Before the Subcommittee on Environment and the Economy -- House Energy and Commerce Committee Testimony of Peter...

Note: This page contains sample records for the topic "key assumptions housing" 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

Before the Subcommittee on Energy and Environment - House Committee...  

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

Environment - House Committee on Science, Space, and Technology Before the Subcommittee on Energy and Environment - House Committee on Science, Space, and Technology Testimony of...

362

What We Talked About with the White House "Entrepreneur-in-Residence" |  

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

We Talked About with the White House We Talked About with the White House "Entrepreneur-in-Residence" What We Talked About with the White House "Entrepreneur-in-Residence" April 20, 2012 - 1:42pm Addthis Want more information on Apps for Energy? Signup at http://appsforenergy.challenge.gov. | Image by Hantz Leger. Want more information on Apps for Energy? Signup at http://appsforenergy.challenge.gov. | Image by Hantz Leger. Erin R. Pierce Erin R. Pierce Digital Communications Specialist, Office of Public Affairs What does this project do? Apps for Energy helps spur innovation and out-of-the-box thinking. Green Button's open data standards give developers the opportunity to impact the way millions use their utility data. Insights from developers and the general public play a key role in

363

Back to the Basics of Sustainability -- Houses of Bark and Energy of  

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

Back to the Basics of Sustainability -- Houses of Bark and Energy Back to the Basics of Sustainability -- Houses of Bark and Energy of Sunshine Back to the Basics of Sustainability -- Houses of Bark and Energy of Sunshine August 2, 2012 - 2:23pm Addthis With new pipes and controls, the natural gas kilns Highland Craftsmen uses to produce poplar bark shingles will operate about 40 percent more efficiently, saving the company $5,000 a year in energy costs. | Photo courtesy of Highland Craftsmen. With new pipes and controls, the natural gas kilns Highland Craftsmen uses to produce poplar bark shingles will operate about 40 percent more efficiently, saving the company $5,000 a year in energy costs. | Photo courtesy of Highland Craftsmen. Julie McAlpin Communications Liaison, State Energy Program What are the key facts? With funds from the State Energy Program, Highland Craftsmen

364

House Subcommittee on Strategic Forces of the Committee on Armed Services |  

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

House Subcommittee on Strategic Forces of the Committee on Armed House Subcommittee on Strategic Forces of the Committee on Armed Services House Subcommittee on Strategic Forces of the Committee on Armed Services January 31, 2007 - 10:15am Addthis Statement of Energy Secretary Samuel W. Bodman Madam Chairman and members of the subcommittee, I am pleased to appear before you to provide my assessment of the Department's progress in implementing Title 32 - the National Nuclear Security Administration Act. This is the first opportunity I have had to testify before this subcommittee specifically on this subject since assuming office as Secretary of Energy some two years ago. But this is a subject on which I have spent a considerable amount of time since my arrival at the Department. Let me begin by saying that the men and women of the NNSA complex are a key

365

House Passage of H.R. 5254 - The Refinery Permit Process Schedule Act |  

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

Passage of H.R. 5254 - The Refinery Permit Process Schedule Passage of H.R. 5254 - The Refinery Permit Process Schedule Act House Passage of H.R. 5254 - The Refinery Permit Process Schedule Act June 8, 2006 - 2:17pm Addthis Statement from Secretary Bodman WASHINGTON, DC - The following is a statement from the Secretary Samuel W. Bodman of the Department of Energy on the passage of House Resolution 5254, The Refinery Permit Process Schedule Act: "I commend the House of Representatives for their passage of this important piece of legislation. Expanding our nation's refining capacity is an important part of President Bush's four-point plan to confront high gasoline prices and is a key component to strengthening our nation's energy security. By increasing our nation's domestic refining capacity we can help grow our nation's economy and reduce our reliance on foreign sources

366

Cutting energy costs in multifamily housing: Practical case studies for the builder and developer  

SciTech Connect (OSTI)

This book is based on an expert evaluation of nine existing and three proposed multifamily housing projects across the US. The existing buildings include three lowrise projects (three to four stories), six midrises (five to seven stories), and three highrise buildings (nine to thirty-nine stories). Two projects were designed and built in the late 1950's, two in the late 1960's, and five late in the ''energy-crisis'' of the 1970's. The existing projects range from municipally subsidized elderly housing, to HUD Section-8 suburban developments, to luxury urban highrise buildings. The three ''future'' buildings, designed by the NAHB research team, were based on trends anticipated in the multifamily industry by IREM and NAHB leaders, over the next five years. The key trends identified were: downsizing of units (by 10 to 20%); increased project size (in number of units), denser developments (more midrise and highrise projects), and increased amenities - all in the context of more affordable housing.

Whiddon, W.I.

1986-01-01T23:59:59.000Z

367

Polyfluoroalkyl chemicals in house dust  

SciTech Connect (OSTI)

We developed a high throughput analytical method using on-line solid phase extraction coupled with isotope dilution high-performance liquid chromatography-tandem mass spectrometry (on-line SPE-HPLC-MS/MS) to simultaneously determine the concentrations of 17 polyfluoroalkyl chemicals (PFCs) in house dust. The sample preparation includes dispersion of the dust samples in 0.1 M formic acid:MeOH (1:1), followed by agitation and filtration, addition of the isotope-labeled internal standard solution to the filtrate, and analysis by on-line SPE-HPLC-MS/MS. The limits of quantitation were <4.0 ng/g. The method accuracies ranged between 73.2% and 100.2% for the different analytes at two spike levels. We confirmed the validity of the method by analyzing 39 household dust samples collected in 2004. Of the 17 PFCs measured, 6 of them-perfluorobutane sulfonate (PFBuS), N-ethyl-perfluorooctane sulfonamide, 2-(N-ethyl-perfluorooctane sulfonamido) acetic acid (Et-PFOSA-AcOH), 2-(N-methyl-perfluorooctane sulfonamido) ethanol (Me-PFOSA-EtOH), perfluorohexane sulfonate (PFHxS), and perfluorooctane sulfonate (PFOS)-had detection frequencies >70%. We detected PFOS, PFBuS, and PFHxS at the highest median concentration, followed by Et-PFOSA-AcOH and Me-PFOSA-EtOH.

Kato, Kayoko [Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, 4770 Buford Hwy., Mailstop F53, Atlanta, GA 30341 (United States)] [Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, 4770 Buford Hwy., Mailstop F53, Atlanta, GA 30341 (United States); Calafat, Antonia M., E-mail: acalafat@cdc.gov [Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, 4770 Buford Hwy., Mailstop F53, Atlanta, GA 30341 (United States); Needham, Larry L. [Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, 4770 Buford Hwy., Mailstop F53, Atlanta, GA 30341 (United States)] [Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, 4770 Buford Hwy., Mailstop F53, Atlanta, GA 30341 (United States)

2009-07-15T23:59:59.000Z

368

President Obama Announces More Key Administration Posts | Department of  

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

January 23, 2012 - 8:28pm January 23, 2012 - 8:28pm Addthis THE WHITE HOUSE Office of the Press Secretary FOR IMMEDIATE RELEASE January 23, 2012 President Obama Announces More Key Administration Posts WASHINGTON - Today, President Barack Obama announced his intent to nominate the following individuals to key Administration posts: Erin C. Conaton - Under Secretary of Defense for Personnel and Readiness, Department of Defense Scott H. DeLisi - Ambassador to the Republic of Uganda, Department of State Deborah Delisle - Assistant Secretary for Elementary and Secondary Education, Department of Education Tracey Ann Jacobson - Ambassador to the Republic of Kosovo, Department of State James J. Jones - Assistant Administrator for Toxic Substances, Environmental Protection Agency Frank Kendall III - Under Secretary of Defense for Acquisition,

369

Annual Energy Outlook 2001-Appendix G: Major Assumptions for the Forecasts  

Gasoline and Diesel Fuel Update (EIA)

Forecasts Forecasts Summary of the AEO2001 Cases/ Scenarios - Appendix Table G1 bullet1.gif (843 bytes) Model Results (Formats - PDF, ZIP) - Appendix Tables - Reference Case - 1998 to 2020 bullet1.gif (843 bytes) Download Report - Entire AEO2001 (PDF) - AEO2001 by Chapters (PDF) bullet1.gif (843 bytes) Acronyms bullet1.gif (843 bytes) Contacts Related Links bullet1.gif (843 bytes) Assumptions to the AEO2001 bullet1.gif (843 bytes) Supplemental Data to the AEO2001 (Only available on the Web) - Regional and more detailed AEO 2001 Reference Case Results - 1998, 2000 to 2020 bullet1.gif (843 bytes) NEMS Conference bullet1.gif (843 bytes) Forecast Homepage bullet1.gif (843 bytes) EIA Homepage Appendix G Major Assumptions for the Forecasts Component Modules Major Assumptions for the Annual Energy Outlook 2001

370

Mobile-component housing and solar energy: the possibilities  

SciTech Connect (OSTI)

The possibilities for acceptance of PV among different modes of housing construction are considered. The focus is on that form of housing production defined as mobile-component housing, a type of housing built in a factory to a single national construction standard. The first section describes the structure of the manufactured housing industry. It provides definitions and terminology necessary to a discussion of mobile-component housing. It then reviews the production activity and approach, distribution, consumer and financing for this mode of housing. The second section presents the product characteristics of mobile-component housing. The third section reviews solar technologies, and discusses their relation to mobile-component housing. The fourth section focuses specifically on factors influencing receptivity to solar by the mobile-component housing industry. The conclusion summarizes the analysis as it relates to the possibilities for photovoltaics in mobile-component housing.

Nutt-Powell, T.E.; Furlong, M.

1980-04-01T23:59:59.000Z

371

Sensitivity of Rooftop PV Projections in the SunShot Vision Study to Market Assumptions  

SciTech Connect (OSTI)

The SunShot Vision Study explored the potential growth of solar markets if solar prices decreased by about 75% from 2010 to 2020. The SolarDS model was used to simulate rooftop PV demand for this study, based on several PV market assumptions--future electricity rates, customer access to financing, and others--in addition to the SunShot PV price projections. This paper finds that modeled PV demand is highly sensitive to several non-price market assumptions, particularly PV financing parameters.

Drury, E.; Denholm, P.; Margolis, R.

2013-01-01T23:59:59.000Z

372

" Million Housing Units, Final"  

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

Air Conditioning in U.S. Homes, by Housing Unit Type, 2009" Air Conditioning in U.S. Homes, by Housing Unit Type, 2009" " Million Housing Units, Final" ,,"Housing Unit Type" ,,"Single-Family Units",,"Apartments in Buildings With" ,"Total U.S.1 (millions)" ,," Detached"," Attached"," 2 to 4 Units","5 or More Units","Mobile Homes" "Air Conditioning" "Total Homes",113.6,71.8,6.7,9,19.1,6.9 "Air Conditioning Equipment" "Use Air Conditioning Equipment",94,61.1,5.6,6.3,15.2,5.8 "Have Air Conditioning Equipment But" "Do Not Use It",4.9,2.6,0.2,0.7,0.9,0.4 "Do Not Have Air Conditioning Equipment",14.7,8.1,0.9,2.1,3,0.7 "Type of Air Conditioning Equipment "

373

" Million Housing Units, Final"  

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

Household Demographics of U.S. Homes, by Housing Unit Type, 2009" Household Demographics of U.S. Homes, by Housing Unit Type, 2009" " Million Housing Units, Final" ,,"Housing Unit Type" ,,"Single-Family Units",,"Apartments in Buildings With" ,"Total U.S.1 (millions)" ,," Detached"," Attached"," 2 to 4 Units","5 or More Units","Mobile Homes" "Household Demographics" "Total Homes",113.6,71.8,6.7,9,19.1,6.9 "Number of Household Members" "1 Person",31.3,14.4,2.1,3.4,9.6,1.9 "2 Persons",35.8,24.2,1.9,2.5,5,2.1 "3 Persons",18.1,12.1,1.2,1.3,2.2,1.2 "4 Persons",15.7,11.5,1,1,1.5,0.8 "5 Persons",7.7,5.8,0.3,0.5,0.6,0.5

374

Advanced House Framing | Department of Energy  

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

Advanced House Framing Advanced House Framing Advanced House Framing April 13, 2012 - 7:57pm Addthis Two-story home using advanced framing techniques. Two-story home using advanced framing techniques. Advanced house framing means materials, labor, and heating and cooling cost savings because the approach: Uses less lumber and generates less waste than typical framing methods. Increases energy efficiency by replacing lumber with insulation material, resulting in a higher whole-wall R-value through reduced thermal bridging and increased insulation. How does it work? Advanced framing works structurally by aligning framing members directly over each other to transfer the load from roof trusses or rafters to second floor wall studs, to floor joists, to first floor studs to the foundation,

375

" Million Housing Units, Final"  

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

Fuels Used and End Uses in U.S. Homes, by Housing Unit Type, 2009" Fuels Used and End Uses in U.S. Homes, by Housing Unit Type, 2009" " Million Housing Units, Final" ,,"Housing Unit Type" ,,"Single-Family Units",,"Apartments in Buildings With" ,"Total U.S.1 (millions)" ,," Detached"," Attached"," 2 to 4 Units","5 or More Units","Mobile Homes" "Fuels Used and End Uses" "Total Homes",113.6,71.8,6.7,9,19.1,6.9 "Fuels Used for Any Use" "Electricity",113.6,71.8,6.7,9,19.1,6.9 "Natural Gas",69.2,45.6,4.7,6.1,11,1.8 "Propane/LPG",48.9,39.6,2.4,1.7,2,3.2 "Wood",13.1,11.4,0.3,0.2,0.5,0.7 "Fuel Oil",7.7,5.1,0.4,0.7,1.3,0.1

376

The House of the Future at MIT  

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

The House of the Future at MIT The House of the Future at MIT Speaker(s): Kent Larson Date: December 6, 2002 - 12:00pm Location: Bldg. 90 During this seminar, Professor Larson will discuss two related housing initiatives at MIT: Changing Places/Houses in The MIT Home of the Future Consortium. Change is accelerating, but the places we create are largely static and unresponsive. "Changing Places" is an MIT research consortium that explores how new technologies, materials, and strategies for design can make possible dynamic, evolving places that respond to the complexities of life. Open Source Building Alliance Providing individuals with choice creates competition and incentives for innovation. Mass-customization requires a modular component-based approach, which creates a pathway for new players to enter the $852

377

Tax policy, housing markets, and elderly homeowners  

E-Print Network [OSTI]

This dissertation consists of three essays studying the impact of tax policy on housing markets and elderly homeowners. Chapter One examines the potential lock-in effect of capital gains taxation on home sales, using the ...

Shan, Hui, Ph. D. Massachusetts Institute of Technology

2008-01-01T23:59:59.000Z

378

Housing Innovation Awards at the Solar Decathlon  

Broader source: Energy.gov [DOE]

Housing Innovation Awards at the Solar Decathlon, U.S. Department of Energy, Breakfast presented by BASF, Friday, October 4, 2013 8:30-10:30 a.m. Historic Hanger 244 Orange County Great Park in Irvine, CA.

379

Redefining the edge : housing on Chicago's waterfront  

E-Print Network [OSTI]

This thesis proposes an approach to the design of urban housing which uses the public realm to reconcile the various desires of the city for continuous, accessible fabric, the developer for property value raising enhancements, ...

Montalto, Anthony Olindo

1995-01-01T23:59:59.000Z

380

City of Indianapolis- EcoHouse Project  

Broader source: Energy.gov [DOE]

In June 2011, the City of Indianapolis announced the availability of the EcoHouse Project, an energy-efficiency loan program for medium- and low-income homeowners in Indianapolis. The Indianapolis...

Note: This page contains sample records for the topic "key assumptions housing" 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

Environmental control for confinement livestock housing  

SciTech Connect (OSTI)

Advantages and disadvantages of mechanical ventilation systems for livestock housing are discussed. Various principles involved in environmental control are reviewed. The design, operation, maintenance, and management of the equipment needed for environmental control are discussed. (JGB)

Jones, D.D.; Friday, W.H.; DeForest, S.S.

1980-06-01T23:59:59.000Z

382

The BLOOMhouse:Zero Net Energy Housing  

E-Print Network [OSTI]

site within a different climatic zone, and client context. Recognizing that consumers look to Solar Decathlon entries for ideas of how to integrate renewable energy technologies into their own homes this house will serve as a working example...

Garrison, M.; Krepart, R.; Randall, S.; Novoselac, A.

383

Achieving Sustainable Construction in Affordable Housing  

SciTech Connect (OSTI)

An energy-efficient design and construction checklist and information sheets on energy-efficient design and construction are two products being developed. These products will help affordable housing providers take the first steps toward a whole-house approach to the design and implementation of energy-efficient construction practices. The checklist presents simple and clear guidance on energy improvements that can be readily addressed now by most affordable housing providers. The information sheets complement the checklist by providing installation instructions and material specifications that are accompanied by detailed graphics. The information sheets also identify benefits of recommended energy-efficiency measures and procedures including cost savings and impacts on health and comfort. This paper presents details on the checklist and information sheets and discusses their use in two affordable housing projects.

Barcik, M.K.; Creech, D.B.; Ternes, M.P.

1998-12-07T23:59:59.000Z

384

Retrofitting the Southeast: The Cool Energy House  

SciTech Connect (OSTI)

The Consortium for Advanced Residential Buildings has provided the technical engineering and building science support for a highly visible demonstration home in connection with the National Association of Home Builders' International Builders Show. The two previous projects, the Las Vegas net-zero ReVISION House and the 2011 VISION and ReVISION Houses in Orlando, met goals for energy efficiency, cost effectiveness, and information dissemination through multiple web-based venues. This project, which was unveiled at the 2012 International Builders Show in Orlando on February 9, is the deep energy retrofit Cool Energy House (CEH). The CEH began as a mid-1990s two-story traditional specification house of about 4,000 ft2 in the upscale Orlando suburb of Windermere.

Zoeller, W.; Shapiro, C.; Vijayakumar, G.; Puttagunta, S.

2013-02-01T23:59:59.000Z

385

Available Housing Listings July 20, 2012  

E-Print Network [OSTI]

Available Housing Listings July 20, 2012 The Fire Pit - A Cultural Drop-In Centre 1120 3rd Ave, burns lake and vanderhoof. for more information and to obtain an application, visit the website at www

Northern British Columbia, University of

386

Available Housing Listings July 13, 2012  

E-Print Network [OSTI]

Available Housing Listings July 13, 2012 The Fire Pit - A Cultural Drop-In Centre 1120 3rd Ave, burns lake and vanderhoof. for more information and to obtain an application, visit the website at www

Northern British Columbia, University of

387

2013 White House Tribal Nations Conference  

Broader source: Energy.gov [DOE]

On Wednesday, November 13, President Obama will host the White House Tribal Nations Conference at the Department of the Interior. The conference will provide leaders from the 566 federally...

388

Elements of an Energy-Efficient House  

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

ability of a material to resist heat transfer, and the lower the value, the faster the heat loss. For example, a typical house in New York might have insulation of R-11 in the...

389

Housing for single-parent families  

E-Print Network [OSTI]

This thesis poses the question of how we are to house the family of the future. The concept of the strictly nuclear family as a backbone of our civilization is disintegrating under the onslaught of careers, of divorce, of ...

Johnson, Katrina Rae

1986-01-01T23:59:59.000Z

390

Order and chaos : articulating support, housing transformation  

E-Print Network [OSTI]

This thesis presents an exploration on the theme of order and chaos, as a formal and social phenomenon, particularly as it relates to housing. The work stems from an attraction to the messy vitality we find in certain ...

Boehm, William Hollister

1990-01-01T23:59:59.000Z

391

Edition Three, January 2010 Welcome to HOUSES!  

E-Print Network [OSTI]

13 Can households afford to buy the house of their dreams? Can households keep up with their mortgage quarter of 2009. While +0.1% isn't much growth we can join France, Germany, US and Japan in positive

Evans, Paul

392

" Million Housing Units, Final"  

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

Appliances in U.S. Homes, by Housing Unit Type, 2009" Appliances in U.S. Homes, by Housing Unit Type, 2009" " Million Housing Units, Final" ,,"Housing Unit Type" ,,"Single-Family Units",,"Apartments in Buildings With" ,"Total U.S.1 (millions)" ,,,,,"5 or More Units","Mobile Homes" "Appliances",,"Detached","Attached","2 to 4 Units" "Total Homes",113.6,71.8,6.7,9,19.1,6.9 "Cooking Appliances" "Stoves (Units With Both" "an Oven and a Cooktop)" "Use a Stove",102.3,62.3,6.4,8.7,18.3,6.5 "1.",100.8,61,6.4,8.6,18.3,6.5 "2 or More",1.5,1.3,0.1,"Q","Q","Q" "Do Not Use a Stove",11.3,9.5,0.3,0.3,0.8,0.4

393

" Million Housing Units, Final"  

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

Water Heating in U.S. Homes, by Housing Unit Type, 2009" Water Heating in U.S. Homes, by Housing Unit Type, 2009" " Million Housing Units, Final" ,,"Housing Unit Type" ,,"Single-Family Units",,"Apartments in Buildings With" ,"Total U.S.1 (millions)" ,," Detached"," Attached"," 2 to 4 Units","5 or More Units","Mobile Homes" "Water Heating" "Total Homes",113.6,71.8,6.7,9,19.1,6.9 "Number of Storage Tank Water Heaters" 0,2.9,1.8,0.1,0.2,0.6,0.1 1,108.1,67.5,6.5,8.8,18.5,6.8 "2 or More",2.7,2.5,0.1,"Q","Q","Q" "Number of Tankless Water Heaters2" 0,110.4,69.5,6.5,8.9,18.6,6.8 1,3.1,2.2,0.2,0.2,0.5,"Q"

394

" Million Housing Units, Final"  

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

Space Heating in U.S. Homes, by Housing Unit Type, 2009" Space Heating in U.S. Homes, by Housing Unit Type, 2009" " Million Housing Units, Final" ,,"Housing Unit Type" ,,"Single-Family Units",,"Apartments in Buildings With" ,"Total U.S.1 (millions)" ,," Detached"," Attached"," 2 to 4 Units","5 or More Units","Mobile Homes" "Space Heating" "Total Homes",113.6,71.8,6.7,9,19.1,6.9 "Space Heating Equipment" "Use Space Heating Equipment",110.1,70.5,6.5,8.7,17.7,6.7 "Have Space Heating Equipment But Do " "Not Use It",2.4,0.8,0.2,0.2,1,0.1 "Do Not Have Space Heating Equipment",1.2,0.6,"Q",0.1,0.4,"Q"

395

2014 White House Tribal Nations Conference  

Broader source: Energy.gov [DOE]

President Obama will host the 2014 White House Tribal Nations Conference at the Capital Hilton in Washington, DC. The conference will provide leaders from the 566 federally recognized tribes the opportunity to interact directly with the President and members of the White House Council on Native American Affairs. Each federally recognized tribe will be invited to send one representative to the conference. Additional details about the conference will be released at a later date.

396

Key Activities | Department of Energy  

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

Key Activities Key Activities Key Activities The Water Power Program conducts work in four key areas at the forefront of water power research. The Program is structured to help the United States meet its growing energy demands sustainably and cost-effectively by developing innovative renewable water power technologies, breaking down market barriers to deployment, building the infrastructure to test new technologies, and assessing water power resources for integration into our nation's grid. Research and Development Introduce and advance new marine and hydrokinetic technologies to provide sustainable and cost-effective renewable energy from the nation's waves, tides, currents, and ocean thermal gradients. Research and develop innovative hydropower technologies to sustainably tap our country's diverse water resources including rivers,

397

Keynote Address: Ali Zaidi, the White House Domestic Policy Council  

Broader source: Energy.gov [DOE]

Keynote address by Ali Zaidi, Deputy Director for Energy Policy, the White House Domestic Policy Council.

398

USER SATISFACTION WITH INNOVATIVE COOLING RETROFITS IN SACRAMENTO PUBLIC HOUSING  

E-Print Network [OSTI]

and a housing authority have been retrofitting their buildings with evaporative coolers, ground-source heatpumps

Diamond, Richard

399

Greening the U.S. House of Representatives  

SciTech Connect (OSTI)

The Greening the Capitol initiative was launched in March, 2007 with the threefold goals of making the U.S. House of Representatives: 1) carbon neutral within 18 months, 2) reducing energy use by 50percent in ten years, and 3) becoming a model of sustainable operations. We report on the recommendations to meet these goals, looking at the targets of opportunity at the Capitol Power Plant, the existing buildings, and the overall operations of the complex. Our findings have shown that these goals are achievable, and that through an integrated approach the savings in carbon and energy can be met. Specific examples include the lighting retrofits in the House offices, parking areas, and the Capitol dome; the retrofits to the HVAC systems and controls, including duct sealing, improving the efficiency of the energy and water use in the food service areas; and improved operations of the steam and chilled water distribution system. A key aspect has been better tracking and feedback to the building operators of the actual energy consumption. We report on the technical opportunities presented by these historic and symbolic buildings in becoming models of sustainability.

Diamond, Rick; Diamond, Rick; Payne, Christopher

2008-03-01T23:59:59.000Z

400

Campus Recreation at Sonoma State University RELEASE OF LIABILITY -PROMISE NOT TO SUE ASSUMPTION OF  

E-Print Network [OSTI]

Campus Recreation at Sonoma State University RELEASE OF LIABILITY - PROMISE NOT TO SUE ASSUMPTION OF RISK - AGREEMENT TO PAY CLAIMS PERMISSION TO USE VISUAL LIKENESS Activities: a) USE OF SSU RECREATION RECREATION PROGRAMS. Effective Locations and Time Periods: a) RECREATION CENTER: DURING HOURS OF OPERATION

Ravikumar, B.

Note: This page contains sample records for the topic "key assumptions housing" 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

Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric IRT  

E-Print Network [OSTI]

Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric IRT Brian of the monotonicity conditions discussed in Section 4. #12;Abstract In recent years, as cognitive theories of learning" on student achievement relative to theory-driven lists of examinee skills, beliefs and other cognitive

Junker, Brian

402

Draft -F. Nicoud 1 About the zero Mach number assumption in  

E-Print Network [OSTI]

Draft - F. Nicoud 1 About the zero Mach number assumption in the calculation of thermoacoustic as the the flame forcing ('Rayleigh') term. Besides, the net effect of the non zero Mach number terms the frequency of oscillation and growth rate are modified when the Mach number is not zero. It is demonstrated

Nicoud, Franck

403

Models of transcription factor binding: Sensitivity of activation functions to model assumptions  

E-Print Network [OSTI]

on statistical physics, a Markov-chain model and a computational simulation. Comparison of these models suggests for cooperativity. The simulation model suggests that direct interactions between TFs are unlikely to be the main in this contribution, the assumption of the cell being a well stirred reactor makes a qualitative difference

Kent, University of

404

Quantum hacking of a continuous-variable quantum-key-distribution system using a wavelength attack  

Science Journals Connector (OSTI)

The security proofs of continuous-variable quantum key distribution are based on the assumptions that the eavesdropper can neither act on the local oscillator nor control Bob's beam splitter. These assumptions may be invalid in practice due to potential imperfections in the implementations of such protocols. In this paper, we consider the problem of transmitting the local oscillator in a public channel and propose a wavelength attack which allows the eavesdropper to control the intensity transmission of Bob's beam splitter by switching the wavelength of the input light. Specifically we target continuous-variable quantum key distribution systems that use the heterodyne detection protocol using either direct or reverse reconciliation. Our attack is proved to be feasible and renders all of the final keys shared between the legitimate parties insecure, even if they have monitored the intensity of the local oscillator. To prevent our attack on commercial systems, a simple wavelength filter should be randomly added before performing monitoring detection.

Jing-Zheng Huang; Christian Weedbrook; Zhen-Qiang Yin; Shuang Wang; Hong-Wei Li; Wei Chen; Guang-Can Guo; Zheng-Fu Han

2013-06-24T23:59:59.000Z

405

Quantum Hacking on Continuous-Variable Quantum Key Distribution System using a Wavelength Attack  

E-Print Network [OSTI]

The security proofs of continuous-variable quantum key distribution are based on the assumptions that the eavesdropper can neither act on the local oscillator nor control Bob's beam splitter. These assumptions may be invalid in practice due to potential imperfections in the implementations of such protocols. In this paper, we consider the problem of transmitting the local oscillator in a public channel and propose a wavelength attack which can allow the eavesdropper to control the intensity transmission of Bob's beam splitter by switching the wavelength of the input light. Specifically we target continuous-variable quantum key distribution systems that use the heterodyne detection protocol using either direct or reverse reconciliation. Our attack is proved to be feasible and renders all of the final key shared between the legitimate parties insecure, even if they have monitored the intensity of the local oscillator. To prevent our attack on commercial systems, a simple wavelength filter should be added before performing the monitoring detection.

Jing-Zheng Huang; Christian Weedbrook; Zhen-Qiang Yin; Shuang Wang; Hong-Wei Li; Wei Chen; Guang-Can Guo; Zheng-Fu Han

2013-02-01T23:59:59.000Z

406

EPAct Transportation Regulatory Activities: Key Terms  

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

Key Terms Key Terms to someone by E-mail Share EPAct Transportation Regulatory Activities: Key Terms on Facebook Tweet about EPAct Transportation Regulatory Activities: Key Terms on Twitter Bookmark EPAct Transportation Regulatory Activities: Key Terms on Google Bookmark EPAct Transportation Regulatory Activities: Key Terms on Delicious Rank EPAct Transportation Regulatory Activities: Key Terms on Digg Find More places to share EPAct Transportation Regulatory Activities: Key Terms on AddThis.com... Home About Covered Fleets Compliance Methods Alternative Fuel Petitions Resources Guidance Documents Statutes & Regulations Program Annual Reports Fact Sheets Newsletter Case Studies Workshops Tools Key Terms FAQs Key Terms The Energy Policy Act (EPAct) includes specific terminology related to

407

EPAct Transportation Regulatory Activities: Key Federal Statutes  

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

Key Key Federal Statutes to someone by E-mail Share EPAct Transportation Regulatory Activities: Key Federal Statutes on Facebook Tweet about EPAct Transportation Regulatory Activities: Key Federal Statutes on Twitter Bookmark EPAct Transportation Regulatory Activities: Key Federal Statutes on Google Bookmark EPAct Transportation Regulatory Activities: Key Federal Statutes on Delicious Rank EPAct Transportation Regulatory Activities: Key Federal Statutes on Digg Find More places to share EPAct Transportation Regulatory Activities: Key Federal Statutes on AddThis.com... Home About Contacts Covered Fleets Compliance Methods Alternative Fuel Petitions Resources Key Federal Statutes These are excerpts from federal statutes that established key Energy Policy Act (EPAct) transportation regulatory activities.

408

EIA-Assumptions to the Annual Energy Outlook - International Energy Module  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2007 International Energy Module The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads exogenously derived supply curves, initial price paths and international regional supply and demand levels into NEMS. These quantities are not modeled directly in NEMS because NEMS is not an international model. Previous versions of the IEM adjusted these quantities after reading in initial values. In an attempt to more closely integrate the AEO2007 with the IEO2006 and the STEO some functionality was removed from the IEM. More analyst time was devoted to analyzing price relationships between marker crude oils and refined products. A new exogenous oil supply model, Generate World Oil Balances (GWOB), was also developed to incorporate actual investment occurring in the international oil market through 2015 and resource assumptions through 2030. The GWOB model provides annual country level oil production detail for eight conventional and unconventional oils.

409

Paducah DUF6 Conversion Final EIS - Chapter 4: Environmental Impact Assessment Approach, Assumptions, and Methodology  

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

Paducah DUF Paducah DUF 6 Conversion Final EIS 4 ENVIRONMENTAL IMPACT ASSESSMENT APPROACH, ASSUMPTIONS, AND METHODOLOGY This EIS evaluates potential impacts on human health and the natural environment from building and operating a DUF 6 conversion facility at three alternative locations at the Paducah site and for a no action alternative. These impacts might be positive, in that they would improve conditions in the human or natural environment, or negative, in that they would cause a decline in those conditions. This chapter provides an overview of the methods used to estimate the potential impacts associated with the EIS alternatives, summarizes the major assumptions that formed the basis of the evaluation, and provides some background information on human health

410

Greenbuilt Retrofit Test House Final Report  

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

Greenbuilt Retrofit Test House Greenbuilt Retrofit Test House Final Report B. Sparn, K. Hudon, L. Earle, C. Booten, and P. C. Tabares-Velasco National Renewable Energy Laboratory G. Barker and C. E. Hancock Mountain Energy Partnership Technical Report NREL/TP-5500-54009 October 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 15013 Denver West Parkway Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Greenbuilt Retrofit Test House Final Report B. Sparn, K. Hudon, L. Earle, C. Booten, and P. C. Tabares-Velasco National Renewable Energy Laboratory G. Barker and C. E. Hancock

411

The smartest house in Los Alamos  

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

The Smartest House In Los Alamos The Smartest House In Los Alamos Community Connections: Our link to Northern New Mexico Communities Latest Issue:Dec. 2013 - Jan. 2014 All Issues » submit The smartest house in Los Alamos The first project in the United States to demonstrate how "smart grid" technology could provide residential customers with a significant amount of their electricity from renewable resources is open and getting ready for visitors. October 1, 2012 dummy image Read our archives Contacts Editor Linda Anderman Email Community Programs Office Kurt Steinhaus Email The first project in the United States to demonstrate how "smart grid" technology could provide residential customers with a significant amount of their electricity from renewable resources is open and getting ready for

412

House Care Co Ltd | Open Energy Information  

Open Energy Info (EERE)

House Care Co Ltd House Care Co Ltd Jump to: navigation, search Name House Care Co Ltd Place Tokyo, Tokyo, Japan Zip 163-1431 Sector Solar Product Japanese insulation and roofing installer which also distributes and installs solar roofing systems. Coordinates 35.670479°, 139.740921° 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":35.670479,"lon":139.740921,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

413

University of Colorado House Tours Report  

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

HOUSE TOURS BRIEF CONTEST REPORT HOUSE TOURS BRIEF CONTEST REPORT This report summarizes the strategy of the CU Solar Decathlon Team for addressing the Hours Tours portion of the 2005 Solar Decathlon Competition. Brochures The CU Team is designing one brochure for the General Public and one for the Competition Judges. Both of these 18"x 24" handouts will fold into 10 sections like a compact map. On the inside of the brochures will appear a color rendering of the North, South, East and West facades of the house, in addition to a floor plan. The brochures will also include a detailed map that will explain various aspects of the CU Solar Decathlon Home and site plan. The content of each brochure will be audience appropriate. Each of the ten sections will contain 250-500 words of text, as well as pictures, diagrams,

414

NH House Committee_April27 2005  

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

Mercury Control Mercury Control Technology R&D Program for Coal-Fired Boilers Working Session of the New Hampshire House Science, Technology, & Energy Committee April 26, 2005 Concord, New Hampshire Thomas J. Feeley, III thomas.feeley@netl.doe.gov National Energy Technology Laboratory NH House Committee_April 2005 Mercury Control Technology Field Testing Program Performance/Cost Objectives * Have technologies ready for commercial demonstration by 2007 for all coals * Reduce "uncontrolled" Hg emissions by 50-70% * Reduce cost by 25-50% compared to baseline cost estimates Baseline Costs: $50,000 - $70,000 / lb Hg Removed 2000 Year Cost NH House Committee_April 2005 Stages of Mercury Control Technology Development DOE RD&D Model Lab/Bench/Pilot-Scale Testing Field Testing

415

EIA-Assumptions to the Annual Energy Outlook - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2007 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2007, DOE/EIA- M068(2007). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

416

Housing Archetype Analysis for Home Energy-Efficient Retrofit in the Great Lakes Region  

SciTech Connect (OSTI)

This project report details activities and results of the 'Market Characterization' project undertaken by the Cost Effective Energy Retrofit (CEER) team targeted toward the DOE goal of achieving 30%-50% reduction in existing building energy use. CEER consists of members from the Dow Chemical Company, Michigan State University, Ferris State University and Habitat for Humanity Kent County. The purpose of this market characterization project was to identify housing archetypes which are dominant within Great Lakes region and therefore offer significant potential for energy-efficient retrofit research and implementation due to the substantial number of homes possessing similar characteristics. Understanding the characteristics of housing groups referred to as 'archetypes' by vintage, style, and construction characteristics can allow research teams to focus their retrofit research and develop prescriptive solutions for those structure types which are prevalent and offer high potential uptake within a region or market. Key research activities included; literature review, statistical analysis of national and regional data of the American Housing Survey (AHS) collected by the U.S. Census Bureau, analysis of Michigan specific data, development of a housing taxonomy of architectural styles, case studies of two local markets (i.e., Ann Arbor and Grand Rapids in Michigan) and development of a suggested framework (or process) for characterizing local markets. In order to gain a high level perspective, national and regional data from the U.S. Census Bureau was analyzed using cross tabulations, multiple regression models, and logistic regression to characterize the housing stock and determine dominant house types using 21 variables.

Kim, S. K.; Mrozowski, T.; Harrell-Seyburn, A.; Ehrlich, N.; Hembroff, L.; Bieburn, B.; Mazor, M.; McIntyre, A.; Mutton, C.; Parsons, G.; Syal, M. G.; Wilkinson, R.

2014-09-01T23:59:59.000Z

417

Geotechnical characterization of calcareous sediments from the Dry Tortugas Keys and Marquesas Keys CBBL SRP study sites, Lower Florida Keys  

Science Journals Connector (OSTI)

Geotechnical characteristics of carbonate sediments from two test sites (Dry Tortugas Keys and Marquesas Keys) in the Lower Florida Keys were investigated as part of the Coastal Benthic Boundary Layer Special...

G. Veyera; H. Brandes; A. Silva

2001-11-01T23:59:59.000Z

418

Monroe County Extension Services Key West Office  

E-Print Network [OSTI]

Energy Services: 305-295-1010 Florida Keys Electric Co-op: 305-852-2431 Monroe County Roads & Bridges-292-4501 http://monroe.ifas.ufl.edu Key Largo Office: 102050 Overseas Highway, Room 244 City and County Tree Lower Keys: 305-797-4929 Upper Keys: 305-852-7161 Contact local tree services throughout the Keys

Jawitz, James W.

419

" Million Housing Units, Final"  

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

2 Household Demographics of U.S. Homes, by Owner/Renter Status, 2009" 2 Household Demographics of U.S. Homes, by Owner/Renter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings With" ,"Total U.S.1 (millions)",,,"Detached",,"Attached",,"2 to 4 Units",,"5 or More Units",,"Mobile Homes" "Household Demographics",,"Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent" "Total Homes",113.6,76.5,37.1,63.2,8.6,3.9,2.8,1.5,7.6,2.3,16.8,5.5,1.4 "Number of Household Members"

420

" Million Housing Units, Final"  

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

2 Televisions in U.S. Homes, by Owner/Renter Status, 2009" 2 Televisions in U.S. Homes, by Owner/Renter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings With" ,,,,"Detached",,"Attached",,"2 to 4 Units",,"5 or More Units",,"Mobile Homes" ,"Total U.S.1 (millions)" ,,"Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent" "Televisions" "Total Homes",113.6,76.5,37.1,63.2,8.6,3.9,2.8,1.5,7.6,2.3,16.8,5.5,1.4 "Televisions" "Number of Televisions"

Note: This page contains sample records for the topic "key assumptions housing" 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

Multifamily Housing: Looking for Energy Solutions  

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

operating operating costs, increase resident satisfaction, and enhance the value of your properties. Turn to an ENERGY STAR ® Service and Product Provider Partner ENERGY STAR Service and Product Providers (SPPs) have the experience and tools to implement energy-efficient strategies that are right for you. Following the U.S. Environmental Protection Agency's (EPA) Guidelines for Energy Management, a proven strategy developed from ENERGY STAR partner successes, SPPs can help your organization gain control of energy consumption and costs. Energy Efficiency Benefits the Multifamily Housing Industry, Your Tenants, and the Environment ENERGY STAR SPPs can help multifamily housing owners and managers reap the financial and environmental benefits of superior energy

422

" Million Housing Units, Final"  

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

2 Air Conditioning in U.S. Homes, by Owner/Renter Status, 2009" 2 Air Conditioning in U.S. Homes, by Owner/Renter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings With" ,,,,"Detached",,"Attached",,"2 to 4 Units",,"5 or More Units",,"Mobile Homes" ,"Total U.S.1 (millions)" "Air Conditioning",,"Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent" "Total Homes",113.6,76.5,37.1,63.2,8.6,3.9,2.8,1.5,7.6,2.3,16.8,5.5,1.4 "Air Conditioning Equipment"

423

" Million Housing Units, Final"  

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

2 Space Heating in U.S. Homes, by Owner/Renter Status, 2009" 2 Space Heating in U.S. Homes, by Owner/Renter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings With" ,,,,"Detached",,"Attached",,"2 to 4 Units",,"5 or More Units",,"Mobile Homes" ,"Total U.S.1 (millions)" ,,"Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent" "Space Heating" "Total Homes",113.6,76.5,37.1,63.2,8.6,3.9,2.8,1.5,7.6,2.3,16.8,5.5,1.4 "Space Heating Equipment"

424

" Million Housing Units, Final"  

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

2 Appliances in U.S. Homes, by Owner/Renter Status, 2009" 2 Appliances in U.S. Homes, by Owner/Renter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings With" ,"Total U.S.1 (millions)",,,"Detached",,"Attached",,"2 to 4 Units",,"5 or More Units",,"Mobile Homes" "Appliances",,"Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent" "Total Homes",113.6,76.5,37.1,63.2,8.6,3.9,2.8,1.5,7.6,2.3,16.8,5.5,1.4 "Cooking Appliances" "Stoves (Units With Both"

425

2014 Building America House Simulation Protocols  

SciTech Connect (OSTI)

As BA has grown to include a large and diverse cross-section of the home building and retrofit industries, it has become more important to develop accurate, consistent analysis techniques to measure progress towards the program's goals. The House Simulation Protocol (HSP) document provides guidance to program partners and managers so they can compare energy savings for new construction and retrofit projects. The HSP provides the program with analysis methods that are proven to be effective and reliable in investigating the energy use of advanced energy systems and of entire houses.

Wilson, E.; Engebrecht-Metzger, C.; Horowitz, S.; Hendron, R.

2014-03-01T23:59:59.000Z

426

Low-Income Housing Tax Credits  

Science Journals Connector (OSTI)

Abstract The Low-Income Housing Tax Credit (LIHTC) programme is the primary subsidy mechanism used to support the development of rental housing for low-income households in the United States. The programme adds about 1300 projects and 91000 units per year. These projects are privately owned. The owners of the projects receive tax credits each year for 10 years in exchange for a commitment to maintain the units at affordable rents for occupancy by low-income households for a period of at least 15 years. The programme is proving to be popular with developers, but it is vulnerable to fluctuations in credit markets.

K. McClure

2012-01-01T23:59:59.000Z

427

Key-Insulated Symmetric Key Cryptography and Mitigating Attacks against Cryptographic Cloud Software  

E-Print Network [OSTI]

Key-Insulated Symmetric Key Cryptography and Mitigating Attacks against Cryptographic Cloud- sociated cryptographic keys in their entirety. In this paper, we investigate key-insulated symmetric key. To illustrate the feasibility of key-insulated symmetric key cryptography, we also report a proof

Dodis, Yevgeniy

428

"Table HC3.1 Housing Unit Characteristics by Owner-Occupied Housing Unit, 2005"  

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

Housing Unit Characteristics by Owner-Occupied Housing Unit, 2005" Housing Unit Characteristics by Owner-Occupied Housing Unit, 2005" " Million Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit" ,"U.S. Housing Units (millions" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Housing Unit Characteristics",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,78.1,64.1,4.2,1.8,2.3,5.7 "Census Region and Division" "Northeast",20.6,13.4,10.4,1.4,1,0.3,0.4 "New England",5.5,3.8,3.1,"Q",0.3,"Q","Q" "Middle Atlantic",15.1,9.6,7.3,1.3,0.6,"Q","Q"

429

"Table HC4.1 Housing Unit Characteristics by Renter-Occupied Housing Unit, 2005"  

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

Housing Unit Characteristics by Renter-Occupied Housing Unit, 2005" Housing Unit Characteristics by Renter-Occupied Housing Unit, 2005" " Million Housing Units" ,," Renter-Occupied Housing Units (millions)","Type of Renter-Occupied Housing Unit" ,"U.S. Housing Units (millions" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Housing Unit Characteristics",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,33,8,3.4,5.9,14.4,1.2 "Census Region and Division" "Northeast",20.6,7.2,0.8,0.9,1.6,3.8,"Q" "New England",5.5,1.7,0.2,"Q",0.6,0.9,"Q" "Middle Atlantic",15.1,5.5,0.7,0.9,1,2.9,"Q"

430

Housing Price Dynamics in Time and Space: Predictability, Liquidity and Investor Returns  

E-Print Network [OSTI]

C. A. (1996). OFHEO house price indexes: HPI technicalsense of elevated housing prices. Federal Reserve Bank ofJ. E. (1991). Measuring prices in retransaction housing

Hwang, Min; Quigley, John M.

2010-01-01T23:59:59.000Z

431

Holistic revitalization in small post-industrial cities : tools for urban housing development  

E-Print Network [OSTI]

For generations, housing programs have sought to utilize redevelopment projects to accomplish broader community revitalization goals. Contemporary affordable housing practice embodies this idea in large housing development ...

Beam, Jeffrey (Jeffrey J.)

2009-01-01T23:59:59.000Z

432

The "Mortgage Consensus and the Housing Bubble: Revisiting the Post-Fordism Debate  

E-Print Network [OSTI]

Consensus and the Housing Bubble Wyly, Elvin, and JasonConsensus and the Housing Bubble References Amin, Ash.Consensus and the Housing Bubble Jones-Correa, Michael.

Flores Jr., Luis

2014-01-01T23:59:59.000Z

433

Illinois Institute of Technology Housing & Residential Services  

E-Print Network [OSTI]

Illinois Institute of Technology Housing & Residential Services Student Guide to 20102011 & assemble beds, etc); · Remove posters, paper, tape, sticky tack, etc from all surfaces; · Wipe clean all walls and furniture; · If living in an apartment, wipe clean the kitchen appliances, cabinets

Heller, Barbara

434

Biotechnology regulation: White House holds the ring  

Science Journals Connector (OSTI)

... House Office of Science and Technology Policy (OSTP) says, in a major statement on biotechnology regulation*, that the Recombinant DNA Advisory Committee (RAC) of the National Institutes of ... research, and endorses the actions of the Environmental Protection Agency in moving to regulate industrial biotechnology.

Tim Beardsley

1985-01-10T23:59:59.000Z

435

House Rejects Southern Idaho Power Line  

Science Journals Connector (OSTI)

The House of Representatives has refused to go along with the Bonneville Power Administration's plans to build a power transmission line into southern Idaho, where Monsanto hopes to use part of the power in a planned expansion of its elemental phosphorus ...

1964-06-22T23:59:59.000Z

436

1 Old Faculty Club 2 Boyd House  

E-Print Network [OSTI]

, Visitor Center 23 Carpenter Hall 24 Carson Engineering Center 25 Devon Energy Hall 26 Felgar Hall 27 Swim Center 76 Cross Center 77 OCCE Cross Center Main 78 Coats Hall, Law 79 Sam Noble Oklahoma MuseumCAMPUS MAP 1 Old Faculty Club 2 Boyd House 3 Whitehand Hall 4 Catlett Music Center 5 Fred Jones Jr

Xue, Ming

437

Bachelor Thesis Future sustainable terraced houses  

E-Print Network [OSTI]

Cardiff University August 4, 2014 #12;Colophon Title: Future sustainable residential buildings in Cardiff a first introduction about sustainability in the building sector. Collecting data about the future climateBachelor Thesis Future sustainable terraced houses in Cardiff Karin Ernst University of Twente

Vellekoop, Michel

438

Page 1 of 4 Housing Internet Services  

E-Print Network [OSTI]

of Technology #12;Page 2 of 4 Introduction to Curtin Internet Services Internet services from Housing Guide). Access to the Curtin INTRANET (Curtin web pages remains free) Choose an alternative external is provided in setting up your account or choosing an ISP. Access to the Curtin INTRANET (Curtin web pages

439

SUMMER ARCHITECTURE ACADEMY HOUSING AND MEDICAL  

E-Print Network [OSTI]

SUMMER ARCHITECTURE ACADEMY HOUSING AND MEDICAL INFORMATION AND AUTHORIZATION FOR STUDENTS UNDER 18 YEARS OLD To: Summer Architecture Academy students and parents From: University of Oregon Department of Architecture We are looking forward to another exciting and educational Summer Architecture Academy. Many

440

" Million Housing Units, Final"  

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

Televisions in U.S. Homes, by Housing Unit Type, 2009" Televisions in U.S. Homes, by Housing Unit Type, 2009" " Million Housing Units, Final" ,,"Housing Unit Type" ,,"Single-Family Units",,"Apartments in Buildings With" ,"Total U.S.1 (millions)" ,," Detached"," Attached"," 2 to 4 Units","5 or More Units","Mobile Homes" "Televisions" "Total Homes",113.6,71.8,6.7,9,19.1,6.9 "Televisions" "Number of Televisions" 0,1.5,0.5,0.1,0.2,0.6,"Q" 1,24.2,11,1.2,3,7.3,1.7 2,37.5,21.4,2.4,3.3,7.7,2.7 3,26.6,18.4,2,1.8,2.8,1.6 4,14.2,11.6,0.7,0.6,0.5,0.7 "5 or More",9.7,8.8,0.4,0.2,"Q",0.2 "Most-Used Television" "Display Size"

Note: This page contains sample records for the topic "key assumptions housing" 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

" Million Housing Units, Final"  

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

Computers and Other Electronics in U.S. Homes, by Housing Unit Type, 2009" Computers and Other Electronics in U.S. Homes, by Housing Unit Type, 2009" " Million Housing Units, Final" ,,"Housing Unit Type" ,,"Single-Family Units",,"Apartments in Buildings With" ,"Total U.S.1 (millions)" ,," Detached"," Attached"," 2 to 4 Units","5 or More Units","Mobile Homes" "Computers and Other Electronics" "Total Homes",113.6,71.8,6.7,9,19.1,6.9 "Computers" "Number of Computers" 0,27.4,13.3,1.6,3.1,6.2,3.2 1,46.9,29,3,3.9,8.4,2.6 2,24.3,17.4,1.2,1.5,3.4,0.8 3,9.5,7.5,0.6,0.4,0.8,0.2 4,3.6,3,0.2,0.1,0.2,"Q" "5 or More",2,1.7,0.1,"Q",0.1,"Q"

442

President Obama Announces More Key Administration Posts | Department of  

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

April 17, 2009 - 12:00am April 17, 2009 - 12:00am Addthis WASHINGTON, DC - Today, President Barack Obama announced his intent to nominate the following individuals for key administration posts: Christine M. Griffin, Deputy Director of Office of Personnel Management; Kevin Concannon, Under Secretary for Food, Nutrition and Consumer Services, United States Department of Agriculture; Rajiv Shah, Under Secretary for Research, Education, and Economics, United States Department of Agriculture; Michael Nacht, Assistant Secretary of Defense (Global Strategic Affairs), Department of Defense; Mercedes Márquez, Assistant Secretary for Community Planning and Development, Department of Housing and Urban Development; Raymond M. Jefferson, Assistant Secretary for Veterans Employment and Training, Department of Labor; Robert S. Litt, General

443

Property values, housing subsidies and incentives : evidence from Chile's current housing policies  

E-Print Network [OSTI]

This study evaluates the performance of low income housing subsidy programs currently operating in Chile. The use of detailed microdata allows a close assessment of the relationship between individual subsidy grants, ...

Razmilic Burgos, Slaven Antonio

2010-01-01T23:59:59.000Z

444

New housing in old Chinatown : barriers and incentives to affordable housing development  

E-Print Network [OSTI]

In the 1970s and 80s, the rapid development of San Francisco's Financial District encroached upon Chinatown's intimately-scaled neighborhood. Developers took whole city blocks that housed low-income immigrants to build the ...

Tan, Bryant

2008-01-01T23:59:59.000Z

445

Ventilation Effectiveness Research at UT-Typer Lab Houses  

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

Ventilation Effectiveness Research Ventilation Effectiveness Research at UT-Tyler Lab Houses Source Of Outside Air, Distribution, Filtration Armin Rudd Twin (almost) Lab Houses at UT-Tyler House 2: Unvented attic, House 1: Vented attic lower loads + PV Ventilation Effectiveness Research 30 April 2013 2 * 1475 ft 2 , 3-bedroom houses * House 2 was mirrored plan * 45 cfm 62.2 ventilation rate * Garage connected to house on only one wall * Access to attic via pull-down stairs in garage * Further access to House 2 unvented attic through gasket sealed door Ventilation Effectiveness Research 30 April 2013 3 Testing Approach  Building enclosure and building mechanical systems characterization by measurement of building enclosure air leakage, central air distribution system airflows, and ventilation system airflows.

446

2014-07-08 Issuance: ASRAC Manufactured Housing Working Group...  

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

7-08 Issuance: ASRAC Manufactured Housing Working Group; Notice of Membership 2014-07-08 Issuance: ASRAC Manufactured Housing Working Group; Notice of Membership This document is a...

447

Upgrading : an alternative approach towards housing reform in China  

E-Print Network [OSTI]

The thesis is a study on urban housing upgrading in China. The main objective is to look at upgrading, which has been widely used in many developing countries, as an alternative approach to solving the existing urban housing ...

He, Fang, 1956-

1989-01-01T23:59:59.000Z

448

Expanding the housing supply through conversions of the existing stock  

E-Print Network [OSTI]

A large share of households remain poorly housed in the United States despite the steady improvement in overall housing conditions throughout the postwar period. Households that face the greatest difficulty in gaining ...

Pogharian, Sevag V. (Sevag Vasken)

1990-01-01T23:59:59.000Z

449

LIVE from the White House Science Fair | Department of Energy  

Energy Savers [EERE]

LIVE from the White House Science Fair LIVE from the White House Science Fair October 18, 2010 - 11:31am Addthis John Schueler John Schueler Former New Media Specialist, Office of...

450

Keynote Address: Cristin Dorgelo, White House Office of Science...  

Energy Savers [EERE]

Cristin Dorgelo, White House Office of Science and Technology Policy Keynote Address: Cristin Dorgelo, White House Office of Science and Technology Policy May 21, 2014 2:20PM to...

451

Statement from the White House Press Secretary on the Ongoing...  

Energy Savers [EERE]

the White House Press Secretary on the Ongoing U.S. Response to the Earthquakes and Tsunami in Japan Statement from the White House Press Secretary on the Ongoing U.S. Response to...

452

2014 White House Tribal Nations Conference | Department of Energy  

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

White House Tribal Nations Conference 2014 White House Tribal Nations Conference December 3, 2014 9:00AM to 5:00PM EST On Wednesday, December 3, President Obama will host the 2014...

453

White House Highlights Two Energy-Slashing, Open Data Initiatives...  

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

White House Highlights Two Energy-Slashing, Open Data Initiatives White House Highlights Two Energy-Slashing, Open Data Initiatives May 28, 2014 - 10:22am Addthis The Buildings...

454

Secretary Moniz's Remarks at the 2014 White House Solar Summit...  

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

4 White House Solar Summit Secretary Moniz's Remarks at the 2014 White House Solar Summit April 17, 2014 - 5:32pm Addthis Dr. Ernest Moniz Dr. Ernest Moniz Secretary of Energy Well...

455

White House Honors Four Early-Career Sandia Researchers | National...  

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

Photo Gallery Jobs Apply for Our Jobs Our Jobs Working at NNSA Blog Home NNSA Blog White House Honors Four Early-Career Sandia Researchers White House Honors Four Early-Career...

456

Keynote Address: Ali Zaidi, the White House Domestic Policy Council...  

Energy Savers [EERE]

Ali Zaidi, the White House Domestic Policy Council Keynote Address: Ali Zaidi, the White House Domestic Policy Council May 21, 2014 2:05PM to 2:30PM PDT Pacific Ballroom Keynote...

457

Community opposition to affordable housing : jamming the system  

E-Print Network [OSTI]

This thesis explores community opposition to affordable housing in the suburban communities of Massachusetts. In the twenty years since Chapter 774 was enacted, a significant amount of affordable housing has been developed. ...

Dash, Stuart David

1989-01-01T23:59:59.000Z

458

The Humboldt House-Rye Patch geothermal district: an interim...  

Open Energy Info (EERE)

search OpenEI Reference LibraryAdd to library Conference Paper: The Humboldt House-Rye Patch geothermal district: an interim view Abstract The Humboldt House - Rye Patch...

459

Native Learning Center Indian Housing Training Conference | Department...  

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

Native Learning Center Indian Housing Training Conference Native Learning Center Indian Housing Training Conference August 19, 2014 12:00PM EDT to August 21, 2014 9:00PM EDT...

460

SEP Success Story: Back to the Basics of Sustainability -- Houses...  

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

Back to the Basics of Sustainability -- Houses of Bark and Energy of Sunshine SEP Success Story: Back to the Basics of Sustainability -- Houses of Bark and Energy of Sunshine...

Note: This page contains sample records for the topic "key assumptions housing" 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

" Million U.S. Housing Units"  

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

Housing Unit Characteristics by Type of Housing Unit, 2005" Housing Unit Characteristics by Type of Housing Unit, 2005" " Million U.S. Housing Units" ,,"Type of Housing Unit" ,"Housing Units (millions)","Single-Family Units",,"Apartments in Buildings With--" "Housing Unit Characteristics",,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,72.1,7.6,7.8,16.7,6.9 "Census Region and Division" "Northeast",20.6,11.2,2.3,2.5,4.2,0.4 "New England",5.5,3.2,0.2,0.9,1,0.2 "Middle Atlantic",15.1,7.9,2.1,1.6,3.2,0.3 "Midwest",25.6,18.7,1.5,1.5,3.1,0.8 "East North Central",17.7,12.9,1.2,1.2,2.1,0.4

462

Bases, Assumptions, and Results of the Flowsheet Calculations for the Decision Phase Salt Disposition Alternatives  

SciTech Connect (OSTI)

The High Level Waste (HLW) Salt Disposition Systems Engineering Team was formed on March 13, 1998, and chartered to identify options, evaluate alternatives, and recommend a selected alternative(s) for processing HLW salt to a permitted wasteform. This requirement arises because the existing In-Tank Precipitation process at the Savannah River Site, as currently configured, cannot simultaneously meet the HLW production and Authorization Basis safety requirements. This engineering study was performed in four phases. This document provides the technical bases, assumptions, and results of this engineering study.

Dimenna, R.A.; Jacobs, R.A.; Taylor, G.A.; Durate, O.E.; Paul, P.K.; Elder, H.H.; Pike, J.A.; Fowler, J.R.; Rutland, P.L.; Gregory, M.V.; Smith III, F.G.; Hang, T.; Subosits, S.G.; Campbell, S.G.

2001-03-26T23:59:59.000Z

463

Diversion assumptions for high-powered research reactors. ISPO C-50 Phase 1  

SciTech Connect (OSTI)

This study deals with diversion assumptions for high-powered research reactors -- specifically, MTR fuel; pool- or tank-type research reactors with light-water moderator; and water, beryllium, or graphite reflectors, and which have a power level of 25 MW(t) or more. The objective is to provide assistance to the IAEA in documentation of criteria and inspection observables related to undeclared plutonium production in the reactors described above, including: criteria for undeclared plutonium production, necessary design information for implementation of these criteria, verification guidelines including neutron physics and heat transfer, and safeguards measures to facilitate the detection of undeclared plutonium production at large research reactors.

Binford, F.T.

1984-01-01T23:59:59.000Z

464

Vehicle Technologies Office: Key Activities in Vehicles  

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

Key Activities in Key Activities in Vehicles to someone by E-mail Share Vehicle Technologies Office: Key Activities in Vehicles on Facebook Tweet about Vehicle Technologies Office: Key Activities in Vehicles on Twitter Bookmark Vehicle Technologies Office: Key Activities in Vehicles on Google Bookmark Vehicle Technologies Office: Key Activities in Vehicles on Delicious Rank Vehicle Technologies Office: Key Activities in Vehicles on Digg Find More places to share Vehicle Technologies Office: Key Activities in Vehicles on AddThis.com... Key Activities Mission, Vision, & Goals Plans, Implementation, & Results Organization & Contacts National Laboratories Budget Partnerships Key Activities in Vehicles We conduct work in four key areas to develop and deploy vehicle technologies that reduce the use of petroleum while maintaining or

465

Fuel Cell Technologies Office: Key Activities  

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

Key Activities to Key Activities to someone by E-mail Share Fuel Cell Technologies Office: Key Activities on Facebook Tweet about Fuel Cell Technologies Office: Key Activities on Twitter Bookmark Fuel Cell Technologies Office: Key Activities on Google Bookmark Fuel Cell Technologies Office: Key Activities on Delicious Rank Fuel Cell Technologies Office: Key Activities on Digg Find More places to share Fuel Cell Technologies Office: Key Activities on AddThis.com... Key Activities Plans, Implementation, & Results Accomplishments Organization Chart & Contacts Quick Links Hydrogen Production Hydrogen Delivery Hydrogen Storage Fuel Cells Technology Validation Manufacturing Codes & Standards Education Systems Analysis Contacts Key Activities The Fuel Cell Technologies Office conducts work in several key areas to

466

University of Central Florida Housing and Residence Life  

E-Print Network [OSTI]

:______________________________________________________________ Phone#:________________________ Cell Phone #:_______________________ Fax #:____________________________E#: _______________________Cell Phone #:_____________________ Fax #:______________________E-mail:_____________________ Housing:____ _________________________ Company Intern Coordinator/Sponsor: ______________________________ Office Phone

Kaup, David J.

467

White House science office 'needs more focus', says panel  

Science Journals Connector (OSTI)

... [WASHINGTON] The Office of ... of Science and Technology Policy (OSTP) in the US White House should have a more tightly ...

COLIN MACILWAIN

1997-04-03T23:59:59.000Z

468

UCR Recreation Department Big Bear Lake House Policies  

E-Print Network [OSTI]

UCR Recreation Department Big Bear Lake House Policies The UCR Recreation Department strives of service animals. 15. The UCR Recreation Department Big Bear Lake House is a non-smoking facility. 16 Agreement with them while staying at the facility. 18. The UCR Recreation Department big Bear Lake House

Mills, Allen P.

469

Designing and Building Houses that are Solar Ready  

Broader source: Energy.gov [DOE]

Builders considering adding photovoltaic (PV) systems to new houses after initial construction is completed can save time and money by following new house Solar Ready design guidelines. Solar Ready houses are designed and built with integrated electrical and mechanical features that streamline the integration of PV systems.

470

THE WHITE HOUSE Office of the Press Secretary  

E-Print Network [OSTI]

THE WHITE HOUSE Office of the Press Secretary FOR IMMEDIATE RELEASE September 30, 2013 President for Scholars Laura Paulson ­ Member, Committee for the Preservation of the White House Quyen D. Chu ­ Member of Minnesota. Laura Paulson, Appointee for Member, Committee for the Preservation of the White House Laura

Wisconsin at Madison, University of

471

USDA Grants to Help Repair Housing in Rural Areas  

Broader source: Energy.gov [DOE]

The U.S. Department of Agriculture (USDA) is accepting applications for the Housing Preservation Grant program, which provides funding to repair low-income housing, rental properties, or co-op owned housing. Eligible sponsors include state agencies, local government, Tribes, and nonprofits.

472

Natural Ventilation Design for Houses in Thailand Chalermwat Tantasavasdia  

E-Print Network [OSTI]

This paper explores the potential of using natural ventilation as a passive cooling system for new house windows in suburban houses can be opened. Passive cooling design elements are mostly ignored in modern1 Natural Ventilation Design for Houses in Thailand Chalermwat Tantasavasdia , Jelena Srebricb

Chen, Qingyan "Yan"

473

Strategizing for housing : an investigation of the production and regulation of low-income housing in the suburgs of Beirut  

E-Print Network [OSTI]

The current consensus in housing policy recognizes the importance of learning from rather than about informal settlements. To serve this end, this dissertation presents a novel methodology for investigating land and housing ...

Fawaz, Mona M., 1972-

2004-01-01T23:59:59.000Z

474

Designing housing in the third world : a prototype for housing the Maquiladora workers in the northern cities of Mexico  

E-Print Network [OSTI]

The difficulty in designing low-income housing is !hat. it will not sit quietly, other problems keep Jostling about it. To design low-income housing one must consider the extreme conditions of poverty and urban problems, ...

Vargas, Rodrigo M. (Rodrigo Manuel)

1993-01-01T23:59:59.000Z

475

Assumptions to the Annual Energy Outlook 2001 - Table 3. Coal-Related  

Gasoline and Diesel Fuel Update (EIA)

Coal-Related Methane Assumptions Coal-Related Methane Assumptions Northern Appalachia Central Appalachia Southern Appalachia Eastern Interior Western Fraction of underground coal production at: Gassy mines 0.885 0.368 0.971 0.876 0.681 Nongassy mines 0.115 0.632 0.029 0.124 0.319 Production from mines with degasification systems (fraction of underground production) 0.541 0.074 0.810 0.067 0.056 Emission factors (kilograms methane per short ton of coal produced) Underground Mining Gassy mines 6.047 5.641 27.346 2.988 6.027 Nongassy mines 0.362 0.076 15.959 0.285 0.245 Degassified mines 4.085 37.724 22.025 0.310 0.000 Surface Mining 0.706 0.706 0.706 0.706 0.706 Post-Mining, underground-mined 1.505 1.505 1.505 1.505 1.505 Post-Mining, surface-mined 0.061 0.061 0.061 0.061 0.061 Methane recovery at active coal mines

476

Public/private key certification authority and key distribution. Draft  

SciTech Connect (OSTI)

Traditional encryption, which protects messages from prying eyes, has been used for many decades. The present concepts of encryption are built from that heritage. Utilization of modern software-based encryption techniques implies much more than simply converting files to an unreadable form. Ubiquitous use of computers and advances in encryption technology coupled with the use of wide-area networking completely changed the reasons for utilizing encryption technology. The technology demands a new and extensive infrastructure to support these functions. Full understanding of these functions, their utility and value, and the need for an infrastructure, takes extensive exposure to the new paradigm. This paper addresses issues surrounding the establishment and operation of a key management system (i.e., certification authority) that is essential to the successful implementation and wide-spread use of encryption.

Long, J.P.; Christensen, M.J.; Sturtevant, A.P.; Johnston, W.E.

1995-09-25T23:59:59.000Z

477

Japanese Housing Tenure Choice and Welfare Implications after the Revision of the Tenant Protection Law  

Science Journals Connector (OSTI)

A new mode of housing tenure in Japan, rental housing with fixed rental terms, ... by analyzing the determinants of the choices by households among the three types of housing tenure in Japan: owned housing, gener...

Miki Seko; Kazuto Sumita

2007-10-01T23:59:59.000Z

478

Housing preferences and development study in the post LPG era in India: a case of Pune  

Science Journals Connector (OSTI)

Significant changes have been observed since 1991 in the nature and pattern of urban growth in India. Cities are in the midst of restructuring space, in terms of both use and form. The city of Pune is selected for primary field case study of urban housing and development scenario. Pune is one of the selected half a dozen urban agglomerations experiencing the developmental effects of liberalisation-privatisation-globalisation (LPG) process the country is undergoing since 1991. The analysis includes profile of the city, various facets of residential development, a detailed primary survey of households and real estate stakeholders. The paper concludes with key observations on residential real estate development and on the other hand suitable lessons are learnt from the housing preference study to establish the need for alternative sustainable urban development pattern for Pune in particular and other similar LPG affected Indian metropolitan cities in general.

J. Chadchan; R. Shankar

2014-01-01T23:59:59.000Z

479

SunShot Initiative: Key Activities  

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

Key Activities Key Activities Printable Version Share this resource Send a link to SunShot Initiative: Key Activities to someone by E-mail Share SunShot Initiative: Key Activities on Facebook Tweet about SunShot Initiative: Key Activities on Twitter Bookmark SunShot Initiative: Key Activities on Google Bookmark SunShot Initiative: Key Activities on Delicious Rank SunShot Initiative: Key Activities on Digg Find More places to share SunShot Initiative: Key Activities on AddThis.com... Concentrating Solar Power Photovoltaics Systems Integration Balance of Systems Key Activities Under the SunShot Initiative, the DOE Solar Office issues competitive solicitations that fund selective research projects aimed at transforming the ways the United States generates, stores, and utilizes solar energy.

480

Alternative Fuels Data Center: Key Federal Legislation  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Key Federal Key Federal Legislation to someone by E-mail Share Alternative Fuels Data Center: Key Federal Legislation on Facebook Tweet about Alternative Fuels Data Center: Key Federal Legislation on Twitter Bookmark Alternative Fuels Data Center: Key Federal Legislation on Google Bookmark Alternative Fuels Data Center: Key Federal Legislation on Delicious Rank Alternative Fuels Data Center: Key Federal Legislation on Digg Find More places to share Alternative Fuels Data Center: Key Federal Legislation on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Key Federal Legislation The information below includes a brief chronology and summaries of key federal legislation related to alternative fuels and vehicles, air quality,

Note: This page contains sample records for the topic "key assumptions housing" 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

North American wood markets hit by United States housing crash North American wood markets hit by United States housing crash  

E-Print Network [OSTI]

North American wood markets hit by United States housing crash North American wood markets hit by United States housing crash North American wood markets hit by United States housing crash 19 themes were: 1. softwood market developments, and 2. wood energy and wood mobilization. The main

482

Typical Oak Ridge cemesto houses and city bus | Y-12 National...  

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

Typical Oak Ridge cemesto ... Typical Oak Ridge cemesto houses and city bus Typical Oak Ridge cemesto houses and city bus...

483

" Million Housing Units, Final"  

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

2 Water Heating in U.S. Homes, by Owner/Renter Status, 2009" 2 Water Heating in U.S. Homes, by Owner/Renter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings With" ,"Total U.S.1 (millions)",,,"Detached",,"Attached",,"2 to 4 Units",,"5 or More Units",,"Mobile Homes" ,,"Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent" "Water Heating" "Total Homes",113.6,76.5,37.1,63.2,8.6,3.9,2.8,1.5,7.6,2.3,16.8,5.5,1.4 "Number of Storage Tank Water Heaters"

484

" Million Housing Units, Final"  

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

2 Structural and Geographic Characteristics of U.S. Homes, by Owner/Renter Status, 2009" 2 Structural and Geographic Characteristics of U.S. Homes, by Owner/Renter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings With" ,,,,"Detached",,"Attached",,"2 to 4 Units",,"5 or More Units",,"Mobile Homes" ,"Total U.S.1 (millions)" "Structural and Geographic Characteristics",,"Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent" "Total Homes",113.6,76.5,37.1,63.2,8.6,3.9,2.8,1.5,7.6,2.3,16.8,5.5,1.4

485

" Million Housing Units, Final"  

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

2 Computers and Other Electronics in U.S. Homes, by Owner/Renter Status, 2009" 2 Computers and Other Electronics in U.S. Homes, by Owner/Renter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings With" ,,,,"Detached",,"Attached",,"2 to 4 Units",,"5 or More Units",,"Mobile Homes" ,"Total U.S.1 (millions)" ,,"Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent" "Computers and Other Electronics" "Total Homes",113.6,76.5,37.1,63.2,8.6,3.9,2.8,1.5,7.6,2.3,16.8,5.5,1.4

486

LBNL's In-House Energy Management Program  

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

1 1 LBNL's In-House Energy Management Program IHEM retrofit projects save Berkeley Lab $2.3 million per year in electricity costs. The increase in energy use after 1994 reflects the start-up of new experimental facilities. Technologies developed at Lawrence Berkeley National Laboratory's Center for Building Science have helped energy users in the U.S. and throughout the world save energy since the 1970s. To save energy and money by applying energy-efficient technology and practices in its own facilities, as well as set an example for the rest of the world, Berkeley Lab launched an energy-savings program in 1985. The efforts of the In-House Energy Management Program (IHEM) have led to an annual savings of $2.3 million in energy costs at Berkeley Lab. Additional benefits include reduced

487

Foundation House, New York, geothermal heat pump  

SciTech Connect (OSTI)

The Foundation House, planned to house half a dozen nonprofit foundations, will be constructed on 64th Street just east of Central Park in Manhattan, New York. It is in a Landmark District and designed by the architectural firm of Henry George Greene, AIA of Scarsdale, NY (project architect, David Wasserman). The 20,000-square foot building of five floors above ground and two below, will illustrate how energy-savings technology and environmentally sensitive construction methods can be economical. The heating and cooling system, including refrigeration requirements for the freezers and refrigerators in the commercial kitchen, will be provided by geothermal heat pumps using standing column wells. The facility is the first building on the island of Manhattan to feature geothermal heating and cooling. The mechanical system has been the assistance of Carl Orio`s firm of Water & Energy Systems corporation of Atkinson, New Hampshire. The two 1550-foot standing column wells were drilled by John Barnes of Flushing, NY.

Lund, J.W.

1997-08-01T23:59:59.000Z

488

Mass spectrometer vacuum housing and pumping system  

DOE Patents [OSTI]

A vacuum housing and pumping system for a portable gas chromatograph/mass spectrometer (GC/MS). The vacuum housing section of the system has minimum weight for portability while designed and constructed to utilize metal gasket sealed stainless steel to be compatible with high vacuum operation. The vacuum pumping section of the system consists of a sorption (getter) pump to remove atmospheric leakage and outgassing contaminants as well as the gas chromatograph carrier gas (hydrogen) and an ion pump to remove the argon from atmospheric leaks. The overall GC/MS system has broad application to contaminants, hazardous materials, illegal drugs, pollution monitoring, etc., as well as for use by chemical weapon treaty verification teams, due to the light weight and portability thereof.

Coutts, Gerald W. (Livermore, CA); Bushman, John F. (Oakley, CA); Alger, Terry W. (Tracy, CA)

1996-01-01T23:59:59.000Z

489

Mass spectrometer vacuum housing and pumping system  

DOE Patents [OSTI]

A vacuum housing and pumping system is described for a portable gas chromatograph/mass spectrometer (GC/MS). The vacuum housing section of the system has minimum weight for portability while designed and constructed to utilize metal gasket sealed stainless steel to be compatible with high vacuum operation. The vacuum pumping section of the system consists of a sorption (getter) pump to remove atmospheric leakage and outgassing contaminants as well as the gas chromatograph carrier gas (hydrogen) and an ion pump to remove the argon from atmospheric leaks. The overall GC/MS system has broad application to contaminants, hazardous materials, illegal drugs, pollution monitoring, etc., as well as for use by chemical weapon treaty verification teams, due to the light weight and portability thereof. 7 figs.

Coutts, G.W.; Bushman, J.F.; Alger, T.W.

1996-07-23T23:59:59.000Z

490

Building America House Simulation Protocols (Revised)  

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

House House Simulation Protocols Robert Hendron and Cheryn Engebrecht National Renewable Energy Laboratory Revised October 2010 Prepared by the National Renewable Energy Laboratory For the U.S. Department of Energy Building Technologies Program ii NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process,

491

" Million Housing Units, Final"  

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

2 Fuels Used and End Uses in U.S. Homes, by Owner/Renter Status, 2009" 2 Fuels Used and End Uses in U.S. Homes, by Owner/Renter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings With" ,,,,"Detached",,"Attached",,"2 to 4 Units",,"5 or More Units",,"Mobile Homes" ,"Total U.S.1 (millions)" "Fuels Used and End Uses",,"Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent" "Total Homes",113.6,76.5,37.1,63.2,8.6,3.9,2.8,1.5,7.6,2.3,16.8,5.5,1.4 "Fuels Used for Any Use"

492

Energy Efficient Affordable Housing Construction Program | Department of  

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

Efficient Affordable Housing Construction Program Efficient Affordable Housing Construction Program Energy Efficient Affordable Housing Construction Program < Back Eligibility Low-Income Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Sealing Your Home Cooling Appliances & Electronics Construction Design & Remodeling Ventilation Heat Pumps Commercial Lighting Lighting Water Heating Windows, Doors, & Skylights Maximum Rebate Varies based on housing type and size Program Info Start Date 05/19/2006 Expiration Date 12/12/2015 State Illinois Program Type State Grant Program Rebate Amount Varies based on housing type and size Provider Illinois Department of Commerce and Economic Opportunity The Department of Commerce and Economic Opportunity (DCEO) provides grants

493

Measurement-device-independent quantum key distribution based on Bell's inequality  

E-Print Network [OSTI]

We propose two quantum key distribution (QKD) protocols based on Bell's inequality, which can be considered as modified time-reversed E91 protocol. Similar to the measurement-device-independent quantum key distribution (MDI-QKD) protocol, the first scheme requires the assumption that Alice and Bob perfectly characterize the encoded quantum states. However, our second protocol does not require this assumption, which can defeat more known and unknown source-side attacks compared with the MDI-QKD. The two protocols are naturally immune to all hacking attacks with respect to detections. Therefore, the security of the two protocols can be proven based on the violation of Bell's inequality with measurement data under fair-sampling assumption. In our simulation, the results of both protocols show that long-distance quantum key distribution over 200 km remains secure with conventional lasers in the asymptotic-data case. We present a new technique to estimate the Bell's inequality violation, which can also be applied to other fields of quantum information processing.

Hua-Lei Yin; Yao Fu; Yan-Lin Tang; Yuan Li; Teng-Yun Chen; Zeng-Bing Chen

2014-07-28T23:59:59.000Z

494

Building America 2014 House Simulation Protocols  

Broader source: Energy.gov [DOE]

The House Simulation Protocol document was developed to track and manage progress toward Building America's multi-year, average whole-building energy reduction research goals for new construction and existing homes, using a consistent analytical reference point. This report summarizes the guidelines for developing and reporting these analytical results in a consistent and meaningful manner for all home energy uses using standard operating conditions.

495

Renewable Energy Community: Key Elements  

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

of Energy of Energy Office of Energy Efficiency & Renewable Energy National Renewable Energy Laboratory Innovation for Our Energy Future A Renewable Energy Community: Key Elements A reinvented community to meet untapped customer needs for shelter and transportation with minimal environmental impacts, stable energy costs, and a sense of belonging N. Carlisle, J. Elling, and T. Penney Technical Report NREL/TP-540-42774 January 2008 NREL is operated by Midwest Research Institute ● Battelle Contract No. DE-AC36-99-GO10337 National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov Operated for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy by Midwest Research Institute * Battelle

496

Performance House -- A Cold Climate Challenge Home  

SciTech Connect (OSTI)

Working with builder partners on a test homes allows for vetting of whole-house building strategies to eliminate any potential unintended consequences prior to implementing these solution packages on a production scale. To support this research, CARB partnered with Preferred Builders Inc. on a high-performance test home in Old Greenwich, CT. The philosophy and science behind the 2,700 ft2 'Performance House' was based on the premise that homes should be safe, healthy, comfortable, durable, efficient, and adapt with the homeowners. The technologies and strategies used in the 'Performance House' were not cutting-edge, but simply 'best practices practiced'. The focus was on simplicity in construction, maintenance, and operation. When seeking a 30% source energy savings targets over a comparable 2009 IECC code-built home in the cold climate zone, nearly all components of a home must be optimized. Careful planning and design are critical. To help builders and architects seeking to match the performance of this home, a step-by-step guide through the building shell components of DOE's Challenge Home are provided in a pictorial story book. The end result was a DOE Challenge Home that achieved a HERS Index Score of 20 (43 without PV, the minimum target was 55 for compliance). This home was also awarded the 2012 HOBI for Best Green Energy Efficient Home from the Home Builders & Remodelers Association of Connecticut.

Puttagunta, S.; Grab, J.; Williamson, J.

2013-08-01T23:59:59.000Z

497

ENERGY STAR Success Story Mark Twain House Museum  

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

ENERGY STAR Success Story: ENERGY STAR Success Story: Mark Twain House & Museum Built in 1874, the Mark Twain House & Museum is considered one of the premier tourist attractions in the State of Connecticut. This 19-room Victorian home changed owners numerous times before the Mark Twain Memorial and Library Commission, a non-profit organization chartered by the State of Connecticut, purchased and restored the house in 1929 for historical and educational purposes. The Museum comprises the 12,298-square-foot Main House (the historic house of Mark Twain) and the 4,935-square- foot Carriage House (the location of all staff offices). The state-of-the-art 33,000-square-foot Museum Center was added in 2003, thrusting the Mark Twain House & Museum into the 21 st Century. The Main

498

Passive Housing for an Aggressive Region | Department of Energy  

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

Passive Housing for an Aggressive Region Passive Housing for an Aggressive Region Passive Housing for an Aggressive Region July 17, 2012 - 1:59pm Addthis Lynn Meyer Presidential Management Fellow, Office of Energy Efficiency and Renewable Energy Passive is not how I would characterize the D.C. area. Ambitious, passionate, and up for a challenge -- now, that more aptly describes the Capital region and the mission of bringing passive houses to the area. A passive house meets rigorous, voluntary energy efficiency standards and requires little energy for heating or cooling. The construction of passive housing is typically more expensive upfront, but owners can recoup their investment through energy savings. Brothers Eric Lin, an interior designer, and Roger Lin, a former real estate attorney, teamed up to build a high end passive house, which just

499

Indoor Air Quality in New Energy-Efficient Houses  

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

6 6 Indoor Air Quality in New Energy-Efficient Houses Figure 1: Measurements of total volatile organic compounds in five new houses in Pennsylvania, Michigan, and Florida and median concentration in U.S. EPA study. In 1993, the Indoor Environment Program began investigating indoor air quality in new energy-efficient houses. Five new houses have been included in the study, all in the eastern U.S. Two had nearly identical floor plans and were part of a demonstration project near Pittsburgh, PA; one was built conventionally, while the other incorporated a number of energy-efficient features. The conventional house was studied for one year following construction, and the energy-efficient house was sampled on three occasions over a two-year period. The other three demonstration houses were in

500

Passive Housing for an Aggressive Region | Department of Energy  

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

Passive Housing for an Aggressive Region Passive Housing for an Aggressive Region Passive Housing for an Aggressive Region July 17, 2012 - 1:59pm Addthis Lynn Meyer Presidential Management Fellow, Office of Energy Efficiency and Renewable Energy Passive is not how I would characterize the D.C. area. Ambitious, passionate, and up for a challenge -- now, that more aptly describes the Capital region and the mission of bringing passive houses to the area. A passive house meets rigorous, voluntary energy efficiency standards and requires little energy for heating or cooling. The construction of passive housing is typically more expensive upfront, but owners can recoup their investment through energy savings. Brothers Eric Lin, an interior designer, and Roger Lin, a former real estate attorney, teamed up to build a high end passive house, which just