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1

Correlation between Median Household Income and LEED Sustainable Site Criteria for Public Transportation Access and a Regression Model Predicting Appraised Unit Value of Unimproved Parcels in Houston, Texas  

E-Print Network (OSTI)

The Leadership in Energy and Environmental Design (LEED) Green Building Rating System provides third-party verification for environmentally sustainable construction. LEED certified buildings often provide healthier work and living environments, however, it does not provide any direct economic incentives to the owners and developers. An early research suggested that there was a significant correlation between appraised unit value of a parcel and LEED sustainable site criteria for public transportation access. Moreover, the regression model for predicting appraised unit value of a parcel suggested that the coefficient of Number of Light Rail Stations was positive, while the coefficient of Number of Bus Stops was negative. This result contradicted our original expectation that both number of bus stops and light rail stations could have a positive effect on the appraised unit value. Hence it becomes important to conduct further research to explain this phenomenon. In this research, Pearson correlation was examined to determine whether there is a significant correlation between median household income and the number of bus stops and light rail stations for a given parcel that meet LEED sustainable site criteria for public transportation access. After confirming no significant correlation exists, multiple regression analysis was applied to establish a regression model for predicting unit value of a given parcel using number of bus stops and light rail stations for a given parcel that meet LEED sustainable site criteria for public transportation access, median household income and parcel area as the independent variables. Result of Pearson correlation indicated that there was no significant correlation exists between median household income and the number of bus stops and light rail stations for a given parcel which met LEED sustainable site criteria for public transportation access. Findings of multiple regression analysis suggested that all independent variables were significant predictors for unit value of a parcel. Besides, this regression model had a higher adjusted R- square value than that of the model which was established by Bhagyashri Joshi. It means that this regression model could better predict appraised unit value of an unimproved parcel.

Ji, Qundi

2010-05-01T23:59:59.000Z

2

Tax Man Cometh: Income Taxation as a Measure of State Capacity  

E-Print Network (OSTI)

Dilemma: Building State Capacity in Latin America. Berkeley:2005. Challenges to state policy capacity: Global trends andfor our construct of state capacity because income taxes

Weller, Nick; Ziegler, Melissa

2008-01-01T23:59:59.000Z

3

Low-income energy assistance: State responses to funding reductions  

SciTech Connect

Appropriations for the Low Income Home Energy Assistance Program have declined each year since FY 1986, from a level of about $2.0 billion to about $1.5 billion in FY 1988. The President's budget for FY 1989 has proposed a further reduction to about $1.2 billion. The reduction was proposed in recognition of the hundreds of millions of dollars in oil overcharge settlements available to states for this and certain other activities. GAO reviewed 13 states for information on the availability and use of oil overcharge funds; federal allotments to LIHEAP, total LIHEAP funding, and a projection of possible FY 1989 funding; the number of LIHEAP households provided heating assistance; heating benefit levels per household; LIHEAP transfers to and from other block grants; and perceptions of interest groups of past and proposed LIHEAP budget cuts.

Not Available

1988-01-01T23:59:59.000Z

4

Impact of 2001 Building Technology, state and community programs on United States employment and wage income  

SciTech Connect

The Department of Energy Office of Building Technology, State and Community Programs (BTS) is interested in assessing the potential economic impacts of its portfolio of programs on national employment and income. A special purpose version of the IMPLAN input-output model allied In Build is used in this study of all 38 BTS programs included in the FY2001 federal budget. Energy savings, investments, and impacts on U.S. national employment and wage income are reported by program for selected years to the year 2030. Energy savings from these programs have the potential of creating a total of nearly 332,000 jobs and about $5.3 billion in wage income (1995$) by the year 2030. Because the required investments to achieve these savings are capital intensive, the net effect after investment is 304,000 jobs and $5.0 billion.

MJ Scott; DJ Hostick; DB Elliott

2000-03-20T23:59:59.000Z

5

Impact of 2001 Building Technology, State and Community Programs on United States Employment and Wage Income  

SciTech Connect

The Department of Energy Office of Building Technology, State and Community Programs (BTS) is interested in assessing the potential economic impacts of its portfolio of programs on national employment and income. A special purpose version of the IMPLAN input-output model called ImBuild is used in this study of all 38 BTS programs included in the FY2001 federal budget. Energy savings, investments, and impacts on U.S. national employment and wage income are reported by program for selected years to the year 2030. Energy savings from these programs have the potential of creating a total of nearly 332,000 jobs and about $5.3 billion in wage income (1999$) by the year 2030. Because the required investments to achieve these savings are capital intensive, the net effect after investment is 304,000 jobs and $5.0 billion.

Scott, Michael J.; Hostick, Donna J.; Elliott, Douglas B.

2000-03-20T23:59:59.000Z

6

Low-Income Renewable Energy Programs: A Survey of State Clean  

E-Print Network (OSTI)

ABOUT THIS CASE STUDY SERIES A number of U.S. states have recently established clean energy funds Energy States Alliance, and by the U.S. Department of Energy (the Assistant Secretary of EnergyLow-Income Renewable Energy Programs: A Survey of State Clean Energy Funds Garrett Fitzgerald, Mark

7

Income Replacement and Reemployment Programs in Michigan and Neighboring States  

E-Print Network (OSTI)

Governments in every developed industrial economy administer programs that partially replace the earnings of workers who suffer job loss or on-the-job injury. In addition, governments administer programs to help job losers gain reemployment, either through direct job placement (for those who are job-ready) or through retraining (for those who are not). This chapter describes and discusses current policy issues surrounding the main social insurance and reemployment programs in Michigan: Unemployment Insurance (UI), which partially replaces lost earnings following loss of a job; Workers ' Compensation (WC), which pays for medical treatment, vocational rehabilitation, and lost earnings following a work-related injury or illness; and the cluster of reemployment and training programs that, since 1998, has come under the Workforce Investment Act (WIA). In addition to describing these programs, a main goal of the chapter is to offer a critical view of Michigan's programs by comparing them with corresponding programs in neighboring states. Discussion of these three programs could hardly be more timely. UI has come under attack for a range of alleged failings, and the Michigan legislature passed a bill in April 2002 that increased weekly benefits, lengthened benefit durations, and tightened the eligibility requirements

Stephen A. Woodbury; Stephen A. Woodbury

2002-01-01T23:59:59.000Z

8

Portfolio Substitution and the Revenue Cost of the Federal Income Tax Exemption for State and Local Government Bonds  

E-Print Network (OSTI)

This paper illustrates how different assumptions about household portfolio behavior influence estimates of the amount of individual income tax revenue that would be collected if the interest tax exemption for state and ...

Poterba, James M.

9

States fund an expanded range of activities under low-income home energy assistance block grant  

SciTech Connect

The low-income home energy assistance (LIHEA) block grant expanded states' flexibility and authority and permitted funds to be used for a broader range of activities not previously permitted. Unlike other block grants created under the Omnibus Budget Reconciliation Act of 1981, LIHEA received increased appropriations over the level established for the prior program to assist eligible households in meeting the costs of home energy. While heating assistance continued to account for the bulk of expenditures in most states, the majority of the 13 states GAO visited used their new authority to provide weatherization, transfer energy assistance funds to other block grants, and carry over funds to the following year. In addition, states gave increased emphasis to energy crisis assistance. Few changes were made to program management procedures. Overall, state executive and legislative branch officials found the block grant less burdensome and more desirable than the prior program. However, about half the interest groups viewed the block grant as a less desirable method of funding energy assistance programs.

Not Available

1984-06-27T23:59:59.000Z

10

Median statistics cosmological parameter values  

E-Print Network (OSTI)

We present median statistics central values and ranges for 12 cosmological parameters, using 582 measurements (published during 1990-2010) collected by Croft & Dailey (2011). On comparing to the recent Planck collaboration Ade et al. 2013 estimates of 11 of these parameters, we find good consistency in nine cases.

Crandall, Sara

2013-01-01T23:59:59.000Z

11

Residential energy consumption and expenditure patterns of low-income households in the United States  

SciTech Connect

The principal objective of this study is to compare poor and non-poor households with respect to energy consumption and expenditures, housing characteristics, and energy-related behavior. We based our study on an analysis of a national data base created by the US Department of Energy, the 1982-1983 Residential Energy Consumption Survey (RECS). RECS includes detailed information on individual households: demographic characteristics, energy-related features of the structure, heating equipment and appliances, recent conservation actions taken by the household, and fuel consumption and costs for April 1982-March 1983. We found a number of statistically significant (at the 0.05 level) differences between the two income groups in terms of demographics, heating/cooling/water heating systems, appliance saturation, the thermal integrity of their home, energy conservation behavior, energy consumption, energy expenditures, and the percentage of income spent on energy costs. For example, the non-poor used 22% more energy and paid 25% more money on utilities than the poor; however, the poor spent 20% more energy per square foot than the non-poor and spent about 25% of their income on energy expenditures, compared to 7% for the non-poor. These differences suggest different approaches that might be taken for targeting energy conservation programs to low-income households. Since the poor's ''energy burden'' is large, informational, technical, and financial assistance to low-income households remains an urgent, national priority. 13 refs., 26 tabs.

Vine, E.L.; Reyes, I.

1987-09-01T23:59:59.000Z

12

Impact of the FY 2005 Weatherization and Intergovernmental Program on United States Employment and Earned Income  

SciTech Connect

The Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) is interested in assessing the potential economic impacts of its portfolio of subprograms on national employment and income. A special purpose version of the IMPLAN input-output model called ImBuild II is used in this study of 20 subprograms of the Weatherization and Intergovernmental Program contained in the EERE final FY 2005 budget request to the Office of Management and Budget on February 2, 2004. Energy savings, investments, and impacts on U.S. national employment and earned income are reported by subprogram for selected years to the year 2030. Energy savings and investments from these subprograms have the potential of creating a total of 228,000 jobs and about $3.1 billion in earned income (2003$) by the year 2030.

Scott, Michael J.; Anderson, David M.; Belzer, David B.; Cort, Katherine A.; Dirks, James A.; Elliott, Douglas B.; Hostick, Donna J.

2004-08-31T23:59:59.000Z

13

Impact of the FY 2009 Building Technologies Program on United States Employment and Earned Income  

SciTech Connect

The Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) is interested in assessing the potential economic impacts of its portfolio of subprograms on national employment and income. A special purpose input-output model called ImSET is used in this study of 14 Building Technologies Program subprograms in the EERE final FY 2009 budget request to the Office of Management and Budget in February 2008. Energy savings, investments, and impacts on U.S. national employment and earned income are reported by subprogram for selected years to the year 2025. Energy savings and investments from these subprograms have the potential of creating a total of 258,000 jobs and about $3.7 billion in earned income (2007$) by the year 2025.

Livingston, Olga V.; Scott, Michael J.; Hostick, Donna J.; Dirks, James A.; Cort, Katherine A.

2008-06-17T23:59:59.000Z

14

Impact of the FY 2005 Building Technologies Program on United States Employment and Earned Income  

SciTech Connect

The Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) is interested in assessing the potential economic impacts of its portfolio of subprograms on national employment and income. A special purpose version of the IMPLAN input-output model called ImBuild II is used in this study of all 21 Building Technologies Program subprograms in the EERE final FY 2005 budget request to the Office of Management and Budget on February 2, 2004. Energy savings, investments, and impacts on U.S. national employment and earned income are reported by subprogram for selected years to the year 2030. Energy savings and investments from these subprograms have the potential of creating a total of 396,000 jobs and about $5.6 billion in earned income (2003$) by the year 2030.

Scott, Michael J.; Anderson, Dave M.; Belzer, David B.; Cort, Katherine A.; Dirks, James A.; Elliott, Douglas B.; Hostick, Donna J.

2004-08-31T23:59:59.000Z

15

Economic Impacts of Marcellus Shale in Pennsylvania: Employment and Income in 2009 2011 Penn State Extension and Penn College www.msetc.org 1  

E-Print Network (OSTI)

Economic Impacts of Marcellus Shale in Pennsylvania: Employment and Income in 2009 ©2011 Penn State Extension and Penn College www.msetc.org 1 Economic Impacts of Marcellus Shale in Pennsylvania: Employment and Income in 2009 August 2011 www.msetc.org The Marcellus Shale Education & Training Center (MSETC

Boyer, Elizabeth W.

16

Delivering Energy Efficiency to Middle Income Single Family Households  

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

AHPwES - Assisted Home Performance with ENERGY STAR AMI - Area Median Income APS - Arizona Public Service ARRA - American Reinvestment and Recovery Act ASEC - Annual Social and...

17

Low income energy assistance  

Science Conference Proceedings (OSTI)

States are limited in their ability to manage their heating assistance programs because they normally receive funds from the Low Income Home Energy Assistance Program after the heating season has begun and after they have decided on the benefits to be provided to eligible participants. In addition, the Department of Health and Human Services does not have enough flexibility to respond to unanticipated energy cost increases that can occur as a result of unusually severe weather or fuel price increases. HHS and the states could better manage the program if (1) it were forward funded so the states would know exactly how much federal assistance they would receive before they begin handling applications for heating assistance and (2) HHS had some discretion in how funds are allocated to the states to enable it to react to unanticipated energy-related circumstances.

Not Available

1990-10-01T23:59:59.000Z

18

On the Median Volume Diameter Approximation for Droplet Collision Efficiency  

Science Conference Proceedings (OSTI)

In this note, we examine a shortcut for calculating the overall collision efficiency of a droplet spectrum, known as the “median volume diameter” (mvd) approximation. By calculating the overall collision efficiency of a circular cylinder for a ...

Karen J. Finstad; Edward P. Lozowski; Lasse Makkonen

1988-12-01T23:59:59.000Z

19

2003 CBECS National Median Source Energy Use and Performance Comparisons by  

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

2003 CBECS National Median Source Energy Use and Performance 2003 CBECS National Median Source Energy Use and Performance Comparisons by Building Type Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources

20

Alternative Fuels Data Center: Biodiesel Income Tax Credit  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Income Tax Income Tax Credit to someone by E-mail Share Alternative Fuels Data Center: Biodiesel Income Tax Credit on Facebook Tweet about Alternative Fuels Data Center: Biodiesel Income Tax Credit on Twitter Bookmark Alternative Fuels Data Center: Biodiesel Income Tax Credit on Google Bookmark Alternative Fuels Data Center: Biodiesel Income Tax Credit on Delicious Rank Alternative Fuels Data Center: Biodiesel Income Tax Credit on Digg Find More places to share Alternative Fuels Data Center: Biodiesel Income Tax Credit on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Biodiesel Income Tax Credit A taxpayer that delivers pure, unblended biodiesel (B100) into the tank of a vehicle or uses B100 as an on-road fuel in their trade or business may be

Note: This page contains sample records for the topic "median state income" 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

Property:EstimatedCostMedianUSD | Open Energy Information  

Open Energy Info (EERE)

EstimatedCostMedianUSD EstimatedCostMedianUSD Jump to: navigation, search Property Name EstimatedCostMedianUSD Property Type Quantity Description the median estimate of cost in USD Use this type to express a monetary value in US Dollars. The default unit is one US Dollar. http://en.wikipedia.org/wiki/Area Acceptable units (and their conversions) are: 100 cent USD,cents USD,Cent USD,Cents USD .001 k USD,thousand USD,Thousand USD .000001 M USD,million USD,Million USD .000000001 T USD,trillion USD,Trillion USD Pages using the property "EstimatedCostMedianUSD" Showing 25 pages using this property. (previous 25) (next 25) 2 2-M Probe Survey + 30030,000 centUSD 0.3 kUSD 3.0e-4 MUSD 3.0e-7 TUSD + A Acoustic Logs + 4.62462 centUSD 0.00462 kUSD 4.62e-6 MUSD 4.62e-9 TUSD + Aerial Photography + 240.5424,054 centUSD

22

Property:EstimatedTimeMedian | Open Energy Information  

Open Energy Info (EERE)

EstimatedTimeMedian EstimatedTimeMedian Jump to: navigation, search Property Name EstimatedTimeMedian Property Type Quantity Description the median estimate of time required Use this type to enumerate a length of time. The default unit is the year. Acceptable units (and their conversions) are: 8766 hours,hour,h,H,Hour,Hours,HOUR,HOURS 365.25 days,day,d,Day,Days,D,DAY,DAYS 52.17857 weeks,week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Pages using the property "EstimatedTimeMedian" Showing 25 pages using this property. (previous 25) (next 25) 2 2-M Probe Survey + 2.281542e-4 years2 hours 0.0833 days 0.0119 weeks 0.00274 months + A Acoustic Logs + 0.044 years385.92 hours 16.08 days 2.297 weeks 0.528 months +

23

Weighted median filters with sigma-delta modulation encoding  

Science Conference Proceedings (OSTI)

Digital decimation filters play a fundamental role in oversampled sigma-delta A/D decoders. In this paper, we first show that weighted median (WM) filtering of a demodulated sequence (at the Nyquist rate) can be implemented concurrently in the A/D decoder. ...

G.R. Arce; N.A. Grabowski; N.C. Gallagher

2000-02-01T23:59:59.000Z

24

Placement of Traffic Barriers on Roadside and Median Slopes  

E-Print Network (OSTI)

Cross median crashes have become a serious problem in recent years. Most of the median cross sections used for divided highways have terrains with steep slopes. Traffic barriers, frequently used on slopes, are generally designed based on the findings obtained from crash tests performed on flat terrain. For barriers placed on roadside and median slopes, vehicle impact height varies depending on the trajectory of the vehicle along the ditch section and lateral offset of the barrier. Thus depending on the placement location on a relatively steep slope, a barrier can be impacted by an errant vehicle at height and orientation more critical compared to those considered during its design. Hence, detailed study of performance of barriers on roadside and median slopes is needed to achieve acceptable safety performance. In this study, performances of modified G4(1S) W-beam, Midwest Guardrail System (MGS), modified Thrie-beam, modified weak post W-beam, and box-beam guardrail systems on sloped terrains are investigated using numerical simulations. A procedure is developed that provide guidance for their placement on roadside and median slopes. The research approach consists of nonlinear finite element analyses and multi-rigid-body dynamic analyses approach. Detailed finite element representation for each of the barriers is developed using LS-DYNA. Model fidelity is assessed through comparison of simulated and measured responses reported in full scale crash test studies conducted on flat terrain. LS-DYNA simulations of vehicle impacts on barriers placed on flat terrain at different impact heights are performed to identify performance limits of the barriers in terms of acceptable vehicle impact heights. The performances of the barriers are evaluated following the guidelines provided in NCHRP Report 350. Multi-rigid-body dynamic analysis code, CARSIM, is used to identify trajectories of the vehicles traversing various roadside and median cross-slopes. After analyzing vehicle trajectories and barrier performance limits, a guideline has been prepared with recommendations for the placement of barriers along roadside and median slopes. This guideline is then verified and refined using the responses obtained from full-scale LS-DYNA simulations. These simulations capture the full encroachment event from departure of the vehicle off the traveled way through impact with the barrier.

Ferdous, Md Rubiat

2011-05-01T23:59:59.000Z

25

Income Tax Capital Credit (Alabama) | Department of Energy  

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

Income Tax Capital Credit (Alabama) Income Tax Capital Credit (Alabama) Income Tax Capital Credit (Alabama) < Back Eligibility Commercial Construction Industrial Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Alabama Program Type Corporate Tax Incentive The purpose of this law is to create jobs and to stimulate business and economic growth in the state by providing an income tax capital credit for approved projects. The Income Tax Capital Credit is a credit of five percent (5%) of the capital costs of a qualifying project offered by the Alabama Department of Revenue. The credits is applied to the Alabama income tax liability or financial institution excise tax generated by the project income, each year for 20 years. This credit cannot be carried forward or

26

Empire District Electric - Low Income New Homes Program | Department of  

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

Empire District Electric - Low Income New Homes Program Empire District Electric - Low Income New Homes Program Empire District Electric - Low Income New Homes Program < Back Eligibility Construction Low-Income Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Heat Pumps Appliances & Electronics Commercial Lighting Lighting Maximum Rebate Total: $1,100 Program Info State Missouri Program Type Utility Rebate Program Rebate Amount Insulation: full incremental cost above the appropriate baseline Heat Pumps: $400 Central AC: $400 Refrigerator: $200 Lighting: $100 Provider Empire District Electric Empire District Electric offers rebates for the utilization of energy efficient measures and appliances in new, low-income homes. Rebates are

27

Smoking, Drinking, and Income  

E-Print Network (OSTI)

A growing literature identifies a beneficial effect of moderate and even heavy drinking on wages and a negative effect of smoking on wages. An outstanding issue is whether these results obtain because of a causal effect of substance use on wages or whether the observed correlations reflect the effects of income on consumption or other endogeneity problems. This paper presents full information estimates of the structural parameters of a simultaneous model of drinking and smoking status and income using repeated cross--section data. With all else in the system held constant, both smoking and drinking behaviour still have large effects on income, and the income elasticities of smoking and drinking are shown to be larger in magnitude when controlling for endogeneity. JEL Classification: I12 Keywords: alcohol, tobacco, simultaneous equations, maximum simulated likelihood, multinomial probit, limited dependent variables 1 I thank Cam Donaldson, Herb Emery, David Feeny, Chris Ferrall, Jon ...

Mingshan Lu; James Mackinnon; Ken Mckenzie; Harry Paarsche; Seminar Participants; M. Christopher Auld; M. Christopher Auld

1999-01-01T23:59:59.000Z

28

Entrepreneurship and income inequality in southern Ethiopia  

Science Conference Proceedings (OSTI)

Apr 7, 2009 ... source of cash income for the local population. In ... followed over the years, enforced by tradition, by the socialist administration that was in power until .... index following a uniform percentage change in yk is .... hand, require access to markets and changes in the ..... tion of earnings in the United States.

29

Minnesota Energy Resources (Gas) - Low-Income New Construction Rebates |  

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

Minnesota Energy Resources (Gas) - Low-Income New Construction Minnesota Energy Resources (Gas) - Low-Income New Construction Rebates Minnesota Energy Resources (Gas) - Low-Income New Construction Rebates < Back Eligibility Low-Income Residential Nonprofit Savings Category Heating & Cooling Commercial Heating & Cooling Heating Heat Pumps Appliances & Electronics Water Heating Program Info State Minnesota Program Type Utility Rebate Program Rebate Amount Gas Furnace: 500 Integrated Space and Water Heating System: 900 Electronic Programmable Set-Back Thermostat: 100 Water Heater: 100 Drain Water Heat Recovery Device: 300 Provider Minnesota Energy Resources Minnesota Energy Resources is now offering rebates for non-profits servicing low-income communities. New construction organizations can take advantage of rebates for efficient technologies if the low-income homes are

30

Residential Renewable Energy Income Tax Credit | Department of Energy  

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

Renewable Energy Income Tax Credit Renewable Energy Income Tax Credit Residential Renewable Energy Income Tax Credit < Back Eligibility Residential Savings Category Solar Buying & Making Electricity Heating & Cooling Commercial Heating & Cooling Heating Water Heating Wind Maximum Rebate 1,000 Program Info Start Date 1979 State Massachusetts Program Type Personal Tax Credit Rebate Amount 15% Provider Massachusetts Department of Revenue Massachusetts allows a 15% credit -- up to $1,000 -- against the state income tax for the net expenditure* of a renewable-energy system (including installation costs) installed on an individual's primary residence. If the credit amount is greater than a resident's income tax liability, the excess credit amount may be carried forward to the next succeeding year for

31

Income and Health Spending: Evidence from Oil Price Shocks  

E-Print Network (OSTI)

Health expenditures as a share of GDP in the United States have more than tripled over the past half-century. A common conjecture is that this is a consequence of rising income. We investigate this hypothesis by instrumenting ...

Acemoglu, Daron

32

Earned Income Credit  

E-Print Network (OSTI)

This management advisory report presents the results of our review of the effectiveness of the Internal Revenue Service’s (IRS) administration of the Earned Income Credit (EIC). 1 The objective of this review was to evaluate the history of the EIC, difficulties the IRS has faced involving the EIC in the past, and the problems the IRS faces in the future. This is the first in a series of audits on the EIC. Currently, the Treasury Inspector General for Tax Administration has the following five audits in process involving the EIC: • The EIC Recertification Process. • Duplicate Dependent Claims. • Revenue Protection Strategy on Improving Taxpayer Compliance. • Educating and Assisting Taxpayers on the EIC.

Review Process; Pamela J. Gardiner

2000-01-01T23:59:59.000Z

33

Vehicle Technologies Office: Fact #597: November 16, 2009 Median Age of  

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

7: November 16, 7: November 16, 2009 Median Age of Cars and Trucks Rising in 2008 to someone by E-mail Share Vehicle Technologies Office: Fact #597: November 16, 2009 Median Age of Cars and Trucks Rising in 2008 on Facebook Tweet about Vehicle Technologies Office: Fact #597: November 16, 2009 Median Age of Cars and Trucks Rising in 2008 on Twitter Bookmark Vehicle Technologies Office: Fact #597: November 16, 2009 Median Age of Cars and Trucks Rising in 2008 on Google Bookmark Vehicle Technologies Office: Fact #597: November 16, 2009 Median Age of Cars and Trucks Rising in 2008 on Delicious Rank Vehicle Technologies Office: Fact #597: November 16, 2009 Median Age of Cars and Trucks Rising in 2008 on Digg Find More places to share Vehicle Technologies Office: Fact #597: November 16, 2009 Median Age of Cars and Trucks Rising in 2008 on

34

Table B2. Summary Table: Totals and Medians of Floorspace, Number of Workers,  

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

. Summary Table: Totals and Medians of Floorspace, Number of Workers, Hours of Operation, and Age of Building, 1999" . Summary Table: Totals and Medians of Floorspace, Number of Workers, Hours of Operation, and Age of Building, 1999" ,"All Buildings (thousand)","Total Floorspace (million square feet)","Total Workers in All Buildings (thousand)","Median Square Feet per Building (thousand)","Median Square Feet per Worker","Median Hours per Week","Median Age of Buildings (years)" "All Buildings ................",4657,67338,81852,5,909,50,30.5 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",2348,6774,11125,2.5,667,50,30.5 "5,001 to 10,000 ..............",1110,8238,10968,7,1000,50,34.5 "10,001 to 25,000 .............",708,11153,11378,15,1354,55,28.5

35

Income Tax Credits Program (Arkansas) | Department of Energy  

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

Income Tax Credits Program (Arkansas) Income Tax Credits Program (Arkansas) Income Tax Credits Program (Arkansas) < Back Eligibility Agricultural Commercial Construction Developer Fuel Distributor Industrial Installer/Contractor Institutional Investor-Owned Utility Rural Electric Cooperative Systems Integrator Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Arkansas Program Type Personal Tax Incentives Corporate Tax Incentive Rebate Program Provider Department of Economic Develoment There are multiple tax credit programs for businesses new to Arkansas. Additionally, there are investment tax credit programs, job creation incentives, discretionary incentives, and targeted business incentives,

36

Cost-effectiveness of freeway median high occupancy vehicle (HOV) facility conversion to rail guideway transit  

E-Print Network (OSTI)

Many freeways in the United States contain median high occupancy vehicle (HOV) facilities. These facilities have been envisioned by some as reserved space for future rail guideway transit. This thesis examines the cost-effectiveness of converting a freeway median HOV lane into a guideway transit line. A full-cost model was developed to determine the cost effectiveness of converting an HOV lane into a rail transit line. The measure of cost-effectiveness used was the benefit-to-cost ratio. The full-cost model contained two cost categories (capital and operating costs) and two benefit categories (travel time and externality benefits). This fullcost model was adopted to conditions on the Katy Freeway in Houston Texas which served as a case study for this thesis. It was found that 29 percent of the person-miles of travel on the Katy Freeway under given conditions must utilize guideway transit for conversion to be cost-effective. It was also found that the model is sensitive to assumptions of the value of time, project soft costs (administrative, planning, and design costs) and the operating cost of the rail transit system. The model is also sensitive to assumptions regarding latent demand. It was concluded that conversion to rail guideway transit in the case study example is not cost-effective. It was reconunended that further investigation be taken into full-cost model components to allow more certain estimates of cost components. Also recommended was further consideration of the effects of latent demand on HOV to rail guideway transit conversions.

Best, Matthew Evans

1996-01-01T23:59:59.000Z

37

EmPOWER Maryland Low Income Energy Efficiency Program (Maryland) |  

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

EmPOWER Maryland Low Income Energy Efficiency Program (Maryland) EmPOWER Maryland Low Income Energy Efficiency Program (Maryland) EmPOWER Maryland Low Income Energy Efficiency Program (Maryland) < Back Eligibility Low-Income Residential Savings Category Home Weatherization Commercial Weatherization Other Heating & Cooling Commercial Heating & Cooling Heating Appliances & Electronics Commercial Lighting Lighting Water Heating Program Info Funding Source EmPOWER Maryland State Maryland Program Type State Rebate Program Rebate Amount Direct installation, no cost to the recipient Provider Maryland Department of Housing and Community Development Note: The eligible technologies listed above are only examples of some improvements that might be supported under this program as detailed on the program web site. Not all potentially eligible improvements will be

38

A GRASP with path-relinking for the p-median problem ?  

E-Print Network (OSTI)

Sep 18, 2002 ... Given n customers and a set F of m potential facilities, the p-median ..... The pool must support two essential operations: addition of new ...

39

California Solar Initiative - Low-Income Solar Water Heating Rebate Program  

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

You are here You are here Home » California Solar Initiative - Low-Income Solar Water Heating Rebate Program California Solar Initiative - Low-Income Solar Water Heating Rebate Program < Back Eligibility Low-Income Residential Multi-Family Residential Savings Category Heating & Cooling Solar Water Heating Maximum Rebate Single-Family Low-Income: $3,750 Multi-Family Low-Income: $500,000 Program Info Funding Source Ratepayer Funds Start Date 3/29/2012 State California Program Type State Rebate Program Rebate Amount Step 1 Incentive Rates (contact utility to determine current incentive levels): Single-Family Low-Income: $25.64 per therm displaced Multi-Family Low-Income: $19.23 per therm displaced The California Public Utilities Commission (CPUC) voted in October 2011 to

40

Weatherization Assistance for Low-Income Persons: Maintaining the Privacy  

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

Weatherization Assistance for Low-Income Persons: Maintaining the Weatherization Assistance for Low-Income Persons: Maintaining the Privacy of Applicants for and Recipients of Services Weatherization Assistance for Low-Income Persons: Maintaining the Privacy of Applicants for and Recipients of Services Amending regulations to require all States and other service providers that participate in the Weatherization Assistance Program (WAP) to treat all requests for information concerning applicants and recipients of WAP funds in a manner consistent with the Federal government's treatment of information requested under the Freedom of Information Act (FOIA), 5 U.S.C. 552, including the privacy protections contained in Exemption (b)(6) of the FOIA, 5 U.S.C. 552(b)(6). Weatherization Assistance for Low-Income Persons: Maintaining the Privacy

Note: This page contains sample records for the topic "median state income" 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

Xcel Energy - Residential and Low Income Home Energy Service | Department  

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

Xcel Energy - Residential and Low Income Home Energy Service Xcel Energy - Residential and Low Income Home Energy Service Xcel Energy - Residential and Low Income Home Energy Service < Back Eligibility Installer/Contractor Low-Income Residential Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Other Sealing Your Home Ventilation Heat Pumps Appliances & Electronics Commercial Lighting Lighting Water Heating Windows, Doors, & Skylights Program Info Start Date 1/1/2011 Expiration Date 12/31/2012 State New Mexico Program Type Utility Rebate Program Rebate Amount Evaporative Cooling: $200-$1000/unit Saver's Switch A/C Cycling: $20/ton of enrolled air conditioning Refrigerator Recycling: $75 CFLs: $1/bulb LED's: $10/bulb

42

Income distribution impacts of climate change mitigation policy in the Susquehanna River Basin Economy  

SciTech Connect

We examine the cost-side income distribution impacts of a carbon tax in the Susquehanna River Basin (SRB) Region of the United States utilizing a computable general equilibrium model. We find the aggregate impacts of a $25/ton carbon tax on the SRB economy are likely to be negative but modest-an approximately one-third of 1% reduction in Gross Regional Product (GRP) in the short-run and double that amount in the long-run. However, unlike many previous studies, we find that the carbon tax is mildly progressive as measured by income bracket changes, per capita equivalent variation, and Gini coefficient changes based on expenditure patterns. The dominant factors affecting the distributional impacts are the pattern of output, income and consumption impacts that affect lower income groups relatively less than higher income ones, an increase in transfer payments favoring lower income groups, and decreased corporate profits absorbed primarily by higher income groups.

Oladosu, Gbadebo A [ORNL

2007-01-01T23:59:59.000Z

43

Income Statement -- A Financial Management Tool  

E-Print Network (OSTI)

An income statement measures the success of a business in terms of net income or loss for a period of time. An income statement of a farm business includes items in seven major categories. This publication describes each of these categories and gives a sample income statement.

Klinefelter, Danny A.

2008-09-16T23:59:59.000Z

44

Buildings Energy Data Book: 2.9 Low-Income Housing  

Buildings Energy Data Book (EERE)

Program Definitions DOE Weatherization: Department of Energy's Weatherization Assistance Program DOE Weatherization Eligible Households: Households with incomes at or below 125% of the Federal poverty level, which varies by family size; however, a State may instead elect to use the LIHEAP income standard if its State LIHEAP income standard is at least 125% of the Federal poverty level. Data listed in this chapter include previously weatherized units. DOE Weatherization Eligible Households are a subset of Federally Eligible Households. DOE Weatherization Recipient Households: Households that have received weatherization under DOE Weatherization funding. Federally Eligible Households: Households with incomes below the Federal maximum standard of 150% to 200% of the poverty

45

Low income home energy assistance  

Science Conference Proceedings (OSTI)

The Low Income Home Energy Assistance Program provides eligible households with assistance for home energy costs. Assistance is available to (1) help families pay heating and cooling costs, (2) prevent energy cutoff in crisis situations, and (3) help families make their homes more energy efficient. This report provides background information on the program in preparation for the program's reauthorization in 1990.

Not Available

1990-10-01T23:59:59.000Z

46

Low-income communities : technological strategies for nurturing community, empowerment and self-sufficiency at a low-income housing development  

E-Print Network (OSTI)

There are a number of historically familiar and unfamiliar forces at work in low-income communities in the United States. Recurrent forces include rapidly changing economic and demographic trends, Welfare Reform, and the ...

O'Bryant, Richard Louis, 1964-

2004-01-01T23:59:59.000Z

47

Vickers microindentation toughness of a sintered SiC in the median-crack regime  

SciTech Connect

The Vickers microindentation method for the determination of the fracture toughness of ceramics was investigated in the median crack regime for a sintered alpha SiC. The results are compared with fracture toughness measurements by conventional fracture mechanics technique and also with the reported indentation toughness for the low-load Palmqvist crack regime. Indentation toughnesses in the median crack regime vary widely depending on the choice of the specific equation which is applied. The indentation toughnesses are also load (crack length) dependent. A decreasing R-curve trend results, in contradiction to the flat R-curve that has been observed with conventional fracture mechanics techniques. It is concluded that the Vickers microindentation method is not a reliable technique for the determination of the fracture toughness of ceramics in the median crack regime.

Ghosh, Asish; Kobayashi, A.S. (Washington Univ., Seattle, WA (United States). Coll. of Engineering); Li, Zhuang (Argonne National Lab., IL (United States)); Henager, C.H. Jr. (Pacific Northwest Lab., Richland, WA (United States)); Bradt, R.C. (Nevada Univ., Reno, NV (United States). Mackay School of Mines)

1991-01-01T23:59:59.000Z

48

City of Tallahassee Utilities - Low-Income Energy Efficiency Grant Programs  

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

Tallahassee Utilities - Low-Income Energy Efficiency Grant Tallahassee Utilities - Low-Income Energy Efficiency Grant Programs City of Tallahassee Utilities - Low-Income Energy Efficiency Grant Programs < Back Eligibility Low-Income Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Program Info State Florida Program Type Utility Grant Program Rebate Amount Ceiling Insulation Grant: $500 HVAC Repair: $500 Provider City of Tallahassee Utilities City of Tallahassee Utilities offers two different grants that encourage low-income residents to improve the energy efficiency of homes. Both programs require a free home energy audit to be conducted in order to determine the eligibility of the applicant. Applicants must also fit within the qualifying income levels detailed on the web site.

49

China's Income Distribution, 1985-2001  

E-Print Network (OSTI)

China’s Income Distribution, 1985-2001 Ximing Wu* andBureau of Statistics of China, for explaining many featuresa new method to estimate China’s income distributions using

Wu, Ximing; Perloff, Jeffrey M.

2005-01-01T23:59:59.000Z

50

Top Incomes in Indonesia, 1920-2004 *  

E-Print Network (OSTI)

Using taxation and household survey data, this paper estimates top income shares for Indonesia during 1920-2004. Our results suggest that top income shares grew during the 1920s and 1930s, but fell in the post-war era. In more recent decades, we observe a sharp rise in top income shares during the late-1990s, coincident with the economic downturn, and some evidence that top income shares fell in the early-2000s. For prewar Indonesia, we decompose top income shares by income source, and find that for groups below the top 0.5 percent, a majority of income was derived from wages. Throughout the twentieth century, top income shares in Indonesia have been higher than in India, broadly comparable to Japan, and somewhat lower than levels prevailing in the

Andrew Leigh; Pierre Van Der Eng

2006-01-01T23:59:59.000Z

51

Performance Analysis of DS Signal Code Acquisition Using the Matched Filter and the Median Filter  

Science Conference Proceedings (OSTI)

The theoretical analysis and simulation of the performance of a matched filter code acquisition structure with a median filter as the aiding device to cancel CW jamming in the AWGN channel is described. Both coherent and noncoherent structures are ... Keywords: interference cancellation, synchronization

J. Iinatti; P. Leppänen

1998-09-01T23:59:59.000Z

52

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

53

State  

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

Biodiesel Producers and Production Capacity by State, September 2013 Biodiesel Producers and Production Capacity by State, September 2013 State Number of Producers Annual Production Capacity (million gallons per year) Alabama 3 47 Alaska - - Arizona 1 2 Arkansas 3 85 California

54

state  

Science Conference Proceedings (OSTI)

NIST. state. (definition). Definition: The condition of a finite state machine or Turing machine at a certain time. Informally, the content of memory. ...

2013-11-08T23:59:59.000Z

55

Recovery Act State Memos Delaware  

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

weatherization efforts in the state, creating jobs, reducing carbon emissions, and saving money for Delaware's low-income families. Over the course of the Recovery Act,...

56

Digital pipelined hardware median filter design for real-time image processing  

Science Conference Proceedings (OSTI)

A hardware median filter is described which is designed to filter imagery at a rate of 10*10/sup 6/ pixels/second. The data is windowed with line buffers, and propagated through n pipelined stages where n is the number of bits in a pixel. The algorithm described is a form of the Radix method of Ataman modified to reduce the decisionmaking at each stage. The filter can be implemented with available logic components and would be useful as a preprocessor in a pattern recognition system. 6 references.

Delman, D.J.

1981-01-01T23:59:59.000Z

57

State  

Science Conference Proceedings (OSTI)

State NIST. Weights and Measures. Laboratories. Program Handbook. NIST Handbook 143. March 2003. Preface. The National ...

2010-11-30T23:59:59.000Z

58

Buildings Energy Data Book: 2.9 Low-Income Housing  

Buildings Energy Data Book (EERE)

2 2 Energy Burden Definitions Energy burden is an important statistic for policy makers who are considering the need for energy assistance. Energy burden can be defined broadly as the burden placed on household incomes by the cost of energy, or more simply, the ratio of energy expenditures to household income. However, there are different ways to compute energy burden, and different interpretations and uses of the energy burden statistics. DOE Weatherization primarily uses mean individual burden and mean group burden since these statistics provide data on how an "average" individual household fares against an "average" group of households (that is, how burdens are distributed for the population). DOE Weatherization (and HHS) also uses the median individual burden which shows

59

Indoor environment quality and energy retrofits in low-income...  

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

Indoor environment quality and energy retrofits in low-income apartments: retrofit selection protocol Title Indoor environment quality and energy retrofits in low-income...

60

Revisiting the Income Effect: Gasoline Prices and Grocery Purchases  

E-Print Network (OSTI)

or Rent Gasoline and Motor Oil Income after taxes Number ofor Rent Gasoline and Motor Oil Income after taxes Number of

Gicheva, Dora; Hastings, Justine; Villas-Boas, Sofia B

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "median state income" 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

Integrating Photovoltaic Systems into Low-Income Housing Developments...  

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

Residential Financing Model and Low-Income Resident Job Training Program SEPTEMBER 2011 SOLAR ENERGY TECHNOLOGIES PROGRAM II Integrating PV Systems into Low-Income Housing...

62

Low-income energy policy in a restructuring electricity industry: an assessment of federal options  

SciTech Connect

This report identifies both the low-income energy services historically provided in the electricity industry and those services that may be affected by industry restructuring. It identifies policies that are being proposed or could be developed to address low- income electricity services in a restructured industry. It discusses potential federal policy options and identifies key policy and implementation issues that arise when considering these potential federal initiatives. To understand recent policy development at the state level, we reviewed restructuring proposals from eight states and the accompanying testimony and comments filed in restructuring proceedings in these states.

Baxter, L.W.

1997-07-01T23:59:59.000Z

63

Solar upgrading of low income housing  

SciTech Connect

The design, installation, training and operation experience of retrofitting solar devices (active and passive water heaters, Trombe walls, convective loop window units, etc.) on hundreds of low-income houses along the Southwest Border Region are summarized. The project demonstrates a wide variety of appropriate low-cost solar applications and provides prototypical models for the region's low-income inhabitants. Space heating and cooling systems and water heating systems have been combined with weatherization and conservation techniques. CETA employees, members of various community groups and youth groups, and employees of local non-profit organizations have been trained as installers, and low-income people have been educated in the operation and use of these solar devices. It is anticipated that this transfer of appropriate technology into the region will result in continued retrofitting of solar installations and in the stimulation of local industries, which will create employment opportunities for members of the low-income population.

Lumsdaine, E.; Farrer, R.; Callahan, D.

1980-01-01T23:59:59.000Z

64

Energy Department Provides $140.3 Million to Low-Income Families for Home  

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

140.3 Million to Low-Income Families 140.3 Million to Low-Income Families for Home Weatherization Energy Department Provides $140.3 Million to Low-Income Families for Home Weatherization April 3, 2006 - 9:55am Addthis Funding is first installment of $243 million in total weatherization grants for FY 2006 WASHINGTON, D.C. - U.S. Department of Energy (DOE) Secretary Samuel W. Bodman today announced $140.3 million in weatherization program grants to 31 states and the Navajo Nation to make energy efficiency improvements in homes of low-income families; weatherization can reduce an average home's energy costs by $358 annually. Total Fiscal Year 2006 funding is $243 million and will provide weatherization to approximately 96,560 homes. "Weatherizing your home is a valuable way to save energy and money,"

65

Department of Energy Provides Nearly $88 Million to Low-Income Families for  

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

88 Million to Low-Income 88 Million to Low-Income Families for Home Weatherization Department of Energy Provides Nearly $88 Million to Low-Income Families for Home Weatherization June 29, 2007 - 2:36pm Addthis Funding is Second Installment of $200 Million in Total Weatherization Grants for FY 2007 WASHINGTON, DC - U.S. Department of Energy (DOE) today announced $88 million in weatherization grants to 20 states to make energy efficiency improvements in homes of low-income families. Weatherization can reduce an average home's energy costs by $358 annually, and this year, DOE expects funding to weatherize approximately 70,000 homes nationwide. For every dollar spent, weatherization returns $1.53 in energy savings over the life of the measures. DOE's weatherization program performs energy

66

DOE Provides $96.4 Million to Low-Income Families for Home Weatherization |  

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

96.4 Million to Low-Income Families for Home 96.4 Million to Low-Income Families for Home Weatherization DOE Provides $96.4 Million to Low-Income Families for Home Weatherization July 6, 2006 - 2:50pm Addthis Funding is Second Installment of $243 Million in Total Weatherization Grants for FY 2006 WASHINGTON, D.C. - U.S. Department of Energy (DOE) Secretary Samuel W. Bodman today announced $96.4 million in weatherization program grants to 19 states to make energy efficiency improvements in homes of low-income families. Weatherization can reduce an average home's energy costs by $358 annually. Total Fiscal Year 2006 funding is $243 million and will provide weatherization to approximately 96,560 homes. "Weatherizing your home is a valuable way to save energy and money," Secretary Bodman said. "The Department of Energy's weatherization program

67

Department of Energy Provides Nearly $112 Million to Low-Income Families  

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

112 Million to Low-Income 112 Million to Low-Income Families for Home Weatherization Department of Energy Provides Nearly $112 Million to Low-Income Families for Home Weatherization March 29, 2007 - 12:17pm Addthis Funding is First Installment of $204.5 Million in Total Weatherization Grants for FY 2007 WASHINGTON, DC - U.S. Department of Energy (DOE) today announced $111.6 million in weatherization grants to 30 states and the Navajo Nation to make energy efficiency improvements in homes of low-income families. Weatherization can reduce an average home's energy costs by $358 annually. Total Fiscal Year 2007 funding is $204.5 million and will provide weatherization to approximately 70,000 homes. "Weatherization is a valuable way to help save money and energy," DOE Assistant Secretary for Energy Efficiency and Renewable Energy Alexander

68

Department of Energy Provides Nearly $88 Million to Low-Income Families for  

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

Provides Nearly $88 Million to Low-Income Provides Nearly $88 Million to Low-Income Families for Home Weatherization Department of Energy Provides Nearly $88 Million to Low-Income Families for Home Weatherization June 29, 2007 - 2:36pm Addthis Funding is Second Installment of $200 Million in Total Weatherization Grants for FY 2007 WASHINGTON, DC - U.S. Department of Energy (DOE) today announced $88 million in weatherization grants to 20 states to make energy efficiency improvements in homes of low-income families. Weatherization can reduce an average home's energy costs by $358 annually, and this year, DOE expects funding to weatherize approximately 70,000 homes nationwide. For every dollar spent, weatherization returns $1.53 in energy savings over the life of the measures. DOE's weatherization program performs energy

69

Evaluation of DOE's Partnership in Low-Income Residential Retrofit (PILIRR) Program  

Science Conference Proceedings (OSTI)

In July 1986, the US Department of Energy (DOE) awarded competitive grants to five states to conduct pilot projects to establish partnerships and use resource leveraging to stimulate support for low-income residential energy retrofits. The projects were conducted under DOE's Partnerships in Low-Income Residential Retrofit (PILIRR) Program. These projects have been monitored and analyzed through a concurrent process evaluation conducted by the Pacific Northwest Laboratory (PNL). This study reports the findings of that evaluation. The overriding goal of the PILIRR Program was to determine whether the states could stimulate support for low-income residential energy improvements from non-federal sources. The goal for the process evaluation was to conduct an assessment of the processes used by the states and the extent to which they successfully established partnerships and leveraged resources. Five states were selected to participate in the program: Florida, Iowa, Kentucky, Oklahoma and Washington. Each state proposed a different approach to promote non-federal support for low-income residential weatherization. Three of the five states--Florida, Iowa, and Washington--established partnerships that led to retrofits during the monitoring period (October 1986--October 1988). Kentucky established its partnership during the monitoring period, but did not accomplish its retrofits until after monitoring was complete. Oklahoma completed development of its marketing program and had begun marketing efforts by the end of the monitoring period. 16 refs., 7 figs., 1 tab.

Callaway, J.W.; Lee, A.D.

1989-05-01T23:59:59.000Z

70

Recovery Act State Memos West Virginia  

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

Assistance Program works with existing community action associations around the state to target low-income communities that have benefited from weatherization programs before, as...

71

Page 1 of 8 FLORIDA STATE UNIVERSITY  

E-Print Network (OSTI)

among Federal agencies for the audits of State, local Governments, and non-profit organizationsPage 1 of 8 FLORIDA STATE UNIVERSITY PROGRAM INCOME POLICY Effective: May 15, 2006 Policy period. Florida State University is required to identify and document program income related to projects

Weston, Ken

72

Financial Incentives for Increasing Work and Income Among Low-Income Families  

E-Print Network (OSTI)

v j-i_ruCM Earnings + AFDC Earnings + Supplement 1 [ t 1—(—6a: Annual Income Under AFDC and CAP Single Parent With Two+ Food Stamps I Earnings + AFDC + Food Stamps $o I I I i I I

Blank, Rebecca M.; Card, David; Robins, Philip K.

1999-01-01T23:59:59.000Z

73

Evaluating the income and employment impacts of gas cooling technologies  

SciTech Connect

The purpose of this study is to estimate the potential employment and income benefits of the emerging market for gas cooling products. The emphasis here is on exports because that is the major opportunity for the U.S. heating, ventilating, and air-conditioning (HVAC) industry. But domestic markets are also important and considered here because without a significant domestic market, it is unlikely that the plant investments, jobs, and income associated with gas cooling exports would be retained within the United States. The prospects for significant gas cooling exports appear promising for a variety of reasons. There is an expanding need for cooling in the developing world, natural gas is widely available, electric infrastructures are over-stressed in many areas, and the cost of building new gas infrastructure is modest compared to the cost of new electric infrastructure. Global gas cooling competition is currently limited, with Japanese and U.S. companies, and their foreign business partners, the only product sources. U.S. manufacturers of HVAC products are well positioned to compete globally, and are already one of the faster growing goods-exporting sectors of the U.S. economy. Net HVAC exports grew by over 800 percent from 1987 to 1992 and currently exceed $2.6 billion annually (ARI 1994). Net gas cooling job and income creation are estimated using an economic input-output model to compare a reference case to a gas cooling scenario. The reference case reflects current policies, practices, and trends with respect to conventional electric cooling technologies. The gas cooling scenario examines the impact of accelerated use of natural gas cooling technologies here and abroad.

Hughes, P.J. [Oak Ridge National Lab., TN (United States); Laitner, S.

1995-03-01T23:59:59.000Z

74

Three essays on the impacts of income taxes  

E-Print Network (OSTI)

This dissertation consists of three essays studying the impacts of income and wage taxes. Chapter One examines how income tax changes differentially affect the pre-tax wages of different industries based on the injury and ...

Powell, David Matthew, Ph. D. Massachusetts Institute of Technology

2009-01-01T23:59:59.000Z

75

Survey of Income and Program Participation (SIPP) | Data.gov  

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

Tags Employment, labor force, Demographics, Income, Program Participation, AFDC, Food Stamps, SSI, Energy Assistance, Welfare, General Assistance, School Meals, Health...

76

Income Tax Deduction for Energy-Efficient Products | Department of Energy  

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

Income Tax Deduction for Energy-Efficient Products Income Tax Deduction for Energy-Efficient Products Income Tax Deduction for Energy-Efficient Products < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Appliances & Electronics Heat Pumps Commercial Lighting Lighting Water Heating Maximum Rebate Not to exceed $500 Program Info Start Date 3/23/2007 Expiration Date 07/01/2017 State Virginia Program Type Personal Deduction Rebate Amount 20% of the sales tax paid by an individual Provider Virginia Department of Taxation This incentive is available for dishwashers, clothes washers, air conditioners, ceiling fans, compact fluorescent light bulbs, dehumidifiers, programmable thermostats or refrigerators that meet or exceed federal Energy Star standards. Purchases of fuel cells that generate electricity

77

Agricultural Biomass Income Tax Credit (Personal) | Department of Energy  

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

Personal) Personal) Agricultural Biomass Income Tax Credit (Personal) < Back Eligibility Agricultural Savings Category Bioenergy Maximum Rebate Statewide annual limit of 5 million in total credits Program Info Start Date 1/1/2011 State New Mexico Program Type Personal Tax Credit Rebate Amount 5 per wet ton Provider New Mexico Energy, Minerals and Natural Resources Department [http://www.nmlegis.gov/Sessions/10%20Regular/final/HB0171.pdf House Bill 171] of 2010 created a tax credit for agricultural biomass from a dairy or feedlot transported to a facility that uses agricultural biomass to generate electricity or make biocrude or other liquid or gaseous fuel for commercial use. For the purposes of this tax credit, agricultural biomass means wet manure. The Energy, Minerals and Natural Resources Department may

78

Agricultural Biomass Income Tax Credit (Corporate) | Department of Energy  

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

Corporate) Corporate) Agricultural Biomass Income Tax Credit (Corporate) < Back Eligibility Agricultural Savings Category Bioenergy Maximum Rebate Statewide annual limit of 5 million in total credits Program Info Start Date 1/1/2011 State New Mexico Program Type Corporate Tax Credit Rebate Amount 5 per wet ton Provider New Mexico Energy, Minerals and Natural Resources Department [http://www.nmlegis.gov/Sessions/10%20Regular/final/HB0171.pdf House Bill 171] of 2010 created a tax credit for agricultural biomass from a dairy or feedlot transported to a facility that uses agricultural biomass to generate electricity or make biocrude or other liquid or gaseous fuel for commercial use. For the purposes of this tax credit, agricultural biomass means wet manure. The Energy, Minerals and Natural Resources Department may

79

Approaches to Electric Utility Energy Efficiency for Low Income...  

Open Energy Info (EERE)

to Electric Utility Energy Efficiency for Low Income Customers in a Changing Regulatory Environment Jump to: navigation, search Name Approaches to Electric Utility Energy...

80

Income Tax Deduction for Energy Efficiency Upgrades (Idaho) ...  

Open Energy Info (EERE)

Facebook icon Twitter icon Income Tax Deduction for Energy Efficiency Upgrades (Idaho) This is the approved revision of this page, as well as being the most recent. Jump...

Note: This page contains sample records for the topic "median state income" 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

Understanding the world wool market : trade, productivity and grower incomes.  

E-Print Network (OSTI)

??[Truncated abstract] The core objective of this thesis is summarised by its title: “Understanding the World Wool Market: Trade, Productivity and Grower Incomes”. Thus, we… (more)

Verikios, George

2007-01-01T23:59:59.000Z

82

California Solar Initiative - Low-Income Solar Water Heating...  

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

Public Utilities Commission (CPUC) voted in October 2011 to create the California Solar Initiative (CSI) Thermal Low-Income program for single and multifamily residential...

83

Measurement and Verification of Low Income Energy Efficiency...  

Open Energy Info (EERE)

and Verification of Low Income Energy Efficiency Programs in Brazil: Methodological Challenges Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Measurement and...

84

Low-Income Loan Program for Energy Conservation Improvements...  

Open Energy Info (EERE)

energy sources by offering low-interest loans to low- and moderate-income homeowners for repairs to existing homes. All renewable energy technologies are eligible. The...

85

Income Tax Deduction for Energy Efficiency Upgrades | Department...  

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

1, 2002, qualify for an income tax deduction for 100% of the cost of installing new insulation or other approved energy efficiency improvements in an existing residence. Any...

86

WORKINGPAPER SERIES Number 150CAP AND DIVIDEND: HOW TO CURB GLOBAL WARMING WHILE PROTECTING THE INCOMES OF AMERICAN FAMILIES  

E-Print Network (OSTI)

This essay examines the distributional effects of a “cap-and-dividend ” policy for reducing carbon emission in the United States: a policy that auctions carbon permits and rebates the revenue to the public on an equal per capita basis. The aim of the policy is to reduce U.S. emissions of carbon dioxide, the main pollutant causing global warming, while at the same time protecting the real incomes of middle-income and lower-income American families. The number of permits is set by a statutory cap on carbon emissions that gradually diminishes over time. The sale of carbon permits will generate very large revenues, posing the critical question of who will get the money. The introduction of carbon permits – or, for that matter, any policy to curb emissions – will raise prices of fossil fuels, Key words: Global warming; fossil fuels; climate change; carbon permits; cap-and-dividend; cap-and-auction; cap-and-trade. and have a regressive impact on income distribution, since fuel expenditures represent a larger fraction of income for lower-income households than for upper-income households. The net effect of carbon emission-reduction policies depends on who gets the money that households pay in higher prices. We find that a cap-and-dividend policy would have a strongly progressive net effect. Moreover, the majority of U.S. households would be net winners in purely monetary terms: that is, their real incomes, after paying higher fuel prices and receiving their dividends, would rise. From the standpoints of both distributional equity and political feasibility, a cap-and-dividend policy is therefore an attractive way to curb carbon emissions. s s

James K. Boyce; Matthew Riddle; James K. Boyce; Matthew Riddle

2007-01-01T23:59:59.000Z

87

INCOMING DOCUMENT CONTROL FORM DOCUMENT DESCRIPTION ORGANIZATIO  

Office of Legacy Management (LM)

INCOMING DOCUMENT CONTROL FORM DOCUMENT DESCRIPTION ORGANIZATIO )ATE COMPLETED: ACTION NUMBER: I ! I I DOCUMENT CONTROL DATE INITIALS DATA BASE: ACTION LOG: FILED: To : Doug Tonkay, OTS Decen From: MIchele Landis, dRW Subject: Draft report ~ Result= of the Radiologic; Former Ore Storage Site, Palmerton, Pennsylvania Attached is one copy of the draft report. PIE provide your comments to me by January 16, 1990. tlichele Landis ,9, 1989 "ey at the review and Results of the Radiological SJrvey at the Former Ore S&age Site, Palmerton, PennsylvLnia (PPOOI) J. L Quikd J. W. Cdchdr W. D. &rei ! I : HEALTH AND t5UEI-Y RESEARCH DMSi Waste Management Research and Development Prc (Activity No. AH 10 05 00 0; NEAHOOl) RESULTS OF 'I-HE RADIOLOGICAL SURV

88

Income Growth, Energy Consumption and Carbon Emissions in China  

Science Conference Proceedings (OSTI)

The paper examines the long-run relationship between per capita income growth, energy consumption, and pollutant emissions in China during the period 1953–2004. We find that energy consumption, pollutant emissions and income are cointegrated in ... Keywords: Energy consumption, Pollutant emissions, Causality, Multivariate cointegration, China

Zhi Zhao; Jiahai Yuan

2008-11-01T23:59:59.000Z

89

Low-income DSM Programs: Methodological approach to determining the cost-effectiveness of coordinated partnerships  

SciTech Connect

As governments at all levels become increasingly budget-conscious, expenditures on low-income, demand-side management (DSM) programs are being evaluated more on the basis of efficiency at the expense of equity considerations. Budgetary pressures have also caused government agencies to emphasize resource leveraging and coordination with electric and gas utilities as a means of sharing the expenses of low-income programs. The increased involvement of electric and gas utilities in coordinated low-income DSM programs, in turn, has resulted in greater emphasis on estimating program cost-effectiveness. The objective of this study is to develop a methodological approach to estimate the cost- effectiveness of coordinated low-income DSM programs, given the special features that distinguish these programs from other utility-operated DSM programs. The general approach used in this study was to (1) select six coordinated low-income DSM programs from among those currently operating across the United States, (2) examine the main features of these programs, and (3) determine the conceptual and pragmatic problems associated with estimating their cost-effectiveness. Three types of coordination between government and utility cosponsors were identified. At one extreme, local agencies operate {open_quotes}parallel{close_quotes} programs, each of which is fully funded by a single sponsor (e.g., one funded by the U.S. Department of Energy and the other by a utility). At the other extreme are highly {open_quotes}coupled{close_quotes} programs that capitalize on the unique capabilities and resources offered by each cosponsor. In these programs, agencies employ a combination of utility and government funds to deliver weatherization services as part of an integrated effort. In between are {open_quotes}supplemental{close_quotes} programs that utilize resources to supplement the agency`s government-funded weatherization, with no changes to the operation of that program.

Brown, M.A.; Hill, L.J.

1994-05-01T23:59:59.000Z

90

Southern States Energy Compact (Multiple States) | Department of Energy  

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

Southern States Energy Compact (Multiple States) Southern States Energy Compact (Multiple States) Southern States Energy Compact (Multiple States) < Back Eligibility Agricultural Commercial Construction Developer Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Alabama Program Type Environmental Regulations Industry Recruitment/Support Provider Southern States Energy Board

91

Measurement and Verification of Low Income Energy Efficiency Programs in  

Open Energy Info (EERE)

Measurement and Verification of Low Income Energy Efficiency Programs in Measurement and Verification of Low Income Energy Efficiency Programs in Brazil: Methodological Challenges Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Measurement and Verification of Low Income Energy Efficiency Programs in Brazil: Methodological Challenges Focus Area: Energy Efficiency Topics: Socio-Economic Website: www.eceee.org/conference_proceedings/eceee/2009/Panel_3/3.049/ Equivalent URI: cleanenergysolutions.org/content/measurement-and-verification-low-inco Language: English Policies: "Regulations,Financial Incentives" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. Regulations: Feebates This report presents results from Brazilian electric utilities evaluation

92

Domestic Hot Water Consumption in Four Low-Income Apartment Buildings  

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

Domestic Hot Water Consumption in Four Low-Income Apartment Buildings Title Domestic Hot Water Consumption in Four Low-Income Apartment Buildings Publication Type Conference...

93

The Farmer's Conundrum: Income from Biofuels or Protect the Soil? |  

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

The Farmer's Conundrum: Income from Biofuels or Protect the Soil? The Farmer's Conundrum: Income from Biofuels or Protect the Soil? The Farmer's Conundrum: Income from Biofuels or Protect the Soil? July 1, 2010 - 11:39am Addthis Lindsay Gsell After a harvest is over, crops can be sold, shipped, canned or consumed. But what happens to the parts of the crops that are inedible-the corn stover, stalks or cobs? Selling crop residues for bioenergy could provide farmers with an extra source of income. Yet, leaving some residue on the fields helps reduce soil erosion and maintain healthy levels of soil carbon and other nutrients. So how can land managers find this balance? Idaho National Laboratory (INL) is developing the Residue Removal Tool -- new software designed to simulate sustainability criteria -- to help find this balance of what to remove and what to leave behind. The software will

94

Figure ES2. Annual Indices of Real Disposable Income, Vehicle...  

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

ES2 Figure ES2. Annual Indices of Real Disposable Income, Vehicle-Miles Traveled, Consumer Price Index (CPI-U), and Real Average Retail Gasoline Price, 1978-2004, 1985100...

95

Weatherizing the Homes of Low-Income Home Energy Assistance Program Clients: A Programmatic Assessment  

SciTech Connect

The purpose of this project was to assess the relationships between two federal programs that support low income households, the Weatherization Assistance Program (WAP) and the Low Income Home Energy Assistance Program (LIHEAP). The specific question addressed by this research is: what impact does weatherizing homes of LIHEAP recipients have on the level of need for LIHEAP assistance? The a priori expectation is that the level of need will decrease. If this is the case, then it can be argued that a non-energy benefit of WAP is the reduction in the level of need for LIHEAP assistance for households receiving weatherization assistance. The study area for this project was Boston, Massachusetts, which is representative of large northern urban areas. Additionally, Boston was chosen because one of its social service agencies, Action for Boston Community Development (ABCD), administers both WAP and LIHEAP programs. ABCD has a substantial client base of low-income households and was willing to cooperate in this study. In the State of Massachusetts, an income test is used to determine whether low-income households qualify for standard LIHEAP benefits. Benefits provided to eligible households are determined by a schedule that gauges benefit levels based on household income and number of members in the household. Additionally, households that consume large amounts of primary heating fuel can also qualify an additional high energy subsidy. It was expected that weatherization's biggest influence on the LIHEAP program would be in reducing the number of households qualifying for high energy subsidies. Data were collected for three groups of households that received both weatherization and LIHEAP assistance and for one control group that only received LIHEAP assistance. Table ES-1 indicates the sample sizes, weatherization dates, and winter time periods when changes in energy consumption and receipt of LIHEAP benefits could be expected to be observed. The reason why there is a lag of one year when weatherization impacts upon LIHEAP benefits might be observed is that LIHEAP benefits--specifically high energy benefits--are based on the previous year's primary heat fuel bills.

Tonn, B.

2002-09-16T23:59:59.000Z

96

Agreement between the California State Employees Association (CSEA), Bargaining Unit 17 (Registered Nurse) and the State of California, 1999-2001  

E-Print Network (OSTI)

employees of the State of California in Bargaining Unit 17shall mean the State of California. BU 17 4. "Gross Income."17 by the State of California as defined in the Internal

California State Employees Association (CSEA)

1999-01-01T23:59:59.000Z

97

Approaches to Electric Utility Energy Efficiency for Low Income Customers  

Open Energy Info (EERE)

Approaches to Electric Utility Energy Efficiency for Low Income Customers Approaches to Electric Utility Energy Efficiency for Low Income Customers in a Changing Regulatory Environment Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Approaches to Electric Utility Energy Efficiency for Low Income Customers in a Changing Regulatory Environment Focus Area: Energy Efficiency Topics: Best Practices Website: www.ornl.gov/~webworks/cppr/y2001/misc/99601.pdf Equivalent URI: cleanenergysolutions.org/content/approaches-electric-utility-energy-ef Language: English Policies: "Regulations,Financial Incentives" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. Regulations: Feebates This report, written for members of the Weatherization Assistance Program

98

Delivering Energy Efficiency to Middle Income Single Family Households  

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

Delivering Energy Efficiency to Middle Income Single Family Households Delivering Energy Efficiency to Middle Income Single Family Households Title Delivering Energy Efficiency to Middle Income Single Family Households Publication Type Report Year of Publication 2011 Authors Zimring, Mark, Merrian Borgeson, Ian M. Hoffman, Charles A. Goldman, Elizabeth Stuart, Annika Todd, and Megan A. Billingsley Pagination 102 Date Published 12/2011 Publisher LBNL City Berkeley Keywords electricity markets and policy group, energy analysis and environmental impacts department Abstract The question posed in this report is: How can programs motivate these middle income single family households to seek out more comprehensive energy upgrades, and empower them to do so? Research methods included interviews with more than 35 program administrators, policy makers, researchers, and other experts; case studies of programs, based on interviews with staff and a review of program materials and data; and analysis of relevant data sources and existing research on demographics, the financial status of Americans, and the characteristics of middle income American households. While there is no 'silver bullet' to help these households overcome the range of barriers they face, this report describes outreach strategies, innovative program designs, and financing tools that show promise in increasing the attractiveness and accessibility of energy efficiency for this group. These strategies and tools should be seen as models that are currently being honed to build our knowledge and capacity to deliver energy improvements to middle income households. However, the strategies described in this report are probably not sufficient, in the absence of robust policy frameworks, to deliver these improvements at scale. Instead, these strategies must be paired with enabling and complementary policies to reach their full potential.

99

Utility investments in low-income-energy-efficiency programs  

SciTech Connect

The objective of this study is to describe the energy-efficiency programs being operated by utilities for low-income customers. The study focuses, in particular, on programs that install major residential weatherization measures free-of-charge to low-income households. A survey was mailed to a targeted list of 600 utility program managers. Follow-up telephone calls were made to key non- respondents, and a random sample of other non-respondents also was contacted. Completed surveys were received from 180 utilities, 95 of which provided information on one or more of their 1992 low-income energy-efficiency programs for a total of 132 individual programs. These 132 utility programs spent a total of $140.6 million in 1992. This represents 27% of the total program resources available to weatherize the dwellings of low-income households in that year. Both the total funding and the number of programs has grown by 29% since 1989. A majority of the 132 programs are concentrated in a few regions of the country (California, the Pacific Northwest, the Upper Midwest, and the Northeast). Although a majority of the programs are funded by electric utilities, gas utilities have a significantly greater average expenditure per participant ($864 vs. $307 per participant). The most common primary goal of low-income energy-efficiency programs operating in 1992 was {open_quotes}to make energy services more affordable to low-income customers{close_quotes}. Only 44% of the programs were operated primarily to provide a cost-effective energy resource. Based on a review of household and measure selection criteria, equity and not the efficiency of resource acquisition appears to dominate the design of these programs.

Brown, M.A. [Oak Ridge National Lab., TN (United States); Beyer, M.A. [Aspen Systems Corp., Oak Ridge, TN (United States); Eisenberg, J.; Power, M. [Economic Opportunity Research Institute, Washington, DC (United States); Lapsa, E.J. [Manhattan Data Systems, Knoxville, TN (United States)

1994-09-01T23:59:59.000Z

100

Household Energy Expenditure and Income Groups: Evidence from Great Britain  

E-Print Network (OSTI)

  and  0.024  for  district heating However, as income is not observed its effect cannot be analysed.  Wu et al. (2004) examine the demand for space heating in Armenia, Moldova, and  Kyrgyz  Republic  using  household  survey  data.  In  these  countries...  and in some regions incomes are not sufficient to  afford space heating from district heating systems making these systems unviable.  We  analyse  electricity,  gas  and  overall  energy  spending  for  a  large  sample  of  households  in  Great  Britain.  We  discern  inflection  points  and  discuss...

Jamasb, Tooraj; Meier, H

Note: This page contains sample records for the topic "median state income" 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

Controlling incoming connections using certificates and distributed hash tables  

Science Conference Proceedings (OSTI)

The current architecture of the Internet where anyone can send anything to anybody presents many problems. The recipient of the connection might be using a mobile access network and thus unwanted incoming connections could produce a high cost to the ... Keywords: DoS countermeasures, certificates, rights delegation, rights management, session management

Dmitrij Lagutin; Hannu H. Kari

2007-09-01T23:59:59.000Z

102

Oil Prices, External Income, and Growth: Lessons from Jordan  

E-Print Network (OSTI)

This paper extends the long-run growth model of Esfahani et al. (2012a) to a labour exporting country that receives large in‡ows of external income – the sum of remittances, FDI and general government transfers – from major oil exporting economies. The theoretical model predicts real oil prices to be one of the main long-run drivers of real output. Using quarterly data between 1979 and 2009 on core macroeconomic variables for Jordan and a number of key foreign variables, we identify two long-run relationships: an output equation as predicted by theory and an equation linking foreign and domestic in‡ation rates. It is shown that real output in the long run is shaped by (i) oil prices through their impact on external income and in turn on capital accumulation, and (ii) technological transfers through foreign output. The empirical analysis of the paper con…rms the hypothesis that a large share of Jordan’s output volatility can be associated with ‡uctuations in net income received from abroad (arising from oil price shocks). External factors, however, cannot be relied upon to provide similar growth stimuli in the future, and therefore it will be important to diversify the sources of growth in order to achieve a high and sustained level of income.

Kamiar Mohaddes A; Mehdi Raissi B

2013-01-01T23:59:59.000Z

103

Juanita's Money Order: Income Effects on Human Capital Investment in Mexico  

E-Print Network (OSTI)

Desarrollo Social Juanita’s Money Order: Income Effects onAvellaneda, 2005. Juanita’s Money Order: Income E?ects on13 Vice expenditures include money spent on alcohol and

Suarez, Juan Carlos; Avellaneda, Zenide

2007-01-01T23:59:59.000Z

104

55,"Aberdeen City of",5,1,482619,"Taxes Other Than Income Taxes...  

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

Services to Municipality or Other Government Units (line 14, less line 19)" 13523,"Newberry City of",5,1,0,"Taxes Other Than Income Taxes, Operating Income (408.1)"...

105

55,"Aberdeen City of",5,1,479437,"Taxes Other Than Income Taxes...  

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

Services to Municipality or Other Government Units (line 14, less line 19)" 13523,"Newberry City of",5,1,0,"Taxes Other Than Income Taxes, Operating Income (408.1)"...

106

"Shelter within my reach" : medium rise apartment housing for the middle income group in Karachi, Pakistan  

E-Print Network (OSTI)

This thesis identifies the project development processes of medium rise (five storied or less) apartment housing built by the private formal sector, catering to the middle income groups in Karachi, Pakistan. Middle income ...

Mahmood, Saman, 1972-

1999-01-01T23:59:59.000Z

107

Department of Energy Provides Nearly $88 Million to Low-Income...  

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

spend 5 percent of their income on paying energy bills, but for lower-income households the costs average 16 percent. These costs can include anything from heating and...

108

Department of Energy Provides Nearly $112 Million to Low-Income...  

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

spend five percent of their income on paying energy bills, but for lower-income households the costs average 16 percent. These costs can include anything from heating and...

109

Energy Department Provides $140.3 Million to Low-Income Families...  

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

spend 3.5 percent of their income on paying energy bills, but for lower-income households the costs average 14 percent. These costs can include anything from heating and...

110

United States Government  

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

ng ng United States Government Department of Energy Memorandum OFFICE OF INSPECTOR GENERAL DATE: APR 18 2003 REPLY TO ATTN OF: IG-34 (A02PR010) Audit Report No.: OAS-L-03-15 SUBJECT: Audit of the Weatherization Assistance Program TO: Director, Weatherization and Intergovernmental Program, EE-2K The purpose of this report is to inform you of the results of our audit of the Weatherization Assistance Program. INTRODUCTION AND OBJECTIVE The Weatherization Assistance Program (Program) was established to increase energy efficiency in dwellings owned or occupied by low-income persons to reduce their residential energy expenditures and improve their health and safety. Since its inception in 1976, the Program has reported that approximately 5 million dwelling units owned or occupied by low-income individuals have been weatherized.

111

Buildings Energy Data Book: 2.9 Low-Income Housing  

Buildings Energy Data Book (EERE)

4 4 Weatherization Population Facts - Roughly 25% of Federally eligible households move in and out of poverty "classification" each year. - The average income of Federally eligible households in FY 2005 was $16,264, based on RECS and Bureau of the Census' Current Population Survey (CPS) data. - States target the neediest, especially the elderly, persons with disabilities, and families with children. - Since the inception of the Weatherization Assistance Program in 1976, over 6.3 million households have received weatherization services with DOE and leveraged funding. - In FY 2009, the energy burden on Federally eligible households was about four times the burden on Federally ineligible households (14% versus 4%). Source(s): ORNL, Weatherization Works: Final Report on the National Weatherization Evaluation, Sept. 1994, p. 1 for migrating poor; ORNL, 1996 for targeting; HHS,

112

Low Impact, Affordable, Low Income Houses for Mexico  

E-Print Network (OSTI)

This paper discusses an effort to develop low impact, affordable, low income houses for Mexico. Low impact houses are defined as houses with energy and water needs that are substantially reduced below levels corresponding to code compliance. This paper includes an analysis of the population and energy consumption of the different climate regions in Mexico (Hot-Dry Deserts, Great Plains, Mediterranean, Semi-Arid, Temperate, Hot-Dry Jungles and Hot-Humid Jungles) versus the USA and concludes with advice on an approach for low impact housing.

Alcocer, J. L. B.; Haberl, J. S.

2010-08-01T23:59:59.000Z

113

T.: Numerical sequence extraction in handwritten incoming mail documents  

E-Print Network (OSTI)

In this communication, we propose a method for the automatic extraction of numerical fields in handwritten documents. The approach exploits the known syntactic structure of the numerical field to extract, combined with a set of contextual morphological features to find the best label to each connected component. Applying an HMM based syntactic analyzer on the overall document allows to localize/extract fields of interest. Reported results on the extraction of zip codes, phone numbers and customer codes from handwritten incoming mail documents demonstrate the interest of the proposed approach. 1.

G. Koch; L. Heutte; T. Paquet

2003-01-01T23:59:59.000Z

114

A structural analysis of natural gas consumption by income class from 1987 to 1993  

SciTech Connect

This study had two major objectives: (1) assess and compare changes in natural gas consumption between 1987 and 1993 by income group and (2) assess the potential influence of energy policy on observed changes in natural gas consumption over time and across income groups. This analysis used U.S. Department of Energy (DOE) data files and involved both the generation of simple descriptive statistics and the use of multivariate regression analysis. The consumption of natural gas by the groups was studied over a six-year period. The results showed that: (1) natural gas use was substantially higher for the highest income group than for the two lower income groups and (2) natural gas consumption declined for the lowest and middle income quintiles and increased for the highest income quintile between 1987 and 1990; between 1990 and 1993, consumption increased for the lowest and middle income quintile, but remained relatively constant for the highest income quintile. The relative importance of the structural and variable factors in explaining consumption changes between survey periods varies by income group. The analysis provides two major energy policy implications: (1) natural gas intensity has been the highest for the lowest income group, indicating that this group is more vulnerable to sudden changes in demand-indicator variables, in particular weather-related variables, than increase natural gas consumption, and (2) the fall in natural gas intensity between 1987 and 1993 may indicate that energy policy has had some impact on reducing natural gas consumption. 11 refs., 4 figs., 16 tabs.

Poyer, D.A.

1996-12-01T23:59:59.000Z

115

The Impact of Wind Development on County-Level Income and Employment...  

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

Ruth Baranowski, NRELPIX 16410 The Impact of Wind Development on County-Level Income and Employment: A Review of Methods and an Empirical Analysis Introduction The economic...

116

Effect of Income on Appliances in U.S. Households, The  

Reports and Publications (EIA)

This web page page entails how people live, the factors that cause the most differences in home lifestyle, including energy use in Geographic Location, Socioeconomics and Household Income.

Michael Laurence

2004-01-01T23:59:59.000Z

117

The association between income smoothing and job security concerns in New Zealand.  

E-Print Network (OSTI)

??This study tests for a relationship between income smoothing, proxied by discretionary accruals, and job security concerns, proxied by product durability, capital intensity, and leverage,… (more)

Tauch, Sothyda

118

Environ Resource Econ DOI 10.1007/s10640-008-9226-8 Are There Income Effects on Global Willingness to Pay for  

E-Print Network (OSTI)

Abstract This paper is concerned with the empirical relationship between biodiversity conservation values and income. We use random effects panel models to examine the effects of income, and then GDP per capita, on willingness to pay for habitat and biodiversity conservation. In a meta-analysis, 145 Willingness To Pay estimates for biodiversity conservation where existence value plays a major role were collected from 46 contingent valuation studies across six continents. Other effects included in the meta-analysis were the study year; habitat type; continent; scope as presented to respondents; whether WTP bids were for preventing a deterioration or gaining an improvement in conservation, whether a specific species or specific habitat was protected; whether the questionnaire used a dichotomous choice or an open-ended format; distribution format; and the choice of payment vehicle. GDP per capita seemed to perform as well as an explanatory variable as respondent’s mean stated income, indicating that it is wealth in society as a whole which determines variations in WTP. Even if large variation, our main conclusion is, that the demand for biodiversity conservation rises with a nation’s wealth, but the income elasticity of willingness to pay is less than one.

Biodiversity Conservation; Jette Bredahl; Jacobsen Nick Hanley; J. B. Jacobsen (b

2007-01-01T23:59:59.000Z

119

Investigating Possible Links between Incoming Cosmic Ray Fluxes and Lightning Activity over the United States  

Science Conference Proceedings (OSTI)

During the past two decades, particular scientific attention has been drawn to the potential cosmic ray–atmospheric coupling. Galactic cosmic rays reaching the upper troposphere are suggested as the key modulators of the global electric circuit, ...

Themis G. Chronis

2009-11-01T23:59:59.000Z

120

Enabling energy efficiency for low-income housing in Developing countries using MIT Design Advisor  

E-Print Network (OSTI)

There is a great need to improve energy efficiency of low-income housing, since people who can afford it least have to pay a significant portion of their income to make their homes more habitable or else live with greater ...

Ali, Zehra (Zehra Hyder)

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "median state income" 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

China's Income Distribution, 1985-2001 Ximing Wu* and Jeffrey M. Perloff**  

E-Print Network (OSTI)

China's Income Distribution, 1985-2001 Ximing Wu* and Jeffrey M. Perloff** February, 2005 We Bureau of Statistics of China, for explaining many features of the Chinese urban survey. Ximing Wu@are.berkeley.edu. #12;Abstract We employ a new method to estimate China's income distributions using publicly available

Perloff, Jeffrey M.

122

Ethiopia-Program for Scaling Up Renewable Energy in Low Income Countries  

Open Energy Info (EERE)

Ethiopia-Program for Scaling Up Renewable Energy in Low Income Countries Ethiopia-Program for Scaling Up Renewable Energy in Low Income Countries (SREP) Jump to: navigation, search Name Ethiopia-Program for Scaling Up Renewable Energy in Low Income Countries (SREP) Agency/Company /Organization World Bank Sector Energy, Land Topics Background analysis, Finance, Implementation, Low emission development planning, Market analysis Website http://www.climatefundsupdate. Program Start 2009 Country Ethiopia UN Region Southern Asia References Program for Scaling Up Renewable Energy in Low Income Countries (SREP)[1] Ethiopia Specific Documents[2] Honduras Specific Documents[3] Kenya Specific Documents[4] Maldives Specific Documents[5] Mali Specific Documents[6] Nepal Specific Documents[7] Overview "The Scaling-Up Renewable Energy Program for Low Income Countries (SREP) is

123

Maldives-Program for Scaling Up Renewable Energy in Low Income Countries  

Open Energy Info (EERE)

Maldives-Program for Scaling Up Renewable Energy in Low Income Countries Maldives-Program for Scaling Up Renewable Energy in Low Income Countries (SREP) Jump to: navigation, search Name Maldives-Program for Scaling Up Renewable Energy in Low Income Countries (SREP) Agency/Company /Organization World Bank Sector Energy, Land Topics Background analysis, Finance, Implementation, Low emission development planning, Market analysis Website http://www.climatefundsupdate. Program Start 2009 Country Maldives UN Region Southern Asia References Program for Scaling Up Renewable Energy in Low Income Countries (SREP)[1] Ethiopia Specific Documents[2] Honduras Specific Documents[3] Kenya Specific Documents[4] Maldives Specific Documents[5] Mali Specific Documents[6] Nepal Specific Documents[7] Overview "The Scaling-Up Renewable Energy Program for Low Income Countries (SREP) is

124

Program for Scaling Up Renewable Energy in Low Income Countries (SREP) |  

Open Energy Info (EERE)

Scaling Up Renewable Energy in Low Income Countries (SREP) Scaling Up Renewable Energy in Low Income Countries (SREP) Jump to: navigation, search Name Program for Scaling Up Renewable Energy in Low Income Countries (SREP) Agency/Company /Organization World Bank Sector Energy, Land Topics Background analysis, Finance, Implementation, Low emission development planning, Market analysis Website http://www.climatefundsupdate. Program Start 2009 Country Ethiopia, Honduras, Kenya, Maldives, Mali, Nepal UN Region Southern Asia References Program for Scaling Up Renewable Energy in Low Income Countries (SREP)[1] Ethiopia Specific Documents[2] Honduras Specific Documents[3] Kenya Specific Documents[4] Maldives Specific Documents[5] Mali Specific Documents[6] Nepal Specific Documents[7] Overview "The Scaling-Up Renewable Energy Program for Low Income Countries (SREP) is

125

EO 12898: Environmental Justice in Minority Populations and Low-Income  

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

2898: Environmental Justice in Minority Populations and 2898: Environmental Justice in Minority Populations and Low-Income Populations EO 12898: Environmental Justice in Minority Populations and Low-Income Populations To focus Federal attention on the environmental and human health conditions in minority communities and low-income communities with the goal of achieving environmental justice. That order is also intended to promote nondiscrimination in Federal programs substantially affecting human health and the environment, and to provide minority communities and low-income communities access to public information on, and an opportunity for public participation in, matters relating to human health or the environment. EO 12898: Environmental Justice in Minority Populations and Low-Income Populations More Documents & Publications

126

Nepal-Program for Scaling Up Renewable Energy in Low Income Countries  

Open Energy Info (EERE)

Nepal-Program for Scaling Up Renewable Energy in Low Income Countries Nepal-Program for Scaling Up Renewable Energy in Low Income Countries (SREP) Jump to: navigation, search Name Nepal-Program for Scaling Up Renewable Energy in Low Income Countries (SREP) Agency/Company /Organization World Bank Sector Energy, Land Topics Background analysis, Finance, Implementation, Low emission development planning, Market analysis Website http://www.climatefundsupdate. Program Start 2009 Country Nepal UN Region Southern Asia References Program for Scaling Up Renewable Energy in Low Income Countries (SREP)[1] Ethiopia Specific Documents[2] Honduras Specific Documents[3] Kenya Specific Documents[4] Maldives Specific Documents[5] Mali Specific Documents[6] Nepal Specific Documents[7] Overview "The Scaling-Up Renewable Energy Program for Low Income Countries (SREP) is

127

Honduras-Program for Scaling Up Renewable Energy in Low Income Countries  

Open Energy Info (EERE)

Honduras-Program for Scaling Up Renewable Energy in Low Income Countries Honduras-Program for Scaling Up Renewable Energy in Low Income Countries (SREP) Jump to: navigation, search Name Honduras-Program for Scaling Up Renewable Energy in Low Income Countries (SREP) Agency/Company /Organization World Bank Sector Energy, Land Topics Background analysis, Finance, Implementation, Low emission development planning, Market analysis Website http://www.climatefundsupdate. Program Start 2009 Country Honduras UN Region Southern Asia References Program for Scaling Up Renewable Energy in Low Income Countries (SREP)[1] Ethiopia Specific Documents[2] Honduras Specific Documents[3] Kenya Specific Documents[4] Maldives Specific Documents[5] Mali Specific Documents[6] Nepal Specific Documents[7] Overview "The Scaling-Up Renewable Energy Program for Low Income Countries (SREP) is

128

Mali-Program for Scaling Up Renewable Energy in Low Income Countries (SREP)  

Open Energy Info (EERE)

Mali-Program for Scaling Up Renewable Energy in Low Income Countries (SREP) Mali-Program for Scaling Up Renewable Energy in Low Income Countries (SREP) Jump to: navigation, search Name Mali-Program for Scaling Up Renewable Energy in Low Income Countries (SREP) Agency/Company /Organization World Bank Sector Energy, Land Topics Background analysis, Finance, Implementation, Low emission development planning, Market analysis Website http://www.climatefundsupdate. Program Start 2009 Country Mali UN Region Southern Asia References Program for Scaling Up Renewable Energy in Low Income Countries (SREP)[1] Ethiopia Specific Documents[2] Honduras Specific Documents[3] Kenya Specific Documents[4] Maldives Specific Documents[5] Mali Specific Documents[6] Nepal Specific Documents[7] Overview "The Scaling-Up Renewable Energy Program for Low Income Countries (SREP) is

129

Kenya-Program for Scaling Up Renewable Energy in Low Income Countries  

Open Energy Info (EERE)

Kenya-Program for Scaling Up Renewable Energy in Low Income Countries Kenya-Program for Scaling Up Renewable Energy in Low Income Countries (SREP) Jump to: navigation, search Name Kenya-Program for Scaling Up Renewable Energy in Low Income Countries (SREP) Agency/Company /Organization World Bank Sector Energy, Land Topics Background analysis, Finance, Implementation, Low emission development planning, Market analysis Website http://www.climatefundsupdate. Program Start 2009 Country Kenya UN Region Southern Asia References Program for Scaling Up Renewable Energy in Low Income Countries (SREP)[1] Ethiopia Specific Documents[2] Honduras Specific Documents[3] Kenya Specific Documents[4] Maldives Specific Documents[5] Mali Specific Documents[6] Nepal Specific Documents[7] Overview "The Scaling-Up Renewable Energy Program for Low Income Countries (SREP) is

130

Origin State Destination State  

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

8. Estimated truck transportation rates for coal, state to state, EIA data 8. Estimated truck transportation rates for coal, state to state, EIA data Origin State Destination State 2008 2009 2010 2008-2010 2009-2010 Alabama Alabama W W W W W Alabama Georgia - - W - - Alabama Indiana W W - - - Colorado Colorado W W W W W Colorado Michigan - - W - - Illinois Florida W - - - - Illinois Illinois $7.51 $4.74 $3.37 -33.0 -28.8 Illinois Indiana W W - - - Illinois Minnesota W W - - - Illinois Missouri $21.73 $20.23 $13.30 -21.8 -34.3 Indiana Alabama - W - - -

131

Origin State Destination State  

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

5. Estimated rail transportation rates for coal, state to state, STB data 5. Estimated rail transportation rates for coal, state to state, STB data Origin State Destination State 2001 2002 2003 2004 2005 2006 2007 2008 2009 2001-2009 2008-2009 Alabama Alabama W W W W W W W W W W W Alabama Georgia W W W W W W W W W W W Alabama Illinois - - - - - W W W W - W Colorado Alabama - W W W W W W W W - W Colorado Arizona W W W W W W W W W W W Colorado Arkansas - - - - W W W W - - -

132

Origin State Destination State  

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

4. Estimated rail transportation rates for coal, state to state, STB data 4. Estimated rail transportation rates for coal, state to state, STB data Origin State Destination State 2001 2002 2003 2004 2005 2006 2007 2008 2009 2001-2009 2008-2009 Alabama Alabama W W W W W W W W W W W Alabama Georgia W W W W W W W W W W W Alabama Illinois - - - - - W W W W - W Colorado Alabama - W W W W W W W W - W Colorado Arizona W W W W W W W W W W W Colorado Arkansas - - - - W W W W - - -

133

Origin State Destination State  

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

6. Estimated rail transportation rates for coal, state to state, STB data 6. Estimated rail transportation rates for coal, state to state, STB data Origin State Destination State 2001 2002 2003 2004 2005 2006 2007 2008 2009 2001-2009 2008-2009 Alabama Alabama W W W W W W W W W W W Alabama Georgia W W W W W W W W W W W Alabama Illinois - - - - - W W W W - W Colorado Alabama - W W W W W W W W - W Colorado Arizona W W W W W W W W W W W Colorado Arkansas - - - - W W W W - - -

134

Origin State Destination State  

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

5. Estimated barge transportation rates for coal, state to state, EIA data 5. Estimated barge transportation rates for coal, state to state, EIA data Origin State Destination State 2008 2009 2010 2008-2010 2009-2010 Alabama Alabama $4.31 $4.36 $5.01 7.9 15.0 Alabama Ohio W - - - - Colorado Alabama W - - - - Colorado Florida $11.08 $12.65 $13.27 9.4 4.9 Colorado Indiana $6.29 W - - - Colorado Iowa W - - - - Colorado Kentucky W - - - - Colorado Mississippi - - W - - Colorado Ohio - W - - - Colorado Tennessee W - - - - Illinois Alabama W $13.15 $14.28 W 8.6

135

Origin State Destination State  

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

6. Estimated barge transportation rates for coal, state to state, EIA data 6. Estimated barge transportation rates for coal, state to state, EIA data Origin State Destination State 2008 2009 2010 2008-2010 2009-2010 Alabama Alabama $3.97 $3.97 $4.52 6.7 13.7 Alabama Ohio W - - - - Colorado Alabama W - - - - Colorado Florida $10.21 $11.53 $11.95 8.2 3.7 Colorado Indiana $5.79 W - - - Colorado Iowa W - - - - Colorado Kentucky W - - - - Colorado Mississippi - - W - - Colorado Ohio - W - - - Colorado Tennessee W - - - - Illinois Alabama W $11.99 $12.87 W 7.3

136

Origin State Destination State  

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

7. Estimated truck transportation rates for coal, state to state, EIA data 7. Estimated truck transportation rates for coal, state to state, EIA data Origin State Destination State 2008 2009 2010 2008-2010 2009-2010 Alabama Alabama W W W W W Alabama Georgia - - W - - Alabama Indiana W W - - - Colorado Colorado W W W W W Colorado Michigan - - W - - Illinois Florida W - - - - Illinois Illinois $8.16 $5.20 $3.75 -32.2 -27.9 Illinois Indiana W W - - - Illinois Minnesota W W - - - Illinois Missouri $23.60 $22.20 $14.77 -20.9 -33.5 Indiana Alabama - W - - -

137

Investigating the book-tax income gap : factors which affect the gap and details regarding its most significant component  

E-Print Network (OSTI)

(cont.) In total, my thesis suggests that recent changes in the book-tax income gap may be exogenous and transitory, due to changes to the calculation of book income, general business conditions or other factors which ...

Seidman, Jeri

2008-01-01T23:59:59.000Z

138

Agricultural Biomass Income Tax Credit (Corporate) (New Mexico...  

Open Energy Info (EERE)

Incentive Type Corporate Tax Credit Applicable Sector Agricultural Eligible Technologies Biomass Active Incentive Yes Incentive Inactive Date 12312019 Implementing Sector State...

139

Agricultural Biomass Income Tax Credit (Personal) (New Mexico...  

Open Energy Info (EERE)

Incentive Type Personal Tax Credit Applicable Sector Agricultural Eligible Technologies Biomass Active Incentive Yes Implementing Sector StateTerritory Energy Category Renewable...

140

The Role of Acculturation in Nutrition Behaviors among Low Income Hispanic Women Living in Texas  

E-Print Network (OSTI)

The purpose of this study was to determine the role of acculturation in the food consumption patterns of low income Hispanic women living in Texas and enrolled in the Women, Infants, and Children (WIC) Program by testing the following hypotheses: a) There are significant differences in consumption of fruit and vegetables by selected socio-demographic variables; and, b) less healthy food consumption patterns are associated with higher levels of acculturation in health-related research involving low-income Hispanic women living in Texas. A secondary-data analysis of the responses to the Texas Food & Nutrition (TEXFAN) questionnaire was performed. TEXFAN is a 122-item survey designed to measure WIC participants' consumption behaviors and to assess the impact of new food packages in Texas' WIC program. A total of 3,336 adult, non-pregnant women self-identified as having Hispanic ethnic background of all races were considered for this study. Analysis of Variance and Kruskal-Wallis tests showed significant differences in nutritional practices among Hispanic women for age, educational attainment, employment status, race, area of residence, and acculturation. Logistic Regression analysis confirmed the hypothesis that lower levels of acculturation are associated with healthier food consumption patterns. The majority of respondents (70.7%, N=2,358) did not consume the recommended five servings of fruits and vegetables a day; therefore, do not have healthy patterns of food consumption. Consequently, the majority of respondents (70.0%, N= 1,709) has a weight statuses above normal and at a higher proportion than women in the State of Texas and the nation. Acculturation continues to interest social and behavioral researchers but variations on conceptualization, definition, operationalization, and measurement negatively impact generalizability and applicability of results. Interventions not considering acculturation are not likely to be successful. Research has to include community, ecological, cultural and contextual factors (e.g., machismo, accessibility to sidewalks, availability of fresh healthy foods, etc.). Development of effective intervention programs should be aimed to increase consumption of healthy food and an adherence to the recommendations of the "Healthy Plate" and the "Dietary Guidelines for Americans 2010" among Hispanics. Also, interventions should generate necessary skills among Hispanics for empowering them to sustain proper nutritional behaviors and overcome barriers.

Atehortua, Nelson

2012-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "median state income" 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

Origin State Destination State  

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

8. Estimated rail transportation rates for coal, state to state, EIA data 8. Estimated rail transportation rates for coal, state to state, EIA data Origin State Destination State 2008 2009 2010 2008-2010 2009-2010 Alabama Alabama $13.29 $12.39 $13.93 2.4 12.5 Alabama Georgia $17.62 $17.84 $20.09 6.8 12.6 Alabama Kentucky - W - - - Alabama New Jersey W - - - - Alabama Pennsylvania - W - - - Arizona Arizona W W W W W Colorado Alabama $31.79 $27.66 $24.93 -11.5 -9.9 Colorado Arizona $25.97 W - - - Colorado Arkansas W - - - - Colorado California - $34.20 $46.22 - 35.1 Colorado Colorado $13.04 $7.72 $8.13 -21.1 5.3

142

Origin State Destination State  

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

Estimated rail transportation rates for coal, state to state, EIA data Estimated rail transportation rates for coal, state to state, EIA data Origin State Destination State 2008 2009 2010 2008-2010 2009-2010 Alabama Alabama $14.43 $13.59 $15.46 3.5 13.8 Alabama Georgia $19.13 $19.58 $22.30 8.0 13.9 Alabama Kentucky - W - - - Alabama New Jersey W - - - - Alabama Pennsylvania - W - - - Arizona Arizona W W W W W Colorado Alabama $34.52 $30.35 $27.67 -10.5 -8.8 Colorado Arizona $28.20 W - - - Colorado Arkansas W - - - - Colorado California - $37.53 $51.30 - 36.7 Colorado Colorado $14.16 $8.47 $9.02 -20.2 6.6

143

EO 12898: Environmental Justice in Minority Populations and Low-Income Populations  

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

WASHINGTON WASHINGTON February 11, 1994 MEMORANDUM FOR THE HEADS OF ALL DEPARTMENTS AND AGENCIES SUBJECT: Executive Order on Federal Actions to Address Environmental Justice in Minority Populations and Low- Income Populations Today I have issued an Executive Order on Federal Actions to Address Environmental Justice in Minority Populations and Low-Income Populations. That order is designed to focus Federal attention on the environmental and human health conditions in minority communities and low-income communities with the goal of achieving environmental justice. That order is also intended to promote nondiscrimination in Federal programs substantially affecting human health and the environment, and to provide minority communities and low-income communities access to public

144

Urban settlement design, Seoul, Korea : a comparative study for low-income housing  

E-Print Network (OSTI)

The study proposes an alternative design approach for urban dwelling environments of the low-income sectors in Seoul, Korea, based upon a comparative evaluation of the physical and socio-economic performance of the existing ...

Je, Hae-Seong

1982-01-01T23:59:59.000Z

145

Sensitivity of Computed Incoming Solar Radiation at the Surface to Cloud Analyses  

Science Conference Proceedings (OSTI)

A radiation model was used to simulate daily incoming solar radiation at four ships during Phase III of GATE. The accuracy of the simulations from several different cloud analyses based on ship or satellite data was estimated by comparison with ...

John T. Ball; Marshall A. Atwater; Stephen J. Thoren

1981-04-01T23:59:59.000Z

146

The Low-Income Housing Tax Credit : HERA, ARRA and beyond  

E-Print Network (OSTI)

The Low-Income Housing Tax Credit (LIHTC) has arguably been the most successful government subsidy to finance affordable housing. Since its creation in the Tax Reform Act of 1986 as Internal Revenue Code (IRC) Section 42, ...

Korb, Jason (Jason Bryan Patricof)

2009-01-01T23:59:59.000Z

147

Incoming Shortwave Fluxes at the Surface—A Comparison of GCM Results with Observations  

Science Conference Proceedings (OSTI)

Evidence is presented that the excess surface net radiation calculated in general circulation models at continental surfaces is mostly due to excess incoming shortwave fluxes. Based on long-term observations from 22 worldwide inland stations and ...

J. R. Garratt

1994-01-01T23:59:59.000Z

148

Equitable economic energy efficiency : creating good jobs in low-income efficiency programming  

E-Print Network (OSTI)

Energy efficiency is an important consideration in energy policy-making. So, a federal program aimed at funding "energy efficiency retrofits" for low-income households could be an important step in increasing the overall ...

Sarin, Amit

2009-01-01T23:59:59.000Z

149

Relating Rainfall Patterns to Agricultural Income: Implications for Rural Development in Mozambique  

Science Conference Proceedings (OSTI)

Rural farmers in Mozambique rely on rainfed agriculture for food and income. Yet they experience high rainfall variability ranging from extreme drought to flooding rainfall from tropical cyclone systems. To explore linkages between rainfall and ...

Julie A. Silva; Corene J. Matyas

150

Community transportation : alternative transportation provision in a low-income neighborhoods in southeast Atlanta  

E-Print Network (OSTI)

Regional transit agencies are ineffective at meeting many of the basic transportation needs of a clustered "Study Area" of low-income Atlanta neighborhoods. For transit dependant residents in the Study Area, getting to the ...

Alexander, James W., 1977-

2004-01-01T23:59:59.000Z

151

New Hampshire Electric Co-Op - Low-Income Energy Assistance Grant...  

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

help NHEC's income-qualified members manage energy use with the goal of lowering total energy costs. Qualified members living in an apartment or house, either rented or owned, can...

152

The forgotten class : reconceptualizing contemporary middle-income housing in New York City  

E-Print Network (OSTI)

New York City's costly real estate poses housing affordability challenges for not only low- or even moderate-income households, but also for the so-called "middle class." Because New York is predominantly a renter's market, ...

Milchman, Karina (Karina Faye)

2013-01-01T23:59:59.000Z

153

Low-income communities in World Heritage Cities : revitalizing neighborhoods in Tunis and Quito  

E-Print Network (OSTI)

Since the 1970s, international preservation and funding agencies have promoted revitalization projects in developing countries aiming to, among other things, benefit low-income communities. For the most part, these projects ...

Young, T. Luke, 1972-

2000-01-01T23:59:59.000Z

154

The Impact of Wind Development on County-Level Income and Employment...  

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

The Impact of Wind Development on County-Level Income and Employment: A Review of Methods and an Empirical Analysis (Fact Sheet) Title The Impact of Wind Development on...

155

A Study of the Incoming Longwave Atmospheric Radiation from a Clear Sky  

Science Conference Proceedings (OSTI)

A band model for atmospheric absorption is used to calculate the incoming longwave atmospheric radiative flux for some typical clear sky conditions. The sky radiation is also measured using a specially-designed calorimetric apparatus over a wide ...

J. W. Ramsey; H. D. Chiang; R. J. Goldstein

1982-04-01T23:59:59.000Z

156

Causes, effects, and implications of subletting : experiences from low-income neighborhoods in Third World cities  

E-Print Network (OSTI)

In recent years increasing numbers of low-income families in Third World cities have found it necessary to share housing accommodation. Those with access to land may be unable to afford to build their house or to pay the ...

Bailey, Susan Ruth

1987-01-01T23:59:59.000Z

157

Low income housing tax credit properties : non-profit disposition strategies in the Commonwealth  

E-Print Network (OSTI)

This thesis examines how non-profit owners in Massachusetts have maintained affordability and ownership of Low-Income Housing Tax Credit (LIHTC) properties after the initial fifteen-year compliance period, at the lowest ...

Lew-Hailer, Lillian

2007-01-01T23:59:59.000Z

158

Low-income energy assistance programs: a profile of need and policy options  

Science Conference Proceedings (OSTI)

This second report of the Fuel Oil Marketing Advisory Committee (FOMAC) of DOE is twofold: to update information on the energy needs of low-income persons and governmental response to such needs; and to emphasize the need for energy-conservation programs that may alleviate the enormous financial burden placed on low-income people by rising energy prices. FOMAC has continued to develop further and refine its initial energy-conservation recommendations. Mainly, the updated assessment document finds that the poor will expend at least 35% of their income directly on energy and will spend at least 21% of their income on household energy. Other economic impacts of rising energy costs on low-income groups are summarized. Appropriations and stipulations by Congress to aid the lo-income people are reviewed. After careful review of various program designs, FOMAC continues to support the income indexing/vendor line of credit approach. This design provides assistance to elgible households based on: energy needed, cost of fuel, and percentage of income. The cost of implementing the FOMAC design nationally would, according to estimates, range from $3.5 to $4.6 billion for the 1980-1981 winter heating season. A figure of $1.6 to $2.2 billion is being discussed in the Congress. Meeting the ongoing energy needs of the poor will require a coherent national policy which consists of aid in paying energy bills and aid in the poor's effort to conserve energy. The report seeks to promote such policies. Needs assessment, government response, FOMAC model, comments on the programs, projected cost of 1980-1981 Energy Assistance Program, need for conservation programs, and program financing are discussed.

Not Available

1980-07-01T23:59:59.000Z

159

Executive Order 12898: Federal Actions to Address Environmental Justice in Minority Populations and Low-Income Populations (1994)  

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

Documents Documents Federal Register Vol. 59, No. 32 Wednesday, February 16, 1994 Title 3- The President Executive Order 12898 of February 11, 1994 Federal Actions To Address Environmental Justice in Minority Populations and Low-Income Populations By the authority vested in me as President by the Constitution and the laws of the United States of America, it is hereby ordered as follows: Section 1-1.Implementation. 1-101. Agency Responsibilities. To the greatest extent practicable and per- mitted by law, and consistent with the principles set forth in the report on the National Performance Review, each Federal agency shall make achiev- ing environmental justice part of its mission by identifying and addressing, as appropriate, disproportionately high and adverse human health or environ-

160

The asymmetric effects of changes in price and income on energy and oil demand.” Energy Journal 23(1  

E-Print Network (OSTI)

This paper estimates the effects on energy and oil demand of changes in income and oil prices, for 96 of the world’s largest countries, in per-capita terms. We examine three important issues: the asymmetric effects on demand of increases and decreases in oil prices; the asymmetric effects on demand of increases and decreases in income; and the different speeds of demand adjustment to changes in price and in income. Its main conclusions are the following: (1) OECD demand responds much more to increases in oil prices than to decreases; ignoring this asymmetric price response will bias downward the estimated response to income changes; (2) demand’s response to income decreases in many Non-OECD countries is not necessarily symmetric to its response to income increases; ignoring this asymmetric income response will bias the estimated response to income changes; (3) the speed of demand adjustment is faster to changes in income than to changes in price; ignoring this difference will bias upward the estimated response to income changes. Using correctly specified equations for energy and oil demand, the long-run response in demand for income growth is about 1.0 for Non-OECD Oil Exporters, Income Growers and perhaps all Non-OECD countries, and about 0.55 for OECD countries. These estimates for developing countries are significantly higher than current estimates used by the US Department of Energy. Our estimates for the OECD countries are also higher than those estimated recently by Schmalensee-Stoker-Judson (1998) and Holtz-Eakin and Selden (1995), who ignore the (asymmetric) effects of prices on demand. Higher responses to income changes, of course, will increase projections of energy and oil demand, and of carbon dioxide emissions.

Dermot Gately; Hillard G. Huntington; Dermot Gately; Hillard G. Huntington; Joyce Dargay; Lawrence Goulder; Mary Riddel; Shane Streifel

2002-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "median state income" 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

Regulations For State Administration Of The National Pollutant Discharge  

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

For State Administration Of The National Pollutant For State Administration Of The National Pollutant Discharge Elimination System (Arkansas) Regulations For State Administration Of The National Pollutant Discharge Elimination System (Arkansas) < Back Eligibility Agricultural Commercial Construction Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Program Info State Arkansas Program Type Siting and Permitting Provider Department of Environmental Quality The Regulations For State Administration Of The National Pollutant

162

Impact of Wind Development on County-Level Income and Employment: A Review of Methods and an Empirical Analysis (Fact Sheet)  

DOE Green Energy (OSTI)

To gain an understanding of the long-term county-level impacts from a large sample of wind power projects and to understand the potential significance of methodological criticisms, the U.S. Department of Agriculture, the Lawrence Berkeley National Laboratory, and NREL recently joined efforts to complete a first-of-its-kind study that quantifies the annual impact on county-level personal income resulting from wind power installations in nearly 130 counties across 12 states. The results of this study, as well as a comparison with the prior county-level estimates generated from input-output models, are summarized here.

Not Available

2012-09-01T23:59:59.000Z

163

Some State | Open Energy Information  

Open Energy Info (EERE)

Some State Some State Jump to: navigation, search Some State Governor John Doe (D) Population 10,000,000 (rank: 10) GDP $258.3 billion (rank: 14) Household Income $49,000 (rank: 13) OpenEI Resources Energy Maps 18 (rank: 13) Energy Datasets 15 (rank: 12) Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. Natural Resources Renewable Energy Value Rank Period Source Wind Potential TBD TBD TBD NREL (via WindPoweringAmerica.gov)

164

State Agencies  

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

Agencies Beatrice State Developmental Center, Nebraska Black Hills State University, SD, South Dakota Fergus Falls State Hospital, Minnesota Hastings Regional Center, Nebraska...

165

Baldrige Impacts, State by State  

Science Conference Proceedings (OSTI)

... Several states are providing coverage for other states without current programs. To learn more about impacts and benefits in each state select a ...

166

"Table HC7.5 Space Heating Usage Indicators by Household Income, 2005"  

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

5 Space Heating Usage Indicators by Household Income, 2005" 5 Space Heating Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Space Heating Usage Indicators" "Total U.S. Housing Units",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Do Not Have Heating Equipment",1.2,0.5,0.3,0.2,"Q",0.2,0.3,0.6 "Have Space Heating Equipment",109.8,26.2,28.5,20.4,13,21.8,16.3,37.9 "Use Space Heating Equipment",109.1,25.9,28.1,20.3,12.9,21.8,16,37.3

167

"Table HC7.10 Home Appliances Usage Indicators by Household Income, 2005"  

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

0 Home Appliances Usage Indicators by Household Income, 2005" 0 Home Appliances Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Appliances Usage Indicators" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,2.9,2.5,1.3,0.5,1,2.4,4.6 "2 Times A Day",24.6,6.5,7,4.3,3.2,3.6,4.8,10.3 "Once a Day",42.3,8.8,9.8,8.7,5.1,10,5,12.9

168

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

Open Energy Info (EERE)

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

169

Do homeowners increase consumption after the last mortgage payment? An alternative test of the permanent income hypothesis  

E-Print Network (OSTI)

The maturity date of a mortgage loan marks the end of monthly mortgage payments for homeowners. In the period after the last payment, homeowners experience an increase in their monthly disposable income that is equal to the average monthly mortgage payment. Our study interprets this event as an anticipated increase in income, and analyzes consumption behavior over the transition period. In particular, we test whether households smooth consumption as predicted by the rational expectation Life-Cycle/Permanent Income Hypothesis (Re-LC/PIH). We find that they do. Households do not alter nondurable goods consumption in the period following the last mortgage payment despite the increase in disposable income.

Brahima Coulibaly; Geng Li

2006-01-01T23:59:59.000Z

170

Substance use and intimate partner violence among low income, urban women seeking care in an emergency department.  

E-Print Network (OSTI)

?? This three-paper dissertation aims to examine the relationship between using drugs and alcohol and experiencing intimate partner violence (IPV) among low income urban women… (more)

Gilbert, Louisa

2009-01-01T23:59:59.000Z

171

Energy Department Awards $92.5 Million to 19 States to Weatherize Homes of  

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

92.5 Million to 19 States to Weatherize 92.5 Million to 19 States to Weatherize Homes of Low-Income Families Energy Department Awards $92.5 Million to 19 States to Weatherize Homes of Low-Income Families July 18, 2005 - 2:22pm Addthis WASHINGTON, DC - Secretary of Energy Samuel W. Bodman announced that $92.5 million has been awarded to 19 states to improve the energy efficiency of low-income family homes. The Department of Energy's (DOE) Weatherization Assistance Program makes improvements such as plugging air leaks, improving insulation and tuning air conditioning and heating systems, which reduces energy waste and lowers energy bills. Through DOE's weatherization program, approximately 92,300 homes will be upgraded this year. "The Department of Energy's Weatherization Assistance Program helps

172

State Energy Policy Goal and Development (Montana) | Department of Energy  

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

State Energy Policy Goal and Development (Montana) State Energy Policy Goal and Development (Montana) State Energy Policy Goal and Development (Montana) < Back Eligibility Agricultural Commercial Construction Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Montana Program Type Generation Disclosure Provider Montana Legislature, Legislative Services Division

173

State Small Business Credit Initiative (Minnesota) | Department of Energy  

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

State Small Business Credit Initiative (Minnesota) State Small Business Credit Initiative (Minnesota) State Small Business Credit Initiative (Minnesota) < Back Eligibility Commercial Agricultural Construction Developer Fuel Distributor Industrial Installer/Contractor Institutional Low-Income Residential Multi-Family Residential Retail Supplier Systems Integrator Transportation Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Minnesota Program Type Loan Program Provider Department of Employment and Economic Development The State Small Business Credit Initiative (SSBCI) uses federal funding to stimulate private-sector lending and improve access to capital for small businesses and manufacturers that are credit worthy but not getting loans

174

Income distribution and the allocation of public agricultural investment in developing countries  

E-Print Network (OSTI)

Income distribution and the allocation of public agricultural investment in developing countries responsible for the views expressed and for any limitiations #12;1 Introduction We compare the distributional average distribution costs, encouraging the growth of a distributional network. The creation of an export

Kammen, Daniel M.

175

Evidence for the Gompertz Curve in the Income Distribution of Brazil 1978-2005  

E-Print Network (OSTI)

This work presents an empirical study of the evolution of the personal income distribution in Brazil. Yearly samples available from 1978 to 2005 were studied and evidence was found that the complementary cumulative distribution of personal income for 99% of the economically less favorable population is well represented by a Gompertz curve of the form $G(x)=\\exp [\\exp (A-Bx)]$, where $x$ is the normalized individual income. The complementary cumulative distribution of the remaining 1% richest part of the population is well represented by a Pareto power law distribution $P(x)= \\beta x^{-\\alpha}$. This result means that similarly to other countries, Brazil's income distribution is characterized by a well defined two class system. The parameters $A$, $B$, $\\alpha$, $\\beta$ were determined by a mixture of boundary conditions, normalization and fitting methods for every year in the time span of this study. Since the Gompertz curve is characteristic of growth models, its presence here suggests that these patterns in...

Moura, Newton J

2008-01-01T23:59:59.000Z

176

The Myth of Post-Reform Income Stagnation: Evidence from Brazil and Mexico  

E-Print Network (OSTI)

This Working Paper should not be reported as representing the views of the IMF. The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate. Economic policies are often judged by a handful of statistics, some of which may be biased during periods of change. We estimate the income growth implied by the evolution of food demand and durable good ownership in post-reform Brazil and Mexico, and find that changes in consumption patterns are inconsistent with official estimates of near stagnant incomes. That is attributed to biases in the price deflator. The estimated unmeasured income gains are higher for poorer households, implying marked reductions in “real ” inequality. These findings challenge the conventional wisdom that post-reform income growth was low and did not benefit the poor. 25BJEL Classification

Irineu De Carvalho Filho; Prepared Irineu; Carvalho Filho; Marcos Chamon

2008-01-01T23:59:59.000Z

177

Buildings Energy Data Book: 2.9 Low-Income Housing  

Buildings Energy Data Book (EERE)

Level and Weatherization Eligibility (Millions) Single-Family Multi-Family Unit Mobile Home 2005 Household Income Own Rent Own Rent Own Rent Less than 15,000 6.1 2.4 0.3 7.1 1.6...

178

It's not all about "Green": energy use in low-income communities  

Science Conference Proceedings (OSTI)

Personal energy consumption, specifically home energy consumption such as heating, cooling, and electricity, has been an important environmental and economic topic for decades. Despite the attention paid to this area, few researchers have specifically ... Keywords: domestic computing, low-income, sustainability

Tawanna Dillahunt; Jennifer Mankoff; Eric Paulos; Susan Fussell

2009-09-01T23:59:59.000Z

179

Projecting net incomes for Texas crop producers: an application of probabilistic forecasting  

E-Print Network (OSTI)

Agricultural policy changes directly affect the economic viability of Texas crop producers because government payments make up a significant portion of their net farm income (NFI). NFI projections benefit producers, agribusinesses and policy makers, but an economic model making these projections for Texas did not previously exist. The objective of this study was to develop a model to project annual NFI for producers of major crops in Texas. The Texas crop model was developed to achieve this objective, estimating state prices, yields and production costs as a function of their national counterparts. Five hundred iterations of national price and yield projections from the Food and Agricultural Policy Research Institute (FAPRI), along with FAPRI�s average production cost projections, were used as input to the Texas crop model. The stochastic FAPRI Baseline and residuals for Ordinary Least Squares (OLS) equations relating Texas variables to national variables were used to incorporate the risk left unexplained by OLS equations between Texas and U.S. variables. Deterministic and probabilistic NFI projections for Texas crops were compared under the January 2005 and January 2006 FAPRI Baseline projections. With production costs increasing considerably and prices rising moderately in the January 2006 Baseline, deterministic projections of 2006-2014 Texas NFI decreased by an average of 26 percent for corn, 3 percent for cotton, 15 percent for peanuts, and 12 percent for rice, and were negative for sorghum and wheat. Probability distributions of projected NFI fell for all program crops, especially sorghum and wheat. Higher hay price projections caused deterministic projections of NFI for hay to rise roughly 13 percent, and increased the probability distributions of projected hay NFI. Deterministic and probabilistic projections of total NFI decreased for each year, especially for 2006-2008 when fuel price projections were the highest. The Texas crop model can be used to simulate NFI for Texas crop producers under alternative FAPRI baselines. The model shows the impact of baseline changes on probability distributions of NFI for each crop and for Texas as a whole. It can also be useful as a policy analysis tool to compare impacts of alternative farm and macroeconomic policies on NFI.

Eggerman, Christopher Ryan

2006-08-01T23:59:59.000Z

180

New York, New York 10003-6687The Asymmetric Effects of Changes in Price and Income on Energy and Oil Demand  

E-Print Network (OSTI)

This paper estimates the effects on energy and oil demand of changes in income and oil prices, for 96 of the world’s largest countries, in per-capita terms. We examine three important issues: the asymmetric effects on demand of increases and decreases in oil prices; the asymmetric effects on demand of increases and decreases in income; and the different speeds of demand adjustment to changes in price and in income. Its main conclusions are the following: (1) OECD demand responds much more to increases in oil prices than to decreases; ignoring this asymmetric price response will bias downward the estimated income elasticity; (2) demand’s response to income decreases in many non-OECD countries is not necessarily symmetric to its response to income increases; ignoring this asymmetric income response will bias the estimated income elasticity; (3) the speed of demand adjustment is faster to changes in income than to changes in price; ignoring this difference will bias upward the estimated response to income changes. Using correctly specified equations for energy and oil demand, the long-run elasticity for increases in income is about 0.55 for OECD energy and oil, and 1.0 or higher for Non-OECD Oil Exporters, Income Growers and perhaps all Non-OECD countries. These income elasticity

Dermot Gately; Hillard G. Huntington; Dermot Gately; Hillard G. Huntington; Dermot Gately; Hillard G. Huntington

2001-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "median state income" 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

Location Games and Bounds for Median Problems  

E-Print Network (OSTI)

We consider a two-person zero-sum game in which the maximizer selects a point in a given bounded planar region, the minimizer selects K points in that region,.and the payoff is the distance from the maximizer's location ...

Haimovich, Mordecai

182

Local Option Transportation Taxes in the United States (Part Two: "State-by-State Findings")  

E-Print Network (OSTI)

City Income Tax Surcharge** Yonkers Fuel NYCLS Tax ? 284BSurcharge Kalawao Ten years Gasoline HRS 243-5 County Fuel

Goldman, Todd; Corbett, Sam; Wachs, Martin

2001-01-01T23:59:59.000Z

183

Local Option Transportation Taxes in the United States (Part Two: "State-by-State Findings")  

E-Print Network (OSTI)

Tax City Income Tax Surcharge** Leaded Fuel Tax Mortgageand Use Tax Surcharge Kalawao County Fuel Tax Vehicle Weight

Goldman, Todd; Corbett, Sam; Wachs, Martin

2001-01-01T23:59:59.000Z

184

Energy efficient low-income housing demonstration with Houston Habitat for Humanity. Final status report, October 1, 1995--September 30, 1997  

Science Conference Proceedings (OSTI)

Using DOE grant funds, the Alliance to Save Energy developed and managed an award-winning low-income housing demonstration in cooperation with Houston Habitat for Humanity at the 1996 and 1997 annual NAHB Builders Show in Houston, Texas. Using a unique group of over 30 national, state and local partners, the energy design of Houston Habitat houses was permanently upgraded to the Energy Star Homes Program threshold. Meeting Energy Star Homes Program criteria, the partner design team increased the level of efficiency approximately 30% over the 1992 Model Energy Code. This innovative design using commercially available materials added approximately $1,400 in cost-effective energy upgrades with an estimated payback of less than 8 years. The 30 public-private partners successfully demonstrated energy and resource efficient housing techniques to the 65,000 NAHB home show attendees and the over 3,000 Habitat affiliates. This project resulted in the Houston Habitat affiliate becoming the nation`s first low-income Energy Star Homes Program home builder. By the year 2000, Houston Habitat anticipates building over 500 homes to this new level of efficiency as well as set an example for other Habitat affiliates nationwide to follow. The 1997 demonstration house utilized an all-women volunteer builders team to construct a 3 bedroom home in Houston Habitat`s Woodglen Subdivision. Energy consumption was remotely metered by Texas A and M.

NONE

1997-09-30T23:59:59.000Z

185

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

Science Conference Proceedings (OSTI)

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

Not Available

1991-01-18T23:59:59.000Z

186

Feasibility of an energy-related loan program for low-income homeowners  

SciTech Connect

The study explores the opportunities to create an interest subsidized residential retrofit loan program which would assist low-income homeowners to substantially reduce their utility bills. Energy conservation techniques which would be cost effective in a loan package were identified. The methodology used included a literature search to locate wherever possible actual measurements of energy and cost savings for areas of energy use and supply including furnace retrofits, water heating, appliances, lights, the effects of natural and mechanical ventilation, and the use of renewable energy sources such as solar space and water heating. An engineering/economic analysis of the options available through a 20 year loan program and at interest rates of 1, 3, and 6% was performed. It was found that substantial reductions in utility bills can be obtained with such a loan program. The information in the study would be useful to other income groups besides the poor. References and a list of information sources are included.

Eccli, E.

1977-10-01T23:59:59.000Z

187

Income Tax Evasion Dynamics: Evidence from an Agent-based Econophysics Model  

E-Print Network (OSTI)

We analyze income tax evasion dynamics in a standard model of statistical mechanics, the Ising model of ferromagnetism. However, in contrast to previous research, we use an inhomogeneous multi-dimensional Ising model where the local degrees of freedom (agents) are subject to a specific social temperature and coupled to external fields which govern their social behavior. This new modeling frame allows for analyzing large societies of four different and interacting agent types. As a second novelty, our model may reproduce results from agent-based models that incorporate standard Allingham and Sandmo tax evasion features as well as results from existing two-dimensional Ising based tax evasion models. We then use our model for analyzing income tax evasion dynamics under different enforcement scenarios and point to some policy implications.

Pickhardt, Michael

2011-01-01T23:59:59.000Z

188

DOE Solar Decathlon: The Ohio State University  

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

The Ohio State University The Ohio State University The Ohio State University's entry to the U.S. Department of Energy Solar Decathlon 2011 was enCORE. In an Aug. 16, 2013, blog post on the team website, team member Abbie Faust wrote that the house was being installed on West Campus near Chadwick Lake. enCORE placed fifth overall in Solar Decathlon 2011, won a first-place award in the Comfort Zone Contest, tied for first place in the Hot Water Contest, and took home a third-place finish in the Energy Balance Contest. Photo of enCORE at Solar Decathlon 2011. Enlarge image The enCORE house features living spaces built around a central mechanical core and was designed for a lower-income family with one child. (Credit: Jim Tetro/U.S. Department of Energy Solar Decathlon) Who: The Ohio State University

189

Upgrade energy building standards and develop rating system for existing low-income housing  

SciTech Connect

The city of Memphis Division of Housing and Community Development (HCD) receives grant funding each year from the U.S. Department of Housing and Urban Development (HUD) to provide local housing assistance to low-income residents. Through the years, HCD has found that many of the program recipients have had difficulty in managing their households, particularly in meeting monthly financial obligations. One of the major operating costs to low-income households is the utility bill. Furthermore, HCD`s experience has revealed that many low-income residents are simply unaware of ways to reduce their utility bill. Most of the HCD funds are distributed to low-income persons as grants or no/low interest loans for the construction or rehabilitation of single-family dwellings. With these funds, HCD builds 80 to 100 new houses and renovates about 500 homes each year. Houses constructed or renovated by HCD must meet HUD`s minimum energy efficiency standards. While these minimum standards are more than adequate to meet local building codes, they are not as aggressive as the energy efficiency standards being promoted by the national utility organizations and the home building industry. Memphis Light, Gas and Water (MLGW), a city-owned utility, has developed an award-winning program named Comfort Plus which promotes energy efficiency{open_quote} in new residential construction. Under Comfort Plus, MLGW models house plans on computer for a fee and recommends cost-effective alterations which improve the energy efficiency of the house. If the builder agrees to include these recommendations, MLGW will certify the house and guarantee a maximum annual heating/cooling bill for two years. While the Comfort Plus program has received recognition in the new construction market, it does not address the existing housing stock.

Muller, D.; Norville, C. [Memphis and Shelby County Div. of Planning and Development, TN (United States)

1993-07-01T23:59:59.000Z

190

Middle East and Central Asia Department Oil Prices, External Income, and Growth: Lessons from Jordan 1  

E-Print Network (OSTI)

This Working Paper should not be reported as representing the views of the IMF. The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate. This paper extends the long-run growth model of Esfahani et al. (2009) to a labor exporting country that receives large inflows of external income—the sum of remittances, FDI and general government transfers—from major oil-exporting economies. The theoretical model predicts real oil prices to be one of the main long-run drivers of real output. Using quarterly data between 1979 and 2009 on core macroeconomic variables for Jordan and a number of key foreign variables, we identify two long-run relationships: an output equation as predicted by theory and an equation linking foreign and domestic inflation rates. It is shown that real output in the long run is shaped by: (i) oil prices through their impact on external income and in turn on capital accumulation, and (ii) technological transfers through foreign output. The empirical analysis of the paper confirms the hypothesis that a large share of Jordan's output volatility can be associated with fluctuations in net income received from abroad. External factors, however, cannot be relied upon to provide similar growth stimuli in the future, and therefore it will be important to diversify the sources of growth in order to achieve a high and sustained level of income.

Prepared Kamiar Mohaddes; Mehdi Raissi

2011-01-01T23:59:59.000Z

191

Energy consumption and expenditure projections by income quintile on the basis of the Annual Energy Outlook 1997 forecast  

SciTech Connect

This report presents an analysis of the relative impacts of the base-case scenario used in the Annual Energy Outlook 1997, published by the US Department of Energy, Energy Information Administration, on income quintile groups. Projected energy consumption and expenditures, and projected energy expenditures as a share of income, for the period 1993 to 2015 are reported. Projected consumption of electricity, natural gas, distillate fuel, and liquefied petroleum gas over this period is also reported for each income group. 33 figs., 11 tabs.

Poyer, D.A.; Allison, T.

1998-03-01T23:59:59.000Z

192

Table HC1-3a. Housing Unit Characteristics by Household Income,  

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

3a. Housing Unit Characteristics by Household Income, 3a. Housing Unit Characteristics by Household Income, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.6 1.3 1.1 1.0 0.9 1.4 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.3 Census Region and Division Northeast ...................................... 20.3 3.3 4.2 4.9 7.8 2.6 6.8 6.4 New England .............................. 5.4 0.8 1.1 1.3 2.3 0.6 1.6 9.9 Middle Atlantic ............................ 14.8 2.6 3.2 3.5 5.6 2.0 5.2 7.7 Midwest ......................................... 24.5 3.7 5.2 6.8 8.9 2.8 7.4 5.8 East North Central ......................

193

United States  

Office of Legacy Management (LM)

300 300 84-ER-14 Vitreous State Laboratory... . --- 5rooo 84-ER-15 National Center for Chemical -. Research .,.,,,..,.,,,..*..ll...* --- 51000...

194

Estimations of Cloud Optical Thickness from Ground-Based Measurements of Incoming Solar Radiation in the Arctic  

Science Conference Proceedings (OSTI)

A technique for evaluation of cloud optical thickness (plant-parallel, homogeneous layer) from ground-based measurements of incoming solar irradiance using a simple radiation model is introduced. The sensitivities of downward and upward fluxes of ...

E. Leontyeva; K. Stamnes

1994-04-01T23:59:59.000Z

195

Own-price and income elasticities for household electricity demand : a survey of literature using meta-regression analysis.  

E-Print Network (OSTI)

??Maria Wist Langmoen Own-price and income elasticities for household electricity demand -A Literature survey using meta-regression analysis Economists have been modelling the electricity demand for… (more)

Langmoen, Maria Wist

2004-01-01T23:59:59.000Z

196

State Historical Tables for 2001 - 2003  

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

3 3 Released: November 23, 2010" "YEAR","STATE","ELECTRIC POWER INDUSTRY","OPERATING REVENUE (Dollars)","OPERATING EXPENSES (Dollars)","MAINTENANCE (Dollars)","DEPRECIATION (Dollars)","AMORTIZATION (Dollars)","TAXES (Dollars)","INCOME (Dollars) " 2001,"AK","Public Generating Utilities",111943315,102264618,9387481,39295128,514986,3739749,9678697 2001,"AR","Public Generating Utilities",246368630,212622546,9431249,22420097,0,16915413,33746084 2001,"AZ","Public Generating Utilities",3030812753,2527544405,147926114,220490131,248061352,80336985,503268348 2001,"CA","Public Generating Utilities",8603693112,7493606346,361997320,674090424,77723284,44864971,1110086766

197

State Historical Tables for 2001 - 2004  

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

4 4 Released: November 23, 2010 " "YEAR","STATE","ELECTRIC POWER INDUSTRY ","OPERATING REVENUE (Dollars)","OPERATING EXPENSES (Dollars)","MAINTENANCE (Dollars)","DEPRECIATION (Dollars)","AMORTIZATION (Dollars)","TAXES (Dollars)","INCOME (Dollars) " 2001,"AL","PUBLIC NON-GENERATING UTILITIES",929668740,876713550,23552342,28323485,21902,27740202,52955190 2001,"AR","PUBLIC NON-GENERATING UTILITIES",77541291,65685734,1885725,3099876,0,1918230,11855557 2001,"AZ","PUBLIC NON-GENERATING UTILITIES",86297510,75606888,989560,7217552,0,0,10690622 2001,"CA","PUBLIC NON-GENERATING UTILITIES",415854281,350700190,15665358,13782510,0,13671867,65154091

198

Project #: UM08-Q3Saving among Low-Income Women: Motivation and Obstacles  

E-Print Network (OSTI)

How do low-income households think about saving? What motivations do they identify for saving, and what obstacles to meeting their goals? We use data from qualitative interviews with 51 households in Detroit to shed light on these questions. We find that they wish they could save- primarily for protection against the unexpected or to put children through college- but that most of them cannot. Friends and family surface as a major obstacle to saving, since those who have liquid assets are asked for help. When savings is feasible in this population, it occurs

Helen Levy; Kristin Seefeldt; Helen Levy; Kristin Seefeldt; Ann Arbor; Andrea Fischer Newman; Ann Arbor; Andrew C. Richner; Grosse Pointe; Park S. Martin; Helen Levy; Kristin Seefeldt

2008-01-01T23:59:59.000Z

199

Design and Evaluation of a Net Zero Energy Low-Income Residential Housing Development in Lafayette, Colorado  

DOE Green Energy (OSTI)

This report outlines the lessons learned and sub-metered energy performance of an ultra low energy single family ranch home and duplex unit, called the Paradigm Pilot Project and presents the final design recommendations for a 153-unit net zero energy residential development called the Josephine Commons Project. Affordable housing development authorities throughout the United States continually struggle to find the most cost-effective pathway to provide quality, durable, and sustainable housing. The challenge for these authorities is to achieve the mission of delivering affordable housing at the lowest cost per square foot in environments that may be rural, urban, suburban, or within a designated redevelopment district. With the challenges the U.S. faces regarding energy, the environmental impacts of consumer use of fossil fuels and the increased focus on reducing greenhouse gas emissions, housing authorities are pursuing the goal of constructing affordable, energy efficient and sustainable housing at the lowest life-cycle cost of ownership. This report outlines the lessons learned and sub-metered energy performance of an ultra-low-energy single family ranch home and duplex unit, called the Paradigm Pilot Project and presents the final design recommendations for a 153-unit net zero energy residential development called the Josephine Commons Project. In addition to describing the results of the performance monitoring from the pilot project, this paper describes the recommended design process of (1) setting performance goals for energy efficiency and renewable energy on a life-cycle cost basis, (2) using an integrated, whole building design approach, and (3) incorporating systems-built housing, a green jobs training program, and renewable energy technologies into a replicable high performance, low-income housing project development model.

Dean, J.; VanGeet, O.; Simkus, S.; Eastment, M.

2012-03-01T23:59:59.000Z

200

Buildings Energy Data Book: 2.9 Low-Income Housing  

Buildings Energy Data Book (EERE)

7 7 Residential Energy Burdens, by Weatherization Eligibility and Year (1) 1987 Mean Mean Mean Mean Mdn Mean Mean Mdn Mean Group Indvdl Group Indvdl Indvdl Group Indvdl Indvdl Group Total U.S. Households 4.0% 6.8% 3.2% 6.1% 3.5% 2.4% 7.2% 4.4% 3.2% Federally Eligible 13.0% 14.4% 10.1% 12.1% 7.9% 7.7% 13.8% 9.6% 10.0% Federally Ineligible 4.0% 3.5% N.A. 3.0% 2.6% 2.0% 3.6% 3.1% 2.6% Below 125% Poverty Line 13.0% N.A. N.A. N.A. N.A. N.A. N.A. N.A. N.A. Note(s): Source(s): 1990 FY 2000 (2) FY 2009 (3) 1) Energy burden can be defined broadly as the burden placed on household incomes by the cost of energy, or the ratio of energy expenditures to income for a household. DOE Weatherization primarily uses mean individual burden and mean group burden since these statistics provide data on how an "average" individual household fares against an "average" group of households (that is, how burdens are

Note: This page contains sample records for the topic "median state income" 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

One Hundred Years of Oil Income and the Iranian Economy: A Curse or a Blessing?  

E-Print Network (OSTI)

This paper examines the impact of oil revenues on the Iranian economy over the past hundred years, spanning the period 1908–2010. It is shown that although oil has been produced in Iran over a very long period, its importance in the Iranian economy was relatively small up until the early 1960s. It is argued that oil income has been both a blessing and a curse. Oil revenues when managed appropriately are a blessing, but their volatility (which in Iran is much higher than oil price volatility) can have adverse e¤ects on real output, through excessively high and persistent levels of in‡ation. Lack of appropriate institutions and policy mechanisms which act as shock absorbers in the face of high levels of oil revenue volatility have also become a drag on real output. In order to promote growth, policies should be devised to control in‡ation; to serve as shock absorbers negating the adverse e¤ects of oil revenue volatility; to reduce rent seeking activities; and to prevent excessive dependence of government …nances on oil income. We are grateful to Parvin Alizadeh, Hassan Hakimian and conference participants at the University of

Kamiar Mohaddes A; M. Hashem Pesaran B

2013-01-01T23:59:59.000Z

202

Master lease & leaseback of government owned real estate : a model for a fixed income investment product  

E-Print Network (OSTI)

Throughout the United States, significant taxpayer capital is unnecessarily tied up in the ownership of state and municipal government buildings. Today, multiple state and municipal governments face record budget deficits, ...

Hutchinson, Jeffrey E. (Jeffrey Ernest), 1970-

2003-01-01T23:59:59.000Z

203

State Natural Gas Regulation Act (Nebraska) | Department of Energy  

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

State Natural Gas Regulation Act (Nebraska) State Natural Gas Regulation Act (Nebraska) State Natural Gas Regulation Act (Nebraska) < Back Eligibility Agricultural Commercial Construction Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Program Info State Nebraska Program Type Siting and Permitting Provider Public Service Commisssion This act gives the Nebraska Public Service Commission authority to regulate natural gas utilities and pipelines within the state, except as provided for in the Nebraska Natural Gas Pipeline Safety Act of 1969. Some

204

Geothermal Resources on State Lands (Montana) | Department of Energy  

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

Geothermal Resources on State Lands (Montana) Geothermal Resources on State Lands (Montana) Geothermal Resources on State Lands (Montana) < Back Eligibility Utility Fed. Government Commercial Agricultural Investor-Owned Utility State/Provincial Govt Industrial Construction Municipal/Public Utility Local Government Residential Installer/Contractor Rural Electric Cooperative Tribal Government Low-Income Residential Schools Retail Supplier Institutional Multi-Family Residential Systems Integrator Fuel Distributor Nonprofit General Public/Consumer Savings Category Buying & Making Electricity Program Info State Montana Program Type Leasing Program This chapter authorizes the leasing of state-owned lands for the development of geothermal resources, and provides regulations pertaining to the nature of the resources, compensation, and water rights, as well as for

205

United States  

Office of Legacy Management (LM)

- I - I United States Department of Energy D lSCk Al M E R "This book 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, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency

206

Volume State  

Gasoline and Diesel Fuel Update (EIA)

22 22 Volume State State or Country From/To Receipts/ Imports From Deliveries/ Exports To Net a Alabama Florida .................................................................. 0 722,558 -722,558 Georgia................................................................. 0 1,352,308 -1,352,308 Gulf of Mexico....................................................... 123,132 0 123,132 Mississippi ............................................................ 2,758,595 0 2,758,595 Tennessee............................................................ 1,744 764,749 -763,005 Total..................................................................... 2,883,471 2,839,615 43,856

207

State-Ocean City Beach Erosion Control District (Maryland) | Department of  

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

State-Ocean City Beach Erosion Control District (Maryland) State-Ocean City Beach Erosion Control District (Maryland) State-Ocean City Beach Erosion Control District (Maryland) < Back Eligibility Agricultural Commercial Construction Developer Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Maryland Program Type Siting and Permitting Provider Maryland Department of Natural Resources

208

United States  

Office of Legacy Management (LM)

Office of Research and EPA 600/R-941209 Environmental Protection Development January 1993 Agency Washington, DC 20460 Offsite Environmental 57,,7 Monitoring Report Radiation Monitoring Around United States Nuclear Test Areas, Calendar Year 1992 UNITED STATES ENVIRONMENTAL PROTECTION AGENCY OFFICE OF RESEARCH AND DEVELOPMENT ENVIRONMENTAL MONITORING SYSTEMS LABORATORY-LAS VEGAS P.O. BOX 93478 LAS VEGAS. NEVADA 891 93-3478 702/798-2100 Dear Reader: Since 1954, the U.S. Environmental Protection Agency (EPA) and its predecessor the U.S, Public Health Service (PHs) has conducted radiological monitoring in the offsite areas around United States nuclear test areas. The primary objective of this monitoring has been the protection of the health and safety of

209

United States  

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

BP Energy Company BP Energy Company OE Docket No. EA- 3 14 Order Authorizing Electricity Exports to Mexico Order No. EA-3 14 February 22,2007 BP Energy Company Order No. EA-314 I. BACKGROUND Exports of electricity from the United States to a foreign country are regulated by the Department of Energy (DOE) pursuant to sections 301(b) and 402(Q of the Department of Energy Organization Act (42 U.S.C. 7 15 l(b), 7172(f)) and require authorization under section 202(e) of the Federal Power Act (FPA) (16 U.S.C.S24a(e)) . On May 22,2006, BP Energy Company (BP Energy) applied to DOE for an authorization to transmit electric energy from the United States to Mexico as a power marketer. BP Energy proposes to purchase surplus electric energy from electric utilities and other suppliers within the United States and to export that energy to ~Mexico. The cnergy

210

State Summaries  

Gasoline and Diesel Fuel Update (EIA)

46. 46. Percent Distribution of Natural Gas Supply and Disposition by State, 1996 Table State Estimated Proved Reserves (dry) Marketed Production Total Consumption Alabama................................................................... 3.02 2.69 1.48 Alaska ...................................................................... 5.58 2.43 2.04 Arizona..................................................................... NA 0 0.55 Arkansas.................................................................. 0.88 1.12 1.23 California.................................................................. 1.25 1.45 8.23 Colorado .................................................................. 4.63 2.90 1.40 Connecticut.............................................................. 0 0 0.58 D.C...........................................................................

211

Buildings Energy Data Book: 2.9 Low-Income Housing  

Buildings Energy Data Book (EERE)

5 5 Weatherization Program Facts - PY 2010 weatherization funding breakdown: DOE 18.3%, LIHEAP 59.6%, others 22.1%.(1) - The Federal Government's outlay for fuel subsidies runs from $4.0 to 4.4 billion per year. The major two agencies dispensing fuel subsidies are HUD and HHS (through LIHEAP). - In 2006, HUD spent over $1.43 billion annually to pay all or part of the total utility bills (including water/sewer) for 1.2 million low-income units. Utilities (including water) made up approximately 23% of public housing authorities' expenditures. In addition, HUD estimates tenant expenditures on utilities (excluding water) at about $421 million in 2007. - LIHEAP spends 85% of its funding on direct fuel subsidies and weatherization. Up to 15% can be spent for weatherization

212

WEATHERIZING THE HOMES OF LOW-INCOME HOME ENERGY ASSISTANCE PROGRAM CLIENTS: A PROGRAMMATIC ASSESSMENT  

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

CON-486 CON-486 WEATHERIZING THE HOMES OF LOW-INCOME HOME ENERGY ASSISTANCE PROGRAM CLIENTS: A PROGRAMMATIC ASSESSMENT Bruce Tonn Richard Schmoyer Sarah Wagner OAK RIDGE NATIONAL LABORATORY DOCUMENT AVAILABILITY Reports produced after January 1, 1996, are generally available free via the U.S. Department of Energy (DOE) Information Bridge. Web site http://www.osti.gov/bridge Reports produced before January 1, 1996, may be purchased by members of the public from the following source. National Technical Information Service 5285 Port Royal Road Springfield, VA 22161 Telephone 703-605-6000 (1-800-553-6847) TDD 703-487-4639 Fax 703-605-6900 E-mail info@ntis.fedworld.gov Web site http://www.ntis.gov/support/ordernowabout.htm Reports are available to DOE employees, DOE contractors, Energy Technology Data Exchange (ETDE) representatives,

213

Retirement Saving with Contribution Payments and Labor Income as a Benchmark for Investments  

E-Print Network (OSTI)

In this paper we study the retirement saving problem from the point of view of a plan sponsor, who makes contribution payments for the future retirement of an employee. The plan sponsor considers the employee's labor income as investment-benchmark in order to ensure the continuation of consumption habits after retirement. We demonstrate that the demand for risky assets increases at low wealth levels due to the contribution payments. We quantify the demand for hedging against changes in wage growth and nd that it is relatively small. We show that downside-risk measures increase risk-taking at both low and high levels of wealth. Keywords: retirement saving, optimal asset allocation, discrete-time nance, dynamic programming. JEL Classications Codes: G11, G23. We are grateful to Bart Oldenkamp and Ton Vorst for comments on an earlier version of this paper. y Corresponding author: Erasmus University Rotterdam, Econometric Institute, P.O. Box 1738, 3000 DR Rotterdam, The Netherland...

Arjan Berkelaar; Roy Kouwenberg

1999-01-01T23:59:59.000Z

214

Shared savings and low income homeowners: Results of a demonstration project in Hennepin County  

SciTech Connect

In 1984 Hennepin County, with financial support from the US Department of Energy and as part of the Year Five energy program of the Urban Consortium's Energy Task Force, initiated a Residential Shared Savings Demonstration Project (RSSDP) for single family homeowners. Shared savings, or performance contracting, occurs when an energy service company (ESCo) finances and installs energy improvements in a customer's property and receives a share of the savings that result over time as their compensation. Chapter 1 of this report provides general background on the project, including a brief description of Hennepin County, the energy environment within which the project was conducted, and the Residential Shared Savings Demonstration Project. Chapter 2 describes the efforts to market the RSSDP to low income homeowners, the results of those efforts and the findings from an extensive market assessment effort. Chapter 3 summarizes the significant lessons learned during the project. 4 figs., 3 tabs.

Miller, R.D.; Ford, J.M.

1986-04-01T23:59:59.000Z

215

Technique for tracking the effect of weatherization retrofits on low-income housing  

SciTech Connect

This report presents a technique for analyzing the effect of energy saving retrofits installed in low-income housing under a nationwide weatherization demonstration program. A tracking technique, based on the calculated balance-point temperature of each home prior to the weatherization, was developed to estimate the would-be fuel consumption over a period of time if the house had not been weatherized. The savings in fuel consumption for a home can be determined from the difference between the actual usage after retrofit and the calculated usage if it were not retrofitted. Besides the overall reduction, the saving in energy usage during different time periods while the house is being weatherized can be visualized from the graphical representation of the tracking technique.

Chang, Y.L.; Grot, R.A.

1983-04-01T23:59:59.000Z

216

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

Science Conference Proceedings (OSTI)

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

Not Available

1993-11-01T23:59:59.000Z

217

The Impact of Carbon Control on Low-Income Household Electricity and Gasoline Expenditures  

SciTech Connect

In July of 2007 The Department of Energy's (DOE's) Energy Information Administration (EIA) released its impact analysis of 'The Climate Stewardship And Innovation Act of 2007,' known as S.280. This legislation, cosponsored by Senators Joseph Lieberman and John McCain, was designed to significantly cut U.S. greenhouse gas emissions over time through a 'cap-and-trade' system, briefly described below, that would gradually but extensively reduce such emissions over many decades. S.280 is one of several proposals that have emerged in recent years to come to grips with the nation's role in causing human-induced global climate change. EIA produced an analysis of this proposal using the National Energy Modeling System (NEMS) to generate price projections for electricity and gasoline under the proposed cap-and-trade system. Oak Ridge National Laboratory integrated those price projections into a data base derived from the EIA Residential Energy Consumption Survey (RECS) for 2001 and the EIA public use files from the National Household Transportation Survey (NHTS) for 2001 to develop a preliminary assessment of impact of these types of policies on low-income consumers. ORNL will analyze the impacts of other specific proposals as EIA makes its projections for them available. The EIA price projections for electricity and gasoline under the S.280 climate change proposal, integrated with RECS and NHTS for 2001, help identify the potential effects on household electric bills and gasoline expenditures, which represent S.280's two largest direct impacts on low-income household budgets in the proposed legislation. The analysis may prove useful in understanding the needs and remedies for the distributive impacts of such policies and how these may vary based on patterns of location, housing and vehicle stock, and energy usage.

Eisenberg, Joel Fred [ORNL

2008-06-01T23:59:59.000Z

218

The Impact of Carbon Control on Low-Income Household Electricity and Gasoline Expenditures  

SciTech Connect

In July of 2007 The Department of Energy's (DOE's) Energy Information Administration (EIA) released its impact analysis of 'The Climate Stewardship And Innovation Act of 2007,' known as S.280. This legislation, cosponsored by Senators Joseph Lieberman and John McCain, was designed to significantly cut U.S. greenhouse gas emissions over time through a 'cap-and-trade' system, briefly described below, that would gradually but extensively reduce such emissions over many decades. S.280 is one of several proposals that have emerged in recent years to come to grips with the nation's role in causing human-induced global climate change. EIA produced an analysis of this proposal using the National Energy Modeling System (NEMS) to generate price projections for electricity and gasoline under the proposed cap-and-trade system. Oak Ridge National Laboratory integrated those price projections into a data base derived from the EIA Residential Energy Consumption Survey (RECS) for 2001 and the EIA public use files from the National Household Transportation Survey (NHTS) for 2001 to develop a preliminary assessment of impact of these types of policies on low-income consumers. ORNL will analyze the impacts of other specific proposals as EIA makes its projections for them available. The EIA price projections for electricity and gasoline under the S.280 climate change proposal, integrated with RECS and NHTS for 2001, help identify the potential effects on household electric bills and gasoline expenditures, which represent S.280's two largest direct impacts on low-income household budgets in the proposed legislation. The analysis may prove useful in understanding the needs and remedies for the distributive impacts of such policies and how these may vary based on patterns of location, housing and vehicle stock, and energy usage.

Eisenberg, Joel Fred [ORNL

2008-06-01T23:59:59.000Z

219

Chesapeake Bay Preservation Programs (Multiple States) | Department of  

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

Chesapeake Bay Preservation Programs (Multiple States) Chesapeake Bay Preservation Programs (Multiple States) Chesapeake Bay Preservation Programs (Multiple States) < Back Eligibility Agricultural Commercial Construction Developer Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Maryland Program Type Siting and Permitting Provider Chesapeake Bay Program The Chesapeake Bay Program is a unique regional partnership that has led

220

Little Missouri State Scenic River Act (North Dakota) | Department of  

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

Little Missouri State Scenic River Act (North Dakota) Little Missouri State Scenic River Act (North Dakota) Little Missouri State Scenic River Act (North Dakota) < Back Eligibility Utility Fed. Government Commercial Agricultural Investor-Owned Utility State/Provincial Govt Industrial Construction Municipal/Public Utility Local Government Residential Installer/Contractor Rural Electric Cooperative Tribal Government Low-Income Residential Schools Retail Supplier Institutional Multi-Family Residential Systems Integrator Fuel Distributor Nonprofit General Public/Consumer Transportation Savings Category Water Buying & Making Electricity Program Info State North Dakota Program Type Siting and Permitting This legislation aims to preserve the Little Missouri River in its present, free-flowing natural condition. The Little Missouri River Commission is

Note: This page contains sample records for the topic "median state income" from the National Library of EnergyBeta (NLEBeta).
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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

Sabine River Compact (Multiple States) | Department of Energy  

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

Sabine River Compact (Multiple States) Sabine River Compact (Multiple States) Sabine River Compact (Multiple States) < Back Eligibility Utility Fed. Government Commercial Agricultural Investor-Owned Utility State/Provincial Govt Industrial Construction Municipal/Public Utility Local Government Residential Installer/Contractor Rural Electric Cooperative Tribal Government Low-Income Residential Schools Retail Supplier Institutional Multi-Family Residential Systems Integrator Fuel Distributor Nonprofit General Public/Consumer Transportation Savings Category Water Buying & Making Electricity Home Weatherization Program Info State Texas Program Type Siting and Permitting Provider Sabine River Compact Commission The Sabine River Compact Commission administers the Sabine River Compact to ensure that Texas receives its equitable share of quality water from the

222

Effects on minority and low-income households of the EPA proposal to reduce leaded gasoline use  

DOE Green Energy (OSTI)

To reduce the potentially harmful environmental effects of lead in the environment, the US Environmental Protection Agency (EPA) has proposed a reduction in the amount of lead used in leaded gasoline. This report examines the potential impacts of such action on minority and low-income households in the US. The benefits of the EPA's proposal would presumably accrue primarily to households that contain small children and that are located in the central cities of metropolitan areas. This is because small children (under age seven) are particularly susceptible to the effects of lead and also because the automobile traffic density in central cities is higher than in any other area. Potential costs are examined in terms of households that own vehicles requiring leaded gasoline. Costs could accrue either because of higher gasoline prices due to reduced lead content or because of higher vehicle repair costs for engines that must use leaded gasoline to prevent excessive wear. Because of their location and number, minority and low-income households with small children would benefit more than the average US household. No costs would be incurred by the relatively large segment of minority and low-income households that own no vehicles. However, the Hispanic and other minority (except black) and low-income households that do own vehicles have a greater than average share of vehicles that require leaded gasoline; costs to these households because of the EPA's proposed action would be comparatively high.

Rose, K.; LaBelle, S.; Winter, R.; Klein, Y.

1985-04-01T23:59:59.000Z

223

United States  

Office of Legacy Management (LM)

WASHINGTON, TUESDAY, JUNE 28, 1983 @nngmeional Ruord United States of America .__ -- . . ,- PROCEEDINGS AND DEBATES OF THE 9@ CONGRESS, FIRST SESSION United States Government Printing Office SUPERINTENDENT OF DOCUMENTS Washmgton, D C 20402 OFFICIAL BUSINESS Penalty Ior pwate use. $xX Congresstonal Record (USPS 087-390) Postage and Fees Pad U S Government Prlnhng 0ffv.X 375 SECOND CLASS NEWSPAPER H.4578 ' C.QNGRESSIONAL RECORD - HOUSE June 28, 1983 H.J. Res. 273: Mr. BOUND. Mr. W~.XMAN. Mr. OBERSTAR, Mr. BEDELL. Mr. BONER of Tennessee, Mr. OWENS. Mr. DAUB, Mr. CONTE. Mr. RAHALL; Mr. GRAY, Mr. VANDER JACT. Mr. TRAKLER, and Mr. Vxrrro. H. Con. Res. 107: Mr. KASICH. Mr. AUCOIN. Mr. CARPER, and Mr. SIZHFIJER. H. Con. Res. 118: Mr. FISH. Mr. LANTOS.

224

United States  

Office of Legacy Management (LM)

ongrees;ional Record ongrees;ional Record United States of America __._ -.. I. :- PROCEEDINGS AND DEBATES OF THE 9tth CONGRESS, FIRST SESSION United States Government Printing Office SUPERINTENDENT OF DOCUMENTS Washmcqton. Cl C 20402 OFFICIAL BUSINESS Penalty Ior pwate use. $300 Congressmal Record (USPS 087-390) Postage and Fees Pad U S Governme3n:jPnntmg OfIce SECOND CLASS NEWSPAPER H.4578 ' June 28, 1983 -: I H.J. Res. 273: Mr. BOLAND, Mr. WA-. Mr. OBERSTAFC, M' r. BEDELL, Mr. BONER of Tennessee, Mr. OWENS. Mr. DAUB. Mr. CONTE. Mr. RAHALL,. Mr. GRAY, Mr. VANDER JAGT. Mr. TRAKLER. and Mr. VENTO. H. Con. Res. iO7: Mr. KASICH. Mr. ALCOIN. Mr. CARPER. and Mr. SCHEUER. H. Con. Res. 118: Mr. FISH, Mr. LANTOS. Mr. KILDEE. Mr. SOLARZ Mr. Bmrr, Mr. BELWLL, Mr. RANG~L, Mr. DYMALLY. Mr.

225

United States  

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

E-T Global Energy, LLC E-T Global Energy, LLC OE Docket No. EA-381 Order Authorizing Electricity Exports to Mexico Order No. EA-381 June 10, 2011 I. BACKGROUND E-T Global Energy, LLC Order No. EA-381 Exports of electricity from the United States to a foreign country are regulated by the Department of Energy (DOE) pursuant to sections 301(b) and 402(f) of the Department ofEnergy Organization Act (42 U.S.C. 7151(b), 7172(f)) and require authorization under section 202(e) ofthe Federal Power Act (FPA) (16 U.S.C.824a(e)) 1 * On May 10,2011, DOE received an application from E-T Global Energy, LLC (E-T Global) for authority to transmit electric energy from the United States to Mexico for five years as a power marketer using existing international transmission facilities. E-

226

United States  

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

Bangor Hydro-Electric Company Bangor Hydro-Electric Company OE Docket No. PP-89-1 Amendment to Presidential Permit Order No. PP-89-1 December 30,2005 PRESIDENTIAL PERMIT AMENDMENT Bangor Hydro-Electric Company Order No. PP-89-1 I. BACKGROUND The Department of Energy (DOE) has responsibility for implementing Executive Order (E.O.) 10485, as amended by E.O. 12038, which requires the issuance of a Presidential permit by DOE before electric trans~nission facilities may be constructed, operated, maintained, or connected at the borders of the United States. DOE may issue such a permit if it determines that the permit is in the public interest and after obtaining favorable recommendations from the U.S. Departments of State and Defense. On December 16, 1988, Bangor Hydro-Electric Company (BHE) applied to DOE

227

Roundtable on prevention of fraud and abuse in low income weatherization programs, March 23--24, 1987, Highland Hotel, Washington, DC  

SciTech Connect

This report contains: Identification of Issues and Preventive Measures Associated with Fraud and Abuse in Low Income Conservation Programs; Working Papers Prepared by Roundtable Discussants; Annotated Bibliography of Publications Related to Prevention/Detection of Fraud and Abuse in DOE and LIHEAP Conservation Programs; and List of Members on Task Force for Prevention of Fraud and Abuse in Low Income Weatherization Programs.

1987-01-01T23:59:59.000Z

228

United States  

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

5 5 United States Department of Energy Southeastern Power Administration Wholesale Power Rate Schedule CC-1-I Availability: This rate schedule shall be available to public bodies and cooperatives served through the facilities of Carolina Power & Light Company, Western Division (hereinafter called the Customers). Applicability: This rate schedule shall be applicable to electric capacity and energy available from the Dale Hollow, Center Hill, Wolf Creek, Cheatham, Old Hickory, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereinafter called collectively the "Cumberland Projects") and sold in wholesale quantities. Character of Service: The electric capacity and energy supplied hereunder will be three-phase alternating

229

South Dakota State Regulations  

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

Technology Identification Home Federal and State Regulations State Regulations South Dakota State Regulations: South Dakota State of South Dakota The South Dakota...

230

United States  

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

TexMex Energy, LLC TexMex Energy, LLC OE Docket No. EA-294-A Order Authorizing Electricity Exports to Mexico Order No. EA-294-A February 22, 2007 TexMex Energy, LLC Order No. EA-294-A I. BACKGROUND Exports of electricity from the United States to a foreign count~y are regulated by the Department of Energy (DOE) pursuant to sections 301(b) and 402(f) of the Department of Energy Organization Act (42 U.S.C. 7 15 1 (b), 71 72(f)) and require authorization under section 202(e) of the Federal Power Act (FPA) (16 U.S.C.824a(e)) . On August 25,2004, DOE issued Order No. EA-294 authorizing TexMex Energy LLC (TexMex) to transmit electric energy fiom the United States to Mexico as a power marketer. That authority expired on August 25, 2006. On September 8, 2006, TexMex applied to renew the electricity export authority

231

State Volume  

Gasoline and Diesel Fuel Update (EIA)

Volume of Natural Gas Delivered to Processing Plants (million cubic feet) Total Liquids Extracted (thousand barrels) Extraction Loss Located Within the State Located Outside of the State Total Processed Volume (million cubic feet Estimated Heat Content (billion Btu) Alabama...................... 111,656 2,614 114,270 4,476 5,810 18,610 Alaska ......................... 2,987,364 0 2,987,364 33,346 38,453 148,444 Arkansas..................... 214,868 161 215,029 237 474 977 California..................... 240,566 0 240,566 9,798 12,169 41,037 Colorado ..................... 493,748 1,249 494,997 16,891 23,420 63,411 Florida......................... 5,900 0 5,900 1,130 1,143 4,202 Illinois.......................... 578 0 578 63 64 271 Kansas........................ 825,825 2,731 828,556 30,617 41,115 120,221 Kentucky .....................

232

United States  

Gasoline and Diesel Fuel Update (EIA)

United States United States Coal ................................................ 4,367 4,077 4,747 4,181 4,473 4,125 4,983 4,330 4,414 4,003 4,796 4,178 4,344 4,479 4,348 Natural Gas .................................... 2,802 2,843 3,694 2,863 2,713 2,880 3,636 2,707 2,792 2,972 3,815 2,849 3,052 2,986 3,109 Petroleum (a) .................................. 74 73 81 67 73 70 75 66 75 70 76 66 74 71 71 Other Gases ................................... 32 33 36 32 32 34 37 33 33 35 39 34 33 34 35 Nuclear ........................................... 2,176 2,044 2,257 2,170 2,106 2,037 2,167 2,010 2,144 2,074 2,206 2,055 2,162 2,080 2,120 Renewable Energy Sources: Conventional Hydropower ........... 736 886 716 633 765 887 708 646 767 919 729 659 742 751 768 Wind ............................................ 491 520 353 449 477 521 379 475

233

United States  

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

Tenaslta Power Services Co. Tenaslta Power Services Co. OE Docket No. EA-243-A Order Authorizing Electricity Exports to Canada Order No. EA-243-A March 1,2007 Tenaska Power Services Co. Order No. EA-243-A I. BACKGROUND Exports of elcctricity from the United States to a foreign country are regulated by the Department of Energy (DOE) pursuant to sections 30 I(b) and 402(f) of the Departrncnt of' Energy Organizatio~l Act (42 U, S.C. 7 15 1 (b), 7 1 72Cf)) and rcquirc authorization under section 202(e) of the Federal Power Act (FPA) ( Z 6 U. s.c.824a(e)j1. On August 16,2001, DOE issued Order No. EA-243 authorizing Tenaska Power Scrvices Co. (Tenaska) to transmit electric cncrgy from the United States to Canada as a power marketer. That authority expired on August 16,2003. On August 14,2006, Teilaska applied to renew the electricity export authority

234

Making It Happen: Achieving Energy Efficiency in Multi-Family Buildings Housing Low-Income Tenants  

E-Print Network (OSTI)

Saving energy in multi-family buildings is a comparatively easy task to accomplish in theory: engineering science has shown us how to reduce heatloss and air infiltration, how to balance systems and improve heating plant efficiency, and how to capture warmth from the air, the earth and the sea. But getting this knowledge into multi-family buildings and making them energy efficient in fact is very difficult, especially if those buildings house low-income and elderly tenants, the people for whom saving energy is most urgent. Energy practitioners have found that multifamily building owners are not buying energy efficiency because it is not being marketed intelligently; affordable financing is very difficult to obtain, and energy education tailored to the needs of owners, occupants and maintenance crews is practically unknown. This paper discusses how four non-profit energy companies, located in major cities, overcame these obstacles. It explains how they market energy conservation improvements, how they finance them, and how they involve tenants in energy education; i.e., how they make energy efficiency happen in multifamily buildings.

Haun, C. R.

1985-01-01T23:59:59.000Z

235

Integrating Photovoltaic Systems into Low-Income Housing Developments: A Case Study on the Creation of a New Residential Financing Model and Low-Income Resident Job Training Program, September 2011 (Brochure)  

DOE Green Energy (OSTI)

This case study covers the process of successfully integrating photovoltaic (PV) systems into a low-income housing development in northeast Denver, Colorado, focusing specifically on a new financing model and job training. The Northeast Denver Housing Center (NDHC), working in cooperation with Del Norte Neighborhood Development Corporation, Groundwork Denver, and the National Renewable Energy Laboratory (NREL), was able to finance the PV system installations by blending private equity funding with utility rebates, federal tax credits, and public sector funding. A grant provided by the Governor's Energy Office allowed for the creation of the new financing model. In addition, the program incorporated an innovative low-income job training program and an energy conservation incentive program.

Dean, J.; Smith-Dreier, C.; Mekonnen, G.; Hawthorne, W.

2011-09-01T23:59:59.000Z

236

Integrating Photovoltaic Systems into Low-Income Housing Developments: A Case Study on the Creation of a New Residential Financing Model and Low-Income Resident Job Training Program, September 2011 (Brochure)  

SciTech Connect

This case study covers the process of successfully integrating photovoltaic (PV) systems into a low-income housing development in northeast Denver, Colorado, focusing specifically on a new financing model and job training. The Northeast Denver Housing Center (NDHC), working in cooperation with Del Norte Neighborhood Development Corporation, Groundwork Denver, and the National Renewable Energy Laboratory (NREL), was able to finance the PV system installations by blending private equity funding with utility rebates, federal tax credits, and public sector funding. A grant provided by the Governor's Energy Office allowed for the creation of the new financing model. In addition, the program incorporated an innovative low-income job training program and an energy conservation incentive program.

Dean, J.; Smith-Dreier, C.; Mekonnen, G.; Hawthorne, W.

2011-09-01T23:59:59.000Z

237

United States  

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

7 7 United States Department of Energy Southeastern Power Administration Wholesale Power Rate Schedule CTV-1-H Availability: This rate schedule shall be available to the Tennessee Valley Authority (hereinafter called TVA). Applicability: This rate schedule shall be applicable to electric capacity and energy generated at the Dale Hollow, Center Hill, Wolf Creek, Old Hickory, Cheatham, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereafter called collectively the "Cumberland Projects") and the Laurel Project sold under agreement between the Department of Energy and TVA. Character of Service: The electric capacity and energy supplied hereunder will be three-phase alternating current at a frequency of approximately 60 hertz at the outgoing terminals of the Cumberland

238

United States  

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

United States Department of Energy Southeastern Power Administration Wholesale Power Rate Schedule CTVI-1-A Availability: This rate schedule shall be available to customers (hereinafter called the Customer) who are or were formerly in the Tennessee Valley Authority (hereinafter called TVA) service area. Applicability: This rate schedule shall be applicable to electric capacity and energy generated at the Dale Hollow, Center Hill, Wolf Creek, Old Hickory, Cheatham, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereafter called collectively the "Cumberland Projects") and the Laurel Project sold under agreement between the Department of Energy and the Customer. Character of Service: The electric capacity and energy supplied hereunder will be three-phase alternating

239

UNITED STATES  

Office of Legacy Management (LM)

f).~<~~ \--\c :y-,ai F p"- KG f).~<~~ \--\c :y-,ai F p"- KG WASHINOTDN 28.0. C. ' -lr ' \ ' ' --- ".I ?--" ' z I. .~;-4.' J frr*o& 2 ii, - - -4 70-147 LRL:JCD JAN !! 8 1958 Oregon Metallurgical Corporation P. 0. Box 484 Albany, Oregon Attention: Mr. Stephen M. Shelton General Manager Gentlemen: Enclosed is Special Nuclear Material License No. SNM-144, as amended. Very 33uly yours, r:; I,;, ll)~gQ""d".- Lyall Johnson Chief, Licensing Branch Division of Licensing & Regulation Enclosure: SNM-144, as amended Distribution: bRO0 Attn: Dr. H.M.Roth DFMusser NMM MMMann INS JCRyan FIN (2) HSteele LRL SRGustavson LRL Document room Formal file Suppl. file Br & Div rf's ' .b liwwArry s/VW- ' q+ ' yj/ 2; 2-' , COP' 1 J JAM01958 -- UNITED STATES ATOMIC ENERGY COMMISSION

240

United States  

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

United States Department of Energy Southeastern Power Administration Wholesale Power Rate Schedule JW-2-F Availability: This rate schedule shall be available to the Florida Power Corporation (or Progress Energy Florida, hereinafter called the Company). Applicability: This rate schedule shall be applicable to electric energy generated at the Jim Woodruff Project (hereinafter called the Project) and sold to the Company in wholesale quantities. Points of Delivery: Power sold to the Company by the Government will be delivered at the connection of the Company's transmission system with the Project bus. Character of Service: Electric power delivered to the Company will be three-phase alternating current at a nominal frequency of 60 cycles per second.

Note: This page contains sample records for the topic "median state income" 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

An Analysis of Low Cost, Energy Efficient, Housing for Low-income Residents of How and Humid Climates  

E-Print Network (OSTI)

The purpose of this research is to develop methods that will enable the reduction of owning and operating costs of low-income housing in the hot-humid climates of the U. S. The objectives include investigating various scenarios that will enable the implementation of cost-effective construction of low-income housing using volunteer labor. The research uses a case study approach where a base-line energy use is established using a comparative Princeton Score Keeping Method (PRISM) analysis and measurements from a case study house. A prototype house is then simulated with the DOE-2 building simulation program, and the energy savings calculated by comparing simulated energy and water conservation design measures (E&WCDMs) with the calibrated baseline energy simulation. The cost and maintenance of the house are analyzed with the real cost of construction of a case study house in Bryan/College Station, Texas.

Kootin-Sanwu, Victor

2004-05-01T23:59:59.000Z

242

Design and Evaluation of a Net Zero Energy Low-Income Residential Housing Development in Lafayette, Colorado  

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

Design and Evaluation of a Design and Evaluation of a Net Zero Energy Low-Income Residential Housing Development in Lafayette, Colorado Jesse Dean and Otto VanGeet National Renewable Energy Laboratory Scott Simkus Boulder County Housing Authority Mark Eastment Mountain Energy Partnership Technical Report NREL/TP-7A40-51450 March 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 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Design and Evaluation of a Net Zero Energy Low-Income Residential Housing Development in Lafayette,

243

States | Data.gov  

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

States States Data Apps Challenges Policies States Welcome to States.Data.gov Bridging information from across the United States. Look at the data, use the apps, join the...

244

Patterns of residential energy demand by type of household: white, black, Hispanic, and low- and nonlow-income  

SciTech Connect

This report compares patterns of residential energy use by white, black, Hispanic, low-income, and nonlow-income households. The observed downward trend in residential energy demand over the period of this study can be attributed primarily to changes in space-heating energy demand. Demand for space-heating energy has experienced a greater decline than energy demand for other end uses for two reasons: (1) it is the largest end use of residential energy, causing public attention to focus on it and on strategies for conserving it; and (2) space-heating expenditures are large relative to other residential energy expenditures. The price elasticity of demand is thus greater, due to the income effect. The relative demand for space-heating energy, when controlled for the effect of climate, declined significantly over the 1978-1982 period for all fuels studied. Income classes do not differ significantly. In contrast, black households were found to use more energy for space heating than white households were found to use, although those observed differences are statistically significant only for houses heated with natural gas. As expected, the average expenditure for space-heating energy increased significantly for dwellings heated by natural gas and fuel oil. No statistically significant increases were found in electricity expenditures for space heating. Electric space heat is, in general, confined to milder regions of the country, where space heating is relatively less essential. As a consequence, we would expect the electricity demand for space heating to be more price-elastic than the demand for other fuels.

Klein, Y.; Anderson, J.; Kaganove, J.; Throgmorton, J.

1984-10-01T23:59:59.000Z

245

Microsoft Word - Final Rpt for the State of Maryland FORMATTED  

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

Maryland Maryland OAS-RA-13-07 January 2013 Department of Energy Washington, DC 20585 January 17, 2013 MEMORANDUM FOR THE ASSISTANT SECRETARY FOR ENERGY EFFICIENCY AND RENEWABLE ENERGY FROM: Rickey R. Hass Deputy Inspector General for Audits and Inspections Office of Inspector General SUBJECT: INFORMATION: Audit Report on "The Department of Energy's Weatherization Assistance Program Funded under the American Recovery and Reinvestment Act for the State of Maryland" BACKGROUND The Department of Energy's (Department) Weatherization Assistance Program received $5 billion under the American Recovery and Reinvestment Act of 2009 (Recovery Act) to improve the energy efficiency of residences owned or occupied by low-income persons. The

246

State solar energy incentives primer: a guide to selection and design  

DOE Green Energy (OSTI)

Basic design principles are discussed for the creation of several types of state financial incentives and the major advantages and disadvantages of a number of incentive options are cited. The financial incentives included are income tax strategies, loan programs, property tax exemptions, and excise/sales tax exemptions. Information is cited to maximize the effectiveness of solar energy programs. Four basic elements of a state solar energy program are program planning; institutional barriers mitigation; research, development, and demonstration projects; and information outreach efforts. A matrix of state solar legislation by type is shown and organizational contacts are listed. (MHR)

None

1979-12-01T23:59:59.000Z

247

Marketing Compost A Guide for Compost Producers in Low and Middle-Income Countries  

E-Print Network (OSTI)

-Nizarazu, Department of crop and Soil Science, Oregon state university, Corvallis, OR 97331, USA Theor Appl Genet (2001 Chromosome analysis and sorting was performed using a FAC- Vantage flow cytometer and sorter (Becton

Richner, Heinz

248

Bringing good things to life : New Markets Tax Credits and the opening of low-income communities to investment, including a case study of Pittsfield, Massachusetts  

E-Print Network (OSTI)

The New Markets Tax Credit (NMTC) Program is designed to promote investment and economic growth in urban and rural low-income communities across the country. Created in 2000 as one of the last acts of the Clinton Administration, ...

McGrath, Daniel J., S.M. Massachusetts Institute of Technology

2008-01-01T23:59:59.000Z

249

state and local government  

Science Conference Proceedings (OSTI)

... State Net - A source of information on bills and state agency regulations in the 50 states, District of Columbia and Congress. ...

2012-12-13T23:59:59.000Z

250

Mississippi State Regulations  

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

Mississippi State Regulations: Mississippi State of Mississippi The Mississippi State Oil and Gas Board (MSOGB), an independent agency, promulgates and enforces rules to regulate...

251

FASB Statement No. 109, Accounting for Income Taxes APB Statement No. 3, Financial Statements Restated for General Price-Level Changes AICPA Statement of Position 93-3, Rescission of Accounting Principles Board Statements ISSUE  

E-Print Network (OSTI)

Enterprises located in countries with highly inflationary economies may prepare financial statements restated for general price-level changes in accordance with generally accepted accounting principles in the United States. The tax bases of assets and liabilities of those enterprises are often restated for the effects of inflation. For those enterprises, the issues are: 1. How temporary differences should be computed under Statement 109 2. How deferred income tax expense or benefit for the year should be determined. EITF DISCUSSION The Task Force reached a consensus that when preparing financial statements restated for general price-level changes using end-of-current-year purchasing power units, temporary differences under Statement 109 are determined based on the difference between the indexed tax basis amount of the asset or liability and the related price-level restated amount reported in the financial statements. Copyright © 1993, Financial Accounting Standards Board Not for redistribution

unknown authors

1993-01-01T23:59:59.000Z

252

State of Connecticut Connecticut State Library  

E-Print Network (OSTI)

to all employees of state agencies within the executive department, towns, cities, boroughs, districts, and §7-109 of the General Statutes of Connecticut (CGS). Definitions "Agency" means a state agencyState of Connecticut Connecticut State Library Office of the Public Records Administrator www

Holsinger, Kent

253

State Laboratory Contacts IL  

Science Conference Proceedings (OSTI)

State Laboratory Contact Information IL. Idaho. ... State of Iowa Metrology Laboratory Ellsworth Community College 1100 College Ave. ...

2013-11-07T23:59:59.000Z

254

State Laboratory Contacts DH  

Science Conference Proceedings (OSTI)

State Laboratory Contact Information DH. District of Columbia. ... Lab Closed See State Director's List. No Certificate. Delaware. ...

2013-10-24T23:59:59.000Z

255

Funding for state, city, and county governments in the state...  

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

Funding for state, city, and county governments in the state includes: Funding for state, city, and county governments in the state includes: Funding for state, city, and county...

256

Economic and environmental impacts of the corn grain ethanol industry on the United States agricultural sector  

Science Conference Proceedings (OSTI)

This study evaluated the impacts of increased ethanol production from corn starch on agricultural land use and the environment in the United States. The Policy Analysis System simulation model was used to simulate alternative ethanol production scenarios for 2007 through 2016. Results indicate that increased corn ethanol production had a positive effect on net farm income and economic wellbeing of the US agricultural sector. In addition, government payments to farmers were reduced because of higher commodity prices and enhanced net farm income. Results also indicate that if Conservation Reserve Program land was converted to crop production in response to higher demand for ethanol in the simulation, individual farmers planted more land in crops, including corn. With a larger total US land area in crops due to individual farmer cropping choices, total US crop output rose, which decreased crop prices and aggregate net farm income relative to the scenario where increased ethanol production happened without Conservation Reserve Program land. Substantial shifts in land use occurred with corn area expanding throughout the United States, especially in the traditional corn-growing area of the midcontinent region.

Larson, J.A.; English, B.C.; De La Torre Ugarte, D. G.; Menard, R.J.; Hellwinckel, C.M.; West, Tristram O.

2010-09-10T23:59:59.000Z

257

Validation of the National Energy Audit (NEAT) with data from a gas utility low-income residential weatherization program in New York State  

SciTech Connect

This study uses two approaches to the validation of the National Energy Audit (NEAT). The first consists of comparisons of audit-predicted savings to savings observed in a pre- and post-retrofit analysis of metered gas consumption. Here, realization rates, which are the ratio of measured savings to audit-predicted savings, are examined for 49 houses to determine how accurately NEAT predicts savings in a field setting. The second approach involves assessing the accuracy of NEAT`s internal algorithms by comparing its results to those obtained with another engineering model, DOE-2.1E, which is an industry standard. In this analysis, both engineering models are applied to two houses, using the same building description data, and measure-specific estimates of savings are compared. 12 figs., 11 tabs.

Gettings, M.B.; Berry, L.G. [Oak Ridge National Lab., TN (United States); Beyer, M.A.; Maxwell, J.B. [Aspen Systems Corp., Oak Ridge, TN (United States)

1998-01-01T23:59:59.000Z

258

Background - State Data Reporting  

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

State Data Reporting State-reported motor fuel data is a critical component of the process that distributes HTF monies to the States. Currently, motor-fuel-based apportionment...

259

Survey of state approaches to solar energy incentives  

DOE Green Energy (OSTI)

A comprehensive survey is presented of state statutes designed to encourage the application of solar technology. A large majority of the states have enacted financial incentives designed to stimulate solar energy use. Commonly, these incentives include preferential property tax treatment of solar systems, and income tax benefits to solar users. There are a wide variety of other tax breaks as well, including excise and franchise tax incentives. Some states have recently developed loan or grant programs for solar installations. Other states have addressed aspects of real property and land-use planning law, which have served as barriers to either the installation of solar technology or access to sunlight. In addition to removing such obstacles as restrictive convenants and zoning limitations, the legislation of several states provides affirmative recognition of the potential of real property law to serve as a spur to solar development, through solar easements, planning and zoning, and public nuisance. A small number of states have legislated in the field of utility regulation, addressing important questions of (1) nondiscriminatory rates for utility backup to solar systems and public utility commissions, and (2) utility involvement in solar energy applicatons.

Johnson, S. B.

1979-07-01T23:59:59.000Z

260

Charge state simulation  

Science Conference Proceedings (OSTI)

... The charge state balance (eg, the population of different charge states) inside the EBIT is determined by the balance between the different ...

2010-12-07T23:59:59.000Z

Note: This page contains sample records for the topic "median state income" 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

finite state machine  

Science Conference Proceedings (OSTI)

... Moore machine), multiple start states, transitions conditioned on no input symbol (a null) or more than one transition for a given symbol and state ( ...

2013-11-08T23:59:59.000Z

262

United States Government  

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

to this report. INTRODUCTION AND OBJECTIVE The European Laboratory for Particle Physics, CERN, in collaboration with the United States (U.S.) and other non-member states,...

263

Virginia State Energy Profile  

U.S. Energy Information Administration (EIA)

The State’s two nuclear power plants provided 38 percent of the net electricity generation ... Storage : 8,111 million cu ft ... energy demand is distributed fairly ...

264

Alaska State Regulations  

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

Alaska State Regulations: Alaska State of Alaska The Alaska Oil and Gas Conservation Commission (AOGCC) regulates the drilling for and production of oil and gas resources, the...

265

Arizona State Regulations  

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

Arizona State Regulations: Arizona State of Arizona The Arizona Geological Survey (AZGS) Oil and Gas Conservation Commission (OGCC) regulates the drilling for and production of...

266

" Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"  

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

8 Water Heating Characteristics by Household Income, 2005" 8 Water Heating Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Water Heating Characteristics" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Number of Water Heaters" "1.",106.3,25.8,28,19.6,12.7,20.2,16,37.3 "2 or More",3.7,0.3,0.5,0.9,0.4,1.7,"Q",0.5 "Do Not Use Hot Water",1.1,0.6,0.3,"Q","N","Q",0.5,0.8

267

" Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"  

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

Housing Unit Characteristics by Household Income, 2005" Housing Unit Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Housing Unit Characteristics" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Census Region and Division" "Northeast",20.6,4.9,5.4,3.5,2.4,4.3,3.2,8.1 "New England",5.5,1.3,1.3,1,0.6,1.2,0.7,2.3 "Middle Atlantic",15.1,3.7,4.1,2.5,1.8,3.1,2.5,5.8 "Midwest",25.6,6.5,6.6,4.7,3,4.8,3.5,9.4

268

" Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"  

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

4 Space Heating Characteristics by Household Income, 2005" 4 Space Heating Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Space Heating Characteristics" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Do Not Have Space Heating Equipment",1.2,0.5,0.3,0.2,"Q",0.2,0.3,0.6 "Have Main Space Heating Equipment",109.8,26.2,28.5,20.4,13,21.8,16.3,37.9 "Use Main Space Heating Equipment",109.1,25.9,28.1,20.3,12.9,21.8,16,37.3

269

" Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"  

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

HC7.9 Home Appliances Characteristics by Household Income, 2005" HC7.9 Home Appliances Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Appliances Characteristics" "Total U.S.",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Cooking Appliances" "Conventional Ovens" "Use an Oven",109.6,26.1,28.5,20.2,12.9,21.8,16.3,37.8 "1.",103.3,25.1,27.1,19.2,12.3,19.6,15.8,36.3 "2 or More",6.2,0.9,1.4,1,0.6,2.2,0.5,1.5

270

" Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"  

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

1 Home Electronics Characteristics by Household Income, 2005" 1 Home Electronics Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Electronics Characteristics" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Personal Computers" "Do Not Use a Personal Computer ",35.5,17.1,10.8,4.2,1.8,1.6,10.3,20.6 "Use a Personal Computer",75.6,9.6,18,16.4,11.3,20.3,6.4,17.9 "Number of Desktop PCs" "1.",50.3,8.3,14.2,11.4,7.2,9.2,5.3,14.2

271

" Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"  

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

2 Living Space Characteristics by Household Income, 2005" 2 Living Space Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Living Space Characteristics" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Floorspace (Square Feet)" "Total Floorspace1" "Fewer than 500",3.2,1.9,0.9,"Q","Q","Q",1.3,2.3 "500 to 999",23.8,10.5,7.3,3.3,1.4,1.2,6.6,12.9 "1,000 to 1,499",20.8,5.8,7,3.8,2.2,2,3.9,8.9

272

" Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"  

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

3 Lighting Usage Indicators by Household Income, 2005" 3 Lighting Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Lighting Usage Indicators" "Total U.S. Housing Units",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per Day",91.8,20.8,23.6,17,11.3,19.1,13,30.7 "1.",28.6,9.4,9.1,4.5,2.4,3.2,5.7,12.6 "2.",29.5,6.8,8,5.8,3.7,5.2,4.2,10.2

273

" Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"  

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

3 Household Characteristics by Household Income, 2005" 3 Household Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Household Characteristics" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Household Size" "1 Person",30,13.5,8.5,4.3,2,1.8,5.9,13.1 "2 Persons",34.8,6,8.8,7.3,4.4,8.4,3.5,8.4 "3 Persons",18.4,3.1,4.7,3.4,2.5,4.6,2,5.8 "4 Persons",15.9,2.2,3.5,3.3,2.7,4.3,2.2,5.1

274

Short and Long-Term Perspectives: The Impact on Low-Income Consumers of Forecasted Energy Price Increases in 2008 and A Cap & Trade Carbon Policy in 2030  

SciTech Connect

The Department of Energy's Energy Information Administration (EIA) recently released its short-term forecast for residential energy prices for the winter of 2007-2008. The forecast indicates increases in costs for low-income consumers in the year ahead, particularly for those using fuel oil to heat their homes. In the following analysis, the Oak Ridge National Laboratory has integrated the EIA price projections with the Residential Energy Consumption Survey (RECS) for 2001 in order to project the impact of these price increases on the nation's low-income households by primary heating fuel type, nationally and by Census Region. The report provides an update of bill estimates provided in a previous study, "The Impact Of Forecasted Energy Price Increases On Low-Income Consumers" (Eisenberg, 2005). The statistics are intended for use by policymakers in the Department of Energy's Weatherization Assistance Program and elsewhere who are trying to gauge the nature and severity of the problems that will be faced by eligible low-income households during the 2008 fiscal year. In addition to providing expenditure forecasts for the year immediately ahead, this analysis uses a similar methodology to give policy makers some insight into one of the major policy debates that will impact low-income energy expenditures well into the middle decades of this century and beyond. There is now considerable discussion of employing a cap-and-trade mechanism to first limit and then reduce U.S. emissions of carbon into the atmosphere in order to combat the long-range threat of human-induced climate change. The Energy Information Administration has provided an analysis of projected energy prices in the years 2020 and 2030 for one such cap-and-trade carbon reduction proposal that, when integrated with the RECS 2001 database, provides estimates of how low-income households will be impacted over the long term by such a carbon reduction policy.

Eisenberg, Joel Fred [ORNL

2008-01-01T23:59:59.000Z

275

VECTOR MEDIAN-RATIONALHYBRID FILTERS FOR MULTICHANNELIMAGE Lazhar Khriji  

E-Print Network (OSTI)

thevectorrationaloperator(VRF)(Theoutputisthe result of vector rational operation taking into account three sub/outputrelation, and hence the name "vectorrational filters" (VRF's)[3]. There are several advantage to the use

Gabbouj, Moncef

276

Recall-Precision Curve Difference from Median in Precision at ...  

Science Conference Proceedings (OSTI)

... 7C3%& A50VAbADQbA('qA2 p(A3121C5 Q0f9C32 drig@f Q0ed9 C32 dri@ds Q0ef9 C32 drea@i Q0id9 C32 dret@g Q0@d9 C32 dresea ...

2003-03-07T23:59:59.000Z

277

Optimization Online - Reliable p-median facility location problem ...  

E-Print Network (OSTI)

Dec 18, 2012 ... A customized column-and- constraint generation approach is implemented and shown to be more effective ... Entry Last Modified: 12/18/2012.

278

2003 CBECS National Median Source Energy Use and Performance...  

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

Building Type Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy...

279

Median Light Rail Crossing: Accident Causation And Countermeasures  

E-Print Network (OSTI)

Integration of Light Rail Transit Into City Streets. TCRPInfluencing Safety at Highway-Rail Grade Crossings. InK. , W. Hucke and W. Berg. Rail Highway Crossing Accident

Coifman, Benjamin; Bertini, Robert L.

1997-01-01T23:59:59.000Z

280

Median Light Rail Crossing: Accident Causation And Countermeasures  

E-Print Network (OSTI)

Cooperative Research Program. Integration of Light RailRail Grade Crossings. In National Cooperative Highway ResearchLight Rail Safety Issues. In Transportation Research Record

Coifman, Benjamin; Bertini, Robert L.

1997-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "median state income" 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

Lifeline electric rates and alternative approaches to the problems of low-income ratepayers: ten case studies of rejected programs  

SciTech Connect

This volume, Volume 3, contains ten case studies of non-implemented programs. It is noted that in Volume 2, the implemented lifeline programs, evolved as policy closely after the 1973 oil embargo; in contrast, the rejected programs were initiated about 4 years later and considered in a more-complex policy environment - after which time alternate methods of assisting low-income people had been developed. Specifically presented here are program summary, issue development, governmental process, and impact for the following: (a) Delaware Senate Bill 202; (b) Illinois House Bill 83; (c) Maine Legislative Document No. 1043; (d) Minnesota House File 1243; (e) New York Assembly Bill 12214; (f) New York Senate Bill 7013-A; (g) Rhode Island Resolution 79-H 5770-A; (h) South Dakota Senate Joint Resolution 9; (i) West Virginia House Bill 943; and (j) Wisconsin Assembly Bill 1250. 4 figures, 24 tables.

1980-07-01T23:59:59.000Z

282

State Laboratory Contacts AC  

Science Conference Proceedings (OSTI)

State Laboratory Contact Information AC. Alabama. Mailing Address, ... PDF. Alaska. Mailing Address, Contact Information. Alaska ...

2013-08-01T23:59:59.000Z

283

State and Regional Resources  

Science Conference Proceedings (OSTI)

... Center. -, Economic Developer's Assn. South Dakota, -, Small Business Development Center. -, Dakota State SBIR. Tennessee, ...

2012-11-19T23:59:59.000Z

284

Oregon - State Energy Profile Overview - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Northwest Power and Conservation Council. Oregon Housing and Community Services - Low Income Home Energy Assistance Program (LIHEAP)

285

California State University, Fullerton CSU Scholarship Program for Future Scholars  

E-Print Network (OSTI)

or your family received any income from a public assistance program such as welfare, AFDC, Social Security

de Lijser, Peter

286

Measured Energy Savings from Retrofits Installed in Low-Income Housing in a Hot and Humid Climate  

E-Print Network (OSTI)

The Florida Solar Energy Center (FSEC) is metering energy use in a Habitat for Humanity housing development. The objective is to understand the way in which energy is used in low income housing and how it can be effectively reduced. The ten homes come from a conventional housing project built by in 1993 Habitat for Humanity in Homestead, Florida. The instrumentation was installed in the homes in July of 1994 with over three years of 15-minute data collected on all sites. Data were obtained on seven electrical end-uses (air conditioning, heating, hot water, dryer, range, refrigerator, washer/freezer) as well as total. Weather conditions were also monitored as well as interior comfort conditions (temperature and humidity) and hot water consumption and window ventilation status. Baseline field data from a year of monitoring from the ten homes allowed unique insight into how energy is used in low income housing and suggested where consumption might be reduced. In April of 1997, a series of detailed retrofits were applied to eight of the ten Habitat homes. These included solar water heaters installed in seven homes. In eight homes we retrofit light features to compact fluorescent types, repaired and sealed duct air distribution systems, cleaned refrigerator coils and installed low-flow showerheads. Since each of he associated energy end-uses (including hot water consumption) is metered, we are able to assess the relative performance of each of the retrofits. We also measured of air conditioner performance and house tightness. These audits revealed numerous problems, but low-evaporator coil air flow was discovered in all homes. The paper describes the retrofit installation, audit data collected and the impact on measured energy consumption. Preliminary economics are explored.

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

1998-01-01T23:59:59.000Z

287

The Impact of DOE Building Technology Energy Efficiency Programs on U.S. Employment, Income, and Investment  

Science Conference Proceedings (OSTI)

To more fully evaluate its programs to increase the energy efficiency of the U.S. residential and commercial building stock, the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) assesses the macroeconomic impacts of those programs, specifically on national employment, wage income, and (most recently) investment. The analysis is conducted using the Impact of Sector Energy Technologies (ImSET) model, a special-purpose 188-sector input-output model of the U.S. economy designed specifically to evaluate the impacts of energy efficiency investments and saving. For the analysis described in the paper, ImSET was amended to provide estimates of sector-by-sector capital requirements and investment. In the scenario of the Fiscal Year (FY) 2005 Buildings Technology (BT) program, the technologies and building practices being developed and promoted by the BT program have the prospect of saving about 2.9×1015 Btu in buildings by the year 2030, about 27% of the expected growth in buildings energy consumption by the year 2030. The analysis reported in the paper finds that, by the year 2030, these savings have the potential to increase employment by up to 446,000 jobs, increase wage income by $7.8 billion, reduce needs for capital stock in the energy sector and closely related supporting industries by about $207 billion (and the corresponding annual level of investment by $13 billion), and create net capital savings that are available to grow the nation’s future economy.

Scott, Michael J.; Roop, Joseph M.; Schultz, Robert W.; Anderson, Dave M.; Cort, Katherine A.

2008-07-31T23:59:59.000Z

288

State energy flow patterns. [All 50 states  

SciTech Connect

Highly visual and self-explanatory 1975 energy flow diagrams are presented for each of the 50 states and for the entire United States. Each diagram illustrates the energy produced and how it is consumed or lost. The diagrams are meant to serve as a convenient and useful reference (or starting point) for consideration of energy-related problems.

Kidman, R.B.; Barrett, R.J.

1977-01-01T23:59:59.000Z

289

Doorway states and billiards  

SciTech Connect

Whenever a distinct state is immersed in a sea of complicated and dense states, the strength of the distinct state, which we refer to as a doorway, is distributed in their neighboring states. We analyze this mechanism for 2-D billiards with different geometries. One of them is symmetric and integrable, another is symmetric but chaotic, and the third has a capricious form. The fact that the doorway-state mechanism is valid for such highly diverse cases, proves that it is robust.

Franco-Villafane, J. A.; Mendez-Sanchez, R. A. [Instituto de Ciencias Fisicas, Universidad Nacional Autonoma de Mexico, P.O. Box 48-3, 62251 Cuernavaca Mor. (Mexico); Flores, J. [Instituto de Fisica, Universidad Nacional Autonoma de Mexico, P.O. Box 20-364, 01000 Mexico, D. F. (Mexico); Centro Internacional de Ciencias, A. C., P.O. Box 6-101 C.P. 62131 Cuernavaca, Mor. (Mexico); Mateos, J. L. [Instituto de Fisica, Universidad Nacional Autonoma de Mexico, P.O. Box 20-364, 01000 Mexico, D. F. (Mexico); Novaro, O. [Instituto de Fisica, Universidad Nacional Autonoma de Mexico, P.O. Box 20-364, 01000 Mexico, D. F. (Mexico); Seligman, T. H. [Instituto de Ciencias Fisicas, Universidad Nacional Autonoma de Mexico, P.O. Box 48-3, 62251 Cuernavaca Mor. (Mexico); Centro Internacional de Ciencias, A. C., P.O. Box 6-101 C.P. 62131 Cuernavaca, Mor. (Mexico)

2010-12-23T23:59:59.000Z

290

Funding for state, city, and county governments in the state...  

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

Funding for state, city, and county governments in the state includes: Funding for state, city, and county governments in the state includes: A chart detailling the funding for...

291

Parts of Quantum States  

E-Print Network (OSTI)

It is shown that generic N-party pure quantum states (with equidimensional subsystems) are uniquely determined by their reduced states of just over half the parties; in other words, all the information in almost all N-party pure states is in the set of reduced states of just over half the parties. For N even, the reduced states in fewer than N/2 parties are shown to be an insufficient description of almost all states (similar results hold when N is odd). It is noted that Real Algebraic Geometry is a natural framework for any analysis of parts of quantum states: two simple polynomials, a quadratic and a cubic, contain all of their structure. Algorithmic techniques are described which can provide conditions for sets of reduced states to belong to pure or mixed states.

Nick S. Jones; Noah Linden

2004-07-15T23:59:59.000Z

292

Parts of quantum states  

Science Conference Proceedings (OSTI)

It is shown that generic N-party pure quantum states (with equidimensional subsystems) are uniquely determined by their reduced states of just over half the parties; in other words, all the information in almost all N-party pure states is in the set of reduced states of just over half the parties. For N even, the reduced states in fewer than N/2 parties are shown to be an insufficient description of almost all states (similar results hold when N is odd). It is noted that real algebraic geometry is a natural framework for any analysis of parts of quantum states: two simple polynomials, a quadratic and a cubic, contain all of their structure. Algorithmic techniques are described which can provide conditions for sets of reduced states to belong to pure or mixed states.

Jones, Nick S.; Linden, Noah [Department of Mathematics, University of Bristol, University Walk, Bristol BS8 1TW (United Kingdom)

2005-01-01T23:59:59.000Z

293

Solid-State Lighting: Postings  

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

Solid-State Lighting: Postings on Twitter Bookmark Solid-State Lighting: Postings on Google Bookmark Solid-State Lighting: Postings on Delicious Rank Solid-State Lighting:...

294

Department of Energy Kicks Off the State of Environmental Justice in  

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

Department of Energy Kicks Off the State of Environmental Justice Department of Energy Kicks Off the State of Environmental Justice in America 2011 Conference Department of Energy Kicks Off the State of Environmental Justice in America 2011 Conference April 27, 2011 - 12:00am Addthis WASHINGTON, D.C. - The U.S. Department of Energy, along with the U.S. Department of Agriculture, the U.S. Department of Interior, the U.S. Environmental Protection Agency, the National Small Town Alliance, the Howard University School of Law and others, kicked off the State of Environmental Justice in America 2011 Conference today in Washington, D.C. This year's conference theme is "Building the Clean Energy Economy with Equity," and will focus on climate change, green jobs and equity for low-income, minority and Tribal populations. The goal is to continue

295

This Policy Brief is an excerpt from the report: "Delivering Energy Efficiency to Middle Income Single Family Households." For the full report and other resources visit: http://middleincome.lbl.gov  

E-Print Network (OSTI)

This Policy Brief is an excerpt from the report: "Delivering Energy Efficiency to Middle Income://middleincome.lbl.gov March 6, 2012 Scaling Energy Efficiency in the Heart of the Residential Market: Increasing Middle America's Access to Capital for Energy Improvements Middle income American households ­ broadly defined

296

Economic impacts of wood energy in the Northeast, 1985: State report: Northeast Regional Biomass Program  

DOE Green Energy (OSTI)

This report summarizes the economic impacts of wood energy for the 11 Northeastern states. The report begins with a brief description of the types of economic impacts estimated in the study. The direct economic impacts are the jobs and income directly attributable to wood energy activities. They are referred to as first round impacts since they reflect the economic activity generated by the first spending of the fuelwood dollar, from the consumer to the supplier. Direct impacts include employment in logging, transport, and end-use operations such as chimney sweeping and boiler operating. Direct impacts also include personal income to employees, payments of stumpage fees to landowners, and profits earned by fuelwood enterprises. Indirect employment and income result from purchases made by fuelwood supply businesses, purpose made by the employees of fuelwood supply businesses, and purchases made by wood burning households or companies for wood combustion system installation, construction, and maintenance. They include purchases of equipment, spare parts, supplies, and services, including financial services.

Chamberlin, R.; High, C.

1986-05-01T23:59:59.000Z

297

State Technology Extension Assistance Project for the State of ...  

Science Conference Proceedings (OSTI)

... NIST provides technical assistance to State technology extension programs throughout the United States. The purpose ...

2013-09-05T23:59:59.000Z

298

Montana State Regulations  

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

Montana State Regulations: Montana State of Montana The Montana Board of Oil and Gas Conservation (MBOGC) is a quasi-judicial body that is attached to the Department of Natural...

299

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA)

Trade and Reliability; All Reports ‹ See all Electricity Reports State Electricity Profiles. ... Electric Power Industry Emissions Estimates, 1990 Through 2010:

300

Behavior Learning via State Chains from Motion Detector Sensors  

E-Print Network (OSTI)

A method for the automatic discrimination of sensor and system behavior and construction of symbols with semantic meaning from simple sensor data is introduced - SCRS (Semantic Concept Recognition System). The automated method is based on statistical modelling of sensor behavior. A model of a sensorpsilas value sequences is automatically constructed. The modelpsilas structure and parameters are optimized using an minibatch model merging and parameter updating algorithm. Incoming sensor values are then conveyed to the model and the most probable path through the model to some particular state is computed. That classification can be interpreted as a semantic symbol or concept. The SCRS can be used as a security and care system for observation of persons and interpretation of scenarios. An example modelling a motion detector is discussed. The SCRSpsilas method of representing scenarios can be also used in autonomous agents for decision making processes. An example is discussed.

Dietmar Bruckner; Brian Sallans; Roland Lang

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "median state income" 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

State Emissions Estimates  

Gasoline and Diesel Fuel Update (EIA)

Estimates of state energy-related carbon dioxide emissions Estimates of state energy-related carbon dioxide emissions Because energy-related carbon dioxide (CO 2 ) constitutes over 80 percent of total emissions, the state energy-related CO 2 emission levels provide a good indicator of the relative contribution of individual states to total greenhouse gas emissions. The U.S. Energy Information Administration (EIA) emissions estimates at the state level for energy-related CO 2 are based on data contained in the State Energy Data System (SEDS). 1 The state-level emissions estimates are based on energy consumption data for the following fuel categories: three categories of coal (residential/commercial, industrial, and electric power sector); natural gas; and ten petroleum products including-- asphalt and road oil, aviation gasoline, distillate fuel, jet fuel, kerosene, liquefied petroleum gases

302

Review of water, lighting, and cooling energy efficiency measures for low-income homes located in warm climates  

SciTech Connect

In support of the U.S. Department of Energy`s Weatherization Assistance Program, Oak Ridge National Laboratory has performed a literature review of weatherization measures applicable for homes located in warm climate regions. Sources for this information included: (1) documented engineering estimates, (2) vendor information, (3) reported performance from research and field tests, and (4) direct discussions with researchers, vendors, and field reporters. Estimated savings are extrapolated from reported energy savings and applied to the end-use energy consumption for low-income homes reported by the Energy Information Administration. Additionally, installation costs, savings-to-investment ratios, and parameters indicating performance sensitivity to issues such as occupancy, construction, client education, and maintenance requirements are presented. The report is comprised of two sections: (1) an overview of measure performance, and (2) an appendix. The overview of measures is in a tabular format, which allows for quick reference. More detailed discussions and references for each measure are presented in the Appendix and it is highly recommended that these be reviewed prior to measure selection.

Martin, M.A.; Gettings, M.B.

1998-02-01T23:59:59.000Z

303

Solid-State Lighting: Solid-State Lighting  

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

Solid-State Lighting Search Solid-State Lighting Search Search Help Solid-State Lighting HOME ABOUT THE PROGRAM R&D PROJECTS MARKET-BASED PROGRAMS SSL BASICS INFORMATION RESOURCES FINANCIAL OPPORTUNITIES EERE » Building Technologies Office » Solid-State Lighting Printable Version Share this resource Send a link to Solid-State Lighting: Solid-State Lighting to someone by E-mail Share Solid-State Lighting: Solid-State Lighting on Facebook Tweet about Solid-State Lighting: Solid-State Lighting on Twitter Bookmark Solid-State Lighting: Solid-State Lighting on Google Bookmark Solid-State Lighting: Solid-State Lighting on Delicious Rank Solid-State Lighting: Solid-State Lighting on Digg Find More places to share Solid-State Lighting: Solid-State Lighting on AddThis.com... Pause/Resume Photo of a large room with people standing around poster boards.

304

State Technologies Advancement Collaborative  

DOE Green Energy (OSTI)

The U. S. Department of Energy (DOE), National Association of State Energy Officials (NASEO), and Association of State Energy Research and Technology Transfer Institutions (ASERTTI) signed an intergovernmental agreement on November 14, 2002, that allowed states and territories and the Federal Government to better collaborate on energy research, development, demonstration and deployment (RDD&D) projects. The agreement established the State Technologies Advancement Collaborative (STAC) which allowed the states and DOE to move RDD&D forward using an innovative competitive project selection and funding process. A cooperative agreement between DOE and NASEO served as the contracting instrument for this innovative federal-state partnership obligating funds from DOE's Office of Energy Efficiency and Renewable Energy and Office of Fossil Energy to plan, fund, and implement RDD&D projects that were consistent with the common priorities of the states and DOE. DOE's Golden Field Office provided Federal oversight and guidance for the STAC cooperative agreement. The STAC program was built on the foundation of prior Federal-State efforts to collaborate on and engage in joint planning for RDD&D. Although STAC builds on existing, successful programs, it is important to note that it was not intended to replace other successful joint DOE/State initiatives such as the State Energy Program or EERE Special Projects. Overall the STAC process was used to fund, through three competitive solicitations, 35 successful multi-state research, development, deployment, and demonstration projects with an overall average non-federal cost share of 43%. Twenty-two states were awarded at least one prime contract, and organizations in all 50 states and some territories were involved as subcontractors in at least one STAC project. Projects were funded in seven program areas: (1) Building Technologies, (2) Industrial Technologies, (3) Transportation Technologies, (4) Distributed Energy Resources, (5) Hydrogen Technology Learning Centers, (6) Fossil Energy, and (7) Rebuild America.

David S. Terry

2012-01-30T23:59:59.000Z

305

State Clean Energy Policies Analysis: State, Utility, and Municipal...  

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

Technical Report State Clean Energy Policies NRELTP-6A2-47376 Analysis: State, Utility, and May 2010 Municipal Loan Programs Eric Lantz Technical Report State Clean Energy...

306

States | OpenEI  

Open Energy Info (EERE)

States States Dataset Summary Description The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a comprehensive database of energy statistics by state (and includes totals for the entire US). SEDS includes estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Annual estimates are available from 1960 - 2009 for production and consumption estimates and from 1970 - 2009 for price and expenditure estimates. Source EIA Date Released June 30th, 2011 (3 years ago) Date Updated Unknown Keywords EIA Energy Consumption Energy Expenditures energy prices energy production SEDS State energy data States US Data text/csv icon Complete SEDS dataset as csv (may be too big for Excel) (csv, 40.6 MiB)

307

Alabama State Regulations  

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

State Regulations » Alabama State Regulations » Alabama State Regulations: Alabama State of Alabama The State Oil and Gas Board of Alabama, under the direction of the State Geologist and Oil and Gas Supervisor, is responsible for the regulation of oil and gas operations. The Board is divided into two administrative regions-north and south. The Board has broad authority in Alabama's oil and gas conservation statutes to promulgate and enforce rules and regulations to ensure the conservation and proper development of Alabama's petroleum resources. A major duty of the Board is to prevent pollution of fresh water supplies by oil, gas, salt water, or other contaminants resulting from oil and gas operations. The Alabama Department of Environmental Management (ADEM) administers the major federal environmental protection laws through regulations governing air pollution, water quality and supply, solid and hazardous waste management.

308

Pennsylvania State University | .EDUconnections  

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

Old Main, Credit: George Chriss Old Main, Credit: George Chriss Research Research at Penn State Capabilities and Projects Institutes of Energy and the Environment Huck Institutes of Life Sciences Materials Research Institute Eberly College of Science Alternative Energy Research Research Publications Faculty Expertise Database Research News DOE Research Results Penn State Commencement 2012 United States Secretary of Energy Dr. Steven Chu was the commencement speaker at Penn State's Eberly College of Science 2012 spring graduation ceremony held May 5 at the Bryce Jordan Center on the University Park campus. Read more. Search this site: Search Over the past ten years, more than 28,000 graduate degrees were conferred by Penn State, including over 6,300 doctoral degrees. Resources About Penn State

309

Twisted vortex state  

E-Print Network (OSTI)

We study a twisted vortex bundle where quantized vortices form helices circling around the axis of the bundle in a "force-free" configuration. Such a state is created by injecting vortices into rotating vortex-free superfluid. Using continuum theory we determine the structure and the relaxation of the twisted state. This is confirmed by numerical calculations. We also present experimental evidence of the twisted vortex state in superfluid 3He-B.

V. B. Eltsov; A. P. Finne; R. Hanninen; J. Kopu; M. Krusius; M. Tsubota; E. V. Thuneberg

2006-02-28T23:59:59.000Z

310

OpenEI - state  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm4330 en Alabama State Oil and Gas Board: Oil Well Records (2911 - 31811) http:en.openei.orgdatasetsnode469

The Alabama...

311

FY 2007 State Table  

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

Department of Energy FY 2007 Congressional Budget Request February 2006 Office of Chief Financial Officer state tables preliminary Department of Energy FY 2007 Congressional Budget...

312

Florida State Regulations  

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

to conserve the state's oil and gas resources and minimize environmental impacts from exploration and production operations through regulation and inspection activities. The...

313

United States Patent  

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

( 1 of 1 ) United States Patent 6,994,831 Gentile , et al. February 7, 2006 Oxidative tritium decontamination system Abstract The Oxidative Tritium Decontamination System, OTDS,...

314

Georgia State Energy Profile  

U.S. Energy Information Administration (EIA)

Georgia has the largest land area of any state east of the Mississippi River, and, sitting at the southern end of the Blue Ridge Mountains, its land ...

315

State of Idaho  

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

fire chiefs association, Idaho society of professional engineers, Idaho state independent living council, southwest Idaho building trades, Idaho building trades, and any other...

316

United States Government  

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

'OQOl - United States Government - Department of Energy National Nuclear Security Administration memorandum January 19, 201 1 DATE. REPLY TO ATTN OF: Y12-60:Gorman SUBJECT ANNUAL...

317

UNITED STATES OF AMERICA  

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

Empowering Consumers and the ) Request for Information Smart Grid: Data Access, Third Party ) Use and Privacy ) COMMENTS BY THE NATIONAL ASSOCIATION OF STATE UTILITY CONSUMER...

318

Solid-State Lighting: Registration  

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

Lighting: Registration on Twitter Bookmark Solid-State Lighting: Registration on Google Bookmark Solid-State Lighting: Registration on Delicious Rank Solid-State Lighting:...

319

Increasing State Capacity Through Clans  

E-Print Network (OSTI)

their role in increasing state capacity With the decline ofhere focus on state capacity and the associated discussionselements of state capacity during the transition from one

Doyle, Jr, Thomas Martin

2009-01-01T23:59:59.000Z

320

Solid-State Lighting: Solid-State Lighting Videos  

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

Solid-State Lighting Videos to Solid-State Lighting Videos to someone by E-mail Share Solid-State Lighting: Solid-State Lighting Videos on Facebook Tweet about Solid-State Lighting: Solid-State Lighting Videos on Twitter Bookmark Solid-State Lighting: Solid-State Lighting Videos on Google Bookmark Solid-State Lighting: Solid-State Lighting Videos on Delicious Rank Solid-State Lighting: Solid-State Lighting Videos on Digg Find More places to share Solid-State Lighting: Solid-State Lighting Videos on AddThis.com... Conferences & Meetings Presentations Publications Webcasts Videos Tools Solid-State Lighting Videos On this page you can access DOE Solid-State Lighting (SSL) Program videos. Photo of a museum art gallery with LED lights in track fixtures overhead. The City of Los Angeles LED Streetlight Program

Note: This page contains sample records for the topic "median state income" 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

Solid-State Lighting: Solid-State Lighting Contacts  

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

About the About the Program Printable Version Share this resource Send a link to Solid-State Lighting: Solid-State Lighting Contacts to someone by E-mail Share Solid-State Lighting: Solid-State Lighting Contacts on Facebook Tweet about Solid-State Lighting: Solid-State Lighting Contacts on Twitter Bookmark Solid-State Lighting: Solid-State Lighting Contacts on Google Bookmark Solid-State Lighting: Solid-State Lighting Contacts on Delicious Rank Solid-State Lighting: Solid-State Lighting Contacts on Digg Find More places to share Solid-State Lighting: Solid-State Lighting Contacts on AddThis.com... Contacts Partnerships Solid-State Lighting Contacts For information about Solid-State Lighting, contact James Brodrick Lighting Program Manager Building Technologies Office U.S. Department of Energy

322

State of Arkansas-State Energy Program Assurances | Department...  

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

State of Arkansas-State Energy Program Assurances State of Arkansas-State Energy Program Assurances A letter describing the intentions of Arkansas's share of the 3.1 billion...

323

" Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"  

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

6 Air Conditioning Characteristics by Household Income, 2005" 6 Air Conditioning Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Air Conditioning Characteristics" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Do Not Have Cooling Equipment",17.8,5.3,4.7,2.8,1.9,3.1,3.6,7.5 "Have Cooling Equipment",93.3,21.5,24.1,17.8,11.2,18.8,13,31.1 "Use Cooling Equipment",91.4,21,23.5,17.4,11,18.6,12.6,30.3 "Have Equipment But Do Not Use it",1.9,0.5,0.6,0.4,"Q","Q",0.5,0.8

324

New York State Energy Research and Development Authority NYSERDA | Open  

Open Energy Info (EERE)

State Energy Research and Development Authority NYSERDA State Energy Research and Development Authority NYSERDA Jump to: navigation, search Name New York State Energy Research and Development Authority (NYSERDA) Place Albany, New York Zip NY 12203-6 Sector Efficiency, Services Product Public research body administering the New York Energy Smart program,that provides energy efficiency services,including those directed at the low-income sector, research and development, and environmental protection activities. Coordinates 42.707237°, -89.436378° 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":42.707237,"lon":-89.436378,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

325

State Energy Production Data  

Gasoline and Diesel Fuel Update (EIA)

State Energy Data System State Energy Data System Production Estimates Technical Notes For 1960-2011 Estimates Table of Contents Section 1. Introduction ................................................................................................................... 1 Section 2. Coal ............................................................................................................................... 5 Section 3. Crude Oil ....................................................................................................................... 7 Section 4. Natural Gas (Marketed Production) .............................................................................. 9 Section 5. Renewable Energy and Nuclear Energy ..................................................................... 13

326

Vectorized Finite State Automata  

E-Print Network (OSTI)

We present a technique of finite state parsing based on vectorization and describe the application of this technique to a well-known problem of natural language processing, that of extracting relational information from English text. We define Vectorized Finite State Automata, the theoretical model behind the applied system, and discuss their significance.

András Kornai

1996-01-01T23:59:59.000Z

327

Solid State Division  

SciTech Connect

This report contains brief discussions on work done in the Solid State Division of Oak Ridge National Laboratory. The topics covered are: Theoretical Solid State Physics; Neutron scattering; Physical properties of materials; The synthesis and characterization of materials; Ion beam and laser processing; and Structure of solids and surfaces. (LSP)

Green, P.H.; Watson, D.M. (eds.)

1989-08-01T23:59:59.000Z

328

FY 2009 State Table  

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

State Tables State Tables Preliminary February 2008 Office of Chief Financial Officer Department of Energy FY 2009 Congressional Budget Request State Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Printed with soy ink on recycled paper State Index Page Number FY 2009 Congressional Budget 1/30/2008 Department Of Energy (Dollars In Thousands) 9:01:45AM Page 1 of 2 FY 2007 Appropriation FY 2008 Appropriation FY 2009 Request State Table 1 1 $27,588

329

FY 2005 State Table  

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

Office of Management, Budget Office of Management, Budget and Evaluation/CFO February 2004 State Tables State Tables Preliminary Preliminary Department of Energy Department of Energy FY 2005 Congressional Budget FY 2005 Congressional Budget Request Request Office of Management, Budget and Evaluation/CFO February 2004 State Tables State Tables Printed with soy ink on recycled paper Preliminary Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. State Index Page Number

330

FY 2010 State Table  

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

State Tables State Tables Preliminary May 2009 Office of Chief Financial Officer FY 2010 Congressional Budget Request State Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Printed with soy ink on recycled paper State Index Page Number FY 2010 Congressional Budget 5/4/2009 Department Of Energy (Dollars In Thousands) 2:13:22PM Page 1 of 2 FY 2008 Appropriation FY 2009 Appropriation FY 2010 Request State Table 1 1 $46,946 $48,781 $38,844 Alabama 2 $6,569

331

FY 2006 State Table  

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

State Tables State Tables Preliminary Department of Energy FY 2006 Congressional Budget Request Office of Management, Budget and Evaluation/CFO February 2005 State Tables Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. State Index Page Number FY 2006 Congressional Budget 1/27/2005 Department Of Energy (Dollars In Thousands) 3:32:58PM Page 1 of 2 FY 2004 Comp/Approp FY 2005 Comp/Approp FY 2006 Request State Table

332

state | OpenEI  

Open Energy Info (EERE)

state state Dataset Summary Description The Alabama State Oil and Gas Board publishes well record permits to the public as they are approved. This dataset is comprised of 50 recent well record permits from 2/9/11 - 3/18/11. The dataset lists the well name, county, operator, field, and date approved, among other fields. State's make oil and gas data publicly available for a range of topics. Source Geological Survey of Alabama Date Released February 09th, 2011 (3 years ago) Date Updated March 18th, 2011 (3 years ago) Keywords Alabama board gas oil state well records Data application/vnd.ms-excel icon Well records 2/9/11 - 3/18/11 (xls, 28.7 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Attribution License

333

FY 2008 State Table  

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

State Table State Table Preliminary Department of Energy FY 2008 Congressional Budget Request February 2007 Office of Chief Financial Officer State Table Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. State Index Page Number FY 2008 Congressional Budget 2/1/2007 Department Of Energy (Dollars In Thousands) 6:53:08AM Page 1 of 2 FY 2006 Appropriation FY 2007 Request FY 2008 Request State Table 1 1 $28,332 $30,341

334

Ground State Entanglement Energetics  

E-Print Network (OSTI)

We consider the ground state of simple quantum systems coupled to an environment. In general the system is entangled with its environment. As a consequence, even at zero temperature, the energy of the system is not sharp: a projective measurement can find the system in an excited state. We show that energy fluctuation measurements at zero temperature provide entanglement information. For two-state systems which exhibit a persistent current in the ground state, energy fluctuations and persistent current fluctuations are closely related. The harmonic oscillator serves to illustrate energy fluctuations in a system with an infinite number of states. In addition to the energy distribution we discuss the energy-energy time-correlation function in the zero-temperature limit.

M. Buttiker; A. N. Jordan

2005-01-04T23:59:59.000Z

335

New York State Regulations  

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

New York New York State Regulations: New York State of New York The primary responsibility for regulating oil and gas activities within New York resides with the Bureau of Oil and Gas Regulation in the Division of Mineral Resources (Office of Natural Resources) of the New York State Department of Environmental Conservation (NYSDEC). Other offices and divisions within the NYSDEC administer the major environmental protection laws. Contact New York State Department of Environmental Conservation Division of Mineral Resources Bureau of Oil and Gas Regulation 625 Broadway, 3rd Floor Albany, NY 12233-6500 (518) 402-8056 (phone) (518) 402-8060 (fax) Disposal Practices and Applicable Regulations Environmental conservation rules and regulations are contained in Title 6 of the Official Compilation of Codes, Rules and Regulations of the State of New York (6 NYCRR). The rules and regulations for oil, gas and solution mining are provided in 6 NYCRR Parts 550-559.

336

Solid-State Lighting: Solid-State Lighting Manufacturing Workshop  

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

Solid-State Lighting Solid-State Lighting Manufacturing Workshop to someone by E-mail Share Solid-State Lighting: Solid-State Lighting Manufacturing Workshop on Facebook Tweet about Solid-State Lighting: Solid-State Lighting Manufacturing Workshop on Twitter Bookmark Solid-State Lighting: Solid-State Lighting Manufacturing Workshop on Google Bookmark Solid-State Lighting: Solid-State Lighting Manufacturing Workshop on Delicious Rank Solid-State Lighting: Solid-State Lighting Manufacturing Workshop on Digg Find More places to share Solid-State Lighting: Solid-State Lighting Manufacturing Workshop on AddThis.com... Conferences & Meetings Past Conferences Presentations Publications Webcasts Videos Tools Solid-State Lighting Manufacturing Workshop Nearly 200 lighting industry leaders, chip makers, fixture and component

337

Solid-State Lighting: Tools  

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

about Solid-State Lighting: Tools on Twitter Bookmark Solid-State Lighting: Tools on Google Bookmark Solid-State Lighting: Tools on Delicious Rank Solid-State Lighting: Tools on...

338

Solid-State Lighting: News  

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

about Solid-State Lighting: News on Twitter Bookmark Solid-State Lighting: News on Google Bookmark Solid-State Lighting: News on Delicious Rank Solid-State Lighting: News on...

339

State and Local Baldrige Programs  

Science Conference Proceedings (OSTI)

State, local, and regional Baldrige-based award programs use the ... organizational excellence and competitiveness in their states and regions. ...

2013-05-15T23:59:59.000Z

340

Materials for solid state lighting  

E-Print Network (OSTI)

and Renewable Energy, Office of Building Technology, State andand Renewable Energy, Office of Building Technology, State and

Johnson, S.G.; Simmons, J.A.

2002-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "median state income" 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

EIA - State Energy Data System  

U.S. Energy Information Administration (EIA)

State Energy Data System (SEDS) 500 . Unhandled exception thrown from /emeu/states/hf.jsp:90 jrun.jsp.runtime ...

342

Food Security Among California's Low-Income Adults Improves, But Most Severely Affected Do Not Share in Improvement  

E-Print Network (OSTI)

the WIC Program on Food Security Status of Pregnant First-Insecurity and Very Low Food Security Among Adults Age 18M, Carlson S. Household Food Security in the United States,

Harrison, Gail G.; Sharp, Matthew; Manolo-LeClair, George; al., et

2007-01-01T23:59:59.000Z

343

By Coal Origin State  

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

1 1 U.S. Energy Information Administration | Quarterly Coal Distribution Report 2nd Quarter 2011 Alabama ___________________________________________________________________________________________________________________________________ Table OS-1. Domestic coal distribution, by origin State, 2nd Quarter 2011 Origin: Alabama (thousand short tons) Coal Destination State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 1,896 182 327 - 2,405 Alabama Railroad 1,192 2 74 - 1,268 Alabama River 655 - - - 655 Alabama Truck 50 180 253 - 482 Georgia Total s - - - s Georgia Truck s - - - s Indiana Total - 72 - - 72 Indiana Railroad - 72 - - 72 Tennessee Total - - 7 - 7 Tennessee Truck - - 7 - 7 Origin State Total 1,896

344

Solid-State Lighting: Solid-State Lighting  

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

Lighting Lighting Printable Version Share this resource Send a link to Solid-State Lighting: Solid-State Lighting to someone by E-mail Share Solid-State Lighting: Solid-State Lighting on Facebook Tweet about Solid-State Lighting: Solid-State Lighting on Twitter Bookmark Solid-State Lighting: Solid-State Lighting on Google Bookmark Solid-State Lighting: Solid-State Lighting on Delicious Rank Solid-State Lighting: Solid-State Lighting on Digg Find More places to share Solid-State Lighting: Solid-State Lighting on AddThis.com... Pause/Resume Photo of a large room with people standing around poster boards. Register Now for DOE's 11th Annual SSL R&D Workshop January 28-30, join other SSL R&D professionals from industry, government, and academia to learn, share, and shape the future of lighting.

345

California State Regulations  

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

California California State Regulations: California State of California The California Department of Conservation's Division of Oil, Gas, and Geothermal Resources oversees the drilling, operation, maintenance, and plugging and abandonment of oil, natural gas, and geothermal wells. The regulatory program emphasizes the development of oil, natural gas, and geothermal resources in the state through sound engineering practices that protect the environment, prevent pollution, and ensure public safety. Other agencies that may be involved in the regulation of drilling wastes include the State Water Resources Control Board and appropriate Regional Water Quality Control Boards, the California Integrated Waste Management Board, the California Air Resources Board and appropriate Air Quality Management Districts or Air Pollution Control Districts, and the Department of Toxic Substances Control.

346

FY 2011 State Table  

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

State Tables State Tables Department of Energy FY 2011 Congressional Budget Request DOE/CF-0054 March 2010 Office of Chief Financial Officer State Tables Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Department of Energy FY 2011 Congressional Budget Request DOE/CF-0054 State Index Page Number FY 2011 Congressional Budget 1/29/2010 Department Of Energy (Dollars In Thousands) 6:34:40AM Page 1 of 2 FY 2009 Appropriation

347

Kansas State Regulations  

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

Kansas Kansas State Regulations: Kansas State of Kansas The Kansas Corporation Commission (KCC) Conservation Division regulates oil and gas operations and protects correlative rights and environmental resources. Otherwise, the Kansas Department of Health and Environment (KDHE) administers the major environmental protection laws. Contact Kansas Corporation Commission (Main Office) 1500 S.W. Arrowhead Road Topeka, KS 66604-2425 (785) 271-3100 (phone) (785) 271-3354 (fax) Conservation Division Finney State Office Building 130 South Market, Room 2078 Wichita, KS 67202-3802 (316) 337-6200 (phone) (316) 337-6211 (fax) Kansas Department of Health and Environment Charles Curtis State Office Building 1000 S.W. Jackson Topeka, KS 66612 (785) 296-1500 (phone) (785) 368-6368 (fax)

348

State Nuclear Profiles 2010  

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

State Nuclear Profiles 2010 State Nuclear Profiles 2010 April 2012 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. U.S. Energy Information Administration | State Nuclear Profiles 2010 i Contacts This report was prepared by the staff of the Renewables and Uranium Statistics Team, Office of Electricity,

349

United States of America  

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

as a stand-alone, transmission-only company owns controls and operates more than 9,350 miles of transmission lines in the states of Wisconsin, Illinois, Minnesota and Michigan....

350

State and Local Incentives  

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

To help you make energy efficiency improvements in your commercial building, your state and/or local community might offer incentives or have special programs. See the following resources for more...

351

United States Government  

Office of Legacy Management (LM)

"- .-A*" (MQ) EfG (07-W) United States Government rrla.g-a Department of Energy memorandum DATE: tlEC 1 F: l??? REPLYTo EM-421 (W. A. W illiams , 903-8149) AJTN OF: SUBJECT:...

352

States - More Challenges | Data.gov  

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

States - More Challenges States Data Apps Challenges Policies States You are here Data.gov Communities States Challenge.gov...

353

UNITED STATES OF AMERICA  

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

Empowering Consumers and the ) Request for Information Empowering Consumers and the ) Request for Information Smart Grid: Data Access, Third Party ) Use and Privacy ) COMMENTS BY THE NATIONAL ASSOCIATION OF STATE UTILITY CONSUMER ADVOCATES NATIONAL ASSOCIATION OF STATE UTILITY CONSUMER ADVOCATES 8380 Colesville Road, Suite 101 Silver Spring, MD 20910 Phone (301) 589-6313 Fax (301) 589-6380 July 12, 2010 i i TABLE OF CONTENTS Introduction ......................................................................................................................................2 Comments ........................................................................................................................................7 1. Who owns energy consumption data? .................................................................................7

354

Western Interstate Nuclear Compact State Nuclear Policy (Multiple States) |  

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

Western Interstate Nuclear Compact State Nuclear Policy (Multiple Western Interstate Nuclear Compact State Nuclear Policy (Multiple States) Western Interstate Nuclear Compact State Nuclear Policy (Multiple States) < Back Eligibility Agricultural Commercial Construction Fed. Government Fuel Distributor Industrial Institutional Investor-Owned Utility Local Government Municipal/Public Utility Nonprofit Retail Supplier Rural Electric Cooperative State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Arizona Program Type Siting and Permitting Provider Western Interstate Energy Board Legislation authorizes states' entrance into the Western Interstate Nuclear Compact, which aims to undertake the cooperation of participating states in

355

New York State 2009 NHTS Comparison Report  

SciTech Connect

The U.S. Department of Transportation (USDOT) initiated an effort in 1969 to collect detailed data on personal travel, with the most recent surveys being the 1995 Nationwide Personal Transportation Survey (NPTS) and the 2001 and 2009 National Household Travel Surveys (NHTS). The primary objective of these surveys is to collect trip-based data on the nature and characteristics of personal travel so that the relationships between the characteristics of personal travel and the socio-economic and demographic characteristics of the traveler and his/her household can be established. In addition to the number of sample households that the national NPTS/NHTS survey allotted to New York State, NYDOT procured an additional sample of households in the 1995, 2001, and 2009 surveys. The comparisons drawn in this report compare the results from these NYS sampled households to the results from households drawn for the rest of the nation. Many of the differences between NYC counties and others in the state result from the striking differences in private vehicle ownership levels, with less than one in two NYC drivers and only 64% of NYC households owning a vehicle in 2009: versus 9 out of 10 drivers owning a vehicle, and between 1.5 and 2 vehicles owned per household, on the average, in the state's other metro areas. And this situation has changed very little over the past fourteen years covered by the three latest NPTS/NHTS surveys. While households in metro areas outside NYC do not own a vehicle largely due to income constraints, many households in NYC/Manhattan do not own a vehicle by choice. However, the statistics suggest that the mobility of zero-vehicle households in NYC/Manhattan is by no means deterred by the lack of a vehicle. While the private vehicle tripmaking rate of NYC residents was between one half and one third that in the state's other metro areas, and their daily VMT about half that of other metro areas, most of their daily travel needs were met by walking or by public transit. As a result, their daily trip-making rates remain consistent with those of vehicle-owning households when all modes of travel are considered. This again indicates that owning a vehicle or being a driver in NYC was less important for meeting a household's mobility needs than anywhere else in NYS. The high levels of public transit usage within NYC replace a great deal of automobile use, and this plus greater use of walk trips results in significantly lower travel generated carbon dioxide emissions per household in NYC than elsewhere in the state. In contrast, the comparatively limited level of public transit ridership in the state's smaller and medium sized metro areas places a much greater reliance on the privately owned vehicle, be it an automobile or the increasingly popular SUV.

Southworth, Frank [ORNL; Reuscher, Tim [Macrosys; Hwang, Ho-Ling [ORNL

2012-06-01T23:59:59.000Z

356

Separable State Decompositions for a Class of Mixed States  

E-Print Network (OSTI)

We study certain quantum states for which the PPT criterion is both sufficient and necessary for separability. A class of $n\\times n$ bipartite mixed states is presented and the conditions of PPT for these states are derived. The separable pure state decompositions of these states are explicitly constructed when they are PPT.

Ting-Gui Zhang; Xiaofen Huang; Xianqing Li-Jost; Naihuan Jing; Shao-Ming Fei

2013-07-23T23:59:59.000Z

357

Roanoke River Basin Bi-State Commission (Multiple States)  

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

The Roanoke River Basin Bi-State Commission was established as a bi-state commission composed of members from the Commonwealth of Virginia and the State of North Carolina. The purpose of the...

358

Solid-State Lighting: 2013 Solid-State Lighting Manufacturing...  

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

2013 Solid-State Lighting Manufacturing R&D Workshop Presentations and Materials to someone by E-mail Share Solid-State Lighting: 2013 Solid-State Lighting Manufacturing R&D...

359

Nebraska State Regulations  

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

Nebraska Nebraska State Regulations: Nebraska State of Nebraska The Nebraska Oil and Gas Conservation Commission (NOGCC) seeks to prevent waste, protect correlative rights of all owners, and encourage and authorize secondary recovery, pressure maintenance, cycling, or recycling, in order that the greatest ultimate recovery of oil and gas may be obtained within the state while protecting the environment. Otherwise, the Nebraska Department of Environmental Quality (NDEQ) administers the major environmental protection laws. Contact Nebraska Oil and Gas Conservation Commission 922 Illinois Street, P.O. Box 399 Sidney, NE 69162 (308) 254-6919 (phone) (308) 254-6922 (fax) Nebraska Department of Environmental Quality 1200 "N" Street, Suite 400 P.O. Pox 98922 Lincoln, NE 68509

360

By Coal Origin State  

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

0 0 U.S. Energy Information Administration | Quarterly Coal Distribution Report 3rd Quarter 2010 Alabama ___________________________________________________________________________________________________________________________________ Table OS-1. Domestic coal distribution, by origin State, 3rd Quarter 2010 Origin: Alabama (thousand short tons) Coal Destination State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 839 11 83 - 933 Alabama River 1,347 - - - 1,347 Alabama Truck 118 216 236 - 571 Alabama Total 2,304 227 320 - 2,850 Georgia Railroad 9 - - - 9 Georgia Truck 7 - 5 - 12 Georgia Total 16 - 5 - 21 Indiana Railroad - 126 - - 126 Tennessee Truck - - 1 - 1 Origin State Total 2,320 353 325 - 2,998 Railroad 848 137 83 - 1,068

Note: This page contains sample records for the topic "median state income" 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

Colorado State Regulations  

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

Colorado Colorado State Regulations: Colorado State of Colorado The Colorado Oil and Gas Conservation Commission (COGCC), a division of the Department of Natural Resources (DNR), regulates oil and gas activities in Colorado. The COGCC has broad statutory authority with respect to impacts on any air, water, soil, or biological resources resulting from oil and gas operations. The COGCC implements the state ground water standards and classifications as they relate to oil and gas exploration and production (E&P) activities. The COGCC has jurisdiction for all Class II injection wells except those on Indian lands. The COGCC has jurisdiction for the management of all E&P wastes except at commercial disposal facilities. The Colorado Department of Public Health and Environment (CDPHE) administers the environmental protection laws related to air quality, waste discharge to surface water, and commercial disposal facilities.

362

Delaware State University | .EDUconnections  

Office of Scientific and Technical Information (OSTI)

Delaware State University Delaware State University Research Office of the Associate Provost for Research General Research Capability Center for Integrated Biological & Environmental Research Experimental Program to Stimulate Competitive Research Delaware IDeA Network of Biomedical Research Excellence Faculty Research DSU Leads the Way in Better Buildings DSU is one of the first university partners in the US to join the Department of Energy's Better Buildings inititative to reduce its carbon footprint by 25% by 2015. Secretary of Energy Chu participated in the DSU kick-off program to commemorate the school's efforts in July 2012. Read more about this showcase project. Search this site: Search Prestigious research projects underway by Delaware State University (DSU) serve to enhance DSU's land-grant mission and its contributions to the

363

By Coal Origin State  

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

0 0 U.S. Energy Information Administration | Quarterly Coal Distribution Report 4th Quarter 2010 Alabama ___________________________________________________________________________________________________________________________________ Table OS-1. Domestic coal distribution, by origin State, 4th Quarter 2010 Origin: Alabama (thousand short tons) Coal Destination State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 944 16 77 - 1,037 Alabama River 781 - - - 781 Alabama Truck 77 224 220 - 521 Alabama Total 1,802 240 298 - 2,340 Florida Railroad - - 11 - 11 Georgia Railroad 52 - - - 52 Georgia Truck s - 5 - 5 Georgia Total 52 - 5 - 57 Indiana Railroad - 65 - - 65 Origin State Total 1,855 304 313 - 2,472 Railroad 996 81 89 - 1,165

364

Basin Destination State  

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

4. Estimated rail transportation rates for coal, basin to state, EIA data 4. Estimated rail transportation rates for coal, basin to state, EIA data Basin Destination State 2008 2009 2010 2008-2010 2009-2010 Northern Appalachian Basin Delaware $26.24 - W W - Northern Appalachian Basin Florida - $35.10 $35.74 - 1.8 Northern Appalachian Basin Georgia - W - - - Northern Appalachian Basin Indiana $18.74 $14.70 $14.99 -10.6 1.9 Northern Appalachian Basin Kentucky - - W - - Northern Appalachian Basin Maryland $18.09 $17.86 $18.39 0.8 3.0 Northern Appalachian Basin Michigan $12.91 $14.70 $14.63 6.4 -0.5 Northern Appalachian Basin New Hampshire $40.00 $36.62 $35.70 -5.5 -2.5

365

Information Equation of State  

E-Print Network (OSTI)

Landauer's principle is applied to information in the universe. Once stars began forming, the increasing proportion of matter at high stellar temperatures compensated for the expanding universe to provide a near constant information energy density. The information equation of state was close to the dark energy value, w = -1, for a wide range of redshifts, 10> z >0.8, over one half of cosmic time. A reasonable universe information bit content of only 10^87 bits is sufficient for information energy to account for all dark energy. A time varying equation of state with a direct link between dark energy and matter, and linked to star formation in particular, is clearly relevant to the cosmic coincidence problem.In answering the "Why now?" question we wonder "What next?" as we expect the information equation of state to tend towards w = 0 in the future.

Paul Gough

2007-09-05T23:59:59.000Z

366

United States Government  

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

.2/06 WED 17:02 FAX 423 241 3897 OIG .2/06 WED 17:02 FAX 423 241 3897 OIG -** HQ . 001 United States Government Department of Energy Department of Energy memorandum DATE: February 9, 2006 Audit Report Number: OAS-L-06-07 REPLY TO ATTN OF; IG-32 (A050R014) SUBJECT: Audit of "The Department's Management of United States Enrichment Corporation Site Services" TO: Manager, Portsmouth/Paducah Project Office INTRODUCTTON AND OBJECTIVE The Paducah Gaseous Diffusion Plant (Paducah), located in western Kentucky, was constructed by the Department of Energy (Department) in the early 1950s to enrich uranium for use in various military and commercial applications. The Department operated the plant until the Energy Policy Act of 1992 created the United States Enrichment Corporation (USEC) as a Government-owned

367

Basin Destination State  

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

3. Estimated rail transportation rates for coal, basin to state, EIA data 3. Estimated rail transportation rates for coal, basin to state, EIA data Basin Destination State 2008 2009 2010 2008-2010 2009-2010 Northern Appalachian Basin Delaware $28.49 - W W - Northern Appalachian Basin Florida - $38.51 $39.67 - 3.0 Northern Appalachian Basin Georgia - W - - - Northern Appalachian Basin Indiana $20.35 $16.14 $16.64 -9.6 3.1 Northern Appalachian Basin Kentucky - - W - - Northern Appalachian Basin Maryland $19.64 $19.60 $20.41 1.9 4.2 Northern Appalachian Basin Michigan $14.02 $16.13 $16.23 7.6 0.6 Northern Appalachian Basin New Hampshire $43.43 $40.18 $39.62 -4.5 -1.4

368

By Coal Origin State  

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

0 0 U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2010 Alabama ___________________________________________________________________________________________________________________________________ Table OS-1. Domestic coal distribution, by origin State, 1st Quarter 2010 Origin: Alabama (thousand short tons) Coal Destination State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 907 10 59 - 975 Alabama River 903 - - - 903 Alabama Truck 150 144 253 - 546 Alabama Total 1,960 153 311 - 2,424 Florida Truck - - 3 - 3 Georgia Railroad 105 - 1 - 106 Georgia Truck s - 4 - 4 Georgia Total 105 - 5 - 110 Indiana Railroad - 106 - - 106 Tennessee Railroad - - 1 - 1 Origin State Total 2,065 259 321 - 2,644

369

By Coal Origin State  

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

1 1 U.S. Energy Information Administration | Quarterly Coal Distribution Report 3rd Quarter 2011 Alabama ___________________________________________________________________________________________________________________________________ Table OS-1. Domestic coal distribution, by origin State, 3rd Quarter 2011 Origin: Alabama (thousand short tons) Coal Destination State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 1,942 160 335 - 2,437 Alabama Railroad 1,149 - 57 - 1,206 Alabama River 741 - - - 741 Alabama Truck 52 160 278 - 490 Georgia Total s - 3 - 3 Georgia Truck s - 3 - 3 Ohio Total - 3 - - 3 Ohio River - 3 - - 3 Origin State Total 1,942 163 338 - 2,443 Railroad 1,149 - 57 - 1,206 River 741 3 - - 745 Truck 52 160

370

By Coal Origin State  

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

1 1 U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2011 Alabama ___________________________________________________________________________________________________________________________________ Table OS-1. Domestic coal distribution, by origin State, 1st Quarter 2011 Origin: Alabama (thousand short tons) Coal Destination State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 1,040 18 80 - 1,138 Alabama River 668 - - - 668 Alabama Truck 52 164 223 - 438 Alabama Total 1,760 181 303 - 2,244 Georgia Truck s - 2 - 2 Indiana Railroad - 148 - - 148 Ohio Railroad - 25 - - 25 Ohio River - 18 - - 18 Ohio Total - 43 - - 43 Origin State Total 1,760 373 305 - 2,438 Railroad 1,040 191 80 - 1,311 River

371

Quantum state discrimination with bosonic channels and Gaussian states  

E-Print Network (OSTI)

Discriminating between quantum states is an indispensable part of quantum information theory. This thesis investigates state discrimination of continuous quantum variables, focusing on bosonic communication channels and ...

Tan, Si Hui, Ph. D. Massachusetts Institute of Technology

2010-01-01T23:59:59.000Z

372

By Coal Destination State  

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

0 0 U.S. Energy Information Administration | Quarterly Coal Distribution Report 2nd Quarter 2010 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 2nd Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 914 12 66 - 992 Alabama River 949 - - - 949 Alabama Truck 78 189 237 - 504 Alabama Total 1,941 201 303 - 2,445 Colorado Railroad 575 - - - 575 Illinois River 99 - - - 99 Indiana River 241 - - - 241 Kentucky Railroad 827 - 12 - 839 Kentucky (East) Railroad 76 - - - 76 Kentucky (West) Railroad

373

By Coal Destination State  

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

0 0 U.S. Energy Information Administration | Quarterly Coal Distribution Report 3rd Quarter 2010 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 3rd Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 839 11 83 - 933 Alabama River 1,347 - - - 1,347 Alabama Truck 118 216 236 - 571 Alabama Total 2,304 227 320 - 2,850 Colorado Railroad 514 - - - 514 Illinois River 99 - - - 99 Indiana River 172 - - - 172 Kentucky Railroad 635 - 11 - 647 Kentucky (East) Railroad 45 - - - 45 Kentucky (West)

374

By Coal Destination State  

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

0 0 U.S. Energy Information Administration | Quarterly Coal Distribution Report 4th Quarter 2010 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 4th Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 944 16 77 - 1,037 Alabama River 781 - - - 781 Alabama Truck 77 224 220 - 521 Alabama Total 1,802 240 298 - 2,340 Colorado Railroad 385 - - - 385 Illinois River 15 - - - 15 Indiana Railroad 1 - - - 1 Indiana River 350 - - - 350 Indiana Total 351 - - - 351 Kentucky Railroad 682 - 2 - 685 Kentucky (East)

375

Indiana State Regulations  

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

Indiana Indiana State Regulations: Indiana State of Indiana The Indiana Department of Natural Resources (DNR) Division of Oil and Gas regulates petroleum exploration, production, and site abandonment activities, underground injection control, test hole drilling, and geophysical surveying operations. Otherwise, the Indiana Department of Environmental Management (IDEM) administers the major environmental protection laws. Contact Division of Oil and Gas (Indianapolis Central Office) 402 West Washington Street, Room 293 Indianapolis, IN 46204 (317) 232-4055 (phone) (317) 232-1550 (fax) (Division Contacts) Indiana Department of Environmental Management P.O. Box 6015 Indianapolis, IN 46206-6015 (317) 232-8603 (phone) (317) 233-6647 (fax) Disposal Practices and Applicable Regulations

376

By Coal Destination State  

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

0 0 U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2010 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 1st Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 907 10 59 - 975 Alabama River 903 - - - 903 Alabama Truck 150 144 253 - 546 Alabama Total 1,960 153 311 - 2,424 Colorado Railroad 640 - - - 640 Illinois River 123 - - - 123 Indiana River 312 - - - 312 Kentucky Railroad 622 - 36 - 658 Kentucky (East) Railroad 96 - 36 - 132 Kentucky (West)

377

By Coal Destination State  

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

1 1 U.S. Energy Information Administration | Quarterly Coal Distribution Report 2nd Quarter 2011 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 2nd Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 1,896 182 327 - 2,405 Alabama Railroad 1,192 2 74 - 1,268 Alabama River 655 - - - 655 Alabama Truck 50 180 253 - 482 Colorado Total 468 - - - 468 Colorado Railroad 468 - - - 468 Illinois Total 90 - 26 - 116 Illinois River 90 - 26 - 116 Indiana Total 181 - - - 181 Indiana River 181 -

378

By Coal Destination State  

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

2 2 U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2012 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 1st Quarter 2012 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 1,407 184 231 - 1,822 Alabama Railroad 801 9 49 - 859 Alabama River 519 - - - 519 Alabama Truck 87 175 182 - 444 Colorado Total 82 - - - 82 Colorado Railroad 82 - - - 82 Illinois Total 149 - 14 - 163 Illinois Railroad 44 - - - 44 Illinois River 105 - 14 - 119 Indiana Total 99 - - - 99

379

Texas State Regulations  

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

Texas Texas State Regulations: Texas State of Texas The Railroad Commission of Texas (RCC), through the Oil and Gas Division, administers oil and gas exploration, development, and production operations, except for oil and gas leasing, royalty payments, surface damages through oil and gas operations, and operator-landowner contracts. The RCC and the Texas Commission on Environmental Quality (TCEQ), formerly, the Texas Natural Resource Conservation Commission (TNRCC), have entered into a Memorandum of Understanding clarifying jurisdiction over oil field wastes generated in connection with oil and gas exploration, development, and production. The RCC Oil and Gas Division operates nine district offices, each staffed with field enforcement and support personnel.

380

By Coal Destination State  

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

1 1 U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2011 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 1st Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 1,040 18 80 - 1,138 Alabama River 668 - - - 668 Alabama Truck 52 164 223 - 438 Alabama Total 1,760 181 303 - 2,244 Colorado Railroad 600 - - - 600 Illinois River 203 - 13 - 217 Indiana River 180 - - - 180 Kentucky Railroad 465 - 10 - 475 Kentucky (West) Railroad 465 - 10 - 475 Utah Railroad 18 - - -

Note: This page contains sample records for the topic "median state income" 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

By Coal Destination State  

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

1 1 U.S. Energy Information Administration | Quarterly Coal Distribution Report 4th Quarter 2011 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 4th Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 1,486 155 328 - 1,970 Alabama Railroad 1,020 - 75 - 1,095 Alabama River 417 - - - 417 Alabama Truck 49 155 253 - 458 Colorado Total 195 - - - 195 Colorado Railroad 195 - - - 195 Illinois Total 127 - 18 - 145 Illinois Railroad 20 - - - 20 Illinois River 107 - 18 - 125 Indiana Total

382

By Coal Origin State  

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

2 2 U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2012 Alabama ___________________________________________________________________________________________________________________________________ Table OS-1. Domestic coal distribution, by origin State, 1st Quarter 2012 Origin: Alabama (thousand short tons) Coal Destination State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 1,407 184 231 - 1,822 Alabama Railroad 801 9 49 - 859 Alabama River 519 - - - 519 Alabama Truck 87 175 182 - 444 Georgia Total s - s - s Georgia Truck s - s - s Indiana Total - 98 - - 98 Indiana Railroad - 98 - - 98 Kentucky Total - - 12 - 12 Kentucky Truck - - 12 - 12 Ohio Total - 30 - - 30 Ohio

383

By Coal Destination State  

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

1 1 U.S. Energy Information Administration | Quarterly Coal Distribution Report 3rd Quarter 2011 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 3rd Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 1,942 160 335 - 2,437 Alabama Railroad 1,149 - 57 - 1,206 Alabama River 741 - - - 741 Alabama Truck 52 160 278 - 490 Colorado Total 621 2 - - 623 Colorado Railroad 621 2 - - 623 Illinois Total 113 - 11 - 123 Illinois River 113 - 11 - 123 Indiana Total 265 - - - 265 Indiana Railroad

384

Entangled states of light  

E-Print Network (OSTI)

These notes are more or less a faithful representation of my talk at the Workshop on ``Quantum Coding and Quantum Computing'' held at the University of Virginia. As such it is an introduction for non-physicists to the topics of the quantum theory of light and entangled states of light. In particular, I discuss the photon concept and what is really entangled in an entangled state of light (it is not the photons). Moreover, I discuss an example that highlights the peculiar behavior of entanglement in an infinite-dimensional Hilbert space.

S. J. van Enk

2004-03-16T23:59:59.000Z

385

United States lubricant demand  

Science Conference Proceedings (OSTI)

This paper examines United States Lubricant Demand for Automotive and Industrial Lubricants by year from 1978 to 1992 and 1997. Projected total United States Lubricant Demand for 1988 is 2,725 million (or MM) gallons. Automotive oils are expected to account for 1,469MM gallons or (53.9%), greases 59MM gallons (or 2.2%), and Industrial oils will account for the remaining 1,197MM gallons (or 43.9%) in 1988. This proportional relationship between Automotive and Industrial is projected to remain relatively constant until 1992 and out to 1997. Projections for individual years between 1978 to 1992 and 1997 are summarized.

Solomon, L.K.; Pruitt, P.R.

1988-01-01T23:59:59.000Z

386

By Coal Origin State  

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

0 0 U.S. Energy Information Administration | Quarterly Coal Distribution Report 2nd Quarter 2010 Alabama ___________________________________________________________________________________________________________________________________ Table OS-1. Domestic coal distribution, by origin State, 2nd Quarter 2010 Origin: Alabama (thousand short tons) Coal Destination State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 914 12 66 - 992 Alabama River 949 - - - 949 Alabama Truck 78 189 237 - 504 Alabama Total 1,941 201 303 - 2,445 Georgia Railroad 23 - - - 23 Georgia Truck s - - - s Georgia Total 23 - - - 23 Indiana Railroad - 115 - - 115 Indiana Truck - 71 - - 71 Indiana Total - 186 - - 186 Tennessee Railroad - - 1 - 1 Tennessee Truck

387

State estimation on correlated copies  

E-Print Network (OSTI)

State estimation is usually analyzed in the situation when copies are in a product state, either mixed or pure. We investigate here the concept of state estimation on correlated copies. We analyze state estimation on correlated N qubit states, which are permutationally invariant. Using a correlated state we try to estimate as good as possible the direction of the Bloch vector of a single particle reduced density matrix. We derive the optimal fidelity for all permutation invariant states. We find the optimal state, which yields the highest estimation fidelity among the states with the same reduced density matrix. Interestingly this state is not a product state. We also point out that states produced by optimal universal cloning machines are the worst form the point of view of estimating the reduced density matrix.

Rafal Demkowicz-Dobrzanski

2004-12-20T23:59:59.000Z

388

Solid-State Lighting: Events  

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

Events Printable Version Share this resource Send a link to Solid-State Lighting: Events to someone by E-mail Share Solid-State Lighting: Events on Facebook Tweet about Solid-State...

389

Graceful network state migrations  

Science Conference Proceedings (OSTI)

A significant fraction of network events (such as topology or route changes) and the resulting performance degradation stem from premeditated network management and operational tasks. This paper introduces a general class of Graceful Network State Migration ... Keywords: communication system operations and management, computer network management, network maintenance, network upgrade

Saqib Raza; Yuanbo Zhu; Chen-Nee Chuah

2011-08-01T23:59:59.000Z

390

Constrainted Coherent States  

E-Print Network (OSTI)

Coherent states possess a regularized path integral and gives a natural relation between classical variables and quantum operators. Recent work by Klauder and Whiting has included extended variables, that can be thought of as gauge fields, into this formalism. In this paper, I consider the next step, and look at the roll of first class constraints.

M. C. Ashworth

1996-04-21T23:59:59.000Z

391

Topic: Current State of Manufacturing  

Science Conference Proceedings (OSTI)

... central role in promoting economic development and industrialization; This is a new era of industrial development for the SGA states; State policy in ...

2013-09-26T23:59:59.000Z

392

Sample State and Local Ballots  

Science Conference Proceedings (OSTI)

Sample State and Local Ballots. ... We thank the election officials who have contributed to this effort. State, County/Municipality, Ballot, Election, Date, ...

2010-10-05T23:59:59.000Z

393

NIST SBIR Proposals by State  

Science Conference Proceedings (OSTI)

NIST SBIR Phase I Proposals Received by State for FY1994 - FY 2013. STATE, FY94, FY95, FY96, FY97, FY98, FY99, FY00, ...

2013-07-25T23:59:59.000Z

394

SEDS: State Energy Production Estimates  

U.S. Energy Information Administration (EIA)

Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity. ... Production. by state and for the United States; by energy source;

395

EERE: States and Local Communities  

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

coalitions in the states dedicated to reducing petroleum use in transportation. Geothermal Technologies Office funds geothermal projects in the states. Green Power Network...

396

North Dakota State Energy Profile  

U.S. Energy Information Administration (EIA)

Although North Dakota’s total energy consumption is among the lowest in the Nation due to its small population, the State’s consumption per capita ... ...

397

EIA - State Energy Data System  

U.S. Energy Information Administration (EIA)

Unhandled exception thrown from /emeu/states/hf.jsp:90 jrun.jsp.runtime.UncaughtPageException: Unhandled exception thrown from /emeu/states/hf.jsp:90 ...

398

NREL: State and Local Activities - State of the States 2010 - The Role of  

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

State of the States 2010 - The Role of Policy in Clean Energy Market State of the States 2010 - The Role of Policy in Clean Energy Market Transformation NREL's State of the States 2010 analysis provides further understanding about how policy interacts with the development of the clean energy market. It quantifies the connection between a broad array of energy efficiency and renewable energy policies and actual energy savings and increases in renewable resource development. NREL produced the State of the States 2010 analysis under its Clean Energy Policy Analyses project. Key Findings The State of the States 2010 analysis draws broad conclusions about how to establish state policies that positively impact the development of clean energy markets. Policy alone does not explain variability in state clean energy growth. When other variables-population, electricity price, and number of

399

The Florida State University Office of Financial Aid  

E-Print Network (OSTI)

applying for Federal student aid.) Include other people as part of your family only if: they lived a 2010 IRS Income Tax Return, list below your employer(s) and any income earned from work received and other qualified plans from IRS Form 1040- line 28 + line 32 or 1040A ­line 17. B C Child support

Weston, Ken

400

State Energy Alternatives: Alternative Energy Resources by State  

DOE Data Explorer (OSTI)

Users can also find out from this map interface the contacts for Clean Cities in a state, information about renewable energy projects and activities in each state, fuel prices across a state, and biomass potential resources and current production in each state.

Note: This page contains sample records for the topic "median state income" 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

Econometric analysis of the demand for gasoline at the state level  

SciTech Connect

An investigation into factors influencing levels of highway gasoline use per household and per vehicle at the state level shows use per vehicle ranged from 588.7 gal in Pennsylvania to 900.0 gal in Arkansas in 1975. Household use in the same year was lowest in New York (864.5 gal) and highest in Wyoming (2222.0 gal). Determinants of the demand for highway gasoline were identified based on economic theory of the demand for travel. Exploratory theoretical analyses led to the conclusion that important state-specific influences were not being adequately accounted for by the available time series (1966 to 1975) of cross-sectional (state) variables. These state effects appeared to be strongly correlated with income. Two time-series cross-sectional (TSCS) regression techniques were employed, producing reasonable and consistent models. Elasticity estimates were slightly higher than estimates using earlier data. In order to analyze the determinants of differences in state gasoline use rates, a two-phase modeling approach was used which first estimates a demand equation utilizing key socio-economic variables. The TSCS technique used to estimate the equation produces quantitative estimates of state-specific deviations from predicted consumption levels. In the second stage these state-specific effects are regressed against a set of explanatory variables describing such state characteristics as spatial structure, climate, and employment in agriculture. State household gasoline-use rates were found to be negatively related to population density, percent of population living in metropolitan areas, agricultural employment, severe winter weather, and small car share of the vehicle fleet. They were positively related to the percentage of the population of working age and to the level of tourist activity. A companion report (ORNL-5391, ''An Investigation of the Variability of Gasoline Consumption among States,'' D. L. Greene) summarizes the major findings of this study.

Greene, D.L.

1978-07-01T23:59:59.000Z

402

Michigan State Regulations  

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

Michigan Michigan State Regulations: Michigan State of Michigan The Michigan Department of Environmental Quality (DEQ), through the Supervisor of Wells, Geological and Land Management Division (GLM), oversees the regulation of oil and gas activities. DEQ staff monitors the environmental impacts of well drilling operations, oil and gas production facilities, and gas storage wells. Contact Michigan Department of Environmental Quality Geological and Land Management Division P.O. Box 30256 Lansing, MI 48909-7756 (517) 241-1515 (phone) (517) 241-1601 (fax) (Organization Chart) Disposal Practices and Applicable Regulations The rules governing oil and gas operations are contained in Part 615, Rules 324.101-324.1301 (Department of Environmental Quality, Oil and Gas Operations) of the Michigan Administrative Code.

403

Selected State Legislation and  

Gasoline and Diesel Fuel Update (EIA)

and and Selected State Legislation and Regulation in the Annual Energy Outlook Energy Information Administration/Assumptions to the Annual Energy Outlook 2007 156 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. Included for categories represented in the AEO residential sector forecast. a. Room Air Conditioners Current standard of 9.8 EER Federal Register Notice of Final Rulemaking. b. Other Air Conditioners (<5.4 tons) Current standard 10 SEET for central air conditioners and heat

404

United States Government  

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

uv /uu/u* ±.u.. J.OJ..L rAA , *. . uv /uu/u* ±.u.. J.OJ..L rAA , *. . 'A4 .. ± OO, I U444 flmI I.j102 ' -f- $I)002 EP<.1 (o-.vu) United States Government Department of Energy memorandum DATE: January 30, 2004 REP.YTO: IG-35 (A03DN039) Audit Report No.: OAS-L-04-10 SUBJECT: Audit of the Safeguards and Security Program at the Rocky Flats Environmental Technology Site To: Frazer Lockhart, Manager, Rocky Flats Field Office INTRODUCTION AND OBJECTIVE Because of the terrorist attacks against the United States on September 11, 2001, the Department of Energy (Department) instituted additional security requirements beyond those already in place for normal security operations. These "Security Conditions" requirements were established by Department Notice 473.8 (Notice). The requirements are based on

405

North Dakota State Regulations  

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

North Dakota North Dakota State Regulations: North Dakota State of North Dakota The North Dakota Industrial Commission (NDIC), through its Oil and Gas Division (OGD), is the regulatory agency for oil and gas exploration and production activities in North Dakota. The North Dakota Department of Health (NDDH) Environmental Health Section (EHS) has the responsibility to safeguard the quality of North Dakota's air, land, and water resources. Contact North Dakota Industrial Commission Oil and Gas Division 600 East Boulevard Avenue, Dept. 405 Bismarck, ND 58505-0840 (701) 328-8020 (phone) (701) 328-8022 (fax) North Dakota Department of Health Environmental Health Section 1200 Missouri Avenue P.O. Box 5520 Bismarck, ND 58506-5520 (701) 328-5150 (phone) (701) 328-5200 (fax) Disposal Practices and Applicable Regulations

406

Nevada State Regulations  

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

Nevada Nevada State Regulations: Nevada State of Nevada The Nevada Division of Minerals (Nevada Commission of Mineral Resources) administers programs and activities to further the responsible development and production of Nevada's mineral resources, including the regulation of oil- and gas-well drilling operations. Otherwise, the Nevada Division of Environmental Protection (Nevada Department of Conservation and Mineral Resources) administers the major environmental protection laws. Contact Nevada Division of Minerals (Carson City Office) 400 West King Street, Suite 106 Carson City, NV 89703 (775) 684-7040 (phone) (775) 684-7052 (fax) (Las Vegas Office) 2030 East Flamingo Road, Suite 220 Las Vegas, NV 89119 (702) 486-4343 (phone) (702) 486-4345 (fax) Nevada Division of Environmental Protection

407

Selected State Legislation and  

Gasoline and Diesel Fuel Update (EIA)

and and Selected State Legislation and Regulation in the Annual Energy Outlook U. S. Energy Information Administration/Assumptions to the Annual Energy Outlook 2009 173 Appendix A: Handling of Federal and Selected State Legislation and Regulation in the Annual Energy Outlook Legislation Brief Description AEO Handling Ba sis Residential Sector A. National Appliance Energy Conservation Act of 1987 Requires Secretary of Energy to set minimum efficiency standards for 10 appliance categories. Included for categories represented in the AEO residential sector forecast. a. Room Air Conditioners Current standard of 9.8 EER Federal Register Notice of Final Rulemaking. b. Other Air Conditioners (<5.4 tons) Current standard 10 SEET for central air conditioners and heat

408

FY 2012 State Table  

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

6 6 Department of Energy FY 2012 Congressional Budget Request State Tables P li i Preliminary February 2012 Office of Chief Financial Officer DOE/CF-0066 Department of Energy FY 2012 Congressional Budget Request State Tables P li i Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. February 2012 Office of Chief Financial Officer Printed with soy ink on recycled

409

l UNITED STATES GOVERNMENT  

Office of Legacy Management (LM)

UNITED STATES GOVERNMENT UNITED STATES GOVERNMENT lb 15 SUBJECT: THORFJM PROCURENENT PMF'N:TBU Jesse C. Johnson, Gtnager of IRaw Materials Operations3s.Office 3 R. W. Cook, Director of Production ~',LL:::+ I--- DATE: MAR ! 9 1951 The following list of suppliers of thorium and the amounts of materials procured from them by the Mew York Operations Office during calendar year 1950 is being supplied in accordance with Mr. Spelmanls telephone request of March 19. Thorium Lannett Bleachery iinde Air Products Co. Lindsey Light & Chemical Co. lliscellaneous NY0 Liscensing Division Rare Earths, Inc. Wolff-Alport Total - (kilograms) 179 38,2;2 -3 4,210 /vyeoi 4 -q- 2 : i ' \ iti 1 i 0 ;;\I:' --' I F 10 i;;;?/ \ --' L & ;:I :,- :,j( EZi 5 1 :' -I I ri _ I ' R i; .- . )- .i

410

Oklahoma State Regulations  

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

Oklahoma Oklahoma State Regulations: Oklahoma State of Oklahoma The Oklahoma Corporation Commission (OCC), through the Oil and Gas Division, assists the domestic oil and gas industry, protects and preserves the environment, and conserves the natural resources. General environmental protection regulations are administered by the Oklahoma Department of Environmental Quality (DEQ). Contact Oklahoma Corporation Commission Oil and Gas Division P.O. Box 52000 Oklahoma City, OK 73152-2000 (mailing address) (405) 521-2302 (phone) 2101 North Lincoln Blvd. Oklahoma City, OK 73105 (street address) Oklahoma Department of Environmental Quality P.O. Box 1677 Oklahoma City, OK 73101-1677 (mailing address) 707 North Robinson Oklahoma City, OK 73102 (street address) (405) 702-1000 (phone)

411

STATE: OH PROJECf  

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

City of Cleveland City of Cleveland STATE: OH PROJECf Cleveland City ARRA-EECBG (S) Act 2 (Cleveland Energy$aver Program) TITLE: Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number cm Number DE-FOA-0000148/81.128 DE-EEOOO0705 gfo-OOO0705-002 Based on my review of the Information concerning the proposed action, as NEPA Compliance Officer (authorized under DOE Order 451.1A), I have made the foDowing determmation: CX, EA, EIS APPENDIX AND NUMBER: Description: A11 Technical advice and planning assistance to intemational, national, state, and local organizations. A9 Information gathering (including, but not limited to, literature surveys, inventories, audits), data analysis (including computer modeling), document preparation (such as conceptual design or feasibility studies, analytical energy supply

412

United States Government  

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

OEF 1325.8 OEF 1325.8 (U8-93) United States Government Department of Energy memorandum DATE: April 11, 2007 Audit Report Number: OAS-L-07-I1 REPLY TO ATTN OF: IG-32 (A07DN056) SUSJECT: Audit of the Department of Energy's Community and Regulatory Support Funding at the Richland Operations Office TO: Manager, Richland Operations Office INTRODUCTION AND OBJECTIVE The Department of Energy's (Department) Office of Environmental Management provided $60.1 million in Community and Regulatory Support funding in Fiscal Year (FY) 2005 to a number of Departm- nt sites. The funding is intended to be used for activities indirectly related to nuclear and hazardous waste cleanup, such as agreements with state regulatory agencies and transportation departments. During FY 2005, the Department's Richland

413

State\neva  

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

GOVERNOR GOVERNOR NEVADA AGENCY FOR NUCLEAR PROJECTS Capitol Complex Carson City, Nevada 89710 Telephone: (702) 687-3744 ! ! Fax: (702) 687-5277 January 30, 1998 U.S. Department of Energy Office of General Counsel, GC-52 1000 Independence Avenue, S.W. Washington, DC 20585 Attention: Mr. Ben McRae or Ms. Jeanette Helfrich Attached are comments from the State of Nevada on the December 31, 1997 Federal Register "Notice of Inquiry Concerning Preparation of a Report to Congress on the Price-Anderson Act." As noted in the State's comments, we are concerned that the specified comment period of 30 days may have been too shot to allow adequate coverage of the questions and associated issues contained in the Notice. Nevada recommends that DOE consider extending the comment period or

414

New Mexico State Regulations  

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

New Mexico New Mexico State Regulations: New Mexico State of New Mexico The Oil Conservation Division (OCD) in the New Mexico Energy, Minerals and Natural Resources Department regulates oil and gas and geothermal operations in New Mexico. The OCD has the responsibility to gather oil and gas production data, permit new wells, establish pool rules and oil and gas allowables, issue discharge permits, enforce rules and regulations of the division, monitor underground injection wells and ensure that abandoned wells are properly plugged and the land is responsibly restored. Otherwise, the New Mexico Environment Department (NMED) administers the major environmental protection laws. The Water Quality Control Commission (WQCC), which is administratively attached to the NMED, assigns responsibility for administering its regulations to constituent agencies, including the OCD.

415

United States Government Department  

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

OE r 1325.0 OE r 1325.0 (01.93) United States Government Department of memorandum DATE: March 23, 2006 Audit Report Number: OAS-L-06-09 REPLY TO ATTN OF: IG-32 (A060R040) SUBJECT: Audit of"The Department of Energy's Management of the Northeast Home Heating Oil Reserve" TO, Deputy Assistant Secrctary for Petroleum Reserves INTRODUCTION AND OBJECTIVE The Energy Act of 2000 authorized the Secretary of Energy to create a Northeast Home Heating Oil Reserve (Reserve). The Reserve was established as an "emergency buffer" to supplement commercial supplies should a severe supply disruption occur in the heavily heating oil-dependent northeast United States. The Reserve consists of 2 million barrels of emergency home heating oil, enough to provide Northeast consumers adequate supplies for approximately

416

United States Government  

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

United States Government United States Government Department of Energy Memorandum DATE: July 29, 2005 REPLY TO ATTN TO: IG-34 (A05HQ002) Audit Report No. OAS-L-05-10 SUBJECT: Agreed-Upon Procedures for Federal Payroll TO: Director, Office of Management, Budget, and Evaluation/Chief Financial Officer, ME-1 INTRODUCTION AND OBJECTIVE The Office of Management and Budget (OMB) Bulletin No. 01-02, "Audit Requirements for Federal Financial Statement," dated October 16, 2000, requires an annual audit of civilian payroll of executive departments and other Government agencies. Auditors are required to follow the agreed-upon procedures in Appendix I-1 of OMB Bulletin No. 01-02, to assess the reasonableness of life insurance, health benefits, and retirement withholdings and contributions.

417

Virginia State Regulations  

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

Virginia Virginia State Regulations: Virginia State of Virginia The Division of Gas and Oil in the Virginia Department of Mines, Minerals and Energy (DMME) regulates the effects of gas and oil operations both on and below the surface. The Virginia Gas and Oil Board is to foster, encourage, and promote the safe and efficient exploration for and development, production, and utilization of gas and oil resources. Otherwise, three regulatory citizen boards are responsible for adopting Virginia 's environmental regulations. The Virginia Department of Environmental Quality (DEQ) staff administers the regulations as approved by the boards. Finally, the U.S. Environmental Protection Agency (EPA) Region 3, through its Water Protection Division, administers Class II underground injection control (UIC) programs in Virginia in direct implementation.

418

Kentucky State Regulations  

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

Kentucky Kentucky State Regulations: Kentucky State of Kentucky The Division of Oil and Gas (DOG) in the Department of Natural Resources (DNR) fosters conservation of all mineral resources, encourages exploration of such resources, protects the correlative rights of land and mineral owners, prohibits waste and unnecessary surface loss and damage, and encourages the maximum recovery of oil and gas from all deposits. The Energy and Environment Cabinet brings together various Kentucky agencies. It is tasked with protecting and enhancing Kentucky's natural resources. The Department for Environmental Protection (DEP) administers the major environmental protection laws. The U.S. Environmental Protection Agency (EPA) Region 4 administers Class II underground injection control (UIC) programs in Kentucky in direct implementation.

419

journal Solid State Ionics  

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

Structural and transport properties of Nafion in hydrobromic Structural and transport properties of Nafion in hydrobromic acid solutions journal Solid State Ionics year month abstract p Proton exchange membranes are key solid state ion carriers in many relevant energy technologies including flow batteries fuel cells and solar fuel generators In many of these systems the membranes are in contact with electrolyte solutions In this paper we focus on the impact of different HBr a flow battery and exemplary acid electrolyte external concentrations on the conductivity of Nafion a perfluorosulfonic acid membrane that is commonly used in many energy related applications The peak and then decrease in conductivity is correlated with measured changes in the water and HBr content within the membrane In addition small angle x ray scattering is used to probe the nanostructure to

420

By Coal Origin State  

Gasoline and Diesel Fuel Update (EIA)

Annual Coal Distribution Report 2010 Annual Coal Distribution Report 2010 U.S. Energy Information Administration | Annual Coal Distribution Report 2010 Alabama ___________________________________________________________________________________________________________________________________ Table OS-1. Domestic coal distribution, by origin State, 2010 Origin: Alabama (thousand short tons) Coal Destination State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 7,906 821 1,242 - 9,969 Alabama Railroad 3,604 49 285 - 3,938 Alabama River 3,979 - - - 3,979 Alabama Truck 322 773 957 - 2,051 Florida Total - - 15 - 15 Florida Railroad - - 11 - 11 Florida Truck - - 3 - 3 Georgia Total 196 - 15 - 211 Georgia Railroad 189 - 1 - 190 Georgia Truck

Note: This page contains sample records for the topic "median state income" 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

Bound States in Graphene  

E-Print Network (OSTI)

We present a quantum analysis of the massless excitations in graphene with a charge impurity. When the effective charge exceeds a certain critical value, the spectrum is quantized and is unbounded from below. The corresponding eigenstates are square-integrable at infinity and have a rapidly oscillatory behaviour in the short distance, which can be interpreted as a fall to the centre. Using a cutoff regularization, we show that the effective Coulomb interaction strength is driven to its critical value under the renormalization group flow. In the subcritical region, we find bound states with imaginary values of the energy for certain range of the system parameters. The physical significance of these bound states with imaginary eigenvalues is discussed.

Kumar S. Gupta; Siddhartha Sen

2008-05-22T23:59:59.000Z

422

United States Environmental Monitoring  

Office of Legacy Management (LM)

EPA 60014-91/030 EPA 60014-91/030 Environmental Protection Systems Laboratory DOE/DP00539-063 Agency P.O. Box 93478 Las Vegas NV 891 93-3478 Research and Development Offsite Environmental Monitoring Report: 1 - 3 5 Radiation Monitorina Around * / (- P 7 1 United States ~ u c l g a r Test Areas Calendar Year 1990 This page intentionally left blank EPN60014-90 DOWDP Offsite Environmental Monitoring Report: Radiation Monitoring Around United States Nuclear Test Areas, Calendar Year 1990 Contributors: D.J. Chaloud, B.B. Dicey, D.G. Easterly, C.A. Fontana, R.W. Holloway, A.A. Mullen, V.E. Niemann, W.G. Phillips, D.D. Smith, N.R. Sunderland, D.J. Thome, and Nuclear Radiation Assessment Division Prepared for: U.S. Department of Energy under Interagency Agreement Number DE-A108-86-NV10522

423

By Coal Destination State  

Gasoline and Diesel Fuel Update (EIA)

Annual Coal Distribution Report 2010 Annual Coal Distribution Report 2010 U.S. Energy Information Administration | Annual Coal Distribution Report 2010 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 2010 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 7,906 821 1,242 - 9,969 Alabama Railroad 3,604 49 285 - 3,938 Alabama River 3,979 - - - 3,979 Alabama Truck 322 773 957 - 2,051 Colorado Total 2,113 - - - 2,113 Colorado Railroad 2,113 - - - 2,113 Illinois Total 336 - - - 336 Illinois River 336 - - - 336 Indiana Total 1,076

424

Models of multiquark states  

SciTech Connect

The success of simple constituent quark models in single-hardon physics and their failure in multiquark physics is discussed, emphasizing the relation between meson and baryon spectra, hidden color and the color matrix, breakup decay modes, coupled channels, and hadron-hadron interactions via flipping and tunneling of flux tubes. Model-independent predictions for possible multiquark bound states are considered and the most promising candidates suggested. A quark approach to baryon-baryon interactions is discussed.

Lipkin, H.J.

1986-01-01T23:59:59.000Z

425

Current State Assessment  

Science Conference Proceedings (OSTI)

The report addresses the current state of design and management for protective relaying and substation control system products and installations in North America. Recently deployed protective relay design generations have been developed essentially as functional replacements for older electromechanical relays and have not necessarily taken advantage of their full potential. As utilities begin to deal with large deployments of these smart devices in a new regulatory and economic environment, they are stru...

2009-10-28T23:59:59.000Z

426

RECORDS DISPOSITION AUTHORIZATION STATE AGENCIES  

E-Print Network (OSTI)

RECORDS DISPOSITION AUTHORIZATION ­ STATE AGENCIES Form RC-108 (Revised 07/2011) STATE, CT 06106 www.cslib.org/publicrecords AUTHORITY: State agencies in the Executive branch and certain or Transfer Agreement), and retain pursuant to S1-390. STATE AGENCY: DIVISION / UNIT: ADDRESS (for return

Oliver, Douglas L.

427

Recovery Act State Summaries | Department of Energy  

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

Recovery Act State Summaries Recovery Act State Summaries Recovery Act State Summaries Alabama Recovery Act State Memo Alaska Recovery Act State Memo American Samoa Recovery Act State Memo Arizona Recovery Act State Memo Arkansas Recovery Act State Memo California Recovery Act State Memo Colorado Recovery Act State Memo Connecticut Recovery Act State Memo Delaware Recovery Act State Memo District of Columbia Recovery Act State Memo Florida Recovery Act State Memo Georgia Recovery Act State Memo Guam Recovery Act State Memo Hawaii Recovery Act State Memo Idaho Recovery Act State Memo Illinois Recovery Act State Memo Indiana Recovery Act State Memo Iowa Recovery Act State Memo Kansas Recovery Act State Memo Kentucky Recovery Act State Memo Louisiana Recovery Act State Memo Maine Recovery Act State Memo

428

Wyoming State Regulations  

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

Wyoming Wyoming State Regulations: Wyoming State of Wyoming The Wyoming Oil and Gas Conservation Commission (WOGCC) is the state agency authorized to regulate oil and gas exploration and production waste. The Wyoming Department of Environmental Quality (DEQ) administers general environmental protection regulations. Contact Wyoming Oil and Gas Conservation Commission 2211 King Blvd. Casper, WY 82602 (street address) P.O. Box 2640 Casper, WY 82602 (mailing address) (307) 234-7147 (phone) (307) 234-5306 (fax) Wyoming Department of Environmental Quality 122 West 25th Street, Herscheler Building Cheyenne, WY 82002 (307) 777-7937 (phone) (307) 777-7682 (fax) Disposal Practices and Applicable Regulations Document # 4855, Agency (Oil and Gas Conservation Commission), General Agency, Board or Commission Rules, Chapter 4 (Environmental Rules, Including Underground Injection Control Program Rules for Enhanced Recovery and Disposal Projects), Section 1. Pollution and Surface Damage (Forms 14A and 14B) of the Wyoming Rules and Regulations contains the environmental rules administered by the WOGCC with respect to management options for exploration and production waste.

429

Representation of State Property Systems  

E-Print Network (OSTI)

A 'state property system' is the mathematical structure which models an arbitrary physical system by means of its set of states, its set of properties, and a relation of 'actuality of a certain property for a certain state'. We work out a new axiomatization for standard quantum mechanics, starting with the basic notion of state property system, and making use of a generalization of the standard quantum mechanical notion of 'superposition' for state property systems.

Diederik Aerts; Sylvia Pulmannova

2008-11-15T23:59:59.000Z

430

State Clean Energy Policies Analysis (SCEPA): State Tax Incentives  

Science Conference Proceedings (OSTI)

As a policy tool, state tax incentives can be structured to help states meet clean energy goals. Policymakers often use state tax incentives in concert with state and federal policies to support renewable energy deployment or reduce market barriers. This analysis used case studies of four states to assess the contributions of state tax incentives to the development of renewable energy markets. State tax incentives that are appropriately paired with complementary state and federal policies generally provide viable mechanisms to support renewable energy deployment. However, challenges to successful implementation of state tax incentives include serving project owners with limited state tax liability, assessing appropriate incentive levels, and differentiating levels of incentives for technologies with different costs. Additionally, state tax incentives may result in moderately higher federal tax burdens. These challenges notwithstanding, state tax incentives that consider certain policy design characteristics can support renewable energy markets and state clean energy goals.The scale of their impact though is directly related to the degree to which they support the renewable energy markets for targeted sectors and technologies. This report highlights important policy design considerations for policymakers using state tax incentives to meet clean energy goals.

Lantz, E.; Doris, E.

2009-10-01T23:59:59.000Z

431

Influences on farmland values in urban Texas counties and the State  

E-Print Network (OSTI)

Farmland values have been a highly researched topic for the past several decades. Interest was spurred initially by increased variability between land values and farm income during the 1950's. Prior research sought to explain value changes through the defining the relationships between land values and an assortment of farm sector and nonfarm sector variables. The foci of the prior studies were mostly rural, homogeneous areas of major agricultural states. Although Texas is considered an important agricultural state with a diversity of related enterprises, its farmland values have generally escaped the scrutiny of review. In 1992, Texas farmland comprised nearly 10 percent of the U.S. aggregated farmland value. This study sought to further knowledge by evaluating previously identified significant land value influences for their importance in Texas. Based on a literature review, proxy variables were specified to represent the influences and were tested for their explanatory ability on Texas land value data. The scope of the study was selected to reflect years that were considered historically interesting for land values in the United States, 1969 through 1994. Urban counties were studied to ascertain if identified influences were important to designated agricultural-use land near metropolitan areas. The results indicate that land supply and demand factors were the most often important influences upon land values, General agricultural economic factors were next in prevalence, followed by farm and nonfarm income factors which were not usually significant to the urban farmland. The study also emphasized that land dedicated to agricultural use in the urban counties was chiefly valued for its abilities to serve investment and consumptive purposes, instead of productive participants need to ascertain local market conditions before making a decision to buy or sell land. Land owners must carefully consider land management choices, as resource issues will increasingly impact land value. Agricultural land owners should evaluate their land primarily in terms of its investment and consumptive potential, instead of its productive qualities.

Clampffer, Blake Robert

1997-01-01T23:59:59.000Z

432

State Facilities Energy Conservation Program (Oklahoma) | Department...  

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

State Facilities Energy Conservation Program (Oklahoma) State Facilities Energy Conservation Program (Oklahoma) Eligibility Schools State Government Savings For Other Program...

433

Linearly independent pure-state decomposition and quantum state discrimination  

E-Print Network (OSTI)

We put the pure-state decomposition mathematical property of a mixed state to a physical test. We begin by characterizing all the possible decompositions of a rank-two mixed state by means of the complex overlap between two involved states. The physical test proposes a scheme of quantum state recognition of one of the two linearly independent states which arise from the decomposition. We find that the two states associated with the balanced pure-state decomposition have the smaller overlap modulus and therefore the smallest probability of being discriminated conclusively, while in the nonconclusive scheme they have the highest probability of having an error. In addition, we design an experimental scheme which allows to discriminate conclusively and optimally two nonorthogonal states prepared with different a priori probabilities. Thus, we propose a physical implementation for this linearly independent pure-state decomposition and state discrimination test by using twin photons generated in the process of spontaneous parametric down conversion. The information-state is encoded in one photon polarization state whereas the second single-photon is used for heralded detection.

Luis Roa; Alejandra Maldonad-Trapp; Marcelo Alid

2010-10-26T23:59:59.000Z

434

State of New York  

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

Office of Electric Delivery and Energy Reliability Request for information Addressing Policy and Logistical Challenges to Smart Grid Implementation COMMENTS OF CURRENT GROUP, LLC CURRENT Group, LLC ("CURRENT") hereby submits these Comments in connection with the Department of Energy"s ("Department") Request for Information ("RFI") in the above- captioned proceeding. CURRENT is a provider of low-cost, distribution automation solutions that enable electric utilities to operate and deliver electricity more efficiently than they have traditionally been able to do. Simply stated, these distribution smart grid solutions reduce the

435

Solid state optical microscope  

DOE Patents (OSTI)

A solid state optical microscope wherein wide-field and high-resolution images of an object are produced at a rapid rate by utilizing conventional optics with a charge-coupled photodiode array. A galvanometer scanning mirror, for scanning in one of two orthogonal directions is provided, while the charge-coupled photodiode array scans in the other orthogonal direction. Illumination light from the object is incident upon the photodiodes, creating packets of electrons (signals) which are representative of the illuminated object. The signals are then processed, stored in a memory, and finally displayed as a video signal. 2 figs.

Young, I.T.

1983-08-09T23:59:59.000Z

436

Solid state optical microscope  

DOE Patents (OSTI)

A solid state optical microscope wherein wide-field and high-resolution images of an object are produced at a rapid rate by utilizing conventional optics with a charge-coupled photodiode array. A galvanometer scanning mirror, for scanning in one of two orthogonal directions is provided, while the charge-coupled photodiode array scans in the other orthogonal direction. Illumination light from the object is incident upon the photodiodes, creating packets of electrons (signals) which are representative of the illuminated object. The signals are then processed, stored in a memory, and finally displayed as a video signal.

Young, Ian T. (Pleasanton, CA)

1983-01-01T23:59:59.000Z

437

Renewable Portfolio Standards by State, 2007  

U.S. Energy Information Administration (EIA)

Renewable Portfolio Standards and State Mandates by State, 2007 State. Title: Renewable Portfolio Standards by State, 2007 Subject: Renewable Energy Author: Louise ...

438

Cluster-state creation in liquid-state NMR  

E-Print Network (OSTI)

The subject of this thesis is devoted to a class of multiparticle entangled states known as the cluster-states. In particular, we focused on a system of four spins and studied the entanglement properties of a four-qubit ...

Choy, Jennifer T

2007-01-01T23:59:59.000Z

439

State of the States: Fuel Cells in America 2012  

Fuel Cell Technologies Publication and Product Library (EERE)

This report, written by Fuel Cells 2000 and partially funded by the U.S. Department of Energy's Fuel Cell Technologies Program, continues to build on the April 2010 State of the States report that pro

440

EIA - State Nuclear Profiles  

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

Florida Nuclear Profile 2010 Florida profile Florida Nuclear Profile 2010 Florida profile Florida total electric power industry, summer capacity and net generation, by energy source, 2010 Primary Energy Source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,924 6.6 23,936 10.4 Coal 9,975 16.9 59,897 26.1 Hydro and Pumped Storage 55 0.1 177 0.1 Natural Gas 31,563 53.4 128,634 56.1 Other1 544 0.9 2,842 1.2 Other Renewable1 1,053 1.8 4,487 2.0 Petroleum 12,033 20.3 9,122 4.0 Total 59,147 100.0 229,096 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

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441

EIA - State Nuclear Profiles  

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

North Carolina Nuclear Profile 2010 North Carolina profile North Carolina Nuclear Profile 2010 North Carolina profile North Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,958 17.9 40,740 31.7 Coal 12,766 46.1 71,951 55.9 Hydro and Pumped Storage 2,042 7.4 4,757 3.7 Natural Gas 6,742 24.4 8,447 6.6 Other 1 50 0.2 407 0.3 Other Renewable1 543 2.0 2,083 1.6 Petroleum 573 2.1 293 0.2 Total 27,674 100.0 128,678 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

442

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

California Nuclear Profile 2010 California profile California Nuclear Profile 2010 California profile California total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,390 6.5 32,201 15.8 Coal 374 0.6 2,100 1.0 Hydro and Pumped Storage 13,954 20.7 33,260 16.3 Natural Gas 41,370 61.4 107,522 52.7 Other 1 220 0.3 2,534 1.2 Other Renewable1 6,319 9.4 25,450 12.5 Petroleum 701 1.0 1,059 0.5 Total 63,328 100.0 204,126 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

443

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Georgia Nuclear Profile 2010 Georgia profile Georgia Nuclear Profile 2010 Georgia profile Georgia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,061 11.1 33,512 24.6 Coal 13,230 36.1 73,298 54.0 Hydro and Pumped Storage 3,851 10.5 3,044 2.7 Natural Gas 12,668 34.6 23,884 15.9 Other 1 - - 18 * Other Renewable1 637 1.7 3,181 2.2 Petroleum 2,189 6.0 641 0.5 Total 36,636 100.0 128,698 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

444

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Mississippi Nuclear Profile 2010 Mississippi profile Mississippi Nuclear Profile 2010 Mississippi profile Mississippi total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,251 8.0 9,643 17.7 Coal 2,526 16.1 13,629 25.0 Natural Gas 11,640 74.2 29,619 54.4 Other 1 4 * 10 * Other Renewable1 235 1.5 1,504 2.8 Petroleum 35 0.2 18 0.1 Total 15,691 100.0 54,487 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05. Notes: Totals may not equal sum of components due to independent rounding.

445

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Connecticut Nuclear Profile 2010 Connecticut profile Connecticut Nuclear Profile 2010 Connecticut profile Connecticut total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,103 25.4 16,750 50.2 Coal 564 6.8 2,604 7.8 Hydro and Pumped Storage 151 1.8 400 1.2 Natural Gas 2,292 27.7 11,716 35.1 Other 1 27 0.3 730 2.2 Other Renewable1 159 1.9 740 2.2 Petroleum 2,989 36.1 409 1.2 Total 8,284 100.0 33,350 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

446

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Massachusetts Nuclear Profile 2010 Massachusetts profile Massachusetts Nuclear Profile 2010 Massachusetts profile Massachusetts total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 685 5.0 5,918 13.8 Coal 1,669 12.2 8,306 19.4 Hydro and Pumped Storage 1,942 14.2 659 1.5 Natural Gas 6,063 44.3 25,582 59.8 Other 1 3 * 771 1.8 Other Renewable1 304 2.2 1,274 3.0 Petroleum 3,031 22.1 296 0.7 Total 13,697 100.0 42,805 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

447

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Michigan Nuclear Profile 2010 Michigan profile Michigan Nuclear Profile 2010 Michigan profile Michigan total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,947 13.2 29,625 26.6 Coal 11,531 38.7 65,604 58.8 Hydro and Pumped Storage 2,109 7.1 228 0.2 Natural Gas 11,033 37.0 12,249 11.0 Other 1 - - 631 0.6 Other Renewable1 571 1.9 2,832 2.5 Petroleum 640 2.1 382 0.3 Total 29,831 100.0 111,551 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

448

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Florida Nuclear Profile 2010 Florida profile Florida Nuclear Profile 2010 Florida profile Florida total electric power industry, summer capacity and net generation, by energy source, 2010 Primary Energy Source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,924 6.6 23,936 10.4 Coal 9,975 16.9 59,897 26.1 Hydro and Pumped Storage 55 0.1 177 0.1 Natural Gas 31,563 53.4 128,634 56.1 Other1 544 0.9 2,842 1.2 Other Renewable1 1,053 1.8 4,487 2.0 Petroleum 12,033 20.3 9,122 4.0 Total 59,147 100.0 229,096 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

449

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Missouri Nuclear Profile 2010 Missouri profile Missouri Nuclear Profile 2010 Missouri profile Missouri total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,190 5.5 8,996 9.7 Coal 12,070 55.5 75,047 81.3 Hydro and Pumped Storage 1,221 5.6 2,427 2.6 Natural Gas 5,579 25.7 4,690 5.1 Other 1 - - 39 * Other Renewable1 466 2.1 988 1.1 Petroleum 1,212 5.6 126 0.1 Total 21,739 100.0 92,313 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

450

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Alabama Nuclear Profile 2010 Alabama profile Alabama Nuclear Profile 2010 Alabama profile Alabama total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,043 15.6 37,941 24.9 Coal 11,441 35.3 63,050 41.4 Hydro and Pumped Storage 3,272 10.1 8,704 5.7 Natural Gas 11,936 36.8 39,235 25.8 Other1 100 0.3 643 0.4 Other Renewable1 583 1.8 2,377 1.6 Petroleum 43 0.1 200 0.1 Total 32,417 100.0 152,151 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

451

EIA - State Nuclear Profiles  

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

Virginia profile Virginia profile Virginia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,501 14.5 26,572 36.4 Coal 5,868 24.3 25,459 34.9 Hydro and Pumped Storage 4,107 17.0 10 * Natural Gas 7,581 31.4 16,999 23.3 Other 1 - - 414 0.6 Other Renewable1 621 2.6 2,220 3.0 Petroleum 2,432 10.1 1,293 1.8 Total 24,109 100.0 72,966 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

452

EIA - State Nuclear Profiles  

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

Arizona Nuclear Profile 2010 Arizona profile Arizona Nuclear Profile 2010 Arizona profile Arizona total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,937 14.9 31,200 27.9 Coal 6,233 23.6 43,644 39.1 Hydro and Pumped Storage 2,937 11.1 6,831 6.1 Natural Gas 13,012 49.3 29,676 26.6 Other 1 - - 15 * Other Renewable1 181 0.7 319 0.3 Petroleum 93 0.4 66 0.1 Total 26,392 100.0 111,751 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

453

EIA - State Nuclear Profiles  

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

Minnesota Nuclear Profile 2010 Minnesota profile Minnesota Nuclear Profile 2010 Minnesota profile Minnesota total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,549 10.8 13,478 25.1 Coal 4,789 32.5 28,083 52.3 Hydro and Pumped Storage 193 1.3 840 1.6 Natural Gas 4,936 33.5 4,341 8.1 Other 1 13 0.1 258 0.5 Other Renewable1 2,395 16.3 6,640 12.4 Petroleum 795 5.4 31 0.1 Total 14,715 100.0 53,670 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

454

EIA - State Nuclear Profiles  

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

Michigan Nuclear Profile 2010 Michigan profile Michigan Nuclear Profile 2010 Michigan profile Michigan total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,947 13.2 29,625 26.6 Coal 11,531 38.7 65,604 58.8 Hydro and Pumped Storage 2,109 7.1 228 0.2 Natural Gas 11,033 37.0 12,249 11.0 Other 1 - - 631 0.6 Other Renewable1 571 1.9 2,832 2.5 Petroleum 640 2.1 382 0.3 Total 29,831 100.0 111,551 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

455

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Texas profile Texas profile Texas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,966 4.6 41,335 10.0 Coal 22,335 20.6 150,173 36.5 Hydro and Pumped Storage 689 0.6 1,262 0.3 Natural Gas 69,291 64.0 186,882 45.4 Other 1 477 0.4 3,630 0.9 Other Renewable1 10,295 9.5 27,705 6.7 Petroleum 204 0.2 708 0.2 Total 108,258 100.0 411,695 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

456

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Louisiana Nuclear Profile 2010 Louisiana profile Louisiana Nuclear Profile 2010 Louisiana profile Louisiana total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (nw) Share of State total (percent) Net generation (thousand nwh) Share of State total (percent) Nuclear 2,142 8.0 18,639 18.1 Coal 3,417 12.8 23,924 23.3 Hydro and Pumped Storage 192 0.7 1,109 1.1 Natural Gas 19,574 73.2 51,344 49.9 Other 1 213 0.8 2,120 2.1 Other Renewable1 325 1.2 2,468 2.4 Petroleum 881 3.3 3,281 3.2 Total 26,744 100.0 102,885 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

457

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Vermont profile Vermont profile Vermont total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 620 55.0 4,782 72.2 Hydro and Pumped Storage 324 28.7 1,347 20.3 Natural Gas - - 4 0.1 Other Renewable1 84 7.5 482 7.3 Petroleum 100 8.9 5 0.1 Total 1,128 100.0 6,620 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. - = No data reported. Notes: Totals may not equal sum of components due to independent rounding. Other Renewable: Wood, black liquor, other wood waste, biogenic municipal solid waste, landfill gas, sludge waste, agriculture byproducts, other biomass, geothermal, solar thermal, photovoltaic energy, and wind.

458

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Illinois Nuclear Profile 2010 Illinois profile Illinois Nuclear Profile 2010 Illinois profile Illinois total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 11,441 25.9 96,190 47.8 Coal 15,551 35.2 93,611 46.5 Hydro and Pumped Storage 34 0.1 119 0.1 Natural Gas 13,771 31.2 5,724 2.8 Other 1 145 0.3 461 0.2 Other Renewable1 2,078 4.7 5,138 2.6 Petroleum 1,106 2.5 110 0.1 Total 44,127 100.0 201,352 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

459

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Jersey Nuclear Profile 2010 New Jersey profile Jersey Nuclear Profile 2010 New Jersey profile New Jersey total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,108 22.3 32,771 49.9 Coal 2,036 11.1 6,418 9.8 Hydro and Pumped Storage 404 2.2 -176 -0.3 Natural Gas 10,244 55.6 24,902 37.9 Other 1 56 0.3 682 1.0 Other Renewable1 226 1.2 850 1.3 Petroleum 1,351 7.3 235 0.4 Total 18,424 100.0 65,682 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

460

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Iowa Nuclear Profile 2010 Iowa profile Iowa Nuclear Profile 2010 Iowa profile Iowa total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 601 4.1 4,451 7.7 Coal 6,956 47.7 41,283 71.8 Hydro and Pumped Storage 144 1.0 948 1.6 Natural Gas 2,299 15.8 1,312 2.3 Other Renewable1 3,584 24.6 9,360 16.3 Petroleum 1,007 6.9 154 .0.3 Total 14,592 100.0 57,509 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

Note: This page contains sample records for the topic "median state income" 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

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Minnesota Nuclear Profile 2010 Minnesota profile Minnesota Nuclear Profile 2010 Minnesota profile Minnesota total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,549 10.8 13,478 25.1 Coal 4,789 32.5 28,083 52.3 Hydro and Pumped Storage 193 1.3 840 1.6 Natural Gas 4,936 33.5 4,341 8.1 Other 1 13 0.1 258 0.5 Other Renewable1 2,395 16.3 6,640 12.4 Petroleum 795 5.4 31 0.1 Total 14,715 100.0 53,670 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

462

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Arkansas Nuclear Profile 2010 Arkansas profile Arkansas Nuclear Profile 2010 Arkansas profile Arkansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State ttal (percent) Nuclear 1,835 11.5 15,023 24.6 Coal 4,535 28.4 28,152 46.2 Hydro and Pumped Storage 1,369 8.6 3,658 6.0 Natural Gas 7,894 49.4 12,469 20.4 Other 1 - - 28 * Other Renewable1 326 2.0 1,624 2.7 Petroleum 22 0.1 45 0.1 Total 15,981 100.0 61,000 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable * = Absolute percentage less than 0.05.

463

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Nebraska Nuclear Profile 2010 Nebraska profile Nebraska Nuclear Profile 2010 Nebraska profile Nebraska total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,245 15.8 11,054 30.2 Coal 3,932 50.0 23,368 63.8 Hydro and Pumped Storage 278 3.5 1,314 3.6 Natural Gas 1,864 23.5 375 1.0 Other Renewable1 165 2.1 493 1.3 Petroleum 387 4.9 31 0.1 Total 7,857 100.0 36,630 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

464

EIA - State Nuclear Profiles  

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

Mississippi Nuclear Profile 2010 Mississippi profile Mississippi Nuclear Profile 2010 Mississippi profile Mississippi total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,251 8.0 9,643 17.7 Coal 2,526 16.1 13,629 25.0 Natural Gas 11,640 74.2 29,619 54.4 Other 1 4 * 10 * Other Renewable1 235 1.5 1,504 2.8 Petroleum 35 0.2 18 0.1 Total 15,691 100.0 54,487 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05. Notes: Totals may not equal sum of components due to independent rounding.

465

EIA - State Nuclear Profiles  

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

Vermont profile Vermont profile Vermont total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 620 55.0 4,782 72.2 Hydro and Pumped Storage 324 28.7 1,347 20.3 Natural Gas - - 4 0.1 Other Renewable1 84 7.5 482 7.3 Petroleum 100 8.9 5 0.1 Total 1,128 100.0 6,620 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. - = No data reported. Notes: Totals may not equal sum of components due to independent rounding. Other Renewable: Wood, black liquor, other wood waste, biogenic municipal solid waste, landfill gas, sludge waste, agriculture byproducts, other biomass, geothermal, solar thermal, photovoltaic energy, and wind.

466

EIA - State Nuclear Profiles  

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

Arkansas Nuclear Profile 2010 Arkansas profile Arkansas Nuclear Profile 2010 Arkansas profile Arkansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State ttal (percent) Nuclear 1,835 11.5 15,023 24.6 Coal 4,535 28.4 28,152 46.2 Hydro and Pumped Storage 1,369 8.6 3,658 6.0 Natural Gas 7,894 49.4 12,469 20.4 Other 1 - - 28 * Other Renewable1 326 2.0 1,624 2.7 Petroleum 22 0.1 45 0.1 Total 15,981 100.0 61,000 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable * = Absolute percentage less than 0.05.

467

EIA - State Nuclear Profiles  

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

Kansas Nuclear Profile 2010 Kansas profile Kansas Nuclear Profile 2010 Kansas profile Kansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,160 9.2 9,556 19.9 Coal 5,179 41.3 32,505 67.8 Hydro and Pumped Storage 3 * 13 * Natural Gas 4,573 36.5 2,287 4.8 Other Renewable1 1,079 8.6 3,459 7.2 Petroleum 550 4.4 103 0.2 Total 12,543 100.0 47,924 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05. Notes: Totals may not equal sum of components due to independent rounding.

468

EIA - State Nuclear Profiles  

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

Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 9,540 20.9 77,828 33.9 Coal 18,481 40.6 110,369 48.0 Hydro and Pumped Storage 2,268 5.0 1,624 0.7 Natural Gas 9,415 20.7 33,718 14.7 Other 1 100 0.2 1,396 0.6 Other Renewable1 1,237 2.7 4,245 1.8 Petroleum 4,534 9.9 571 0.2 Total 45,575 100.0 229,752 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

469

EIA - State Nuclear Profiles  

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

Tennessee profile Tennessee profile Tennessee total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,401 15.9 27,739 33.7 Coal 8,805 41.1 43,670 53.0 Hydro and Pumped Storage 4,277 20.0 7,416 9.0 Natural Gas 4,655 21.7 2,302 2.8 Other 1 - - 16 * Other Renewable1 222 1.0 988 1.2 Petroleum 58 0.3 217 0.3 Total 21,417 100.0 82,349 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

470

EIA - State Nuclear Profiles  

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

Ohio Nuclear Profile 2010 Ohio profile Ohio Nuclear Profile 2010 Ohio profile Ohio total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,134 6.5 15,805 11.0 Coal 21,360 64.6 117,828 82.1 Hydro and Pumped Storage 101 0.3 429 0.3 Natural Gas 8,203 24.8 7,128 5.0 Other 1 123 0.4 266 0.2 Other Renewable1 130 0.4 700 0.5 Petroleum 1,019 3.1 1,442 1.0 Total 33,071 100.0 143,598 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

471

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Arizona Nuclear Profile 2010 Arizona profile Arizona Nuclear Profile 2010 Arizona profile Arizona total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,937 14.9 31,200 27.9 Coal 6,233 23.6 43,644 39.1 Hydro and Pumped Storage 2,937 11.1 6,831 6.1 Natural Gas 13,012 49.3 29,676 26.6 Other 1 - - 15 * Other Renewable1 181 0.7 319 0.3 Petroleum 93 0.4 66 0.1 Total 26,392 100.0 111,751 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

472

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Virginia profile Virginia profile Virginia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,501 14.5 26,572 36.4 Coal 5,868 24.3 25,459 34.9 Hydro and Pumped Storage 4,107 17.0 10 * Natural Gas 7,581 31.4 16,999 23.3 Other 1 - - 414 0.6 Other Renewable1 621 2.6 2,220 3.0 Petroleum 2,432 10.1 1,293 1.8 Total 24,109 100.0 72,966 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

473

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

South Carolina profile South Carolina profile South Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 6,486 27.0 51,988 49.9 Coal 7,230 30.1 37,671 36.2 Hydro and Pumped Storage 4,006 16.7 1,442 1.4 Natural Gas 5,308 22.1 10,927 10.5 Other 1 - - 61 0.1 Other Renewable1 284 1.2 1,873 1.8 Petroleum 670 2.8 191 0.2 Total 23,982 100.0 104,153 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. - = No data reported.

474

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Kansas Nuclear Profile 2010 Kansas profile Kansas Nuclear Profile 2010 Kansas profile Kansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,160 9.2 9,556 19.9 Coal 5,179 41.3 32,505 67.8 Hydro and Pumped Storage 3 * 13 * Natural Gas 4,573 36.5 2,287 4.8 Other Renewable1 1,079 8.6 3,459 7.2 Petroleum 550 4.4 103 0.2 Total 12,543 100.0 47,924 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05. Notes: Totals may not equal sum of components due to independent rounding.

475

EIA - State Nuclear Profiles  

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

Jersey Nuclear Profile 2010 New Jersey profile Jersey Nuclear Profile 2010 New Jersey profile New Jersey total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,108 22.3 32,771 49.9 Coal 2,036 11.1 6,418 9.8 Hydro and Pumped Storage 404 2.2 -176 -0.3 Natural Gas 10,244 55.6 24,902 37.9 Other 1 56 0.3 682 1.0 Other Renewable1 226 1.2 850 1.3 Petroleum 1,351 7.3 235 0.4 Total 18,424 100.0 65,682 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

476

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Washington profile Washington profile Washington total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,097 3.6 9,241 8.9 Coal 1,340 4.4 8,527 8.2 Hydro and Pumped Storage 21,495 70.5 68,342 66.0 Natural Gas 3,828 12.6 10,359 10.0 Other 1 - - 354 0.3 Other Renewable1 2,703 8.9 6,617 6.4 Petroleum 15 * 32 * Total 30,478 100.0 103,473 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

477

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Maryland Nuclear Profile 2010 Maryland profile Maryland Nuclear Profile 2010 Maryland profile Maryland total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (Percent) Nuclear 1,705 13.6 13,994 32.1 Coal 4,886 39.0 23,668 54.3 Hydro and Pumped Storage 590 4.7 1,667 3.8 Natural Gas 2,041 16.3 2,897 6.6 Other 1 152 1.2 485 1.1 Other Renewable1 209 1.7 574 1.3 Petroleum 2,933 23.4 322 0.7 Total 12,516 100.0 43,607 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

478

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 9,540 20.9 77,828 33.9 Coal 18,481 40.6 110,369 48.0 Hydro and Pumped Storage 2,268 5.0 1,624 0.7 Natural Gas 9,415 20.7 33,718 14.7 Other 1 100 0.2 1,396 0.6 Other Renewable1 1,237 2.7 4,245 1.8 Petroleum 4,534 9.9 571 0.2 Total 45,575 100.0 229,752 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

479

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Wisconsin profile Wisconsin profile Wisconsin total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,584 8.9 13,281 20.7 Coal 8,063 45.2 40,169 62.5 Hydro and Pumped Storage 492 2.8 2,112 3.3 Natural Gas 6,110 34.3 5,497 8.5 Other 1 21 0.1 63 0.1 Other Renewable1 775 4.3 2,474 3.8 Petroleum 790 4.4 718 1.1 Total 17,836 100.0 64,314 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

480

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Hampshire Nuclear Profile 2010 New Hampshire profile Hampshire Nuclear Profile 2010 New Hampshire profile New Hampshire total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,247 29.8 10,910 49.2 Coal 546 13.1 3,083 13.9 Hydro and Pumped Storage 489 11.7 1,478 6.7 Natural Gas 1,215 29.1 5,365 24.2 Other 1 - - 57 0.3 Other Renewable1 182 4.4 1,232 5.6 Petroleum 501 12.0 72 0.3 Total 4,180 100.0 22,196 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

Note: This page contains sample records for the topic "median state income" 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

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

North Carolina Nuclear Profile 2010 North Carolina profile North Carolina Nuclear Profile 2010 North Carolina profile North Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,958 17.9 40,740 31.7 Coal 12,766 46.1 71,951 55.9 Hydro and Pumped Storage 2,042 7.4 4,757 3.7 Natural Gas 6,742 24.4 8,447 6.6 Other 1 50 0.2 407 0.3 Other Renewable1 543 2.0 2,083 1.6 Petroleum 573 2.1 293 0.2 Total 27,674 100.0 128,678 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

482

EIA - State Nuclear Profiles  

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

Hampshire Nuclear Profile 2010 New Hampshire profile Hampshire Nuclear Profile 2010 New Hampshire profile New Hampshire total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,247 29.8 10,910 49.2 Coal 546 13.1 3,083 13.9 Hydro and Pumped Storage 489 11.7 1,478 6.7 Natural Gas 1,215 29.1 5,365 24.2 Other 1 - - 57 0.3 Other Renewable1 182 4.4 1,232 5.6 Petroleum 501 12.0 72 0.3 Total 4,180 100.0 22,196 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

483

EIA - State Nuclear Profiles  

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

Georgia Nuclear Profile 2010 Georgia profile Georgia Nuclear Profile 2010 Georgia profile Georgia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,061 11.1 33,512 24.6 Coal 13,230 36.1 73,298 54.0 Hydro and Pumped Storage 3,851 10.5 3,044 2.7 Natural Gas 12,668 34.6 23,884 15.9 Other 1 - - 18 * Other Renewable1 637 1.7 3,181 2.2 Petroleum 2,189 6.0 641 0.5 Total 36,636 100.0 128,698 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

484

EIA - State Nuclear Profiles  

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

Alabama Nuclear Profile 2010 Alabama profile Alabama Nuclear Profile 2010 Alabama profile Alabama total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,043 15.6 37,941 24.9 Coal 11,441 35.3 63,050 41.4 Hydro and Pumped Storage 3,272 10.1 8,704 5.7 Natural Gas 11,936 36.8 39,235 25.8 Other1 100 0.3 643 0.4 Other Renewable1 583 1.8 2,377 1.6 Petroleum 43 0.1 200 0.1 Total 32,417 100.0 152,151 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

485

EIA - State Nuclear Profiles  

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

Missouri Nuclear Profile 2010 Missouri profile Missouri Nuclear Profile 2010 Missouri profile Missouri total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,190 5.5 8,996 9.7 Coal 12,070 55.5 75,047 81.3 Hydro and Pumped Storage 1,221 5.6 2,427 2.6 Natural Gas 5,579 25.7 4,690 5.1 Other 1 - - 39 * Other Renewable1 466 2.1 988 1.1 Petroleum 1,212 5.6 126 0.1 Total 21,739 100.0 92,313 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

486

EIA - State Nuclear Profiles  

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

California Nuclear Profile 2010 California profile California Nuclear Profile 2010 California profile California total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,390 6.5 32,201 15.8 Coal 374 0.6 2,100 1.0 Hydro and Pumped Storage 13,954 20.7 33,260 16.3 Natural Gas 41,370 61.4 107,522 52.7 Other 1 220 0.3 2,534 1.2 Other Renewable1 6,319 9.4 25,450 12.5 Petroleum 701 1.0 1,059 0.5 Total 63,328 100.0 204,126 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

487

EIA - State Nuclear Profiles  

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

Maryland Nuclear Profile 2010 Maryland profile Maryland Nuclear Profile 2010 Maryland profile Maryland total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (Percent) Nuclear 1,705 13.6 13,994 32.1 Coal 4,886 39.0 23,668 54.3 Hydro and Pumped Storage 590 4.7 1,667 3.8 Natural Gas 2,041 16.3 2,897 6.6 Other 1 152 1.2 485 1.1 Other Renewable1 209 1.7 574 1.3 Petroleum 2,933 23.4 322 0.7 Total 12,516 100.0 43,607 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

488

EIA - State Nuclear Profiles  

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

Washington profile Washington profile Washington total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,097 3.6 9,241 8.9 Coal 1,340 4.4 8,527 8.2 Hydro and Pumped Storage 21,495 70.5 68,342 66.0 Natural Gas 3,828 12.6 10,359 10.0 Other 1 - - 354 0.3 Other Renewable1 2,703 8.9 6,617 6.4 Petroleum 15 * 32 * Total 30,478 100.0 103,473 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.