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


1

National Energy Modeling System (NEMS)  

DOE Data Explorer (OSTI)

The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. through 2030. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). NEMS can be used to analyze the effects of existing and proposed government laws and regulations related to energy production and use; the potential impact of new and advanced energy production, conversion, and consumption technologies; the impact and cost of greenhouse gas control; the impact of increased use of renewable energy sources; and the potential savings from increased efficiency of energy use; and the impact of regulations on the use of alternative or reformulated fuels. NEMS has also been used for a number of special analyses at the request of the Administration, U.S. Congress, other offices of DOE and other government agencies, who specify the scenarios and assumptions for the analysis. Modules allow analyses to be conducted in energy topic areas such as residential demand, industrial demand, electricity market, oil and gas supply, renewable fuels, etc.

2

DOE Hydrogen Analysis Repository: NEMS-H2 (National Energy Modeling...  

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

economic aspects of hydrogen production, delivery, and consumption. Keywords: Energy prices; emissions; production; imports; energy consumption; economic Purpose NEMS projects...

3

National Energy Modeling System (NEMS) | Open Energy Information  

Open Energy Info (EERE)

National Energy Modeling System (NEMS) National Energy Modeling System (NEMS) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: National Energy Modeling System (NEMS) Agency/Company /Organization: Energy Information Administration Sector: Energy Focus Area: Economic Development Phase: Develop Goals Topics: Policies/deployment programs Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.eia.gov/oiaf/aeo/overview/index.html OpenEI Keyword(s): EERE tool, National Energy Modeling System, NEMS Language: English References: The National Energy Modeling System: An Overview[1] Project the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and

4

Availability of the National Energy Modeling System (NEMS) Archive.  

U.S. Energy Information Administration (EIA)

Availability of the National Energy Modeling System (NEMS) Archive. NEMS has been developed primarily for use by the modelers at Energy Information

5

The National Energy Modeling System: An Overview 2000 - Overview of NEMS  

Gasoline and Diesel Fuel Update (EIA)

NEMS represents domestic energy markets by explicitly representing the economic decision making involved in the production, conversion, and consumption of energy products. Where possible, NEMS includes explicit representation of energy technologies and their characteristics. NEMS represents domestic energy markets by explicitly representing the economic decision making involved in the production, conversion, and consumption of energy products. Where possible, NEMS includes explicit representation of energy technologies and their characteristics. Since energy costs and availability and energy-consuming characteristics can vary widely across regions, considerable regional detail is included. Other details of production and consumption categories are represented to facilitate policy analysis and ensure the validity of the results. A summary of the detail provided in NEMS is shown below. Summary Table Major Assumptions Each module of NEMS embodies many assumptions and data to characterize the future production, conversion, or consumption of energy in the United States. Two major assumptions concern economic growth in the United States and world oil prices, as determined by world oil supply and demand.

6

Industrial Demand Module 1999, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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

T. Crawford Honeycutt

1999-01-01T23:59:59.000Z

7

Industrial Demand Module 2005, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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

T. C. Honeycutt

2005-05-01T23:59:59.000Z

8

Industrial Demand Module 2006, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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

T. C. Honeycutt

2006-07-01T23:59:59.000Z

9

Industrial Demand Module 2009, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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

T. C. Honeycutt

2009-05-20T23:59:59.000Z

10

Industrial Demand Module 2003, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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

T. Crawford Honeycutt

2003-12-01T23:59:59.000Z

11

Industrial Demand Module 2007, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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

T. C. Honeycutt

2007-03-21T23:59:59.000Z

12

Industrial Demand Module 2002, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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

T. Crawford Honeycutt

2001-12-01T23:59:59.000Z

13

Industrial Demand Module 2001, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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

T. Crawford Honeycutt

2000-12-01T23:59:59.000Z

14

Industrial Demand Module 2008, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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

T. C. Honeycutt

2008-06-01T23:59:59.000Z

15

Industrial Demand Module 2000, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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

T. Crawford Honeycutt

2000-01-01T23:59:59.000Z

16

Industrial Demand Module 2004, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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

T. Crawford Honeycutt

2004-02-01T23:59:59.000Z

17

Industrial Demand Module 1998, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description ofthe NEMS Industrial Model for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in supportof its models (Public Law 94-385, section 57.b2). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.

T. Crawford Honeycutt

1998-01-01T23:59:59.000Z

18

NEMS industrial module documentation report  

SciTech Connect

The NEMS Industrial Demand Model is a dynamic accounting model, bringing together the disparate industries and uses of energy in those industries, and putting them together in an understandable and cohesive framework. The Industrial Model generates mid-term (up to the year 2010) forecasts of industrial sector energy demand as a component of the NEMS integrated forecasting system. From the NEMS system, the Industrial Model receives fuel prices, employment data, and the value of output of industrial activity. Based on the values of these variables, the Industrial Model passes back to the NEMS system estimates of consumption by fuel types.

1994-01-01T23:59:59.000Z

19

NEMS integrating module documentation report  

Science Conference Proceedings (OSTI)

The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to a variety of assumptions. The assumptions encompass macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, technology characteristics, and demographics. NEMS produces a general equilibrium solution for energy supply and demand in the U.S. energy markets on an annual basis through 2015. Baseline forecasts from NEMS are published in the Annual Energy Outlook. Analyses are also prepared in response to requests by the U.S. Congress, the DOE Office of Policy, and others. NEMS was first used for forecasts presented in the Annual Energy Outlook 1994.

NONE

1997-05-01T23:59:59.000Z

20

A sensitivity analysis of the treatment of wind energy in the AEO99 version of NEMS  

E-Print Network (OSTI)

and maintenance (O&M) costs, renewable energy productionrenewable energy technologies are modeled becomes critical. The structure of NEMS makes cost

Osborn, Julie G.; Wood, Frances; Richey, Cooper; Sanders, Sandy; Short, Walter; Koomey, Jonathan

2001-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "nems energy price" 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

U.S. Regional Energy Demand Forecasts Using NEMS and GIS  

E-Print Network (OSTI)

LBNL-57955 U.S. Regional Energy Demand Forecasts Using NEMS and GIS Jesse A. Cohen, Jennifer L Efficiency and Renewable Energy, Office of Planning, Budget, and Analysis of the U.S. Department of Energy-57955 U.S. Regional Energy Demand Forecasts Using NEMS and GIS Prepared for the Office of Planning

22

The National Energy Modeling System: An Overview 1998 - Overview of NEMS  

Gasoline and Diesel Fuel Update (EIA)

OVERVIEW OF NEMS OVERVIEW OF NEMS blueball.gif (205 bytes) Major Assumptions blueball.gif (205 bytes) NEMS Modular Structure blueball.gif (205 bytes) Integrating Module NEMS represents domestic energy markets by explicitly representing the economic decisionmaking involved in the production, conversion, and consumption of energy products. For example, the penetration of a new or advanced technology for electricity generation is projected only if the technology is deemed to be economic when considering the cost-minimizing mix of fuels over the life of the equipment. Since energy costs and availability and energy- consuming characteristics can vary widely across regions, considerable regional detail is included. Other details of production and consumption categories are represented to

23

EIA Energy Prices  

U.S. Energy Information Administration (EIA)

This publication includes total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, ...

24

PRICE GOUGING | Department of Energy  

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

PRICE GOUGING PRICE GOUGING PRICE GOUGING More Documents & Publications PRICE GOUGING Department of Energy Response to Hurricane Katrina Fact Sheet Department of Energy Response to...

25

Learning and cost reductions for generating technologies in the national energy modeling system (NEMS)  

SciTech Connect

This report describes how Learning-by-Doing (LBD) is implemented endogenously in the National Energy Modeling System (NEMS) for generating plants. LBD is experiential learning that correlates to a generating technology's capacity growth. The annual amount of Learning-by-Doing affects the annual overnight cost reduction. Currently, there is no straightforward way to integrate and make sense of all the diffuse information related to the endogenous learning calculation in NEMS. This paper organizes the relevant information from the NEMS documentation, source code, input files, and output files, in order to make the model's logic more accessible. The end results are shown in three ways: in a simple spreadsheet containing all the parameters related to endogenous learning; by an algorithm that traces how the parameters lead to cost reductions; and by examples showing how AEO 2004 forecasts the reduction of overnight costs for generating technologies over time.

Gumerman, Etan; Marnay, Chris

2004-01-16T23:59:59.000Z

26

NEMS integrating module documentation report  

Science Conference Proceedings (OSTI)

The National Energy Modeling System (NEMS) is a computer modeling system that produces a general equilibrium solution for energy supply and demand in the US energy markets. The model achieves a supply and demand balance in the end-use demand regions, defined as the nine Census Divisions, by solving for the prices of each energy type such that the quantities producers are willing to supply equal the quantities consumers wish to consume. The system reflects market economics, industry structure, and energy policies and regulations that influence market behavior. The NEMS Integrating Module is the central integrating component of a complex modeling system. As such, a thorough understanding of its role in the modeling process can only be achieved by placing it in the proper context with respect to the other modules. To that end, this document provides an overview of the complete NEMS model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Not Available

1993-12-14T23:59:59.000Z

27

A sensitivity analysis of the treatment of wind energy in the AEO99 version of NEMS  

E-Print Network (OSTI)

presents forecasts of energy supply, demand and pricesa reference case forecast with fossil fuel prices close toforecast for wind technologies. The AEO’s annual report of energy supply, demand, and prices

Osborn, Julie G.; Wood, Frances; Richey, Cooper; Sanders, Sandy; Short, Walter; Koomey, Jonathan

2001-01-01T23:59:59.000Z

28

Incorporating uncertainty in vehicle miles traveled projections of the National Energy Modeling System.  

E-Print Network (OSTI)

??The National Energy Modeling System (NEMS) is a computational model that forecasts the production, consumption, and prices of energy in the United States. Although NEMS… (more)

Poetting, David Michael

2011-01-01T23:59:59.000Z

29

EIA Buildings Analysis of Consumer Behavior in NEMS  

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

Buildings Analysis of Consumer Buildings Analysis of Consumer Behavior in NEMS Behavioral Economics Experts Meeting July 17, 2013 | Washington, DC David Peterson Buildings Energy Consumption and Efficiency Analysis Overview Behavioral Economics Experts Meeting, Washington DC, July 17, 2013 2 * NEMS Structure * Housing/floorspace and service demand in Residential Demand Module (RDM) and Commercial Demand Module (CDM) * Market share calculation for equipment in RDM and CDM * Price responses / elasticities * Distributed generation (DG) & combined heat and power (CHP) NEMS Structure Behavioral Economics Experts Meeting, Washington DC, July 17, 2013 3 * Represents energy supply, conversion, and demand in a unified, but modular system * Detailed structural and process models in most energy sectors

30

A sensitivity analysis of the treatment of wind energy in the AEO99 version of NEMS  

DOE Green Energy (OSTI)

Each year, the U.S. Department of Energy's Energy Information Administration (EIA) publishes a forecast of the domestic energy economy in the Annual Energy Outlook (AEO). During the forecast period of the AEO (currently through 2020), renewable energy technologies have typically not achieved significant growth. The contribution of renewable technologies as electric generators becomes more important, however, in scenarios analyzing greenhouse gas emissions reductions or significant technological advancements. We examined the economic assumptions about wind power used for producing forecasts with the National Energy Modeling System (NEMS) to determine their influence on the projected capacity expansion of this technology. This analysis should help illustrate to policymakers what types of issues may affect wind development, and improve the general understanding of the NEMS model itself. Figure 1 illustrates the model structure and factors relevant to wind deployment. We found that NEMS uses various cost multipliers and constraints to represent potential physical and economic limitations to growth in wind capacity, such as resource depletion, costs associated with rapid manufacturing expansion, and grid stability with high levels of capacity from intermittent resources. The model's flexibility allows the user to make alternative assumptions about the magnitude of these factors. While these assumptions have little effect on the Reference Case forecast for the 1999 edition of the AEO, they can make a dramatic difference when wind is more attractive, such as under a carbon permit trading system. With $100/ton carbon permits, the wind capacity projection for 2020 ranges from 15 GW in the unaltered model (AEO99 Reference Case) to 168 GW in the extreme case when all the multipliers and constraints examined in this study are removed. Furthermore, if modifications are made to the model allowing inter-regional transmission of electricity, wind capacity is forecast to reach 214 GW when all limitations are removed. The figures in the upper end of these ranges are not intended to be viewed as reasonable projections, but their magnitude illustrates the importance of the parameters governing the growth of wind capacity and resource availability in forecasts using NEMS. In addition, many uncertainties exist regarding these assumptions that potentially affect the growth of wind power. We suggest several areas in which to focus future research in order to better model the potential development of this resource. Because many of the assumptions related to wind in the model are also used for other renewable technologies, these suggestions could be applied to other renewable resources as well.

Osborn, Julie G; Wood, Frances; Richey, Cooper; Sanders, Sandy; Short, Walter; Koomey, Jonathan

2001-01-01T23:59:59.000Z

31

Energy prices, production  

E-Print Network (OSTI)

on 0 1 2 3 4 5 6 7 8 9 price U K P ./kW h CHP adoption electyricity price to gas price ratio Figure 3. Energy price and CHP annual adoption (UK). Source: DTI (2002b) -5.00% 0.00% 5.00% 10.00% 15.00% 20... .00% 199119921993199419951996199719981999200020012002 an nu al g ro w th r at e in C H P a do pt io n 0 0.2 0.4 0.6 0.8 1 1.2 1.4 price U K P ./kW h CHP adoption Gas price 10 Gas prices leveled off from 1996 onwards and then increased considerably growing by 33% during 1999-2002. In recent...

Bonilla, David

32

Comparison of Bottom-Up and Top-Down Forecasts: Vision Industry Energy Forecasts with ITEMS and NEMS  

E-Print Network (OSTI)

Comparisons are made of energy forecasts using results from the Industrial module of the National Energy Modeling System (NEMS) and an industrial economic-engineering model called the Industrial Technology and Energy Modeling System (ITEMS), a model developed for industrial energy analysis at the Pacific Northwest National Laboratory. Although the results are mixed, generally ITEMS show greater penetration of energy efficient technologies and thus lower energy use, even though the business as usual forecasts for ITEMS uses a higher discount rate than NEMS uses.

Roop, J. M.; Dahowski, R. T

2000-04-01T23:59:59.000Z

33

energy prices | OpenEI  

Open Energy Info (EERE)

prices prices 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)

34

Price Comparison - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. Consumption & Efficiency. Energy use in homes, commercial buildings, ...

35

Nano-Electro-Mechanical (NEM) Relay Devices and Technology for Ultra-Low Energy Digital Integrated Circuits  

E-Print Network (OSTI)

Technology 3.1 Introduction Nano-electro-mechanical (NEM)improvements, a scaled nano-relay technology with optimizedNano-Electro-Mechanical (NEM) Relay Devices and Technology

Nathanael, Rhesa

2012-01-01T23:59:59.000Z

36

Price, Utah: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon Price, Utah: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates...

37

A sensitivity analysis of the treatment of wind energy in the AEO99 version of NEMS  

E-Print Network (OSTI)

Documentation Report: Wind Energy Submodule (WES). DOE/EIA-The Economic Value of Wind Energy at High Power System5 The Wind Energy Submodule (

Osborn, Julie G.; Wood, Frances; Richey, Cooper; Sanders, Sandy; Short, Walter; Koomey, Jonathan

2001-01-01T23:59:59.000Z

38

State Energy Price and Expenditure Estimates  

U.S. Energy Information Administration (EIA)

2010 Price and Expenditure Summary Tables. Table E1. Primary Energy, Electricity, ... Ranked by State, 2010 Rank Prices Expenditures Expenditures per Person State

39

A SENSITIVITY ANALYSIS OF THE TREATMENT OF WIND ENERGY IN THE AEO99 VERSION OF NEMS  

E-Print Network (OSTI)

LBNL-44070 TP-28529 A SENSITIVITY ANALYSIS OF THE TREATMENT OF WIND ENERGY IN THE AEO99 VERSION and market penetration on the U.S. Department of Energy's Annual Energy Outlook (AEO) forecast for wind supply mix remains fairly steady, and renewable energy technologies such as wind do not achieve

40

U.S. Energy Information Administration NEMS Petroleum Market Model Documentation  

E-Print Network (OSTI)

This report was prepared by the U.S. Energy Information Administration, the independent statistical and analytical agency within

unknown authors

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "nems energy price" 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

A sensitivity analysis of the treatment of wind energy in the AEO99 version of NEMS  

E-Print Network (OSTI)

cost to further test the effects of the assumptions about wind energyEnergy Outlook 1999, December 1998. Although the cost of windcost of wind in the input file by half (before learning-by-doing and other factors are assessed) is tested, wind energy

Osborn, Julie G.; Wood, Frances; Richey, Cooper; Sanders, Sandy; Short, Walter; Koomey, Jonathan

2001-01-01T23:59:59.000Z

42

Assessment and Suggestions to Improve the Commercial Building Module of EIA-NEMS  

E-Print Network (OSTI)

The National Energy Modeling System (NEMS) is a comprehensive, computer-based, energy-economy modeling system developed and maintained by the Department of Energy's Energy Information Administration (EIA). NEMS forecasts the national production, imports, conversion, consumption, and prices of energy out to 2015, subject to macroeconomic assumptions, world energy markets, resource availability and costs, technological developments, and behavioral and technological choice criteria. NEMS has nine program modules of which the Commercial Sector Demand (CSD) module is one. Currently the CSD module uses a matrix of Energy Use Intensities (EUls) gleaned from the 1989 CBECS database to model service demand per major fuel type for eight different geographic census divisions and eleven different building types.

O'Neal, D. L.

1996-01-01T23:59:59.000Z

43

Today in Energy - Daily Prices - Prices - U.S. Energy Information  

Gasoline and Diesel Fuel Update (EIA)

December 20, 2013Daily Prices December 20, 2013Daily Prices Daily wholesale and retail prices for various energy products are shown below, including spot prices and select futures prices at national or regional levels. Prices are updated each weekday (excluding federal holidays), typically between 7:30 and 8:30 a.m. This page is meant to provide a snapshot of selected daily prices only. Prices are republished by EIA with permission as follows: Wholesale Spot Petroleum Prices from Thomson Reuters, Retail Petroleum Prices from AAA Fuel Gauge Report, Prompt-Month Energy Futures from CME Group, and Select Spot Prices from SNL Energy. Daily Prices Wholesale Spot Petroleum Prices, 12/19/13 Close Product Area Price Percent Change* Crude Oil ($/barrel) WTI 98.40 +0.8 Brent 110.78 +1.1 Louisiana Light 108.27 +4.9

44

Marginal Energy Prices- RECS97 Update  

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

An updated estimation of residential marginal energy prices at the individual house level using the 1997 RECS survey data

45

Marginal Energy Prices - RECS97 Update  

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

Marginal Energy Prices - RECS97 Update Marginal Energy Prices - RECS97 Update The original estimation of residential marginal energy prices at the individual household level (as reported in the Marginal Energy Prices Report, http://www.eren.doe.gov/buildings/codes_standards/applbrf/pdfs/marginal_ energy_price.pdf) was based on household energy billing data from EIA's 1993 RECS survey. When the 1997 RECS survey data became available, LBNL updated its estimation of residential marginal energy prices at the individual household level using that data. In addition, LBNL incorporated several refinements (as described below) to the marginal price estimation method it had originally developed. Presented below are the: * RECS97-based results. * Refinements to LBNL's marginal price estimation method.

46

Marginal Energy Prices - RECS97 Update  

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

Marginal Energy Prices - RECS97 Update Marginal Energy Prices - RECS97 Update The original estimation of residential marginal energy prices at the individual household level (as reported in the Marginal Energy Prices Report, http://www.eren.doe.gov/buildings/codes_standards/applbrf/pdfs/marginal_ energy_price.pdf) was based on household energy billing data from EIA's 1993 RECS survey. When the 1997 RECS survey data became available, LBNL updated its estimation of residential marginal energy prices at the individual household level using that data. In addition, LBNL incorporated several refinements (as described below) to the marginal price estimation method it had originally developed. Presented below are the: * RECS97-based results. * Refinements to LBNL's marginal price estimation method.

47

NEMS may be addressed to the following analysts:  

E-Print Network (OSTI)

This publication is on the WEB at: www.eia.doe.gov/oiaf/aeo/overview/index.html This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. PREFACE The National Energy Modeling System: An Overview provides a summary description of the National Energy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, imports, and prices through the year 2020 for the Annual Energy Outlook 2000 (AEO2000), (DOE/EIA-0383(2000)), released in November 1999. AEO2000 presents national forecasts of energy markets for five cases—a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. The Overview presents a brief description of the methodology and scope of each of the component modules of NEMS. The model documentation reports listed in the appendix of this document

An Overview; Aeo Susan H. Holte

2000-01-01T23:59:59.000Z

48

State energy price and expenditure report 1991  

SciTech Connect

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates are provided by energy source and economic sector and are published for the years 1970, 1975, 1980, and 1985 through 1991. Data for all years, 1970 through 1991, are available on personal computer diskettes. Documentation in Appendix A describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied. This report is an update of the State Energy Price and Expenditure Report 1990, published in September 1992.

1993-09-01T23:59:59.000Z

49

Appendix C: Map of NEMS Electricity Market Module Regions  

Annual Energy Outlook 2012 (EIA)

U.S. Energy Information Administration | Analysis of Impacts of a Clean Energy Standard as requested by Chairman Bingaman Appendix C: Map of NEMS Electricity Market Module Regions...

50

Appendix C. Map of NEMS Electricity Market Module Regions  

Gasoline and Diesel Fuel Update (EIA)

U.S. Energy Information Administration | Analysis of Impacts of a Clean Energy Standard as requested by Chairman Hall Appendix C. Map of NEMS Electricity Market Module Regions...

51

State energy-price system: 1981 update  

SciTech Connect

This report updates the State Energy Price Data System (STEPS) to include state-level energy prices by fuel and by end-use sectors for 1981. Both physical unit prices and Btu prices are presented. Basic documentation of the data base remains generally the same as in the original report: State Energy Price System; Volume 1: Overview and Technical Documentation (DOE/NBB-0029 Volume 1 of 2, November 1982). The present report documents only the changes in procedures necessitated by the update to 1981 and the corrections to the basic documentation.

Fang, J.M.; Imhoff, K.L.; Hood, L.J.

1983-08-01T23:59:59.000Z

52

Prices for Natural Gas | Open Energy Information  

Open Energy Info (EERE)

Prices for Natural Gas Prices for Natural Gas Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Prices for Natural Gas Agency/Company /Organization: Google Sector: Energy Focus Area: Economic Development Resource Type: Software/modeling tools User Interface: Website Website: www.google.com/publicdata/explore?ds=m49d2j928087j_ Country: United States Web Application Link: www.google.com/publicdata/explore?ds=m49d2j928087j_ Cost: Free Northern America Prices for Natural Gas Screenshot References: Public Data Explorer[1] EIA[2] Logo: Prices for Natural Gas Prices for Natural Gas Dollars per Thousand Cubic Feet and Percent in U.S. Total Represented by the Price. Overview A graphing tool that displays prices for natural gas dollars per thousand cubic feet and percent in U.S. Total represented by the price, using data

53

State energy price and expenditure report 1994  

SciTech Connect

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates developed in the State Energy Price and Expenditure Data System (SEPEDS) are provided by energy source and economic sector and are published for the years 1970 through 1994. Consumption estimates used to calculate expenditures and the documentation for those estimates are taken from the State Energy Data Report 1994, Consumption Estimates (SEDR), published in October 1996. Expenditures are calculated by multiplying the price estimates by the consumption estimates, which are adjusted to remove process fuel; intermediate petroleum products; and other consumption that has no direct fuel costs, i.e., hydroelectric, geothermal, wind, solar, and photovoltaic energy sources. Documentation is included describing the development of price estimates, data sources, and calculation methods. 316 tabs.

NONE

1997-06-01T23:59:59.000Z

54

State energy price and expenditure report 1992  

SciTech Connect

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates are provided by energy source and economic sector and are published for the years 1970, 1980, and 1985 through 1992. Data for all years, 1970 through 1992, are available on personal computer diskettes.

1994-12-01T23:59:59.000Z

55

State energy price and expenditure report 1993  

SciTech Connect

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 states and the District of Columbia and in aggregate for the US. The five economic sectors used in SEPER correspond to those used in SEDR and are residential, commercial, industrial, transportation, and electric utility. Documentation in appendices describe how the price estimates are developed, provide conversion factors for measures used in the energy analysis, and include a glossary. 65 tabs.

1995-12-01T23:59:59.000Z

56

Analysis of seasonality in energy prices  

Science Conference Proceedings (OSTI)

The identification of normal seasonal trends in energy prices is of considerable importance to budget planners and households. The purpose of this paper is to examine several key energy price series for the existence of these seasonal patterns, and to determine whether these patterns have changed over time. The prices examined are motor gasoline, heating oil, retail residual fuel oil, and residential electricity. The principal users of this analysis are energy analysts and budget planners in private industry and government.

Not Available

1986-08-01T23:59:59.000Z

57

Crude Oil Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration/Petroleum Marketing Monthly February 2012 42 Table 18. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) — Continued

58

Overview of NEMS-H2, Version 1.0  

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

NEMS-H2, Version 1.0 NEMS-H2, Version 1.0 Frances Wood OnLocation, Inc., Energy Systems Consulting (fwood@onlocationinc.com) January 26, 2006 OnLocation, Inc., Energy Systems Consulting 2 Today's Presentation * Overview of NEMS-H2 Structure * Current Status * New Hydrogen Market Module (HMM) * Transportation Module Modifications * Preliminary Test Runs * Looking Ahead to Next Phase OnLocation, Inc., Energy Systems Consulting 3 NEMS Overview * The National Energy Modeling System (NEMS) was developed and is maintained by EIA - Annual Energy Outlook projections - Congressional as well as agency requests * NEMS has also been used extensively outside of EIA - Various National Laboratories studies - National Commission on Energy Policy - Program offices within DOE for R&D benefits estimation * Modular structure allows each sector to be represented by

59

Estimating Marginal Residential Energy Prices in the Analysis...  

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

Marginal Residential Energy Prices in the Analysis of Proposed Appliance Energy Efficiency Standards Title Estimating Marginal Residential Energy Prices in the Analysis of Proposed...

60

Managing Energy Price Risk with Derivatives  

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

Managing Energy Price Risk with Derivatives Managing Energy Price Risk with Derivatives Speaker(s): Douglas Hale Date: September 18, 2003 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Joseph Eto Energy derivatives came into being with the deregulation of the petroleum and natural gas industries in the early 1980s. Although derivatives-forwards, futures and options-have been used in American agriculture since the mid-1800's to manage price risk, they were unnecessary in regulated energy industries. Deregulation revealed that oil, gas and electricity prices are exceptionally volatile. Companies were forced to cope with the uncertainty in energy prices; they latched onto derivatives as one tool for managing that risk. Enron's collapse brought energy derivatives to public attention. Following the derivative linked

Note: This page contains sample records for the topic "nems energy price" 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

Threshold Effects of Energy Price Changes ?  

E-Print Network (OSTI)

The effectiveness of policies to reduce the use of energy depend on the elasticity of substitution between the various inputs and on the rate of technological progress. This paper presents a theoretical model emphasising energy investments’ characteristics of uncertainty and irreversibility that result in hypotheses concerning the relative values of substitution parameters and rates of technological change in periods of high and increasing energy prices and in periods of low prices. The theoretical model suggests that threshold level effects exist. Firms are induced to substitute away from energy only if prices of energy exceed a certain threshold level and they reverse the technology only if prices are low enough. Using panel data for the Dutch economy we do not find threshold effects in the level of energy prices.

Daan P. Van Soest A; Gerard H. Kuper B; Jan Jacobs C

2000-01-01T23:59:59.000Z

62

State energy price and expenditure report 1984  

Science Conference Proceedings (OSTI)

The average price paid by US consumers for energy in 1984 was $8.43 per million Btu, down 0.5% from the 1983 average price of $8.47 per million Btu. While the average price changed very little, total expenditures rose 5% from $418 billion in 1983 to $438 billion in 1984 due to increased energy consumption. By energy source, prices showed the most change in petroleum and electricity: the average price paid for petroleum products fell from $7.79 per million Btu in 1983 to $7.62 per million Btu in 1984, and the average price paid for electricity increased from $18.62 per million Btu in 1983 to $19.29 per million Btu in 1984. Expenditures in 1984 hit record high levels for coal, natural gas, nuclear fuel, and electricity, but were 16% below the 1981 peak for petroleum.

Not Available

1986-12-04T23:59:59.000Z

63

Can Deployment of Renewable Energy and Energy Efficiency Put Downward Pressure on Natural Gas Prices  

E-Print Network (OSTI)

ACEEE). 2003. Natural Gas Price Effects of Energy EfficiencyFuel Price Risk: Using Forward Natural Gas Prices Insteadof Gas Price Forecasts to Compare Renewable to Natural Gas-

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

64

Change in energy prices mixed in 2013 as prices of nonenergy ...  

U.S. Energy Information Administration (EIA)

During 2013, the prices of various energy commodities increased from 2012 levels or were down modestly as prices of nonenergy commodities generally ...

65

State energy price and expenditure report, 1995  

SciTech Connect

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the US. The estimates developed in the State Energy Price and Expenditure Data System (SEPEDS) are provided by energy source and economic sector and are published for the years 1970 through 1995. Data for all years are available on a CD-ROM and via Internet. Consumption estimates used to calculate expenditures and the documentation for those estimates are taken from the State Energy Data Report 1995, Consumption Estimates (SEDR), published in December 1997. Expenditures are calculated by multiplying the price estimates by the consumption estimates, which are adjusted to remove process fuel; intermediate petroleum products; and other consumption that has no direct fuel costs, i.e., hydroelectric, geothermal, wind, solar, and photovoltaic energy sources.

1998-08-01T23:59:59.000Z

66

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.  

E-Print Network (OSTI)

Agency. IEA, 2009, Energy prices and taxes, Working paper,prices, the shape of the energy price curves, and weatherto high and volatile energy prices. Most economists would

Jaffee, Dwight M.; Stanton, Richard; Wallace, Nancy E.

2010-01-01T23:59:59.000Z

67

Energy prices and the adoption of energy-saving technology  

E-Print Network (OSTI)

This paper investigates the link between factor prices, technology and factor demands. I estimate the effect of price-induced technology adoption on energy demand in the U.S. manufacturing sector, using plant data from the ...

Linn, Joshua

2006-01-01T23:59:59.000Z

68

State Energy Price System: 1982 update  

SciTech Connect

The State Energy Price System (STEPS) contains estimates of energy prices for ten major fuels (electricity, natural gas, metallurgical coal, steam coal, distillate, motor gasoline, diesel, kerosene/jet fuel, residual fuel, and liquefied petroleum gas), by major end-use sectors (residential, commercial, industrial, transportation, and electric utility), and by state through 1982. Both physical unit prices and prices per million Btu are included in STEPS. Major changes in STEPS data base for 1981 and 1982 are described. The most significant changes in procedures for the updates occur in the residential sector distillate series and the residential sector kerosene series. All physical unit and Btu prices are shown with three significant digits instead of with four significant digits as shown in the original documentation. Details of these and other changes are contained in this report, along with the updated data files. 31 references, 65 tables.

Imhoff, K.L.; Fang, J.M.

1984-10-01T23:59:59.000Z

69

Real Time Energy Pricing Web Services Implementation  

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

Real Time Energy Pricing Web Services Implementation Speaker(s): Jim Boch Kim McCaffrey Robert Nawy Date: December 15, 2010 - 12:00pm Location: 90-3122 Seminar HostPoint of...

70

Marginal Energy Price Report- July 1999  

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

Estimated Consumer Marginal Energy Prices for the Commercial and Residental Sectors for use in the Life-Cycle Cost Analyses for four of the High-Priority Appliance Rulemakings

71

What were the key energy commodity price trends in 2011?  

Reports and Publications (EIA)

Energy commodity price trends varied widely during 2011. Crude oil and petroleum products prices increased during 2011, while natural gas, coal, and electricity prices declined. This article provides an overview of key energy commodity price trends in 2011 based on prices seen in futures markets.

2012-02-14T23:59:59.000Z

72

2011 Brief: Energy commodity price trends varied widely during ...  

U.S. Energy Information Administration (EIA)

Source: U.S. Energy Information Administration, based on Bloomberg. Note: Price changes are derived by taking the difference in prompt contract price for each ...

73

Rebuilding the Coal Model in the Energy Information Administration's National Energy Modeling System  

Science Conference Proceedings (OSTI)

The Energy Information Administration uses the National Energy Modeling System (NEMS) to forecast prices and quantities in energy markets. The coal model that the Energy Information Administration first used in NEMS contributed to convergence problems ... Keywords: GOVERNMENT-ENERGY POLICIES, NATURAL RESOURCES-ENERGY, PROGRAMMING--LINEAR

Melinda Hobbs; Michael Mellish; Frederic H. Murphy; Richard Newcombe; Reginald Sanders; Peter Whitman

2001-09-01T23:59:59.000Z

74

Public Comment re Price-Anderson Act | Department of Energy  

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

Price-Anderson Act Public Comment re Price-Anderson Act Department of Energy (DOE) Price-Anderson Act Comments from White Pine County, Nevada. The views of many "Affected Units of...

75

Appendix E: Other NEMS-MP results for the base case and scenarios.  

DOE Green Energy (OSTI)

The NEMS-MP model generates numerous results for each run of a scenario. (This model is the integrated National Energy Modeling System [NEMS] version used for the Multi-Path Transportation Futures Study [MP].) This appendix examines additional findings beyond the primary results reported in the Multi-Path Transportation Futures Study: Vehicle Characterization and Scenario Analyses (Reference 1). These additional results are provided in order to help further illuminate some of the primary results. Specifically discussed in this appendix are: (1) Energy use results for light vehicles (LVs), including details about the underlying total vehicle miles traveled (VMT), the average vehicle fuel economy, and the volumes of the different fuels used; (2) Resource fuels and their use in the production of ethanol, hydrogen (H{sub 2}), and electricity; (3) Ethanol use in the scenarios (i.e., the ethanol consumption in E85 vs. other blends, the percent of travel by flex fuel vehicles on E85, etc.); (4) Relative availability of E85 and H2 stations; (5) Fuel prices; (6) Vehicle prices; and (7) Consumer savings. These results are discussed as follows: (1) The three scenarios (Mixed, (P)HEV & Ethanol, and H2 Success) when assuming vehicle prices developed through literature review; (2) The three scenarios with vehicle prices that incorporate the achievement of the U.S. Department of Energy (DOE) program vehicle cost goals; (3) The three scenarios with 'literature review' vehicle prices, plus vehicle subsidies; and (4) The three scenarios with 'program goals' vehicle prices, plus vehicle subsidies. The four versions or cases of each scenario are referred to as: Literature Review No Subsidies, Program Goals No Subsidies, Literature Review with Subsidies, and Program Goals with Subsidies. Two additional points must be made here. First, none of the results presented for LVs in this section include Class 2B trucks. Results for this class are included occasionally in Reference 1. They represent a small, though noticeable, segment of the 'LV plus 2B' market (e.g., a little more than 3% of today's energy use in that market). We generally do not include them in this discussion, simply because it requires additional effort to combine the NEMS-MP results for them with the results for the other LVs. (Where there is an exception, we will indicate so.) Second, where reference is made to E85, the ethanol content is actually 74%. The Energy Information Administration (EIA) assumes that, to address cold-starting issues, the percent of ethanol in E85 will vary seasonally. The EIA uses an annual average ethanol content of 74% in its forecasts. That assumption is maintained in the NEMS-MP scenario runs.

Plotkin, S. E.; Singh, M. K.; Energy Systems

2009-12-03T23:59:59.000Z

76

State energy price and expenditure report, 1986  

SciTech Connect

The average price paid for energy in the United States in 1986 was $7.19 per million Btu, down significantly from the 1985 average of $8.42 per million Btu. While total energy consumption increased slightly to 74.3 quadrillion Btu from 1985 to 1986, expenditures fell from $445 billion to $381 billion. Energy expenditures per capita in 1986 were $1578, down significantly from the 1985 rate. In 1986, consumers used only 94 percent as much energy per person as they had in 1970, but they spent 3.9 times as much money per person on energy as they had in 1970. By state, energy expenditures per capita in 1986 ranged from the lowest rate of $1277 in New York to the highest of $3108 in Alaska. Of the major energy sources, electricity registered the highest price per million Btu ($19.00), followed by petroleum ($5.63), natural gas ($3.97), coal ($1.62), and nuclear fuel ($0.70). The price of electricity is relatively high because of significant costs for converting energy from various forms (e.g., fossil fuels, nuclear fuel, hydroelectric energy, and geothermal energy) into electricity, and additional, somewhat smaller costs for transmitting and distributing electricity to end users. In addition, electricity is a premium form of energy because of its flexibility and clean nature at energy consumers' sites.

Not Available

1988-10-28T23:59:59.000Z

77

Putting downward pressure on natural gas prices: The impact of renewable energy and energy efficiency  

E-Print Network (OSTI)

in delivered natural gas prices. References American CouncilACEEE). 2003. Natural Gas Price Effects of Energy Efficiencydownward pressure on gas prices. 2 Many recent modeling

Wiser, Ryan; Bolinger, Mark; St. Clair, Matthew

2004-01-01T23:59:59.000Z

78

Putting downward pressure on natural gas prices: The impact of renewable energy and energy efficiency  

E-Print Network (OSTI)

in delivered natural gas prices. References American CouncilEconomy (ACEEE). 2003. Natural Gas Price Effects of EnergyDownward Pressure on Natural Gas Prices: The Impact of

Wiser, Ryan; Bolinger, Mark; St. Clair, Matthew

2004-01-01T23:59:59.000Z

79

Putting downward pressure on natural gas prices: The impact of renewable energy and energy efficiency  

E-Print Network (OSTI)

in delivered natural gas prices. References American CouncilACEEE). 2003. Natural Gas Price Effects of Energy EfficiencyPressure on Natural Gas Prices: The Impact of Renewable

Wiser, Ryan; Bolinger, Mark; St. Clair, Matthew

2004-01-01T23:59:59.000Z

80

Prices & Trends | Department of Energy  

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

open energy data. Finding Solutions to Solar's Soft Cost Dilemma Brian Webster installs rooftop solar panels on a home in Englewood, Colorado. The Energy Department is working to...

Note: This page contains sample records for the topic "nems energy price" 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

Marginal Energy Price Report - July 1999  

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

J:\marginal\FinalDraftReport7-29-99.wpd J:\marginal\FinalDraftReport7-29-99.wpd DRAFT Marginal Energy Prices Report July 1999 U.S. Department of Energy Assistant Secretary, Energy Efficiency & Renewable Energy Office of Codes and Standards Washington, DC 20585 ii J:\marginal\FinalDraftReport7-29-99.wpd This document was prepared for the Department of Energy by staff members of the Lawrence Berkeley National Laboratory (LBNL) iii J:\marginal\FinalDraftReport7-29-99.wpd MARGINAL ENERGY PRICES Final Report Page Outline i Executive Summary 1 I. Background 2 II. Methods 4 III. Analysis and Results - Commercial 6 IV. Analysis and Results - Residential 12 V. Residential Heating Oil and Propane 19 VI. Taxes 22 Appendices Appendix 1. Tariffs Used in the Commercial Analysis 26

82

Marginal Energy Price Report - July 1999  

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

J:\marginal\FinalDraftReport7-29-99.wpd J:\marginal\FinalDraftReport7-29-99.wpd DRAFT Marginal Energy Prices Report July 1999 U.S. Department of Energy Assistant Secretary, Energy Efficiency & Renewable Energy Office of Codes and Standards Washington, DC 20585 ii J:\marginal\FinalDraftReport7-29-99.wpd This document was prepared for the Department of Energy by staff members of the Lawrence Berkeley National Laboratory (LBNL) iii J:\marginal\FinalDraftReport7-29-99.wpd MARGINAL ENERGY PRICES Final Report Page Outline i Executive Summary 1 I. Background 2 II. Methods 4 III. Analysis and Results - Commercial 6 IV. Analysis and Results - Residential 12 V. Residential Heating Oil and Propane 19 VI. Taxes 22 Appendices Appendix 1. Tariffs Used in the Commercial Analysis 26

83

Nano-Electro-Mechanical (NEM) Relay Devices and Technology for Ultra-Low Energy Digital Integrated Circuits  

E-Print Network (OSTI)

trend in the consumer market from personal computers (PCs) to mobile devices sparked a new era in computation that makes energy

Nathanael, Rhesa

2012-01-01T23:59:59.000Z

84

Modeling Interregional Transmission Congestion in the National Energy Modeling System  

E-Print Network (OSTI)

Validating LBNL-NEMS Electricity Prices and Loads A directB. Appendix C. Validating NEMS Electricity Prices andcan lead to lower electricity prices and less frequent power

Gumerman, Etan; Chan, Peter; Lesieutre, Bernard; Marnay, Chris; Wang, Juan

2006-01-01T23:59:59.000Z

85

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.  

E-Print Network (OSTI)

local-level wholesale energy market price dynamics and localare included. Energy factor market prices, the shape of theare included. Energy factor market prices, the shape of the

Jaffee, Dwight M.; Stanton, Richard; Wallace, Nancy E.

2010-01-01T23:59:59.000Z

86

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.  

E-Print Network (OSTI)

local-level wholesale energy market price dynamics and localare included. Energy factor market prices, the shape of theare included. Energy factor market prices, the shape of the

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

87

Energy Prices and the Adoption of Energy-Saving Technology  

E-Print Network (OSTI)

This paper investigates the link between factor prices, technology and factor demands. I estimate the effect of price-induced technology adoption on energy demand in the U.S. manufacturing sector, using plant data from the Census of Manufactures, 1963-1997. I compare the energy efficiency of entrants and incumbents to measure the effect of technology adoption on the demand for energy. A 10 percent increase in the price of energy causes technology adoption that reduces the energy demand of entrants by 1 percent. This elasticity has two implications: first, technology adoption explains a statistically significant but relatively small fraction of changes in energy demand in the 1970s and 1980s; and second, technology adoption can reduce the long run effect of energy prices on growth, but by less than previous research has found.

Joshua Linn; Joshua Linn

2006-01-01T23:59:59.000Z

88

Energy & Financial Markets: What Drives Crude Oil Prices? - Energy  

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

& Financial Markets - U.S. Energy Information Administration (EIA) & Financial Markets - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum & Other Liquids Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. Consumption & Efficiency Energy use in homes, commercial buildings, manufacturing, and transportation. Coal Reserves, production, prices, employ- ment and productivity, distribution, stocks, imports and exports. Renewable & Alternative Fuels

89

Nonlinear Pricing in Energy and Environmental Markets  

E-Print Network (OSTI)

2009. “To What Electricity Price Do Consumers Respond?faced with nonlinear electricity price schedules. Nonlinearrates and multi-tier electricity prices, complicate economic

Ito, Koichiro

2011-01-01T23:59:59.000Z

90

AEO2011: Total Energy Supply, Disposition, and Price Summary...  

Open Energy Info (EERE)

Total Energy Supply, Disposition, and Price Summary This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report...

91

Reply Comments of Energy Contractors Price-Anderson Group to...  

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

Energy Contractors Price-Anderson Group to DOE Notice of Inquiry Reply Comments of Energy Contractors Price-Anderson Group to DOE Notice of Inquiry Reply comments by the ad hoc...

92

FIXED-PRICE CONTRACTING FOR DEPARTMENT OF ENERGY CLEANUP ACTIVITIES...  

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

FIXED-PRICE CONTRACTING FOR DEPARTMENT OF ENERGY CLEANUP ACTIVITIES, CR-B-02-01 FIXED-PRICE CONTRACTING FOR DEPARTMENT OF ENERGY CLEANUP ACTIVITIES, CR-B-02-01 As part of its...

93

The welfare effects of raising household energy prices in Poland  

Science Conference Proceedings (OSTI)

We examine the welfare effects from increasing household energy prices in Poland. Subsidizing household energy prices, common in the transition economies, is shown to be highly regressive. The wealthy spend a larger portion of their income on energy and consume more energy in absolute terms. We therefore rule out the oft-used social welfare argument for delaying household energy price increases. Raising prices, while targeting relief to the poor through a social assistance program is the first-best response. However, if governments want to ease the adjustment, several options are open, including: in-kind transfers to the poor, vouchers, in-cash transfers, and lifeline pricing for electricity. Our simulations show that if raising prices to efficient levels is not politically feasible at present and social assistance targeting is sufficiently weak, it may be socially better to use lifeline pricing and a large price increase than an overall, but smaller, price increase.

Freund, C.L. [Columbia Univ., New York, NY (United States); Wallich, C.I. [World Bank, Washington, DC (United States)

1996-06-01T23:59:59.000Z

94

Integration of fluctuating energy by electricity price control  

E-Print Network (OSTI)

Integration of fluctuating energy by electricity price control Master Thesis Olivier Corradi can be activated by means of a varying electricity price. We will focus on the appliances that offer results in a price that may be characterised as the market price of electricity in the Nordic countries

95

Renewable Energy RFPs: Solicitation Response and Wind Contract Prices  

E-Print Network (OSTI)

Energy RFPs: Solicitation Response and Wind Contract Pricesenergy capacity (especially wind). Though detailed information on bid prices

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

96

Fossil Fuel Prices to Electric Utilities - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Fossil Fuel Prices to Electric Utilities. Sources: History: EIA; Projections: Short-Term Energy Outlook, July 2000.

97

Can Deployment of Renewable Energy and Energy Efficiency Put Downward Pressure on Natural Gas Prices  

E-Print Network (OSTI)

Gas Crisis: Reducing Natural Gas Prices through IncreasedEconomy (ACEEE). 2003. Natural Gas Price Effects of EnergyRisk: Using Forward Natural Gas Prices Instead of Gas Price

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

98

Easing the natural gas crisis: Reducing natural gas prices through increased deployment of renewable energy and energy efficiency  

E-Print Network (OSTI)

Fuel Price Risk: Using Forward Natural Gas Prices Insteadof Gas Price Forecasts to Compare Renewable to Natural Gas-2003. Natural Gas and Energy Price Volatility. Arlington,

Wiser, Ryan; Bolinger, Mark; St. Clair, Matt

2004-01-01T23:59:59.000Z

99

Essays on Pricing Behaviors of Energy Commodities  

E-Print Network (OSTI)

This dissertation investigates the pricing behaviors of two major energy commodities, U.S. natural gas and crude oil, using times series models. It examines the relationships between U.S. natural gas price variations and changes in market fundamentals within a two-state Markov-switching framework. It is found that the regime-switching model does a better forecasting job in general than the linear fundamental model without regime-switching framework, especially in the case of 1-step-ahead forecast. Studies are conducted of the dynamics between crude oil price and U.S. dollar exchange rates. Empirical tests are applied to both full sample (1986—2010) and subsample (2002—2010) data. It is found that causality runs in both directions between the oil and the dollar. Meanwhile, a theoretical 5-country partial dynamic portfolio model is constructed to explain the dynamics between oil and dollar with special attention to the roles of China and Russia. It is shown that emergence of China‘s economy enhances the linkage between oil and dollar due to China's foreign exchange policy. Further research is dedicated to the role of speculation in crude oil and natural gas markets. First a literature review on theory of speculation is conducted. Empirical studies on speculation in commodity markets are surveyed, with special focus on energy commodity market. To test the theory that speculation may affect commodity prices by exaggerating the signals sent by market fundamentals, this essay utilizes the forecast errors from the first essay to investigate the forecasting ability of speculators' net long positions in the market. Limited evidence is provided to support the bubble theory in U.S. natural gas market. In conclusion, this dissertation explores both fundamentals and speculators' roles in the U.S. natural gas and global crude oil markets. It is found that market fundamentals are the major driving forces for the two energy commodities price booms seen during the past several years.

Qin, Xiaoyan

2011-05-01T23:59:59.000Z

100

Seasonal Volatility in Energy Prices: Modeling Seasonality in Natural Gas and Electricity Price Volatility  

Science Conference Proceedings (OSTI)

The modeling and measurement of price uncertainty are essential prerequisites to asset valuation and risk management in electric power. Practical, realistic models must take into account the systematic time patterns exhibited by price volatility. This report uses new data and techniques to reexamine the seasonal nature of energy price volatility.

2004-12-15T23:59:59.000Z

Note: This page contains sample records for the topic "nems energy price" 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

Estimating Marginal Residential Energy Prices in the Analysis of Proposed  

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

Marginal Residential Energy Prices in the Analysis of Proposed Marginal Residential Energy Prices in the Analysis of Proposed Appliance Energy Efficiency Standards Title Estimating Marginal Residential Energy Prices in the Analysis of Proposed Appliance Energy Efficiency Standards Publication Type Report LBNL Report Number LBNL-44230 Year of Publication 2000 Authors Chaitkin, Stuart, James E. McMahon, Camilla Dunham Whitehead, Robert D. Van Buskirk, and James D. Lutz Document Number LBNL-44230 Date Published March 1 Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract Use of marginal energy prices, instead of average energy prices, represents a theoretically valuable and challenging refinement to the usual life-cycle cost analysis conducted for proposed appliance energy efficiency standards. LBNL developed a method to estimate marginal residential energy prices using a regression analysis based on a nationally representative sample of actual consumer energy bills. Based on the 1997 Residential Energy Consumption Survey (RECS), national mean marginal electricity prices were estimated to be 2.5% less than average electricity prices in the summer and 10.0% less than average prices in the non-summer months. For natural gas, marginal prices were 4.4% less than average prices in the winter and 15.3% less than average prices in the non-winter months.

102

EIA - International Energy Outlook 2007-Low World Oil Price Projections  

Gasoline and Diesel Fuel Update (EIA)

Low World Oil Price Case Projections (1990-2030) Low World Oil Price Case Projections (1990-2030) International Energy Outlook 2007 Low World Oil Price Projections Tables (1990-2030) Formats Table Data Titles (1 to 12 complete) Low World Oil Price Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Low World Oil Price Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table E1 World Total Energy Consumption by Region, Low World Oil Price Case Table E1. World Total Energy Consumption by Region. Need help, contact the National Energy Information Center at 202-586-8800. Table E2 World Total Energy Consumption by Region and Fuel, Low World Oil Price Case Table E2. World Total Energy Consumption by Region and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

103

Term Energy The Implications of Lower Natural Gas Prices for ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration/Short-Term Energy Outlook Supplement – May 2009 2 average delivered natural gas price from $4.75 to $4.25 per MMBtu ...

104

2011 Brief: Energy commodity price trends varied widely during ...  

U.S. Energy Information Administration (EIA)

This article is the first in a series of briefs on energy market trends in 2011. Crude oil and petroleum products led energy commodity price increases during 2011, ...

105

Annual Energy Outlook 2008 - Low Price Case Tables  

Gasoline and Diesel Fuel Update (EIA)

Price Case Tables (2006-2030) Annual Energy Outlook 2009 with Projections to 2030 XLS GIF Spreadsheets are provided in Excel Low Price Case Tables (2009-2030) Table Title Formats...

106

Annual Energy Outlook 2007 - High Price Case Tables  

Gasoline and Diesel Fuel Update (EIA)

Price Case Tables (2004-2030) Annual Energy Outlook 2007 with Projections to 2030 MS Excel Viewer Spreadsheets are provided in Excel High Price Case Tables (2004-2030) Table Title...

107

Annual Energy Outlook 2008 - Low Price Case Tables  

Gasoline and Diesel Fuel Update (EIA)

Price Case Tables (2005-2030) Annual Energy Outlook 2008 with Projections to 2030 MS Excel Viewer Spreadsheets are provided in Excel Low Price Case Tables (2005-2030) Table Title...

108

Annual Energy Outlook 2008 - High Price Case Tables  

Annual Energy Outlook 2012 (EIA)

Price Case Tables (2005-2030) Annual Energy Outlook 2008 with Projections to 2030 MS Excel Viewer Spreadsheets are provided in Excel High Price Case Tables (2005-2030) Table Title...

109

Illinois Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) ... History; Citygate Price: 4.11: 4.14: 4.42: 5.23: 4.70: 4.82: 1989-2013: Residential Price ...

110

California Crude Oil Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

California Crude Oil Prices 6/2/98. Click here to start. Table of Contents. California Crude Oil Prices. CA Crude Oil Price History. World Petroleum Supply/Demand Balance

111

Natural Gas Spot Prices: - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Spot wellhead prices last summer averaged well over $4.00 per thousand cubic feet during a normally low-price season. During the fall, these prices stayed above $5.00 ...

112

on Energy Transition and CO2 Price  

E-Print Network (OSTI)

This paper examines the impact that uncertainty over economic growth may have on global energy transition and CO2 prices. We use a general-equilibrium model derived from MERGE, and define several stochastic scenarios for economic growth. Each scenario is characterized by the likelihood of a rapid global economic recovery. More precisely, during each decade, global economy may- with a given probability- shift from the EIA's (2010) low-economic-growth path to the EIA's (2010) high-economic-growth path. The climate policy considered corresponds in the medium term to the commitments announced after the Copenhagen conference, and in the long term to a reduction of 25 % in global energy-related CO2 emissions (with respect to 2005). For the prices of CO2 and electricity, as well as for the implementation of CCS, the branches of the resulting stochastic trajectories appear to be heavily influenced by agents ’ initial expectations of future economic growth and by the economic growth actually realized. Thus, in 2040, the global price of CO2 may range from $21 (when an initially-anticipated economic recovery never occurs) to $128 (in case of nonanticipated rapid economic recovery). In addition, we show that within each region, the model internalizes the constraints limiting the expansion of each power-generation technology through the price paid by the power utility for the acquisition of new production capacity. As a result, in China, the curves of endogenous investment costs for onshore and offshore wind are all bubble-shaped centered on 2025, a date which corresponds to the establishment of a global CO2 cap-and-trade market in the model. 1.

Olivier Dur; Axel Pierru; Yves Smeers; Olivier Dur; Lasserve A; Axel Pierru B; Yves Smeers A

2011-01-01T23:59:59.000Z

113

EIA - Annual Energy Outlook 2008 (Early Release)- Energy Prices Section  

Gasoline and Diesel Fuel Update (EIA)

Prices Prices Annual Energy Outlook 2008 (Early Release) Energy Prices EIA has raised the reference case path for world oil prices in AEO2008 (although the upward adjustment is smaller than the last major adjustment, introduced in AEO2006). In developing its current oil price outlook, EIA explicitly considered four factors: (1) expected growth in world liquids consumption; (2) the outlook for conventional oil production in countries outside the Organization of the Petroleum Exporting Countries (non-OPEC producers); (3) growth in unconventional liquids production; and (4) OPEC behavior. Global economic growth has been strong over the past few years, despite high oil prices; and it now appears that, in the mid-term, the cost of non-OPEC conventional oil and unconventional liquids will be higher than previously assumed. As a result, in the AEO2008 reference case, OPEC and non-OPEC production volumes and total world liquids production are similar to those in the AEO2007 reference case, but the oil prices are higher.4

114

Nevada Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) Area: ... electric power price data are for regulated electric utilities only; ...

115

Pennsylvania Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) Area: ... electric power price data are for regulated electric utilities only; ...

116

Delaware Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) Area: ... electric power price data are for regulated electric utilities only; ...

117

Washington Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) Area: ... electric power price data are for regulated electric utilities only; ...

118

Ohio Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) Area: ... electric power price data are for regulated electric utilities only; ...

119

Product Price Volatility - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Product Price Volatility-This Year and in the Future. Crude Oil -- Continued tight balance leaves world on thin edge Distillate Winter Price Retrospective – Why a ...

120

BGE's Smart Energy Pricing Pilot Summer 2008 Impact Evaluation | Department  

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

BGE's Smart Energy Pricing Pilot Summer 2008 Impact Evaluation BGE's Smart Energy Pricing Pilot Summer 2008 Impact Evaluation BGE's Smart Energy Pricing Pilot Summer 2008 Impact Evaluation The Brattle Group was retained by Baltimore Gas & Electric Company (BGE) in December 2006 to assist in the design of a dynamic pricing pilot program to develop assessments of the likely impact of a variety of dynamic pricing programs on BGE residential customer load shapes. The residential pilot program, Smart Energy Pricing (SEP) Pilot, was subsequently approved by the Maryland Public Service Commission and successfully implemented in the summer of 2008. This report presents the results from the impact evaluation of the BGE's SEP Pilot in the summer of 2008. BGE's Smart Energy Pricing Pilot Summer 2008 Impact Evaluation More Documents & Publications

Note: This page contains sample records for the topic "nems energy price" 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

BGE's Smart Energy Pricing Pilot Summer 2008 Impact Evaluation | Department  

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

BGE's Smart Energy Pricing Pilot Summer 2008 Impact Evaluation BGE's Smart Energy Pricing Pilot Summer 2008 Impact Evaluation BGE's Smart Energy Pricing Pilot Summer 2008 Impact Evaluation The Brattle Group was retained by Baltimore Gas & Electric Company (BGE) in December 2006 to assist in the design of a dynamic pricing pilot program to develop assessments of the likely impact of a variety of dynamic pricing programs on BGE residential customer load shapes. The residential pilot program, Smart Energy Pricing (SEP) Pilot, was subsequently approved by the Maryland Public Service Commission and successfully implemented in the summer of 2008. This report presents the results from the impact evaluation of the BGE's SEP Pilot in the summer of 2008. BGE's Smart Energy Pricing Pilot Summer 2008 Impact Evaluation More Documents & Publications

122

CHARTER, Price-Anderson Act Task Force | Department of Energy  

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

CHARTER, Price-Anderson Act Task Force CHARTER, Price-Anderson Act Task Force CHARTER, Price-Anderson Act Task Force This charter establishes the responsibilities of the Price-Anderson Act Task Force (Task Force). The Secretary of Energy has approved formation of this Task Force to review the need for the continuation or modification of the Price-Anderson Act, section 170 of the Atomic Energy Act of 1954, as amended (AEA), and to prepare a detailed report for submission to Congress as required by section 170p. of the AEA by August 1, 1998. CHARTER, Price-Anderson Act Task Force More Documents & Publications MEMORANDUM FOR THE SECRETARY Report to Congress on the Price-Anderson Act Appendix A. Notice of Inquiry: Preparation of Report to Congress on Price-Anderson Act. 62 Federal Register 68,272 (December 31, 1997)

123

Definition: Variable Peak Pricing | Open Energy Information  

Open Energy Info (EERE)

Variable Peak Pricing Variable Peak Pricing Jump to: navigation, search Dictionary.png Variable Peak Pricing Variable Peak Pricing (VPP) is a hybrid of time-of-use and real-time pricing where the different periods for pricing are defined in advance (e.g., on-peak=6 hours for summer weekday afternoon; off-peak= all other hours in the summer months), but the price established for the on-peak period varies by utility and market conditions.[1] Related Terms real-time pricing References ↑ https://www.smartgrid.gov/category/technology/variable_peak_pricing [[C LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ategory: Smart Grid Definitionssmart grid,off-peak,on-peak,smart grid, |Template:BASEPAGENAME]]smart grid,off-peak,on-peak,smart grid, Retrieved from "http://en.openei.org/w/index.php?title=Definition:Variable_Peak_Pricing&oldid=50262

124

Sustainably Priced Energy Enterprise Development (SPEED) Goals | Department  

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

Sustainably Priced Energy Enterprise Development (SPEED) Goals Sustainably Priced Energy Enterprise Development (SPEED) Goals Sustainably Priced Energy Enterprise Development (SPEED) Goals < Back Eligibility Investor-Owned Utility Municipal Utility Rural Electric Cooperative Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Solar Heating & Cooling Water Heating Wind Program Info State Vermont Program Type Renewables Portfolio Standard Provider Vermont Public Service Board Vermont's Sustainably Priced Energy Enterprise Development (SPEED) Program was created by legislation in 2005 to promote renewable energy development. The SPEED program itself is not a renewable portfolio goal or standard. However, if the Vermont Public Service Board (PSB) determines that the

125

DOE Energy Technology Prices and Trends | Open Energy Information  

Open Energy Info (EERE)

DOE Energy Technology Prices and Trends DOE Energy Technology Prices and Trends Jump to: navigation, search Tool Summary LAUNCH TOOL Name: DOE Energy Technology Prices and Trends Agency/Company /Organization: United States Department of Energy Sector: Energy Focus Area: Renewable Energy, Non-renewable Energy Phase: Determine Baseline Topics: Market analysis, Technology characterizations Resource Type: Software/modeling tools User Interface: Website Website: energy.gov/prices-trends Country: United States Cost: Free Northern America Coordinates: 37.09024°, -95.712891° 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":37.09024,"lon":-95.712891,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

126

The potential impact of renewable energy deployment on natural gas prices in New England  

E-Print Network (OSTI)

Energy Deployment on Natural Gas Prices in New England Datecan directly hedge natural gas price risk by reducing thedownward pressure on natural gas prices by reducing demand

Wiser, Ryan; Bolinger, Mark

2004-01-01T23:59:59.000Z

127

Does EIA have energy prices for countries? - FAQ - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Does EIA have energy prices for countries? EIA has some price data for coal, electricity, petroleum products, and natural gas for select countries on ...

128

Energy Information Administration (EIA) - High World Oil Price Case  

Gasoline and Diesel Fuel Update (EIA)

High World Oil Price Case Projections Tables (1990-2030) High World Oil Price Case Projections Tables (1990-2030) International Energy Outlook 2007 High World Oil Price Case Projections Tables (1990-2030) Formats Data Table Titles (1 to 12 complete) High World Oil Price Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. High World Oil Price Case Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table D1 World Total Primary Energy Consumption by Region Table D1. World Total Primary Energy Consumption by Region. Need help, contact the National Energy Information Center at 202-586-8800. Table D2 World Total Energy Consumption by Region and Fuel Table D2. World total Energy Consumption by Region and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

129

DOE Gasoline Price Watch Website and Hotline | Department of Energy  

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

Gasoline Price Watch Website and Hotline Gasoline Price Watch Website and Hotline DOE Gasoline Price Watch Website and Hotline April 20, 2006 - 12:26pm Addthis WASHINGTON, DC - Secretary of Energy Samuel W. Bodman today is reminding consumers about the Department of Energy's (DOE) gasoline price reporting system. Consumers can report activity at local gasoline filling stations that they believe may constitute "gouging" or "price fixing" by visiting gaswatch.energy.gov/. "There are many legitimate factors influencing the price consumers are paying at the pump, including growing demand, the high price of crude oil, the lingering effects of last summer's hurricanes on our refining sector and the regular transition of fuel blends as we head into the summer," said Secretary Bodman. "And while the majority of local merchants are fair and

130

Availability and Price of Non-Iranian Petroleum - Energy ...  

U.S. Energy Information Administration (EIA)

The U.S . Energy Information ... indicating that the recent tightness is not limited to light ... August prices include data through market close on August 27, 2013 ...

131

Table 1. Crude Oil Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

5 U.S. Energy Information Administration/Petroleum Marketing Monthly February 2012 Table 1. Crude Oil Prices (Dollars per Barrel) Year Month Domestic

132

Electric Sales, Revenue, and Average Price 2011 - Energy ...  

U.S. Energy Information Administration (EIA)

Class of Ownership, Number of Consumers, Sales, Revenue, and Average Retail Price for Power Marketers and Energy Service Providers by State: T12:

133

Natural Gas Has Been The Most Volatile Of Energy Prices ...  

U.S. Energy Information Administration (EIA)

Price volatility in the natural gas market generally exceeds volatility in markets for other energy as well as other commodity markets. In fact, ...

134

Table 1. Crude Oil Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

5 U.S. Energy Information Administration/Petroleum Marketing Monthly October 2013 Table 1. Crude Oil Prices (Dollars per Barrel) Year Month Domestic

135

Energy and Financial Markets Overview: Crude Oil Price Formation  

U.S. Energy Information Administration (EIA)

• E&P costs • E&P investments • E&P innovations Physical balancing • Inventories Markets & market behavior • Energy prices ? spot ? futures ? options

136

Energy Price Impacts on the U.S. Economy  

U.S. Energy Information Administration (EIA)

What does history tell us about how energy prices affect the economy? ... - WEFA, US Outlook, issues December 2000, and January, February and March 2001.

137

spot prices - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Natural gas prices near 10-year low amid mild weather, higher supplies in winter 2011-12. ... Coal Natural Gas Renewable Nuclear Electricity Consumption Total Energy.

138

Energy & Financial Markets: What Drives Crude Oil Prices ...  

U.S. Energy Information Administration (EIA)

Overview. As part of its Energy and Financial Markets Initiative, EIA is assessing the various factors that may influence oil prices — physical market factors as ...

139

Public Comment re Price-Anderson Act | Department of Energy  

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

Comment re Price-Anderson Act Comment re Price-Anderson Act Public Comment re Price-Anderson Act Preparation of Report to Congress on Price-Anderson Act. The Price Anderson Act should be eliminated. The Price Anderson Act assumes that the encouragement and growth of the commercial nuclear industry is in the public interest. It is not. Rational evaluation of the commercial nuclear industry forces the conclusion that the Price Anderson Act simply shields the commercial nuclear industry from costs that it would otherwise, in a fair market setting, be forced to internalize and pay. Price Anderson amounts to corporate welfare that has already caused a massive disruption of energy markets, and the abusiveness enabled by this welfare system threatens to dislodge society from its ecological as

140

Estimating disaggregated price elasticities in industrial energy demand  

Science Conference Proceedings (OSTI)

Econometric energy models are used to evaluate past policy experiences, assess the impact of future policies and forecast energy demand. This paper estimates an industrial energy demand model for the province of Ontario using a linear-logit specification for fuel type equations which are embedded in an aggregate energy demand equation. Short-term, long-term, own- and cross-price elasticities are estimated for electricity, natural gas, oil and coal. Own- and cross-price elasticities are disaggregated to show that overall price elasticities and the energy-constant price elasticities when aggregate energy use is held unchanged. These disaggregations suggest that a substantial part of energy conservation comes from the higher aggregate price of energy and not from interfuel substitution. 13 refs., 2 tabs.

Elkhafif, M.A.T. (Ontario Ministry of Energy, Toronto (Canada))

1992-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "nems energy price" 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

Properties of energy-price forecasts for scheduling  

Science Conference Proceedings (OSTI)

Wholesale electricity markets are becoming ubiquitous, offering consumers access to competitively-priced energy. The cost of energy is often correlated with its environmental impact; for example, environmentally sustainable forms of energy might benefit ...

Georgiana Ifrim; Barry O'Sullivan; Helmut Simonis

2012-10-01T23:59:59.000Z

142

Definition: Critical Peak Pricing | Open Energy Information  

Open Energy Info (EERE)

Pricing Pricing Jump to: navigation, search Dictionary.png Critical Peak Pricing When utilities observe or anticipate high wholesale market prices or power system emergency conditions, they may call critical events during a specified time period (e.g., 3 p.m.-6 p.m. on a hot summer weekday), the price for electricity during these time periods is substantially raised. Two variants of this type of rate design exist: one where the time and duration of the price increase are predetermined when events are called and another where the time and duration of the price increase may vary based on the electric grid's need to have loads reduced;[1] Related Terms electricity generation References ↑ https://www.smartgrid.gov/category/technology/critical_peak_pricing Ret LikeLike UnlikeLike

143

California Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) ... History; Citygate Price: 4.58: 4.57: 4.65: 4.20: 3.94: 3.73: 1989-2013: ...

144

Mississippi Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) ... History; Wellhead Price: 6.70: 8.80: 3.73: 4.17 : 1967-2010: Imports Pric ...

145

Alabama Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) ... History; Wellhead Price: 7.44: 9.65: 4.32: 4.46 : 1967-2010: Pipeline and ...

146

Mississippi Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) Area: ... History; Citygate Price: 4.73: 4.83: 4.82: 4.34: 4.19: NA: ...

147

Tennessee Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) Area: ... History; Citygate Price: 4.93: 5.23: 5.39: 5.32: 4.80: 4.90: ...

148

Optimal Control of Residential Energy Storage Under Price Fluctuations  

E-Print Network (OSTI)

Abstract—An increasing number of retail energy markets exhibit price fluctuations and provide home users the opportunity to buy energy at lower than average prices. However, such cost savings are hard to realize in practice because they require human users to observe the price fluctuations and shift their electricity demand to low price periods. We propose to temporarily store energy of low price periods in a home battery and use it later to satisfy user demand when energy prices are high. This enables home users to save on their electricity bill by exploiting price variability without changing their consumption habits. We formulate the problem of minimizing the cost of energy storage purchases subject to both user demands and prices as a Markov Decision Process and show that the optimal policy has a threshold structure. We also use a numerical example to show that this policy can lead to significant cost savings, and we offer various directions for future research. Index Terms—Battery storage, dynamic pricing, dynamic programming, energy storage, threshold policy. I.

Nidhi Hegde; Laurent Massoulié; Theodoros Salonidis

2011-01-01T23:59:59.000Z

149

Definition: Dynamic Pricing Program | Open Energy Information  

Open Energy Info (EERE)

Pricing Program Pricing Program Jump to: navigation, search Dictionary.png Dynamic Pricing Program Dynamic pricing refers to the family of rates that offer customers time-varying electricity prices on a day-ahead or real-time basis.[1] Related Terms electricity generation References ↑ https://www.smartgrid.gov/category/technology/dynamic_pricing_program [[C LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ategory: Smart Grid Definitionssmart grid,smart grid, |Template:BASEPAGENAME]]smart grid,smart grid, Retrieved from "http://en.openei.org/w/index.php?title=Definition:Dynamic_Pricing_Program&oldid=502620" Category: Definitions What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load)

150

Energy prices and energy intensity in China : a structural decomposition analysis and econometric study  

E-Print Network (OSTI)

Since the start of its economic reforms in 1978, China's energy prices relative to other prices have increased. At the same time, its energy intensity, i.e., physical energy consumption per unit of Gross Domestic Product ...

Shi, Xiaoyu, M.C.P. Massachusetts Institute of Technology

2005-01-01T23:59:59.000Z

151

Energy prices and energy intensity in China : a structural decomposition analysis and econometrics study  

E-Print Network (OSTI)

Since the start of its economic reforms in 1978, China's energy prices relative to other prices have increased. At the same time, its energy intensity, i.e., energy consumption per unit of Gross Domestic Product (GDP), has ...

Shi, Xiaoyu

2006-01-01T23:59:59.000Z

152

State energy price system. Volume I: overview and technical documentation  

SciTech Connect

This study utilizes existing data sources and previous analyses of state-level energy prices to develop consistent state-level energy prices series by fuel type and by end-use sector. The fuels are electricity, natural gas, coal, distillate fuel oil, motor gasoline, diesel, kerosene, jet fuel, residual fuel, and liquefied petroleum gas. The end-use sectors are residential, commercial, industrial, transportation, and electric utility. Based upon an evaluation of existing data sources, recommendations were formulated on the feasible approaches for developing a consistent state energy price series. The data series were compiled based upon the approaches approved after a formal EIA review. Detailed documentation was provided, including annual updating procedures. Recommendations were formulated for future improvements in the collection of data or in data processing. Generally, the geographical coverage includes the 50 states and the District of Columbia. Information on state-level energy use was generally taken from the State Energy Data System (SEDS). Corresponding average US prices are also developed using volumes reported in SEDS. To the extent possible, the prices developed are quantity weighted average retail prices. Both a Btu price series and a physical unit price series are developed for each fuel. The period covered by the data series is 1970 through 1980 for most fuels, though prices for electricity and natural gas extend back to 1960. (PSB)

Fang, J.M.; Nieves, L.A.; Sherman, K.L.; Hood, L.J.

1982-06-01T23:59:59.000Z

153

State Energy Price System: 1983 update overview and documentation  

SciTech Connect

This report documents the update of the State Energy Price System (STEPS) for the 1970-1983 period. The STEPS data base, developed by the Pacific Northwest Laboratory (PNL) under contract to the Office of Energy Markets and End Use, Energy Information Administration, contains national and state-level energy price data for ten fuels and five end-use sectors. STEPS is intended to provide energy price information for Federal, state, and local government and private sector applications. The primary objective of this study is to document the update of the price series to include data for 1983. Concurrent with the 1983 update, PNL also began verifying the reproducibility of individual prices in the data base for the 1970 to 1982 period. While the reproducibility check work is completed for six of the ten fuels and is integrated in the documentation for those fuels, the findings from this task are not discussed.

Imhoff, K.L.; Fang, J.M.; McWethy, L.G.

1985-12-01T23:59:59.000Z

154

Annual Energy Outlook 2007 - Low Price Case Tables  

Gasoline and Diesel Fuel Update (EIA)

4-2030) 4-2030) Annual Energy Outlook 2007 with Projections to 2030 MS Excel Viewer Spreadsheets are provided in Excel Low Price Case Tables (2004-2030) Table Title Formats Summary Low Price Case Tables Low Price Case Tables Table 1. Total Energy Supply and Disposition Summary Table 2. Energy Consumption by Sector and Source Table 3. Energy Prices by Sector and Source Table 4. Residential Sector Key Indicators and Consumption Table 5. Commercial Sector Indicators and Consumption Table 6. Industrial Sector Key Indicators and Consumption Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption Table 8. Electricity Supply, Disposition, Prices, and Emissions Table 9. Electricity Generating Capacity Table 10. Electricity Trade Table 11. Petroleum Supply and Disposition Balance

155

Annual Energy Outlook 2009 - High Price Case Tables  

Gasoline and Diesel Fuel Update (EIA)

6-2030) 6-2030) Annual Energy Outlook 2009 with Projections to 2030 XLS GIF Spreadsheets are provided in Excel High Price Case Tables (2006-2030) Table Title Formats Summary High Price Case Tables PDF GIF High Price Case Tables XLS GIF Table 1. Total Energy Supply and Disposition Summary XLS GIF Table 2. Energy Consumption by Sector and Source XLS GIF Table 3. Energy Prices by Sector and Source XLS GIF Table 4. Residential Sector Key Indicators and Consumption XLS GIF Table 5. Commercial Sector Indicators and Consumption XLS GIF Table 6. Industrial Sector Key Indicators and Consumption XLS GIF Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption XLS GIF Table 8. Electricity Supply, Disposition, Prices, and Emissions XLS GIF Table 9. Electricity Generating Capacity

156

The Value of Renewable Energy as a Hedge Against Fuel Price Risk: Analytic Contributions from Economic and Finance Theory  

E-Print Network (OSTI)

2003. Natural Gas and Energy Price Volatility. Arlington,Reducing the Impacts of Energy Price Volatility Throughof Forward Natural Gas Prices” Energy Policy. Vol 34, Issue

Bolinger, Mark A

2009-01-01T23:59:59.000Z

157

How many people actually see the price signal? Quantifying market failures in the end use of energy  

E-Print Network (OSTI)

investment, behaviour, energy price, consumers Abstract “suggest that raising energy prices—such as in the form ofconsumers actually “see” energy prices and are therefore

Meier, Alan; Eide, Anita

2007-01-01T23:59:59.000Z

158

Figure 7.9 Coal Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Figure 7.9 Coal Prices Total, 1949-2011 By Type, 1949-2011 By Type, 2011 214 U.S. Energy Information Administration / Annual Energy Review 2011

159

Renewable Energy Price-Stability Benefits in Utility Green Power...  

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

Report NRELTP-670-43532 August 2008 Renewable Energy Price-Stability Benefits in Utility Green Power Programs Lori A. Bird and Karlynn S. Cory National Renewable Energy Laboratory...

160

Arizona Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

Note: This page contains sample records for the topic "nems energy price" 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

CA Problem is Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

The basic California problem concerning heavy crude oil is price. With the reported cost of the natural-gas-fueled steam for extracting the crude sometimes being as ...

162

Average Residential Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

163

Ohio Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

164

Florida Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

165

Natural Gas Citygate Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

166

Natural Gas Exports Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

167

Connecticut Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

168

Massachusetts Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

169

Colorado Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

170

California Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

... electric power price data are for regulated electric utilities only; beginning in 2002, data also include nonregulated members of the electric power sector.

171

Regular Gasoline Rack Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Gasoline Prices by Formulation, Grade, ... History; U.S.-----1994-2013: East Coast (PADD 1) ... Alabama-----1994-2013: Arkansas-----

172

Wisconsin Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

173

Commerical Price - Marketers - Energy Information Administration  

U.S. Energy Information Administration (EIA)

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

174

Average Residential Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

... electric power price data are for regulated electric ... Gas volumes delivered for vehicle fuel are included in the State monthly totals from January 2011 ...

175

Natural Gas Wellhead Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

... electric power price data are for regulated electric ... Gas volumes delivered for vehicle fuel are included in the State monthly totals from January 2011 ...

176

Nonlinear Pricing in Energy and Environmental Markets  

E-Print Network (OSTI)

of the Southern California Edison Company. Glendale Calif. :Southern California Edison (SCE) and San Diego Gas &using Southern California Edison’s price schedule in 2007.

Ito, Koichiro

2011-01-01T23:59:59.000Z

177

Average Commercial Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

178

Natural Gas Wellhead Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

179

Washington Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

180

Louisiana Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

Note: This page contains sample records for the topic "nems energy price" 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

Utah Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

182

Wyoming Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

183

Maryland Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

184

Energy Information Administration – International Natural Gas Price  

U.S. Energy Information Administration (EIA)

Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas ... imports and exports, production, prices, sales ... Europe ...

185

Vermont Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

186

Nonlinear Pricing in Energy and Environmental Markets  

E-Print Network (OSTI)

on their summer electricity bills if they could reduce theira fixed credit on electricity bills. The rationale behindaverage price of their electricity bills, the fixed credit

Ito, Koichiro

2011-01-01T23:59:59.000Z

187

Kansas Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

188

Retail Propane Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Residential propane prices rose fairly strongly during the 1999-2000 heating season, gaining nearly 25 cents per gallon between October and March.

189

Oil Price Volatility - Energy Information Administration  

U.S. Energy Information Administration (EIA)

... [stock] prices and the reasons therefore ... fixed asset supply ? can only take place among a subset of participants, e.g. speculators.

190

Natural Gas Imports Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

191

Natural Gas Industrial Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

192

Maine Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

193

Texas Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

194

Indiana Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

195

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.  

E-Print Network (OSTI)

Agency. IEA, 2009, Energy prices and taxes, Working paper,to high and volatile energy prices. Most economists wouldIndeed, if and when U.S. energy prices do rise, the economic

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

196

http://www.energy.gov/media/F...Biofuels_Lower_Gas_Prices.pdf...  

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

http:www.energy.govmediaF...BiofuelsLowerGasPrices.pdf http:www.energy.govmediaF...BiofuelsLowerGasPrices.pdf http:www.energy.govmediaF...BiofuelsLowerGasPrice...

197

Modeling of CO2 Reduction Impacts on Energy Prices with Modelica Philip Machanick1  

E-Print Network (OSTI)

Price mean reversion rate" ; Real relEnergyPrice (start = 1); Real energyCostTrend (start = 1); Real[i,j,k]; end nextStep; equation energyCostTrend = relEnergyPrice * energyUse / baseEnergyUse; // usefulModeling of CO2 Reduction Impacts on Energy Prices with Modelica Philip Machanick1 , Ariel Liebman1

Machanick, Philip

198

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect

The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

2005-07-01T23:59:59.000Z

199

Missouri Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Commercial Price: 8.24: 8.22: 8.78: 9.48: 11.32: NA: 1989-2013: Percentage of Total Commercial Deliveries included in Prices: 76.4: 77.0: 74.0: 66.1: 59.6: NA: 1989 ...

200

The impact of energy prices on industrial energy efficiency and productivity  

SciTech Connect

Energy prices moved into the forefront of concern in the mid and late seventies when two oil price shocks drove up energy prices dramatically. The analysis of the subsequent increase in industrial energy efficiency, i.e., decline in energy use per unit of industrial output, has filled volumes of government and private studies. Despite the volumes of analysis, there remains no consensus on the magnitude of the effect of energy prices on industrial energy efficiency or the effect of the change in energy prices on productivity. This paper examines some sources of the controversy to initiate a dialog between policy makers, analysts, and the energy consumers and producers.

Boyd, G.A.

1993-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "nems energy price" 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

Lessie B. Price | Department of Energy  

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

Lessie B. Price Lessie B. Price About Us Lessie B. Price - EMAB Board Member Lessie Price has served as an elected member of the Aiken City Council for the past 24 years and was the first female to run and be elected to this post in the City's history. She has also served as Mayor Pro-Tempore of Aiken and was elected by her peers across the State of South Carolina to serve as President of the Municipal Association of South Carolina, representing 274 towns and cities in the State. In addition to her public service on the Aiken City Council, Ms. Price has 40 years experience at Savannah River Site in Human Resources, Organizational & Individual Development & Training Management. She currently serves as Manager of Government Affairs in the Public Affairs Office for URS Corporation. URS employs more than 45,000 employees in 34

202

Price County, Wisconsin: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Price County, Wisconsin: Energy Resources Price County, Wisconsin: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 45.7511666°, -90.4622144° 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":45.7511666,"lon":-90.4622144,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

203

The Influence of a CO2 Pricing Scheme on Distributed Energy Resources...  

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

The Influence of a CO2 Pricing Scheme on Distributed Energy Resources in California's Commercial Buildings Title The Influence of a CO2 Pricing Scheme on Distributed Energy...

204

Assessing Natural Gas Energy Efficiency Programs in a Low-Price...  

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

Natural Gas Energy Efficiency Programs in a Low-Price Environment Title Assessing Natural Gas Energy Efficiency Programs in a Low-Price Environment Publication Type Policy Brief...

205

Multi-layer model of correlated energy prices  

Science Conference Proceedings (OSTI)

In this article we develop an extension of the affine jump-diffusion modeling framework and use it to build an intuitive and tractable model of an energy price complex. The development is motivated by the need to model prices of electricity while capturing ... Keywords: Affine jump-diffusion, Correlation, Electricity markets

Slimane Grine; Pavel Diko

2010-03-01T23:59:59.000Z

206

The Value of Renewable Energy as a Hedge Against Fuel Price Risk: Analytic Contributions from Economic and Finance Theory  

E-Print Network (OSTI)

Gas Crisis: Reducing Natural Gas Prices through IncreasedDownward Pressure on Natural Gas Prices? ” Energy Policy.Economy (ACEEE). 2003. Natural Gas Price Effects of Energy

Bolinger, Mark A

2009-01-01T23:59:59.000Z

207

The Value of Renewable Energy as a Hedge Against Fuel Price Risk: Analytic Contributions from Economic and Finance Theory  

E-Print Network (OSTI)

Gas Crisis: Reducing Natural Gas Prices through IncreasedPressure on Natural Gas Prices? ” Energy Policy. Vol 35,ACEEE). 2003. Natural Gas Price Effects of Energy Efficiency

Bolinger, Mark A

2009-01-01T23:59:59.000Z

208

Prices  

Gasoline and Diesel Fuel Update (EIA)

Information AdministrationPetroleum Marketing Annual 1998 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

209

Prices  

Gasoline and Diesel Fuel Update (EIA)

Information AdministrationPetroleum Marketing Annual 2001 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

210

Prices  

Annual Energy Outlook 2012 (EIA)

Information AdministrationPetroleum Marketing Annual 1999 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

211

Energy and Financial Markets Overview: Crude Oil Price Formation  

Gasoline and Diesel Fuel Update (EIA)

Richard Newell, Administrator Richard Newell, Administrator May 5, 2011 Energy and Financial Markets Overview: Crude Oil Price Formation EIA's Energy and Financial Markets Initiative 2 Richard Newell, May 5, 2011 * Collection of critical energy information to improve market transparency - improved petroleum storage capacity data - other improvements to data quality and coverage * Analysis of energy and financial market dynamics to improve understanding of what drives energy prices - internal analysis and sponsorship of external research * Outreach with other Federal agencies, experts, and the public - expert workshops - public sessions at EIA's energy conferences - solicitation of public comment on EIA's data collections

212

Energy Factors, Leasing Structure and the Market Price of Office...  

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

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S. Speaker(s): Nancy Wallace Date: June 15, 2011 - 12:00pm Location: 90-3122 Seminar HostPoint...

213

Energy Prices Note 4. Crude Oil Landed Costs.  

U.S. Energy Information Administration (EIA)

Energy Prices Note 1. Crude Oil Refinery Acquisition Costs. Begin-ning with January 1981, refiner acquisition costs of crude oil are from data collected on U.S ...

214

AEO2011:Total Energy Supply, Disposition, and Price Summary ...  

Open Energy Info (EERE)

AEO2011:Total Energy Supply, Disposition, and Price Summary

215

Electric Sales, Revenue, and Average Price 2011 - Energy ...  

U.S. Energy Information Administration (EIA)

2001-2010 are Excel zipped files & 1994-2000 are PDF files ... and Average Retail Price for Power Marketers and ... U.S. Department of Energy USA.gov FedStats.

216

Annual Energy Outlook 2006 - Low Price Case Tables  

Gasoline and Diesel Fuel Update (EIA)

Price Case Tables (2003-2030) Annual Energy Outlook 2006 with Projections to 2030 To view or print in PDF format, Adobe Acrobat Reader 6.0 MS Excel Viewer Spreadsheets are provided...

217

Annual Energy Outlook 2006 - High Price Case Tables  

Annual Energy Outlook 2012 (EIA)

Price Case Tables (2003-2030) Annual Energy Outlook 2006 with Projections to 2030 To view or print in PDF format, Adobe Acrobat Reader 6.0 MS Excel Viewer Spreadsheets are provided...

218

Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices  

E-Print Network (OSTI)

Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices *

Hoen, Ben

2010-01-01T23:59:59.000Z

219

Cost forecasts: Euyropean International High-Energy Physics facilities - Million Swiss Francs at 1966 prices  

E-Print Network (OSTI)

Cost forecasts: Euyropean International High-Energy Physics facilities - Million Swiss Francs at 1966 prices

ECFA meeting

1966-01-01T23:59:59.000Z

220

Natural Gas Industrial Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Prices ... History; U.S. 4.97: 5.03: 4.91: 4.50: 4.34: 4.39: 2001-2013: Alabama: 5.38: 5.25: 5.25: 4.82: 4.52: 4.48: 2001-2013: Alaska: ...

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


221

Energy Policy Forum to Discuss 'Possible Solutions to High Gas Prices'  

U.S. Energy Information Administration (EIA)

Energy Policy Forum to Discuss “Possible Solutions to High Gas Prices” Moderated by Congressman Jim Gerlach History and Outlook for Gasoline Prices

222

Price Changes in the Gasoline Market - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

DOE/EIA-0626 February 1999 Price Changes in the Gasoline Market Are Midwestern Gasoline Prices Downward Sticky? Energy Information Administration Washington, DC 20585

223

Does EIA publish coking coal prices? - FAQ - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Does EIA have gasoline prices by city, county, or zip code? Does EIA have projections for energy production, consumption, and prices for individual states?

224

Distributional implications of reducing interstate energy price differences  

SciTech Connect

A model of state residential energy consumption for electricity, natural gas, and petroleum examines scenarios which reflect the response to a reduction in regional price differences attributable to deregulation. The results indicate that natural gas deregulation will benefit eastern and northwestern consumers at the expense of middle and western consumers. The deregulation of bulk electric power also benefits the east coast, but rising electricity prices would outweigh any benefits for the northwest. In contrast, electricity producers in the west have the most to gain from deregulation of bulk power transmissions because of the opportunities of a national market. A deregulated environment will likely have less dramatic distributional consequences from future energy price shocks, while increased fuel competition will probably limit price movements in any one fuel. 3 figures, 5 tables.

Schmidt, R.H.; Gunther, J.W.

1986-11-01T23:59:59.000Z

225

Crude Oil Affects Gasoline Prices  

U.S. Energy Information Administration (EIA)

Crude Oil Affects Gasoline Prices. WTI Crude Oil Price. Retail Gasoline Price. Source: Energy Information Administration

226

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

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

227

Describing Commodity Prices in the Energy Book System  

Science Conference Proceedings (OSTI)

The EPRI Energy Book System (EBS) Version 1.20 modules require that users specify a forward price curve and volatility term structure for each commodity market underlying their portfolio. If users wish to measure and manage portfolio risk and/or value certain cross-commodity derivatives, such as spread options and generation assets, then they must also specify commodity price correlations. This report provides a 'first-cut' method for helping EBS users estimate parameters that describe the relevant power...

2000-12-13T23:59:59.000Z

228

Industrial Attitudes to Petroleum Prices: Policies and Energy Efficiency  

E-Print Network (OSTI)

Beginning in 2001, the US began to see sharp increases and volatility in what had been historically low natural gas prices. The traditional response to events such as this had been to switch fuels when possible and negotiate more attractive price contracts. When it became apparent that gas prices were no longer going to be in the vicinity of $2/Mbtu for the foreseeable future, industry began to seriously invest once again in energy efficiency. A 2003 study by ACEEE found that a modest 5% decrease in natural gas consumption could result in a 20% reduction in retail price. While much of the focus from industry and the policy community has been on natural gas prices, it has also become apparent that all fuel markets – natural gas, coal, electricity and petroleum are experiencing upward pressure in price. Petroleum is of particular interest to industry since it is used both as a fuel and feedstock. Based on the results of our previous work on natural gas markets, we have hypothesized that energy efficiency can effect petroleum market in a similar way. Since petroleum markets are global (vs. the mostly domestic natural gas markets) this task is much more complex. As a precursor to this work we are proposing to begin to better understand how industry reacts to high petroleum prices under our current energy market situation. Does industry look for technology improvements? Better price contracts to shield from volatility? Fuel switching? Advocating for effective federal and state policies? The answers to these questions will help to form the basis of estimates for the potential for energy-efficiency and policy-based savings in petroleum consumption. This paper will include the results of a survey of industrial petroleum customers from a variety of industry types.

Shipley, A. M.; Langer, T.; Black, S.

2007-01-01T23:59:59.000Z

229

Price and Load Forecasting in Volatile Energy Markets  

Science Conference Proceedings (OSTI)

With daily news stories about wildly fluctuating electricity prices and soaring natural gas prices, forecasters' responsibilities are expanding, visibility is increasing, and pressure exists to produce more frequent forecasts and more kinds of forecasts. The proceedings of EPRI's 13th Forecasting Symposium, held November 13-15 in Nashville, Tennessee, address current forecasting issues and developments, as well as explain the role that forecasters have played in recent events in energy markets.

2001-12-05T23:59:59.000Z

230

The potential impact of renewable energy deployment on natural gas prices in New England  

E-Print Network (OSTI)

Energy Deployment on Natural Gas Prices in New England Datethe price and supply of natural gas have deepened in recentcan directly hedge natural gas price risk by reducing the

Wiser, Ryan; Bolinger, Mark

2004-01-01T23:59:59.000Z

231

Figure 3.1 Fossil Fuel Production Prices - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Figure 3.1 Fossil Fuel Production Prices Prices, 1949-2011 Fossil Fuel Composite Price,² Change From Previous Year, 1950-2011 68 U.S. Energy Information ...

232

The potential impact of renewable energy deployment on natural gas prices in New England  

E-Print Network (OSTI)

more sizable impact on gas prices (e.g. , due to short-termEnergy Deployment on Natural Gas Prices in New England Datedirectly hedge natural gas price risk by reducing the need

Wiser, Ryan; Bolinger, Mark

2004-01-01T23:59:59.000Z

233

Price Electric Coop Inc | Open Energy Information  

Open Energy Info (EERE)

Price Electric Coop Inc Price Electric Coop Inc Place Wisconsin Utility Id 15356 Utility Location Yes Ownership C NERC Location MRO NERC MRO Yes ISO MISO Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial-Peak Alert Commercial Commercial-With Demand-Three Phase Industrial Commercial-Without Demand-Single Phase Commercial Commercial-Without Demand-Three Phase Commercial Dual Fuel Commercial Lighting 100 Watt Outdoor Light Lighting Lighting 250 Watt Street Light Lighting Residential, Seasonal, and Farm Residential Average Rates Residential: $0.1650/kWh

234

Subject: Cost and Price Analysis | Department of Energy  

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

Subject: Cost and Price Analysis Subject: Cost and Price Analysis Subject: Cost and Price Analysis More Documents & Publications Subject: Cost and Price Analysis Policy Flash...

235

Public comment on Price-Anderson Act | Department of Energy  

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

Public comment on Price-Anderson Act Public comment on Price-Anderson Act Public comment on Price-Anderson Act COMMENTS by OHM REMEDIATION SERVICES CORP on 62 CFR 68272, Re: Department of Energy, Office of General Counsel; Preparation of Report to Congress on Price-Anderson Act. OHM Remediation Services Corp. ("OHM") is a diversified services firm for government and private sector clients and provides a broad range of outsourced services including environmental remediation and project, program and construction management services. OHM is submitting comments, questions and requests for clarification to the DOE because the continued viability of the Act is crucial to OHM's core business. However, the Act needs to be modified to reflect the current state of the nuclear industry which currently has a stronger focus on decommissioning and

236

Public comment on Price-Anderson Act | Department of Energy  

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

Public comment on Price-Anderson Act Public comment on Price-Anderson Act Public comment on Price-Anderson Act COMMENTS by OHM REMEDIATION SERVICES CORP on 62 CFR 68272, Re: Department of Energy, Office of General Counsel; Preparation of Report to Congress on Price-Anderson Act. OHM Remediation Services Corp. ("OHM") is a diversified services firm for government and private sector clients and provides a broad range of outsourced services including environmental remediation and project, program and construction management services. OHM is submitting comments, questions and requests for clarification to the DOE because the continued viability of the Act is crucial to OHM's core business. However, the Act needs to be modified to reflect the current state of the nuclear industry which currently has a stronger focus on decommissioning and

237

Investigation of residential central air conditioning load shapes in NEMS  

SciTech Connect

This memo explains what Berkeley Lab has learned about how the residential central air-conditioning (CAC) end use is represented in the National Energy Modeling System (NEMS). NEMS is an energy model maintained by the Energy Information Administration (EIA) that is routinely used in analysis of energy efficiency standards for residential appliances. As part of analyzing utility and environmental impacts related to the federal rulemaking for residential CAC, lower-than-expected peak utility results prompted Berkeley Lab to investigate the input load shapes that characterize the peaky CAC end use and the submodule that treats load demand response. Investigations enabled a through understanding of the methodology by which hourly load profiles are input to the model and how the model is structured to respond to peak demand. Notably, it was discovered that NEMS was using an October-peaking load shape to represent residential space cooling, which suppressed peak effects to levels lower than expected. An apparent scaling down of the annual load within the load-demand submodule was found, another significant suppressor of the peak impacts. EIA promptly responded to Berkeley Lab's discoveries by updating numerous load shapes for the AEO2002 version of NEMS; EIA is still studying the scaling issue. As a result of this work, it was concluded that Berkeley Lab's customary end-use decrement approach was the most defensible way for Berkeley Lab to perform the recent CAC utility impact analysis. This approach was applied in conjunction with the updated AEO2002 load shapes to perform last year's published rulemaking analysis. Berkeley Lab experimented with several alternative approaches, including modifying the CAC efficiency level, but determined that these did not sufficiently improve the robustness of the method or results to warrant their implementation. Work in this area will continue in preparation for upcoming rulemakings for the other peak coincident end uses, commercial air conditioning and distribution transformers.

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

2002-05-01T23:59:59.000Z

238

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect

The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

2005-07-01T23:59:59.000Z

239

Nanotribology and nanomechanics of MEMS/NEMS and BioMEMS/BioNEMS materials and devices  

Science Conference Proceedings (OSTI)

The micro/nanoelectromechanical systems (MEMS/NEMS) need to be designed to perform expected functions typically in millisecond to picosecond range. Expected life of the devices for high speed contacts can vary from few hundred thousand to many billions ... Keywords: MEMS, NEMS, Nanomaterials characterization, Nanomechanics, Nanotechnology

Bharat Bhushan

2007-03-01T23:59:59.000Z

240

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

Gasoline and Diesel Fuel Update (EIA)

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

Note: This page contains sample records for the topic "nems energy price" 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

Energy Prices and the Expansion of World Trade  

E-Print Network (OSTI)

The oil shocks of the 1970s coincided with a number of economic disturbances. However, it has been difficult to develop models where oil shocks have a quantitatively important impact on the economy. In this paper, I show that the disturbances in transportation caused by the oil shocks can significantly affect the economy. I argue that changes in energy prices were responsible for a worldwide slowdown in the growth of trade and may help explain the apparent change in the price-trade elasticity. While tariffs have fallen steadily since 1970, trade growth slowed in the mid-1970s and has grown rapidly since the mid-1980s. In a standard trade model, this pattern implies that the price-import elasticity increased sharply in the mid-1980s. In this paper, I argue that the oil crises of the 1970s led to higher transportation costs. In 1986 energy prices fell to their pre-crisis level, reducing transportation costs and by extension trade barriers. I present a trade model with an energy using transportation sector. In model simulations, I show that total trade costs (transportation cost plus tariffs) are constant from 1974 to 1982. Once transportation costs are accounted for, the price-import elasticity no longer needs to radically change. I also show that trade expansion since 1960 is 50 percent higher in a standard trade model that includes a transportation sector compared to one that does not.

Benjamin Bridgman

2008-01-01T23:59:59.000Z

242

Analysis and Representation of Miscellaneous Electric Loads in NEMS -  

Gasoline and Diesel Fuel Update (EIA)

Analysis and Representation of Miscellaneous Electric Loads in NEMS Analysis and Representation of Miscellaneous Electric Loads in NEMS Release date: January 6, 2014 Miscellaneous Electric Loads (MELs) comprise a growing portion of delivered energy consumption in residential and commercial buildings. Recently, the growth of MELs has offset some of the efficiency gains made through technology improvements and standards in major end uses such as space conditioning, lighting, and water heating. Miscellaneous end uses, including televisions, personal computers, security systems, data center servers, and many other devices, have continued to penetrate into building-related market segments. Part of this proliferation of devices and equipment can be attributed to increased service demand for entertainment, computing, and convenience appliances.

243

WORLD ENERGY OUTLOOK Looking at Energy Subsidies: Getting the Prices RightINTERNATIONAL ENERGY AGENCY  

E-Print Network (OSTI)

released at the end of 1998, foresaw that developing and transition countries would account for two-thirds of the overall increase in global energy demand to 2020. The report also highlighted the issue of pricing distortions as a key uncertainty in the outlook for energy demand growth and for the fuel mix. This study, the first in a series addressing key issues raised in the Outlook, focuses on energy subsidies that encourage overconsumption by keeping prices below cost. It assesses quantitatively the extent of energy subsidies and provides an indicative estimate of the potential gains from removing them — in terms of energy savings, lower carbon dioxide emissions, improved economic efficiency and reduced burdens on government budgets. The study demonstrates that energy resources are significantly underpriced in eight of the largest countries outside the OECD, which represent collectively around a quarter of world energy use. These price subsidies, most often designed to meet social policy goals, result in substantial

unknown authors

1974-01-01T23:59:59.000Z

244

Price Municipal Corporation | Open Energy Information  

Open Energy Info (EERE)

Municipal Corporation Municipal Corporation Jump to: navigation, search Name Price Municipal Corporation Place Utah Utility Id 14198 Utility Location Yes Ownership M NERC Location WECC NERC WECC Yes Activity Distribution Yes Activity Buying Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Electrical substation delivery discount Commercial General Service- Large Industrial General service-small Industrial Residential Residential Security area lighting-250 watts and up Lighting Security area lighting-Less than 250 watts Lighting Special service-Non profit charitable organization Commercial

245

Putting downward pressure on natural gas prices: The impact of renewable energy and energy efficiency  

E-Print Network (OSTI)

increase in costs associated with renewable energy or energydesigned renewable energy program with less-binding costcost caps are reached, ensuring that consumers pay a capped price for some number of proxy renewable energy

Wiser, Ryan; Bolinger, Mark; St. Clair, Matthew

2004-01-01T23:59:59.000Z

246

Putting downward pressure on natural gas prices: The impact of renewable energy and energy efficiency  

E-Print Network (OSTI)

2003. Balancing Natural Gas Policy – Fuelin g the Demands ofNatural Gas Price Effects of Energy Efficiency and Renewable Energy Practices and Policies.policies have estimated the impact of increased clean energy deployment on natural gas

Wiser, Ryan; Bolinger, Mark; St. Clair, Matthew

2004-01-01T23:59:59.000Z

247

The National Energy Modeling System: An Overview 2000 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). The National Energy Modeling System: An Overview presents an overview of the structure and methodology of NEMS and each of its components. This chapter provides a description of the design and objectives of the system, followed by a chapter on the overall modeling structure and solution algorithm. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. More detailed model documentation reports for all the NEMS modules are also available from EIA (Appendix, “Bibliography”).

248

Effect of Energy Efficiency Standards on Natural Gas Prices  

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

Energy Efficiency Standards on Natural Gas Prices Energy Efficiency Standards on Natural Gas Prices Title Effect of Energy Efficiency Standards on Natural Gas Prices Publication Type Report LBNL Report Number LBNL-4994E Year of Publication 2011 Authors Carnall, Michael, Larry L. Dale, and Alexander B. Lekov Subsidiary Authors Energy Analysis Department Document Number LBNL-4994E Pagination 37 Date Published July 1 Publisher Lawrence Berkeley National Laboratory City Berkeley ISBN Number LBNL-4994E Abstract Requiring home appliances to meet fuel efficiency standards can reduce the fuel usage, fuel price, and the life-cycle cost of these appliances (Meyers 2005). Although this seems to be an unambiguous benefit to society, it is sometimes asserted, among other things, that the reduction in consumers' expenditures is obtained at the cost of reductions in the profit of fuel producers and owners of mineral rights and is thus a transfer from one sector of the economy to another, rather than a net benefit to society as a whole (Wiser 2005). In an attempt to resolve this question, we estimate the magnitude of the effects of a standard on the primary sectors affected by the standard and determine how much of the benefits are transfers from other sectors.

249

Energy & Financial Markets: What Drives Crude Oil Prices ...  

U.S. Energy Information Administration (EIA)

Search EIA.gov. A-Z Index; A-Z Index A B C D E F G H I J K L M N O P Q R S T U V W XYZ. Energy & Financial Markets What Drives Crude Oil Prices? ...

250

Natural Gas Exports Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Estimates for Canadian pipeline volumes are derived from the Office of Fossil Energy, Natural Gas Imports and Exports, and EIA estimates of dry natural gas imports.

251

Natural Gas Exports Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Estimates for Canadian pipeline volumes are derived from the Office of Fossil Energy, Natural Gas Imports and Exports, and EIA estimates of dry natura ...

252

Public comment re Price-Anderson Act | Department of Energy  

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

Price Anderson Act Concerning The Continuation Or Modification Of The Act Public comment re Price-Anderson Act More Documents & Publications PUBLIC COMMENT re Price-Anderson Act...

253

Subject: Cost and Price Analysis | Department of Energy  

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

Subject: Cost and Price Analysis Subject: Cost and Price Analysis Subject: Cost and Price Analysis More Documents & Publications Acquisition Letter 2009-03 Acquisition...

254

Effect of Energy Efficiency Standards on Natural Gas Prices  

E-Print Network (OSTI)

of Conservation on the Natural Gas Price,? memo to RichardEfficiency Standards on Natural Gas Prices Michael Carnall,Efficiency Standards on Natural Gas Prices Michael Carnall,

Carnall, Michael

2012-01-01T23:59:59.000Z

255

New York Home Heating Oil Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

The severity of this spot price increase is causing dramatic changes in residential home heating oil prices, although residential price movements are usually a ...

256

Retail Price Changes Lag Spot Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

This effect can explain some of the seemingly anomalous behavior of retail prices in relation to wholesale. ... Also, many have claimed that gasoline prices rise ...

257

Quantifying the value that energy efficiency and renewable energy provide as a hedge against volatile natural gas prices  

E-Print Network (OSTI)

Energy Efficiency and Renewable Energy Provide as a Hedgeenergy efficiency and renewable energy have long argued thatenergy efficiency and renewable energy can provide price

Bolinger, Mark; Wiser, Ryan; Bachrach, Devra; Golove, William

2002-01-01T23:59:59.000Z

258

Less platinum means lower prices for autos | Department of Energy  

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

Less platinum means lower prices for autos Less platinum means lower prices for autos Less platinum means lower prices for autos January 21, 2010 - 3:29pm Addthis Joshua DeLung You might wear a platinum wedding band, but tucked away in the guts of a car probably isn't where Americans prefer this pricey, precious metallic element to be. Luckily, researchers at 3M's Fuel Cell Component's Program in St. Paul, Minnesota have us covered. 3M has developed technology that will reduce the amount of platinum necessary in a fuel cell system by using nano-catalyst particles that actually make surface atoms more efficient at producing energy. Platinum is needed in fuel cells because no other metals are even close to being as effective at speeding up chemical reactions to make power. 3M is among a handful of fuel cell system suppliers in the U.S., and these advancements

259

The Influence of a CO2 Pricing Scheme on Distributed Energy Resources in California's Commercial Buildings  

E-Print Network (OSTI)

J.L. Edwards, (2003), “Distributed Energy Resources CustomerGas-Fired Distributed Energy Resource Characterizations,”of a CO2 Pricing Scheme on Distributed Energy Resources in

Stadler, Michael

2010-01-01T23:59:59.000Z

260

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.  

E-Print Network (OSTI)

contractual, energy and market-related characteristics. Afunction of local energy-market and weather characteristicslocal-level wholesale energy market price dynamics and local

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "nems energy price" 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

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.  

E-Print Network (OSTI)

contractual, energy and market-related characteristics. Alocal-level wholesale energy market price dynamics and localexpenses, and energy factor market inputs. In a companion

Jaffee, Dwight M.; Stanton, Richard; Wallace, Nancy E.

2010-01-01T23:59:59.000Z

262

Environmental Energy Technologies Division Energy Analysis Department Managing Natural Gas Price  

E-Print Network (OSTI)

-fired generation contracts 2) Reduces Natural Gas Prices: Increased RE reduces natural gas demand, and consequently Quantity Q0 P0 P1 Q1 Original Demand ShiftedDemandq Theory: Increased use of RE will reduce natural gasEnvironmental Energy Technologies Division · Energy Analysis Department Managing Natural Gas Price

263

Summary Short?Term Energy Outlook Supplement: Energy Price Volatility and Forecast Uncertainty 1  

E-Print Network (OSTI)

It is often noted that energy prices are quite volatile, reflecting market participants’ adjustments to new information from physical energy markets and/or markets in energyrelated financial derivatives. Price volatility is an indication of the level of uncertainty, or risk, in the market. This paper describes how markets price risk and how the marketclearing process for risk transfer can be used to generate “price bands ” around observed futures prices for crude oil, natural gas, and other commodities. These bands provide a quantitative measure of uncertainty regarding the range in which markets expect prices to trade. The Energy Information Administration’s (EIA) monthly Short-Term Energy Outlook (STEO) publishes “base case ” projections for a variety of energy prices that go out 12 to 24 months (every January the STEO forecast is extended through December of the following year). EIA has recognized that all price forecasts are highly uncertain and has described the uncertainty by identifying the market factors that may significantly move prices away from their expected paths, such as economic growth, Organization of Petroleum Exporting Countries (OPEC) behavior, geo-political events, and hurricanes.

unknown authors

2009-01-01T23:59:59.000Z

264

China's coal price disturbances: Observations, explanations, and implications for global energy economies  

E-Print Network (OSTI)

China's coal price disturbances: Observations, explanations, and implications for global energy I G H T S c Since China decontrolled its coal prices, the price of coal has risen steadily in China, accompanied by unusual volatility. c Relatively high and volatile coal prices have triggered widespread power

Jackson, Robert B.

265

West Texas Intermediate Crude Oil Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

West Texas Intermediate Crude Oil Prices. Sources: History: EIA; Projections: Short-Term Energy Outlook, September 2000.

266

Comment re Price-Anderson Act | Department of Energy  

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

Comment re Price-Anderson Act Comment re Price-Anderson Act Letter to DOE General Counsel from Marilyn Gayle Hoff re renewal of the Price-Anderson Act Comment re Price-Anderson Act...

267

China Lingbo Kong, Lynn Price, Ali Hasanbeigi China Energy Group  

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

Potential for reducing paper mill Potential for reducing paper mill energy use and carbon dioxide emissions through plant-wide energy audits: A case study in China Lingbo Kong, Lynn Price, Ali Hasanbeigi China Energy Group Environmental Energy Technologies Division Lawrence Berkeley National Laboratory Huanbin Liu, Jigeng Li State Key Laboratory of Pulp and Paper Engineering, South China University of Technology Reprint version of journal article published in "Applied Energy", Volume 102, February 2013 March 2013 This work was supported by the China Sustainable Energy Program of the Energy Foundation through the U.S. Department of Energy under Contract No. DE-AC02- 05CH11231. ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY

268

Phillip Price  

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

Phillip Price Phil Price Sustainable Energy Systems Group Demand Response Research Center (DRRC) Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R2002 Berkeley CA 94720...

269

Gasoline Prices  

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

and diesel price estimates from the Energy Information Administration Understanding Gas Prices Photo of gasoline receipt What determines the cost of gasoline? What's the...

270

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network (OSTI)

Forecasts Using NEMS and GIS National Climatic Data Center.with Changing Boundaries." Use of GIS to Understand Socio-Forecasts Using NEMS and GIS Appendix A. Map Results Gallery

Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

2005-01-01T23:59:59.000Z

271

Transmission access and pricing with multiple separate energy forward markets  

Science Conference Proceedings (OSTI)

California`s congestion management protocols provide comparable access and prices to all users of the transmission system (power exchange and bilateral contract parties). The users implicitly bid for capacity on major transmission paths between zones. The Independent System Operator (ISO) allocates the available transmission capacity on these paths so that it maximizes the value of this capacity as measured by the users` bids. Everyone scheduling flow on a congested path is charged the marginal-cost-based price for using the path. The ISO keeps each party`s portfolio of generation and load individually in balance when adjusting schedules to relieve congestion on interzonal paths. By keeping the portfolios of the different parties separate, the ISO clears its transmission market without arranging energy trades between parties. Parties are responsible for arranging their own trades. The ISO does not become involved in the energy forward markets.

Gribik, P.R. [Perot Systems Corp., Los Angeles, CA (United States); Angelidis, G.A. [Pacific Gas and Electric Co., San Francisco, CA (United States); Kovacs, R.R. [Southern California Edison, Rosemead, CA (United States)

1999-08-01T23:59:59.000Z

272

Quantifying the value that energy efficiency and renewable energy provide as a hedge against volatile natural gas prices  

E-Print Network (OSTI)

and renewable energy by equating it with the cost ofand renewable energy are often compared to the cost ofrenewable energy can provide price stability at lower cost

Bolinger, Mark; Wiser, Ryan; Bachrach, Devra; Golove, William

2002-01-01T23:59:59.000Z

273

Serious energy supply disruptions and recent hikes in energy prices are impacting the entire  

E-Print Network (OSTI)

Efficiency and Renewable Energy U.S. Department of Energy Washington, DC 20585-0121 #12;Serious energy supply disruptions and recent hikes in energy prices are impacting the entire United States, including the nation's industries. Save Energy Now can help your manufacturing facility reduce

de la Torre, José R.

274

Integrating Renewable Energy Contracts and Wholesale Dynamic Pricing to Serve Aggregate  

E-Print Network (OSTI)

1 Integrating Renewable Energy Contracts and Wholesale Dynamic Pricing to Serve Aggregate Flexible batteries, with renewable energy resources. We formulate a stochastic optimal control problem that describes and the degree to which the aggregator can respond to dynamic pricing. Index Terms--Dynamic pricing, renewable

Oren, Shmuel S.

275

Microsoft PowerPoint - Arseneau_EIA_ShortTermDriversofEnergyPrices.ppt [Compatibility Mode]  

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

SHORT-TERM ENERGY PRICES: SHORT-TERM ENERGY PRICES: WHAT DRIVERS MATTER MOST? DAVID M. ARSENEAU FEDERAL RESERVE BOARD U.S. Energy Information Administration & Johns Hopkins University - SAIS FEDERAL RESERVE BOARD Johns Hopkins University SAIS 2010 Energy Conference Washington, D.C., U.S.A. A il 6 2010 April 6, 2010 BROAD COMMODITY PRICES SINCE 2000 Short-term Energy Prices: What Drivers Matters Most? BROAD COMMODITY PRICES SINCE 2000 April 6, 2010 Seminar: 2010 EIA/SAIS Energy Conference 2 A (GROSSLY OVERSIMPLIFIED) FRAMEWORK Short-term Energy Prices: What Drivers Matters Most? A (GROSSLY OVERSIMPLIFIED) FRAMEWORK ...  Two candidate explanations:  "Fundamentals"  Fundamentals  Trend price movements appear broadly interpretable through lens of fundamental market developments...

276

The potential impact of renewable energy deployment on natural gas prices in New England  

E-Print Network (OSTI)

The Potential Impact of Renewable Energy Deployment onand in New England. Renewable energy (RE) technologies cangeneration with fixed-price renewable electricity supply. In

Wiser, Ryan; Bolinger, Mark

2004-01-01T23:59:59.000Z

277

Short-Term Energy Outlook Model Documentation: Regional Residential Heating Oil Price Model  

Reports and Publications (EIA)

The regional residential heating oil price module of the Short-Term Energy Outlook (STEO) model is designed to provide residential retail price forecasts for the 4 census regions: Northeast, South, Midwest, and West.

Information Center

2009-11-09T23:59:59.000Z

278

Short-Term Energy Outlook Model Documentation: Regional Residential Propane Price Model  

Reports and Publications (EIA)

The regional residential propane price module of the Short-Term Energy Outlook (STEO) model is designed to provide residential retail price forecasts for the 4 census regions: Northeast, South, Midwest, and West.

Information Center

2009-11-09T23:59:59.000Z

279

The National Energy Modeling System: An Overview 1998 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

INTRODUCTION INTRODUCTION blueball.gif (205 bytes) Purpose of NEMS blueball.gif (205 bytes) Representations of Energy Market blueball.gif (205 bytes) Technology Representation blueball.gif (205 bytes) External Availability The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S.

280

Effect of Energy Efficiency Standards on Natural Gas Prices  

Science Conference Proceedings (OSTI)

A primary justification for the establishment of energy efficiency standards for home appliances is the existence of information deficiencies and externalities in the market for appliances. For example, when a long-term homeowner purchases a new gas-fired water heater, she will maximize the value of her purchase by comparing the life-cycle cost of ownership of available units, including both total installed cost - purchase price plus installation costs - and operating cost in the calculus. Choice of the appliance with the lowest life-cycle costs leads to the most economically efficient balance between capital cost and fuel cost. However, if the purchaser's expected period of ownership is shorter than the useful life of the appliance, or the purchaser does not pay for the fuel used by the appliance, as is often the case with rental property, fuel cost will be external to her costs, biasing her decision toward spending less on fuel efficiency and resulting in the purchase of an appliance with greater than optimal fuel usage. By imposing an efficiency standard on appliances, less efficient appliances are made unavailable, precluding less efficient purchases and reducing fuel usage. The reduction in fuel demanded by residential users affects the total demand for such fuels as natural gas, for example. Reduced demand implies that residential customers are willing to purchase less gas at each price level. That is, the demand curve, labeled D{sub 0} in Figure 1, shifts to the left to D{sub 1}. If there is no change in the supply function, the supply curve will intersect the demand curve at a lower price. Residential demand is only one component of the total demand for natural gas. It is possible that total demand will decline very little if demand in other sectors increases substantially in response to a decline in the price. If demand does decrease, modeling studies generally confirm the intuition that reductions in demand for natural gas will result in reductions in its price as seen at the wellhead (Wiser 2007). The magnitude of the effect on price relative to the demand reduction, and the mechanism through which it occurs, is less well established. This report attempts to quantify the potential effects of reduced demand for natural gas in the residential sector, in response to the implementation of an energy efficiency standard for water heaters.

Carnall, Michael; Dale, Larry; Lekov, Alex

2011-07-26T23:59:59.000Z

Note: This page contains sample records for the topic "nems energy price" 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

Virginia Natural Gas Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Natural Gas Prices ... Residential Price: 15.42: 16.19: 13.83: 12.73: 12.72: 12.52: ... electric power price data are for regulated electric utilities only; ...

282

Public comment re Price-Anderson Act | Department of Energy  

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

comment re Price-Anderson Act Public comment re Price-Anderson Act Comments on Notice of Inquiry Concerning Preparation of Report to Congress on the Price-Anderson Act. TRW...

283

Public comment to Price-Anderson Act | Department of Energy  

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

Public comment to Price-Anderson Act Public comment to Price-Anderson Act Letter from Glenn Sundstrom to DOE urging DOE to "eliminate the limit of liability in Price Anderson...

284

Public Comment re Price-Anderson Act | Department of Energy  

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

Comment re Price-Anderson Act Public Comment re Price-Anderson Act RESPONSE TO REQUEST FOR PUBLIC COMMENTS - FAC-026-98 - States that Price-Anderson indemnification should be...

285

Public comment re Price-Anderson Act | Department of Energy  

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

Public comment re Price-Anderson Act Public comment re Price-Anderson Act Public Comment on Notice of Inquiry Concerning Preparation of Report to Congress on the Price Anderson...

286

Effect of Energy Efficiency Standards on Natural Gas Prices  

E-Print Network (OSTI)

of Conservation on the Natural Gas Price,? memo to Richarddemand reductions on natural gas prices, see Wiser 2005. andwas justified by a gas price of $10 may not be profitable at

Carnall, Michael

2012-01-01T23:59:59.000Z

287

Effect of Energy Efficiency Standards on Natural Gas Prices  

E-Print Network (OSTI)

of Conservation on the Natural Gas Price,? memo to RichardStandards on Natural Gas Prices Michael Carnall, Larry Dale,Standards on Natural Gas Prices Michael Carnall, Larry Dale,

Carnall, Michael

2012-01-01T23:59:59.000Z

288

Energy and Financial Markets Overview: Crude Oil Price Formation  

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

John Maples John Maples 2011 EIA Energy Conference April 26, 2011 Transportation and the Environment Light-duty vehicle combined Corporate Average Fuel Economy Standards (CAFE) in three cases, 2005-2035 2 0 20 40 60 80 2005 2010 2015 2020 2025 2030 2035 miles per gallon Source: EIA, Annual Energy Outlook 2011 CAFE6 CAFE3 Reference John Maples, April 26, 2011 Light-duty vehicle delivered energy consumption and total transportation carbon dioxide emissions, 2005-2035 3 0 5 10 15 20 2005 2010 2015 2020 2025 2030 2035 Reference CAFE3 CAFE6 quadrillion Btu 0 500 1000 1500 2000 2500 2005 2010 2015 2020 2025 2030 2035 million metric tons carbon dioxide equivalent Source: EIA, Annual Energy Outlook 2011 John Maples, April 26, 2011 Distribution of new light-duty vehicle sales by price, 2010 and 2025 (2009$) 4 Source: EIA, Annual Energy Outlook 2011

289

Gasoline Prices at Historical Lows - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Given recent declines in crude oil and wholesale gasoline prices, we expect retail prices to continue to ease over at least the next few weeks.

290

Term Energy The Implications of Lower Natural Gas Prices ...  

U.S. Energy Information Administration (EIA)

... by about 2.1 billion cubic feet per ... national average delivered coal price was $ ... the regional average delivered coal price to electric ...

291

Today in Energy - Average wholesale natural gas prices mostly ...  

U.S. Energy Information Administration (EIA)

Average spot natural gas prices, which reflect the wholesale price of natural gas at major trading points, generally declined in most U.S. regional markets about 7% ...

292

Public comment re Price-Anderson Act | Department of Energy  

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

Reply comments to notice of inquiry concerning preparation of report to Congress on the Price-Anderson Act Public comment re Price-Anderson Act More Documents & Publications...

293

Natural Gas Futures Prices (NYMEX) - Energy Information Administration  

U.S. Energy Information Administration (EIA)

The natural gas liquids (NGL) composite price is derived from daily Bloomberg spot price data for natural gas liquids at Mont Belvieu, Texas, ...

294

Average Weekly Propane Spot Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Propane spot prices at the major trading hubs remained relatively close through the fall of 2000, even as they were pushed higher by rapidly rising natural gas prices.

295

Average Weekly Propane Spot Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Propane spot prices at the major trading hubs remained relatively close through October 2000, but uncoupled in California as natural gas prices rose rapidly during ...

296

The National Energy Modeling System: An overview 1998  

Science Conference Proceedings (OSTI)

The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of US energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors world energy markets, resource availability and costs, behavior and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. This report presents an overview of the structure and methodology of NEMS and each of its components. The first chapter provides a description of the design and objectives of the system, followed by a chapter on the overall modeling structure and solution algorithm. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. 21 figs.

NONE

1998-02-01T23:59:59.000Z

297

EIA-Annual Energy Outlook 2010 - Low Oil PriceTables  

Gasoline and Diesel Fuel Update (EIA)

Oil Price Tables (2007-2035) Oil Price Tables (2007-2035) Annual Energy Outlook 2010 Main Low Oil Price Tables (2007- 2035) Table Title Formats Summary Low Oil Price Case Tables PDF Gif Year-by-Year Low Oil Price Case Tables Excel Gif Table 1. Total Energy Supply and Disposition Summary Excel Gif Table 2. Energy Consumption by Sector and Source Excel Gif Table 3. Energy Prices by Sector and Source Excel Gif Table 4. Residential Sector Key Indicators and Consumption Excel Gif Table 5. Commercial Sector Indicators and Consumption Excel Gif Table 6. Industrial Sector Key Indicators and Consumption Excel Gif Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption Excel Gif Table 8. Electricity Supply, Disposition, Prices, and Emissions Excel Gif Table 9. Electricity Generating Capacity

298

Alaska Prices, Sales Volumes & Stocks - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Prices, Sales Volumes & Stocks by State Area: Period: Download Series History: Definitions, Sources ...

299

Annual Energy Outlook 2009 with Projections to 2030  

Science Conference Proceedings (OSTI)

The Annual Energy Outlook 2009 (AEO2009), prepared by the Energy Information Administration (EIA), presents long-term projections of energy supply, demand, and prices through 2030, based on results from EIA’s National Energy Modeling System (NEMS). EIA published an “early release” version of the AEO2009 reference case in December 2008.

None

2009-03-01T23:59:59.000Z

300

Renewable Energy Price-Stability Benefits in Utility Green Power Programs  

SciTech Connect

This paper examines utility experiences when offering the fixed-price benefits of renewable energy in green pricing programs, including the methods utilized and the impact on program participation. It focuses primarily on utility green pricing programs in states that have not undergone electric industry restructuring.

Bird, L. A.; Cory, K. S.; Swezey, B. G.

2008-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "nems energy price" 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

Analyzing Multiple-Product Power Markets: Simulation of Energy and Ancillary Services Prices and System Adequacy  

Science Conference Proceedings (OSTI)

The interpretation of price signals is a primary business task of power market participants, made more challenging by the shift from cost-based to bid-based pricing. This report outlines a novel pricing framework that accounts for the behavior and interaction of forward and real-time energy markets and the ancillary services required to maintain system reliability.

2000-12-01T23:59:59.000Z

302

Annual Energy Outlook 2013 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... Uranium fuel, nuclear reactors, ... About the National Energy Modeling System (NEMS)

303

Energy prices: Gasoline price increases in early 1985 interrupted previous trend  

SciTech Connect

In 1985, wholesale gasoline prices did not continue the downward trend begun in 1981 despite a continuing decline in crude oil prices. As a result, the spread between these two prices increased in 1985, but only to a level approximating what existed in 1981 and 1982. The Federal Trade Commission investigated two proposed mergers between Texaco, Inc., with Getty Oil Company and Chevron Corporation with Gulf Corporation that had the potential for anticompetitive effects. Using a regression analysis, GAO suggests that increases in concentration at the state level have a positive association with gasoline prices. Because the required divestitures eliminated the increases in concentration exceeding the merger guidelines, GAO believes the two mergers would have had only a small effect on prices.

1986-01-01T23:59:59.000Z

304

Energy Price Indices and Discount Factors for Life-Cycle Cost ...  

Science Conference Proceedings (OSTI)

... for project alternatives over their designated study period ... FEMP, EIA extrapolated energy prices after the year ... o t = index used to designate the year ...

2002-03-26T23:59:59.000Z

305

Does EIA publish off-road diesel fuel prices? - FAQ - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Greenhouse gas data, voluntary report- ing, electric power plant emissions. Highlights ... Does EIA have city or county-level energy consumption and price data?

306

Monthly World Oil Prices, 1976 - 2000 - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Monthly World Oil Prices, 1976 - 2000. Sources: EIA, Short-Term Energy Outlook database, August 2000. Previous slide: ... Since US refiners buy crude oil from so many ...

307

Summer 2011 gasoline price review - Today in Energy - U.S ...  

U.S. Energy Information Administration (EIA)

Short, timely articles with graphics on energy, facts, issues, and trends ... five years were average gasoline prices higher at the ... decreased almost $20 per ...

308

Relationship Between Wind Generation and Balancing Energy Market Prices in ERCOT: 2007-2009  

DOE Green Energy (OSTI)

This paper attempts to measure the average marginal effects of wind generation on the balancing-energy market price in ERCOT with the help of econometric analysis.

Nicholson, E.; Rogers, J.; Porter, K.

2010-11-01T23:59:59.000Z

309

Renewable Energy Prices in State-Level Feed-in Tariffs: Federal...  

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

408 January 2010 Renewable Energy Prices in State-Level Feed-in Tariffs: Federal Law Constraints and Possible Solutions Scott Hempling National Regulatory Research Institute Silver...

310

Gasoline prices moved in tight range in 2013 - Today in Energy ...  

U.S. Energy Information Administration (EIA)

... › International Energy Statistics › Gulf of Mexico ... Gulf Coast retail gasoline prices were lower than the rest of the country for much of ...

311

Can Deployment of Renewable Energy and Energy Efficiency PutDownward Pressure on Natural Gas Prices  

SciTech Connect

High and volatile natural gas prices have increasingly led to calls for investments in renewable energy and energy efficiency. One line of argument is that deployment of these resources may lead to reductions in the demand for and price of natural gas. Many recent U.S.-based modeling studies have demonstrated that this effect could provide significant consumer savings. In this article we evaluate these studies, and benchmark their findings against economic theory, other modeling results, and a limited empirical literature. We find that many uncertainties remain regarding the absolute magnitude of this effect, and that the reduction in natural gas prices may not represent an increase in aggregate economic wealth. Nonetheless, we conclude that many of the studies of the impact of renewable energy and energy efficiency on natural gas prices appear to have represented this effect within reason, given current knowledge. These studies specifically suggest that a 1% reduction in U.S. natural gas demand could lead to long-term average wellhead price reductions of 0.8% to 2%, and that each megawatt-hour of renewable energy and energy efficiency may benefit natural gas consumers to the tune of at least $7.5 to $20.

Wiser, Ryan; Bolinger, Mark

2005-06-01T23:59:59.000Z

312

Energy & Financial Markets: What Drives Crude Oil Prices? - Energy ...  

U.S. Energy Information Administration (EIA)

EIA's traditional coverage of physical fundamentals such as energy consumption, production, inventories, spare production capacity, ...

313

Investigation of residential central air conditioning load shapes in NEMS  

E-Print Network (OSTI)

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

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

2002-01-01T23:59:59.000Z

314

AEO2011: Total Energy Supply, Disposition, and Price Summary | OpenEI  

Open Energy Info (EERE)

Total Energy Supply, Disposition, and Price Summary Total Energy Supply, Disposition, and Price Summary Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 1, and contains only the reference case. The dataset uses quadrillion BTUs, and quantifies the energy prices using U.S. dollars. The data is broken down into total production, imports, exports, consumption, and prices for energy types. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO consumption EIA export import production reference case total energy Data application/vnd.ms-excel icon AEO2011: Total Energy Supply, Disposition, and Price Summary - Reference Case (xls, 112.8 KiB) Quality Metrics

315

Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis- 2010  

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

Report describes the 2010 edition of energy price indices and discount factors for performing life-cycle cost analyses of energy and water conservation and renewable energy projects in federal facilities.

316

South Carolina Natural Gas Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) Area: ... History; Citygate Price: 4.61: 5.77: 6.13: 6.14: 5.92: 5.54: ...

317

Oregon Natural Gas Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) Area: ... History; Citygate Price: 5.04: 5.35: 5.93: 6.44: 6.74: 5.79: ...

318

PUBLIC COMMENT re Price-Anderson Act | Department of Energy  

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

PUBLIC COMMENT re Price-Anderson Act PUBLIC COMMENT re Price-Anderson Act PUBLIC COMMENT (REPLY) by OHM Remediation Services Corp. in response to DOE's PREPARATION OF REPORT TO...

319

Public comment re Price-Anderson Act | Department of Energy  

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

comment re Price-Anderson Act Public comment re Price-Anderson Act We have just been notified of the December 31, 1997, Federal Register Notice of opportunity for public comment on...

320

Public comment re Price-Anderson Act | Department of Energy  

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

Public comment re Price-Anderson Act Public comment re Price-Anderson Act In response the Federal Register notice of December 31, 1997 requesting public comments on the...

Note: This page contains sample records for the topic "nems energy price" 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

Why Are Oil Prices So High? - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Why Are Oil Prices So High? 1 Crude oil prices have increased dramatically in recent ... will be about 10 million barrels below the 5 ?year average by the end of this

322

Regional Residential Heating Oil Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

One of the first places where consumers are feeling the impact of this winter’s market pressures is in home heating oil prices. This chart shows prices through ...

323

Propane Prices Follow Crude Oil - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Prices are one of the first signals in deciphering what is happening in the market. This chart shows propane prices (both spot and retail) as well as spot heating oil ...

324

Availability and Price of Non-Iranian Petroleum - Energy ...  

U.S. Energy Information Administration (EIA)

Coal. Reserves, production, prices, employ- ment and productivity, ... RBOB refers to reformulated blendstock for oxygenate blending traded on the ...

325

How many people actually see the price signal? Quantifying market failures in the end use of energy  

E-Print Network (OSTI)

the tenant. If energy prices rise (from market fluctuationsenergy consumption that is “affected” by a market failure and “insulated” from pricemarket barriers, principal agent problem, energy efficiency, investment, behaviour, energy price,

Meier, Alan; Eide, Anita

2007-01-01T23:59:59.000Z

326

The impact of regional energy-price differentials on manufacturing employment in the United States  

Science Conference Proceedings (OSTI)

This study is an econometric analysis of the role of industrial energy prices in the location of manufacturing employment in the United States. Historical electricity and natural gas prices are analyzed for the nine US Census divisions. Econometric regression equations are used to show the role of electricity and natural gas prices in the location of output and in labor demand for SIC sectors 22 (textiles), 28 (chemicals), and 35 (nonelectrical machinery) in each Census division. A structural econometric model is built showing the three-fold impact of energy prices on textile employment in the Middle Atlantic division. Energy prices are linked to investment, output, and the demand for labor. Energy prices are shown to have a significant but secondary role in determining the location of manufacturing employment.

Dye, R.A.

1988-01-01T23:59:59.000Z

327

China energy issues : energy intensity, coal liquefaction, and carbon pricing  

E-Print Network (OSTI)

In my dissertation I explore three independent, but related, topics on China's energy issues. First, I examine the drivers for provincial energy-intensity trends in China, and finds that technology innovation is the key ...

Wu, Ning, Ph. D. Massachusetts Institute of Technology

2011-01-01T23:59:59.000Z

328

Economic Effect on Agricultural Production of Alternative Energy Input Prices: Texas High Plains  

E-Print Network (OSTI)

The Arab oil embargo of 1973 awakened the world to the reality of energy shortages and higher fuel prices. Agriculture in the United States is highly mechanized and thus energy intensive. This study seeks to develop an evaluative capability to readily determine the short-run effect of rising energy prices on agricultural production. The results are measured in terms of demand schedules for each input investigated, net revenue adjustments, cropping pattern shifts, and changes in agricultural output. The High Plains of Texas was selected as a study area due to the heterogeneous nature of agricultural production in the region and highly energy intensive methods of production employed. The region is associated with a diversity in crops and production practices as well as a high degree of mechanization and irrigation, which means agriculture is very dependent upon energy inputs and, in turn, is significantly affected by energy price changes. The study area was defined by the Texas Agricultural Extension subregions of High Plains II, High Plains III, and High Plains IV. The crops chosen for study were cotton, grain sorghum, wheat, corn, and soybeans. The energy and energy-related inputs under investigation were diesel, herbicide, natural gas, nitrogen fertilizer, and water. Mathematical linear programming was used as the analytical technique with parametric programming techniques incorporated into the LP model to evaluate effect of varying input price parameters over a specified range. Thus, demand schedules were estimated. The objective function was constructed using variable costs only; no fixed costs are considered. Therefore, the objective function maximizes net revenue above variable costs and thus limits the study to the short run. The data bases for the model were crop enterprise budgets developed by the Texas Agricultural Extension Service. These budgets were modified to adapt them to the study. Particularly important was the substitution of owner-operated harvesting equipment for custom-harvesting costs. This procedure made possible the delineation of fuel use by crop and production alternative which was necessary information in the accounting of costs. The completed LP model was applied to 16 alternative situations made up of various input and product price combinations which are considered as feasible in the short run future. The results reveal that diesel consumption would change very little in the short run unless commodity prices simultaneously decline below the lowest prices since 1971 or unless diesel price approaches $2.00 per gallon. Under average commodity price conditions, natural gas consumption would not decline appreciably until the price rose above $4.00 per 1000 cubic feet (mcf). Even when using the least product prices since 1971, natural gas would be consumed in substantial amounts as long as the price was below $1.28 per Mcf. The findings regarding nitrogen indicate that present nitrogen prices are within a critical range such that consumption would be immediately affected by nitrogen price increases. Water price was considered as the price a farmer can afford to pay for water above pumping and distribution costs. Application of water was defined as the price that would be paid for imported water. Under average commodity price conditions, the study results show that as water price rises from zero dollars to $22 per acre foot there would be less than a 4 percent reduction in consumption. However, as the price continues to rise, consumption would decline dramatically reaching zero at a water price of $71.75 per acre foot. This study indicates that rising input prices would cause acreage shifts from irrigated to dryland; however, with average commodity prices, these shifts do not occur until diesel reaches $2.69 per gallon, or natural gas sells for $1.92 per Mcf, or nitrogen price is $.41 per pound, or water price reaches $14.69 per acre foot. In general, the first crops that would shift out of production as energy input prices rise woul

Adams, B. M.; Lacewell, R. D.; Condra, G. D.

1976-06-01T23:59:59.000Z

329

Definition: Time-of-use Pricing | Open Energy Information  

Open Energy Info (EERE)

of-use Pricing of-use Pricing Jump to: navigation, search Dictionary.png Time-of-use Pricing Time-of-use pricing (TOU) typically applies to usage over broad blocks of hours (e.g., on-peak=6 hours for summer weekday afternoon; off-peak= all other hours in the summer months) where the price for each period is predetermined and constant.[1] Related Terms smart grid References ↑ https://www.smartgrid.gov/category/technology/time_of_use_pricing [[C LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ategory: Smart Grid Definitionsoff-peak, |Template:BASEPAGENAME]]off-peak, Retrieved from "http://en.openei.org/w/index.php?title=Definition:Time-of-use_Pricing&oldid=502494" Category: Definitions What links here Related changes Special pages Printable version

330

DRAFT DO NOT QUOTE Energy Prices and Energy Intensity in China: A Structural Decomposition Analysis and Econometrics Study  

E-Print Network (OSTI)

Since the start of its economic reforms in 1978, China's energy prices relative to other prices have increased. At the same time, its energy intensity, i.e., energy consumption per unit of Gross Domestic Product (GDP), has declined dramatically, by about 70%, in spite of increases in energy consumption. Is this just a coincidence? Or does a systematic relationship exist between energy prices and energy intensity? In this study, we examine whether and how China’s energy price changes affect its energy intensity trend during 1980-2002 at a macro level. We conduct the research by using two complementary economic models: the input-output-based structural decomposition analysis (SDA) and econometric regression models and by using a decomposition method of own-price elasticity of energy intensity. Findings include a negative own-price elasticity of energy intensity, a price-inducement effect on energyefficiency improvement, and a greater sensitivity (in terms of the reaction of energy intensity towards changes in energy prices) of the industry sector, compared to the overall economy. Analysts can use these results as a starting point for China's energy and carbon

Xiaoyu Shi; Karen R. Polenske; Xiaoyu Shi; Karen R. Polenske

2005-01-01T23:59:59.000Z

331

Poster abstract: wireless sensor network characterization - application to demand response energy pricing  

Science Conference Proceedings (OSTI)

This poster presents latency and reliability characterization of wireless sensor network as applied to an advanced building control system for demand response energy pricing. A test network provided the infrastructure to extract round trip time and packet ... Keywords: advanced building control, demand response energy pricing

Nathan Ota; Dan Hooks; Paul Wright; David Auslander; Therese Peffer

2003-11-01T23:59:59.000Z

332

Reply Comments of Energy Contractors Price-Anderson Group to DOE Notice of  

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

Reply Comments of Energy Contractors Price-Anderson Group to DOE Reply Comments of Energy Contractors Price-Anderson Group to DOE Notice of Inquiry Reply Comments of Energy Contractors Price-Anderson Group to DOE Notice of Inquiry Reply comments by the ad hoc Energy Contractors Price-Anderson Group (the "Group") in response to various comments submitted to the U.S. Department of Energy on its Federal Register "Notice of Inquiry concerning preparation of report to Congress on the Price-Anderson Act" of December 31, 1997. 62 Fed.Reg. 68272. The Group is comprised of comprised of Bechtel National, Inc., BNFL, Inc., BWX Technologies, Inc., Duke Engineering & Services, Inc., Fluor Corporation, Johnson Controls World Services Corporation, Newport News Shipbuilding and Dry Dock Company, Nuclear Fuel Services,

333

EIA - The National Energy Modeling System: An Overview 2003-Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction The National Energy Modeling System: An Overview 2003 Introduction The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2025. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). The National Energy Modeling System: An Overview 2003 presents an overview of the structure and methodology of NEMS and each of its components. This chapter provides a description of the design and objectives of the system, followed by a chapter on the overall modeling structure and solution algorithm. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. More detailed model documentation reports for all the NEMS modules are also available from EIA (Appendix, “Bibliography”).

334

Public comment re Price-Anderson Act | Department of Energy  

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

comment re Price-Anderson Act comment re Price-Anderson Act Public comment re Price-Anderson Act Notice of Inquiry Concerning Preparation of Report to Congress on the Price-Anderson Act 62 Federal Register 250. Universities Research Association, Inc. (URA) is a nonprofit corporation consisting of 87 member research universities located in the United States, Canada, Japan, and Italy.This Association strongly supports the continuation of the provisions of the Price-Anderson Act for DOE contractors and suppliers, including the exemption of Fermilab, among other named DOE national laboratories, from the payment of civil penalties under that Act. It is our experience at Fermilab that a few subcontractors/suppliers expect Price-Anderson protection and will not contract with the Laboratory without it.

335

Public Comment re Price-Anderson Act | Department of Energy  

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

Comment re Price-Anderson Act Comment re Price-Anderson Act Public Comment re Price-Anderson Act Comments for modification of the Price-Anderson Act Notice of Inquiry(NOI) by the Board of Mineral County Commissioners. The provisions covered by the current Act should, at the very least, be maintained. We are concerned that if the DOE Price-Anderson indemnification is not continued, we will not have the proper protection should a severe accident occur when spent nuclear fuel is transported through our community on its way to Yucca Mountain. The maintaining of the DOE PriceAnderson indemnification becomes even more important with the privatization of the OC RWM transportation program. DOE cannot expect private contractors, and in particular carriers, to be able to afford adequate coverage from a private insurer.

336

Sarah Price  

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

Sarah K Price Sarah Price Energy Efficiency Standards Group Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R4000 Berkeley CA 94720 Office Location: 90-4128B (510)...

337

The National Energy Modeling System: An overview  

Science Conference Proceedings (OSTI)

The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of US energy markets for the midterm period of 1990 to 2010. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. This report presents an overview of the structure and methodology of NEMS and each of its components. The first chapter provides a description of the design and objectives of the system. The second chapter describes the modeling structure. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. Additional background on the development of the system is provided in Appendix A of this report, which describes the EIA modeling systems that preceded NEMS. More detailed model documentation reports for all the NEMS modules are also available from EIA.

Not Available

1994-05-01T23:59:59.000Z

338

Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices  

E-Print Network (OSTI)

impacts of wind energy facilities on the sales prices ofprices were affected by views of and proximity to wind energyprices, and locations in electronic form from local assessors; and (3) the representativeness of the types of wind energy

Hoen, Ben

2012-01-01T23:59:59.000Z

339

Residential Photovoltaic Energy Systems in California: The Effect on Home Sales Prices  

E-Print Network (OSTI)

E. "Understanding the Solar Home Price Premium: ElectricityMurphy, M. "Comparative Analysis of Home Buyer Response toNew Zero-Energy Homes." Summer Study on Energy Efficiency in

Hoen, Ben

2013-01-01T23:59:59.000Z

340

Report to Congress on the Price-Anderson Act | Department of Energy  

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

Report to Congress on the Price-Anderson Act Report to Congress on the Price-Anderson Act Report to Congress on the Price-Anderson Act The Price-Anderson Amendments Act of 1988 (1988 Amendments) directed both the Department of Energy (DOE) and the Nuclear Regulatory Commission (NRC) to file reports with Congress containing their respective recommendations for continuation, repeal or modification of the Price-Anderson Act. This report fulfills the statutory requirement in Atomic Energy Act § 170.p. by focusing on those provisions of the Price- Anderson Act under which DOE indemnifies its contractors and other persons for legal liability arising from a nuclear incident or precautionary evacuation caused by activities under a contract with DOE (the DOE indemnification). It also examines the related provisions in § 234A of the

Note: This page contains sample records for the topic "nems energy price" 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

North Dakota Natural Gas Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

342

Utah Prices, Sales Volumes & Stocks - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Retail prices and Prime ...

343

Natural Gas Futures Prices (NYMEX) - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are based on ...

344

No. 2 Distillate Prices - Residential - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

District of Columbia-----1983-2013: Maryland-----1983-2013: New Jersey----- ... such as spot prices and heating degree days. For all other data, ...

345

Ohio Prices, Sales Volumes & Stocks - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Retail prices and Prime ...

346

Midwest gasoline prices returning to normal - Today in Energy - U ...  

U.S. Energy Information Administration (EIA)

As previously reported, Midwest gasoline prices shot up in April and May with refinery outages—some planned, some not—that lasted longer than expected, thus ...

347

Electric Sales, Revenue, and Average Price 2011 - Energy Information...  

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

All Electricity Reports Electric Sales, Revenue, and Average Price With Data for 2011 | Release Date: September 27, 2012 | Next Release Date: September, 2013 Previous editions...

348

Price of Liquefied Natural Gas Imports - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

349

Montana Premium Gasoline Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Gasoline Prices by Formulation, Grade, Sales Type (Dollars per Gallon Excluding Taxes) ... History; Sales to End Users, Average: 2.518: 2.929: 2.085: ...

350

Maryland DTW Prices for Motor Gasoline - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Gasoline Prices by Formulation, Grade, Sales Type (Dollars per Gallon Excluding Taxes) ... History; Gasoline, Average: 2.259: 2.688: 1.820: 2.261 - ...

351

Michigan Rack Prices for Motor Gasoline - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Gasoline Prices by Formulation, Grade, Sales Type (Dollars per Gallon Excluding Taxes) ... History; Gasoline, Average: 2.191: 2.555: 1.758: 2.140 - ...

352

Wisconsin Prices, Sales Volumes & Stocks - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Retail prices and Prime ...

353

Natural Gas Futures Prices (NYMEX) - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are based on ...

354

Public comment re Price-Anderson Act | Department of Energy  

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

of the Association of American Railroads in response to DOE's invitation to comment on Price-Anderson indemnification (62 Fed. Reg. 68272 (Dec. 31, 1997). Public comment re...

355

Ethane prices trail other natural gas liquids - Today in Energy ...  

U.S. Energy Information Administration (EIA)

... shift their drilling programs to the more liquids-rich portions of natural gas fields to take advantage of considerable price premiums over dry natural gas. ...

356

Public comment re Price-Anderson Act | Department of Energy  

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

Notice of Inquiry Concerning Preparation of Report to Congress on the Price-Anderson Act, 62 Federal Register 250. Princeton University Plasma Physics Laboratory (PPPL) strongly...

357

Natural Gas Electric Power Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

358

Natural Gas Vehicle Fuel Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Gas volumes delivered for use as vehicle fuel are included in the State annual totals through 2009 but not in ... electric power price data are for regulated ...

359

Natural Gas Electric Power Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

... electric power price data are for regulated ... Gas volumes delivered for use as vehicle fuel are included in the State annual totals through 2010 but not in ...

360

December natural gas prices spike in Boston - Today in Energy ...  

U.S. Energy Information Administration (EIA)

Although growth in domestic natural gas production has driven down natural gas prices throughout most of the United States in recent years, ...

Note: This page contains sample records for the topic "nems energy price" 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

CA Crude Oil Price History - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Crudes produced in California vary in quality as shown by the different price levels of Kern and Line 63. Alaskan North Slope (ANS) crude is used in California ...

362

The Long-Run Evolution of Energy Prices  

E-Print Network (OSTI)

Abstract: I examine the long-run behavior of oil, coal, and natural gas prices, using up to 127 years of data, and address the following questions: What does over a century of data tell us about the stochastic dynamics of price evolution, and how it should be modeled? Can models of reversion to stochastically fluctuating trend lines help us forecast prices over horizons of 20 years or more? And what do the answers to these questions tell us about investment decisions that are dependent on prices and their stochastic evolution?

Robert S. Pindyck

1999-01-01T23:59:59.000Z

363

Vermont Prices, Sales Volumes & Stocks - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Retail prices and Prime ...

364

Connecticut Natural Gas Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

365

Wholesale electricity prices spike in Texas - Today in Energy - U ...  

U.S. Energy Information Administration (EIA)

Sales, revenue and prices, power plants, fuel ... starting in April of this year. ... included start-up costs in their bids to come back from outage ...

366

Colorado Prices, Sales Volumes & Stocks - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Retail prices and Prime ...

367

Global natural gas prices vary considerably - Today in Energy - U ...  

U.S. Energy Information Administration (EIA)

... even before the earthquake. The relationship between North American and northwest European spot prices appears to have changed in the last 18 months.

368

New York Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

369

Illinois Natural Gas Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

370

Global natural gas prices vary considerably - Today in Energy - U ...  

U.S. Energy Information Administration (EIA)

Japanese natural gas prices had been rising over the past year, even before the earthquake. ... Russia, United Kingdom . Email; Share; Print; Email Updates. RSS ...

371

South Dakota Natural Gas Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

372

Texas Natural Gas Prices - U.S. Energy Information Administration ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

373

Electric Sales, Revenue, and Average Price 2011 - Energy ...  

U.S. Energy Information Administration (EIA)

Electricity. Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, ... Trade and Reliability; All Reports ‹ See All Electricity Reports

374

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

Science Conference Proceedings (OSTI)

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

Not Available

1992-09-24T23:59:59.000Z

375

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

SciTech Connect

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

Not Available

1992-09-24T23:59:59.000Z

376

Understanding Crude Oil Prices  

E-Print Network (OSTI)

2004. “OPEC’s Optimal Crude Oil PriceEnergy Policy 32(2),percent change in real oil price. Figure 3. Price of crude023 Understanding Crude Oil Prices James D. Hamilton June

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

377

The long-run evolution of energy prices  

E-Print Network (OSTI)

I examine the long-run behavior of oil, coal, and natural gas prices, using up to 127 years of data, and address the following questions: What does over a century of data tell us about the stochastic dynamics of price ...

Pindyck, Robert S.

1999-01-01T23:59:59.000Z

378

Energy & Financial Markets: What Drives Crude Oil Prices?  

Reports and Publications (EIA)

An assessment of the various factors that may influence oil prices - physical market factors as well as those related to trading and financial markets. The analysis describes 7 key factors that could influence oil markets and explores possible linkages between each factor and oil prices, and includes regularly-updated graphs that depict aspects of those relationships.

2011-12-14T23:59:59.000Z

379

New Jersey Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Industrial Price: 7.73: 8.18: 7.53: 8.18: 8.68: 8.88: 2001-2013: Percentage of Total Industrial Deliveries included in Prices: NA: NA: NA: 3.8: 3.1: 2.1: 2001-2013 ...

380

New Hampshire Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Industrial Price: 10.24: 11.24: 11.24: 9.61: 10.92: 11.56: 2001-2013: Percentage of Total Industrial Deliveries included in Prices: 18.6: NA: NA: 29.2: 6.0: 5.7: 2001 ...

Note: This page contains sample records for the topic "nems energy price" 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

Can Deployment of Renewable Energy and Energy Efficiency Put Downward Pressure on Natural Gas Prices  

E-Print Network (OSTI)

increase retail electricity prices on a national averageinduced increase in electricity prices predicted by many ofprices while retail electricity prices are predicted to rise

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

382

Can Deployment of Renewable Energy and Energy Efficiency Put Downward Pressure on Natural Gas Prices  

E-Print Network (OSTI)

Hogan, W. 1989. World Oil Price Projections: A Sensitivitybe significant in the case of oil price shocks and one mightreductions in oil demand and oil prices, indirectly reducing

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

383

London Congestion Pricing: Implications for Other Cities | Open Energy  

Open Energy Info (EERE)

London Congestion Pricing: Implications for Other Cities London Congestion Pricing: Implications for Other Cities Jump to: navigation, search Tool Summary LAUNCH TOOL Name: London Congestion Pricing: Implications for Other Cities Agency/Company /Organization: Victoria Transport Policy Institute Focus Area: Standards - Incentives - Policies - Regulations Topics: Best Practices Website: www.vtpi.org/london.pdf Congestion charging has reduced traffic congestion, improved bus and taxi service, and generated substantial revenues. There is now support to expand the program to other parts of London and other cities in the United Kingdom. This is the first congestion pricing program in a major European city, and its success suggests that congestion pricing may become more politically feasible elsewhere. How to Use This Tool

384

Easing the natural gas crisis: Reducing natural gas prices through increased deployment of renewable energy and energy efficiency  

SciTech Connect

Heightened natural gas prices have emerged as a key energy-policy challenge for at least the early part of the 21st century. With the recent run-up in gas prices and the expected continuation of volatile and high prices in the near future, a growing number of voices are calling for increased diversification of energy supplies. Proponents of renewable energy and energy efficiency identify these clean energy sources as an important part of the solution. Increased deployment of renewable energy (RE) and energy efficiency (EE) can hedge natural gas price risk in more than one way, but this paper touches on just one potential benefit: displacement of gas-fired electricity generation, which reduces natural gas demand and thus puts downward pressure on gas prices. Many recent modeling studies of increased RE and EE deployment have demonstrated that this ''secondary'' effect of lowering natural gas prices could be significant; as a result, this effect is increasingly cited as justification for policies promoting RE and EE. This paper summarizes recent studies that have evaluated the gas-price-reduction effect of RE and EE deployment, analyzes the results of these studies in light of economic theory and other research, reviews the reasonableness of the effect as portrayed in modeling studies, and develops a simple tool that can be used to evaluate the impact of RE and EE on gas prices without relying on a complex national energy model. Key findings are summarized.

Wiser, Ryan; Bolinger, Mark; St. Clair, Matt

2004-12-21T23:59:59.000Z

385

AEO2011:Total Energy Supply, Disposition, and Price Summary | OpenEI  

Open Energy Info (EERE)

Total Energy Supply, Disposition, and Price Summary Total Energy Supply, Disposition, and Price Summary Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 1, and contains only the reference case. The dataset uses quadrillion Btu and the U.S. Dollar. The data is broken down into production, imports, exports, consumption and price. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO consumption disposition energy exports imports Supply Data application/vnd.ms-excel icon AEO2011:Total Energy Supply, Disposition, and Price Summary- Reference Case (xls, 112.8 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage

386

Putting downward pressure on natural gas prices: The impact of renewable energy and energy efficiency  

DOE Green Energy (OSTI)

Increased deployment of renewable energy (RE) and energy efficiency (EE) is expected to reduce natural gas demand and in turn place downward pressure on gas prices. A number of recent modeling studies include an evaluation of this effect. Based on data compiled from those studies summarized in this paper, each 1% reduction in national natural gas demand appears likely to lead to a long-term average wellhead gas price reduction of 0.75% to 2.5%, with some studies predicting even more sizable reductions. Reductions in wellhead prices will reduce wholesale and retail electricity rates, and will also reduce residential, commercial, and industrial gas bills. We further find that many of these studies appear to represent the potential impact of RE and EE on natural gas prices within the bounds of current knowledge, but that current knowledge of how to estimate this effect is extremely limited. While more research is therefore needed, existing studies suggest that it is not unreasonable to expect that any increase in consumer electricity costs attributable to RE and/or EE deployment may be substantially offset by the corresponding reduction in delivered natural gas prices. This effect represents a wealth transfer (from natural gas producers to consumers) rather than a net gain in social welfare, and is therefore not a standard motivation for policy intervention on economic grounds. Reducing gas prices and thereby redistributing wealth may still be of importance in policy circles, however, and may be viewed in those circles as a positive ancillary effect of RE and EE deployment.

Wiser, Ryan; Bolinger, Mark; St. Clair, Matthew

2004-05-20T23:59:59.000Z

387

Representing Energy Price Variability in Long-and Medium-term Hydropower Optimization  

E-Print Network (OSTI)

literature focuses on electricity markets modeling and electricity price forecasting (Nogales et al., 2002. Contreras, A. J. Conejo, and R. Espínola. (2002). "Forecasting next-day electricity prices by time series capacity increases, some hydropower plants can provide base load instead. The use of an average energy

Lund, Jay R.

388

Table 7.2 Average Prices of Purchased Energy Sources, 2002  

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

2 Average Prices of Purchased Energy Sources, 2002;" 2 Average Prices of Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; " " Column: All Energy Sources Collected;" " Unit: U.S. Dollars per Million Btu." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected Wood and Other Biomass Components" ,,,,,,"Coal Components",,,"Coke",,,"Electricity Components",,,,,,,,,,,,,,"Natural Gas Components",,,"Steam Components" ,,,,,,,,,,,,,,"Total",,,,,,,,,,,,,,,,,,,,,,,"Wood Residues" " "," "," ",,,,,"Bituminous",,,,,,"Electricity","Diesel Fuel",,,,,,"Motor",,,,,,,"Natural Gas",,,"Steam",,,," ",,,"and","Wood-Related",," ",," "

389

Table 7.4 Average Prices of Selected Purchased Energy Sources, 2002  

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

4 Average Prices of Selected Purchased Energy Sources, 2002;" 4 Average Prices of Selected Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Physical Units." " ",," "," ",," "," " ,,"Residual","Distillate","Natural ","LPG and",,"RSE" "Economic","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","Row" "Characteristic(a)","(kWh)","(gallons)","(gallons)","(1000 cu ft)","(gallons)","(short tons)","Factors"

390

"Table E8.1. Average Prices of Selected Purchased Energy Sources, 1998;"  

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

1. Average Prices of Selected Purchased Energy Sources, 1998;" 1. Average Prices of Selected Purchased Energy Sources, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Physical Units." " ",," "," ",," "," " ,,"Residual","Distillate",,"LPG and",,"RSE" "Economic","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","Row" "Characteristic(a)","(kWh)","(gallons)","(gallons)","(1000 cu ft)","(gallons)","(short tons)","Factors"

391

"Table E8.2. Average Prices of Selected Purchased Energy Sources, 1998;"  

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

2. Average Prices of Selected Purchased Energy Sources, 1998;" 2. Average Prices of Selected Purchased Energy Sources, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Million Btu." " ",," "," ",," "," ","RSE" "Economic",,"Residual","Distillate",,"LPG and",,"Row" "Characteristic(a)","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","Factors" ,"Total United States"

392

Table 7.5 Average Prices of Selected Purchased Energy Sources, 2002  

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

5 Average Prices of Selected Purchased Energy Sources, 2002;" 5 Average Prices of Selected Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Million Btu." " ",," "," ",," "," ","RSE" "Economic",,"Residual","Distillate","Natural ","LPG and",,"Row" "Characteristic(a)","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","Factors" ,"Total United States"

393

Table N8.2. Average Prices of Purchased Energy Sources, 1998  

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

2. Average Prices of Purchased Energy Sources, 1998;" 2. Average Prices of Purchased Energy Sources, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: All Energy Sources Collected;" " Unit: U.S. Dollars per Million Btu." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected","Wood and Other","Biomass","Components" ,,,,,,,"Coal Components",,,"Coke",,"Electricity","Components",,,,,,,,,,,,,"Natural Gas","Components",,"Steam","Components" ,,,,,,,,,,,,,,"Total",,,,,,,,,,,,,,,,,,,,,,,"Wood Residues" " "," "," ",,,,,"Bituminous",,,,,,"Electricity","Diesel Fuel",,,,,,"Motor",,,,,,,"Natural Gas",,,"Steam",,,," ",,,"and","Wood-Related",," ",," "

394

Table 7.1 Average Prices of Purchased Energy Sources, 2002  

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

Average Prices of Purchased Energy Sources, 2002;" Average Prices of Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes;" " Column: All Energy Sources Collected;" " Unit: U.S. Dollars per Physical Units." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected Wood and Other Biomass Components" ,,,,,,"Coal Components",,,"Coke",,,"Electricity Components",,,,,,,,,,,,,,"Natural Gas Components",,,"Steam Components" ,,,,,,,,,,,,,,"Total",,,,,,,,,,,,,,,,,,,,,,,"Wood Residues" " "," "," ",,,,,"Bituminous",,,,,,"Electricity","Diesel Fuel",,,,,,"Motor",,,,,,,"Natural Gas",,,"Steam",,,," ",,,"and","Wood-Related",," ",," "

395

The projected impact of lower oil prices on US energy conservation  

Science Conference Proceedings (OSTI)

In view of conservation savings during a period of rising world oil prices (1972 to 1982), the dramatic drop in world oil prices in 1986 elicits the question: Do low world oil prices threaten the conservation savings that occurred during the previous decade. In order to test the potential loss in conservation from the drop in world oil prices in the target year 1995, two oil price scenarios were constructed: a case testing what would have occurred if oil prices remained at their 1984 level ($30/barrel in 1985 dollars), and one in which prices drop to and are maintained at $14/barrel (in 1985 dollars). This approach represents a boundary analysis, illustrating what could happen to conservation rather than predicting what will happen. By comparing projections of energy consumption under the two scenarios, the potential conservation loss from the drop in oil prices can be estimated: (1) potential conservation losses from lower world oil prices might be in the range of 9% in 1995; (2) only about one quarter of this conservation loss represents potential losses in energy efficiency; and (3) the remaining three quarters of the conservation losses result from behavioral changes and increased economic growth under lower prices. The answer to the question posed above is therefore yes; low oil prices do pose a threat to the conservation savings amassed during the past decade. But the threat is not as great as it could be 1-10% loss versus a 25% previous gain). This is because only a small part of the efficiency gains (about 2.5% out of 17%) would be lost. Most of the projected losses in conservation from low oil prices would be behavioral losses (almost all of the 8% past behavioral gain could be lost). 14 figs., 9 tabs.

Not Available

1988-01-01T23:59:59.000Z

396

Average regional end-use energy price projections to the year 2030  

Science Conference Proceedings (OSTI)

The energy prices shown in this report cover the period from 1991 through 2030. These prices reflect sector/fuel price projections from the Annual Energy Outlook 1991 (AEO) base case, developed using the Energy Information Administration's (EIA) Intermediate Future Forecasting System (IFFS) forecasting model. Projections through 2010 are AEO base case forecasts. Projections for the period from 2011 through 2030 were developed separately from the AEO for this report, and the basis for these projections is described in Chapter 3. Projections in this report include average energy prices for each of four Census Regions for the residential, commercial, industrial, and transportation end-use sectors. Energy sources include electricity, distillate fuel oil, liquefied petroleum gas, motor gasoline, residual fuel oil, natural gas, and steam coal. (VC)

Not Available

1991-01-01T23:59:59.000Z

397

Average regional end-use energy price projections to the year 2030  

SciTech Connect

The energy prices shown in this report cover the period from 1991 through 2030. These prices reflect sector/fuel price projections from the Annual Energy Outlook 1991 (AEO) base case, developed using the Energy Information Administration`s (EIA) Intermediate Future Forecasting System (IFFS) forecasting model. Projections through 2010 are AEO base case forecasts. Projections for the period from 2011 through 2030 were developed separately from the AEO for this report, and the basis for these projections is described in Chapter 3. Projections in this report include average energy prices for each of four Census Regions for the residential, commercial, industrial, and transportation end-use sectors. Energy sources include electricity, distillate fuel oil, liquefied petroleum gas, motor gasoline, residual fuel oil, natural gas, and steam coal. (VC)

Not Available

1991-12-31T23:59:59.000Z

398

International Energy Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 International Energy Module The NEMS International Energy Module (IEM) simulates the interaction between U.S. and global petroleum markets. It uses assumptions of economic growth and expectations of future U.S. and world crude-like liquids production and consumption to estimate the effects of changes in U.S. liquid fuels markets on the international petroleum market. For each year of the forecast, the NEMS IEM computes oil prices, provides a supply curve of world crude-like liquids, generates a worldwide oil supply- demand balance with regional detail, and computes quantities of crude oil and light and heavy petroleum products imported into the United States by export region. Changes in the oil price (WTI), which is defined as the price of light, low-sulfur crude oil delivered to Cushing, Oklahoma in

399

Energy Department Releases Updated eGallon Prices as Electric...  

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

a gallon of gasoline. "More and more Americans are taking advantage of the low and stable price of electricity as a transportation fuel, and that's very good news for our economy...

400

Spot Distillate & Crude Oil Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

WTI crude oil price rose about $17 per barrel or 40 cents per gallon from its low point in mid ... New York Harbor spot heating oil had risen about 42 cents ...

Note: This page contains sample records for the topic "nems energy price" 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

Refiner Retail Price of Kerosene - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

History; U.S. 3.836: 3.786: 3.634: 3.840: 3.707: ... Alabama-----1984-2013: Arkansas----- ... Retail prices and Prime Supplier sales values shown for ...

402

Effect of Energy Efficiency Standards on Natural Gas Prices  

E-Print Network (OSTI)

of Conservation on the Natural Gas Price,? memo to RichardTheroux, OMB. EIA 2009a. Natural Gas Year in Review (2009),at. http://www.eia.gov/pub/oil_gas/natural_gas/feature_

Carnall, Michael

2012-01-01T23:59:59.000Z

403

Availability and Price of Non-Iranian Petroleum - Energy ...  

U.S. Energy Information Administration (EIA)

The Availability and Price of Petroleum and Petroleum Products Produced in Countries Other Than Iran. Release date: October 31, 2013 Next release date: December 2013

404

Factors Driving Prices & Forecast - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

The rest of the talk will discuss how we got where we are today and what we expect this winter. I will focus on two drivers behind prices: the crude ...

405

Essays on the macroeconomic effects of energy price shocks.  

E-Print Network (OSTI)

??In the first chapter I study the effects of oil price shocks on economic activity at the U.S. state-level, an innovative feature of this dissertation.… (more)

Melichar, Mark Alan

2013-01-01T23:59:59.000Z

406

State energy fuel prices by major economic sector from 1960 through 1977  

SciTech Connect

The state energy fuel prices are described and displayed by major economic sector for 1960 to 1977. These prices support the Regional Energy Demand Model. The 7 major fuel commodities in the Price Data System fall into two groups: petroleum products (distillate, residual, kerosene, gasoline, and liquid petroleum gas) and non-petroleum product fuels (electric power and natural gas). The methodology for calculating each commodity is shown. A detailed description of the wholesale and retail price methodology is presented. Appendices A and B display the price series in calorific and physical units, respectively. Some data-supporting tables are presented in Appendix C and Appendix D describes the fuel identifiers for decoding information in Appendices A and B.

Galliker, J.P.

1979-07-01T23:59:59.000Z

407

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S. ?  

E-Print Network (OSTI)

This paper presents an empirical analysis of the relationship between energy factor markets, leasing structures and the transaction prices of office buildings in the U.S. We employ a large sample of 15,133 office building transactions that occurred between 2001 and 2010. In addition to building characteristics, we also include information on the operating expenses, the net operating income, and the market capitalization rates at sale to estimate an asset pricing model for commercial office real estate assets. A further set of important controls in our analysis is the one-to-twelve month forward contract prices and the shape of the forward contract price curve, using auction data for the regional electricity trading hubs in which the building is located and auction data from the Henry Hub for natural gas. We also include weather metrics in the form of the variance in the last twelve months of minimum and maximum temperature and precipitation for each building’s location and sale date. Our final set of controls includes information on the dominant contractual leasing structure of the buildings. Our empirical results suggest that Energy Star labels do not explain additional variance in property prices once the key asset pricing factors of expenses, income and market capitalization rates are included. Energy factor market prices, the shape of the energy forward price curves, and weather metrics are consistently shown to be statistically significant determinants of office building transaction prices, suggesting that commercial office building prices are likely to be exposed to shocks in these markets.

Dwight Jaffee; Richard Stanton; Nancy Wallace

2011-01-01T23:59:59.000Z

408

Factors that affect the share price index of Taiwan's solar energy industry¡Ðthe crude oil prices and industry scale.  

E-Print Network (OSTI)

??This paper discusses the factors that affect the share price index of Taiwan solar power industry, crude oil prices and the size of the solar… (more)

Deng, Yu-chi

2012-01-01T23:59:59.000Z

409

New Study Finds that the Price of Wind Energy in the United States...  

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

New Study Finds that the Price of Wind Energy in the United States Is Near an All-Time Low NOTICE Due to the current lapse of federal funding, Berkeley Lab websites are accessible,...

410

Modifications To Incorporate Competitive Electricity Prices In The Annual Energy Outlook 1998  

Reports and Publications (EIA)

The purpose of this report is to describe modifications to the Electricity Market Module (EMM) for the Annual Energy Outlook 1998. It describes revisions necessary to derive competitive electricity prices and the corresponding reserve margins.

Information Center

1998-02-01T23:59:59.000Z

411

Energy Price Indices and Discount Factors for Life-Cycle Cost...  

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

NISTIR 85-3273-28 Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2013 Annual Supplement to NIST Handbook 135 and NBS Special Publication 709 Amy S....

412

Energy Price Indices and Discount Factors for Life-Cycle Cost...  

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

7 Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2012 Annual Supplement to NIST Handbook 135 and NBS Special Publication 709 Amy S. Rushing Joshua D....

413

Energy Price Indices and Discount Factors for Life-Cycle Cost...  

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

5 (Rev. 510) Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2010 Annual Supplement to Amy S. Rushing NIST Handbook 135 and Joshua D. Kneifel NBS Special...

414

Effects of the Uncertainty about Global Economic Recovery on Energy Transition and CO2 Price  

E-Print Network (OSTI)

This paper examines the impact that uncertainty over economic growth may have on global energy transition and CO2 prices. We use a general-equilibrium model derived from MERGE, and define several stochastic scenarios for ...

Durand-Lasserve, Olivier

415

Seasonal Energy Storage Operations with Limited Flexibility: The Price-Adjusted Rolling Intrinsic Policy  

Science Conference Proceedings (OSTI)

The value of seasonal energy storage depends on how the firm operates storage to capture seasonal price spreads. Energy storage operations typically face limited operational flexibility characterized by the speed of storing and releasing energy, which ... Keywords: OM practice, energy storage operations, natural gas industry, real options

Owen Q. Wu; Derek D. Wang; Zhenwei Qin

2012-07-01T23:59:59.000Z

416

Stephanie Price  

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

Stephanie Price is a communicator at the National Renewable Energy Laboratory, which assists EERE in providing technical content for many of its websites.

417

Snuller Price  

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

Snuller Price Energy and Environmental Economics NOTICE Due to the current lapse of federal funding, Berkeley Lab websites are accessible, but may not be updated until Congress...

418

Changes in energy markets reduce regional effects of energy price movements  

Science Conference Proceedings (OSTI)

Changes in energy prices are having more equal effects on the residents of different regions than previously as consumption patterns adjust to natural gas deregulation and higher energy costs. Regions with a higher proportion of energy use, such as New England, have dropped their per capita consumption rates and have changed their mix of fuels. The extent of fuel switching becomes more apparent if electricity consumption is apportioned to the fuel used to generate power. Comparisons between the New England, East North Central, and West North Central regions show a decline in oil consumption for each and an increase in electricity use. 2 figures.

Schmidt, R.H.; Dunstan, R.H.

1985-04-01T23:59:59.000Z

419

"Table A25. Average Prices of Selected Purchased Energy Sources by Census"  

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

. Average Prices of Selected Purchased Energy Sources by Census" . Average Prices of Selected Purchased Energy Sources by Census" " Region, Industry Group, and Selected Industries, 1991: Part 1" " (Estimates in Dollars per Physical Unit)" ,,,,," " " "," "," ","Residual","Distillate","Natural Gas(c)"," "," ","RSE" "SIC"," ","Electricity","Fuel Oil","Fuel Oil(b)","(1000","LPG","Coal","Row" "Code(a)","Industry Groups and Industry","(kWh)","(gallon)","(gallon)","cu ft)","(gallon)","(short ton)","Factors"

420

Gasoline Prices  

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

Gasoline Prices Gasoline Price Data Sign showing gasoline prices Local Prices: Find the cheapest gasoline prices in your area. State & Metro Area Prices: Average prices from AAA's...

Note: This page contains sample records for the topic "nems energy price" 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

Lynn Price  

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

Lynn Price Lynn Price China Energy Group Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R2002 Berkeley CA 94720 Office Location: 90-2108 (510) 486-6519 LKPrice@lbl.gov Lynn Price is a Staff Scientist and Leader of the China Energy Group of the Energy Analysis and Environmental Impacts Department, Environmental Energy Technologies Division, of Lawrence Berkeley National Laboratory. Ms. Price has a MS in Environmental Science from the University of Wisconsin-Madison and has worked at LBNL since 1990. Ms. Price has been a member of the Intergovernmental Panel on Climate Change, which won the Nobel Peace Prize in 2007, since 1994 and was an author on the industrial sector chapter of IPCC's Fourth Assessment Report on Mitigation of Climate Change. Since 1999, Ms. Price has provided technical assistance to the Energy

422

Multi-Path Transportation Futures Study: Vehicle Characterization and Scenario Analyses - Appendix E: Other NEMS-MP Results for the Base Case and Scenarios  

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

Appendix E: Other NEMS-MP Results Appendix E: Other NEMS-MP Results for the Base Case and Scenarios Energy Systems Division Availability of This Report This report is available, at no cost, at http://www.osti.gov/bridge. It is also available on paper to the U.S. Department of Energy and its contractors, for a processing fee, from: U.S. Department of Energy Office of Scientific and Technical Information P.O. Box 62

423

The Facts on Gas Prices: Infographic | Department of Energy  

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

The Facts on Gas Prices: Infographic The Facts on Gas Prices: Infographic The Facts on Gas Prices: Infographic March 13, 2012 - 4:19pm Addthis Domestic oil production has climbed every year since President Obama took office, and our dependence on foreign oil is at its lowest level since the 1990s. | Graphic courtesy of the White House Domestic oil production has climbed every year since President Obama took office, and our dependence on foreign oil is at its lowest level since the 1990s. | Graphic courtesy of the White House Matt Compton Deputy Director of Online Content for the Office of Digital Strategy at the White House. This article is cross posted from the White House. Here are the facts: The United States produced more than 2 billion barrels

424

The Facts on Gas Prices: Infographic | Department of Energy  

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

The Facts on Gas Prices: Infographic The Facts on Gas Prices: Infographic The Facts on Gas Prices: Infographic March 13, 2012 - 4:19pm Addthis Domestic oil production has climbed every year since President Obama took office, and our dependence on foreign oil is at its lowest level since the 1990s. | Graphic courtesy of the White House Domestic oil production has climbed every year since President Obama took office, and our dependence on foreign oil is at its lowest level since the 1990s. | Graphic courtesy of the White House Matt Compton Deputy Director of Online Content for the Office of Digital Strategy at the White House. This article is cross posted from the White House. Here are the facts: The United States produced more than 2 billion barrels

425

Public comment re Price Anderson Act extension | Department of Energy  

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

Public comment re Price Anderson Act extension Public comment re Price Anderson Act extension Public comment re Price Anderson Act extension Recently I learned of interpretations of the University's comments submitted on January 30, 1998, that I think bear some clarification. One of our comments suggested an alternative for DOE if the civil fine exemption were to be eliminated. That comment was not an endorsement for eliminating the exemption; rather it is a means for partially mitigating the adverse consequences to the production of science were the exemption eliminated. The University has never believed that the risk of financial incentives or penalties is the most appropriate means of motivating non-profit organizations to either perform better or avoid inappropriate actions. Consequently we do not embrace the imposition of criminal or civil fines

426

Energy Prices, Tariffs, Taxes and Subsidies in Ukraine  

Science Conference Proceedings (OSTI)

For many years, electricity, gas and district heating tariffs for residential consumers were very low in Ukraine; until recently, they were even lower than in neighbouring countries such as Russia. The increases in gas and electricity tariffs, implemented in 2006, are an important step toward sustainable pricing levels; however, electricity and natural gas (especially for households) are still priced below the long-run marginal cost. The problem seems even more serious in district heating and nuclear power. According to the Ministry of Construction, district heating tariffs, on average, cover about 80% of costs. Current electricity prices do not fully include the capital costs of power stations, which are particularly high for nuclear power. Although the tariff for nuclear electricity generation includes a small decommissioning charge, it has not been sufficient to accumulate necessary funds for nuclear plants decommissioning.

Evans, Meredydd

2007-04-01T23:59:59.000Z

427

RWP 09-06Time Variation in the Inflation Passthrough of Energy Prices  

E-Print Network (OSTI)

From Bayesian estimates of a vector autoregression (VAR) which allows for both coefficient drift and stochastic volatility, we obtain the following three results. First, beginning in approximately 1975, the responsiveness of core inflation to changes in energy prices in the United States fell rapidly and remains muted. Second, this decline in the passthrough of energy inflation to core prices has been sustained through a recent period of markedly higher volatility of shocks to energy inflation. Finally, reduced energy inflation passthrough has persisted in the face of monetary policy which quickly became less responsive to energy inflation starting around 1985.

Todd E. Clark; Stephen J. Terry; Todd E. Clark; Stephen J. Terry

2009-01-01T23:59:59.000Z

428

Energy Factors, Leasing Structure and the Market Price of Office Buildings  

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

Energy Factors, Leasing Structure and the Market Price of Office Buildings Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S. Speaker(s): Nancy Wallace Date: June 15, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Paul Mathew The talk will cover the results from an empirical paper that analyzes the relationship between energy factor markets, leasing structures and the transaction prices of office buildings in the {U.S.} We employ a large sample of 15,133 office building transactions that occurred between 2001 and 2010. In addition to building characteristics, we also include information on the operating expenses, the net operating income, and the market capitalization rates at sale to estimate an asset pricing model for commercial office real estate assets. A further set of important controls

429

Annual energy outlook 2005 with projections to 2025  

Science Conference Proceedings (OSTI)

The Annual Energy Outlook 2005 (AEO2005) presents midterm forecasts of energy supply, demand, and prices through 2025 prepared by the Energy Information Administration (EIA). The projections are based on results from EIA's National Energy Modelling System (NEMS). The report begins with an 'Overview' summarizing the AEO2005 reference case. The next section, 'Legislation and Regulations', discusses evolving legislative and regulatory issues in the USA. Issues in Focus includes discussions on key energy market issues and examines their potential impacts. In particular, it includes a discussion of the world oil price assumptions used in the reference case and four alternative world oil price cases examined in AEO2005. 'Issues in Focus' is followed by 'Market Trends', which provides a summary of energy market trends in the AEO2005 forecast. The analysis in AEO2005 focuses primarily on a reference case, lower and higher economic growth cases, and four alternative oil price cases, a low world oil price case, an October oil futures case, and two high world oil price cases. Forecast tables for those cases are provided in Appendixes A through D. The major results for the alterative cases, which explore the impacts of varying key assumption in NEMS (such as rates of technology penetration), are summarized in Appendix E. Appendix F briefly describes NEMS and the alternative cases. 115 figs., 38 tabs., 8 apps.

NONE

2005-02-01T23:59:59.000Z

430

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Intensity ; Conversions ; Population ; Coal Prices ; Electricity Prices ; Petroleum Prices ; Natural Gas Prices ; Heat Content; Country;

431

The National Energy Modeling System: An Overview 2000 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic assessment at EIA involves several modes of analysis. The first type of analysis, used in forecasting the Annual Energy Outlook where energy prices change, uses kernel regression and response surface techniques to mimic the response of larger macroeconomic and industrial models. This mode of analysis requires a given economic baseline and then calculates the economic impacts of changing energy prices, calculated from the chosen growth path. The economic growth cases are derived from the larger core models and can reflect either high, low, or reference case growth assumptions. Analyzing economic impacts from energy price changes uses the macroeconomic activity module (MAM) within NEMS and provides a subset of the macroeconomic variables available in the larger core models. The composition of the subset is determined by the other energy modules in NEMS, as they use various macroeconomic concepts as assumptions to their particular energy model.

432

Model documentation: Electricity market module, electricity finance and pricing submodule  

SciTech Connect

The purpose of this report is to define the objectives of the model, describe its basic approach, and provide detail on how it works. The EFP is a regulatory accounting model that projects electricity prices. The model first solves for revenue requirements by building up a rate base, calculating a return on rate base, and adding the allowed expenses. Average revenues (prices) are calculated based on assumptions regarding regulator lag and customer cost allocation methods. The model then solves for the internal cash flow and analyzes the need for external financing to meet necessary capital expenditures. Finally, the EFP builds up the financial statements. The EFP is used in conjunction with the National Energy Modeling System (NEMS). Inputs to the EFP include the forecast generating capacity expansion plans, operating costs, regulator environment, and financial data. The outputs include forecasts of income statements, balance sheets, revenue requirements, and electricity prices.

1994-04-07T23:59:59.000Z

433

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

434

Forecasting Fuel Price Behavior for Energy Risk Management  

Science Conference Proceedings (OSTI)

This report provides an overview of the drivers of fuel price disruptionsparticularly gas pricingover a period of several decades. It drills down more deeply on very recent causes of disruptions for example, shales as a new source of gas and offers a spectrum of likely future disruptions.

2009-12-23T23:59:59.000Z

435

The Influence of a CO2 Pricing Scheme on Distributed Energy Resources in California's Commercial Buildings  

E-Print Network (OSTI)

energy loads, 10 detailed electricity and natural gas tariffs,energy) and 2.83 (demand charge); • electric peak load 200 kW – 499 kW: tarifftariff has a fixed charge plus time-of-use (TOU) pricing for both energy and

Stadler, Michael

2010-01-01T23:59:59.000Z

436

Development and Demonstration of Energy Management Control Strategies for Automated Real-Time Pricing  

Science Conference Proceedings (OSTI)

Electric loads in commercial buildings can be automatically shifted or shed in response to variable energy prices, resulting in big cost savings for building owners and substantial load-reduction benefits for the energy company supplying the building. This project demonstrated the magnitude of savings possible with such an energy management system.

1998-11-23T23:59:59.000Z

437

Energy Demand: Limits on the Response to Higher Energy Prices in the End-Use Sectors (released in AEO2007)  

Reports and Publications (EIA)

Energy consumption in the end-use demand sectorsresidential, commercial, industrial, and transportationgenerally shows only limited change when energy prices increase. Several factors that limit the sensitivity of end-use energy demand to price signals are common across the end-use sectors. For example, because energy generally is consumed in long-lived capital equipment, short-run consumer responses to changes in energy prices are limited to reductions in the use of energy services or, in a few cases, fuel switching; and because energy services affect such critical lifestyle areas as personal comfort, medical services, and travel, end-use consumers often are willing to absorb price increases rather than cut back on energy use, especially when they are uncertain whether price increases will be long-lasting. Manufacturers, on the other hand, often are able to pass along higher energy costs, especially in cases where energy inputs are a relatively minor component of production costs. In economic terms, short-run energy demand typically is inelastic, and long-run energy demand is less inelastic or moderately elastic at best.

Information Center

2007-03-11T23:59:59.000Z

438

An Analysis of the Effects of Residential Photovoltaic Energy Systems on Home Sales Prices in California  

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

Energy Markets and Policy Group * Energy Analysis Department Energy Markets and Policy Group * Energy Analysis Department An Analysis of the Effects of Residential Photovoltaic Energy Systems on Home Sales Prices in California Ben Hoen, Peter Cappers, Mark Thayer, Ryan Wiser Lawrence Berkeley National Laboratory LBNL Webinar June 9 th , 2011 This work was supported by the Office of Energy Efficiency and Renewable Energy (Solar Energy Technologies Program) of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231, by the National Renewable Energy Laboratory under Contract No. DEK-8883050, and by the Clean Energy States Alliance.

439

Putting downward pressure on natural gas prices: The impact of renewable energy and energy efficiency  

E-Print Network (OSTI)

forecasts of U.S. coal minemouth prices and total U.S. coalInverse Price Elasticities for Gas, Coal, and implicitdisplace coal over time, muting the impact on gas prices. As

Wiser, Ryan; Bolinger, Mark; St. Clair, Matthew

2004-01-01T23:59:59.000Z

440

Can Deployment of Renewable Energy and Energy Efficiency Put Downward Pressure on Natural Gas Prices  

E-Print Network (OSTI)

RE and EE may also put downward pressure on coal prices, theelasticity of coal prices to altered demand conditions isthe impact of RE and EE on coal prices is probably modest

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

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


441

NREL: Power Technologies Energy Data Book - Chapter 9. Prices  

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

Databook Home More Search Options Search Site Map Featured Links Biomass Energy Data Book Buildings Energy Data Book Hydrogen Energy Data Book Transportation Energy Data Book...

442

Are the Responses of the U.S. Economy Asymmetric in Energy Price Increases and Decreases?  

E-Print Network (OSTI)

Abstract: How much does real GDP respond to unanticipated changes in the real price of oil? Commonly used censored VAR models suggest a substantial decline in real GDP in response to unexpected increases in the real price of oil, yet no response to unexpected declines. We show that these estimates are invalid. Based on a structural model that encompasses both symmetric and asymmetric models as special cases, correctly computed impulse responses are of roughly the same magnitude in either direction, consistent with formal tests for symmetric responses. We discuss implications for theoretical models and for policy responses to energy price shocks.

Lutz Kilian; Robert J. Vigfusson

2009-01-01T23:59:59.000Z

443

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

Energy and Demand Prices . . . . . . . . . . . . . . . . . . . . . .US DOE 1999. Marginal Energy Prices Report U.S. Departmentmarginal price Marginal energy price in cper kwh Marginal

Coughlin, Katie M.; Bolduc, Chris A.; Rosenquist, Greg J.; Van Buskirk, Robert D.; McMahon, James E.

2008-01-01T23:59:59.000Z

444

DOE Cites Battelle Energy Alliance, LLC for Price-Anderson Violations |  

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

Cites Battelle Energy Alliance, LLC for Price-Anderson Cites Battelle Energy Alliance, LLC for Price-Anderson Violations DOE Cites Battelle Energy Alliance, LLC for Price-Anderson Violations December 3, 2007 - 4:44pm Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) today notified Battelle Energy Alliance, LLC (BEA) that it will fine the company $123,750 for violations of the Department's nuclear safety requirements. BEA is the DOE Idaho Operations Office prime contractor for the operation of the Neutron Radiography (NRAD) reactor. The Neutron Radiography Reactor is used to non-destructively examine irradiated materials; the imaging technique utilizes thermal neutrons and is used for quality control purposes in industries which require precision machining. The Preliminary Notice of Violation (PNOV) issued today cited a series of

445

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Carbon Intensity ; Energy Intensity ; Conversions ; Population ; Coal Prices ; Electricity Prices ; Petroleum Prices ; Natural Gas Prices ; Heat ...

446

Static Equilibrium: Forecasting Long-Term Energy Prices  

Science Conference Proceedings (OSTI)

This report describes a static equilibrium model that can be used by power companies to analyze retirement and investment decisions. Given deterministic expectations of prices, technology alternatives, and growth rates, the model defines a long-term equilibrium for an electricity market that can be used as a practical starting point for analyzing dynamic equilibrium, the distribution of outcomes associated with investment and retirement in a probabilistic world. The report includes a spreadsheet that ca...

2005-09-21T23:59:59.000Z

447

Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Outlook Outlook 2010 Restrospective Review July 2011 www.eia.gov U.S. Depa rtment of Energy W ashington, DC 20585 This page inTenTionally lefT blank 3 U.S. Energy Information Administration | Annual Energy Outlook Retrospective Review While the integrated nature of NEMS may result in some feedback that slightly modifies the initial assumptions about world oil price and the macroeconomic growth environment, these feedbacks tend to be relatively small, so that the initial assumptions for world oil price and the macroeconomic growth environment largely determine the overall projection environ- ment. To the extent that this general environment deviates from the initial assumptions, the NEMS projection results will also deviate. Table 2 provides a summary of the percentage of years in

448

Renewable Energy RFPs: Solicitation Response and Wind Contract Prices  

E-Print Network (OSTI)

Power Contract Costs Renewable energy contract costs are notfor recent renewable energy contracts costs in markets withrenewable energy solicitations; and 2. Wind power purchase costs

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

449

Wholesale electricity prices spike in Texas - Today in Energy ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... timely articles with graphics on energy, facts, issues, and trends. FAQs ... based on SNL Energy. Notes: Day-ahead, on-peak ...

450

Renewable Energy RFPs: Solicitation Response and Wind Contract Prices  

E-Print Network (OSTI)

FROM: SUBJECT: Illinois Renewable Energy Policy StakeholdersNational Laboratory Renewable Energy RFPs: SolicitationAs input into renewable energy policy discussions in

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

451

EIA - The National Energy Modeling System: An Overview 2003  

Gasoline and Diesel Fuel Update (EIA)

The National Energy Modeling System: An Overview 2003 This report provides a summary description of the NEMS which was used to generate the projections of energy production, demand, imports, and prices through the year 2025 for the Annual Energy Outlook 2003. Preface Introduction Overview of NEMS Carbon Dioxide and Methane Emissions Macroeconomic Activity Module International Energy Module Residential Demand Module Commercial Demand Module Industrial Demand Module Transportation Demand Module Electricity Market Module Renewable Fuels Module Oil and Gas Supply Module Natural Gas Transmission and Distribution Module Petroleum Market Module Coal Market Module Bibliography Download the Report NEMS: An Overview 2003 Cover. Need help, contact the National Energy Information Center at 202-586-8800.

452

Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis- 2012  

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

Report provides tables of present-value factors for use in the life-cycle cost analysis of capital investment projects for federal facilities. It also provides energy price indices based on the U.S. Department of Energy (DOE) forecasts from 2012 to 2042.

453

Model documentation, Coal Market Module of the National Energy Modeling System  

Science Conference Proceedings (OSTI)

This report documents the objectives and the conceptual and methodological approach used in the development of the National Energy Modeling System`s (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 1998 (AEO98). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM`s two submodules. These are the Coal Production Submodule (CPS) and the Coal Distribution Submodule (CDS). CMM provides annual forecasts of prices, production, and consumption of coal for NEMS. In general, the CDS integrates the supply inputs from the CPS to satisfy demands for coal from exogenous demand models. The international area of the CDS forecasts annual world coal trade flows from major supply to major demand regions and provides annual forecasts of US coal exports for input to NEMS. Specifically, the CDS receives minemouth prices produced by the CPS, demand and other exogenous inputs from other NEMS components, and provides delivered coal prices and quantities to the NEMS economic sectors and regions.

NONE

1998-01-01T23:59:59.000Z

454

The Potential of Energy Management and Control Systems for Real-Time Electricity Pricing Programs  

E-Print Network (OSTI)

In implementing an integrated electric utility network, direct communication between the utility and customers is an important component. The rapid penetration of computer building control technology in larger commercial and industrial customers provides an opportunity for the utility to implement this network by linking directly with equipment already in place: customer-owned energy management and control systems (EMCS). This paper assesses the potential use of EMCSs in utility real-time pricing (RTP) efforts by discussing the procedures and technical requirements for transferring prices to the EMCS. The perspectives and objectives of the customer and the utility will also be discussed. We will discuss how price information can be used by the customer and the EMCS to implement demand-limiting strategies, both in currently available demand-management algorithms, and in potential price-responsive cost-management algorithms.

Akbari, H.; Heinemeier, K. E.

1990-01-01T23:59:59.000Z

455

Session 4: "Short-Term Energy Prices - What Drivers Matter Most?"  

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

4: "Short-Term Energy Prices - What Drivers Matter Most?" 4: "Short-Term Energy Prices - What Drivers Matter Most?" Speakers: Howard K. Gruenspecht, EIA David M. Arseneau, Federal Reserve Board Guy F. Caruso, Center for Strategic and International Studies Christopher Ellsworth, Federal Energy Regulatory Commission Edward L. Morse, Credit Suisse Securities [Note: Recorders did not pick up introduction of panel (see biographies for details on the panelists) or introduction of session.] Howard: And this presentation could not be more timely, given current developments in oil and natural gas markets and the start of the traditional summer driving season. In discussions of rapidly rising oil prices leading to a peak of $147 per barrel in the summer of 2008, the factors that were traditionally the focus of EIA's

456

DOE Cites Battelle Energy Alliance, LLC for Price-Anderson Violations |  

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

Price-Anderson Price-Anderson Violations DOE Cites Battelle Energy Alliance, LLC for Price-Anderson Violations December 3, 2007 - 4:44pm Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) today notified Battelle Energy Alliance, LLC (BEA) that it will fine the company $123,750 for violations of the Department's nuclear safety requirements. BEA is the DOE Idaho Operations Office prime contractor for the operation of the Neutron Radiography (NRAD) reactor. The Neutron Radiography Reactor is used to non-destructively examine irradiated materials; the imaging technique utilizes thermal neutrons and is used for quality control purposes in industries which require precision machining. The Preliminary Notice of Violation (PNOV) issued today cited a series of violations that occurred on August 20, 2006 during the restart and

457

Regional Differences in the Price-Elasticity of Demand for Energy  

DOE Green Energy (OSTI)

At the request of the National Renewable Energy Laboratory (NREL), the RAND Corporation examined the relationship between energy demand and energy prices with the focus on whether the relationships between demand and price differ if these are examined at different levels of data resolution. In this case, RAND compares national, regional, state, and electric utility levels of data resolution. This study is intended as a first step in helping NREL understand the impact that spatial disaggregation of data can have on estimating the impacts of their programs. This report should be useful to analysts in NREL and other national laboratories, as well as to policy nationals at the national level. It may help them understand the complex relationships between demand and price and how these might vary across different locations in the United States.

Bernstein, M. A.; Griffin, J.

2006-02-01T23:59:59.000Z

458

Renewable Energy RFPs: Solicitation Response and Wind Contract Prices  

E-Print Network (OSTI)

solicitations in the Midwest (Xcel, Great River Energy, andRE RE RE RE RE RE Utility Xcel (MN) Great River Energy MG&E/Electric Puget Sound Energy Xcel/PSCo NorthWestern NCPA (CA)

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

459

Renewable Energy RFPs: Solicitation Response and Wind Contract Prices  

E-Print Network (OSTI)

requirements. Wind Power Contract Costs Renewable energyCost of Energy (2003 ¢/kWh) Levelized Cost of Energy (2003 ¢/kWh) Windenergy solicitations; and 2. Wind power purchase costs as

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

460

"Table A25 Average Prices of Selected Purchased Energy Sources by Census"  

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

Average Prices of Selected Purchased Energy Sources by Census" Average Prices of Selected Purchased Energy Sources by Census" " Region, Industry Group, and Selected Industries, 1991: Part 2" " (Estimates in Dollars per Million Btu)" ,,,,,,,,"RSE" "SIC"," "," ","Residual","Distillate"," "," "," ","Row" "Code(a)","Industry Groups and Industry","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","LPG","Coal","Factors" ,,"Total United States" ,"RSE Column Factors:",0.7,0.8,1,2.8,1,0.7 20,"Food and Kindred Products",15.789,2.854,6.064,2.697,7.596,1.433,4.5

Note: This page contains sample records for the topic "nems energy price" 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

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Carbon Intensity ; Energy Intensity ; Conversions ; Population ; Coal Prices ; Electricity Prices ; Petroleum Prices ; Natural Gas Prices ; Heat ...

462

Prices & Trends  

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

The U.S. Energy Information Administration (EIA) collects, analyzes, and disseminates independent and impartial energy information to promote sound policymaking, efficient markets, and public understanding of energy and its interaction with the economy and the environment. Learn about EIA and Energy Department organizations that track energy prices and trends.

463

Putting downward pressure on natural gas prices: The impact of renewable energy and energy efficiency  

E-Print Network (OSTI)

or our findings. Natural Gas Supply and Demand: A Review ofThe price elasticity of natural gas supply is a measurethe responsiveness of natural gas supply to the price of the

Wiser, Ryan; Bolinger, Mark; St. Clair, Matthew

2004-01-01T23:59:59.000Z

464

Can Deployment of Renewable Energy and Energy Efficiency Put Downward Pressure on Natural Gas Prices  

E-Print Network (OSTI)

with the price of natural gas (e.g. , coal or nuclear power,coal- to gas-fired generation. It is worthy of note that natural gas prices

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

465

Can Deployment of Renewable Energy and Energy Efficiency Put Downward Pressure on Natural Gas Prices  

E-Print Network (OSTI)

a reduction in U.S. natural gas consumption, ranging fromhigh gas demand on U.S. natural gas consumption and price inU.S. wellhead price of natural gas and total gas consumption

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

466

Can Deployment of Renewable Energy and Energy Efficiency Put Downward Pressure on Natural Gas Prices  

E-Print Network (OSTI)

1% reduction in U.S. natural gas demand could lead to long-and EE deployment on natural gas demand and wellhead prices,from a reduction in natural gas demand and prices. Supply

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

467

Effect of oil prices on returns to alternative energy investments .  

E-Print Network (OSTI)

??This paper presents the role of alternative energy technologies in displacing fossil fuels as the world's primary energy source. To that end, a CAPM-GARCH multi-factor… (more)

Schmitz, Anthony

2009-01-01T23:59:59.000Z

468

Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2011  

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

April 2005 April 2005 NISTIR 85-3273-26 (Rev. 9/11) Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2011 Annual Supplement to Amy S. Rushing NIST Handbook 135 and Joshua D. Kneifel NBS Special Publication 709 Barbara C. Lippiatt U.S. DEPARTMENT OF COMMERCE Technology Administration National Institute of Standards and Technology Prepared for United States Department of Energy Federal Energy Management Program September 2011 NISTIR 85-3273-26 ENERGY PRICE INDICES AND DISCOUNT FACTORS FOR LIFE-CYCLE COST ANALYSIS Annual Supplement to NIST Handbook 135 and NBS Special Publication 709 April 1, 2011 to March 31, 2012 Data for the Federal Methodology for Life-Cycle Cost Analysis, Title 10, CFR, Part 436, Subpart A; and for the Energy Conservation Mandatory Performance Standards for New Federal Residential Buildings,

469

Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2010  

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

5 5 (Rev. 5/10) Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2010 Annual Supplement to Amy S. Rushing NIST Handbook 135 and Joshua D. Kneifel NBS Special Publication 709 Barbara C. Lippiatt U.S. DEPARTMENT OF COMMERCE Technology Administration National Institute of Standards and Technology Prepared for United States Department of Energy Federal Energy Management Program April 2005 May 2010 ENERGY PRICE INDICES AND DISCOUNT FACTORS FOR LIFE-CYCLE COST ANALYSIS Annual Supplement to NIST Handbook 135 and NBS Special Publication 709 April 1, 2010 to March 31, 2011 Data for the Federal Methodology for Life-Cycle Cost Analysis, Title 10, CFR, Part 436, Subpart A; and for the Energy Conservation Mandatory Performance Standards for New Federal Residential Buildings,

470

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.  

E-Print Network (OSTI)

Yes prices per square foot indicating that the cost effectper square foot and more variance in precipitation has a statistically significant positive effect on operating costsper square foot of office buildings that sold in arm-length-transactions between 2001 and 2010 on energy costs,

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

471

Automakers' Short-Run Responses to Changing Gasoline Prices and the Implications for Energy Policy  

E-Print Network (OSTI)

Automakers' Short-Run Responses to Changing Gasoline Prices and the Implications for Energy Policy Policy, 735 S. State St. #5224, Ann Arbor, MI 48109. Miller: Economic Analysis Group, U.S. Department of intervention, the market is likely to produce efficient outcomes.1 We examine the empirical relationship

Edwards, Paul N.

472

Forecasting next-day price of electricity in the Spanish energy market using artificial neural networks  

Science Conference Proceedings (OSTI)

In this paper, next-day hourly forecasts are calculated for the energy price in the electricity production market of Spain. The methodology used to achieve these forecasts is based on artificial neural networks, which have been used successfully in recent ... Keywords: ART network, Backpropagation network, Box-Jenkins, Electricity market, Neural networks, Time series forecasting

Raúl Pino; José Parreno; Alberto Gomez; Paolo Priore

2008-02-01T23:59:59.000Z

473

The Influence of a CO2 Pricing Scheme on Distributed Energy Resources in  

E-Print Network (OSTI)

pricing scheme or a feed-in tariff (FiT), and show their contributions to the California Air Resources Program, under Work for Others Contract No. 500-07-043, 500-99-013 and by the U.S. Department of Energy tariffs of major utilities, and expected performance data of available technologies in 2020, we find

474

Thermal Energy Storage Systems Operation and Control Strategies Under Real Time Pricing  

Science Conference Proceedings (OSTI)

This report describes a methodology that was developed for evaluation of operation and control strategies for thermal energy storage (TES) systems under emerging real-time price (RTP) rate structures. The methodology was demonstrated on a prototype office building in two southeastern United States climates.

2004-06-14T23:59:59.000Z

475

August ENERGY EFFICIENCY POLICY AND CARBON PRICING INFORMATION PAPER  

E-Print Network (OSTI)

Its primary mandate was – and is – two-fold: to promote energy security amongst its member countries through collective response to physical disruptions in oil supply, and provide authoritative research and analysis on ways to ensure reliable, affordable and clean energy for its 28 member countries and beyond. The IEA carries out a comprehensive programme of energy co-operation among its member countries, each of which is obliged to hold oil stocks equivalent to 90 days of its net imports. The Agency’s aims include the following objectives: n Secure member countries ’ access to reliable and ample supplies of all forms of energy; in particular, through maintaining effective emergency response capabilities in case of oil supply disruptions. n Promote sustainable energy policies that spur economic growth and environmental protection in a global context – particularly in terms of reducing greenhouse-gas emissions that contribute to climate change. n Improve transparency of international markets through collection and analysis of energy data. n Support global collaboration on energy technology to secure future energy supplies and mitigate their environmental impact, including through improved energy efficiency and development and deployment of low-carbon technologies. n Find solutions to global energy challenges through engagement and dialogue with non-member countries, industry, international organisations and other stakeholders.

Lisa Ryan; Sara Moarif; Ellina Levina; Richard Baron; Lisa Ryan; Sara Moarif; Ellina Levina; Richard Baron

2011-01-01T23:59:59.000Z

476

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

477

Renewable Energy RFPs: Solicitation Response and Wind ContractPrices  

DOE Green Energy (OSTI)

As input into renewable energy policy discussions in Illinois, we have been asked to provide information on the results of recent, competitive solicitations for renewable energy, with a focus on wind power. In particular, this memorandum includes two pieces of information: (1) Publicly available data on the strength of response to recent renewable energy solicitations; and (2) Wind power purchase costs as revealed through actual power purchase agreements with electric utilities.

Wiser, Ryan; Bolinger, Mark

2005-04-18T23:59:59.000Z

478

Lynn Price  

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

Lynn Price China Energy Group Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R2002 Berkeley CA 94720 Office Location: 90-2108 (510) 486-6519 LKPrice@lbl.gov NOTICE Due...

479

Snuller Price  

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

Snuller Price Energy and Environmental Economics This speaker was a visiting speaker who delivered a talk or talks on the date(s) shown at the links below. This speaker is not...

480

Natural Gas Prices - Energy Explained, Your Guide To Understanding ...  

U.S. Energy Information Administration (EIA)

Solar Thermal Power Plants; Solar Thermal Collectors; Solar Energy & the Environment. Secondary Sources. Electricity. The Science of Electricity. Magnets and Electricity;

Note: This page contains sample records for the topic "nems energy price" 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

Three Essays on Price Dynamics and Causations among Energy Markets and Macroeconomic Information  

E-Print Network (OSTI)

This dissertation examines three important issues in energy markets: price dynamics, information flow, and structural change. We discuss each issue in detail, building empirical time series models, analyzing the results, and interpreting the findings. First, we examine the contemporaneous interdependencies and information flows among crude oil, natural gas, and electricity prices in the United States (US) through the multivariate generalized autoregressive conditional heteroscedasticity (MGARCH) model, Directed Acyclic Graph (DAG) for contemporaneous causal structures and Bernanke factorization for price dynamic processes. Test results show that the DAG from residuals of out-of-sample-forecast is consistent with the DAG from residuals of within-sample-fit. The result supports innovation accounting analysis based on DAGs using residuals of out-of-sample-forecast. Second, we look at the effects of the federal fund rate and/or WTI crude oil price shock on US macroeconomic and financial indicators by using a Factor Augmented Vector Autoregression (FAVAR) model and a graphical model without any deductive assumption. The results show that, in contemporaneous time, the federal fund rate shock is exogenous as the identifying assumption in the Vector Autoregression (VAR) framework of the monetary shock transmission mechanism, whereas the WTI crude oil price return is not exogenous. Third, we examine price dynamics and contemporaneous causality among the price returns of WTI crude oil, gasoline, corn, and the S&P 500. We look for structural break points and then build an econometric model to find the consistent sub-periods having stable parameters in a given VAR framework and to explain recent movements and interdependency among returns. We found strong evidence of two structural breaks and contemporaneous causal relationships among the residuals, but also significant differences between contemporaneous causal structures for each sub-period.

Hong, Sung Wook 1977-

2012-12-01T23:59:59.000Z

482

Correlation of Price to Inventory Levels - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Gasoline prices move with changes in crude oil prices, and crude prices have varied significantly over the past decade, as illustrated above with the monthly average ...

483

New York Home Heating Oil Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

The severity of this spot price increase is causing dramatic changes in residential home heating oil prices, although residential price movements are usually a ...

484

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

485

Peak-load pricing and thermal energy storage  

DOE Green Energy (OSTI)

Twenty papers were presented at the meeting. A separate abstract was prepared for each of 19 papers. One paper was processed previously for the Energy Data Base (EDB). Fifteen of the papers were processed for inclusion in Energy Abstracts for Policy Analysis (EAPA). (LCL)

Not Available

1979-01-01T23:59:59.000Z

486

EIA - The National Energy Modeling System: An Overview 2003 - Preface  

Gasoline and Diesel Fuel Update (EIA)

Preface Preface The National Energy Modeling System: An Overview 2003 Preface The National Energy Modeling System: An Overview 2003 provides a summary description of the National Energy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, imports, and prices through the year 2025 for the Annual Energy Outlook 2003 (AEO2003), (DOE/EIA-0383(2003)), released in January 2003. AEO2003 presents national forecasts of energy markets for five primary cases—a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. The Overview presents a brief description of the methodology and scope of each of the component modules of NEMS. The model documentation reports listed in the appendix of this document provide further details.

487

Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis-2013  

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

8 8 Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2013 Annual Supplement to NIST Handbook 135 and NBS Special Publication 709 Amy S. Rushing Joshua D. Kneifel Barbara C. Lippiatt http://dx.doi.org/10.6028/NIST.IR.85-3273-28 U.S. DEPARTMENT OF COMMERCE Technology Administration National Institute of Standards and Technology Prepared for United States Department of Energy Federal Energy Management Program April 2005 NISTIR 85-3273-28 Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2013 Annual Supplement to NIST Handbook 135 and NBS Special Publication 709 Amy S. Rushing Joshua D. Kneifel Barbara C. Lippiatt Applied Economics Office Engineering Laboratory http://dx.doi.org/10.6028/NIST.IR.85-3273-28

488

Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2012  

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

7 7 Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2012 Annual Supplement to NIST Handbook 135 and NBS Special Publication 709 Amy S. Rushing Joshua D. Kneifel Barbara C. Lippiatt http://dx.doi.org/10.6028/NIST.IR.85-3273-27 U.S. DEPARTMENT OF COMMERCE Technology Administration National Institute of Standards and Technology Prepared for United States Department of Energy Federal Energy Management Program April 2005 NISTIR 85-3273-27 Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2012 Annual Supplement to NIST Handbook 135 and NBS Special Publication 709 Amy S. Rushing Joshua D. Kneifel Barbara C. Lippiatt Applied Economics Office Engineering Laboratory http://dx.doi.org/10.6028/NIST.IR.85-3273-27

489

The Effect of Energy Prices on Operation and Investment in OECD Countries: Evidence from the Vintage Capital Model  

E-Print Network (OSTI)

capital stock may reduce future energy (including fossil fuel) input consumption. To illustrate the outcome of such policies we use the vintage capital model predictions to evaluate the e¤ect of a greenhouse emissions tax on energy consumption. Because... (agriculture, commerce, manufacturing, and transport) between 1990 and 2005. Compared to earlier studies, our analysis relies on more accurate energy prices in different sectors and countries based on the end-use fuel prices and sector-specific energy mix...

Steinbuks, J; Meshreky, A; Neuhoff, Karsten

490

A Survey of Utility Experience with Real Time Pricing  

E-Print Network (OSTI)

with Real Time Pricing Xcel Energy (Public Service Companywith Real Time Pricing Xcel Energy, MDC (MinnesotaUtilities Division). 2001. “Xcel Energy’s Real-Time Pricing

Barbose, Galen; Goldman, Charles; Neenan, Bernie

2004-01-01T23:59:59.000Z

491

The potential impact of renewable energy deployment on natural gas prices in New England  

E-Print Network (OSTI)

hub price (2002$/MMBtu) EERE: New England hub price (2002$/Northeast/PJM States (Bcf) EERE: Consumption all Northeast/

Wiser, Ryan; Bolinger, Mark

2004-01-01T23:59:59.000Z

492

What Is Price Volatility  

Gasoline and Diesel Fuel Update (EIA)

What Is Price Volatility? What Is Price Volatility? The term "price volatility" is used to describe price fluctuations of a commodity. Volatility is measured by the day-to-day percentage difference in the price of the commodity. The degree of variation, not the level of prices, defines a volatile market. Since price is a function of supply and demand, it follows that volatility is a result of the underlying supply and demand characteristics of the market. Therefore, high levels of volatility reflect extraordinary characteristics of supply and/or demand. Prices of basic energy (natural gas, electricity, heating oil) are generally more volatile than prices of other commodities. One reason that energy prices are so volatile is that many consumers are extremely limited in their ability to substitute other fuels when the price, of natural gas

493

Effects of the uncertainty about global economic recovery on energy transition and CO2 price  

E-Print Network (OSTI)

This paper examines the impact that uncertainty over economic growth may have on global energy transition and CO 2 prices. We use a general-equilibrium model derived from MERGE, and define several stochastic scenarios for economic growth. Each scenario is characterized by the likelihood of a rapid global economic recovery. More precisely, during each decade, global economy may- with a given probability- shift from the EIA's (2010) loweconomic-growth path to the EIA's (2010) high-economic-growth path. The climate policy considered corresponds in the medium term to the commitments announced after the Copenhagen conference, and in the long term to a reduction of 25 % in global energy-related CO 2 emissions (with respect to 2005). For the prices of CO 2 and electricity, as well as for the implementation of CCS, the branches of the resulting stochastic trajectories appear to be heavily influenced by agents ’ initial expectations of future economic growth and by the economic growth actually realized. Thus, in 2040, the global price of CO 2 may range from $21 (when an initiallyanticipated economic recovery never occurs) to $128 (in case of non-anticipated rapid economic recovery). In addition, we show that within each region, the model internalizes the constraints limiting the expansion of each power-generation technology through the price paid by the power utility for the acquisition of new production capacity. As a result, in China, the curves of endogenous investment costs for onshore and offshore wind are all

Co Price; Olivier Dur; Axel Pierru; Yves Smeers; Olivier Durand-lasserve; Axel Pierru; Yves Smeers

2011-01-01T23:59:59.000Z

494

Distributed generation capabilities of the national energy modeling system  

E-Print Network (OSTI)

the electricity and natural gas prices from the NEMS supply-links Electricity and Natural Gas Prices from Supply- sidecombination of low natural gas prices and cold weather would

LaCommare, Kristina Hamachi; Edwards, Jennifer L.; Marnay, Chris

2003-01-01T23:59:59.000Z

495

Prices and Price Setting.  

E-Print Network (OSTI)

??This thesis studies price data and tries to unravel the underlying economic processes of why firms have chosen these prices. It focuses on three aspects… (more)

Faber, R.P.

2010-01-01T23:59:59.000Z

496

The National Energy Modeling System: An Ocerview 2000 - Preface  

Gasoline and Diesel Fuel Update (EIA)

Preface Preface The National Energy Modeling System: An Overview provides a summary description of the National Energy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, imports, and prices through the year 2020 for the Annual Energy Outlook 2000 (AEO2000), (DOE/EIA-0383(2000)), released in November 1999. AEO2000 presents national forecasts of energy markets for five cases—a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. The Overview presents a brief description of the methodology and scope of each of the component modules of NEMS. The model documentation reports listed in the appendix of this document provide further details.

497

Can Deployment of Renewable Energy and Energy Efficiency Put Downward Pressure on Natural Gas Prices  

E-Print Network (OSTI)

price elasticity of natural gas supply implied by theour key findings. NATURAL GAS SUPPLY AND DEMAND: A CURSORYprice elasticity of natural gas supply, and discuss the

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

498

Scenarios for Benefits Analysis of Energy Research, Development,Demonstration and Deployment  

SciTech Connect

For at least the last decade, evaluation of the benefits of research, development, demonstration, and deployment (RD3) by the U.S. Department of Energy has been conducted using deterministic forecasts that unrealistically presume we can precisely foresee our future 10, 25,or even 50 years hence. This effort tries, in a modest way, to begin a process of recognition that the reality of our energy future is rather one rife with uncertainty. The National Energy Modeling System (NEMS) is used by the Department of Energy's Office of Energy Efficiency and Renewable Energy (EE) and Fossil Energy (FE) for their RD3 benefits evaluation. In order to begin scoping out the uncertainty in these deterministic forecasts, EE and FE designed two futures that differ significantly from the basic NEMS forecast. A High Fuel Price Scenario and a Carbon Cap Scenario were envisioned to forecast alternative futures and the associated benefits. Ernest Orlando Lawrence Berkeley National Laboratory (LBNL) implemented these scenarios into its version of NEMS,NEMS-LBNL, in late 2004, and the Energy Information Agency created six scenarios for FE in early 2005. The creation and implementation of the EE-FE scenarios are explained in this report. Both a Carbon Cap Scenario and a High Fuel Price Scenarios were implemented into the NEMS-LBNL. EIA subsequently modeled similar scenarios using NEMS. While the EIA and LBNL implementations were in some ways rather different, their forecasts do not significantly diverge. Compared to the Reference Scenario, the High Fuel Price Scenario reduces energy consumption by 4 percent in 2025, while in the EIA fuel price scenario (known as Scenario 4) reduction from its corresponding reference scenario (known as Scenario 0) in 2025 is marginal. Nonetheless, the 4 percent demand reduction does not lead to other cascading effects that would significantly differentiate the two scenarios. The LBNL and EIA carbon scenarios were mostly identical. The only major difference was that LBNL started working with the AEO 2004NEMS code and EIA was using AEO 2005 NEMS code. Unlike the High Price Scenario the Carbon Cap scenario gives a radically different forecast than the Reference Scenario. NEMS-LBNL proved that it can handle these alternative scenarios. However, results are price inelastic (for both oil and natural gas prices) within the price range evaluated. Perhaps even higher price paths would lead to a distinctly different forecast than the Reference Scenario. On the other hand, the Carbon Cap Scenario behaves more like an alternative future. The future in the Carbon Cap Scenario has higher electricity prices, reduced driving, more renewable capacity, and reduced energy consumption. The next step for this work is to evaluate the EE benefits under each of the three scenarios. Comparing those three sets of predicted benefits will indicate how much uncertainty is inherent within this sort of deterministic forecasting.

Gumerman, Etan; Marnay, Chris

2005-09-07T23:59:59.000Z

499

An Analysis of the Effects of Residential Photovoltaic Energy Systems on Home Sales Prices in California  

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

4476E 4476E An Analysis of the Effects of Residential Photovoltaic Energy Systems on Home Sales Prices in California Ben Hoen, Ryan Wiser, Peter Cappers and Mark Thayer Environmental Energy Technologies Division April 2011 Download from http://eetd.lbl.gov/ea/emp/reports/lbnl-4476e.pdf This work was supported by the Office of Energy Efficiency and Renewable Energy (Solar Energy Technologies Program) of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231, by the National Renewable Energy Laboratory under Contract No. DEK-8883050, and by the Clean Energy States Alliance. ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY Disclaimer This document was prepared as an account of work sponsored by the United States Government.

500

International Energy Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 23 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 International Energy Module The NEMS International Energy Module (IEM) simulates the interaction between U.S. and global petroleum markets. It uses assumptions of economic growth and expectations of future U.S. and world crude-like liquids production and consumption to estimate the effects of changes in U.S. liquid fuels markets on the international petroleum market. For each year of the forecast, the NEMS IEM computes world oil prices, provides a supply curve of world crude-like liquids, generates a worldwide oil supply- demand balance with regional detail, and computes quantities of crude oil and light and heavy petroleum products imported into