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  1. Distributed Generation

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

    Distributed Energy Distributed Energy Distributed energy consists of a range of smaller-scale and modular devices designed to provide electricity, and sometimes also thermal energy, in locations close to consumers. They include fossil and renewable energy technologies (e.g., photovoltaic arrays, wind turbines, microturbines, reciprocating engines, fuel cells, combustion turbines, and steam turbines); energy storage devices (e.g., batteries and flywheels); and combined heat and power systems.

  2. The Case for Natural Gas Fueled Solid Oxide Fuel Cell Power Systems for Distributed Generation

    SciTech Connect (OSTI)

    Chick, Lawrence A.; Weimar, Mark R.; Whyatt, Greg A.; Powell, Michael R.

    2015-02-01

    Natural-gas-fueled solid oxide fuel cell (NGSOFC) power systems yield electrical conversion efficiencies exceeding 60% and may become a viable alternative for distributed generation (DG) if stack life and manufacturing economies of scale can be realized. Currently, stacks last approximately 2 years and few systems are produced each year because of the relatively high cost of electricity from the systems. If mass manufacturing (10,000 units per year) and a stack life of 15 years can be reached, the cost of electricity from an NGSOFC system is estimated to be about 7.7 ¢/kWh, well within the price of commercial and residential retail prices at the national level (9.9-10¢/kWh and 11-12 ¢/kWh, respectively). With an additional 5 ¢/kWh in estimated additional benefits from DG, NGSOFC could be well positioned to replace the forecasted 59-77 gigawatts of capacity loss resulting from coal plant closures due to stricter emissions regulations and low natural gas prices.

  3. Distributed generation hits market

    SciTech Connect (OSTI)

    1997-10-01

    The pace at which vendors are developing and marketing gas turbines and reciprocating engines for small-scale applications may signal the widespread growth of distributed generation. Loosely defined to refer to applications in which power generation equipment is located close to end users who have near-term power capacity needs, distributed generation encompasses a broad range of technologies and load requirements. Disagreement is inevitable, but many industry observers associate distributed generation with applications anywhere from 25 kW to 25 MW. Ten years ago, distributed generation users only represented about 2% of the world market. Today, that figure has increased to about 4 or 5%, and probably could settle in the 20% range within a 3-to-5-year period, according to Michael Jones, San Diego, Calif.-based Solar Turbines Inc. power generation marketing manager. The US Energy Information Administration predicts about 175 GW of generation capacity will be added domestically by 2010. If 20% comes from smaller plants, distributed generation could account for about 35 GW. Even with more competition, it`s highly unlikely distributed generation will totally replace current market structures and central stations. Distributed generation may be best suited for making market inroads when and where central systems need upgrading, and should prove its worth when the system can`t handle peak demands. Typical applications include small reciprocating engine generators at remote customer sites or larger gas turbines to boost the grid. Additional market opportunities include standby capacity, peak shaving, power quality, cogeneration and capacity rental for immediate demand requirements. Integration of distributed generation systems--using gas-fueled engines, gas-fired combustion engines and fuel cells--can upgrade power quality for customers and reduce operating costs for electric utilities.

  4. GASIFICATION FOR DISTRIBUTED GENERATION

    SciTech Connect (OSTI)

    Ronald C. Timpe; Michael D. Mann; Darren D. Schmidt

    2000-05-01

    A recent emphasis in gasification technology development has been directed toward reduced-scale gasifier systems for distributed generation at remote sites. The domestic distributed power generation market over the next decade is expected to be 5-6 gigawatts per year. The global increase is expected at 20 gigawatts over the next decade. The economics of gasification for distributed power generation are significantly improved when fuel transport is minimized. Until recently, gasification technology has been synonymous with coal conversion. Presently, however, interest centers on providing clean-burning fuel to remote sites that are not necessarily near coal supplies but have sufficient alternative carbonaceous material to feed a small gasifier. Gasifiers up to 50 MW are of current interest, with emphasis on those of 5-MW generating capacity. Internal combustion engines offer a more robust system for utilizing the fuel gas, while fuel cells and microturbines offer higher electric conversion efficiencies. The initial focus of this multiyear effort was on internal combustion engines and microturbines as more realistic near-term options for distributed generation. In this project, we studied emerging gasification technologies that can provide gas from regionally available feedstock as fuel to power generators under 30 MW in a distributed generation setting. Larger-scale gasification, primarily coal-fed, has been used commercially for more than 50 years to produce clean synthesis gas for the refining, chemical, and power industries. Commercial-scale gasification activities are under way at 113 sites in 22 countries in North and South America, Europe, Asia, Africa, and Australia, according to the Gasification Technologies Council. Gasification studies were carried out on alfalfa, black liquor (a high-sodium waste from the pulp industry), cow manure, and willow on the laboratory scale and on alfalfa, black liquor, and willow on the bench scale. Initial parametric tests evaluated through reactivity and product composition were carried out on thermogravimetric analysis (TGA) equipment. These tests were evaluated and then followed by bench-scale studies at 1123 K using an integrated bench-scale fluidized-bed gasifier (IBG) which can be operated in the semicontinuous batch mode. Products from tests were solid (ash), liquid (tar), and gas. Tar was separated on an open chromatographic column. Analysis of the gas product was carried out using on-line Fourier transform infrared spectroscopy (FT-IR). For selected tests, gas was collected periodically and analyzed using a refinery gas analyzer GC (gas chromatograph). The solid product was not extensively analyzed. This report is a part of a search into emerging gasification technologies that can provide power under 30 MW in a distributed generation setting. Larger-scale gasification has been used commercially for more than 50 years to produce clean synthesis gas for the refining, chemical, and power industries, and it is probable that scaled-down applications for use in remote areas will become viable. The appendix to this report contains a list, description, and sources of currently available gasification technologies that could be or are being commercially applied for distributed generation. This list was gathered from current sources and provides information about the supplier, the relative size range, and the status of the technology.

  5. Distributed generation implementation guidelines

    SciTech Connect (OSTI)

    Guzy, L.; O`Sullivan, J.B.; Jacobs, K.; Major, W.

    1999-11-01

    The overall economics of a distributed generation project is based on cost elements which include: Equipment and financing, fuel, displaced electricity cost, operation and maintenance. Of critical importance is how the facility is managed, including adequate provision for a comprehensive operator training program. Proper equipment maintenance and fuel procurement policy will also lead to greater system availability and optimal system economics. Various utility tariffs are available which may be economically attractive, with an added benefit to the utility of providing a peak shaving resource during peak periods. Changing modes of operation of the distributed generation system may affect staff readiness, require retraining and could affect maintenance costs. The degree of control and oversight that is provided during a project`s implementation and construction phases will impact subsequent maintenance and operating costs. The long term effect of siting impacts, such as building facades that restrict turbine inlet airflow will affect subsequent operations and require supplemental maintenance action. It is possible to site a variety of distributed generation technologies in settings which vary from urban to remote unattended locations with successful results from both an economic and operational perspective.

  6. Heat distribution by natural convection

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1985-01-01

    Natural convection can provide adequate heat distribution in many situtations that arise in buildings. This is appropriate, for example, in passive solar buildings where some rooms tend to be more strongly solar heated than others or to reduce the number of heating units required in a building. Natural airflow and heat transport through doorways and other internal building apertures is predictable and can be accounted for in the design. The nature of natural convection is described, and a design chart is presented appropriate to a simple, single-doorway situation. Natural convective loops that can occur in buildings are described and a few design guidelines are presented.

  7. Economic feasibility analysis of distributed electric power generation based upon the natural gas-fired fuel cell. Final report

    SciTech Connect (OSTI)

    Not Available

    1994-03-01

    The final report provides a summary of results of the Cost of Ownership Model and the circumstances under which a distributed fuel cell is economically viable. The analysis is based on a series of micro computer models estimate the capital and operations cost of a fuel cell central utility plant configuration. Using a survey of thermal and electrical demand profiles, the study defines a series of energy user classes. The energy user class demand requirements are entered into the central utility plant model to define the required size the fuel cell capacity and all supporting equipment. The central plant model includes provisions that enables the analyst to select optional plant features that are most appropriate to a fuel cell application, and that are cost effective. The model permits the choice of system features that would be suitable for a large condominium complex or a residential institution such as a hotel, boarding school or prison. Other applications are also practical; however, such applications have a higher relative demand for thermal energy, a characteristic that is well-suited to a fuel cell application with its free source of hot water or steam. The analysis combines the capital and operation from the preceding models into a Cost of Ownership Model to compute the plant capital and operating costs as a function of capacity and principal features and compares these estimates to the estimated operating cost of the same central plant configuration without a fuel cell.

  8. Alternative Fuels Data Center: Natural Gas Distribution

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

    Natural Gas Distribution to someone by E-mail Share Alternative Fuels Data Center: Natural Gas Distribution on Facebook Tweet about Alternative Fuels Data Center: Natural Gas Distribution on Twitter Bookmark Alternative Fuels Data Center: Natural Gas Distribution on Google Bookmark Alternative Fuels Data Center: Natural Gas Distribution on Delicious Rank Alternative Fuels Data Center: Natural Gas Distribution on Digg Find More places to share Alternative Fuels Data Center: Natural Gas

  9. Heat distribution by natural convection

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1985-01-01

    Natural convection can provide adequate heat distribution in many situations that arise in buildings. This is appropriate, for example, in passive solar buildings where some rooms tend to be more strongly solar heated than others. Natural convection can also be used to reduce the number of auxiliary heating units required in a building. Natural airflow and heat transport through doorways and other internal building apertures are predictable and can be accounted for in the design. The nature of natural convection is described, and a design chart is presented appropriate to a simple, single-doorway situation. Experimental results are summarized based on the monitoring of 15 passive solar buildings which employ a wide variety of geometrical configurations including natural convective loops.

  10. Regulatory Considerations for Developing Distributed Generation...

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

    Regulatory Considerations for Developing Distributed Generation Projects Webinar May 23, 2012 Regulatory Considerations for Developing Distributed Generation Projects Webinar May 23, ...

  11. Regulatory Considerations for Developing Distributed Generation...

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

    Distributed Generation Projects Webinar May 23, 2012 Regulatory Considerations for Developing Distributed Generation Projects Webinar May 23, 2012 Document covers the Regulatory ...

  12. Other Distributed Generation Technologies | Open Energy Information

    Open Energy Info (EERE)

    Other Distributed Generation Technologies Jump to: navigation, search TODO: Add description List of Other Distributed Generation Technologies Incentives Retrieved from "http:...

  13. Fuel cells in distributed generation

    SciTech Connect (OSTI)

    O'Sullivan, J.B.

    1999-07-01

    In the past the vertically integrated electric utility industry has not utilized Distributed Generation (DG) because it was viewed as competition to central station power production. Gas utilities have been heavily and aggressively involved in the promotion of gas fired DG because for them it is additional load that may also balance the winter load. With deregulation and restructuring of the electricity industry DG is now viewed in a different light. For those utilities that have sold their generation assets DG can be a new retail service to provide to their customers. For those who are still vertically integrated, DG can be an asset management tool at the distribution level. DG can be utilized to defer capital investments involving line and substation upgrades. Coupled to this new interest in DG technologies and their performance characteristics are the associated interests in implementation issues. These range from the codes and standards requirements and hardware for interfacing to the grid as well as C{sup 3}-I (command, control, communication--intelligence) issues. The latter involves dispatching on-grid or customer sited resources, monitoring their performance and tracking the economic transactions. Another important aspect is the impact of DG resources (size, number and location) on service area dynamic behavior (power quality, reliability, stability, etc.). EPRI has ongoing programs addressing all these aspects of DG and the distribution grid. Since fuel cells can be viewed as electrochemical engines, and as with thermomechanical engines, there doesn't have to be a best fuel cell. Each engine can serve many markets and some will be better suited than others in a specific market segment (e.g. spark ignition in cars and turbines in planes). This paper will address the status of developing fuel cell technologies and their application to various market areas within the context of Distributed Generation.

  14. Regulatory Considerations for Developing Distributed Generation Projects

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

    Webinar May 23, 2012 | Department of Energy Distributed Generation Projects Webinar May 23, 2012 Regulatory Considerations for Developing Distributed Generation Projects Webinar May 23, 2012 Document covers the Regulatory Considerations for Developing Distributed Generation Projects. PDF icon regulatory_considerations_052312.pdf More Documents & Publications Regulatory Considerations for Developing Distributed Generation Projects Webinar May 23, 2012 Regulatory Considerations for

  15. Regulatory Considerations for Developing Distributed Generation Projects

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

    Webinar May 23, 2012 | Department of Energy Regulatory Considerations for Developing Distributed Generation Projects Webinar May 23, 2012 Regulatory Considerations for Developing Distributed Generation Projects Webinar May 23, 2012 Regulatory Considerations for Developing Distributed Generation Projects PDF icon regulatory_considerations_052312.pdf More Documents & Publications Regulatory Considerations for Developing Distributed Generation Projects Webinar May 23, 2012 Regulatory

  16. Natural gas beats coal in power generation

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

    Natural gas beats coal in power generation The amount of U.S. electricity generated by natural gas is expected to exceed the output from coal-fired power plants this year and in ...

  17. Distributed Generation Operational Reliability, Executive Summary Report,

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

    January 2004 | Department of Energy Reliability, Executive Summary Report, January 2004 Distributed Generation Operational Reliability, Executive Summary Report, January 2004 This report summarizes the results of the project, "Distributed Generation Market Transformation Tools: Distributed Generation Reliability and Availability Database," sponsored by Oak Ridge National Laboratory (ORNL), Energy Solutions Center (ESC), New York State Energy Research and Development Authority

  18. NREL: Technology Deployment - Distributed Generation Interconnection

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

    Collaborative Distributed Generation Interconnection Collaborative Become a Member DGIC members are included in quarterly informational meetings and discussions related to distributed PV interconnection practices, research, and innovation. For more information, contact Kristen Ardani. Subscribe to DGIC Updates Learn about upcoming webinars and other DGIC announcements. NREL facilitates the Distributed Generation Interconnection Collaborative (DGIC) with support from the Solar Electric Power

  19. Distributed Generation Operational Reliability and Availability Database,

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

    Final Report, January 2004 | Department of Energy Reliability and Availability Database, Final Report, January 2004 Distributed Generation Operational Reliability and Availability Database, Final Report, January 2004 This final report documents the results of an 18-month project entitled, "Distributed Generation Market Transformation Tools: Distributed Generation Reliability and Availability Database," sponsored by Oak Ridge National Laboratory (ORNL), Energy Solutions Center

  20. Modeling Distributed Generation in the Buildings Sectors

    Reports and Publications (EIA)

    2013-01-01

    This report focuses on how the Energy Information Administrationmodels residential and commercial sector distributed generation, including combined heat and power, for the Annual Energy Outlook.

  1. List of Other Distributed Generation Technologies Incentives...

    Open Energy Info (EERE)

    Solar Thermal Process Heat Photovoltaics Wind Biomass Fuel Cells Ground Source Heat Pumps Hydrogen Biodiesel Fuel Cells using Renewable Fuels Other Distributed Generation...

  2. Distributed Generation Operational Reliability, Executive Summary...

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

    Reliability, Executive Summary Report, January 2004 Distributed Generation Operational Reliability, Executive Summary Report, January 2004 This report summarizes the results of the ...

  3. Distributed Generation Operational Reliability and Availability...

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

    Reliability and Availability Database, Final Report, January 2004 Distributed Generation Operational Reliability and Availability Database, Final Report, January 2004 This final ...

  4. Integration of Demand Side Management, Distributed Generation...

    Open Energy Info (EERE)

    various aspects of demand response, distributed generation, smart grid and energy storage. Annex 9 is a list of pilot programs and case studies, with links to those...

  5. Heat distribution by natural convection

    SciTech Connect (OSTI)

    Balcomb, J.D.; Yamaguchi, K.

    1983-01-01

    Natural convection between spaces in a building can play a major role in energy transfer. Two situations are investigated: convection through a single doorway into a remote room, and a convective loop in a two-story house with a south sunspace where a north stairway serves as the return path. A doorway-sizing equation is given for the single-door case. Detailed data are given from the monitoring of airflow in one two-story house and summary data are given for five others. Observations on the nature of the airflow and design guidelines are presented.

  6. Distributed generation - the fuel processing example

    SciTech Connect (OSTI)

    Victor, R.A.; Farris, P.J.; Maston, V.

    1996-12-31

    The increased costs of transportation and distribution are leading many commercial and industrial firms to consider the on-site generation for energy and other commodities used in their facilities. This trend has been accelerated by the development of compact, efficient processes for converting basic raw materials into finished services at the distributed sites. Distributed generation with the PC25{trademark} fuel cell power plant is providing a new cost effective technology to meet building electric and thermal needs. Small compact on-site separator systems are providing nitrogen and oxygen to many industrial users of these gases. The adaptation of the fuel processing section of the PC25 power plant for on-site hydrogen generation at industrial sites extends distributed generation benefits to the users of industrial hydrogen.

  7. Minnesota Natural Gas Pipeline and Distribution Use (Million...

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

    (Million Cubic Feet) Minnesota Natural Gas Pipeline and Distribution Use (Million Cubic ... Natural Gas Pipeline & Distribution Use Minnesota Natural Gas Consumption by End Use ...

  8. Minnesota Natural Gas Pipeline and Distribution Use Price (Dollars...

    Gasoline and Diesel Fuel Update (EIA)

    Price (Dollars per Thousand Cubic Feet) Minnesota Natural Gas Pipeline and Distribution ... Price for Natural Gas Pipeline and Distribution Use Minnesota Natural Gas Prices Price for ...

  9. Distributed generation: Early markets for emerging technologies

    SciTech Connect (OSTI)

    Lenssen, N.; Cler, G.

    1999-11-01

    How will developers of emerging distributed generation technologies successfully commercialize their products. This paper presents one approach for these developers, borrowing from the experience of other developers of innovative technologies and services. E Source`s analysis suggests, however, that there is already more of a market for distributed generation than is generally recognized. US and Canadian firms already buy about 3,400 megawatts of small generators each year, mostly for backup power but some as the primary power source for selected loads and facilities. This demand is expected to double in 10 years. The global market for small generators is already more than 10 times this size, at some 40,000 megawatts per year, and it is expected to continue growing rapidly, especially in developing nations. Just how the emerging distributed generation technologies, such as microturbines, fuel cells, and Stirling engines compete-or surpass-the conventional technologies will have a huge impact on their eventual commercial success.

  10. Natural Gas Transmission and Distribution Module

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

    www.eia.gov Joe Benneche July 31, 2012, Washington, DC Major assumption changes for AEO2013 Oil and Gas Working Group Natural Gas Transmission and Distribution Module DRAFT WORKING GROUP PRESENTATION DO NOT QUOTE OR CITE Overview 2 Joe Benneche, Washington, DC, July 31, 2012 * Replace regional natural gas wellhead price projections with regional spot price projections * Pricing of natural gas vehicles fuels (CNG and LNG) * Methodology for modeling exports of LNG * Assumptions on charges related

  11. TurboGenerator Power Systems{trademark} for distributed generation

    SciTech Connect (OSTI)

    Weinstein, C.H.

    1998-12-31

    The AlliedSignal TurboGenerator is a cost effective, environmentally benign, low cost, highly reliable and simple to maintain generation source. Market Surveys indicate that the significant worldwide market exists, for example, the United States Electric Power Research Institute (EPRI) which is the uniform research facility for domestic electric utilities, predicts that up to 40% of all new generation could be distributed generation by the year 2006. In many parts of the world, the lack of electric infrastructure (transmission and distribution lines) will greatly expedite the commercialization of distributed generation technologies since central plants not only cost more per kW, but also must have expensive infrastructure installed to deliver the product to the consumer. Small, multi-fuel, modular distributed generation units, such as the TurboGenerator, can help alleviate current afternoon brownouts and blackouts prevalent in many parts of the world. Its simple, one moving part concept allows for low technical skill maintenance and its low overall cost allows for wide spread purchase in those parts of the world where capital is sparse. In addition, given the United States emphasis on electric deregulation and the world trend in this direction, consumers of electricity will now have not only the right to choose the correct method of electric service but also a new cost effective choice from which to choose.

  12. Distributed Generation Investment by a Microgrid under Uncertainty

    SciTech Connect (OSTI)

    Marnay, Chris; Siddiqui, Afzal; Marnay, Chris

    2008-08-11

    This paper examines a California-based microgrid?s decision to invest in a distributed generation (DG) unit fuelled by natural gas. While the long-term natural gas generation cost is stochastic, we initially assume that the microgrid may purchase electricity at a fixed retail rate from its utility. Using the real options approach, we find a natural gas generation cost threshold that triggers DG investment. Furthermore, the consideration of operational flexibility by the microgrid increases DG investment, while the option to disconnect from the utility is not attractive. By allowing the electricity price to be stochastic, we next determine an investment threshold boundary and find that high electricity price volatility relative to that of natural gas generation cost delays investment while simultaneously increasing the value of the investment. We conclude by using this result to find the implicit option value of the DG unit when two sources of uncertainty exist.

  13. Distributed Generation Investment by a Microgrid UnderUncertainty

    SciTech Connect (OSTI)

    Siddiqui, Afzal; Marnay, Chris

    2006-06-16

    This paper examines a California-based microgrid s decision to invest in a distributed generation (DG) unit that operates on natural gas. While the long-term natural gas generation cost is stochastic, we initially assume that the microgrid may purchase electricity at a fixed retail rate from its utility. Using the real options approach, we find natural gas generating cost thresholds that trigger DG investment. Furthermore, the consideration of operational flexibility by the microgrid accelerates DG investment, while the option to disconnect entirely from the utility is not attractive. By allowing the electricity price to be stochastic, we next determine an investment threshold boundary and find that high electricity price volatility relative to that of natural gas generating cost delays investment while simultaneously increasing the value of the investment. We conclude by using this result to find the implicit option value of the DG unit.

  14. Property:Distributed Generation System Power Application | Open...

    Open Energy Info (EERE)

    + Based Load + Distributed Generation StudyPatterson Farms CHP System Using Renewable Biogas + Based Load + Distributed Generation StudySUNY Buffalo + Based Load + Distributed...

  15. Capturing the benefits of distributed generation

    SciTech Connect (OSTI)

    Coles, L.R.

    1999-11-01

    Existing and future distributed generation (DG) can provide significant benefits to customers, utilities and other service providers. For the customer, these benefits could include improved reliability, better power quality and lower costs. For the utility distribution company, these benefits could include deferral of costly distribution upgrades and local voltage support. For the region`s generation and transmission suppliers, DG can provide dependable capacity supply, relief from transmission constraints, and ancillary transmission services such as reactive supply and supplemental reserves. The promise of DG technologies is strong. The technical hurdles to capturing these benefits are being met with improved generators and with enhanced command, control, and communications technologies. However, institutional and regulatory hurdles to capturing these distributed generation benefits appear to be significant. Restructuring for retail access and the delamination of utilities into wires companies and generation companies may make it difficult to capture many of the multiple benefits of DG. Policy-makers should be aware of these factors and strive to craft policies and rules that give DG a fair change to deliver these strong benefits.

  16. The Value of Distributed Generation and CHP Resources in Wholesale...

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

    The Value of Distributed Generation and CHP Resources in Wholesale Power Markets, September 2005 The Value of Distributed Generation and CHP Resources in Wholesale Power Markets, ...

  17. Property:Distributed Generation System Enclosure | Open Energy...

    Open Energy Info (EERE)

    + Outdoor + Distributed Generation StudyPatterson Farms CHP System Using Renewable Biogas + Dedicated Shelter + Distributed Generation StudySUNY Buffalo + Outdoor +...

  18. Property:Distributed Generation Prime Mover | Open Energy Information

    Open Energy Info (EERE)

    G3508 + Distributed Generation StudyPatterson Farms CHP System Using Renewable Biogas + Caterpillar G379 + Distributed Generation StudySUNY Buffalo + Capstone C60 +...

  19. Advanced Distributed Generation LLC ADG | Open Energy Information

    Open Energy Info (EERE)

    Distributed Generation LLC ADG Jump to: navigation, search Name: Advanced Distributed Generation LLC (ADG) Place: Toledo, Ohio Zip: OH 43607 Product: ADG is a general contracting...

  20. SMALL TURBOGENERATOR TECHNOLOGY FOR DISTRIBUTED GENERATION

    SciTech Connect (OSTI)

    Sy Ali; Bob Moritz

    2001-09-01

    This report is produced in under Contract DE-FC26-00NT40914, awarded in accordance with U.S. Department of Energy solicitation DE-PS26-00FT40759, ''Development of Technologies and Capabilities for Fossil Energy-Wide Coal, Natural Gas and Oil R&D Programs'', area of interest 7, ''Advanced Turbines and Engines.'' As a result of ten years of collaborative fuel cell systems studies with U.S. fuel cell manufacturers, initiated to evaluate the gas turbine opportunities likely to result from this technology, Rolls-Royce in Indianapolis has established a clear need for the creation of a turbogenerator to a specification that cannot be met by available units. Many of the required qualities are approached, but not fully met, by microturbines, which tend to be too small and low in pressure ratio. Market evaluation suggests a 1 MW fuel cell hybrid, incorporating a turbogenerator of about 250 kW, is a good market entry product (large enough to spread the costs of a relatively complex plant, but small enough to be acceptable to early adopters). The fuel cell stack occupies the position of a combustor in the turbogenerator, but delivers relatively low turbine entry temperature (1600 F [870 C]). If fitted with a conventional combustor and run stand-alone at full uncooled turbine temperature (1800 F [980 C]), the turbogenerator will develop more power. The power can be further enhanced if the turbogenerator is designed to have flow margin in its fuel cell role (by running faster). This margin can be realized by running at full speed and it is found that power can be increased to the 0.7 to 1.0 MW range, depending on initial fuel cell stack flow demand. The fuel cell hybrid applications require increased pressure ratio (at least 6 rather than the 3-4 of microturbines) and very long life for a small machine. The outcome is a turbogenerator that is very attractive for stand-alone operation and has been the subject of unsolicited enthusiasm from potential users who see an application in grid support. The machine is consistent with 21st century power generation objectives. It will be more efficient than a microturbine and also more cost effective because it does not require an expensive recuperator. It will produce ultra-low emissions because it has a low combustor delivery temperature. It will also avoid producing hazardous waste because it requires no lube system. These qualities are obtained by combining, and in some instances extending, the best of available technologies rather than breaking wholly new ground. Limited ''barrier technology'' rig tests of bearing systems and alternator configuration are proposed to support the extension of technology. Low combustion temperature also has merit in handling alternative fuels with minimum emissions and minimum materials degradation. Program continuation is proposed that will simultaneously provide technology support to a SECA fuel cell hybrid system and a distributed generation turbogenerator. This technology program will be led by a Rolls-Royce team based in Indianapolis with access to extensive small turbogenerator experience gathered in DOE (and other) programs by Allison Mobile Power Systems. It is intended that subsequent production will be in the U.S., but the products may have substantial export potential.

  1. Renewable Energy: Distributed Generation Policies and Programs | Department

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

    of Energy Distributed Generation Policies and Programs Renewable Energy: Distributed Generation Policies and Programs Distributed generation is the term used when electricity is generated from sources, often renewable energy sources, near the point of use instead of centralized generation sources from power plants. State and local governments can implement policies and programs regarding distributed generation and its use to help overcome market and regulatory barriers to implementation.

  2. Distributed Generation: Challenges and Opportunities, 7. edition

    SciTech Connect (OSTI)

    2007-10-15

    The report is a comprehensive study of the Distributed Generation (DG) industry. The report takes a wide-ranging look at the current and future state of DG and both individually and collectively addresses the technologies of Microturbines, Reciprocating Engines, Stirling Engines, Fuel Cells, Photovoltaics, Concentrating Solar, Wind, and Microgrids. Topics covered include: the key technologies being used or planned for DG; the uses of DG from utility, energy service provider, and customer viewpoints; the economics of DG; the benefits of DG from multiple perspectives; the barriers that exist to implementing DG; the government programs supporting the DG industry; and, an analysis of DG interconnection and net metering rules.

  3. Distributed Generation with Heat Recovery and Storage

    SciTech Connect (OSTI)

    Siddiqui, Afzal; Marnay, Chris; Firestone, Ryan M.; Zhou, Nan

    2005-07-29

    Electricity generated by distributed energy resources (DER) located close to end-use loads has the potential to meet consumer requirements more efficiently than the existing centralized grid. Installation of DER allows consumers to circumvent the costs associated with transmission congestion and other non-energy costs of electricity delivery and potentially to take advantage of market opportunities to purchase energy when attractive. On-site thermal power generation is typically less efficient than central station generation, but by avoiding non-fuel costs of grid power and utilizing combined heat and power (CHP) applications, i.e., recovering heat from small-scale on-site generation to displace fuel purchases, then DER can become attractive to a strictly cost-minimizing consumer. In previous efforts, the decisions facing typical commercial consumers have been addressed using a mixed-integer linear programme, the DER Customer Adoption Model(DER-CAM). Given the site s energy loads, utility tariff structure, and information (both technical and financial) on candidate DER technologies, DER-CAM minimizes the overall energy cost for a test year by selecting the units to install and determining their hourly operating schedules. In this paper, the capabilities of DER-CAM are enhanced by the inclusion of the option to store recovered low-grade heat. By being able to keep an inventory of heat for use in subsequent periods, sites are able to lower costs even further by reducing off-peak generation and relying on storage. This and other effects of storages are demonstrated by analysis of five typical commercial buildings in San Francisco, California, and an estimate of the cost per unit capacity of heat storage is calculated.

  4. Integrated, Automated Distributed Generation Technologies Demonstration

    SciTech Connect (OSTI)

    Jensen, Kevin

    2014-09-30

    The purpose of the NETL Project was to develop a diverse combination of distributed renewable generation technologies and controls and demonstrate how the renewable generation could help manage substation peak demand at the ATK Promontory plant site. The Promontory plant site is located in the northwestern Utah desert approximately 25 miles west of Brigham City, Utah. The plant encompasses 20,000 acres and has over 500 buildings. The ATK Promontory plant primarily manufactures solid propellant rocket motors for both commercial and government launch systems. The original project objectives focused on distributed generation; a 100 kW (kilowatt) wind turbine, a 100 kW new technology waste heat generation unit, a 500 kW energy storage system, and an intelligent system-wide automation system to monitor and control the renewable energy devices then release the stored energy during the peak demand time. The original goal was to reduce peak demand from the electrical utility company, Rocky Mountain Power (RMP), by 3.4%. For a period of time we also sought to integrate our energy storage requirements with a flywheel storage system (500 kW) proposed for the Promontory/RMP Substation. Ultimately the flywheel storage system could not meet our project timetable, so the storage requirement was switched to a battery storage system (300 kW.) A secondary objective was to design/install a bi-directional customer/utility gateway application for real-time visibility and communications between RMP, and ATK. This objective was not achieved because of technical issues with RMP, ATK Information Technology Department’s stringent requirements based on being a rocket motor manufacturing facility, and budget constraints. Of the original objectives, the following were achieved: • Installation of a 100 kW wind turbine. • Installation of a 300 kW battery storage system. • Integrated control system installed to offset electrical demand by releasing stored energy from renewable sources during peak hours of the day. Control system also monitors the wind turbine and battery storage system health, power output, and issues critical alarms. Of the original objectives, the following were not achieved: • 100 kW new technology waste heat generation unit. • Bi-directional customer/utility gateway for real time visibility and communications between RMP and ATK. • 3.4% reduction in peak demand. 1.7% reduction in peak demand was realized instead.

  5. Property:Distributed Generation System Heating-Cooling Application...

    Open Energy Info (EERE)

    This is a property of type Page. Pages using the property "Distributed Generation System Heating-Cooling Application" Showing 21 pages using this property. D Distributed...

  6. Property:Distributed Generation Function | Open Energy Information

    Open Energy Info (EERE)

    Function Jump to: navigation, search Property Name Distributed Generation Function Property Type Page Description A description of the function(s) for which the Distributed...

  7. Fuel Cell Comparison of Distributed Power Generation Technologies

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

    4 Fuel Cycle Comparison of Distributed Power Generation Technologies Energy Systems ... or UChicago Argonne, LLC. ANLESD08-4 Fuel Cycle Comparison of Distributed Power ...

  8. Distributed Generation with Heat Recovery and Storage

    SciTech Connect (OSTI)

    Siddiqui, Afzal S.; Marnay, Chris; Firestone, Ryan M.; Zhou, Nan

    2006-06-16

    Electricity produced by distributed energy resources (DER)located close to end-use loads has the potential to meet consumerrequirements more efficiently than the existing centralized grid.Installation of DER allows consumers to circumvent the costs associatedwith transmission congestion and other non-energy costs of electricitydelivery and potentially to take advantage of market opportunities topurchase energy when attractive. On-site, single-cycle thermal powergeneration is typically less efficient than central station generation,but by avoiding non-fuel costs of grid power and by utilizing combinedheat and power (CHP) applications, i.e., recovering heat from small-scaleon-site thermal generation to displace fuel purchases, DER can becomeattractive to a strictly cost-minimizing consumer. In previous efforts,the decisions facing typical commercial consumers have been addressedusing a mixed-integer linear program, the DER Customer Adoption Model(DER-CAM). Given the site s energy loads, utility tariff structure, andinformation (both technical and financial) on candidate DER technologies,DER-CAM minimizes the overall energy cost for a test year by selectingthe units to install and determining their hourly operating schedules. Inthis paper, the capabilities of DER-CAM are enhanced by the inclusion ofthe option to store recovered low-grade heat. By being able to keep aninventory of heat for use in subsequent periods, sites are able to lowercosts even further by reducing lucrative peak-shaving generation whilerelying on storage to meet heat loads. This and other effects of storageare demonstrated by analysis of five typical commercial buildings in SanFrancisco, California, USA, and an estimate of the cost per unit capacityof heat storage is calculated.

  9. Stationary/Distributed Generation Projects | Department of Energy

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

    Technology Validation » Stationary/Distributed Generation Projects Stationary/Distributed Generation Projects Stationary power is the most mature application for fuel cells. Stationary fuel cell units are used for backup power, power for remote locations, stand-alone power plants for towns and cities, distributed generation for buildings, and co-generation (in which excess thermal energy from electricity generation is used for heat). Approximately, 600 systems that produce 10 kilowatts or more

  10. Fuel cycle comparison of distributed power generation technologies.

    SciTech Connect (OSTI)

    Elgowainy, A.; Wang, M. Q.; Energy Systems

    2008-12-08

    The fuel-cycle energy use and greenhouse gas (GHG) emissions associated with the application of fuel cells to distributed power generation were evaluated and compared with the combustion technologies of microturbines and internal combustion engines, as well as the various technologies associated with grid-electricity generation in the United States and California. The results were primarily impacted by the net electrical efficiency of the power generation technologies and the type of employed fuels. The energy use and GHG emissions associated with the electric power generation represented the majority of the total energy use of the fuel cycle and emissions for all generation pathways. Fuel cell technologies exhibited lower GHG emissions than those associated with the U.S. grid electricity and other combustion technologies. The higher-efficiency fuel cells, such as the solid oxide fuel cell (SOFC) and molten carbonate fuel cell (MCFC), exhibited lower energy requirements than those for combustion generators. The dependence of all natural-gas-based technologies on petroleum oil was lower than that of internal combustion engines using petroleum fuels. Most fuel cell technologies approaching or exceeding the DOE target efficiency of 40% offered significant reduction in energy use and GHG emissions.

  11. Emissions Benefits of Distributed Generation in the Texas Market

    SciTech Connect (OSTI)

    Hadley, SW

    2005-06-16

    One potential benefit of distributed generation (DG) is a net reduction in air emissions. While DG will produce emissions, most notably carbon dioxide and nitrogen oxides, the power it displaces might have produced more. This study used a system dispatch model developed at Oak Ridge National Laboratory to simulate the 2012 Texas power market with and without DG. This study compares the reduction in system emissions to the emissions from the DG to determine the net savings. Some of the major findings are that 85% of the electricity displaced by DG during peak hours will be simple cycle natural gas, either steam or combustion turbine. Even with DG running as baseload, 57% of electricity displaced will be simple cycle natural gas. Despite the retirement of some gas-fired steam units and the construction of many new gas turbine and combined cycle units, the marginal emissions from the system remain quite high (1.4 lb NO{sub x}/MWh on peak and 1.1 lb NO{sub x}/MWh baseload) compared to projected DG emissions. Consequently, additions of DG capacity will reduce emissions in Texas from power generation in 2012. Using the DG exhaust heat for combined heat and power provides an even greater benefit, since it eliminates further boiler emissions while adding none over what would be produced while generating electricity. Further studies are warranted concerning the robustness of the result with changes in fuel prices, demands, and mixes of power generating technology.

  12. Vermont Agency of Natural Resources Permitting Energy Generation...

    Open Energy Info (EERE)

    search OpenEI Reference LibraryAdd to library PermittingRegulatory Guidance - GuideHandbook: Vermont Agency of Natural Resources Permitting Energy Generation...

  13. Investment and Upgrade in Distributed Generation under Uncertainty

    SciTech Connect (OSTI)

    Siddiqui, Afzal; Maribu, Karl

    2008-08-18

    The ongoing deregulation of electricity industries worldwide is providing incentives for microgrids to use small-scale distributed generation (DG) and combined heat and power (CHP) applications via heat exchangers (HXs) to meet local energy loads. Although the electric-only efficiency of DG is lower than that of central-station production, relatively high tariff rates and the potential for CHP applications increase the attraction of on-site generation. Nevertheless, a microgrid contemplatingthe installation of gas-fired DG has to be aware of the uncertainty in the natural gas price. Treatment of uncertainty via real options increases the value of the investment opportunity, which then delays the adoption decision as the opportunity cost of exercising the investment option increases as well. In this paper, we take the perspective of a microgrid that can proceed in a sequential manner with DG capacity and HX investment in order to reduce its exposure to risk from natural gas price volatility. In particular, with the availability of the HX, the microgrid faces a tradeoff between reducing its exposure to the natural gas price and maximising its cost savings. By varying the volatility parameter, we find that the microgrid prefers a direct investment strategy for low levels of volatility and a sequential one for higher levels of volatility.

  14. Integration of Demand Side Management, Distributed Generation...

    Open Energy Info (EERE)

    the value of the resources and alleviate problems arising from their intermittent nature. This report describes how information was collected, analysed and synthesized and...

  15. Distributed Hydrogen Production from Natural Gas: Independent...

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

    Independent review report on the available information concerning the technologies needed for forecourts producing 150 kgday of hydrogen from natural gas. PDF icon 40382.pdf More ...

  16. Dispatchable Distributed Generation: Manufacturing's Role in...

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

    Manufacturing Presentation.pdf PDF icon Adams ERCOTDOE DER.PDF PDF icon WASHOM Austin ... 10 2016.pdf More Documents & Publications R&D For Dispatchable Distributed Energy ...

  17. Advanced Distributed Generation LLC | Open Energy Information

    Open Energy Info (EERE)

    Ohio Zip: 43607 Sector: Solar Product: Agriculture; Consulting; Installation; Maintenance and repair; Retail product sales and distribution Phone Number: 419-725-3401...

  18. Natural Gas Transmission and Distribution Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Documents the archived version of the Natural Gas Transmission and Distribution Model that was used to produce the natural gas forecasts used in support of the Annual Energy Outlook 2014.

  19. Regulatory Considerations for Developing Distributed Generation...

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

    ... responsible for a required UFLS program, UVLS program, Special Protection System or Transmission Protection System. Generator OwnerOperator Individual Plant > 20 MVA ...

  20. Distributed Generation Systems Inc | Open Energy Information

    Open Energy Info (EERE)

    Colorado Zip: 80228 Region: Rockies Area Sector: Wind energy Product: Developer of electricity generation wind power facilities Website: www.disgenonline.com Coordinates:...

  1. ,"Rhode Island Natural Gas Pipeline and Distribution Use Price...

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

    ies","Frequency","Latest Data for" ,"Data 1","Rhode Island Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","9...

  2. ,"New Jersey Natural Gas Pipeline and Distribution Use Price...

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

    eries","Frequency","Latest Data for" ,"Data 1","New Jersey Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","9...

  3. ,"North Carolina Natural Gas Pipeline and Distribution Use Price...

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

    s","Frequency","Latest Data for" ,"Data 1","North Carolina Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","9...

  4. ,"North Dakota Natural Gas Pipeline and Distribution Use Price...

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

    ies","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","9...

  5. ,"New Hampshire Natural Gas Pipeline and Distribution Use Price...

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

    es","Frequency","Latest Data for" ,"Data 1","New Hampshire Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","9...

  6. ,"New Mexico Natural Gas Pipeline and Distribution Use Price...

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

    eries","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","9...

  7. ,"New York Natural Gas Pipeline and Distribution Use Price (Dollars...

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

    Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","9...

  8. Solid Oxide Fuel Cell Hybrid System for Distributed Power Generation

    SciTech Connect (OSTI)

    David Deangelis; Rich Depuy; Debashis Dey; Georgia Karvountzi; Nguyen Minh; Max Peter; Faress Rahman; Pavel Sokolov; Deliang Yang

    2004-09-30

    This report summarizes the work performed by Hybrid Power Generation Systems, LLC (HPGS) during the April to October 2004 reporting period in Task 2.3 (SOFC Scaleup for Hybrid and Fuel Cell Systems) under Cooperative Agreement DE-FC26-01NT40779 for the U. S. Department of Energy, National Energy Technology Laboratory (DOE/NETL), entitled ''Solid Oxide Fuel Cell Hybrid System for Distributed Power Generation''. This study analyzes the performance and economics of power generation systems for central power generation application based on Solid Oxide Fuel Cell (SOFC) technology and fueled by natural gas. The main objective of this task is to develop credible scale up strategies for large solid oxide fuel cell-gas turbine systems. System concepts that integrate a SOFC with a gas turbine were developed and analyzed for plant sizes in excess of 20 MW. A 25 MW plant configuration was selected with projected system efficiency of over 65% and a factory cost of under $400/kW. The plant design is modular and can be scaled to both higher and lower plant power ratings. Technology gaps and required engineering development efforts were identified and evaluated.

  9. Overview of the Distributed Generation Interconnection Collaborative

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

    December 17, 2013 Overview presentation for group call, 1:00-2:30EST 2 October 21,2013 NREL and EPRI facilitated workshop of electric utilities, PV developers, PUCs, and other stakeholders to discuss the formulation of a collaborative effort focused on distributed PV interconnection: - Data and informational gaps/needs - Persistent challenges - Replicable innovation - Informed decision making and planning for anticipated rise in distributed PV interconnection Based on stakeholder input and

  10. Poland - Economic and Financial Benefits of Distributed Generation...

    Open Energy Info (EERE)

    Name Poland - Economic and Financial Benefits of Distributed Generation Small-Scale, Gas-Fired CHP AgencyCompany Organization Argonne National Laboratory Sector Energy...

  11. The Value of Distributed Generation (DG) under Different Tariff...

    Open Energy Info (EERE)

    URI: cleanenergysolutions.orgcontentvalue-distributed-generation-dg-under Language: English Policies: "Regulations,Financial Incentives" is not in the list of possible...

  12. High Penetration Solar Distributed Generation Study on Oahu

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

    High Penetration Solar Distributed Generation Study on Oahu In 2008, the Hawaii Clean Energy Initiative (HCEI) set a ... to understand the impact on the entire electric power system. ...

  13. The Potential Benefits of Distributed Generation and the Rate...

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

    Issues That May Impede Its Expansion The Potential Benefits of Distributed Generation and the Rate-Related Issues That May Impede Its Expansion The Potential Benefits ...

  14. Distributed Generation Systems Inc DISGEN | Open Energy Information

    Open Energy Info (EERE)

    Systems Inc DISGEN Jump to: navigation, search Name: Distributed Generation Systems Inc (DISGEN) Place: Lakewood, Colorado Zip: 80228 Sector: Wind energy Product: Developer of...

  15. Method and apparatus for generating a natural crack

    DOE Patents [OSTI]

    Fulton, F.J.; Honodel, C.A.; Holman, W.R.; Weingart, R.C.

    1982-05-06

    A method and apparatus for generating a measurable natural crack includes forming a primary notch in the surface of a solid material. A nonsustained single pressure pulse is then generated in the vicinity of the primary notch, reuslting in the formation of a shock wave which travels through the material. The shock wave creates a measurable natural crack within the material which extends from the primary notch. The natural crack formed possesses predictable geometry, location and orientation.

  16. Method and apparatus for generating a natural crack

    DOE Patents [OSTI]

    Fulton, Fred J.; Honodel, Charles A.; Holman, William R.; Weingart, Richard C.

    1984-01-01

    A method and apparatus for generating a measurable natural crack includes forming a primary notch in the surface of a solid material. A non-sustained single pressure pulse is then generated in the vicinity of the primary notch, resulting in the formation of a shock wave which travels through the material. The shock wave creates a measurable natural crack within the material which extends from the primary notch. The natural crack formed possesses predictable geometry, location and orientation.

  17. Experimental comparison of PV-smoothing controllers using distributed generators

    SciTech Connect (OSTI)

    Johnson, Jay Dean; Ellis, Abraham; Denda, Atsushi; Morino, Kimio; Hawkins, John N.; Arellano, Brian; Shinji, Takao; Ogata, Takao; Tadokoro, Masayuki

    2014-02-01

    The power output variability of photovoltaic systems can affect local electrical grids in locations with high renewable energy penetrations or weak distribution or transmission systems. In those rare cases, quick controllable generators (e.g., energy storage systems) or loads can counteract the destabilizing effects by compensating for the power fluctuations. Previously, control algorithms for coordinated and uncoordinated operation of a small natural gas engine-generator (genset) and a battery for smoothing PV plant output were optimized using MATLAB/Simulink simulations. The simulations demonstrated that a traditional generation resource such as a natural gas genset in combination with a battery would smooth the photovoltaic output while using a smaller battery state of charge (SOC) range and extending the life of the battery. This paper reports on the experimental implementation of the coordinated and uncoordinated controllers to verify the simulations and determine the differences in the controllers. The experiments were performed with the PNM PV and energy storage Prosperity site and a gas engine-generator located at the Aperture Center at Mesa Del Sol in Albuquerque, New Mexico. Two field demonstrations were performed to compare the different PV smoothing control algorithms: (1) implementing the coordinated and uncoordinated controls while switching off a subsection of the PV array at precise times on successive clear days, and (2) comparing the results of the battery and genset outputs for the coordinated control on a high variability day with simulations of the coordinated and uncoordinated controls. It was found that for certain PV power profiles the SOC range of the battery may be larger with the coordinated control, but the total amp-hours through the battery-which approximates battery wear-will always be smaller with the coordinated control.

  18. Operation of Distributed Generation Under Stochastic Prices

    SciTech Connect (OSTI)

    Siddiqui, Afzal S.; Marnay, Chris

    2005-11-30

    We model the operating decisions of a commercial enterprisethatneeds to satisfy its periodic electricity demand with either on-sitedistributed generation (DG) or purchases from the wholesale market. Whilethe former option involves electricity generation at relatively high andpossibly stochastic costs from a set of capacity-constrained DGtechnologies, the latter implies unlimited open-market transactions atstochastic prices. A stochastic dynamic programme (SDP) is used to solvethe resulting optimisation problem. By solving the SDP with and withoutthe availability of DG units, the implied option values of the DG unitsare obtained.

  19. Distributed Generation in Buildings (released in AEO2005)

    Reports and Publications (EIA)

    2008-01-01

    Currently, distributed generation provides a very small share of residential and commercial electricity requirements in the United States. The Annual Energy Outlook 2005 reference case projects a significant increase in electricity generation in the buildings sector, but distributed generation is expected to remain a small contributor to the sectors energy needs. Although the advent of higher energy prices or more rapid improvement in technology could increase the use of distributed generation relative to the reference case projection, the vast majority of electricity used in buildings is projected to continue to be purchased from the grid.

  20. Next Generation Natural Gas Vehicle Activity: Natural Gas Engine and Vehicle Research & Development (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2003-09-01

    This fact sheet describes the status of the Next Generation Natural Gas Vehicle (NGNGV) activity, including goals, R&D progress, NGV implementation, and the transition to hydrogen.

  1. NREL: Energy Analysis - Distributed Generation Energy Technology Capital

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

    Costs Bookmark and Share Distributed Generation Energy Technology Capital Costs Transparent Cost Database Button The following charts indicate recent capital cost estimates for distributed generation (DG) renewable energy technologies. The estimates are shown in dollars per installed kilowatt of generating capacity or thermal energy capacity for thermal technologies. The charts provide a compilation of available national-level cost data from a variety of sources. Costs in your specific

  2. High Penetration Solar Distributed Generation Study on Oahu | Department of

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

    Energy High Penetration Solar Distributed Generation Study on Oahu High Penetration Solar Distributed Generation Study on Oahu The rooftop solar PV on Hawai'i's Mauna Lani Bay Hotel generates 75 kW of electricity. <em>Photo from SunPower, NREL 06430</em> The rooftop solar PV on Hawai'i's Mauna Lani Bay Hotel generates 75 kW of electricity. Photo from SunPower, NREL 06430 To complement energy efficiency targets in Hawai'i, the state developed requirements for generating 40% of its

  3. Next Generation Natural Gas Vehicle (NGNGV) Program Fact Sheet

    SciTech Connect (OSTI)

    Walkowicz, K.

    2002-05-01

    Fact sheet describing U. S. DOE and NREL's development of next generation natural gas vehicles (NGVs) as a key element in its strategy to reduce oil import and vehicle pollutants.

  4. Next Generation Natural Gas Vehicle Program Phase I: Clean Air...

    Office of Scientific and Technical Information (OSTI)

    0.5 ghp-h NOx Engine Concept; Final Report Citation Details In-Document Search Title: Next Generation Natural Gas Vehicle Program Phase I: Clean Air Partners 0.5 ghp-h NOx ...

  5. 1,"Mystic Generating Station","Natural gas","Constellation Mystic...

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

    (MW)" 1,"Mystic Generating Station","Natural gas","Constellation Mystic Power LLC",1997.2 2,"Brayton Point","Coal","Brayton Point Energy LLC",1505 3,"Northfield Mountain","Pumped ...

  6. Next Generation Natural Gas Vehicle Program Phase I: Clean Air...

    Office of Scientific and Technical Information (OSTI)

    I: Clean Air Partners 0.5 ghp-h NOx Engine Concept; Final Report Citation Details In-Document Search Title: Next Generation Natural Gas Vehicle Program Phase I: Clean Air Partners ...

  7. Hawaii Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    Pipeline and Distribution Use (Million Cubic Feet) Hawaii Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 2 2 2 3 2 2 2010's 2 2 3 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Pipeline & Distribution Use Hawaii Natural Gas

  8. Next Generation Natural Gas Vehicle (NGNGV) Program Brochure

    SciTech Connect (OSTI)

    Elling, J.

    2000-10-26

    The Department of Energy's Office of Transportation Technologies is initiating the Next Generation Natural Gas Vehicle (NGNGV) Program to develop commercially viable medium- and heavy-duty natural gas vehicles. These new vehicles will incorporate advanced alternative fuel vehicle technologies that were developed by DOE and others.

  9. Iowa Natural Gas Pipeline and Distribution Use (Million Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    (Million Cubic Feet) Iowa Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 11,309...

  10. Illinois Natural Gas Pipeline and Distribution Use (Million Cubic...

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

    (Million Cubic Feet) Illinois Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

  11. Notice of Study Availability - Potential Benefits of Distributed Generation

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

    and Rate-Related Issues That May Impede Their Expansion: Federal Register Notice Volume 72, No. 40 - Mar. 1, 2007 | Department of Energy Study Availability - Potential Benefits of Distributed Generation and Rate-Related Issues That May Impede Their Expansion: Federal Register Notice Volume 72, No. 40 - Mar. 1, 2007 Notice of Study Availability - Potential Benefits of Distributed Generation and Rate-Related Issues That May Impede Their Expansion: Federal Register Notice Volume 72, No. 40 -

  12. Distributed Generation System Characteristics and Costs in the Buildings Sector

    Gasoline and Diesel Fuel Update (EIA)

    Distributed Generation System Characteristics and Costs in the Buildings Sector August 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Distributed Generation System Characteristics and Costs in the Buildings Sector i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and

  13. Local control of reactive power by distributed photovoltaic generators

    SciTech Connect (OSTI)

    Chertkov, Michael; Turitsyn, Konstantin; Sulc, Petr; Backhaus, Scott

    2010-01-01

    High penetration levels of distributed photovoltaic (PV) generation on an electrical distribution circuit may severely degrade power quality due to voltage sags and swells caused by rapidly varying PV generation during cloud transients coupled with the slow response of existing utility compensation and regulation equipment. Although not permitted under current standards for interconnection of distributed generation, fast-reacting, VAR-capable PV inverters may provide the necessary reactive power injection or consumption to maintain voltage regulation under difficult transient conditions. As side benefit, the control of reactive power injection at each PV inverter provides an opportunity and a new tool for distribution utilities to optimize the performance of distribution circuits, e.g. by minimizing thermal losses. We suggest a local control scheme that dispatches reactive power from each PV inverter based on local instantaneous measurements of the real and reactive components of the consumed power and the real power generated by the PVs. Using one adjustable parameter per circuit, we balance the requirements on power quality and desire to minimize thermal losses. Numerical analysis of two exemplary systems, with comparable total PV generation albeit a different spatial distribution, show how to adjust the optimization parameter depending on the goal. Overall, this local scheme shows excellent performance; it's capable of guaranteeing acceptable power quality and achieving significant saving in thermal losses in various situations even when the renewable generation in excess of the circuit own load, i.e. feeding power back to the higher-level system.

  14. Vermont Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Vermont Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 9 8 8 2000's 15 14 14 14 14 14 15 16 15 17 2010's 16 53 114 89 124 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Pipeline & Distribution Use Vermont Natural

  15. Elimination of direct current distribution systems from new generating stations

    SciTech Connect (OSTI)

    Jancauskas, J.R.

    1996-12-31

    This paper advances the concept that it may be both possible and advantageous to eliminate the traditional direct current distribution system from a new generating station. The latest developments in uninterruptible power supply (UPS) technology are what have made this option technically feasible. A traditional dc distribution system will be compared to an ac distribution system supplied by a UPS to investigate the merits of the proposed approach.

  16. Proposed methodologies for evaluating grid benefits of distributed generation

    SciTech Connect (OSTI)

    Skowronski, M.J.

    1999-11-01

    As new Distributed Generation technologies are brought to the market, new hurdles to successful commercialization of these promising forms of on-site generation are becoming apparent. The impetus to commercialize these technologies has, up to now, been the value and benefits that the end user derives from the installation of Distributed Generation. These benefits are primarily economic as Distributed Generation is normally installed to reduce the customer utility bill. There are, however, other benefits of Distributed Generation other than the reduction in the cost of electric service, and these benefits normally accrue to the system or system operator. The purpose of this paper is to evaluate and suggest methodologies to quantify these ancillary benefits that the grid and/or connecting utility derive from customer on-site generation. Specifically, the following are discussed: reliability in service; transmission loss reduction; spinning and non-spinning reserve margin; peak shaving and interruptible loads; transmission and distribution deferral; VAR support/power quality; cogeneration capability; improvement in utility load factor fuel diversity; emission reductions; and qualitative factors -- reduced energy congestion, less societal disruption, faster response time, black start capability, system operation benefits.

  17. Transition metal catalysis in the generation of natural gas

    SciTech Connect (OSTI)

    Mango, F.D.

    1995-12-31

    The view that natural gas is thermolytic, coming from decomposing organic debris, has remained almost unchallenged for nearly half a century. Disturbing contradictions exist, however: Oil is found at great depth, at temperatures where only gas should exist and oil and gas deposits show no evidence of the thermolytic debris indicative of oil decomposing to gas. Moreover, laboratory attempts to duplicate the composition of natural gas, which is typically between 60 and 95+ wt% methane in C{sub 1}-C{sub 4}, have produced insufficient amounts of methane (10 to 60%). It has been suggested that natural gas may be generated catalytically, promoted by the transition metals in carbonaceous sedimentary rocks. This talk will discuss experimental results that support this hypothesis. Various transition metals, as pure compounds and in source rocks, will be shown to generate a catalytic gas that is identical to natural gas. Kinetic results suggest robust catalytic activity under moderate catagenetic conditions.

  18. Distributed electrical generation technologies and methods for their economic assessment

    SciTech Connect (OSTI)

    Kreider, J.F.; Curtiss, P.S.

    2000-07-01

    A confluence of events in the electrical generation and transmission industry has produced a new paradigm for distributed electrical generation and distribution in the US Electrical deregulation, reluctance of traditional utilities to commit capital to large central plants and transmission lines, and a suite of new, efficient generation hardware have all combined to bring this about. Persistent environmental concerns have further stimulated several new approaches. In this paper the authors describe the near term distributed generation technologies and their differentiating characteristics along with their readiness for the US market. In order to decide which approaches are well suited to a specific project, an assessment methodology is needed. A technically sound approach is therefore described and example results are given.

  19. Delaware Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Delaware Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 13 15 45 2000's 62 23 49 34 39 40 18 16 18 22 2010's 140 464 1,045 970 1,040 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Pipeline & Distribution Use

  20. New Hampshire Natural Gas Pipeline and Distribution Use (Million Cubic

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

    Feet) (Million Cubic Feet) New Hampshire Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 24 22 2 2000's 32 24 60 24 22 22 20 17 9 13 2010's 247 202 27 67 81 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Pipeline & Distribution Use

  1. Maine Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Maine Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0 0 0 2000's 808 1,164 877 859 658 585 494 753 943 837 2010's 1,753 2,399 762 844 1,300 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Pipeline & Distribution Use

  2. Technology for distributed generation in a global marketplace

    SciTech Connect (OSTI)

    Leeper, J.D.; Barich, J.T.

    1998-12-31

    During the last 20 years, great strides have been made in the development and demonstration of distributed generation technologies. Wind, phosphoric acid fuel cells, and photovoltaic systems are now competitive in selected niche markets. Other technologies such as MTG, higher temperature fuel cells, and fuel cell hybrids are expected to become competitive in selected applications in the next few years. As the electric utility industry moves toward restructuring and increasing demand in emerging countries, one can expect even greater demand for environmentally friendly distributed generation technologies.

  3. SULFUR REMOVAL FROM PIPE LINE NATURAL GAS FUEL: APPLICATION TO FUEL CELL POWER GENERATION SYSTEMS

    SciTech Connect (OSTI)

    King, David L.; Birnbaum, Jerome C.; Singh, Prabhakar

    2003-11-21

    Pipeline natural gas is being considered as the fuel of choice for utilization in fuel cell-based distributed generation systems because of its abundant supply and the existing supply infrastructure (1). For effective utilization in fuel cells, pipeline gas requires efficient removal of sulfur impurities (naturally occurring sulfur compounds or sulfur bearing odorants) to prevent the electrical performance degradation of the fuel cell system. Sulfur odorants such as thiols and sulfides are added to pipeline natural gas and to LPG to ensure safe handling during transportation and utilization. The odorants allow the detection of minute gas line leaks, thereby minimizing the potential for explosions or fires.

  4. Modeling Distributed Electricity Generation in the NEMS Buildings Models

    Reports and Publications (EIA)

    2011-01-01

    This paper presents the modeling methodology, projected market penetration, and impact of distributed generation with respect to offsetting future electricity needs and carbon dioxide emissions in the residential and commercial buildings sector in the Annual Energy Outlook 2000 (AEO2000) reference case.

  5. Energy Storage and Distributed Energy Generation Project, Final Project Report

    SciTech Connect (OSTI)

    Schwank, Johannes; Mader, Jerry; Chen, Xiaoyin; Mi, Chris; Linic, Suljo; Sastry, Ann Marie; Stefanopoulou, Anna; Thompson, Levi; Varde, Keshav

    2008-03-31

    This report serves as a Final Report under the “Energy Storage and Distribution Energy Generation Project” carried out by the Transportation Energy Center (TEC) at the University of Michigan (UM). An interdisciplinary research team has been working on fundamental and applied research on: -distributed power generation and microgrids, -power electronics, and -advanced energy storage. The long-term objective of the project was to provide a framework for identifying fundamental research solutions to technology challenges of transmission and distribution, with special emphasis on distributed power generation, energy storage, control methodologies, and power electronics for microgrids, and to develop enabling technologies for novel energy storage and harvesting concepts that can be simulated, tested, and scaled up to provide relief for both underserved and overstressed portions of the Nation’s grid. TEC’s research is closely associated with Sections 5.0 and 6.0 of the DOE "Five-year Program Plan for FY2008 to FY2012 for Electric Transmission and Distribution Programs, August 2006.”

  6. Fact #844: October 27, 2014 Electricity Generated from Coal has Declined while Generation from Natural Gas has Grown – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #844: Electricity Generated from Coal has Declined while Generation from Natural Gas has Grown

  7. Greenhouse Gas Abatement with Distributed Generation in California's Commercial Buildings

    SciTech Connect (OSTI)

    Marnay, Chris; Stadler, Michael; Lipman, Tim; Lai, Judy; Cardoso, Goncalo; Megel, Olivier

    2009-09-01

    The motivation and objective of this research is to determine the role of distributed generation (DG) in greenhouse gas reductions by: (1) applying the Distributed Energy Resources Customer Adoption Model (DER-CAM); (2) using the California Commercial End-Use Survey (CEUS) database for commercial buildings; (3) selecting buildings with electric peak loads between 100 kW and 5 MW; (4) considering fuel cells, micro-turbines, internal combustion engines, gas turbines with waste heat utilization, solar thermal, and PV; (5) testing of different policy instruments, e.g. feed-in tariff or investment subsidies.

  8. ANALYSIS OF DISTRIBUTION FEEDER LOSSES DUE TO ADDITION OF DISTRIBUTED PHOTOVOLTAIC GENERATORS

    SciTech Connect (OSTI)

    Tuffner, Francis K.; Singh, Ruchi

    2011-08-09

    Distributed generators (DG) are small scale power supplying sources owned by customers or utilities and scattered throughout the power system distribution network. Distributed generation can be both renewable and non-renewable. Addition of distributed generation is primarily to increase feeder capacity and to provide peak load reduction. However, this addition comes with several impacts on the distribution feeder. Several studies have shown that addition of DG leads to reduction of feeder loss. However, most of these studies have considered lumped load and distributed load models to analyze the effects on system losses, where the dynamic variation of load due to seasonal changes is ignored. It is very important for utilities to minimize the losses under all scenarios to decrease revenue losses, promote efficient asset utilization, and therefore, increase feeder capacity. This paper will investigate an IEEE 13-node feeder populated with photovoltaic generators on detailed residential houses with water heater, Heating Ventilation and Air conditioning (HVAC) units, lights, and other plug and convenience loads. An analysis of losses for different power system components, such as transformers, underground and overhead lines, and triplex lines, will be performed. The analysis will utilize different seasons and different solar penetration levels (15%, 30%).

  9. NREL: dGen: Distributed Generation Market Demand Model - Documentation

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

    Documentation The Distributed Generation Market Demand (dGen) model documentation summarizes the default data inputs and assumptions for the model. Input data for the model are regularly updated and include recent EIA Annual Energy Outlook projections, state-level net metering and incentive policies, and utility-level retail electricity rates. Note that the dGen model builds on, extends, and provides significant advances over NREL's deprecated SolarDS model. Documentation Outline Introduction

  10. January 2013 Most Viewed Documents for Power Generation And Distribution |

    Office of Scientific and Technical Information (OSTI)

    OSTI, US Dept of Energy, Office of Scientific and Technical Information January 2013 Most Viewed Documents for Power Generation And Distribution Lessons from Large-Scale Renewable Energy Integration Studies: Preprint Bird, L.; Milligan, M. Small punch creep test: A promising methodology for high temperature plant components life evaluation Tettamanti, S. [CISE SpA, Milan (Italy)]; Crudeli, R. [ENEL SpA, Milan (Italy)] Failure analyses and weld repair of boiler feed water pumps Vulpen, R. van

  11. Most Viewed Documents - Power Generation and Distribution | OSTI, US Dept

    Office of Scientific and Technical Information (OSTI)

    of Energy, Office of Scientific and Technical Information - Power Generation and Distribution Electric power high-voltage transmission lines: Design options, cost, and electric and magnetic field levels Stoffel, J.B.; Pentecost, E.D.; Roman, R.D.; et al. (1994) ASPEN Plus Simulation of CO2 Recovery Process Charles W. White III (2003) Systems and economic analysis of microalgae ponds for conversion of CO{sub 2} to biomass. Quarterly technical progress report, September 1993--December 1993

  12. A Bio-Based Fuel Cell for Distributed Energy Generation

    SciTech Connect (OSTI)

    Anthony Terrinoni; Sean Gifford

    2008-06-30

    The technology we propose consists primarily of an improved design for increasing the energy density of a certain class of bio-fuel cell (BFC). The BFCs we consider are those which harvest electrons produced by microorganisms during their metabolism of organic substrates (e.g. glucose, acetate). We estimate that our technology will significantly enhance power production (per unit volume) of these BFCs, to the point where they could be employed as stand-alone systems for distributed energy generation.

  13. Optimal Solar PV Arrays Integration for Distributed Generation

    SciTech Connect (OSTI)

    Omitaomu, Olufemi A; Li, Xueping

    2012-01-01

    Solar photovoltaic (PV) systems hold great potential for distributed energy generation by installing PV panels on rooftops of residential and commercial buildings. Yet challenges arise along with the variability and non-dispatchability of the PV systems that affect the stability of the grid and the economics of the PV system. This paper investigates the integration of PV arrays for distributed generation applications by identifying a combination of buildings that will maximize solar energy output and minimize system variability. Particularly, we propose mean-variance optimization models to choose suitable rooftops for PV integration based on Markowitz mean-variance portfolio selection model. We further introduce quantity and cardinality constraints to result in a mixed integer quadratic programming problem. Case studies based on real data are presented. An efficient frontier is obtained for sample data that allows decision makers to choose a desired solar energy generation level with a comfortable variability tolerance level. Sensitivity analysis is conducted to show the tradeoffs between solar PV energy generation potential and variability.

  14. Assessment of Distributed Generation Potential in JapaneseBuildings

    SciTech Connect (OSTI)

    Zhou, Nan; Marnay, Chris; Firestone, Ryan; Gao, Weijun; Nishida,Masaru

    2005-05-25

    To meet growing energy demands, energy efficiency, renewable energy, and on-site generation coupled with effective utilization of exhaust heat will all be required. Additional benefit can be achieved by integrating these distributed technologies into distributed energy resource (DER) systems (or microgrids). This research investigates a method of choosing economically optimal DER, expanding on prior studies at the Berkeley Lab using the DER design optimization program, the Distributed Energy Resources Customer Adoption Model (DER-CAM). DER-CAM finds the optimal combination of installed equipment from available DER technologies, given prevailing utility tariffs, site electrical and thermal loads, and a menu of available equipment. It provides a global optimization, albeit idealized, that shows how the site energy loads can be served at minimum cost by selection and operation of on-site generation, heat recovery, and cooling. Five prototype Japanese commercial buildings are examined and DER-CAM applied to select the economically optimal DER system for each. The five building types are office, hospital, hotel, retail, and sports facility. Based on the optimization results, energy and emission reductions are evaluated. Furthermore, a Japan-U.S. comparison study of policy, technology, and utility tariffs relevant to DER installation is presented. Significant decreases in fuel consumption, carbon emissions, and energy costs were seen in the DER-CAM results. Savings were most noticeable in the sports facility (a very favourable CHP site), followed by the hospital, hotel, and office building.

  15. Idaho Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Idaho Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 5,186 5,496 4,512 2000's 5,939 6,556 5,970 4,538 5,763 5,339 6,507 7,542 6,869 7,031 2010's 7,679 5,201 5,730 5,940 3,867 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural

  16. Montana Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Montana Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 3,436 3,746 5,968 2000's 7,652 7,483 7,719 8,344 8,224 7,956 7,592 7,810 7,328 5,047 2010's 7,442 6,888 6,979 6,769 4,126 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural

  17. Nevada Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Nevada Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 656 782 801 2000's 876 863 851 1,689 2,256 2,224 2,737 2,976 3,013 2,921 2010's 2,992 4,161 6,256 4,954 4,912 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Pipeline

  18. Alaska Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Alaska Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 4,938 5,564 7,250 2000's 7,365 5,070 4,363 4,064 3,798 2,617 2,825 2,115 2,047 2,318 2010's 3,284 3,409 3,974 544 309 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas

  19. District of Columbia Natural Gas Pipeline and Distribution Use (Million

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

    Cubic Feet) (Million Cubic Feet) District of Columbia Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 246 256 244 2000's 243 236 242 470 466 487 464 238 203 177 2010's 213 1,703 1,068 1,434 1,305 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  20. Caterpillar`s advanced reciprocating engine for distributed generation markets

    SciTech Connect (OSTI)

    Gerber, G.; Brandes, D.; Reinhart, M.; Nagel, G.; Wong, E.

    1999-11-01

    Competition in energy markets and federal and state policy advocating clean, advanced technologies as means to achieve environmental and global climate change goals are clear drivers to original equipment manufacturers of prime movers. Underpinning competition are the principle of consumer choice to facilitate retail competition, and the desire to improve system and grid reliability. Caterpillar`s Gas Engine Division is responding to the market`s demand for a more efficient, lower lifecycle cost engine with reduced emissions. Cat`s first generation TARGET engine will be positioned to effectively serve distributed generation and combined heat and power (CHP) applications. TARGET (The Advanced Reciprocating Gas Engine Technology) will embody Cat`s product attributes: durability, reliability, and competitively priced life cycle cost products. Further, Caterpillar`s nationwide, fully established dealer sales and service ensure continued product support subsequent to the sale and installation of the product.

  1. March 2016 Most Viewed Documents for Power Generation And Distribution |

    Office of Scientific and Technical Information (OSTI)

    OSTI, US Dept of Energy, Office of Scientific and Technical Information Power Generation And Distribution Electric power high-voltage transmission lines: Design options, cost, and electric and magnetic field levels Stoffel, J.B.; Pentecost, E.D.; Roman, R.D.; Traczyk, P.A. (1994) 942 ASPEN Plus Simulation of CO2 Recovery Process Charles W. White III (2003) 310 Electric power substation capital costs Dagle, J.E.; Brown, D.R. (1997) 247 Load flow analysis: Base cases, data, diagrams, and

  2. April 2013 Most Viewed Documents for Power Generation And Distribution |

    Office of Scientific and Technical Information (OSTI)

    OSTI, US Dept of Energy, Office of Scientific and Technical Information April 2013 Most Viewed Documents for Power Generation And Distribution Electric power high-voltage transmission lines: Design options, cost, and electric and magnetic field levels Stoffel, J.B.; Pentecost, E.D.; Roman, R.D.; Traczyk, P.A. (1994) 719 Seventh Edition Fuel Cell Handbook NETL (2004) 628 ASPEN Plus Simulation of CO2 Recovery Process Charles W. White III (2003) 343 Wet cooling towers: rule-of-thumb design and

  3. NREL: dGen: Distributed Generation Market Demand Model - Publications

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

    Publications The following are publications-including technical reports, journal articles, conference papers, and posters-focusing on the Distributed Generation Market Demand Model (dGen) and its predecessor, the Solar Deployment System (SolarDS) model. Cole, Wesley, Haley Lewis, Ben Sigrin, and Robert Margolis. 2016. "Interactions of rooftop PV deployment with the capacity expansion of the bulk power system." Applied Energy 168 (April 2016) 473-81. doi:10.1016/j.apenergy.2016.02.004

  4. September 2013 Most Viewed Documents for Power Generation And Distribution

    Office of Scientific and Technical Information (OSTI)

    | OSTI, US Dept of Energy, Office of Scientific and Technical Information September 2013 Most Viewed Documents for Power Generation And Distribution Science Subject Feed Electric power high-voltage transmission lines: Design options, cost, and electric and magnetic field levels Stoffel, J.B.; Pentecost, E.D.; Roman, R.D.; Traczyk, P.A. (1994) 200 /> Wet cooling towers: rule-of-thumb design and simulation Leeper, S.A. (1981) 103 /> ASPEN Plus Simulation of CO2 Recovery Process Charles

  5. September 2015 Most Viewed Documents for Power Generation And Distribution

    Office of Scientific and Technical Information (OSTI)

    | OSTI, US Dept of Energy, Office of Scientific and Technical Information September 2015 Most Viewed Documents for Power Generation And Distribution Electric power high-voltage transmission lines: Design options, cost, and electric and magnetic field levels Stoffel, J.B.; Pentecost, E.D.; Roman, R.D.; Traczyk, P.A. (1994) 700 Wet cooling towers: rule-of-thumb design and simulation Leeper, S.A. (1981) 190 Load flow analysis: Base cases, data, diagrams, and results Portante, E.C.; Kavicky,

  6. July 2013 Most Viewed Documents for Power Generation And Distribution |

    Office of Scientific and Technical Information (OSTI)

    OSTI, US Dept of Energy, Office of Scientific and Technical Information July 2013 Most Viewed Documents for Power Generation And Distribution Science Subject Feed Electric power high-voltage transmission lines: Design options, cost, and electric and magnetic field levels Stoffel, J.B.; Pentecost, E.D.; Roman, R.D.; Traczyk, P.A. (1994) 535 /> ASPEN Plus Simulation of CO2 Recovery Process Charles W. White III (2003) 165 /> Wet cooling towers: rule-of-thumb design and simulation Leeper,

  7. June 2014 Most Viewed Documents for Power Generation And Distribution |

    Office of Scientific and Technical Information (OSTI)

    OSTI, US Dept of Energy, Office of Scientific and Technical Information June 2014 Most Viewed Documents for Power Generation And Distribution Science Subject Feed Seventh Edition Fuel Cell Handbook NETL (2004) 118 /> Electric power high-voltage transmission lines: Design options, cost, and electric and magnetic field levels Stoffel, J.B.; Pentecost, E.D.; Roman, R.D.; Traczyk, P.A. (1994) 89 /> ASPEN Plus Simulation of CO2 Recovery Process Charles W. White III (2003) 85 /> Wet

  8. June 2015 Most Viewed Documents for Power Generation And Distribution |

    Office of Scientific and Technical Information (OSTI)

    OSTI, US Dept of Energy, Office of Scientific and Technical Information June 2015 Most Viewed Documents for Power Generation And Distribution Electric power high-voltage transmission lines: Design options, cost, and electric and magnetic field levels Stoffel, J.B.; Pentecost, E.D.; Roman, R.D.; Traczyk, P.A. (1994) 504 Wet cooling towers: rule-of-thumb design and simulation Leeper, S.A. (1981) 240 ASPEN Plus Simulation of CO2 Recovery Process Charles W. White III (2003) 160 Load flow

  9. March 2014 Most Viewed Documents for Power Generation And Distribution |

    Office of Scientific and Technical Information (OSTI)

    OSTI, US Dept of Energy, Office of Scientific and Technical Information 4 Most Viewed Documents for Power Generation And Distribution Science Subject Feed ASPEN Plus Simulation of CO2 Recovery Process Charles W. White III (2003) 112 /> Electric power high-voltage transmission lines: Design options, cost, and electric and magnetic field levels Stoffel, J.B.; Pentecost, E.D.; Roman, R.D.; Traczyk, P.A. (1994) 83 /> Seventh Edition Fuel Cell Handbook NETL (2004) 68 /> Load flow

  10. March 2015 Most Viewed Documents for Power Generation And Distribution |

    Office of Scientific and Technical Information (OSTI)

    OSTI, US Dept of Energy, Office of Scientific and Technical Information 5 Most Viewed Documents for Power Generation And Distribution Electric power high-voltage transmission lines: Design options, cost, and electric and magnetic field levels Stoffel, J.B.; Pentecost, E.D.; Roman, R.D.; Traczyk, P.A. (1994) 317 ASPEN Plus Simulation of CO2 Recovery Process Charles W. White III (2003) 254 Wet cooling towers: rule-of-thumb design and simulation Leeper, S.A. (1981) 234 Load flow analysis: Base

  11. Most Viewed Documents for Power Generation and Distribution: December 2014

    Office of Scientific and Technical Information (OSTI)

    | OSTI, US Dept of Energy, Office of Scientific and Technical Information Most Viewed Documents for Power Generation and Distribution: December 2014 Electric power high-voltage transmission lines: Design options, cost, and electric and magnetic field levels Stoffel, J.B.; Pentecost, E.D.; Roman, R.D.; Traczyk, P.A. (1994) 133 Seventh Edition Fuel Cell Handbook NETL (2004) 96 ASPEN Plus Simulation of CO2 Recovery Process Charles W. White III (2003) 84 Load flow analysis: Base cases, data,

  12. Most Viewed Documents for Power Generation and Distribution: September 2014

    Office of Scientific and Technical Information (OSTI)

    | OSTI, US Dept of Energy, Office of Scientific and Technical Information for Power Generation and Distribution: September 2014 Electric power high-voltage transmission lines: Design options, cost, and electric and magnetic field levels Stoffel, J.B.; Pentecost, E.D.; Roman, R.D.; Traczyk, P.A. (1994) 96 ASPEN Plus Simulation of CO2 Recovery Process Charles W. White III (2003) 73 Wet cooling towers: rule-of-thumb design and simulation Leeper, S.A. (1981) 70 Seventh Edition Fuel Cell Handbook

  13. December 2015 Most Viewed Documents for Power Generation And Distribution |

    Office of Scientific and Technical Information (OSTI)

    OSTI, US Dept of Energy, Office of Scientific and Technical Information December 2015 Most Viewed Documents for Power Generation And Distribution Electric power high-voltage transmission lines: Design options, cost, and electric and magnetic field levels Stoffel, J.B.; Pentecost, E.D.; Roman, R.D.; Traczyk, P.A. (1994) 740 Load flow analysis: Base cases, data, diagrams, and results Portante, E.C.; Kavicky, J.A.; VanKuiken, J.C.; Peerenboom, J.P. (1997) 224 Wet cooling towers: rule-of-thumb

  14. Time series power flow analysis for distribution connected PV generation.

    SciTech Connect (OSTI)

    Broderick, Robert Joseph; Quiroz, Jimmy Edward; Ellis, Abraham; Reno, Matthew J.; Smith, Jeff; Dugan, Roger

    2013-01-01

    Distributed photovoltaic (PV) projects must go through an interconnection study process before connecting to the distribution grid. These studies are intended to identify the likely impacts and mitigation alternatives. In the majority of the cases, system impacts can be ruled out or mitigation can be identified without an involved study, through a screening process or a simple supplemental review study. For some proposed projects, expensive and time-consuming interconnection studies are required. The challenges to performing the studies are twofold. First, every study scenario is potentially unique, as the studies are often highly specific to the amount of PV generation capacity that varies greatly from feeder to feeder and is often unevenly distributed along the same feeder. This can cause location-specific impacts and mitigations. The second challenge is the inherent variability in PV power output which can interact with feeder operation in complex ways, by affecting the operation of voltage regulation and protection devices. The typical simulation tools and methods in use today for distribution system planning are often not adequate to accurately assess these potential impacts. This report demonstrates how quasi-static time series (QSTS) simulation and high time-resolution data can be used to assess the potential impacts in a more comprehensive manner. The QSTS simulations are applied to a set of sample feeders with high PV deployment to illustrate the usefulness of the approach. The report describes methods that can help determine how PV affects distribution system operations. The simulation results are focused on enhancing the understanding of the underlying technical issues. The examples also highlight the steps needed to perform QSTS simulation and describe the data needed to drive the simulations. The goal of this report is to make the methodology of time series power flow analysis readily accessible to utilities and others responsible for evaluating potential PV impacts.

  15. Fact #844: October 27, 2014 Electricity Generated from Coal has Declined while Generation from Natural Gas has Grown

    Broader source: Energy.gov [DOE]

    From 2002 to 2012, most states have reduced their reliance on coal for electricity generation. The figure below shows the percent change in electricity generated by coal and natural gas for each...

  16. The Effect of Distributed Energy Resource Competition with Central Generation

    SciTech Connect (OSTI)

    Hadley, SW

    2003-12-10

    Distributed Energy Resource (DER) has been touted as a clean and efficient way to generate electricity at end-use sites, potentially allowing the exhaust heat to be put to good use as well. However, despite its environmental acceptability compared to many other types of generation, it has faced some disapproval because it may displace other, cleaner generation technologies. The end result could be more pollution than if the DER were not deployed. On the other hand, the DER may be competing against older power plants. If the DER is built then these other plants may be retired sooner, reducing their emissions. Or it may be that DER does not directly compete against either new or old plant capacity at the decision-maker level, and increased DER simply reduces the amount of time various plants operate. The key factor is what gets displaced if DER is added. For every kWh made by DER a kWh (or more with losses) of other production is not made. If enough DER is created, some power plants will get retired or not get built so not only their production but their capacity is displaced. Various characteristics of the power system in a region will influence how DER impacts the operation of the grid. The growth in demand in the region may influence whether new plants are postponed or old plants retired. The generation mix, including the fuel types, efficiencies, and emission characteristics of the plants in the region will factor into the overall competition. And public policies such as ease of new construction, emissions regulations, and fuel availability will also come into consideration.

  17. South Carolina Natural Gas Pipeline and Distribution Use (Million Cubic

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

    Feet) (Million Cubic Feet) South Carolina Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2,940 3,163 3,589 2000's 3,461 2,919 3,156 2,807 2,503 2,427 2,292 2,609 2,604 2,847 2010's 3,452 3,408 3,416 2,529 2,409 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  18. Tennessee Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Tennessee Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 22,559 16,440 15,208 2000's 13,808 13,757 11,480 12,785 10,486 9,182 8,696 9,988 10,238 11,720 2010's 10,081 11,655 9,880 6,660 5,913 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring

  19. Texas Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Texas Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 82,115 65,800 70,397 2000's 62,014 69,598 88,973 56,197 55,587 81,263 85,262 89,666 109,488 117,219 2010's 79,817 85,549 138,429 294,316 274,451 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  20. Utah Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Utah Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2,935 2,788 2,561 2000's 2,674 4,161 5,984 7,347 8,278 8,859 11,156 11,970 11,532 10,239 2010's 10,347 11,374 12,902 13,441 14,061 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  1. Vermont Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Vermont Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 5.25 4.00 4.17 4.00 2.80 2.64 1990's 2.85 2.86 2.96 2.89 2.89 1.05 1.09 1.09 1.40 1.86 2000's 4.39 5.09 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  2. Virginia Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Virginia Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 7,387 6,856 8,005 2000's 7,975 7,542 7,851 6,854 5,452 4,954 5,412 6,905 8,461 8,829 2010's 10,091 13,957 9,443 8,475 7,424 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  3. Washington Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Washington Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 8,836 9,087 7,645 2000's 6,036 9,053 6,356 6,527 8,822 8,174 6,554 7,402 6,605 7,497 2010's 7,587 6,644 9,184 10,144 8,933 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  4. West Virginia Natural Gas Pipeline and Distribution Use (Million Cubic

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

    Feet) (Million Cubic Feet) West Virginia Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 32,318 30,868 29,829 2000's 32,572 30,254 33,731 18,177 18,742 19,690 18,923 20,864 18,289 22,131 2010's 21,589 21,447 31,913 29,578 29,160 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  5. Wisconsin Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Wisconsin Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 4,544 4,284 4,151 2000's 4,058 2,869 3,812 3,526 3,302 3,700 3,109 2,851 2,654 1,648 2010's 2,973 2,606 1,780 2,803 3,629 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  6. Arizona Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Arizona Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 18,597 19,585 18,570 2000's 20,657 22,158 20,183 18,183 15,850 17,558 20,617 20,397 22,207 20,846 2010's 15,447 13,158 12,372 12,619 13,484 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  7. Arkansas Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Arkansas Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 11,591 10,192 8,979 2000's 8,749 8,676 7,854 8,369 7,791 8,943 10,630 10,235 9,927 9,125 2010's 9,544 11,286 10,606 11,437 11,580 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring

  8. California Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) California Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 22,493 8,587 9,341 2000's 9,698 10,913 9,610 8,670 12,969 10,775 7,023 8,994 7,744 6,386 2010's 9,741 10,276 12,906 10,471 22,897 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring

  9. Colorado Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Colorado Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 12,371 9,240 8,380 2000's 9,282 10,187 10,912 9,647 10,213 13,305 12,945 13,850 15,906 17,065 2010's 14,095 13,952 10,797 9,107 8,451 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring

  10. Connecticut Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Connecticut Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2,492 833 2,943 2000's 3,020 2,948 2,515 3,382 3,383 3,327 3,178 4,361 4,225 5,831 2010's 6,739 6,302 4,747 4,381 4,698 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  11. Delaware Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Delaware Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2.00 1.33 1980's 3.67 3.68 3.91 3.80 4.00 3.75 2.71 2.95 3.10 1990's 3.10 2.88 3.01 3.19 3.02 3.02 3.51 2.98 2.40 2.22 2000's 4.29 3.58 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  12. District of Columbia Natural Gas Pipeline and Distribution Use Price

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

    (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) District of Columbia Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3.94 4.73 4.37 4.16 3.61 3.02 2.94 3.03 1990's 2.99 2.78 2.95 2.58 2.13 1.97 3.02 2.97 2.52 2.39 2000's 4.63 5.36 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  13. Florida Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Florida Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 5,644 3,830 6,822 2000's 7,087 6,531 11,096 9,562 10,572 9,370 11,942 10,092 9,547 10,374 2010's 22,798 13,546 16,359 12,494 3,468 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring

  14. Georgia Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Georgia Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 7,973 7,606 8,846 2000's 5,636 7,411 7,979 7,268 6,235 5,708 6,092 5,188 5,986 6,717 2010's 8,473 10,432 10,509 7,973 6,977 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  15. Indiana Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Indiana Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 10,773 7,327 7,274 2000's 5,617 6,979 5,229 6,647 6,842 6,599 6,313 7,039 7,060 6,597 2010's 8,679 10,259 7,206 7,428 7,025 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  16. Kansas Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Kansas Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 39,109 32,902 31,753 2000's 29,330 25,606 36,127 33,343 28,608 28,752 25,050 24,773 23,589 26,479 2010's 24,305 23,225 19,842 22,586 22,588 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  17. North Carolina Natural Gas Pipeline and Distribution Use (Million Cubic

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

    Feet) (Million Cubic Feet) North Carolina Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 7,265 6,666 6,553 2000's 7,171 6,567 6,038 6,108 4,982 4,292 4,653 4,980 5,301 7,906 2010's 7,978 7,322 5,436 4,029 3,877 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  18. Ohio Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Ohio Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 19,453 17,641 17,441 2000's 18,490 15,502 16,215 14,872 12,757 13,356 12,233 13,740 11,219 16,575 2010's 15,816 14,258 9,559 10,035 12,661 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring

  19. Oklahoma Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Oklahoma Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 26,130 24,242 23,833 2000's 21,001 23,537 23,340 30,396 30,370 31,444 31,333 28,463 27,581 28,876 2010's 30,611 30,948 32,838 41,813 45,391 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  20. Oregon Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Oregon Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 12,481 13,345 10,242 2000's 11,775 10,990 9,117 7,098 9,707 7,264 8,238 9,532 7,354 8,073 2010's 6,394 5,044 4,554 4,098 3,686 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  1. Pennsylvania Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Pennsylvania Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 39,173 32,532 36,597 2000's 38,486 33,013 37,143 33,556 28,989 30,669 27,406 34,849 37,223 41,417 2010's 47,470 51,220 37,176 37,825 36,323 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  2. Kentucky Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Kentucky Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 22,854 15,750 16,632 2000's 13,826 14,912 11,993 14,279 10,143 8,254 6,510 11,885 12,957 12,558 2010's 13,708 12,451 8,604 7,157 8,426 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring

  3. Louisiana Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Louisiana Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 71,523 60,400 48,214 2000's 50,647 48,257 50,711 47,019 44,963 41,812 47,979 52,244 53,412 49,937 2010's 46,892 51,897 49,235 36,737 45,762 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  4. Maryland Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Maryland Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 3,124 2,968 3,207 2000's 3,239 2,765 2,511 2,743 2,483 2,173 2,346 2,339 2,454 2,521 2010's 6,332 6,065 7,397 4,125 6,327 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  5. Massachusetts Natural Gas Pipeline and Distribution Use (Million Cubic

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

    Feet) (Million Cubic Feet) Massachusetts Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2,356 1,903 2,655 2000's 2,391 3,187 4,222 1,988 1,755 1,810 1,499 1,737 1,157 1,093 2010's 3,827 4,657 3,712 2,759 6,258 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  6. Michigan Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Michigan Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 23,776 20,733 22,355 2000's 26,359 22,036 26,685 27,129 27,198 27,742 25,532 25,961 23,518 23,468 2010's 24,904 23,537 20,496 18,713 19,347 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  7. Mississippi Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Mississippi Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 44,979 36,329 31,594 2000's 30,895 30,267 26,997 26,003 21,869 21,496 22,131 27,316 28,677 28,951 2010's 28,117 28,828 48,497 23,667 19,787 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  8. Missouri Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Missouri Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 7,456 5,495 6,744 2000's 7,558 1,918 2,555 3,003 3,237 2,556 2,407 2,711 7,211 3,892 2010's 5,820 7,049 4,973 5,626 6,184 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  9. Nebraska Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Nebraska Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 4,084 2,853 2,922 2000's 3,140 3,021 2,611 5,316 3,983 4,432 4,507 5,373 9,924 6,954 2010's 7,329 9,270 7,602 6,949 7,066 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  10. Nevada Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Nevada Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.46 1980's 3.26 3.73 4.32 4.53 4.35 3.88 3.20 2.16 2.14 2.14 1990's 1.70 1.74 1.77 1.79 1.87 1.79 1.35 2.09 1.98 2.22 2000's 3.65 3.66 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  11. Alabama Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Alabama Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 20,689 19,948 22,109 2000's 22,626 19,978 21,760 18,917 15,911 14,982 14,879 15,690 16,413 18,849 2010's 22,124 23,091 25,349 22,166 18,688 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  12. Alaska Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Alaska Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 0.26 0.27 0.28 0.28 0.30 0.35 0.57 0.58 0.50 0.14 1980's 0.73 1.13 0.60 0.86 0.61 0.63 0.61 0.65 1.01 1.13 1990's 1.08 1.32 1.12 1.11 1.11 1.24 1.17 1.34 1.23 0.82 2000's 1.34 1.84 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  13. Wyoming Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Wyoming Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 10,461 11,535 13,736 2000's 14,092 13,161 13,103 14,312 12,545 14,143 13,847 14,633 17,090 19,446 2010's 20,807 17,898 16,660 15,283 14,990 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  14. SOLID OXIDE FUEL CELL HYBRID SYSTEM FOR DISTRIBUTED POWER GENERATION

    SciTech Connect (OSTI)

    Kurt Montgomery; Nguyen Minh

    2003-08-01

    This report summarizes the work performed by Honeywell during the October 2001 to December 2001 reporting period under Cooperative Agreement DE-FC26-01NT40779 for the U. S. Department of Energy, National Energy Technology Laboratory (DOE/NETL) entitled ''Solid Oxide Fuel Cell Hybrid System for Distributed Power Generation''. The main objective of this project is to develop and demonstrate the feasibility of a highly efficient hybrid system integrating a planar Solid Oxide Fuel Cell (SOFC) and a turbogenerator. The conceptual and demonstration system designs were proposed and analyzed, and these systems have been modeled in Aspen Plus. Work has also started on the assembly of dynamic component models and the development of the top-level controls requirements for the system. SOFC stacks have been fabricated and performance mapping initiated.

  15. Distributed generation capabilities of the national energy modeling system

    SciTech Connect (OSTI)

    LaCommare, Kristina Hamachi; Edwards, Jennifer L.; Marnay, Chris

    2003-01-01

    This report describes Berkeley Lab's exploration of how the National Energy Modeling System (NEMS) models distributed generation (DG) and presents possible approaches for improving how DG is modeled. The on-site electric generation capability has been available since the AEO2000 version of NEMS. Berkeley Lab has previously completed research on distributed energy resources (DER) adoption at individual sites and has developed a DER Customer Adoption Model called DER-CAM. Given interest in this area, Berkeley Lab set out to understand how NEMS models small-scale on-site generation to assess how adequately DG is treated in NEMS, and to propose improvements or alternatives. The goal is to determine how well NEMS models the factors influencing DG adoption and to consider alternatives to the current approach. Most small-scale DG adoption takes place in the residential and commercial modules of NEMS. Investment in DG ultimately offsets purchases of electricity, which also eliminates the losses associated with transmission and distribution (T&D). If the DG technology that is chosen is photovoltaics (PV), NEMS assumes renewable energy consumption replaces the energy input to electric generators. If the DG technology is fuel consuming, consumption of fuel in the electric utility sector is replaced by residential or commercial fuel consumption. The waste heat generated from thermal technologies can be used to offset the water heating and space heating energy uses, but there is no thermally activated cooling capability. This study consists of a review of model documentation and a paper by EIA staff, a series of sensitivity runs performed by Berkeley Lab that exercise selected DG parameters in the AEO2002 version of NEMS, and a scoping effort of possible enhancements and alternatives to NEMS current DG capabilities. In general, the treatment of DG in NEMS is rudimentary. The penetration of DG is determined by an economic cash-flow analysis that determines adoption based on the n umber of years to a positive cash flow. Some important technologies, e.g. thermally activated cooling, are absent, and ceilings on DG adoption are determined by some what arbitrary caps on the number of buildings that can adopt DG. These caps are particularly severe for existing buildings, where the maximum penetration for any one technology is 0.25 percent. On the other hand, competition among technologies is not fully considered, and this may result in double-counting for certain applications. A series of sensitivity runs show greater penetration with net metering enhancements and aggressive tax credits and a more limited response to lowered DG technology costs. Discussion of alternatives to the current code is presented in Section 4. Alternatives or improvements to how DG is modeled in NEMS cover three basic areas: expanding on the existing total market for DG both by changing existing parameters in NEMS and by adding new capabilities, such as for missing technologies; enhancing the cash flow analysis but incorporating aspects of DG economics that are not currently represented, e.g. complex tariffs; and using an external geographic information system (GIS) driven analysis that can better and more intuitively identify niche markets.

  16. Illinois Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Illinois Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.21 0.20 0.20 1970's 0.21 0.22 0.23 0.27 0.29 0.54 0.58 0.83 0.98 1.11 1980's 1.78 2.12 2.56 3.07 2.88 2.97 2.73 2.68 2.53 2.17 1990's 2.06 2.29 2.44 1.97 1.88 1.66 2.63 2.68 2.27 2.48 2000's 3.12 3.94 NA -- -- -- - = No Data

  17. A Model of U.S. Commercial Distributed Generation Adoption

    SciTech Connect (OSTI)

    LaCommare, Kristina Hamachi; Ryan Firestone; Zhou, Nan; Maribu,Karl; Marnay, Chris

    2006-01-10

    Small-scale (100 kW-5 MW) on-site distributed generation (DG) economically driven by combined heat and power (CHP) applications and, in some cases, reliability concerns will likely emerge as a common feature of commercial building energy systems over the next two decades. Forecasts of DG adoption published by the Energy Information Administration (EIA) in the Annual Energy Outlook (AEO) are made using the National Energy Modeling System (NEMS), which has a forecasting module that predicts the penetration of several possible commercial building DG technologies over the period 2005-2025. NEMS is also used for estimating the future benefits of Department of Energy research and development used in support of budget requests and management decisionmaking. The NEMS approach to modeling DG has some limitations, including constraints on the amount of DG allowed for retrofits to existing buildings and a small number of possible sizes for each DG technology. An alternative approach called Commercial Sector Model (ComSeM) is developed to improve the way in which DG adoption is modeled. The approach incorporates load shapes for specific end uses in specific building types in specific regions, e.g., cooling in hospitals in Atlanta or space heating in Chicago offices. The Distributed Energy Resources Customer Adoption Model (DER-CAM) uses these load profiles together with input cost and performance DG technology assumptions to model the potential DG adoption for four selected cities and two sizes of five building types in selected forecast years to 2022. The Distributed Energy Resources Market Diffusion Model (DER-MaDiM) is then used to then tailor the DER-CAM results to adoption projections for the entire U.S. commercial sector for all forecast years from 2007-2025. This process is conducted such that the structure of results are consistent with the structure of NEMS, and can be re-injected into NEMS that can then be used to integrate adoption results into a full forecast.

  18. Tennessee Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Tennessee Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.20 0.20 0.20 1970's 0.20 0.22 0.23 0.24 0.28 0.36 0.49 0.73 0.89 1.26 1980's 1.73 2.25 2.96 3.19 2.94 3.01 2.29 1.85 1.78 1.97 1990's 1.94 2.61 2.44 2.23 1.88 1.59 2.57 2.52 2.17 2.04 2000's 3.44 4.13 NA -- -- -- - = No Data Reported; -- = Not Applicable;

  19. Virginia Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Virginia Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.20 0.20 0.20 1970's 0.20 0.22 0.27 0.28 0.31 0.38 0.53 0.81 1.49 1.40 1980's 2.09 2.81 3.33 3.59 3.49 3.35 3.37 2.68 2.59 2.63 1990's 2.05 1.86 1.93 2.27 2.14 1.83 2.60 3.22 2.59 2.20 2000's 2.66 5.05 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA

  20. Washington Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Washington Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.22 0.21 0.22 1970's 0.22 0.24 0.28 0.33 0.44 0.65 0.78 1.67 1.92 2.38 1980's 3.92 4.34 4.72 3.98 3.72 3.12 2.52 2.11 1.99 2.06 1990's 2.04 1.98 1.89 1.37 1.84 1.78 1.77 1.89 1.76 2.03 2000's 3.07 2.82 NA -- -- -- - = No Data Reported; -- = Not Applicable;

  1. Wisconsin Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Wisconsin Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.26 0.23 0.23 1970's 0.25 0.25 0.26 0.27 0.30 0.44 0.54 1.74 2.09 1.61 1980's 4.50 2.83 3.53 3.52 3.52 3.30 2.79 2.29 2.12 2.04 1990's 2.14 1.31 1.26 0.96 1.36 0.36 1.20 1.16 0.95 2.56 2000's 3.32 3.67 NA -- -- -- - = No Data Reported; -- = Not Applicable;

  2. Arizona Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Arizona Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.15 0.15 0.15 1970's 0.17 0.17 0.19 0.22 0.28 0.36 0.44 0.64 0.75 1.29 1980's 1.62 2.22 2.86 3.16 2.83 2.79 2.22 1.49 1.79 1.50 1990's 1.65 1.26 1.25 1.68 1.28 1.19 1.80 2.20 1.90 2.08 2000's 3.61 3.96 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA

  3. Arkansas Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Arkansas Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.18 0.18 0.18 1970's 0.19 0.22 0.24 0.26 0.30 0.43 0.52 0.71 0.86 1.12 1980's 1.78 2.12 2.63 2.94 2.97 2.78 2.46 2.64 2.07 2.30 1990's 2.17 2.06 1.78 1.64 1.61 1.45 2.41 2.42 1.58 1.38 2000's 2.41 4.09 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA

  4. California Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) California Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.25 0.24 0.30 1970's 0.29 0.35 0.35 0.39 0.45 0.47 0.69 0.73 0.85 1.75 1980's 2.16 2.90 3.30 4.14 4.13 3.70 3.56 3.02 2.55 2.39 1990's 2.40 2.19 1.40 0.53 0.33 1.01 1.63 1.47 1.93 2.08 2000's 3.62 4.70 NA -- -- -- - = No Data Reported; -- = Not Applicable;

  5. Colorado Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Colorado Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.17 0.17 0.17 1970's 0.18 0.19 0.21 0.22 0.27 0.49 0.72 1.00 1.31 1.53 1980's 2.17 2.58 2.78 2.78 2.81 2.62 2.71 2.57 2.24 1.75 1990's 1.75 1.79 1.89 1.86 1.78 1.45 1.97 2.44 1.98 1.66 2000's 3.89 3.86 NA -- -- - = No Data Reported; -- = Not Applicable; NA =

  6. Connecticut Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Connecticut Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.35 0.68 0.30 1970's 0.32 0.32 0.35 0.40 0.50 0.58 0.59 1.50 2.60 2.53 1980's 2.76 2.94 3.53 3.30 3.18 3.71 2.53 2.52 2.13 2.97 1990's 3.68 3.08 2.95 3.53 2.62 2.20 3.50 1.54 3.00 0.59 2000's 4.82 4.93 NA -- -- -- - = No Data Reported; -- = Not Applicable;

  7. Florida Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Florida Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.19 0.18 0.20 1970's 1.98 0.21 0.24 0.30 0.34 0.36 0.49 0.72 0.85 1.35 1980's 1.77 2.38 2.58 2.65 2.90 2.80 1.79 2.11 1.85 2.00 1990's 2.17 2.11 2.06 2.85 1.50 1.55 2.37 2.38 2.38 2.33 2000's 3.81 3.45 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA

  8. Georgia Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Georgia Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.19 0.19 0.19 1970's 0.20 0.22 0.23 0.25 0.28 0.32 0.36 0.67 0.90 1.35 1980's 2.10 2.78 3.11 3.22 3.26 3.23 3.32 2.50 2.41 2.69 1990's 2.19 2.08 2.08 2.24 2.14 1.93 2.62 3.09 2.48 2.18 2000's 3.30 4.57 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA

  9. Indiana Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Indiana Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.20 0.21 0.21 1970's 0.21 0.23 0.25 0.27 0.28 0.38 0.45 0.81 0.86 1.21 1980's 1.73 2.18 2.91 3.21 3.02 3.11 2.78 2.52 2.69 2.17 1990's 2.17 2.46 2.51 1.38 1.03 1.05 2.47 2.58 2.27 2.16 2000's 3.69 4.18 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA

  10. Kansas Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Kansas Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.16 0.17 0.17 1970's 0.18 0.19 0.23 0.24 0.27 0.33 0.41 0.51 0.61 1.14 1980's 1.57 1.95 2.45 2.76 2.71 2.55 2.29 2.05 2.14 1.80 1990's 1.59 1.69 5.24 1.56 1.20 1.15 1.83 1.81 1.39 1.65 2000's 2.57 3.01 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA =

  11. Oklahoma Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Oklahoma Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.15 0.15 1.65 1970's 0.18 0.18 0.19 0.22 0.26 0.27 0.36 0.58 0.66 0.99 1980's 1.45 1.83 2.53 2.75 2.71 2.48 2.30 2.06 2.10 1.83 1990's 1.85 1.62 1.79 1.72 1.64 1.36 2.12 2.34 1.90 2.04 2000's 3.49 3.21 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA

  12. Oregon Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Oregon Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.22 0.21 0.22 1970's 0.22 0.32 0.28 0.35 0.47 0.61 0.82 1.77 1.98 2.53 1980's 4.41 4.75 4.90 4.19 3.90 3.13 2.35 2.00 1.90 2.09 1990's 2.16 2.32 2.16 1.71 1.86 1.77 1.77 1.80 1.84 1.98 2000's 2.74 2.91 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA =

  13. Pennsylvania Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Pennsylvania Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.25 0.24 0.24 1970's 0.25 0.29 0.31 0.32 0.40 0.54 0.60 0.92 0.94 1.42 1980's 1.89 2.34 3.02 3.20 3.09 3.06 2.63 2.38 2.36 2.35 1990's 2.57 2.41 2.41 2.83 2.47 2.00 2.71 2.72 2.08 1.97 2000's 3.59 4.76 NA -- -- -- - = No Data Reported; -- = Not

  14. Kentucky Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Kentucky Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.33 0.27 0.23 1970's 0.20 0.22 0.24 0.25 0.29 0.37 0.48 0.60 0.57 1.26 1980's 1.67 2.18 2.85 3.05 2.93 2.89 2.44 1.97 1.77 2.00 1990's 2.12 2.35 2.51 2.67 1.95 1.83 2.63 2.51 2.45 2.11 2000's 3.27 3.96 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA

  15. Louisiana Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Louisiana Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.19 0.19 0.05 1970's 0.20 0.21 0.23 0.24 0.28 0.39 0.50 0.81 0.96 1.30 1980's 1.81 2.36 2.91 3.13 3.00 2.90 2.48 1.97 1.96 2.07 1990's 1.98 2.25 2.25 2.40 1.44 1.61 2.58 2.59 2.22 1.98 2000's 3.10 3.76 NA -- -- - = No Data Reported; -- = Not Applicable; NA =

  16. Maryland Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Maryland Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.20 0.19 0.19 1970's 0.19 0.22 0.24 0.25 0.27 0.38 0.50 0.69 0.84 1.25 1980's 2.41 2.74 3.08 3.28 3.29 3.17 3.19 2.37 2.27 2.72 1990's 2.15 1.94 1.94 2.08 2.01 1.81 2.48 2.98 2.41 2.30 2000's 3.30 4.75 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA

  17. Massachusetts Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Massachusetts Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.23 0.26 0.25 1970's 0.32 0.36 0.37 0.38 0.40 0.42 0.62 0.68 0.94 1.24 1980's 1.65 2.30 4.29 4.11 3.36 3.60 3.22 2.14 2.46 2.71 1990's 2.67 2.79 2.91 2.71 2.13 2.00 2.74 2.67 2.27 1.86 2000's 2.14 3.06 NA -- -- -- - = No Data Reported; -- = Not

  18. Michigan Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Michigan Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.27 0.27 0.27 1970's 0.27 0.28 0.29 0.35 0.46 0.56 0.71 0.98 1.67 1.60 1980's 2.98 3.73 3.63 3.86 3.95 3.54 2.95 2.64 2.39 2.03 1990's 1.86 0.50 0.57 0.26 0.20 0.54 1.04 0.95 0.69 0.78 2000's 1.32 1.76 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA

  19. Mississippi Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Mississippi Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.19 0.20 0.19 1970's 0.20 0.21 0.23 0.24 0.28 0.36 0.46 0.73 0.88 1.28 1980's 1.75 2.34 2.91 3.06 2.94 2.92 2.44 1.99 1.87 2.09 1990's 2.11 2.33 2.34 2.37 1.98 1.82 2.63 2.62 2.33 2.19 2000's 3.37 4.28 NA -- -- - = No Data Reported; -- = Not Applicable; NA

  20. Missouri Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Missouri Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.20 0.20 0.20 1970's 0.21 0.23 0.25 0.26 0.29 0.39 0.48 0.80 0.87 1.20 1980's 1.71 2.12 2.81 3.04 2.92 2.86 2.61 2.41 2.78 1.94 1990's 1.77 2.05 2.31 2.01 0.91 1.19 2.34 2.43 2.02 2.14 2000's 2.48 4.86 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA

  1. Montana Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Montana Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.12 0.11 0.11 1970's 0.11 0.12 0.17 0.21 0.23 0.42 0.46 0.73 0.83 1.16 1980's 1.29 1.90 2.87 3.00 3.04 2.51 2.28 1.86 1.65 1.57 1990's 1.75 1.76 1.63 2.15 1.53 1.16 1.44 1.77 1.72 2.12 2000's 2.96 2.48 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA

  2. Nebraska Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Nebraska Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.14 0.15 0.15 1970's 0.16 0.16 0.18 0.19 0.24 0.32 0.42 0.57 0.73 1.10 1980's 1.36 1.81 2.35 2.56 2.55 2.51 2.40 2.20 1.77 1.86 1990's 1.70 1.43 1.54 1.79 1.34 1.33 2.10 2.54 2.01 1.96 2000's 2.81 3.56 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA

  3. Alabama Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Alabama Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.19 0.20 0.20 1970's 0.20 0.22 0.23 0.26 0.29 0.32 0.47 0.72 1.10 1.32 1980's 1.84 2.59 3.00 3.10 3.15 3.12 3.11 2.37 2.30 2.60 1990's 2.17 3.02 2.24 2.34 2.13 1.93 2.63 2.95 2.55 2.21 2000's 3.13 4.90 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA

  4. Wyoming Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Wyoming Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.14 0.16 0.16 1970's 0.17 0.17 0.18 0.24 0.24 0.51 0.65 0.69 1.36 1.59 1980's 2.05 2.51 2.91 3.05 2.99 2.76 2.56 2.36 2.06 1.88 1990's 1.95 1.85 2.48 1.92 1.52 1.31 1.54 1.84 1.86 1.87 2000's 3.21 3.04 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA

  5. Fuel cell power plants in a distributed generator application

    SciTech Connect (OSTI)

    Smith, M.J.

    1996-12-31

    ONSI`s (a subsidiary of International Fuel Cells Corporation) world wide fleet of 200-kW PC25{trademark} phosphoric acid fuel cell power plants which began operation early in 1992 has shown excellent performance and reliability in over 1 million hours of operation. This experience has verified the clean, quiet, reliable operation of the PC25 and confirmed its application as a distributed generator. Continuing product development efforts have resulted in a one third reduction of weight and volume as well as improved installation and operating characteristics for the PC25 C model. Delivery of this unit began in 1995. International Fuel Cells (IFC) continues its efforts to improve product design and manufacturing processes. This progress has been sustained at a compounded rate of 10 percent per year since the late 1980`s. These improvements will permit further reductions in the initial cost of the power plant and place increased emphasis on market development as the pacing item in achieving business benefits from the PC25 fuel cell. Derivative product opportunities are evolving with maturation of the technologies in a commercial environment. The recent announcement of Praxair, Inc., and IFC introducing a non-cryogenic hydrogen supply system utilizing IFC`s steam reformer is an example. 11 figs.

  6. GREENHOUSE GAS REDUCTION POTENTIAL WITH COMBINED HEAT AND POWER WITH DISTRIBUTED GENERATION PRIME MOVERS - ASME 2012

    SciTech Connect (OSTI)

    Curran, Scott; Theiss, Timothy J; Bunce, Michael

    2012-01-01

    Pending or recently enacted greenhouse gas regulations and mandates are leading to the need for current and feasible GHG reduction solutions including combined heat and power (CHP). Distributed generation using advanced reciprocating engines, gas turbines, microturbines and fuel cells has been shown to reduce greenhouse gases (GHG) compared to the U.S. electrical generation mix due to the use of natural gas and high electrical generation efficiencies of these prime movers. Many of these prime movers are also well suited for use in CHP systems which recover heat generated during combustion or energy conversion. CHP increases the total efficiency of the prime mover by recovering waste heat for generating electricity, replacing process steam, hot water for buildings or even cooling via absorption chilling. The increased efficiency of CHP systems further reduces GHG emissions compared to systems which do not recover waste thermal energy. Current GHG mandates within the U.S Federal sector and looming GHG legislation for states puts an emphasis on understanding the GHG reduction potential of such systems. This study compares the GHG savings from various state-of-the- art prime movers. GHG reductions from commercially available prime movers in the 1-5 MW class including, various industrial fuel cells, large and small gas turbines, micro turbines and reciprocating gas engines with and without CHP are compared to centralized electricity generation including the U.S. mix and the best available technology with natural gas combined cycle power plants. The findings show significant GHG saving potential with the use of CHP. Also provided is an exploration of the accounting methodology for GHG reductions with CHP and the sensitivity of such analyses to electrical generation efficiency, emissions factors and most importantly recoverable heat and thermal recovery efficiency from the CHP system.

  7. The Potential Benefits of Distributed Generation and the Rate-Related

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

    Issues That May Impede Its Expansion | Department of Energy The Potential Benefits of Distributed Generation and the Rate-Related Issues That May Impede Its Expansion The Potential Benefits of Distributed Generation and the Rate-Related Issues That May Impede Its Expansion The Potential Benefits of Distributed Generation and the Rate-Related Issues That May Impede Its Expansion. Report Pursuant to Section 1817 of the Energy Policy Act of 2005. PDF icon The Potential Benefits of Distributed

  8. Natural Oils - The Next Generation of Diesel Engine Lubricants...

    Energy Savers [EERE]

    Oils - The Next Generation of Diesel Engine Lubricants? JOE PEREZ 1 & SHAWN WHITACRE 2 1 The ... TEST PURPOSE COMMENT BOSCH INJECTOR HIGH TEMPERATURE - HIGH SHEAR BOSCH INJECTOR SHEAR ...

  9. Greenhouse Gas Abatement with Distributed Generation in California's Commercial Buildings

    SciTech Connect (OSTI)

    Stadler, Michael; Marnay, Chris; Cardoso, Goncalo; Megel, Olivier; Siddiqui, Afzal; Lai, Judy

    2009-08-15

    Lawrence Berkeley National Laboratory (LBL) is working with the California Energy Commission (CEC) to determine the role of distributed generation (DG) in greenhouse gas reductions. The impact of DG on large industrial sites is well known, and mostly, the potentials are already harvested. In contrast, little is known about the impact of DG on commercial buildings with peak electric loads ranging from 100 kW to 5 MW. We examine how DG with combined heat and power (CHP) may be implemented within the context of a cost minimizing microgrid that is able to adopt and operate various smart energy technologies, such as thermal and photovoltaic (PV) on-site generation, heat exchangers, solar thermal collectors, absorption chillers, and storage systems. We use a mixed-integer linear program (MILP) that has the minimization of a site's annual energy costs as objective. Using 138 representative commercial sites in California (CA) with existing tariff rates and technology data, we find the greenhouse gas reduction potential for California's commercial sector. This paper shows results from the ongoing research project and finished work from a two year U.S. Department of Energy research project. To show the impact of the different technologies on CO2 emissions, several sensitivity runs for different climate zones within CA with different technology performance expectations for 2020 were performed. The considered sites can contribute between 1 Mt/a and 1.8 Mt/a to the California Air Resources Board (CARB) goal of 6.7Mt/a CO2 abatement potential in 2020. Also, with lower PV and storage costs as well as consideration of a CO2 pricing scheme, our results indicate that PV and electric storage adoption can compete rather than supplement each other when the tariff structure and costs of electricity supply have been taken into consideration. To satisfy the site's objective of minimizing energy costs, the batteries will be charged also by CHP systems during off-peak and mid-peak hours and not only by PV during sunny on-peak hours.

  10. ARPA-E Announces $30 Million for Distributed Generation Technologies

    Broader source: Energy.gov [DOE]

    REBELS Program Aims to Develop Innovative Intermediate-Temperature Fuel Cells for Low-Cost Stationary Power Generation

  11. Next Generation * Natural Gas (NG)2 Information Requirements--Executive Summary

    Reports and Publications (EIA)

    2000-01-01

    The Energy Information Administration (EIA) has initiated the Next Generation * Natural Gas (NG)2 project to design and implement a new and comprehensive information program for natural gas to meet customer requirements in the post-2000 time frame.

  12. Method and apparatus for anti-islanding protection of distributed generations

    DOE Patents [OSTI]

    Ye, Zhihong; John, Vinod; Wang, Changyong; Garces, Luis Jose; Zhou, Rui; Li, Lei; Walling, Reigh Allen; Premerlani, William James; Sanza, Peter Claudius; Liu, Yan; Dame, Mark Edward

    2006-03-21

    An apparatus for anti-islanding protection of a distributed generation with respect to a feeder connected to an electrical grid is disclosed. The apparatus includes a sensor adapted to generate a voltage signal representative of an output voltage and/or a current signal representative of an output current at the distributed generation, and a controller responsive to the signals from the sensor. The controller is productive of a control signal directed to the distributed generation to drive an operating characteristic of the distributed generation out of a nominal range in response to the electrical grid being disconnected from the feeder.

  13. Distributed Generation Study/Elgin Community College | Open Energy...

    Open Energy Info (EERE)

    Prime Mover Waukesha VHP5108GL Heat Recovery Systems Beaird Maxim Model TRP-12 Fuel Natural Gas System Installer Morse Electric Company System Enclosure Indoor System...

  14. Distributed Generation Study/SUNY Buffalo | Open Energy Information

    Open Energy Info (EERE)

    Technology Microturbine Prime Mover Capstone C60 Heat Recovery Systems Built-in Fuel Natural Gas System Installer Gerster Trane System Enclosure Outdoor System Application...

  15. Distributed Generation Study/Sea Rise 2 | Open Energy Information

    Open Energy Info (EERE)

    Engine Prime Mover Coast Intelligen CI60 Heat Recovery Systems Built-in Fuel Natural Gas System Installer Grenadier Realty System Enclosure Indoor System Application...

  16. Distributed Generation Study/Hudson Valley Community College...

    Open Energy Info (EERE)

    G3516, Caterpillar DM5498, Caterpillar DM7915 Heat Recovery Systems Built-in Fuel Natural Gas System Installer Siemens Building Technologies System Enclosure Dedicated Shelter...

  17. Distributed Generation Study/Tudor Gardens | Open Energy Information

    Open Energy Info (EERE)

    Combustion Engine Prime Mover Tecogen CM-75 Heat Recovery Systems Built-in Fuel Natural Gas System Installer Aegis Energy System Enclosure Indoor System Application Combined...

  18. Distributed Generation Study/Sea Rise 1 | Open Energy Information

    Open Energy Info (EERE)

    Engine Prime Mover Coast Intelligen CI60 Heat Recovery Systems Built-in Fuel Natural Gas System Installer Grenadier Realty System Enclosure Indoor System Application...

  19. Distributed Generation Study/Wyoming County Community Hospital...

    Open Energy Info (EERE)

    Combustion Engine Prime Mover Waukesha VGF L36GSID Heat Recovery Systems Built-in Fuel Natural Gas System Installer Gerster Trane System Enclosure Indoor System Application...

  20. Distributed Generation Study/Waldbaums Supermarket | Open Energy...

    Open Energy Info (EERE)

    Technology Microturbine Prime Mover Capstone C60 Heat Recovery Systems Unifin HX Fuel Natural Gas System Installer CDH Energy Corp. System Enclosure Outdoor System Application...

  1. Distributed Generation Study/Arrow Linen | Open Energy Information

    Open Energy Info (EERE)

    Prime Mover Coast Intelligen 150-IC with ECS Heat Recovery Systems Built-in Fuel Natural Gas System Installer Energy Concepts System Enclosure Outdoor System Application...

  2. Distributed Generation Study/Oakwood Health Care Center | Open...

    Open Energy Info (EERE)

    Combustion Engine Prime Mover Waukesha VGF 18GLD Heat Recovery Systems Built-in Fuel Natural Gas System Installer Gerster Trane System Enclosure Indoor System Application...

  3. Distributed Generation Study/VIP Country Club | Open Energy Informatio...

    Open Energy Info (EERE)

    Technology Microturbine Prime Mover Capstone C60 Heat Recovery Systems Built-in Fuel Natural Gas System Installer Advanced Power Systems System Enclosure Indoor System...

  4. Distributed Generation Study/Floyd Bennett | Open Energy Information

    Open Energy Info (EERE)

    Technology Microturbine Prime Mover Capstone C60 Heat Recovery Systems Built-in Fuel Natural Gas System Installer Montreal Construction System Enclosure Outdoor System...

  5. Distributed Generation Study/Dakota Station (Minnegasco) | Open...

    Open Energy Info (EERE)

    Study Technology Microturbine Prime Mover Capstone C30 Heat Recovery Systems Unifin Fuel Natural Gas System Installer Capstone Turbine Corp System Enclosure Outdoor System...

  6. Distributed Generation Study/Harbec Plastics | Open Energy Information

    Open Energy Info (EERE)

    Technology Microturbine Prime Mover Capstone C30 Heat Recovery Systems Built-in Fuel Natural Gas System Installer Northern Development System Enclosure Indoor System...

  7. Distributed Hydrogen Production from Natural Gas: Independent Review Panel Report

    Office of Energy Efficiency and Renewable Energy (EERE)

    Independent review report on the available information concerning the technologies needed for forecourts producing 150 kg/day of hydrogen from natural gas.

  8. Distributed Hydrogen Production from Natural Gas: Independent Review

    SciTech Connect (OSTI)

    Fletcher, J.; Callaghan, V.

    2006-10-01

    Independent review report on the available information concerning the technologies needed for forecourts producing 150 kg/day of hydrogen from natural gas.

  9. Future of Distributed Generation and IEEE 1547 (Presentation)

    SciTech Connect (OSTI)

    Preus, R.

    2014-06-01

    This presentation discusses the background on IEEE 1547, including its purpose, changes, new boundary issues and requirements, islanding issues, and how it impacts distributed wind.

  10. June 2014 Most Viewed Documents for Power Generation And Distribution...

    Office of Scientific and Technical Information (OSTI)

    of Geothermal Electric Projects Entingh, Daniel J. (1993) 35 > PYRAMID LAKE RENEWEABLE ENERGY PLAN HIGH DESERT GEOCULTURE, LLC (2009) 33 > Next Generation Geothermal Power ...

  11. March 2014 Most Viewed Documents for Power Generation And Distribution...

    Office of Scientific and Technical Information (OSTI)

    S.A. (1981) 48 > Employment Impacts of Geothermal Electric Projects Entingh, Daniel J. (1993) 27 > Next Generation Geothermal Power Plants Brugman, John; Hattar, Mai; ...

  12. Distribution of Natural Gas: The Final Step in the Transmission Process

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

    June 2008 1 Each day, close to 70 million customers in the United States depend upon the national natural gas distribution network, including natural gas distribution companies and pipelines, to deliver natural gas to their home or place of business (Figure 1). These customers currently consume approximately 20 trillion cubic feet (Tcf) of natural gas per annum, accounting for about 22 percent of the total energy consumed in the United States each year. This end- use customer base is 92 percent

  13. The Value of Distributed Generation and CHP Resources in Wholesale Power

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

    Markets, September 2005 | Department of Energy The Value of Distributed Generation and CHP Resources in Wholesale Power Markets, September 2005 The Value of Distributed Generation and CHP Resources in Wholesale Power Markets, September 2005 Distributed generation and combined heat and power (DG/CHP) projects are usually considered as resources for the benefit of the electricity consumer not the utility power system. This report evaluates DG/CHP as wholesale power resources, installed on the

  14. Distributed Generation Study/10 West 66th Street Corp | Open...

    Open Energy Info (EERE)

    Prime Mover Ingersoll Rand I-R PowerWorks 70 Heat Recovery Systems Built-in Fuel Natural Gas System Installer DSM Engineering System Enclosure Indoor System Application...

  15. Distributed Generation Study/615 kW Waukesha Packaged System...

    Open Energy Info (EERE)

    PHE-Type SL140-TM-EE-190, Sondex PHE-Type SL140-TM-EE-150, Cain UTR1-810A17.5SSP Fuel Natural Gas System Installer GTI System Enclosure Outdoor System Application Combined Heat...

  16. Distributed Generation Dispatch Optimization under VariousElectricity Tariffs

    SciTech Connect (OSTI)

    Firestone, Ryan; Marnay, Chris

    2007-05-01

    The on-site generation of electricity can offer buildingowners and occupiers financial benefits as well as social benefits suchas reduced grid congestion, improved energy efficiency, and reducedgreenhouse gas emissions. Combined heat and power (CHP), or cogeneration,systems make use of the waste heat from the generator for site heatingneeds. Real-time optimal dispatch of CHP systems is difficult todetermine because of complicated electricity tariffs and uncertainty inCHP equipment availability, energy prices, and system loads. Typically,CHP systems use simple heuristic control strategies. This paper describesa method of determining optimal control in real-time and applies it to alight industrial site in San Diego, California, to examine: 1) the addedbenefit of optimal over heuristic controls, 2) the price elasticity ofthe system, and 3) the site-attributable greenhouse gas emissions, allunder three different tariff structures. Results suggest that heuristiccontrols are adequate under the current tariff structure and relativelyhigh electricity prices, capturing 97 percent of the value of thedistributed generation system. Even more value could be captured bysimply not running the CHP system during times of unusually high naturalgas prices. Under hypothetical real-time pricing of electricity,heuristic controls would capture only 70 percent of the value ofdistributed generation.

  17. City of San Marcos- Distributed Generation Rebate Program

    Broader source: Energy.gov [DOE]

    Qualifying Solar PV systems are eligible for a $2.50 per Watt (W) rebate up to $5,000. Qualifying Wind Generation systems are eligible for a $1.00 per W rebate up to $5,000. Neither rebate amount...

  18. Onsite Distributed Generation Systems For Laboratories, Laboratories for the 21st Century: Best Practices (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2011-09-01

    This guide provides general information on implementing onsite distributed generation systems in laboratory environments. Specific technology applications, general performance information, and cost data are provided to educate and encourage laboratory energy managers to consider onsite power generation or combined heat and power (CHP) systems for their facilities. After conducting an initial screening, energy managers are encouraged to conduct a detailed feasibility study with actual cost and performance data for technologies that look promising. Onsite distributed generation systems are small, modular, decentralized, grid-connected, or off-grid energy systems. These systems are located at or near the place where the energy is used. These systems are also known as distributed energy or distributed power systems. DG technologies are generally considered those that produce less than 20 megawatts (MW) of power. A number of technologies can be applied as effective onsite DG systems, including: (1) Diesel, natural gas, and dual-fuel reciprocating engines; (2) Combustion turbines and steam turbines; (3) Fuel cells; (4) Biomass heating; (5) Biomass combined heat and power; (6) Photovoltaics; and (7) Wind turbines. These systems can provide a number of potential benefits to an individual laboratory facility or campus, including: (1) High-quality, reliable, and potentially dispatchable power; (2) Low-cost energy and long-term utility cost assurance, especially where electricity and/or fuel costs are high; (3) Significantly reduced greenhouse gas (GHG) emissions. Typical CHP plants reduce onsite GHG by 40 to 60 percent; (4) Peak demand shaving where demand costs are high; (5) CHP where thermal energy can be used in addition to electricity; (6) The ability to meet standby power needs, especially where utility-supplied power is interrupted frequently or for long periods and where standby power is required for safety or emergencies; and (7) Use for standalone or off-grid systems where extending the grid is too expensive or impractical. Because they are installed close to the load, DG systems avoid some of the disadvantages of large, central power plants, such as transmission and distribution losses over long electric lines.

  19. Advancements in Distributed Generation Issues: Interconnection, Modeling, and Tariffs

    SciTech Connect (OSTI)

    Thomas, H.; Kroposki, B.; Basso, T.; Treanton, B. G.

    2007-01-01

    The California Energy Commission is cost-sharing research with the Department of Energy through the National Renewable Energy Laboratory to address distributed energy resources (DER) topics. These efforts include developing interconnection and power management technologies, modeling the impacts of interconnecting DER with an area electric power system, and evaluating possible modifications to rate policies and tariffs. As a result, a DER interconnection device has been developed and tested. A workshop reviewed the status and issues of advanced power electronic devices. Software simulations used validated models of distribution circuits that incorporated DER, and tests and measurements of actual circuits with and without DER systems are being conducted to validate these models. Current policies affecting DER were reviewed and rate making policies to support deployment of DER through public utility rates and policies were identified. These advancements are expected to support the continued and expanded use of DER systems.

  20. Viability of Small Wind Distributed Generation for Farmers Who Irrigate (Poster)

    SciTech Connect (OSTI)

    Meadows, B.; Forsyth, T.; Johnson, S.; Healow, D.

    2010-05-01

    About 14% of U.S. farms are irrigated, representing 55 million acres of irrigated land. Irrigation on these farms is a major energy user in the United States, accounting for one-third of water withdrawals and 137 billion gallons per day. More than half of the Irrigation systems use electric energy. Wind energy can be a good choice for meeting irrigation energy needs. Nine of the top 10 irrigation states (California, Texas, Idaho, Arkansas, Colorado, Nebraska, Arizona, Kansas, Washington, and Oregon) have good to excellent wind resources. Many rural areas have sufficient wind speeds to make wind an attractive alternative, and farms and ranches can often install a wind energy system without impacting their ability to plant crops and graze livestock. Additionally, the rising and uncertain future costs of diesel, natural gas, and even electricity increase the potential effectiveness for wind energy and its predictable and competitive cost. In general, wind-powered electric generation systems generate more energy in the winter months than in the summer months when most crops need the water. Therefore, those states that have a supportive net metering policy can dramatically impact the viability of an onsite wind turbine. This poster presentation highlights case studies that show favorable and unfavorable policies that impact the growth of small wind in this important sector and demonstrate how net metering policies affect the viability of distributed wind generation for farmers who irrigate.

  1. The Value of Distributed Solar Electric Generation to San Antonio

    SciTech Connect (OSTI)

    Jones, Nic; Norris, Ben; Meyer, Lisa

    2013-02-14

    This report presents an analysis of value provided by grid-connected, distributed PV in San Antonio from a utility perspective. The study quantified six value components, summarized in Table ES- 1. These components represent the benefits that accrue to the utility, CPS Energy, in accepting solar onto the grid. This analysis does not treat the compensation of value, policy objectives, or cost-effectiveness from the retail consumer perspective.

  2. Distribution of Natural Gas: The Final Step in the Transmission Process

    Reports and Publications (EIA)

    2008-01-01

    This report analyzes the role of local distribution companies (LDCs) and transmission pipelines in delivering natural gas supplies to end use customers, focusing upon the years 1996 through 2006.

  3. Next Generation Natural Gas Vehicle Program Phase I: Clean Air Partners 0.5

    Office of Scientific and Technical Information (OSTI)

    g/hp-h NOx Engine Concept; Final Report (Technical Report) | SciTech Connect Technical Report: Next Generation Natural Gas Vehicle Program Phase I: Clean Air Partners 0.5 g/hp-h NOx Engine Concept; Final Report Citation Details In-Document Search Title: Next Generation Natural Gas Vehicle Program Phase I: Clean Air Partners 0.5 g/hp-h NOx Engine Concept; Final Report Subcontractor report details work done by Clean Air Partners to develop 0.5 g/hp-h NOx natural gas engine exhaust gas

  4. Model documentation: Natural gas transmission and distribution model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    1995-02-17

    The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. NEMS was developed in the Office of integrated Analysis and Forecasting of the Energy information Administration (EIA). NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the EIA and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas. The model also includes representations of the end-use demand for natural gas, the production of domestic natural gas, and the availability of natural gas traded on the international market based on information received from other NEMS models. The NGTDM determines the flow of natural gas in an aggregate, domestic pipeline network, connecting domestic and foreign supply regions with 12 demand regions. The methodology employed allows the analysis of impacts of regional capacity constraints in the interstate natural gas pipeline network and the identification of pipeline capacity expansion requirements. There is an explicit representation of core and noncore markets for natural gas transmission and distribution services, and the key components of pipeline tariffs are represented in a pricing algorithm. Natural gas pricing and flow patterns are derived by obtaining a market equilibrium across the three main elements of the natural gas market: the supply element, the demand element, and the transmission and distribution network that links them. The NGTDM consists of four modules: the Annual Flow Module, the Capacity F-expansion Module, the Pipeline Tariff Module, and the Distributor Tariff Module. A model abstract is provided in Appendix A.

  5. Impact of Higher Natural Gas Prices on Local Distribution Companies and Residential Customers

    Reports and Publications (EIA)

    2007-01-01

    This report examines some of the problems faced by natural gas consumers as a result of increasing heating bills in recent years and problems associated with larger amounts of uncollectible revenue and lower throughput for the local distribution companies (LDCs) supplying the natural gas.

  6. Materials Innovation for Next Generation Transmission and Distribution Grid Components Workshop

    Broader source: Energy.gov [DOE]

    Applied R&D in advanced materials has the potential to improve the fundamental properties and capabilities of hardware for grid applications. The Materials Innovation for Next-Generation Transmission and Distribution Grid Components Workshop, held August 26-27, 2015 at Oak Ridge National Laboratory (ORNL), investigated various advanced materials and their potential application to next-generation transmission and distribution (T&D) components. The workshop materials are available below for downloading.

  7. The role of distributed generation (DG) in a restructured utility environment

    SciTech Connect (OSTI)

    Feibus, H.

    1999-07-01

    A major consequence of the restructuring of the electric utility industry is disintegration, by which the traditional integrated utility is spinning off its generation business and becoming a power distribution company, or distco. This company will be the remaining entity of the traditional electric utility that continues to be regulated. The world in which the distco functions is becoming a very different place. The distco will be called upon to deliver not only power, but a range of ancillary services, defined by the Federal Energy Regulatory Commission, including spinning reserves, voltage regulation, reactive power, energy imbalance and network stability, some of which may be obtained from the independent system operator, and some of which may be provided by the distco. In this environment the distco must maintain system reliability and provide service to the customer at the least cost. Meanwhile, restructuring is spawning a new generation of unregulated energy service companies that threaten to win the most attractive customers from the distco. Fortunately there is a new emerging generation of technologies, distributed resources, that provide options to the distco to help retain prime customers, by improving reliability and lowering costs. Specifically, distributed generation and storage systems if dispersed into the distribution system can provide these benefits, if generators with the right characteristics are selected, and the integration into the distribution system is done skillfully. The Electric Power Research Institute has estimated that new distributed generation may account for 30% of new generation. This presentation will include the characteristics of several distributed resources and identify potential benefits that can be obtained through the proper integration of distributed generation and storage systems.

  8. Comparing Statewide Economic Impacts of New Generation from Wind, Coal, and Natural Gas in Arizona, Colorado, and Michigan

    SciTech Connect (OSTI)

    Tegen, S.

    2006-05-01

    Report comparing the impacts to states from equivalent new electrical generation from wind, natural gas, and coal.

  9. Historical and Current U.S. Strategies for Boosting Distributed Generation

    SciTech Connect (OSTI)

    Lowder, Travis; Schwabe, Paul; Zhou, Ella; Arent, Douglas J.

    2015-10-29

    This report seeks to introduce a variety of top-down and bottom-up practices that, in concert with the macro-environment of cost-reduction globally and early adoption in Europe, helped boost the distributed generation photovoltaic market in the United States. These experiences may serve as a reference in China's quest to promote distributed renewable energy.

  10. Study and Development of Anti-Islanding Control for Synchronous Machine-Based Distributed Generators: November 2001--March 2004

    SciTech Connect (OSTI)

    Ye, Z.

    2006-03-01

    This report summarizes the study and development of new active anti-islanding control schemes for synchronous machine-based distributed generators, including engine generators and gas turbines.

  11. NREL: Energy Analysis - dGen: Distributed Generation Market Demand Model

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

    The Distributed Generation Market Demand (dGen) model is a geospatially rich, bottom-up, market-penetration model that simulates the potential adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the continental United States through 2050. The dGen model builds on and provides significant advances over NREL's deprecated Solar Deployment System (SolarDS) model. The dGen model can help develop deployment forecasts for distributed resources,

  12. Distributed Generation

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

    ... customers, especially in sectors like the health care industry where high quality, reliable power is important and floor space is limited. 4 Plus, the latest Energy Information ...

  13. Life Cycle GHG Emissions from Conventional Natural Gas Power Generation: Systematic Review and Harmonization (Presentation)

    SciTech Connect (OSTI)

    Heath, G.; O'Donoughue, P.; Whitaker, M.

    2012-12-01

    This research provides a systematic review and harmonization of the life cycle assessment (LCA) literature of electricity generated from conventionally produced natural gas. We focus on estimates of greenhouse gases (GHGs) emitted in the life cycle of electricity generation from conventionally produced natural gas in combustion turbines (NGCT) and combined-cycle (NGCC) systems. A process we term "harmonization" was employed to align several common system performance parameters and assumptions to better allow for cross-study comparisons, with the goal of clarifying central tendency and reducing variability in estimates of life cycle GHG emissions. This presentation summarizes preliminary results.

  14. Natural Gas Transmission and Distribution Model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    1998-01-01

    The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas. The model also includes representations of the end-use demand for natural gas, the production of domestic natural gas, and the availability of natural gas traded on the international market based on information received from other NEMS models. The NGTDM determines the flow of natural gas in an aggregate, domestic pipeline network, connecting domestic and foreign supply regions with 12 demand regions. The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. Subsequent chapters of this report provide: an overview of NGTDM; a description of the interface between the NEMS and NGTDM; an overview of the solution methodology of the NGTDM; the solution methodology for the Annual Flow Module; the solution methodology for the Distributor Tariff Module; the solution methodology for the Capacity Expansion Module; the solution methodology for the Pipeline Tariff Module; and a description of model assumptions, inputs, and outputs.

  15. Laying the Groundwork: Lessons Learned from the Telecommunications Industry for Distributed Generation; Preprint

    SciTech Connect (OSTI)

    Wise, A. L.

    2008-05-01

    The telecommunications industry went through growing pains in the past that hold some interesting lessons for the growing distributed generation (DG) industry. The technology shifts and stakeholders involved with the historic market transformation of the telecommunications sector mirror similar factors involved in distributed generation today. An examination of these factors may inform best practices when approaching the conduits necessary to accelerate the shifting of our nation's energy system to cleaner forms of generation and use. From a technical perspective, the telecom industry in the 1990s saw a shift from highly centralized systems that had no capacity for adaptation to highly adaptive, distributed network systems. From a management perspective, the industry shifted from small, private-company structures to big, capital-intensive corporations. This presentation will explore potential correlation and outline the lessons that we can take away from this comparison.

  16. Implications of Lower Natural Gas Prices for Electric Generators in the Southeast, The

    Reports and Publications (EIA)

    2009-01-01

    This supplement to the Energy Information Administration's (EIA) May 2009 Short-Term Energy Outlook (STEO) focuses on changes in the utilization of coal- and natural-gas-fired generation capacity in the electric utility sector as the differential between delivered fuel prices narrows.

  17. Industrial Use of Distributed Generation in Real-Time Energy and Ancillary Service Markets

    SciTech Connect (OSTI)

    Hudson, C.R.

    2001-10-24

    Industrial consumers of energy now have the opportunity to participate directly in electricity generation. This report seeks to give the reader (1) insights into the various types of generation services that distributed generation (DG) units could provide, (2) a mechanism to evaluate the economics of using DG, (3) an overview of the status of DG deployment in selected states, and (4) a summary of the communication technologies involved with DG and what testing activities are needed to encourage industrial application of DG. Section 1 provides details on electricity markets and the types of services that can be offered. Subsequent sections in the report address the technical requirements for participating in such markets, the economic decision process that an industrial energy user should go through in evaluating distributed generation, the status of current deployment efforts, and the requirements for test-bed or field demonstration projects.

  18. Variance Analysis of Wind and Natural Gas Generation under Different Market Structures: Some Observations

    SciTech Connect (OSTI)

    Bush, B.; Jenkin, T.; Lipowicz, D.; Arent, D. J.; Cooke, R.

    2012-01-01

    Does large scale penetration of renewable generation such as wind and solar power pose economic and operational burdens on the electricity system? A number of studies have pointed to the potential benefits of renewable generation as a hedge against the volatility and potential escalation of fossil fuel prices. Research also suggests that the lack of correlation of renewable energy costs with fossil fuel prices means that adding large amounts of wind or solar generation may also reduce the volatility of system-wide electricity costs. Such variance reduction of system costs may be of significant value to consumers due to risk aversion. The analysis in this report recognizes that the potential value of risk mitigation associated with wind generation and natural gas generation may depend on whether one considers the consumer's perspective or the investor's perspective and whether the market is regulated or deregulated. We analyze the risk and return trade-offs for wind and natural gas generation for deregulated markets based on hourly prices and load over a 10-year period using historical data in the PJM Interconnection (PJM) from 1999 to 2008. Similar analysis is then simulated and evaluated for regulated markets under certain assumptions.

  19. Rhode Island Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Rhode Island Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 837 336 243 2000's 295 281 332 383 308 695 804 822 865 900 2010's 1,468 1,003 1,023 1,087 2,824 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Pipeline &

  20. Modeling the Impacts of Solar Distributed Generation on U.S. Water Resources

    SciTech Connect (OSTI)

    Amanda, Smith; Omitaomu, Olufemi A; Jaron, Peck

    2015-01-01

    Distributed electric power generation technologies typically use little or no water per unit of electrical energy produced; in particular, renewable energy sources such as solar PV systems do not require cooling systems and present an opportunity to reduce water usage for power generation. Within the US, the fuel mix used for power generation varies regionally, and certain areas use more water for power generation than others. The need to reduce water usage for power generation is even more urgent in view of climate change uncertainties. In this paper, we present an example case within the state of Tennessee, one of the top four states in water consumption for power generation and one of the states with little or no potential for developing centralized renewable energy generations. The potential for developing PV generation within Knox County, Tennessee, is studied, along with the potential for reducing water withdrawal and consumption within the Tennessee Valley stream region. Electric power generation plants in the region are quantified for their electricity production and expected water withdrawal and consumption over one year, where electrical generation data is provided over one year and water usage is modeled based on the cooling system(s) in use. Potential solar PV electrical production is modeled based on LiDAR data and weather data for the same year. Our proposed methodology can be summarized as follows: First, the potential solar generation is compared against the local grid demand. Next, electrical generation reductions are specified that would result in a given reduction in water withdrawal and a given reduction in water consumption, and compared with the current water withdrawal and consumption rates for the existing fuel mix. The increase in solar PV development that would produce an equivalent amount of power, is determined. In this way, we consider how targeted local actions may affect the larger stream region through thoughtful energy development. This model can be applied to other regions, other types of distributed generation, and used as a framework for modeling alternative growth scenarios in power production capacity in addition to modeling adjustments to existing capacity.

  1. Buildings Energy Data Book: 6.2 Electricity Generation, Transmission, and Distribution

    Buildings Energy Data Book [EERE]

    2010 Existing Capacity, by Energy Source (GW) Number of Generator Nameplate Net Summer Net Winter Plant Fuel Type Generators Capacity Capacity Capacity Coal Petroleum Natural Gas Other Gases Nuclear Hydroelectric Conventional Wind Solar Thermal and Photovoltaic Wood and Wood Derived Fuels Geothermal Other Biomass Pumped Storage Other Total Source(s): EIA, Electric Power Annual 2010, Feb. 2012, Table 1.2. 51 1.0 0.9 0.9 18,150 1,138.6 1,039.1 1,078.7 1,574 5.0 4.4 4.4 151 20.5 22.2 22.1 346 7.9

  2. A methodology for technical and financial assessment of distributed generation in the US

    SciTech Connect (OSTI)

    Curtiss, P.; Kreider, J.; Cohen, D.

    1999-07-01

    Traditionally, distributed power generation technologies have been considered to help reduce or eliminate the need for grid-connected electricity. It has been difficult, however, to assess the economic benefits of such technologies due to a lack of computer tools and data related to operating characteristics. This paper discusses a method for performing such as assessment based on electrical and thermal building loads, existing utility rate structures, standard economic parameters, tangible benefits from distributed resource and T and D benefits, and different control techniques. The paper concludes with an example showing the dependency of the internal rate of return on some of the input parameters.

  3. Making the Economic Case for Small-Scale Distributed Wind -- A Screening for Distributed Generation Wind Opportunities: Preprint

    SciTech Connect (OSTI)

    Kandt, A.; Brown, E.; Dominick, J.; Jurotich, T.

    2007-06-01

    This study was an offshoot of a previous assessment, which examined the potential for large-scale, greater than 50 MW, wind development on occupied federal agency lands. The study did not find significant commercial wind development opportunities, primarily because of poor wind resource on available and appropriately sized land areas or land use or aesthetic concerns. The few sites that could accommodate a large wind farm failed to have transmission lines in optimum locations required to generate power at competitive wholesale prices. The study did identify a promising but less common distributed generation (DG) development option. This follow-up study documents the NREL/Global Energy Concepts team efforts to identify economic DG wind projects at a select group of occupied federal sites. It employs a screening strategy based on project economics that go beyond quantity of windy land to include state and utility incentives as well as the value of avoided power purchases. It attempts to account for the extra costs and difficulties associated with small projects through the use of project scenarios that are more compatible with federal facilities and existing land uses. These benefits and barriers of DG are discussed, and the screening methodology and results are included. The report concludes with generalizations about the screening method and recommendations for improvement and other potential applications for this methodology.

  4. SIZE DISTRIBUTION AND RATE OF PRODUCTION OF AIRBORNE PARTICULATE MATTER GENERATED DURING METAL CUTTING

    SciTech Connect (OSTI)

    M.A. Ebadian, Ph.D.; S.K. Dua, Ph.D., C.H.P.; Hillol Guha, Ph.D.

    2001-01-01

    During deactivation and decommissioning activities, thermal cutting tools, such as plasma torch, laser, and gasoline torch, are used to cut metals. These activities generate fumes, smoke and particulates. These airborne species of matter, called aerosols, may be inhaled if suitable respiratory protection is not used. Inhalation of the airborne metallic aerosols has been reported to cause ill health effects, such as acute respiratory syndrome and chromosome damage in lymphocytes. In the nuclear industry, metals may be contaminated with radioactive materials. Cutting these metals, as in size reduction of gloveboxes and tanks, produces high concentrations of airborne transuranic particles. Particles of the respirable size range (size < 10 {micro}m) deposit in various compartments of the respiratory tract, the fraction and the site in the respiratory tract depending on the size of the particles. The dose delivered to the respiratory tract depends on the size distribution of the airborne particulates (aerosols) and their concentration and radioactivity/toxicity. The concentration of airborne particulate matter in an environment is dependent upon the rate of their production and the ventilation rate. Thus, measuring aerosol size distribution and generation rate is important for (1) the assessment of inhalation exposures of workers, (2) the selection of respiratory protection equipment, and (3) the design of appropriate filtration systems. Size distribution of the aerosols generated during cutting of different metals by plasma torch was measured. Cutting rates of different metals, rate of generation of respirable mass, as well as the fraction of the released kerf that become respirable were determined. This report presents results of these studies. Measurements of the particles generated during cutting of metal plates with a plasma arc torch revealed the presence of particles with mass median aerodynamic diameters of particles close to 0.2 {micro}m, arising from condensation of vaporized material and subsequent rapid formation of aggregates. Particles of larger size, resulting from ejection of melted material or fragments from the cutting zone, were also observed. This study presents data regarding the metal cutting rate, particle size distribution, and their generation rate, while using different cutting tools and metals. The study shows that respirable particles constitute only a small fraction of the released kerf.

  5. Natural gas transmission and distribution model of the National Energy Modeling System

    SciTech Connect (OSTI)

    1997-02-01

    The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. NEMS was developed in the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA). NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the EIA and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. From 1982 through 1993, the Intermediate Future Forecasting System (IFFS) was used by the EIA for its analyses, and the Gas Analysis Modeling System (GAMS) was used within IFFS to represent natural gas markets. Prior to 1982, the Midterm Energy Forecasting System (MEFS), also referred to as the Project Independence Evaluation System (PIES), was employed. NEMS was developed to enhance and update EIA`s modeling capability by internally incorporating models of energy markets that had previously been analyzed off-line. In addition, greater structural detail in NEMS permits the analysis of a broader range of energy issues. The time horizon of NEMS is the midterm period (i.e., through 2015). In order to represent the regional differences in energy markets, the component models of NEMS function at regional levels appropriate for the markets represented, with subsequent aggregation/disaggregation to the Census Division level for reporting purposes.

  6. Ultrashort laser ablation of bulk copper targets: Dynamics and size distribution of the generated nanoparticles

    SciTech Connect (OSTI)

    Tsakiris, N.; Gill-Comeau, M.; Lewis, L. J.; Anoop, K. K.; Ausanio, G.; Bruzzese, R.; Amoruso, S.

    2014-06-28

    We address the role of laser pulse fluence on expansion dynamics and size distribution of the nanoparticles produced by irradiating a metallic target with an ultrashort laser pulse in a vacuum, an issue for which contrasting indications are present in the literature. To this end, we have carried out a combined theoretical and experimental analysis of laser ablation of a bulk copper target with ?50 fs, 800?nm pulses, in an interval of laser fluencies going from few to several times the ablation threshold. On one side, molecular dynamics simulations, with two-temperature model, describe the decomposition of the material through the analysis of the evolution of thermodynamic trajectories in the material phase diagram, and allow estimating the size distribution of the generated nano-aggregates. On the other side, atomic force microscopy of less than one layer nanoparticles deposits on witness plates, and fast imaging of the nanoparticles broadband optical emission provide the corresponding experimental characterization. Both experimental and numerical findings agree on a size distribution characterized by a significant fraction (?90%) of small nanoparticles, and a residual part (?10%) spanning over a rather large size interval, evidencing a weak dependence of the nanoparticles sizes on the laser pulse fluence. Numerical and experimental findings show a good degree of consistency, thus suggesting that modeling can realistically support the search for experimental methods leading to an improved control over the generation of nanoparticles by ultrashort laser ablation.

  7. Parallel paving: An algorithm for generating distributed, adaptive, all-quadrilateral meshes on parallel computers

    SciTech Connect (OSTI)

    Lober, R.R.; Tautges, T.J.; Vaughan, C.T.

    1997-03-01

    Paving is an automated mesh generation algorithm which produces all-quadrilateral elements. It can additionally generate these elements in varying sizes such that the resulting mesh adapts to a function distribution, such as an error function. While powerful, conventional paving is a very serial algorithm in its operation. Parallel paving is the extension of serial paving into parallel environments to perform the same meshing functions as conventional paving only on distributed, discretized models. This extension allows large, adaptive, parallel finite element simulations to take advantage of paving`s meshing capabilities for h-remap remeshing. A significantly modified version of the CUBIT mesh generation code has been developed to host the parallel paving algorithm and demonstrate its capabilities on both two dimensional and three dimensional surface geometries and compare the resulting parallel produced meshes to conventionally paved meshes for mesh quality and algorithm performance. Sandia`s {open_quotes}tiling{close_quotes} dynamic load balancing code has also been extended to work with the paving algorithm to retain parallel efficiency as subdomains undergo iterative mesh refinement.

  8. Model documentation Natural Gas Transmission and Distribution Model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    1996-02-26

    The Natural Gas Transmission and Distribution Model (NGTDM) of the National Energy Modeling System is developed and maintained by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting. This report documents the archived version of the NGTDM that was used to produce the natural gas forecasts presented in the Annual Energy Outlook 1996, (DOE/EIA-0383(96)). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic approach, and provides detail on the methodology employed. Previously this report represented Volume I of a two-volume set. Volume II reported on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.

  9. Internal stress distribution for generating closure domains in laser-irradiated Fe3%Si(110) steels

    SciTech Connect (OSTI)

    Iwata, Keiji; Imafuku, Muneyuki; Orihara, Hideto; Sakai, Yusuke; Ohya, Shin-Ichi; Suzuki, Tamaki; Shobu, Takahisa; Akita, Koichi; Ishiyama, Kazushi

    2015-05-07

    Internal stress distribution for generating closure domains occurring in laser-irradiated Fe3%Si(110) steels was investigated using high-energy X-ray analysis and domain theory based on the variational principle. The measured triaxial stresses inside the specimen were compressive and the stress in the rolling direction became more dominant than stresses in the other directions. The calculations based on the variational principle of magnetic energy for closure domains showed that the measured triaxial stresses made the closure domains more stable than the basic domain without closure domains. The experimental and calculation results reveal that the laser-introduced internal stresses result in the occurrence of the closure domains.

  10. Development, Demonstration, and Field Testing of Enterprise-Wide Distributed Generation Energy Management System: Final Report

    SciTech Connect (OSTI)

    Greenberg, S.; Cooley, C.

    2005-01-01

    This report details progress on subcontract NAD-1-30605-1 between the National Renewable Energy Laboratory and RealEnergy (RE), the purpose of which is to describe RE's approach to the challenges it faces in the implementation of a nationwide fleet of clean cogeneration systems to serve contemporary energy markets. The Phase 2 report covers: utility tariff risk and its impact on market development; the effect on incentives on distributed energy markets; the regulatory effectiveness of interconnection in California; a survey of practical field interconnection issues; trend analysis for on-site generation; performance of dispatch systems; and information design hierarchy for combined heat and power.

  11. Model documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System; Volume 1

    SciTech Connect (OSTI)

    1994-02-24

    The Natural Gas Transmission and Distribution Model (NGTDM) is a component of the National Energy Modeling System (NEMS) used to represent the domestic natural gas transmission and distribution system. NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the Energy Information Administration (EIA) and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. This report documents the archived version of NGTDM that was used to produce the natural gas forecasts used in support of the Annual Energy Outlook 1994, DOE/EIA-0383(94). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. It is intended to fulfill the legal obligation of the EIA to provide adequate documentation in support of its models (Public Law 94-385, Section 57.b.2). This report represents Volume 1 of a two-volume set. (Volume 2 will report on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.) Subsequent chapters of this report provide: (1) an overview of the NGTDM (Chapter 2); (2) a description of the interface between the National Energy Modeling System (NEMS) and the NGTDM (Chapter 3); (3) an overview of the solution methodology of the NGTDM (Chapter 4); (4) the solution methodology for the Annual Flow Module (Chapter 5); (5) the solution methodology for the Distributor Tariff Module (Chapter 6); (6) the solution methodology for the Capacity Expansion Module (Chapter 7); (7) the solution methodology for the Pipeline Tariff Module (Chapter 8); and (8) a description of model assumptions, inputs, and outputs (Chapter 9).

  12. Reliable, Low-Cost Distributed Generator/Utility System Interconnect: Final Subcontract Report, November 2001-March 2004

    SciTech Connect (OSTI)

    Ye, Z.; Walling, R.; Miller, N.; Du, P.; Nelson, K.; Li, L.; Zhou, R.; Garces, L.; Dame, M.

    2006-03-01

    This report summarizes the detailed study and development of new GE anti-islanding controls for two classes of distributed generation. One is inverter-interfaced, while the other is synchronous machine interfaced.

  13. Accounting for fuel price risk: Using forward natural gas prices instead of gas price forecasts to compare renewable to natural gas-fired generation

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2003-08-13

    Against the backdrop of increasingly volatile natural gas prices, renewable energy resources, which by their nature are immune to natural gas fuel price risk, provide a real economic benefit. Unlike many contracts for natural gas-fired generation, renewable generation is typically sold under fixed-price contracts. Assuming that electricity consumers value long-term price stability, a utility or other retail electricity supplier that is looking to expand its resource portfolio (or a policymaker interested in evaluating different resource options) should therefore compare the cost of fixed-price renewable generation to the hedged or guaranteed cost of new natural gas-fired generation, rather than to projected costs based on uncertain gas price forecasts. To do otherwise would be to compare apples to oranges: by their nature, renewable resources carry no natural gas fuel price risk, and if the market values that attribute, then the most appropriate comparison is to the hedged cost of natural gas-fired generation. Nonetheless, utilities and others often compare the costs of renewable to gas-fired generation using as their fuel price input long-term gas price forecasts that are inherently uncertain, rather than long-term natural gas forward prices that can actually be locked in. This practice raises the critical question of how these two price streams compare. If they are similar, then one might conclude that forecast-based modeling and planning exercises are in fact approximating an apples-to-apples comparison, and no further consideration is necessary. If, however, natural gas forward prices systematically differ from price forecasts, then the use of such forecasts in planning and modeling exercises will yield results that are biased in favor of either renewable (if forwards < forecasts) or natural gas-fired generation (if forwards > forecasts). In this report we compare the cost of hedging natural gas price risk through traditional gas-based hedging instruments (e.g., futures, swaps, and fixed-price physical supply contracts) to contemporaneous forecasts of spot natural gas prices, with the purpose of identifying any systematic differences between the two. Although our data set is quite limited, we find that over the past three years, forward gas prices for durations of 2-10 years have been considerably higher than most natural gas spot price forecasts, including the reference case forecasts developed by the Energy Information Administration (EIA). This difference is striking, and implies that resource planning and modeling exercises based on these forecasts over the past three years have yielded results that are biased in favor of gas-fired generation (again, presuming that long-term stability is desirable). As discussed later, these findings have important ramifications for resource planners, energy modelers, and policy-makers.

  14. Buildings Energy Data Book: 6.3 Natural Gas Production and Distribution

    Buildings Energy Data Book [EERE]

    4 Natural Gas End-Use Deliveries by Type of Distributor for 1996, 2000, and 2006 Volume Delivered Customers Volume Delivered Customers Volume Delivered Customers Type of Distributor (Tcf) (Percent) (millions) (Tcf) (Percent) (millions) (Tcf) (Percent) (millions) Local Distribution Comp. 14.3 72% 58.7 14.2 67% 57.8 11.1 60% 61.4 Investor-Owned 13.3 54.0 13.2 4.3 0.8 4.9 Municipal 0.8 4.0 0.8 0.5 0.2 0.8 Privately-Owned 0.2 0.7 0.2 0.1 0.0 0.1 Cooperative 0.0 0.1 0.0 62.8 12.0 67.2 Interstate

  15. South Dakota Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) South Dakota Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2,910 2,805 6,020 2000's 6,269 5,774 6,065 6,318 6,217 5,751 5,421 5,690 4,686 3,240 2010's 5,806 6,692 6,402 6,888 5,221 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  16. New Hampshire Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) New Hampshire Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2.73 2.32 4.82 5.95 6.00 3.77 6.23 5.29 3.33 3.26 1990's 3.67 3.40 3.81 3.79 3.88 3.42 4.17 4.20 3.88 3.97 2000's 0.00 0.00 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  17. New Jersey Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) New Jersey Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 3,407 2,700 4,116 2000's 2,898 3,741 1,444 1,533 1,466 1,234 955 1,514 1,889 1,678 2010's 5,359 5,655 4,603 5,559 5,070 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  18. New Mexico Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) New Mexico Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 61,772 52,424 48,570 2000's 45,850 45,512 41,611 29,268 27,112 19,663 17,462 13,441 13,481 11,624 2010's 8,597 7,067 7,467 8,782 8,561 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  19. New York Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) New York Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 7,477 7,317 7,815 2000's 7,422 5,096 8,012 7,206 7,418 10,350 11,471 12,823 12,587 12,372 2010's 15,122 18,836 17,610 16,819 24,923 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring

  20. North Dakota Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) North Dakota Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 4,744 413 9,506 2000's 10,567 13,563 14,230 14,109 14,035 13,306 13,023 13,317 11,484 8,870 2010's 13,745 13,575 15,619 14,931 14,604 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  1. Maine Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand

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

    Cubic Feet) Price (Dollars per Thousand Cubic Feet) Maine Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.42 1980's 2.63 3.20 4.92 4.60 5.40 4.36 3.88 2.24 4.60 3.41 1990's 3.73 3.59 3.97 3.91 3.50 5.50 -- 2000's 4.65 3.69 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  2. 1,"Chuck Lenzie Generating Station","Natural gas","Nevada Power...

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

    of Reclamation",1039.4 4,"Tracy","Natural gas","Sierra Pacific Power Co",897.6 5,"Harry Allen","Natural gas","Nevada Power Co",654 6,"Silverhawk","Natural gas","Nevada Power ...

  3. Spectroscopic measurement of ion temperature and ion velocity distributions in the flux-coil generated FRC

    SciTech Connect (OSTI)

    Gupta, D.; Gota, H.; Hayashi, R.; Kiyashko, V.; Morehouse, M.; Primavera, S.; Bolte, N.; Marsili, P.; Roche, T.; Wessel, F.

    2010-10-15

    One aim of the flux-coil generated field reversed configuration at Tri Alpha Energy (TAE) is to establish the plasma where the ion rotational energy is greater than the ion thermal energy. To verify this, an optical diagnostic was developed to simultaneously measure the Doppler velocity-shift and line-broadening using a 0.75 m, 1800 groves/mm, spectrometer. The output spectrum is magnified and imaged onto a 16-channel photomultiplier tube (PMT) array. The individual PMT outputs are coupled to high-gain, high-frequency, transimpedance amplifiers, providing fast-time response. The Doppler spectroscopy measurements, along with a survey spectrometer and photodiode-light detector, form a suite of diagnostics that provide insights into the time evolution of the plasma-ion distribution and current when accelerated by an azimuthal-electric field.

  4. Commercialization of a 2.5kW Utility Interactive Inverter for Distributed Generation

    SciTech Connect (OSTI)

    Torrey, David A.

    2006-05-26

    Through this project, Advanced Energy Conversion (AEC) has developed, tested, refined and is preparing to commercialize a 2.5kW utility-interactive inverter system for distributed generation. The inverter technology embodies zero-voltage switching technology that will ultimately yield a system that is smaller, less expensive and more efficient than existing commercial technologies. This program has focused on commercial success through careful synthesis of technology, market-focus and business development. AEC was the primary participant. AEC is utilizing contract manufacturers in the early stages of production, allowing its technical staff to focus on quality control issues and product enhancements. The objective of this project was to bring the AEC inverter technology from its current pre-production state to a commercial product. Federal funds have been used to build and test production-intent inverters, support the implementation of the commercialization plan and bring the product to the point of UL certification.

  5. U.S. Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand

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

    Cubic Feet) Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) U.S. Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.20 0.20 0.21 1970's 0.21 0.22 0.23 0.25 0.30 0.40 0.51 0.77 0.90 1.32 1980's 1.85 2.39 2.97 3.15 3.04 2.92 2.52 2.17 2.10 2.01 1990's 1.95 1.87 2.07 1.97 1.70 1.49 2.27 2.29 2.01 1.88 2000's 2.97 3.55 NA -- -- -- - = No Data Reported; -- =

  6. Iowa Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand

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

    Cubic Feet) Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Iowa Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.17 0.16 0.17 1970's 0.17 0.19 0.20 0.22 0.26 0.34 0.52 0.73 0.99 1.17 1980's 1.55 1.89 2.50 2.73 2.71 2.83 2.57 2.75 2.01 2.02 1990's 1.52 1.54 1.71 1.25 1.39 1.40 2.37 2.46 2.06 2.16 2000's 3.17 3.60 NA -- -- -- - = No Data Reported; -- =

  7. Ecological distribution and population physiology defined by proteomics in a natural microbial community

    SciTech Connect (OSTI)

    Muller, R; Denef, Vincent; Kalnejals, Linda; Suttle, K Blake; Thomas, Brian; Wilmes, P; Smith, Richard L.; Nordstrom, D Kirk; McCleskey, R Blaine; Shah, Manesh B; Verberkmoes, Nathan C; Hettich, Robert {Bob} L; Banfield, Jillian F.

    2010-01-01

    An important challenge in microbial ecology is developing methods that simultaneously examine the physiology of organisms at the molecular level and their ecosystem level interactions in complex natural systems.We integrated extensive proteomic, geochemical, and biological information from 28 microbial communities collected from an acid mine drainage environment and representing a range of biofilm development stages and geochemical conditions to evaluate how the physiologies of the dominant and less abundant organisms change along environmental gradients. The initial colonist dominates across all environments, but its proteome changes between two stable states as communities diversify, implying that interspecies interactions affect this organism s metabolism. Its overall physiology is robust to abiotic environmental factors, but strong correlations exist between these factors and certain subsets of proteins, possibly accounting for its wide environmental distribution. Lower abundance populations are patchier in their distribution, and proteomic data indicate that their environmental niches may be constrained by specific sets of abiotic environmental factors. This research establishes an effective strategy to investigate ecological relationships between microbial physiology and the environment for whole communities in situ

  8. PV Ramping in a Distributed Generation Environment: A Study Using Solar Measurements; Preprint

    SciTech Connect (OSTI)

    Sengupta, M.; Keller, J.

    2012-06-01

    Variability in Photovoltaic (PV) generation resulting from variability in the solar radiation over the PV arrays is a topic of continuing concern for those involved with integrating renewables onto existing electrical grids. The island of Lanai, Hawaii is an extreme example of the challenges that integrators will face due to the fact that it is a small standalone grid. One way to study this problem is to take high-resolution solar measurements in multiple locations and model simultaneous PV production for various sizes at those locations. The National Renewable Energy Laboratory (NREL) collected high-resolution solar data at four locations on the island where proposed PV plants will be deployed in the near future. This data set provides unique insight into how the solar radiation may vary between points that are proximal in distance, but diverse in weather, due to the formation of orographic clouds in the center of the island. Using information about each proposed PV plant size, power output was created at high resolution. The team analyzed this output to understand power production ramps at individual locations and the effects of aggregating the production from all four locations. Hawaii is a unique environment, with extremely variable events occurring on a daily basis. This study provided an excellent opportunity for understanding potential worst-case scenarios for PV ramping. This paper provides an introduction to the datasets that NREL collected over a year and a comprehensive analysis of PV variability in a distributed generation scenario.

  9. Generation and distribution of PAHs in the process of medical waste incineration

    SciTech Connect (OSTI)

    Chen, Ying; Zhao, Rongzhi; Xue, Jun; Li, Jinhui

    2013-05-15

    Highlights: ? PAHs generation and distribution features of medical waste incineration are studied. ? More PAHs were found in fly ash than that in bottom ash. ? The highest proportion of PAHs consisted of the seven most carcinogenic ones. ? Increase of free oxygen molecule and burning temperature promote PAHs degradation. ? There is a moderate positive correlation between total PCDD/Fs and total PAHs. - Abstract: After the deadly earthquake on May 12, 2008 in Wenchuan county of China, several different incineration approaches were used for medical waste disposal. This paper investigates the generation properties of polycyclic aromatic hydrocarbons (PAHs) during the incineration. Samples were collected from the bottom ash in an open burning slash site, surface soil at the open burning site, bottom ash from a simple incinerator, bottom ash generated from the municipal solid waste (MSW) incinerator used for medical waste disposal, and bottom ash and fly ash from an incinerator exclusively used for medical waste. The species of PAHs were analyzed, and the toxicity equivalency quantities (TEQs) of samples calculated. Analysis results indicate that the content of total PAHs in fly ash was 1.8 10{sup 3} times higher than that in bottom ash, and that the strongly carcinogenic PAHs with four or more rings accumulated sensitively in fly ash. The test results of samples gathered from open burning site demonstrate that Acenaphthylene (ACY), Acenaphthene (ACE), Fluorene (FLU), Phenanthrene (PHE), Anthracene (ANT) and other PAHs were inclined to migrate into surrounding environment along air and surface watershed corridors, while 4- to 6-ring PAHs accumulated more likely in soil. Being consistent with other studies, it has also been confirmed that increases in both free oxygen molecules and combustion temperatures could promote the decomposition of polycyclic PAHs. In addition, without the influence of combustion conditions, there is a positive correlation between total PCDD/Fs and total PAHs, although no such relationship has been found for TEQ.

  10. Distributed Dynamic State Estimator, Generator Parameter Estimation and Stability Monitoring Demonstration

    SciTech Connect (OSTI)

    Meliopoulos, Sakis; Cokkinides, George; Fardanesh, Bruce; Hedrington, Clinton

    2013-12-31

    This is the final report for this project that was performed in the period: October1, 2009 to June 30, 2013. In this project, a fully distributed high-fidelity dynamic state estimator (DSE) that continuously tracks the real time dynamic model of a wide area system with update rates better than 60 times per second is achieved. The proposed technology is based on GPS-synchronized measurements but also utilizes data from all available Intelligent Electronic Devices in the system (numerical relays, digital fault recorders, digital meters, etc.). The distributed state estimator provides the real time model of the system not only the voltage phasors. The proposed system provides the infrastructure for a variety of applications and two very important applications (a) a high fidelity generating unit parameters estimation and (b) an energy function based transient stability monitoring of a wide area electric power system with predictive capability. Also the dynamic distributed state estimation results are stored (the storage scheme includes data and coincidental model) enabling an automatic reconstruction and “play back” of a system wide disturbance. This approach enables complete play back capability with fidelity equal to that of real time with the advantage of “playing back” at a user selected speed. The proposed technologies were developed and tested in the lab during the first 18 months of the project and then demonstrated on two actual systems, the USVI Water and Power Administration system and the New York Power Authority’s Blenheim-Gilboa pumped hydro plant in the last 18 months of the project. The four main thrusts of this project, mentioned above, are extremely important to the industry. The DSE with the achieved update rates (more than 60 times per second) provides a superior solution to the “grid visibility” question. The generator parameter identification method fills an important and practical need of the industry. The “energy function” based transient stability monitoring opens up new ways to protect the power grid, better manage disturbances, confine their impact and in general improve the reliability and security of the system. Finally, as a by-product of the proposed research project, the developed system is able to “play back” disturbances by a click of a mouse. The importance of this by-product is evident by considering the tremendous effort exerted after the August 2003 blackout to piece together all the disturbance recordings, align them and recreate the sequence of events. This project has moved the state of art from fault recording by individual devices to system wide disturbance recording with “play back” capability.

  11. Development and Testing of a 6-Cylinder HCCI Engine for Distributed Generation

    SciTech Connect (OSTI)

    Flowers, D L; Martinez-Frias, J; Espinosa-Loza, F; Killingsworth, N; Aceves, S M; Dibble, R; Kristic, M; Bining, A

    2005-07-12

    This paper describes the technical approach for converting a Caterpillar 3406 natural gas spark ignited engine into HCCI mode. The paper describes all stages of the process, starting with a preliminary analysis that determined that the engine can be operated by preheating the intake air with a heat exchanger that recovers energy from the exhaust gases. This heat exchanger plays a dual role, since it is also used for starting the engine. For start-up, the heat exchanger is preheated with a natural gas burner. The engine is therefore started in HCCI mode, avoiding the need to handle the potentially difficult transition from SI or diesel mode to HCCI. The fueling system was modified by replacing the natural gas carburetor with a liquid petroleum gas (LPG) carburetor. This modification sets an upper limit for the equivalence ratio at {phi} {approx} 0.4, which is ideal for HCCI operation and guarantees that the engine will not fail due to knock. Equivalence ratio can be reduced below 0.4 for low load operation with an electronic control valve. Intake boosting has been a challenge, as commercially available turbochargers are not a good match for the engine, due to the low HCCI exhaust temperature. Commercial introduction of HCCI engines for stationary power will therefore require the development of turbochargers designed specifically for this mode of operation. Considering that no appropriate off-the-shelf turbocharger for HCCI engines exists at this time, we are investigating mechanical supercharging options, which will deliver the required boost pressure (3 bar absolute intake) at the expense of some reduction in the output power and efficiency. An appropriate turbocharger can later be installed for improved performance when it becomes available or when a custom turbocharger is developed. The engine is now running in HCCI mode and producing power in an essentially naturally aspirated mode. Current work focuses on developing an automatic controller for obtaining consistent combustion in the 6 cylinders. The engine will then be tested for 1000 hours to demonstrate durability. This paper presents intermediate progress towards development of an HCCI engine for stationary power generation and next steps towards achieving the project goals.

  12. Field studies of streamflow generation using natural and injected tracers on Bickford and Walker Branch Watersheds

    SciTech Connect (OSTI)

    Genereux, D.; Hemond, H. . Dept. of Civil Engineering); Mulholland, P. )

    1992-05-01

    Field studies of streamflow generation were undertaken on two forested watersheds, the West Road subcatchment of Bickford Watershed in central Massachusetts and the West Fork of Walker Branch Watershed in eastern Tennessee. A major component of the research was development of a two-stage methodology for the use of naturally-occurring {sup 222}Rn as a tracer. The first of the two stages was solving a mass-balance equation for {sup 222}Rn around a stream reach of interest in order to calculate Rn{sub q}, the {sup 222}Rn content of the lateral inflow to the reach; a conservative tracer (chloride) and a volatile tracer (propane) were injected into the study stream to account for lateral inflow to, and volatilization from, the study reach. The second stage involved quantitative comparison of Rn{sub q} to the measured {sup 222}Rn concentrations of different subsurface waters in order to assess how important these waters were in contributing lateral inflow to the stream reach.

  13. Distributed Generation Potential of the U.S. CommercialSector

    SciTech Connect (OSTI)

    LaCommare, Kristina Hamachi; Edwards, Jennifer L.; Gumerman,Etan; Marnay, Chris

    2005-06-01

    Small-scale (100 kW-5 MW) on-site distributed generation (DG) economically driven by combined heat and power (CHP) applications and, in some cases, reliability concerns will likely emerge as a common feature of commercial building energy systems in developed countries over the next two decades. In the U.S., private and public expectations for this technology are heavily influenced by forecasts published by the Energy Information Administration (EIA), most notably the Annual Energy Outlook (AEO). EIA's forecasts are typically made using the National Energy Modeling System (NEMS), which has a forecasting module that predicts the penetration of several possible commercial building DG technologies over the period 2005-2025. Annual penetration is forecast by estimating the payback period for each technology, for each of a limited number of representative building types, for each of nine regions. This process results in an AEO2004 forecast deployment of about a total 3 GW of DG electrical generating capacity by 2025, which is only 0.25 percent of total forecast U.S. capacity. Analyses conducted using both the AEO2003 and AEO2004 versions of NEMS changes the baseline costs and performance characteristics of DG to reflect a world without U.S. Department of Energy (DOE) research into several thermal DG technologies, which is then compared to a case with enhanced technology representative of the successful achievement of DOE research goals. The net difference in 2025 DG penetration is dramatic using the AEO2003 version of NEMS, but much smaller in the AEO2004 version. The significance and validity of these contradictory results are discussed, and possibilities for improving estimates of commercial U.S. DG potential are explored.

  14. FEMTOSECOND TIMING DISTRIBUTION AND CONTROL FOR NEXT GENERATION ACCELERATORS AND LIGHT SOURCES

    SciTech Connect (OSTI)

    Chen, Li-Jin

    2014-03-31

    Femtosecond Timing Distribution At LCLS Free-electron-lasers (FEL) have the capability of producing high photon flux from the IR to the hard x-ray wavelength range and to emit femtosecond and eventually even at-tosecond pulses. This makes them an ideal tool for fundamental as well as applied re-search. Timing precision at the Stanford Linear Coherent Light Source (LCLS) between the x-ray FEL (XFEL) and ultrafast optical lasers is currently no better than 100 fs RMS. Ideally this precision should be much better and could be limited only by the x-ray pulse duration, which can be as short as a few femtoseconds. An increasing variety of science problems involving electron and nuclear dynamics in chemical and material systems will become accessible as the timing improves to a few femtoseconds. Advanced methods of electron beam conditioning or pulse injection could allow the FEL to achieve pulse durations less than one femtosecond. The objec-tive of the work described in this proposal is to set up an optical timing distribution sys-tem based on modelocked Erbium doped fiber lasers at LCLS facility to improve the timing precision in the facility and allow time stamping with a 10 fs precision. The primary commercial applications for optical timing distributions systems are seen in the worldwide accelerator facilities and next generation light sources community. It is reasonable to expect that at least three major XFELs will be built in the next decade. In addition there will be up to 10 smaller machines, such as FERMI in Italy and Maxlab in Sweden, plus the market for upgrading already existing facilities like Jefferson Lab. The total market is estimated to be on the order of a 100 Million US Dollars. The company owns the exclusive rights to the IP covering the technology enabling sub-10 fs synchronization systems. Testing this technology, which has set records in a lab environment, at LCLS, hence in a real world scenario, is an important corner stone of bringing the technology to market.

  15. Rhode Island Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Rhode Island Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.73 0.33 0.39 1970's 0.33 0.38 0.38 0.42 0.41 0.55 0.75 1.67 2.08 2.06 1980's 2.92 4.74 4.53 4.74 4.05 4.53 3.55 2.87 2.20 4.19 1990's 3.74 3.41 2.94 3.31 2.69 2.21 3.35 3.15 3.00 2.53 2000's 4.67 5.20 NA -- -- -- - = No Data Reported; -- = Not

  16. South Carolina Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) South Carolina Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.20 0.20 0.21 1970's 0.21 0.22 0.24 0.26 0.27 0.49 0.52 0.59 0.85 1.52 1980's 2.02 2.91 3.17 3.32 3.37 3.18 3.37 2.82 2.40 2.75 1990's 2.06 1.87 1.94 2.08 2.06 1.80 2.54 3.28 2.55 2.24 2000's 2.54 4.91 NA -- -- -- - = No Data Reported; -- = Not

  17. South Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) South Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.24 0.22 0.20 1970's 0.20 0.20 0.30 0.33 0.31 0.50 0.55 0.63 0.78 1.20 1980's 1.71 2.20 2.91 3.31 3.32 3.46 2.69 2.17 2.05 1.91 1990's 2.13 1.42 1.22 1.80 1.36 1.03 1.75 2.13 1.68 2.12 2000's 3.76 3.28 NA -- -- -- - = No Data Reported; -- = Not

  18. Texas Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand

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

    Cubic Feet) Price (Dollars per Thousand Cubic Feet) Texas Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.16 0.17 0.17 1970's 0.17 0.18 0.19 0.20 0.28 0.37 0.51 0.68 0.73 1.19 1980's 1.56 2.24 3.09 3.11 2.98 2.80 2.18 2.01 1.98 1.81 1990's 1.74 1.62 1.66 1.82 1.64 1.64 2.40 2.36 2.02 1.99 2000's 2.99 3.13 NA -- -- - = No Data Reported; -- = Not Applicable; NA = Not

  19. Utah Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand

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

    Cubic Feet) Price (Dollars per Thousand Cubic Feet) Utah Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.21 0.21 0.21 1970's 0.21 0.22 0.28 0.29 0.34 0.54 0.67 1.40 1.72 1.88 1980's 2.94 3.17 2.67 2.94 2.99 3.19 2.93 2.66 2.84 2.18 1990's 2.25 2.51 2.25 1.91 1.94 1.57 1.68 2.20 2.05 1.92 2000's 3.19 2.97 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not

  20. West Virginia Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) West Virginia Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.34 0.33 1970's 0.32 0.33 0.38 0.39 0.45 0.59 0.69 1.12 1.29 0.85 1980's 2.24 2.62 3.35 3.75 3.71 3.85 3.44 2.85 2.89 2.97 1990's 2.86 2.49 2.93 3.57 3.54 1.87 3.19 2.97 2.69 2.54 2000's 3.70 5.42 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA

  1. Idaho Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand

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

    Cubic Feet) Price (Dollars per Thousand Cubic Feet) Idaho Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.21 0.21 0.22 1970's 0.22 0.24 0.28 0.34 0.44 0.60 0.72 1.65 1.95 2.45 1980's 3.93 3.95 4.19 3.69 3.55 3.15 2.67 2.08 2.00 2.05 1990's 2.06 1.99 1.89 1.76 1.86 1.78 1.79 1.83 1.67 2.04 2000's 3.52 3.49 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not

  2. New Jersey Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) New Jersey Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.25 0.21 0.21 1970's 0.22 0.23 0.24 0.25 0.27 0.33 0.41 0.63 0.85 1.29 1980's 1.96 2.75 3.07 3.37 3.68 3.40 2.94 2.53 2.73 2.74 1990's 2.62 2.48 2.62 2.93 2.66 2.59 3.15 3.11 2.93 1.79 2000's 4.00 4.74 NA -- -- -- - = No Data Reported; -- = Not Applicable;

  3. New Mexico Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) New Mexico Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.16 0.15 0.15 1970's 0.17 0.17 0.18 0.22 0.30 0.39 0.41 0.68 0.79 1.36 1980's 1.78 2.25 2.80 3.10 3.24 2.86 2.31 1.66 1.70 1.63 1990's 1.67 1.36 1.31 1.79 1.61 1.13 1.59 1.94 1.89 1.03 2000's 1.80 1.74 NA -- -- -- - = No Data Reported; -- = Not Applicable;

  4. New York Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) New York Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.26 0.23 0.25 1970's 0.23 0.25 0.26 0.27 0.31 0.39 0.54 0.85 1.07 1.44 1980's 1.95 2.41 3.15 3.44 3.23 3.15 2.53 2.47 2.33 2.64 1990's 2.59 2.71 2.86 3.15 2.21 1.52 2.23 1.89 1.38 1.31 2000's 2.25 2.94 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA

  5. North Carolina Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) North Carolina Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.18 0.19 0.20 1970's 0.19 0.21 0.23 0.23 0.25 0.31 0.46 0.62 0.84 1.30 1980's 1.96 2.89 3.11 3.24 3.28 3.25 3.39 2.43 2.36 2.74 1990's 2.03 1.83 1.86 2.08 2.08 1.77 2.43 3.23 2.61 2.26 2000's 2.42 4.92 NA -- -- -- - = No Data Reported; -- = Not

  6. North Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) North Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.27 0.17 0.17 1970's 0.20 0.20 0.25 0.29 0.31 0.51 0.57 0.75 0.95 1.55 1980's 1.81 2.34 4.11 3.80 3.42 2.77 2.56 2.40 2.49 2.03 1990's 1.61 1.35 1.28 1.84 1.34 1.01 1.70 2.07 1.77 2.12 2000's 3.62 2.14 NA -- -- -- - = No Data Reported; -- = Not

  7. Ohio Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand

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

    Cubic Feet) Price (Dollars per Thousand Cubic Feet) Ohio Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.22 0.23 0.23 1970's 0.23 0.27 0.28 0.30 0.32 0.43 0.53 0.87 1.01 1.37 1980's 1.92 2.33 3.04 3.42 3.28 3.28 2.79 2.64 2.43 2.54 1990's 2.61 2.66 2.83 2.53 2.50 2.03 2.88 2.80 3.20 2.63 2000's 3.41 5.18 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not

  8. Valuation-Based Framework for Considering Distributed Generation Photovoltaic Tariff Design: Preprint

    SciTech Connect (OSTI)

    Zinaman, O. R.; Darghouth, N. R.

    2015-02-01

    While an export tariff is only one element of a larger regulatory framework for distributed generation, we choose to focus on tariff design because of the significant impact this program design component has on the various flows of value among power sector stakeholders. In that context, this paper is organized into a series of steps that can be taken during the design of a DGPV export tariff design. To that end this paper outlines a holistic, high-level approach to the complex undertaking of DGPV tariff design, the crux of which is an iterative cost-benefit analysis process. We propose a multi-step progression that aims to promote transparent, focused, and informed dialogue on CBA study methodologies and assumptions. When studies are completed, the long-run marginal avoided cost of the DGPV program should be compared against the costs imposed on utilities and non-participating customers, recognizing that these can be defined differently depending on program objectives. The results of this comparison can then be weighed against other program objectives to formulate tariff options. Potential changes to tariff structures can be iteratively fed back into established analytical tools to inform further discussions.

  9. Integrated Simulation Development and Decision Support Tool-Set for Utility Market and Distributed Solar Power Generation Electricore, Inc.

    SciTech Connect (OSTI)

    Daye, Tony

    2013-09-30

    This project will enable utilities to develop long-term strategic plans that integrate high levels of renewable energy generation, and to better plan power system operations under high renewable penetration. The program developed forecast data streams for decision support and effective integration of centralized and distributed solar power generation in utility operations. This toolset focused on real time simulation of distributed power generation within utility grids with the emphasis on potential applications in day ahead (market) and real time (reliability) utility operations. The project team developed and demonstrated methodologies for quantifying the impact of distributed solar generation on core utility operations, identified protocols for internal data communication requirements, and worked with utility personnel to adapt the new distributed generation (DG) forecasts seamlessly within existing Load and Generation procedures through a sophisticated DMS. This project supported the objectives of the SunShot Initiative and SUNRISE by enabling core utility operations to enhance their simulation capability to analyze and prepare for the impacts of high penetrations of solar on the power grid. The impact of high penetration solar PV on utility operations is not only limited to control centers, but across many core operations. Benefits of an enhanced DMS using state-of-the-art solar forecast data were demonstrated within this project and have had an immediate direct operational cost savings for Energy Marketing for Day Ahead generation commitments, Real Time Operations, Load Forecasting (at an aggregate system level for Day Ahead), Demand Response, Long term Planning (asset management), Distribution Operations, and core ancillary services as required for balancing and reliability. This provided power system operators with the necessary tools and processes to operate the grid in a reliable manner under high renewable penetration.

  10. The Sensitivity of DPF Performance to the Spatial Distribution of Ash Generated from Six Lubricant Formulations

    Broader source: Energy.gov [DOE]

    Discusses potential of DPF pressure drop reduction by optimizing the spatial distribution of ash inside DPF inlet channel

  11. Integration of Renewables Via Demand Management: Highly Dispatchable and Distributed Demand Response for the Integration of Distributed Generation

    SciTech Connect (OSTI)

    2012-02-11

    GENI Project: AutoGrid, in conjunction with Lawrence Berkeley National Laboratory and Columbia University, will design and demonstrate automated control software that helps manage real-time demand for energy across the electric grid. Known as the Demand Response Optimization and Management System - Real-Time (DROMS-RT), the software will enable personalized price signal to be sent to millions of customers in extremely short timeframesincentivizing them to alter their electricity use in response to grid conditions. This will help grid operators better manage unpredictable demand and supply fluctuations in short time-scales making the power generation process more efficient and cost effective for both suppliers and consumers. DROMS-RT is expected to provide a 90% reduction in the cost of operating demand response and dynamic pricing Projects in the U.S.

  12. PhotoVoltaic distributed generation for Lanai power grid real-time simulation and control integration scenario.

    SciTech Connect (OSTI)

    Robinett, Rush D., III; Kukolich, Keith; Wilson, David Gerald; Schenkman, Benjamin L.

    2010-06-01

    This paper discusses the modeling, analysis, and testing in a real-time simulation environment of the Lanai power grid system for the integration and control of PhotoVoltaic (PV) distributed generation. The Lanai Island in Hawaii is part of the Hawaii Clean Energy Initiative (HCEI) to transition to 30% renewable green energy penetration by 2030. In Lanai the primary loads come from two Castle and Cook Resorts, in addition to residential needs. The total peak load profile is 12470 V, 5.5 MW. Currently there are several diesel generators that meet these loading requirements. As part of the HCEI, Lanai has initially installed 1.2 MW of PV generation. The goal of this study has been to evaluate the impact of the PV with respect to the conventional carbon-based diesel generation in real time simulation. For intermittent PV distributed generation, the overall stability and transient responses are investigated. A simple Lanai 'like' model has been developed in the Matlab/Simulink environment (see Fig. 1) and to accommodate real-time simulation of the hybrid power grid system the Opal-RT Technologies RT-Lab environment is used. The diesel generators have been modelled using the SimPowerSystems toolbox swing equations and a custom Simulink module has been developed for the High level PV generation. All of the loads have been characterized primarily as distribution lines with series resistive load banks with one VAR load bank. Three-phase faults are implemented for each bus. Both conventional and advanced control architectures will be used to evaluate the integration of the PV onto the current power grid system. The baseline numerical results include the stable performance of the power grid during varying cloud cover (PV generation ramping up/down) scenarios. The importance of assessing the real-time scenario is included.

  13. Distributed Generation Study/Aisin Seiki G60 at Hooligans Bar...

    Open Energy Info (EERE)

    Combustion Engine Prime Mover Aisin Seiki G60 Heat Recovery Systems Built-in Fuel Natural Gas System Installer ECO Technical Solutions System Enclosure Outdoor System...

  14. Accounting for fuel price risk when comparing renewable togas-fired generation: the role of forward natural gas prices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2004-07-17

    Unlike natural gas-fired generation, renewable generation (e.g., from wind, solar, and geothermal power) is largely immune to fuel price risk. If ratepayers are rational and value long-term price stability, then--contrary to common practice--any comparison of the levelized cost of renewable to gas-fired generation should be based on a hedged gas price input, rather than an uncertain gas price forecast. This paper compares natural gas prices that can be locked in through futures, swaps, and physical supply contracts to contemporaneous long-term forecasts of spot gas prices. We find that from 2000-2003, forward gas prices for terms of 2-10 years have been considerably higher than most contemporaneous long-term gas price forecasts. This difference is striking, and implies that comparisons between renewable and gas-fired generation based on these forecasts over this period have arguably yielded results that are biased in favor of gas-fired generation.

  15. Connecting to the Grid: A Guide to Distributed Generation Interconnection Issues, 6th Edition, 2009

    Broader source: Energy.gov [DOE]

    This guide addresses issues relevant to all DG technologies, including net excess generation, third-party ownership, energy storage and networks

  16. Comparative life-cycle air emissions of coal, domestic natural gas, LNG, and SNG for electricity generation

    SciTech Connect (OSTI)

    Paulina Jaramillo; W. Michael Griffin; H. Scott Matthews

    2007-09-15

    The U.S. Department of Energy (DOE) estimates that in the coming decades the United States' natural gas (NG) demand for electricity generation will increase. Estimates also suggest that NG supply will increasingly come from imported liquefied natural gas (LNG). Additional supplies of NG could come domestically from the production of synthetic natural gas (SNG) via coal gasification-methanation. The objective of this study is to compare greenhouse gas (GHG), SOx, and NOx life-cycle emissions of electricity generated with NG/LNG/SNG and coal. This life-cycle comparison of air emissions from different fuels can help us better understand the advantages and disadvantages of using coal versus globally sourced NG for electricity generation. Our estimates suggest that with the current fleet of power plants, a mix of domestic NG, LNG, and SNG would have lower GHG emissions than coal. If advanced technologies with carbon capture and sequestration (CCS) are used, however, coal and a mix of domestic NG, LNG, and SNG would have very similar life-cycle GHG emissions. For SOx and NOx we find there are significant emissions in the upstream stages of the NG/LNG life-cycles, which contribute to a larger range in SOx and NOx emissions for NG/LNG than for coal and SNG. 38 refs., 3 figs., 2 tabs.

  17. Development of the next generation medium-duty natural gas engine

    SciTech Connect (OSTI)

    Podnar, D.J.; Kubesh, J.T.

    2000-02-28

    This report summarizes the work done under this subcontract in the areas of System Design, System Fabrication, and Experimental Program. The report contains the details of the engine development process for achieving throttleless stratified charge spark ignition (SI) engine operation as well as advanced turbocharging strategies. Engine test results showing the potential of the direct-injection stratified charge combustion strategy for increasing part-load engine efficiency on a John Deere 8.1-liter natural gas engine are also included in this report. In addition, steady state and step transient engine data are presented that quantify the performance of a variable geometry turbocharger (VGT) as well as a modified waste-gated turbocharger on the engine. The benefits of the technologies investigated during this project will be realized in the form of increased drive-cycle efficiency to diesel-like levels, while retaining the low emissions characteristics of a lean-burn natural gas engine.

  18. PV output smoothing using a battery and natural gas engine-generator.

    SciTech Connect (OSTI)

    Johnson, Jay; Ellis, Abraham; Denda, Atsushi; Morino, Kimio; Shinji, Takao; Ogata, Takao; Tadokoro, Masayuki

    2013-02-01

    In some situations involving weak grids or high penetration scenarios, the variability of photovoltaic systems can affect the local electrical grid. In order to mitigate destabilizing effects of power fluctuations, an energy storage device or other controllable generation or load can be used. This paper describes the development of a controller for coordinated operation of a small gas engine-generator set (genset) and a battery for smoothing PV plant output. There are a number of benefits derived from using a traditional generation resource in combination with the battery; the variability of the photovoltaic system can be reduced to a specific level with a smaller battery and Power Conditioning System (PCS) and the lifetime of the battery can be extended. The controller was designed specifically for a PV/energy storage project (Prosperity) and a gas engine-generator (Mesa Del Sol) currently operating on the same feeder in Albuquerque, New Mexico. A number of smoothing simulations of the Prosperity PV were conducted using power data collected from the site. By adjusting the control parameters, tradeoffs between battery use and ramp rates could be tuned. A cost function was created to optimize the control in order to balance, in this example, the need to have low ramp rates with reducing battery size and operation. Simulations were performed for cases with only a genset or battery, and with and without coordinated control between the genset and battery, e.g., without the communication link between sites or during a communication failure. The degree of smoothing without coordinated control did not change significantly because the battery dominated the smoothing response. It is anticipated that this work will be followed by a field demonstration in the near future.

  19. Utilizing Electric Vehicles to Assist Integration of Large Penetrations of Distributed Photovoltaic Generation Capacity

    SciTech Connect (OSTI)

    Tuffner, Francis K.; Chassin, Forrest S.; Kintner-Meyer, Michael CW; Gowri, Krishnan

    2012-11-30

    Executive Summary Introduction and Motivation This analysis provides the first insights into the leveraging potential of distributed photovoltaic (PV) technologies on rooftop and electric vehicle (EV) charging. Either of the two technologies by themselves - at some high penetrations may cause some voltage control challenges or overloading problems, respectively. But when combined, there at least intuitively could be synergistic effects, whereby one technology mitigates the negative impacts of the other. High penetration of EV charging may overload existing distribution system components, most prominently the secondary transformer. If PV technology is installed at residential premises or anywhere downstream of the secondary transformer, it will provide another electricity source thus, relieving the loading on the transformers. Another synergetic or mitigating effect could be envisioned when high PV penetration reverts the power flow upward in the distribution system (from the homes upstream into the distribution system). Protection schemes may then no longer work and voltage violation (exceeding the voltage upper limited of the ANSI voltage range) may occur. In this particular situation, EV charging could absorb the electricity from the PV, such that the reversal of power flow can be reduced or alleviated. Given these potential mutual synergistic behaviors of PV and EV technologies, this project attempted to quantify the benefits of combining the two technologies. Furthermore, of interest was how advanced EV control strategies may influence the outcome of the synergy between EV charging and distributed PV installations. Particularly, Californian utility companies with high penetration of the distributed PV technology, who have experienced voltage control problems, are interested how intelligent EV charging could support or affect the voltage control

  20. Evaluation of Representative Smart Grid Investment Grant Project Technologies: Distributed Generation

    SciTech Connect (OSTI)

    Singh, Ruchi; Vyakaranam, Bharat GNVSR

    2012-02-14

    This document is one of a series of reports estimating the benefits of deploying technologies similar to those implemented on the Smart Grid Investment Grant (SGIG) projects. Four technical reports cover the various types of technologies deployed in the SGIG projects, distribution automation, demand response, energy storage, and renewables integration. A fifth report in the series examines the benefits of deploying these technologies on a national level. This technical report examines the impacts of addition of renewable resources- solar and wind in the distribution system as deployed in the SGIG projects.

  1. Limited Electricity Generation Supply and Limited Natural Gas Supply Cases (released in AEO2008)

    Reports and Publications (EIA)

    2008-01-01

    Development of U.S. energy resources and the permitting and construction of large energy facilities have become increasingly difficult over the past 20 years, and they could become even more difficult in the future. Growing public concern about global warming and CO2 emissions also casts doubt on future consumption of fossil fuels -- particularly coal, which releases the largest amount of CO2 per unit of energy produced. Even without regulations to limit greenhouse gas emissions in the United States, the investment community may already be limiting the future use of some energy options. In addition, there is considerable uncertainty about the future availability of, and access to, both domestic and foreign natural gas resources.

  2. Asian natural gas

    SciTech Connect (OSTI)

    Klass, D.L. ); Ohashi, T. )

    1989-01-01

    This book presents an overview of the present status and future development in Asia of domestic and export markets for natural gas and to describes gas utilization technologies that will help these markets grow. A perspective of natural gas transmission, transport, distribution, and utilization is presented. The papers in this book are organized under several topics. The topics are : Asian natural gas markets, Technology of natural gas export projects, Technology of domestic natural gas projects, and Natural gas utilization in power generation, air conditioning, and other applications.

  3. NREL: dGen: Distributed Generation Market Demand Model - Model Use

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

    A line chart showing the annual installed gigawatt capacity projected for 2015-2050 showing that a $10 carbon fee could result in having the greatest cost-to-impact compared to the reference and the $25 carbon fee options regarding new capacity and new capacity including rebuilds. Enlarge image Projected national annual DGPV deployment for two hypothetical carbon fees as compared to reference trajectory. A chart showing the projected impact on the installed capacity in megawatts for distributed

  4. Advanced Inverter Technology for High Penetration Levels of PV Generation in Distribution Systems

    SciTech Connect (OSTI)

    Schauder, C.

    2014-03-01

    This subcontract report was completed under the auspices of the NREL/SCE High-Penetration Photovoltaic (PV) Integration Project, which is co-funded by the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) and the California Solar Initiative (CSI) Research, Development, Demonstration, and Deployment (RD&D) program funded by the California Public Utility Commission (CPUC) and managed by Itron. This project is focused on modeling, quantifying, and mitigating the impacts of large utility-scale PV systems (generally 1-5 MW in size) that are interconnected to the distribution system. This report discusses the concerns utilities have when interconnecting large PV systems that interconnect using PV inverters (a specific application of frequency converters). Additionally, a number of capabilities of PV inverters are described that could be implemented to mitigate the distribution system-level impacts of high-penetration PV integration. Finally, the main issues that need to be addressed to ease the interconnection of large PV systems to the distribution system are presented.

  5. Updated greenhouse gas and criteria air pollutant emission factors and their probability distribution functions for electricity generating units

    SciTech Connect (OSTI)

    Cai, H.; Wang, M.; Elgowainy, A.; Han, J.

    2012-07-06

    Greenhouse gas (CO{sub 2}, CH{sub 4} and N{sub 2}O, hereinafter GHG) and criteria air pollutant (CO, NO{sub x}, VOC, PM{sub 10}, PM{sub 2.5} and SO{sub x}, hereinafter CAP) emission factors for various types of power plants burning various fuels with different technologies are important upstream parameters for estimating life-cycle emissions associated with alternative vehicle/fuel systems in the transportation sector, especially electric vehicles. The emission factors are typically expressed in grams of GHG or CAP per kWh of electricity generated by a specific power generation technology. This document describes our approach for updating and expanding GHG and CAP emission factors in the GREET (Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation) model developed at Argonne National Laboratory (see Wang 1999 and the GREET website at http://greet.es.anl.gov/main) for various power generation technologies. These GHG and CAP emissions are used to estimate the impact of electricity use by stationary and transportation applications on their fuel-cycle emissions. The electricity generation mixes and the fuel shares attributable to various combustion technologies at the national, regional and state levels are also updated in this document. The energy conversion efficiencies of electric generating units (EGUs) by fuel type and combustion technology are calculated on the basis of the lower heating values of each fuel, to be consistent with the basis used in GREET for transportation fuels. On the basis of the updated GHG and CAP emission factors and energy efficiencies of EGUs, the probability distribution functions (PDFs), which are functions that describe the relative likelihood for the emission factors and energy efficiencies as random variables to take on a given value by the integral of their own probability distributions, are updated using best-fit statistical curves to characterize the uncertainties associated with GHG and CAP emissions in life-cycle modeling with GREET.

  6. Buildings Energy Data Book: 6.2 Electricity Generation, Transmission, and Distribution

    Buildings Energy Data Book [EERE]

    3 Electric Capacity Factors, by Year and Fuel Type (1) Conventional Coal Petroleum Natural Gas Nuclear Hydroelectric Solar/PV Wind Total 1990 59% 17% 23% 66% 45% 13% 18% 46% 1991 59% 18% 22% 70% 43% 17% 18% 46% 1992 59% 14% 22% 71% 38% 13% 18% 45% 1993 61% 16% 21% 70% 41% 16% 19% 46% 1994 61% 15% 22% 74% 38% 17% 23% 46% 1995 62% 11% 22% 77% 45% 17% 21% 47% 1996 65% 11% 19% 76% 52% 18% 22% 48% 1997 66% 13% 20% 72% 51% 17% 23% 48% 1998 67% 20% 23% 79% 47% 17% 20% 50% 1999 67% 20% 22% 85% 46% 15%

  7. Buildings Energy Data Book: 6.2 Electricity Generation, Transmission, and Distribution

    Buildings Energy Data Book [EERE]

    5 2010 Impacts of Saving an Electric Quad (1) Utility Average-Sized Aggregate Number of Units Fuel Input Utility Unit (MW) to Provide the Fuel's Share Plant Fuel Type Shares (%) in 2010 of the Electric Quad (2) Coal 49% 36 Petroleum 1% 96 Natural Gas 19% 141 Nuclear 22% 3 Renewable (3) 10% 184 Total 100% 460 Note(s): Source(s): EIA, Electric Power Annual 2010, Feb. 2012, Table 1.2; and EIA, Annual Energy Outlook 2012 Early Release, Jan. 2012, Table A2 for consumption and Table A8 for electricity

  8. Buildings Energy Data Book: 6.2 Electricity Generation, Transmission, and Distribution

    Buildings Energy Data Book [EERE]

    7 Characteristics of New and Stock Generating Capacities, by Plant Type Total Capital Costs Size Overnight Costs (2) of Typical New Plant New Plant Type (MW) (2010 $/kW) ($2010 million) Scrubbed Coal 1300 2809 3652 Integrated Coal-Gasification Combined Cycle (IGCC) 1200 3182 3818 IGCC w/Carbon Sequestration 520 5287 2749 Conv. Gas/Oil Combined Cycle 540 967 522 Adv. Gas/Oil Combined Cycle 400 991 396 Conv. Combustion Turbine 85 961 82 Adv. Combustion Turbine 210 658 138 Fuel Cell 10 6752 68

  9. Buildings Energy Data Book: 6.2 Electricity Generation, Transmission, and Distribution

    Buildings Energy Data Book [EERE]

    4 Electric Conversion Factors and Transmission and Distribution (T&D) Losses Average Utility Average Utility Growth Rate Delivery Efficiency (1, 2) Delivery Ratio (Btu/kWh) (2, 3) (2010-year) 1980 29.4% 1981 29.9% 1982 29.7% 1983 29.8% 1984 30.5% 1985 30.4% 1986 30.8% 1987 31.1% 1988 31.1% 1989 30.2% 1990 30.3% 1991 30.5% 1992 30.7% 1993 30.6% 1994 30.9% 1995 30.7% 1996 30.7% 1997 30.8% 1998 30.7% 1999 30.6% 2000 30.7% 2001 31.1% 2002 31.1% 2003 31.3% 2004 31.3% 2005 31.5% 2006 31.7% 2007

  10. Magnetic field distribution in the plasma flow generated by a plasma focus discharge

    SciTech Connect (OSTI)

    Mitrofanov, K. N.; Krauz, V. I. Myalton, V. V.; Velikhov, E. P.; Vinogradov, V. P.; Vinogradova, Yu. V.

    2014-11-15

    The magnetic field in the plasma jet propagating from the plasma pinch region along the axis of the chamber in a megajoule PF-3 plasma focus facility is studied. The dynamics of plasma with a trapped magnetic flow is analyzed. The spatial sizes of the plasma jet region in which the magnetic field concentrates are determined in the radial and axial directions. The magnetic field configuration in the plasma jet is investigated: the radial distribution of the azimuthal component of the magnetic field inside the jet is determined. It is shown that the magnetic induction vector at a given point in space can change its direction during the plasma flight. Conclusions regarding the symmetry of the plasma flow propagation relative to the chamber axis are drawn.

  11. Buildings Energy Data Book: 6.3 Natural Gas Production and Distribution

    Buildings Energy Data Book [EERE]

    3 Natural Gas Well Productivity Gross Withdrawals from Wells Producing Wells Average Productivity (billion cubic feet) (thousand) (thousand cubic feet per day) 1980 182 1990 269 2000 276 2001 373 2002 388 2003 393 2004 406 2005 426 2006 441 2007 453 2008 477 2009 493 2010 510 Source(s): 14,760 28,934 EIA, Annual Energy Review 2010, Oct. 2011, Table 6.4. 17,065 37,676 15,618 32,767 14,839 30,094 17,885 44,036 17,472 41,025 17,996 40,851 18,129 48,565 17,795 45,890 17,882 45,463 17,573 96,550

  12. Buildings Energy Data Book: 6.3 Natural Gas Production and Distribution

    Buildings Energy Data Book [EERE]

    6 Top 10 Natural Gas Producing States, 2009 and 2010 (1) Gas Production in 2009 Gas Production in 2010 Marketed Production (2) Share of Marketed Production Share of State (billion cubic feet) U.S. Production State (billion cubic feet) U.S. Production 1. Texas 6,819 30% 1. Texas 6,715 30% 2. Wyoming 2,335 10% 2. Wyoming 2,306 10% 3. Oklahoma 1,858 8% 3. Louisiana 2,210 10% 4. Louisiana 1,549 7% 4. Oklahoma 1,827 8% 5. Colorado 1,499 7% 5. Colorado 1,578 7% 6. New Mexico 1,383 6% 6. New Mexico

  13. Buildings Energy Data Book: 6.3 Natural Gas Production and Distribution

    Buildings Energy Data Book [EERE]

    1 Natural Gas Overview (Trillion Cubic Feet) Supplemental Net Storage Balancing Production Gas Import Withdrawal Item (1) Consumption (2) 1980 19.40 0.15 0.94 0.02 -0.64 19.88 1981 19.18 0.18 0.84 -0.30 -0.50 19.40 1982 17.82 0.14 0.88 -0.31 -0.54 18.00 1983 16.09 0.13 0.86 0.45 -0.70 16.83 1984 17.47 0.11 0.79 -0.20 -0.22 17.95 1985 16.45 0.13 0.89 0.23 -0.43 17.28 1986 16.06 0.11 0.69 -0.15 -0.49 16.22 1987 16.62 0.10 0.94 -0.01 -0.44 17.21 1988 17.10 0.10 1.22 0.06 -0.45 18.03 1989 17.31 0.11

  14. Buildings Energy Data Book: 6.3 Natural Gas Production and Distribution

    Buildings Energy Data Book [EERE]

    5 Natural Gas Consumption, by Sector (Trillion Cubic Feet) Residential Commercial Industrial Transportation Electric Power Total 1980 4.75 2.61 8.20 0.63 3.68 19.88 1981 4.55 2.52 8.06 0.64 3.64 19.40 1982 4.63 2.61 6.94 0.60 3.23 18.00 1983 4.38 2.43 6.62 0.49 2.91 16.83 1984 4.56 2.52 7.23 0.53 3.11 17.95 1985 4.43 2.43 6.87 0.50 3.04 17.28 1986 4.31 2.32 6.50 0.49 2.60 16.22 1987 4.31 2.43 7.10 0.52 2.84 17.21 1988 4.63 2.67 7.48 0.61 2.64 18.03 1989 4.78 2.72 7.89 0.63 3.11 19.12 1990 4.39

  15. Comparing Statewide Economic Impacts of New Generation from Wind, Coal, and Natural Gas in Arizona, Colorado, and Michigan

    SciTech Connect (OSTI)

    Tegen, S.

    2006-05-01

    With increasing concerns about energy independence, job outsourcing, and risks of global climate change, it is important for policy makers to understand all impacts from their decisions about energy resources. This paper assesses one aspect of the impacts: direct economic effects. The paper compares impacts to states from equivalent new electrical generation from wind, natural gas, and coal. Economic impacts include materials and labor for construction, operations, maintenance, fuel extraction, and fuel transport, as well as project financing, property tax, and landowner revenues. We examine spending on plant construction during construction years, in addition to all other operational expenditures over a 20-year span. Initial results indicate that adding new wind power can be more economically effective than adding new gas or coal power and that a higher percentage of dollars spent on coal and gas will leave the state. For this report, we interviewed industry representatives and energy experts, in addition to consulting government documents, models, and existing literature. The methodology for this research can be adapted to other contexts for determining economic effects of new power generation in other states and regions.

  16. CFD study of natural convection mixing in a steam generator mock-up: Comparison between full geometry and porous media approaches

    SciTech Connect (OSTI)

    Dehbi, A.; Badreddine, H.

    2012-07-01

    In CFD simulations of flow mixing in a steam generator (SG) during natural circulation, one is faced with the problem of representing the thousands of SG U-tubes. Typically simplifications are made to render the problem computationally tractable. In particular, one or a number of tubes are lumped in one volume which is treated as a single porous medium. This approach dramatically reduces the computational size of the problem and hence simulation time. In this work, we endeavor to investigate the adequacy of this approach by performing two separate simulations of flow in a mock-up with 262 U-tubes, i.e. one in which the porous media model is used for the tube bundle, and another in which the full geometry is represented. In both simulations, the Reynolds Stress (RMS) model of turbulence is used. We show that in steady state conditions, the porous media treatment yields results which are comparable to those of the full geometry representation (temperature distribution, recirculation ratio, hot plume spread, etc). Hence, the porous media approach can be extended with a good degree of confidence to the full scale SG. (authors)

  17. The potential for distributed generation in Japanese prototype buildings: A DER-CAM analysis of policy, tariff design, building energy use, and technology development (Japanese translation)

    SciTech Connect (OSTI)

    Zhou, Nan; Marnay, Chris; Firestone, Ryan; Gao, Weijun; Nishida, Masaru

    2004-10-15

    The August 2003 blackout of the northeastern U.S. and CANADA caused great economic losses and inconvenience to New York City and other affected areas. The blackout was a warning to the rest of the world that the ability of conventional power systems to meet growing electricity demand is questionable. Failure of large power systems can lead to serious emergencies. Introduction of on-site generation, renewable energy such as solar and wind power and the effective utilization of exhaust heat is needed, to meet the growing energy demands of the residential and commercial sectors. Additional benefit can be achieved by integrating these distributed technologies into distributed energy resource (DER) systems. This work demonstrates a method for choosing and designing economically optimal DER systems. An additional purpose of this research is to establish a database of energy tariffs, DER technology cost and performance characteristics, and building energy consumption for Japan. This research builds on prior DER studies at the Ernest Orlando Lawrence Berkeley National Laboratory (LBNL) and with their associates in the Consortium for Electric Reliability Technology Solutions (CERTS) and operation, including the development of the microgrid concept, and the DER selection optimization program, the Distributed Energy Resources Customer Adoption Model (DER-CAM). DER-CAM is a tool designed to find the optimal combination of installed equipment and an idealized operating schedule to minimize a site's energy bills, given performance and cost data on available DER technologies, utility tariffs, and site electrical and thermal loads over a test period, usually an historic year. Since hourly electric and thermal energy data are rarely available, they are typically developed by building simulation for each of six end use loads used to model the building: electric-only loads, space heating, space cooling, refrigeration, water heating, and natural-gas-only loads. DER-CAM provides a global optimization, albeit idealized, that shows how the necessary useful energy loads can be provided for at minimum cost by selection and operation of on-site generation, heat recovery, cooling, and efficiency improvements. This study examines five prototype commercial buildings and uses DER-CAM to select the economically optimal DER system for each. The five building types are office, hospital, hotel, retail, and sports facility. Each building type was considered for both 5,000 and 10,000 square meter floor sizes. The energy consumption of these building types is based on building energy simulation and published literature. Based on the optimization results, energy conservation and the emissions reduction were also evaluated. Furthermore, a comparison study between Japan and the U.S. has been conducted covering the policy, technology and the utility tariffs effects on DER systems installations.

  18. Distribution Workshop | Department of Energy

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

    Variable distributed generation Dispatchable distributed generation Electric vehicle charging and electrolyzers Energy storage Building and industrial loads and demand response ...

  19. The potential for distributed generation in Japanese prototype buildings: A DER-CAM analysis of policy, tariff design, building energy use, and technology development (English Version)

    SciTech Connect (OSTI)

    Zhou, Nan; Marnay, Chris; Firestone, Ryan; Gao, Weijun; Nishida, Masaru

    2004-10-15

    The August 2003 blackout of the northeastern U.S. and CANADA caused great economic losses and inconvenience to New York City and other affected areas. The blackout was a warning to the rest of the world that the ability of conventional power systems to meet growing electricity demand is questionable. Failure of large power systems can lead to serious emergencies. Introduction of on-site generation, renewable energy such as solar and wind power and the effective utilization of exhaust heat is needed, to meet the growing energy demands of the residential and commercial sectors. Additional benefit can be achieved by integrating these distributed technologies into distributed energy resource (DER) systems. This work demonstrates a method for choosing and designing economically optimal DER systems. An additional purpose of this research is to establish a database of energy tariffs, DER technology cost and performance characteristics, and building energy consumption for Japan. This research builds on prior DER studies at the Ernest Orlando Lawrence Berkeley National Laboratory (LBNL) and with their associates in the Consortium for Electric Reliability Technology Solutions (CERTS) and operation, including the development of the microgrid concept, and the DER selection optimization program, the Distributed Energy Resources Customer Adoption Model (DER-CAM). DER-CAM is a tool designed to find the optimal combination of installed equipment and an idealized operating schedule to minimize a site's energy bills, given performance and cost data on available DER technologies, utility tariffs, and site electrical and thermal loads over a test period, usually an historic year. Since hourly electric and thermal energy data are rarely available, they are typically developed by building simulation for each of six end use loads used to model the building: electric-only loads, space heating, space cooling, refrigeration, water heating, and natural-gas-only loads. DER-CAM provides a global optimization, albeit idealized, that shows how the necessary useful energy loads can be provided for at minimum cost by selection and operation of on-site generation, heat recovery, cooling, and efficiency improvements. This study examines five prototype commercial buildings and uses DER-CAM to select the economically optimal DER system for each. The five building types are office, hospital, hotel, retail, and sports facility. Each building type was considered for both 5,000 and 10,000 square meter floor sizes. The energy consumption of these building types is based on building energy simulation and published literature. Based on the optimization results, energy conservation and the emissions reduction were also evaluated. Furthermore, a comparison study between Japan and the U.S. has been conducted covering the policy, technology and the utility tariffs effects on DER systems installations. This study begins with an examination of existing DER research. Building energy loads were then generated through simulation (DOE-2) and scaled to match available load data in the literature. Energy tariffs in Japan and the U.S. were then compared: electricity prices did not differ significantly, while commercial gas prices in Japan are much higher than in the U.S. For smaller DER systems, the installation costs in Japan are more than twice those in the U.S., but this difference becomes smaller with larger systems. In Japan, DER systems are eligible for a 1/3 rebate of installation costs, while subsidies in the U.S. vary significantly by region and application. For 10,000 m{sup 2} buildings, significant decreases in fuel consumption, carbon emissions, and energy costs were seen in the economically optimal results. This was most noticeable in the sports facility, followed the hospital and hotel. This research demonstrates that office buildings can benefit from CHP, in contrast to popular opinion. For hospitals and sports facilities, the use of waste heat is particularly effective for water and space heating. For the other building types, waste heat is most effectively used for both heating and cooling. The same examination was done for the 5,000 m{sup 2} buildings. Although CHP installation capacity is smaller and the payback periods are longer, economic, fuel efficiency, and environmental benefits are still seen. While these benefits remain even when subsidies are removed, the increased installation costs lead to lower levels of installation capacity and thus benefit.

  20. Controlling Methane Emissions in the Natural Gas Sector. A Review of Federal and State Regulatory Frameworks Governing Production, Gathering, Processing, Transmission, and Distribution

    SciTech Connect (OSTI)

    Paranhos, Elizabeth; Kozak, Tracy G.; Boyd, William; Bradbury, James; Steinberg, D. C.; Arent, D. J.

    2015-04-23

    This report provides an overview of the regulatory frameworks governing natural gas supply chain infrastructure siting, construction, operation, and maintenance. Information was drawn from a number of sources, including published analyses, government reports, in addition to relevant statutes, court decisions and regulatory language, as needed. The scope includes all onshore facilities that contribute to methane emissions from the natural gas sector, focusing on three areas of state and federal regulations: (1) natural gas pipeline infrastructure siting and transportation service (including gathering, transmission, and distribution pipelines), (2) natural gas pipeline safety, and (3) air emissions associated with the natural gas supply chain. In addition, the report identifies the incentives under current regulatory frameworks to invest in measures to reduce leakage, as well as the barriers facing investment in infrastructure improvement to reduce leakage. Policy recommendations regarding how federal or state authorities could regulate methane emissions are not provided; rather, existing frameworks are identified and some of the options for modifying existing regulations or adopting new regulations to reduce methane leakage are discussed.

  1. Net Metering Policy Development and Distributed Solar Generation in Minnesota: Overview of Trends in Nationwide Policy Development and Implications of Increasing the Eligible System Size Cap

    SciTech Connect (OSTI)

    Doris, E.; Busche, S.; Hockett, S.

    2009-12-01

    The goal of the Minnesota net metering policy is to give the maximum possible encouragement to distributed generation assets, especially solar electric systems (MN 2008). However, according to a published set of best practices (NNEC 2008) that prioritize the maximum development of solar markets within states, the Minnesota policy does not incorporate many of the important best practices that may help other states transform their solar energy markets and increase the amount of grid-connected distributed solar generation assets. Reasons cited include the low system size limit of 40kW (the best practices document recommends a 2 MW limit) and a lack of language protecting generators from additional utility fees. This study was conducted to compare Minnesota's policies to national best practices. It provides an overview of the current Minnesota policy in the context of these best practices and other jurisdictions' net metering policies, as well as a qualitative assessment of the impacts of raising the system size cap within the policy based on the experiences of other states.

  2. Fuel Cell Power Model Version 2: Startup Guide, System Designs, and Case Studies. Modeling Electricity, Heat, and Hydrogen Generation from Fuel Cell-Based Distributed Energy Systems

    SciTech Connect (OSTI)

    Steward, D.; Penev, M.; Saur, G.; Becker, W.; Zuboy, J.

    2013-06-01

    This guide helps users get started with the U.S. Department of Energy/National Renewable Energy Laboratory Fuel Cell Power (FCPower) Model Version 2, which is a Microsoft Excel workbook that analyzes the technical and economic aspects of high-temperature fuel cell-based distributed energy systems with the aim of providing consistent, transparent, comparable results. This type of energy system would provide onsite-generated heat and electricity to large end users such as hospitals and office complexes. The hydrogen produced could be used for fueling vehicles or stored for later conversion to electricity.

  3. Methods for Analyzing the Benefits and Costs of Distributed Photovoltaic Generation to the U.S. Electric Utility System

    SciTech Connect (OSTI)

    Denholm, P.; Margolis, R.; Palmintier, B.; Barrows, C.; Ibanez, E.; Bird, L.; Zuboy, J.

    2014-09-01

    This report outlines the methods, data, and tools that could be used at different levels of sophistication and effort to estimate the benefits and costs of DGPV. In so doing, we identify the gaps in current benefit-cost-analysis methods, which we hope will inform the ongoing research agenda in this area. The focus of this report is primarily on benefits and costs from the utility or electricity generation system perspective. It is intended to provide useful background information to utility and regulatory decision makers and their staff, who are often being asked to use or evaluate estimates of the benefits and cost of DGPV in regulatory proceedings. Understanding the technical rigor of the range of methods and how they might need to evolve as DGPV becomes a more significant contributor of energy to the electricity system will help them be better consumers of this type of information. This report is also intended to provide information to utilities, policy makers, PV technology developers, and other stakeholders, which might help them maximize the benefits and minimize the costs of integrating DGPV into a changing electricity system.

  4. Distribution, volume, and depositional origin of Upper Eocene bolide-generated sediments along the U. S. East Coast

    SciTech Connect (OSTI)

    Poag, C.W.; Poppe, L.J. (Geological Survey, Woods Hole, MA (United States)); Powars, D.S.; Mixon, R.B. (Geological Survey, Reston, VA (United States))

    1992-01-01

    Upper Eocene bolidites (bolide-generated sedimentary deposits) appear to form a continuous coastwise band, 600 km long and 30--100 km wide, from North Carolina to New Jersey (> 65,000 km[sup 2]). The authors sampled these deposits in 14 boreholes (cores and rotary cuttings) and identified them on 36 offshore seismic-reflection profiles. Cores from the bolidites contain allogenic phenoclasts and fossils, as well as shock-altered minerals and tektite glass. On seismic profiles, the bolidites commonly exhibit interrupted, chaotic reflections and fill elongate or ovate excavations. Maximum bolidite thickness offshore is 500m in the presumed impact crater (New Jersey Continental Shelf); maximum thickness onshore is > 60m (southeastern Virginia). Estimated bolidite volume is at least 1,700km[sup 3]. Disparate depositional processes formed four types of bolidites: (1) chaotic fill within the impact crater; (2) stratified( ) ejecta around the crater; (3) ejecta-bearing debrite at Deep Sea Drilling Project Site 612 (New Jersey slope); and (4) impact tsunamiite in North Carolina, Virginia, Maryland, and New Jersey.

  5. EIA - Distributed Generation in Buildings

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

    Glossary FAQS Overview Projection Data Monthly ... Major Topics Most popular Annual Energy Outlook related ... Residential Commercial Renewable Solar photovoltaic Wind ...

  6. Natural Gas Pipeline & Distribution Use

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

    Colorado 14,095 13,952 10,797 9,107 8,451 1997-2014 Connecticut 6,739 6,302 4,747 4,381 ... Kansas 24,305 23,225 19,842 22,586 22,588 1997-2014 Kentucky 13,708 12,451 8,604 7,157 ...

  7. Natural Gas Pipeline & Distribution Use

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

    70,174 674,124 687,784 730,790 833,061 835,757 1997-2014 Alabama 18,849 22,124 23,091 25,349 22,166 18,688 1997-2014 Alaska 2,318 3,284 3,409 3,974 544 309 1997-2014 Arizona 20,846...

  8. Model documentation natural gas transmission and distribution model (NGTDM) of the national energy modeling system. Volume II: Model developer`s report

    SciTech Connect (OSTI)

    Not Available

    1995-01-03

    To partially fulfill the requirements for {open_quotes}Model Acceptance{close_quotes} as stipulated in EIA Standard 91-01-01 (effective February 3, 1991), the Office of Integrated Analysis and Forecasting has conducted tests of the Natural Gas Transmission and Distribution Model (NGTDM) for the specific purpose of validating the forecasting model. This volume of the model documentation presents the results of {open_quotes}one-at-a-time{close_quotes} sensitivity tests conducted in support of this validation effort. The test results are presented in the following forms: (1) Tables of important model outputs for the years 2000 and 2010 are presented with respect to change in each input from the reference case; (2) Tables of percent changes from base case results for the years 2000 and 2010 are presented for important model outputs; (3) Tables of conditional sensitivities (percent change in output/percent change in input) for the years 2000 and 2010 are presented for important model outputs; (4) Finally, graphs presenting the percent change from base case results for each year of the forecast period are presented for selected key outputs. To conduct the sensitivity tests, two main assumptions are made in order to test the performance characteristics of the model itself and facilitate the understanding of the effects of the changes in the key input variables to the model on the selected key output variables: (1) responses to the amount demanded do not occur since there are no feedbacks of inputs from other NEMS models in the stand-alone NGTDM run. (2) All the export and import quantities from and to Canada and Mexico, and liquefied natural gas (LNG) imports and exports are held fixed (i.e., there are no changes in imports and exports between the reference case and the sensitivity cases) throughout the forecast period.

  9. ITP Industrial Distributed Energy: Distributed Energy Program...

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

    PROGRAM PROJECT PROFILE Distributed Energy Project Profile * Verizon System Technical Overview During ... to the grid-a connected generation limit of 3 MVA set by the ...

  10. Natural Gas Weekly Update

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

    prices using spot prices from producing areas, plus an allowance for interstate natural gas pipeline and local distribution company charges to transport the gas to market. Such a...

  11. Assumption to the Annual Energy Outlook 2014 - Natural Gas Transmissi...

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

    Transmission and Distribution Module This page inTenTionally lefT blank Natural Gas Transmission and Distribution Module The NEMS Natural Gas Transmission and Distribution Module...

  12. Generation Disclosure | Open Energy Information

    Open Energy Info (EERE)

    StateProvincial Govt Systems Integrator Transportation Tribal Government Utility Natural Gas Yes Competitive Bidding Process for Electric Distribution Companies'...

  13. Natural gas monthly, July 1996

    SciTech Connect (OSTI)

    1996-07-01

    This document presents information pertaining to the natural gas industry. Data are included on production, consumption, distribution, and pipeline activities.

  14. Homeowners: Respond to Natural Gas Disruptions | Department of...

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

    Natural Gas Disruptions Homeowners: Respond to Natural Gas Disruptions Homeowners: Respond to Natural Gas Disruptions Because natural gas is distributed through underground ...

  15. Local Leaders: Respond to Natural Gas Disruptions | Department...

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

    Natural Gas Disruptions Local Leaders: Respond to Natural Gas Disruptions Local Leaders: Respond to Natural Gas Disruptions Because natural gas is distributed through underground ...

  16. Distributed Power Inc | Open Energy Information

    Open Energy Info (EERE)

    Distributed Power Inc Place: Lime Rock, Connecticut Zip: 6039 Product: Focused on distributed generation power technology. References: Distributed Power Inc1 This article is a...

  17. Thermodynamic estimation of minor element distribution between immiscible liquids in Fe-Cu-based metal phase generated in melting treatment of municipal solid wastes

    SciTech Connect (OSTI)

    Lu, X.; Nakajima, K.; Sakanakura, H.; Matsubae, K.; Bai, H.; Nagasaka, T.

    2012-06-15

    Graphical abstract: Display Omitted Highlights: Black-Right-Pointing-Pointer Two liquids separation of metal occurs in the melting of municipal solid waste. Black-Right-Pointing-Pointer The distribution of PGMs etc. between two liquid metal phases is studied. Black-Right-Pointing-Pointer Quite simple thermodynamic model is applied to predict the distribution ratio. Black-Right-Pointing-Pointer Au and Ag originated from WEEE are found to be concentrated into Cu-rich phase. - Abstract: Waste electrical and electronic equipment (WEEE) has become an important target in managing material cycles from the viewpoint of not only waste management and control of environmental pollution but also resource conservation. This study investigated the distribution tendency of trace elements in municipal solid waste (MSW) or incinerator ash, including valuable non-ferrous metals (Ni, Co, Cr, Mn, Mo, Ti, V, W, Zr), precious group metals (PGMs) originated from WEEE (Ag, Au, Pd, Pt), and others (Al, B, Pb, Si), between Fe-rich and Cu-rich metal phases by means of simple thermodynamic calculations. Most of the typical alloying elements for steel (Co, Cr, Mo, Nb, Ni, Si, Ti, V, and W) and Rh were preferentially distributed into the Fe-rich phase. PGMs, such as Au, Ag, and Pd, were enriched in the Cu-rich phase, whereas Pt was almost equally distributed into both phases. Since the primary metallurgical processing of Cu is followed by an electrolysis for refining, and since PGMs in crude copper have been industrially recovered from the resulting anode slime, our results indicated that Ag, Au, and Pd could be effectively recovered from MSW if the Cu-rich phase could be selectively collected.

  18. Ultrasonic generator and detector using an optical mask having a grating for launching a plurality of spatially distributed, time varying strain pulses in a sample

    DOE Patents [OSTI]

    Maris, Humphrey J. (Barrington, RI)

    2002-01-01

    A method and a system are disclosed for determining at least one characteristic of a sample that contains a substrate and at least one film disposed on or over a surface of the substrate. The method includes a first step of placing a mask over a free surface of the at least one film, where the mask has a top surface and a bottom surface that is placed adjacent to the free surface of the film. The bottom surface of the mask has formed therein or thereon a plurality of features for forming at least one grating. A next step directs optical pump pulses through the mask to the free surface of the film, where individual ones of the pump pulses are followed by at least one optical probe pulse. The pump pulses are spatially distributed by the grating for launching a plurality of spatially distributed, time varying strain pulses within the film, which cause a detectable change in optical constants of the film. A next step detects a reflected or a transmitted portion of the probe pulses, which are also spatially distributed by the grating. A next step measures a change in at least one characteristic of at least one of reflected or transmitted probe pulses due to the change in optical constants, and a further step determines the at least one characteristic of the sample from the measured change in the at least one characteristic of the probe pulses. An optical mask is also disclosed herein, and forms a part of these teachings.

  19. Ultrasonic generator and detector using an optical mask having a grating for launching a plurality of spatially distributed, time varying strain pulses in a sample

    DOE Patents [OSTI]

    Maris, Humphrey J. (Barrington, RI)

    2003-01-01

    A method and a system are disclosed for determining at least one characteristic of a sample that contains a substrate and at least one film disposed on or over a surface of the substrate. The method includes a first step of placing a mask over a free surface of the at least one film, where the mask has a top surface and a bottom surface that is placed adjacent to the free surface of the film. The bottom surface of the mask has formed therein or thereon a plurality of features for forming at least one grating. A next step directs optical pump pulses through the mask to the free surface of the film, where individual ones of the pump pulses are followed by at least one optical probe pulse. The pump pulses are spatially distributed by the grating for launching a plurality of spatially distributed, time varying strain pulses within the film, which cause a detectable change in optical constants of the film. A next step detects a reflected or a transmitted portion of the probe pulses, which are also spatially distributed by the grating. A next step measures a change in at least one characteristic of at least one of reflected or transmitted probe pulses due to the change in optical constants, and a further step determines the at least one characteristic of the sample from the measured change in the at least one characteristic of the probe pulses. An optical mask is also disclosed herein, and forms a part of these teachings.

  20. Natural Gas Weekly Update

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

    August 3 (next release 2:00 p.m. on August 10, 2006) Natural gas spot prices increased sharply this week (Wednesday-Wednesday, July 26 - August 2), as demand for power generation...

  1. Natural Gas Weekly Update

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

    this week led to decreases in consumption of natural gas for power generation. Power burn fell almost 4 percent week over week, according to data from Bentek Energy Services,...

  2. Natural gas monthly, August 1997

    SciTech Connect (OSTI)

    1997-08-01

    This report presents information on natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported.

  3. Intelligent Generation | Open Energy Information

    Open Energy Info (EERE)

    Chicago, Illinois Zip: 60603 Sector: Renewable Energy Product: Chicago-based maker of software aimed at optimising distributed renewable energy generation and power storage....

  4. EIA - Natural Gas Pipeline Network - Underground Natural Gas Storage

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

    Storage About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Underground Natural Gas Storage Overview | Regional Breakdowns Overview Underground natural gas storage provides pipelines, local distribution companies, producers, and pipeline shippers with an inventory management tool, seasonal supply backup, and access to natural gas needed to avoid imbalances between receipts and deliveries on a pipeline network. There are three

  5. Magnetic field generator

    DOE Patents [OSTI]

    Krienin, Frank (Shoreham, NY)

    1990-01-01

    A magnetic field generating device provides a useful magnetic field within a specific retgion, while keeping nearby surrounding regions virtually field free. By placing an appropriate current density along a flux line of the source, the stray field effects of the generator may be contained. One current carrying structure may support a truncated cosine distribution, and it may be surrounded by a current structure which follows a flux line that would occur in a full coaxial double cosine distribution. Strong magnetic fields may be generated and contained using superconducting cables to approximate required current surfaces.

  6. Workshop Summary Report: R&D for Dispatchable Distributed Energy

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

    ... Global Distributed Generation Deployment Forecast, December 2014. Distributed generation ... system operator's ability to accurately forecast load, a situation that could become ...

  7. Enhancing the Smart Grid: Integrating Clean Distributed and Renewable...

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

    Enhancing the Smart Grid: Integrating Clean Distributed and Renewable Generation Enhancing the Smart Grid: Integrating Clean Distributed and Renewable Generation Imagine a grid ...

  8. Distributed Generation Financial Incentives and Programs Resources...

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

    clean energy financing, personal and corporate tax incentives (credits, ... Schools Renewable Energy Project Finance: Financing Renewable Energy at Government ...

  9. Distributed Generation Lead-by-Example Resources

    Broader source: Energy.gov [DOE]

    State governments can lead by example by promoting renewable energy programs and policies. Efforts to lead by example include using renewable energy resources (including alternative fuel for...

  10. Distributed Generation: Challenges and Opportunities, 7. edition...

    Office of Scientific and Technical Information (OSTI)

    ANALYSIS; CAPACITY; STIRLING ENGINES; PHOTOVOLTAIC POWER SUPPLIES; SOLAR ENERGY; WIND POWER; FUEL CELLS Word Cloud More Like This Full Text Miscellaneous Please see Document ...

  11. Feasibility Study of Sustainable Distributed Generation Technologies...

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

    Introduction to Duck Valley * High Desert * Very Remote * Primary Industries - Ranching - Fishing and Hunting - Agriculture - Tribal Government - Indian Health Services Feasibility ...

  12. Distributed Generation Technologies DGT | Open Energy Information

    Open Energy Info (EERE)

    Commercializing a technology to convert organic waste into pure and compressed methane gas via anaerobic digestion. Coordinates: 39.93746, -84.553194 Show Map Loading...

  13. Clean distributed generation performance and cost analysis

    SciTech Connect (OSTI)

    None, None

    2004-04-01

    This assessment examined the performance, cost, and timing of ultra-low emissions CHP technologies driven by certain air quality regions in the U.S.

  14. Natural Gas Pipeline & Distribution Use

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

    60,082 62,711 70,675 81,324 98,110 84,622 2001

  15. Agenda: Natural Gas: Transmission, Storage and Distribution ...

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

    A Public Meeting on the Quadrennial Energy Review, Hosted by the United States Department of Energy Monday, July 21, 2014 Rashid Auditorium - Hillman Center Carnegie Mellon ...

  16. Integrated Distribution Planning Concept Paper

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

    Distribution Planning Concept Paper www.irecusa.org A Proactive Approach for Accommodating High Penetrations of Distributed Generation Resources May 2013 Integrated Distribution Planning Concept Paper A Proactive Approach for Accommodating High Penetrations of Distributed Generation Resources Tim Lindl and Kevin Fox Interstate Renewable Energy Council, Inc. Abraham Ellis and Robert Broderick Sandia National Laboratories May 2013 IREC enables greater use of clean energy in a sustainable way by

  17. EIS Distribution

    Broader source: Energy.gov [DOE]

    This DOE guidance presents a series of recommendations related to the EIS distribution process, which includes creating and updating a distribution list, distributing an EIS, and filing an EIS with the EPA.

  18. Natural gas monthly, June 1993

    SciTech Connect (OSTI)

    Not Available

    1993-06-22

    The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information.

  19. Natural gas monthly, July 1993

    SciTech Connect (OSTI)

    Not Available

    1993-07-27

    The Natural Gas Monthly NGM highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information.

  20. Natural gas monthly, September 1995

    SciTech Connect (OSTI)

    1995-09-27

    The (NGM) Natural Gas Monthly highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information.

  1. Natural gas monthly, April 1995

    SciTech Connect (OSTI)

    1995-04-27

    The Natural Gas Monthly highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. 6 figs., 31 tabs.

  2. Natural gas monthly, April 1999

    SciTech Connect (OSTI)

    1999-05-06

    The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. There are two feature articles in this issue: Natural gas 1998: Issues and trends, Executive summary; and Special report: Natural gas 1998: A preliminary summary. 6 figs., 28 tabs.

  3. Natural gas industry directory

    SciTech Connect (OSTI)

    1999-11-01

    This directory has information on the following: associations and organizations; exploration and production; gas compression; gas processors; gathering and transmission companies; liquefied natural gas; local distribution companies; marketing firms; regulatory agencies; service companies; suppliers and manufacturers; and regional buyer`s guide.

  4. Quadrennial Technology Review's Alternative Generation Workshop Slides |

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

    Department of Energy Review's Alternative Generation Workshop Slides Quadrennial Technology Review's Alternative Generation Workshop Slides Preliminary Slides for Alternative Generation Workshop including Carbon Capture and Sequestration, Nuclear Power, Wind Power, Water Power, Geothermal Energy, and Fuel Cells for Distributed Generation. PDF icon Quadrennial Technology Review's Alternative Generation Workshop Slides More Documents & Publications Department of Energy Quadrennial

  5. Generation Planning (pbl/generation)

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

    Generation Hydro Power Wind Power Monthly GSP BPA White Book Dry Year Tools Firstgov Generation Planning Thumbnail image of BPA White Book BPA White Book (1998-2014) Draft Dry...

  6. Natural Gas

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

    Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, ... Analysis of Technology and Policy Tradeoffs, Energy Policy, ...

  7. Natural Gas - Energy Explained, Your Guide To Understanding Energy...

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

    ... Did you know? Because natural gas is colorless, odorless, and tasteless, mercaptan (a chemical that smells like sulfur) is added before distribution, to give natural gas a distinct ...

  8. District of Columbia Natural Gas Percent Sold to The Commercial...

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

    by Local Distribution Companies (Percent) District of Columbia Natural Gas Percent Sold to The Commercial Sectors by Local Distribution Companies (Percent) Decade Year-0 ...

  9. Natural gas monthly, March 1997

    SciTech Connect (OSTI)

    1997-03-01

    The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The feature article is entitled ``Natural gas analysis and geographic information systems.`` 6 figs., 27 tabs.

  10. Natural gas monthly, September 1993

    SciTech Connect (OSTI)

    Not Available

    1993-09-27

    The Natural Gas Monthly (NGM) is prepared in the Data Operations Branch of the Reserves and Natural Gas Division, Office of Oil and Gas, Energy Information Administration (EIA), US Department of Energy (DOE). The NGM highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information.

  11. Natural gas monthly, August 1995

    SciTech Connect (OSTI)

    1995-08-24

    The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. This month`s feature article is on US Natural Gas Imports and Exports 1994.

  12. Natural Gas Monthly, October 1993

    SciTech Connect (OSTI)

    Not Available

    1993-11-10

    The (NGM) Natural Gas Monthly highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. This month`s feature articles are: US Production of Natural Gas from Tight Reservoirs: and Expanding Rule of Underground Storage.

  13. Natural gas monthly, August 1993

    SciTech Connect (OSTI)

    Not Available

    1993-08-25

    The Natural Gas Monthly (NGM) is prepared in the Data Operations Branch of the Reserves and Natural Gas Division, Office of Oil and Gas, Energy Information Administration (EIA), US Department of Energy (DOE). The NGM highhghts activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information.

  14. Natural gas monthly, May 1997

    SciTech Connect (OSTI)

    1997-05-01

    The Natural Gas Monthly highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The feature article this month is ``Restructuring energy industries: Lessons from natural gas.`` 6 figs., 26 tabs.

  15. Natural gas monthly, December 1997

    SciTech Connect (OSTI)

    1997-12-01

    The Natural Gas Monthly highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The article this month is entitled ``Recent Trends in Natural Gas Spot Prices.`` 6 figs., 27 tabs.

  16. Natural gas monthly, November 1996

    SciTech Connect (OSTI)

    1996-11-01

    The report highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the Natural Gas Monthly features articles designed to assist readers in using and interpreting natural gas information. The feature article this month is ``US natural gas imports and exports-1995``. 6 figs., 24 tabs.

  17. Natural gas monthly, April 1997

    SciTech Connect (OSTI)

    1997-04-01

    The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are present3ed each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The feature article is entitled ``Natural gas pipeline and system expansions.`` 6 figs., 27 tabs.

  18. Natural gas monthly, May 1994

    SciTech Connect (OSTI)

    Not Available

    1994-05-25

    The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The featured articles for this month are: Opportunities with fuel cells, and revisions to monthly natural gas data.

  19. Natural gas monthly, August 1990

    SciTech Connect (OSTI)

    Not Available

    1990-11-05

    This report highlights activities, events, and analyses of interest to public and private sector oganizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. 33 tabs.

  20. Natural gas monthly, July 1990

    SciTech Connect (OSTI)

    Not Available

    1990-10-03

    This report highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. A glossary is included. 7 figs., 33 tabs.

  1. Natural gas monthly, February 1996

    SciTech Connect (OSTI)

    1996-03-01

    The NGM highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information.

  2. Natural gas monthly, February 1994

    SciTech Connect (OSTI)

    Not Available

    1994-02-25

    The NGM highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. The NGM also features articles designed to assist readers in using and interpreting natural gas information.

  3. Natural gas monthly, October 1995

    SciTech Connect (OSTI)

    1995-10-23

    The Natural Gas Monthly highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. A glossary of the terms used in this report is provided to assist readers in understanding the data presented in this publication. 6 figs., 30 tabs.

  4. Natural gas monthly, May 1995

    SciTech Connect (OSTI)

    1995-05-24

    The NGM highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information.

  5. Natural gas monthly, March 1998

    SciTech Connect (OSTI)

    NONE

    1998-03-01

    The March 1998 edition of the Natural Gas Monthly highlights activities, events, and analyses associated with the natural gas industry. Volume and price data are presented for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. This report also features an article on the correction of errors in the drilling activity estimates series, and in-depth drilling activity data. 6 figs., 28 tabs.

  6. STEO December 2012 - natural gas production

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

    A big portion of that natural gas is going to the U.S. electric power sector, which is generating more electricity from gas in place of coal. Consumption of natural gas for power ...

  7. QER Report: Energy Transmission, Storage, and Distribution Infrastruct...

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

    NG-1 Chapter VII Appendix B NATURAL GAS NG-2 QER Report: Energy Transmission, Storage, and Distribution Infrastructure | April 2015 Appendix B: NATURAL GAS Highlights Increasing...

  8. Resilient Electric Distribution Grid R&D Workshop - June 11,...

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

    for enhancing the resilience of electric distribution grids to natural disasters. ... PDF icon Electric Power Distribution System Resilience: Federal Government and National ...

  9. Natural Building Technologies Ltd | Open Energy Information

    Open Energy Info (EERE)

    NBT is a technical sales and product development business bringing a new generation of building materials and designs into the mainstream market. References: Natural Building...

  10. Generation PV Inc | Open Energy Information

    Open Energy Info (EERE)

    PV Inc Jump to: navigation, search Name: Generation PV Inc. Place: Markham, Ontario, Canada Zip: L6E 1A9 Sector: Wind energy Product: Ontario-based Generation PV distributes and...

  11. Interconnection Standards for Small Generators | Department of...

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

    (FERC) adopted new "small generator" interconnection standards for distributed energy resources up to 20 megawatts (MW) in capacity in November 2013 and September 2014,...

  12. Distribution Workshop

    Broader source: Energy.gov [DOE]

    On September 24-26, 2012, the GTT presented a workshop on grid integration on the distribution system at the Sheraton Crystal City near Washington, DC.

  13. Properly Understanding the Impacts of Distributed Resources on Distribution Systems

    SciTech Connect (OSTI)

    Rizy, D Tom; Li, Fangxing; Li, Huijuan; Adhikari, Sarina; Kueck, John D

    2010-01-01

    The subject paper discusses important impacts of distributed resources on distribution networks and feeders. These include capacity, line losses, voltage regulation, and central system support (such as volt/var via central generators and substation) as the number, placement and penetration levels of distributed resources are varied. Typically, the impacts of distributed resources on the distribution system are studied by using steady-state rather than dynamic analysis tools. However, the response time and transient impacts of both system equipment (such as substation/feeder capacitors) and distributed resources needs to be taken into account and only dynamic analysis will provide the full impact results. ORNL is wrapping up a study of distributed resources interconnected to a large distribution system considering the above variables. A report of the study and its results will be condensed into a paper for this panel session. The impact of distributed resources will vary as the penetration level reaches the capacity of the distribution feeder/system. The question is how high of a penetration of distributed resource can be accommodated on the distribution feeder/system without any major changes to system operation, design and protection. The impacts most surely will vary depending upon load composition, distribution and level. Also, it is expected that various placement of distributed resources will impact the distribution system differently.

  14. Table 2. Ten largest plants by generation capacity, 2014

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

    Sandy","Coal","Kentucky Power Co",1060 9,"Riverside Generating LLC","Natural gas","Riverside Generating Co LLC",825 10,"J K Smith","Natural gas","East Kentucky Power Coop, Inc",784

  15. Electrical pulse generator

    DOE Patents [OSTI]

    Norris, Neil J.

    1979-01-01

    A technique for generating high-voltage, wide dynamic range, shaped electrical pulses in the nanosecond range. Two transmission lines are coupled together by resistive elements distributed along the length of the lines. The conductance of each coupling resistive element as a function of its position along the line is selected to produce the desired pulse shape in the output line when an easily produced pulse, such as a step function pulse, is applied to the input line.

  16. Methods for Analyzing the Benefits and Costs of Distributed Photovolta...

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

    ... benefits, such as avoided water use or land impacts. ... generators and natural gas producers, respectively. xi ... generation mix and system stability requirements. ...

  17. Laser spark distribution and ignition system

    DOE Patents [OSTI]

    Woodruff, Steven; McIntyre, Dustin L.

    2008-09-02

    A laser spark distribution and ignition system that reduces the high power optical requirements for use in a laser ignition and distribution system allowing for the use of optical fibers for delivering the low peak energy pumping pulses to a laser amplifier or laser oscillator. An optical distributor distributes and delivers optical pumping energy from an optical pumping source to multiple combustion chambers incorporating laser oscillators or laser amplifiers for inducing a laser spark within a combustion chamber. The optical distributor preferably includes a single rotating mirror or lens which deflects the optical pumping energy from the axis of rotation and into a plurality of distinct optical fibers each connected to a respective laser media or amplifier coupled to an associated combustion chamber. The laser spark generators preferably produce a high peak power laser spark, from a single low power pulse. The laser spark distribution and ignition system has application in natural gas fueled reciprocating engines, turbine combustors, explosives and laser induced breakdown spectroscopy diagnostic sensors.

  18. Microwave generator

    DOE Patents [OSTI]

    Kwan, T.J.T.; Snell, C.M.

    1987-03-31

    A microwave generator is provided for generating microwaves substantially from virtual cathode oscillation. Electrons are emitted from a cathode and accelerated to an anode which is spaced apart from the cathode. The anode has an annular slit there through effective to form the virtual cathode. The anode is at least one range thickness relative to electrons reflecting from the virtual cathode. A magnet is provided to produce an optimum magnetic field having the field strength effective to form an annular beam from the emitted electrons in substantial alignment with the annular anode slit. The magnetic field, however, does permit the reflected electrons to axially diverge from the annular beam. The reflected electrons are absorbed by the anode in returning to the real cathode, such that substantially no reflexing electrons occur. The resulting microwaves are produced with a single dominant mode and are substantially monochromatic relative to conventional virtual cathode microwave generators. 6 figs.

  19. Jobs and Economic Development from New Transmission and Generation...

    Wind Powering America (EERE)

    Construction- and Operations-related Economic Activity from 1,800 MW of New Natural Gas Generation ......

  20. Natural gas monthly, January 1994

    SciTech Connect (OSTI)

    Not Available

    1994-02-01

    The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The featured article for this month is on US coalbed methane production.

  1. Distributed PV Adoption in Maine Through 2021

    SciTech Connect (OSTI)

    Gagnon, Pieter; Sigrin, Ben

    2015-11-06

    NREL has used its dSolar (distributed solar) model to generate low-medium-high estimates of distributed PV adoption in Maine through 2021. This presentation gives a high-level overview of the model and modeling results.

  2. Voices of Experience | Advanced Distribution Management Systems...

    Office of Environmental Management (EM)

    ... and optimize the performance of the distribution grid. ... foundation that can support each component of an ADMS. ... renewable generation; * Analysis showing that enabling ...

  3. Distributed Energy Calculator | Open Energy Information

    Open Energy Info (EERE)

    ibutedenergycalculator.com OpenEI Keyword(s): Challenge Generated, Green Button Apps Language: English References: Apps for Energy1 The Distributed Energy Calculator allows you...

  4. ITP Industrial Distributed Energy: Distributed Energy Program...

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

    ITP Industrial Distributed Energy: Distributed Energy Program Project Profile: Verizon Central Office Building ITP Industrial Distributed Energy: Distributed Energy Program Project ...

  5. Magnetocumulative generator

    DOE Patents [OSTI]

    Pettibone, J.S.; Wheeler, P.C.

    1981-06-08

    An improved magnetocumulative generator is described that is useful for producing magnetic fields of very high energy content over large spatial volumes. The polar directed pleated magnetocumulative generator has a housing providing a housing chamber with an electrically conducting surface. The chamber forms a coaxial system having a small radius portion and a large radius portion. When a magnetic field is injected into the chamber, from an external source, most of the magnetic flux associated therewith positions itself in the small radius portion. The propagation of an explosive detonation through high-explosive layers disposed adjacent to the housing causes a phased closure of the chamber which sweeps most of the magnetic flux into the large radius portion of the coaxial system. The energy content of the magnetic field is greatly increased by flux stretching as well as by flux compression. The energy enhanced magnetic field is utilized within the housing chamber itself.

  6. Thermoelectric generator

    DOE Patents [OSTI]

    Pryslak, N.E.

    1974-02-26

    A thermoelectric generator having a rigid coupling or stack'' between the heat source and the hot strap joining the thermoelements is described. The stack includes a member of an insulating material, such as ceramic, for electrically isolating the thermoelements from the heat source, and a pair of members of a ductile material, such as gold, one each on each side of the insulating member, to absorb thermal differential expansion stresses in the stack. (Official Gazette)

  7. PLASMA GENERATOR

    DOE Patents [OSTI]

    Foster, J.S. Jr.

    1958-03-11

    This patent describes apparatus for producing an electricity neutral ionized gas discharge, termed a plasma, substantially free from contamination with neutral gas particles. The plasma generator of the present invention comprises a plasma chamber wherein gas introduced into the chamber is ionized by a radiofrequency source. A magnetic field is used to focus the plasma in line with an exit. This magnetic field cooperates with a differential pressure created across the exit to draw a uniform and uncontaminated plasma from the plasma chamber.

  8. Cluster generator

    DOE Patents [OSTI]

    Donchev, Todor I.; Petrov, Ivan G.

    2011-05-31

    Described herein is an apparatus and a method for producing atom clusters based on a gas discharge within a hollow cathode. The hollow cathode includes one or more walls. The one or more walls define a sputtering chamber within the hollow cathode and include a material to be sputtered. A hollow anode is positioned at an end of the sputtering chamber, and atom clusters are formed when a gas discharge is generated between the hollow anode and the hollow cathode.

  9. Photon generator

    DOE Patents [OSTI]

    Srinivasan-Rao, Triveni

    2002-01-01

    A photon generator includes an electron gun for emitting an electron beam, a laser for emitting a laser beam, and an interaction ring wherein the laser beam repetitively collides with the electron beam for emitting a high energy photon beam therefrom in the exemplary form of x-rays. The interaction ring is a closed loop, sized and configured for circulating the electron beam with a period substantially equal to the period of the laser beam pulses for effecting repetitive collisions.

  10. Electric generator

    DOE Patents [OSTI]

    Foster, Jr., John S.; Wilson, James R.; McDonald, Jr., Charles A.

    1983-01-01

    1. In an electrical energy generator, the combination comprising a first elongated annular electrical current conductor having at least one bare surface extending longitudinally and facing radially inwards therein, a second elongated annular electrical current conductor disposed coaxially within said first conductor and having an outer bare surface area extending longitudinally and facing said bare surface of said first conductor, the contiguous coaxial areas of said first and second conductors defining an inductive element, means for applying an electrical current to at least one of said conductors for generating a magnetic field encompassing said inductive element, and explosive charge means disposed concentrically with respect to said conductors including at least the area of said inductive element, said explosive charge means including means disposed to initiate an explosive wave front in said explosive advancing longitudinally along said inductive element, said wave front being effective to progressively deform at least one of said conductors to bring said bare surfaces thereof into electrically conductive contact to progressively reduce the inductance of the inductive element defined by said conductors and transferring explosive energy to said magnetic field effective to generate an electrical potential between undeformed portions of said conductors ahead of said explosive wave front.

  11. Symmetric generalized binomial distributions

    SciTech Connect (OSTI)

    Bergeron, H.; Curado, E. M. F.; Instituto Nacional de Cincia e Tecnologia - Sistemas Complexos, Rua Xavier Sigaud 150, 22290-180 - Rio de Janeiro, RJ ; Gazeau, J. P.; APC, UMR 7164, Univ Paris Diderot, Sorbonne Paris Cit, 75205 Paris ; Rodrigues, Ligia M. C. S. E-mail: evaldo@cbpf.br E-mail: ligia@cbpf.br

    2013-12-15

    In two recent articles, we have examined a generalization of the binomial distribution associated with a sequence of positive numbers, involving asymmetric expressions of probabilities that break the symmetry win-loss. We present in this article another generalization (always associated with a sequence of positive numbers) that preserves the symmetry win-loss. This approach is also based on generating functions and presents constraints of non-negativeness, similar to those encountered in our previous articles.

  12. Application experiences with distributed resources in the Midwest

    SciTech Connect (OSTI)

    O`Sullivan, J.B.; Jacobs, K.; Guzy, L.

    1998-12-31

    Distributed generation consists of the use of integrated or stand-alone natural gas or liquid fueled power generation equipment. These distributed resources (DR) may provide power in the 5-kW to 50-MW range and can provide power directly to the customer, thereby potentially deferring additional transmission and distribution systems upgrades by the utility and improving power quality and reliability for the customer. Compact, technically advanced units in a variety of technologies presently available include diesel engines, lean burning gas fired internal combustion engine generator sets, cogeneration packages, small microturbines, and fuel cells. This class of resources has the potential to provide a cost effective, reliable, addition to a utility`s generating resource mix and is once again gaining favor in era characterized both by uncertainty and opportunity. Strategic deployment of these resources can also eliminate or delay expensive central plant capacity additions. Installations may be tailored to meet customer technical and financial requirements with projects being developed by utilities on customer sites as well as by Independent Power Producers and others. Economic constraints as well as key environmental and operating issues must be understood and clarified for those seeking to capitalize on this approach. As the first phase of a project with the objective of developing a best practices approach to implementing DR, EPRI`s project Application Experiences with Distributed Resources in the Midwest examined these issues. This report contains the results of an in-depth technical survey, which was given to distributed resource sites throughout the Midwest. Aspects of DR projects involving electrical interconnection, siting and permitting, operations and maintenance and various operating practices are examined.

  13. X-ray CT Observations of Methane Hydrate Distribution Changes over Time in a Natural Sediment Core from the BPX-DOE-USGS Mount Elbert Gas Hydrate Stratigraphic Test Well

    SciTech Connect (OSTI)

    Kneafsey, T.J.; Rees, E.V.L.

    2010-03-01

    When maintained under hydrate-stable conditions, methane hydrate in laboratory samples is often considered a stable and immobile solid material. Currently, there do not appear to be any studies in which the long-term redistribution of hydrates in sediments has been investigated in the laboratory. These observations are important because if the location of hydrate in a sample were to change over time (e.g. by dissociating at one location and reforming at another), the properties of the sample that depend on hydrate saturation and pore space occupancy would also change. Observations of hydrate redistribution under stable conditions are also important in understanding natural hydrate deposits, as these may also change over time. The processes by which solid hydrate can move include dissociation, hydrate-former and water migration in the gas and liquid phases, and hydrate formation. Chemical potential gradients induced by temperature, pressure, and pore water or host sediment chemistry can drive these processes. A series of tests were performed on a formerly natural methane-hydrate-bearing core sample from the BPX-DOE-USGS Mount Elbert Gas Hydrate Stratigraphic Test Well, in order to observe hydrate formation and morphology within this natural sediment, and changes over time using X-ray computed tomography (CT). Long-term observations (over several weeks) of methane hydrate in natural sediments were made to investigate spatial changes in hydrate saturation in the core. During the test sequence, mild buffered thermal and pressure oscillations occurred within the sample in response to laboratory temperature changes. These oscillations were small in magnitude, and conditions were maintained well within the hydrate stability zone.

  14. Monthly Generation System Peak (pbl/generation)

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

    Generation > Generation Hydro Power Wind Power Monthly GSP BPA White Book Dry Year Tools Firstgov Monthly Generation System Peak (GSP) This site is no longer maintained. Page last...

  15. Magnetocumulative generator

    DOE Patents [OSTI]

    Pettibone, Joseph S. (Livermore, CA); Wheeler, Paul C. (Livermore, CA)

    1983-01-01

    An improved magnetocumulative generator is described that is useful for producing magnetic fields of very high energy content over large spatial volumes. The polar directed pleated magnetocumulative generator has a housing (100, 101, 102, 103, 104, 105) providing a housing chamber (106) with an electrically conducting surface. The chamber (106) forms a coaxial system having a small radius portion and a large radius portion. When a magnetic field is injected into the chamber (106), from an external source, most of the magnetic flux associated therewith positions itself in the small radius portion. The propagation of an explosive detonation through high-explosive layers (107, 108) disposed adjacent to the housing causes a phased closure of the chamber (106) which sweeps most of the magnetic flux into the large radius portion of the coaxial system. The energy content of the magnetic field is greatly increased by flux stretching as well as by flux compression. The energy enhanced magnetic field is utilized within the housing chamber itself.

  16. Special Distribution

    Office of Legacy Management (LM)

    Special Distribution Issued: December 1977 ',, Radiological Survey and Decontamination of the Former Main Technical Area (TA-1) at Los Alamos, New Mexico Compiled by A. John Ahlquist Alan K. Stoker Linda K. Trocki c laboratory of, the University of California LOS ALAMOS, NEW MEXICO 87545 An Alfirmdve Action/Equal Opportunity Employer ..-_- .-- .--.-. c T -,--... _ _._-r..l __,.. - .-,_.. ..- _._ -- .--. " . . _ . - . c- - . . . _ -. . _ . - . - . _ - - n - _ _~ ~_. __ _ ~~_ --..&e+

  17. Triboelectric generator

    DOE Patents [OSTI]

    Wang, Zhong L; Fan, Fengru; Lin, Long; Zhu, Guang; Pan, Caofeng; Zhou, Yusheng

    2015-11-03

    A generator includes a thin first contact charging layer and a thin second contact charging layer. The thin first contact charging layer includes a first material that has a first rating on a triboelectric series. The thin first contact charging layer has a first side with a first conductive electrode applied thereto and an opposite second side. The thin second contact charging layer includes a second material that has a second rating on a triboelectric series that is more negative than the first rating. The thin first contact charging layer has a first side with a first conductive electrode applied thereto and an opposite second side. The thin second contact charging layer is disposed adjacent to the first contact charging layer so that the second side of the second contact charging layer is in contact with the second side of the first contact charging layer.

  18. How regulators should use natural gas price forecasts

    SciTech Connect (OSTI)

    Costello, Ken

    2010-08-15

    Natural gas prices are critical to a range of regulatory decisions covering both electric and gas utilities. Natural gas prices are often a crucial variable in electric generation capacity planning and in the benefit-cost relationship for energy-efficiency programs. High natural gas prices can make coal generation the most economical new source, while low prices can make natural gas generation the most economical. (author)

  19. Natural gas monthly, October 1991

    SciTech Connect (OSTI)

    Not Available

    1991-11-05

    The Natural Gas Monthly (NGM) is prepared in the Data Operations Branch of the Reserves and Natural Gas Division, Office of Oil and Gas, Energy Information Administration (EIA), US Department of Energy (DOE). The NGM highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. The data in this publication are collected on surveys conducted by the EIA to fulfill its responsibilities for gathering and reporting energy data. Some of the data are collected under the authority of the Federal Energy Regulatory Commission (FERC), an independent commission within the DOE, which has jurisdiction primarily in the regulation of electric utilities and the interstate natural gas industry. Geographic coverage is the 50 States and the District of Columbia. 16 figs., 33 tabs.

  20. Energy Efficiency, Renewables, Advanced Transmission and Distribution

    Energy Savers [EERE]

    Technologies (2008) | Department of Energy Renewables, Advanced Transmission and Distribution Technologies (2008) Energy Efficiency, Renewables, Advanced Transmission and Distribution Technologies (2008) PDF icon Energy Efficiency, Renewables, Advanced Transmission and Distribution Technologies (2008) More Documents & Publications Financial Institution Partnership Program - Commercial Technology Renewable Energy Generation Projects Issued: October 7, 2009 Nuclear Power Facilities (2008)

  1. Turn emergency generators into dollars

    SciTech Connect (OSTI)

    Sheahen, T.P.; Stegen, G.R.

    1997-10-01

    The concept of distributed, dispatchable power generation is essentially the reverse of interruptible service. It can be understood by regarding both power and money as vectors: when the direction of the power flow switches, so does the direction of the money flow. At a signal given by the utility, a factory activates its emergency generating system and briefly becomes an independent power producer (IPP), feeding power into a local region of the grid. Upon receipt of another signal, it retires from that role. It may, however, continue to generate power for its own use.

  2. Coal Distribution and Utilization Act of 1987. Hearing before the Committee on Energy and Natural Resources, United States Senate, One Hundredth Congress, First Session on S. 801, September 10, 1987

    SciTech Connect (OSTI)

    Not Available

    1988-01-01

    The hearing was called to review Senate bill S.801 which would provide Federal eminent domain authority for coal slurry pipelines to facilitate the national distribution and utilization of coal. Obtaining rights-of-way for the pipelines, particularly across railroad lands, has been a major stumbling lock to construction in the US. Testimony was heard from 9 witnesses, representing the Building and Construction Trade Department of AFL-CIO, Snamprogetti USA, Association of American Railroads, Railway Labor Executives Association, Coal and Slurry Technology Association, American Mining Congress, Edison Electric Institute, and the state of Louisiana. An attorney at law also gave testimony. Additional material was submitted by the National Association of Regulatory Utility Commissioners, the American Farm Bureau Federation, American Public Power Association, several union representatives, and the National Rural Electric Cooperative Association.

  3. Underwater slow current turbo generator

    SciTech Connect (OSTI)

    Wracsaricht, L.J.

    1981-12-15

    A self-contained electrical generating device for placement in a naturally flowing stream. The generating device converts the kinetic energy generated by fluid flow or gravity contained within the flowing stream whether river or ocean current into useful electric energy using blade configuration and placement to maximize the usable energy. The present invention also using auxiliary means to increase the rate of flow of the fluid by the blades of the generator thus increasing the energy capable of conversion. The rotor and the stator are located radially outwardly from the rotating hub of the generating system and are supported by spoke like legs thus greatly reducing any resistance to water flow, minimizing the disturbance to the flowing stream and maximizing the relative linear velocity between the rotor and the stator.

  4. Distributed Wind Energy in Idaho

    SciTech Connect (OSTI)

    Gardner, John; Ferguson, James; Ahmed-Zaid, Said; Johnson, Kathryn; Haynes, Todd; Bennett, Keith

    2009-01-31

    Project Objective: This project is a research and development program aimed at furthering distributed wind technology. In particular, this project addresses some of the barriers to distributed wind energy utilization in Idaho. Background: At its core, the technological challenge inherent in Wind Energy is the transformation of a highly variable form of energy to one which is compatible with the commercial power grid or another useful application. A major economic barrier to the success of distributed wind technology is the relatively high capital investment (and related long payback periods) associated with wind turbines. This project will carry out fundamental research and technology development to address both the technological and economic barriers. • Active drive train control holds the potential to improve the overall efficiency of a turbine system by allowing variable speed turbine operation while ensuring a tight control of generator shaft speed, thus greatly simplifying power conditioning. • Recent blade aerodynamic advancements have been focused on large, utility-scale wind turbine generators (WTGs) as opposed to smaller WTGs designed for distributed generation. Because of Reynolds Number considerations, blade designs do not scale well. Blades which are aerodynamically optimized for distributed-scale WTGs can potentially reduce the cost of electricity by increasing shaft-torque in a given wind speed. • Grid-connected electric generators typically operate at a fixed speed. If a generator were able to economically operate at multiple speeds, it could potentially convert more of the wind’s energy to electricity, thus reducing the cost of electricity. This research directly supports the stated goal of the Wind and Hydropower Technologies Program for Distributed Wind Energy Technology: By 2007, reduce the cost of electricity from distributed wind systems to 10 to 15 cents/kWh in Class 3 wind resources, the same level that is currently achievable in Class 5 winds.

  5. ,"Natural Gas Consumption",,,"Natural Gas Expenditures"

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

    Census Division, 1999" ,"Natural Gas Consumption",,,"Natural Gas Expenditures" ,"per Building (thousand cubic feet)","per Square Foot (cubic feet)","per Worker (thousand cubic...

  6. Identifying emerging smart grid impacts to upstream and midstream natural gas operations.

    SciTech Connect (OSTI)

    McIntyre, Annie

    2010-09-01

    The Smart Grid has come to describe a next-generation electrical power system that is typified by the increased use of communications and information technology in the generation, delivery and consumption of electrical energy. Much of the present Smart Grid analysis focuses on utility and consumer interaction. i.e. smart appliances, home automation systems, rate structures, consumer demand response, etc. An identified need is to assess the upstream and midstream operations of natural gas as a result of the smart grid. The nature of Smart Grid, including the demand response and role of information, may require changes in upstream and midstream natural gas operations to ensure availability and efficiency. Utility reliance on natural gas will continue and likely increase, given the backup requirements for intermittent renewable energy sources. Efficient generation and delivery of electricity on Smart Grid could affect how natural gas is utilized. Things that we already know about Smart Grid are: (1) The role of information and data integrity is increasingly important. (2) Smart Grid includes a fully distributed system with two-way communication. (3) Smart Grid, a complex network, may change the way energy is supplied, stored, and in demand. (4) Smart Grid has evolved through consumer driven decisions. (5) Smart Grid and the US critical infrastructure will include many intermittent renewables.

  7. Infrastructure Needs: Natural Gas/Electricity Transmission,...

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

    miles of transmission lines, 72,000 miles of distribution lines, and 6,300 miles of natural gas pipelines. Our over 8,600 employees are committed to our mission to deliver...

  8. Enhancing the Smart Grid: Integrating Clean Distributed and Renewable

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

    Generation | Department of Energy Enhancing the Smart Grid: Integrating Clean Distributed and Renewable Generation Enhancing the Smart Grid: Integrating Clean Distributed and Renewable Generation Imagine a grid where utilities and consumers work together to alleviate congestion and meet growing energy demands. RDSI is working to facilitate this reality by focusing on the integration of on-site, clean distributed and renewable generation. PDF icon Enhancing the Smart Grid: Integrating Clean

  9. Natural Gas Weekly Update

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

    natural gas demand, thereby contributing to larger net injections of natural gas into storage. Other Market Trends: EIA Releases The Natural Gas Annual 2006: The Energy...

  10. Natural gas pipeline technology overview.

    SciTech Connect (OSTI)

    Folga, S. M.; Decision and Information Sciences

    2007-11-01

    The United States relies on natural gas for one-quarter of its energy needs. In 2001 alone, the nation consumed 21.5 trillion cubic feet of natural gas. A large portion of natural gas pipeline capacity within the United States is directed from major production areas in Texas and Louisiana, Wyoming, and other states to markets in the western, eastern, and midwestern regions of the country. In the past 10 years, increasing levels of gas from Canada have also been brought into these markets (EIA 2007). The United States has several major natural gas production basins and an extensive natural gas pipeline network, with almost 95% of U.S. natural gas imports coming from Canada. At present, the gas pipeline infrastructure is more developed between Canada and the United States than between Mexico and the United States. Gas flows from Canada to the United States through several major pipelines feeding U.S. markets in the Midwest, Northeast, Pacific Northwest, and California. Some key examples are the Alliance Pipeline, the Northern Border Pipeline, the Maritimes & Northeast Pipeline, the TransCanada Pipeline System, and Westcoast Energy pipelines. Major connections join Texas and northeastern Mexico, with additional connections to Arizona and between California and Baja California, Mexico (INGAA 2007). Of the natural gas consumed in the United States, 85% is produced domestically. Figure 1.1-1 shows the complex North American natural gas network. The pipeline transmission system--the 'interstate highway' for natural gas--consists of 180,000 miles of high-strength steel pipe varying in diameter, normally between 30 and 36 inches in diameter. The primary function of the transmission pipeline company is to move huge amounts of natural gas thousands of miles from producing regions to local natural gas utility delivery points. These delivery points, called 'city gate stations', are usually owned by distribution companies, although some are owned by transmission companies. Compressor stations at required distances boost the pressure that is lost through friction as the gas moves through the steel pipes (EPA 2000). The natural gas system is generally described in terms of production, processing and purification, transmission and storage, and distribution (NaturalGas.org 2004b). Figure 1.1-2 shows a schematic of the system through transmission. This report focuses on the transmission pipeline, compressor stations, and city gates.

  11. Natural Gas Monthly August 1998

    SciTech Connect (OSTI)

    1998-08-01

    The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. Explanatory notes supplement the information found in tables of the report. A description of the data collection surveys that support the NGM is provided. A glossary of the terms used in this report is also provided to assist readers in understanding the data presented in this publication.

  12. Power generation method including membrane separation

    DOE Patents [OSTI]

    Lokhandwala, Kaaeid A.

    2000-01-01

    A method for generating electric power, such as at, or close to, natural gas fields. The method includes conditioning natural gas containing C.sub.3+ hydrocarbons and/or acid gas by means of a membrane separation step. This step creates a leaner, sweeter, drier gas, which is then used as combustion fuel to run a turbine, which is in turn used for power generation.

  13. Natural Gas Regulation

    Broader source: Energy.gov [DOE]

    The Natural Gas Act of 1938, as amended, requires any person who wishes to import and/or export natural gas, (including liquefied natural gas, compressed natural gas, compressed gas liquids, etc.)...

  14. DOE to Launch Collaborative Effort with Industry to Improve Natural...

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

    a series of actions, partnerships, and stakeholder commitments to help modernize the nation's natural gas transmission and distribution systems and reduce methane emissions. ...

  15. Controlling Methane Emissions in the Natural Gas Sector: A Review...

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

    Methane Emissions in the Natural Gas Sector: A Review of Federal & State Regulatory Frameworks Governing Production, Processing, Transmission, and Distribution Controlling Methane ...

  16. Natural Gas Weekly Update, Printer-Friendly Version

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

    prices from producing areas, plus an allowance for interstate natural gas pipeline and local distribution company charges to transport the gas to market. Such a calculation...

  17. Natural gas monthly, October 1990. [Contains glossary

    SciTech Connect (OSTI)

    Not Available

    1990-12-28

    This report highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. 7 figs., 34 tabs.

  18. Wisconsin Natural Gas Summary

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

    Pipeline and Distribution Use 1967-2005 Citygate 6.14 5.65 4.88 4.88 6.96 4.71 1984-2015 Residential 10.34 9.77 9.27 8.65 10.52 NA 1967-2015 Commercial 8.53 8.03 7.34 6.94 8.74 NA 1967-2015 Industrial 7.56 7.05 5.81 6.02 8.08 NA 1997-2015 Vehicle Fuel 7.84 6.10 5.71 1989-2012 Electric Power 5.43 4.91 3.27 4.47 5.47 W 1997-2015 Underground Storage (Million Cubic Feet) Injections 1973-1973 Withdrawals 1974-1975 Net Withdrawals 1973-1975 Liquefied Natural Gas Storage (Million Cubic Feet) Additions

  19. Natural Gas Basics

    SciTech Connect (OSTI)

    NREL Clean Cities

    2010-04-01

    Fact sheet answers questions about natural gas production and use in transportation. Natural gas vehicles are also described.

  20. 1,"PSEG Salem Generating Station","Nuclear","PSEG Nuclear LLC...

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

    Cogen Plant","Natural gas","EFS Cogen Holdings I LLC",912.2 6,"Red Oak Power LLC","Natural gas","Red Oak Operating Services LLC",765.9 7,"PSEG Mercer Generating ...

  1. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    gas is heavily used for power generation. Such conditions could cause a mid-year spike in prices to above 6 per MMBtu. With high natural gas prices, natural gas demand is...

  2. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    gas is heavily used for power generation. Such conditions could cause a mid-year spike in prices to above 6 per MMBtu. With high natural gas prices, natural gas demand is...

  3. Tailpulse signal generator

    DOE Patents [OSTI]

    Baker, John; Archer, Daniel E.; Luke, Stanley John; Decman, Daniel J.; White, Gregory K.

    2009-06-23

    A tailpulse signal generating/simulating apparatus, system, and method designed to produce electronic pulses which simulate tailpulses produced by a gamma radiation detector, including the pileup effect caused by the characteristic exponential decay of the detector pulses, and the random Poisson distribution pulse timing for radioactive materials. A digital signal process (DSP) is programmed and configured to produce digital values corresponding to pseudo-randomly selected pulse amplitudes and pseudo-randomly selected Poisson timing intervals of the tailpulses. Pulse amplitude values are exponentially decayed while outputting the digital value to a digital to analog converter (DAC). And pulse amplitudes of new pulses are added to decaying pulses to simulate the pileup effect for enhanced realism in the simulation.

  4. World's First Tri-Generation Fuel Cell and Hydrogen Fueling Station...

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

    The system runs on natural gas and biogas generated by the Orange County Sanitation ... out the tri-generation facility that uses biogas from Orange County Sanitation District's ...

  5. EERE Success Story-World's First Tri-Generation Fuel Cell and...

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

    The system runs on natural gas and biogas generated by the Orange County Sanitation ... out the tri-generation facility that uses biogas from Orange County Sanitation District's ...

  6. Dealing with natural gas uncertainties

    SciTech Connect (OSTI)

    Clements, J.; Graeber, D. )

    1991-04-01

    The fuel of choice for generating new power is and will continue over the next two decades to be natural gas. It is the fuel of choice because it is plentiful, environmentally acceptable, and relatively inexpensive. This paper reports that gas reserves on the North American continent continue to be discovered in amounts that may keep the gas bubble inflated far longer than currently estimated. New gas transportation capacity is actively being developed to overcome the capacity bottlenecks and deliverability shortfalls. Natural gas prices will probably remain stable (with expected CPI-related increases) for the short run (2-4 years), and probably will be higher than CPI increases thereafter.

  7. North American Natural Gas Markets

    SciTech Connect (OSTI)

    Not Available

    1989-02-01

    This report summarizes die research by an Energy Modeling Forum working group on the evolution of the North American natural gas markets between now and 2010. The group's findings are based partly on the results of a set of economic models of the natural gas industry that were run for four scenarios representing significantly different conditions: two oil price scenarios (upper and lower), a smaller total US resource base (low US resource case), and increased potential gas demand for electric generation (high US demand case). Several issues, such as the direction of regulatory policy and the size of the gas resource base, were analyzed separately without the use of models.

  8. North American Natural Gas Markets

    SciTech Connect (OSTI)

    Not Available

    1988-12-01

    This report sunnnarizes the research by an Energy Modeling Forum working group on the evolution of the North American natural gas markets between now and 2010. The group's findings are based partly on the results of a set of economic models of the natural gas industry that were run for four scenarios representing significantly different conditions: two oil price scenarios (upper and lower), a smaller total US resource base (low US resource case), and increased potential gas demand for electric generation (high US demand case). Several issues, such as the direction of regulatory policy and the size of the gas resource base, were analyzed separately without the use of models.

  9. World Natural Gas Model

    Energy Science and Technology Software Center (OSTI)

    1994-12-01

    RAMSGAS, the Research and Development Analysis Modeling System World Natural Gas Model, was developed to support planning of unconventional gaseoues fuels research and development. The model is a scenario analysis tool that can simulate the penetration of unconventional gas into world markets for oil and gas. Given a set of parameter values, the model estimates the natural gas supply and demand for the world for the period from 1980 to 2030. RAMSGAS is based onmore » a supply/demand framwork and also accounts for the non-renewable nature of gas resources. The model has three fundamental components: a demand module, a wellhead production cost module, and a supply/demand interface module. The demand for gas is a product of total demand for oil and gas in each of 9 demand regions and the gas share. Demand for oil and gas is forecast from the base year of 1980 through 2030 for each demand region, based on energy growth rates and price-induced conservation. For each of 11 conventional and 19 unconventional gas supply regions, wellhead production costs are calculated. To these are added transportation and distribution costs estimates associated with moving gas from the supply region to each of the demand regions and any economic rents. Based on a weighted average of these costs and the world price of oil, fuel shares for gas and oil are computed for each demand region. The gas demand is the gas fuel share multiplied by the total demand for oil plus gas. This demand is then met from the available supply regions in inverse proportion to the cost of gas from each region. The user has almost complete control over the cost estimates for each unconventional gas source in each year and thus can compare contributions from unconventional resources under different cost/price/demand scenarios.« less

  10. Optimal_Performance_of_Hybrid_Generation_2011-05-24

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

    ... Meet All Proximity Requirements ......as a Function of Coal or Natural Gas Generation Cost ... the entire land area of the continental United States. ...

  11. Electric Power Generation Systems | netl.doe.gov

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

    Electric Power Generation Systems Coal gasification-based power plants Coal combustion-based power plants Natural gas-fueled power plants Turbines Fuel cells Existing power plants...

  12. Western Red-tailed Skink Distribution in Southern Nevada

    SciTech Connect (OSTI)

    Hall, D. B. and Gergor, P. D.

    2011-11-01

    This slide show reports a study to: determine Western Red-tailed Skink (WRTS) distribution on Nevada National Security Site (NNSS); identify habitat where WRTS occur; learn more about WRTS natural history; and document distribution of other species.

  13. Mesoscale Simulations of Particulate Flows with Parallel Distributed...

    Office of Scientific and Technical Information (OSTI)

    Title: Mesoscale Simulations of Particulate Flows with Parallel Distributed Lagrange Multiplier Technique Fluid particulate flows are common phenomena in nature and industry. ...

  14. Adapting On-site Electrical Generation Platforms for Producer Gas

    Broader source: Energy.gov [DOE]

    Internal combustion reciprocating engine generators (gensets) are regularly deployed at distribution centers, small municipal utilities, and public institutions to provide on-site electricity...

  15. Natural Oils - The Next Generation of Diesel Engine Lubricants...

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

    More Documents & Publications Reducing Lubricant Ash Impact on Exhaust Aftertreatment with a Oil Conditioning Filter Effect of Exhaust Gas Recirculation (EGR) on Diesel Engine Oil ...

  16. Golden Valley Electric Association- Sustainable Natural Alternative Power (SNAP) Program

    Broader source: Energy.gov [DOE]

    Golden Valley Electric Association's (GVEA) SNAP program encourages members to install renewable energy generators and connect them to the utility's electrical distribution system by offering an...

  17. Natural gas monthly, July 1995

    SciTech Connect (OSTI)

    1995-07-21

    The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The data in this publication are collected on surveys conducted by the EIA to fulfill its responsibilities for gathering and reporting energy data. Some of the data are collected under the authority of the Federal Energy Regulatory Commission (FERC), an independent commission within the DOE, which has jurisdiction primarily in the regulation of electric utilities and the interstate natural gas industry. Geographic coverage is the 50 States and the District of Columbia. Explanatory Notes supplement the information found in tables of the report. A description of the data collection surveys that support the NGM is provided in the Data Sources section. A glossary of the terms used in this report is also provided to assist readers in understanding the data presented in this publication. All natural gas volumes are reported at a pressure base of 14.73 pounds per square inch absolute (psia) and at 60 degrees Fahrenheit. Cubic feet are converted to cubic meters by applying a factor of 0.02831685.

  18. Natural Gas Value-Chain and Network Assessments

    SciTech Connect (OSTI)

    Kobos, Peter H.; Outkin, Alexander V.; Beyeler, Walter E.; Walker, LaTonya Nicole; Malczynski, Leonard A.; Myerly, Melissa M.; Vargas, Vanessa N.; Tenney, Craig M.; Borns, David J.

    2015-09-01

    The current expansion of natural gas (NG) development in the United States requires an understanding of how this change will affect the natural gas industry, downstream consumers, and economic growth in order to promote effective planning and policy development. The impact of this expansion may propagate through the NG system and US economy via changes in manufacturing, electric power generation, transportation, commerce, and increased exports of liquefied natural gas. We conceptualize this problem as supply shock propagation that pushes the NG system and the economy away from its current state of infrastructure development and level of natural gas use. To illustrate this, the project developed two core modeling approaches. The first is an Agent-Based Modeling (ABM) approach which addresses shock propagation throughout the existing natural gas distribution system. The second approach uses a System Dynamics-based model to illustrate the feedback mechanisms related to finding new supplies of natural gas - notably shale gas - and how those mechanisms affect exploration investments in the natural gas market with respect to proven reserves. The ABM illustrates several stylized scenarios of large liquefied natural gas (LNG) exports from the U.S. The ABM preliminary results demonstrate that such scenario is likely to have substantial effects on NG prices and on pipeline capacity utilization. Our preliminary results indicate that the price of natural gas in the U.S. may rise by about 50% when the LNG exports represent 15% of the system-wide demand. The main findings of the System Dynamics model indicate that proven reserves for coalbed methane, conventional gas and now shale gas can be adequately modeled based on a combination of geologic, economic and technology-based variables. A base case scenario matches historical proven reserves data for these three types of natural gas. An environmental scenario, based on implementing a $50/tonne CO 2 tax results in less proven reserves being developed in the coming years while demand may decrease in the absence of acceptable substitutes, incentives or changes in consumer behavior. An increase in demand of 25% increases proven reserves being developed by a very small amount by the end of the forecast period of 2025.

  19. NiSource Energy Technologies Inc.: System Integration of Distributed Power for Complete Building Systems

    SciTech Connect (OSTI)

    Not Available

    2003-10-01

    Summarizes NiSource Energy Technologies' work under contract to DOE's Distribution and Interconnection R&D. Includes studying distributed generation interconnection issues and CHP system performance.

  20. Market Assessment of Distributed Energy in New Commercial and Institutional

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

    Building and Critical Infrastructure Facilities, September 2006 | Department of Energy Market Assessment of Distributed Energy in New Commercial and Institutional Building and Critical Infrastructure Facilities, September 2006 Market Assessment of Distributed Energy in New Commercial and Institutional Building and Critical Infrastructure Facilities, September 2006 Potential benefits of distributed energy, or distributed generation, include reduced grid congestion, increased overall

  1. Natural Gas Modernization Clearinghouse

    Broader source: Energy.gov [DOE]

    This Natural Gas Modernization Clearinghouse provides information about the implications of natural gas infrastructure modernization, including strategies and technologies that increase public safety, improve environmental performance and enhance natural gas deliverability.

  2. "Estimated Distributed Solar PV Capacity and Generation- Current...

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

    ... 2014,2,"MA","Final",55.128,193.258,17.089,265.475,5792.251,20341.06,1824.998,27958.309 2014,2,"MD","Final",31.882,84.41,3.217,119.51,3537.726,9481.699,357.4,133...

  3. Stationary/Distributed Generation Projects - Non-DOE Projects...

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

    The system will provide heat and electricity to the high school as well as learning opportunities for students. The school has developed an extensive fuel cell curriculum for ...

  4. Fuel Cell Comparison of Distributed Power Generation Technologies

    Broader source: Energy.gov [DOE]

    This report examines backup power and prime power systems and addresses the potential energy and environmental effects of substituting fuel cells for existing combustion technologies based on microturbines and internal combustion engines.

  5. Is The Distributed Generation Revolution Coming: A Federal Perspective

    Energy Savers [EERE]

    Portland, OR December 13

  6. Is The Distributed Generation Revolution Coming: A Federal Perspective

    Energy Savers [EERE]

    Philadelphia, PA December 6

  7. Is The Distributed Generation Revolution Coming: A Federal Perspective

    Energy Savers [EERE]

    San Diego, CA December 15

  8. Property:Distributed Generation/Site Description | Open Energy...

    Open Energy Info (EERE)

    Store Commercial-Supermarket Commercial-Theater Commercial-Other Institutional-HospitalHealth Care Institutional-Nursing Home Institutional-SchoolUniversity...

  9. Most Viewed Documents for Power Generation and Distribution:...

    Office of Scientific and Technical Information (OSTI)

    Inverters in Photovoltaic Systems BOWER, WARD I.; ROPP, MICHAEL (2002) 19 Feed-pump hydraulic performance and design improvement, Phase I: research program design. ...

  10. Iowa Distributed Wind Generation Project | Open Energy Information

    Open Energy Info (EERE)

    Energy Purchaser Consortium -- Cedar Falls leads with 23 ownership Location Algona IA Coordinates 43.0691, -94.2255 Show Map Loading map... "minzoom":false,"mappingservi...

  11. Distributed Generation System Characteristics and Costs in the...

    Gasoline and Diesel Fuel Update (EIA)

    electricity from renewable energy systems such as solar photovoltaics (PV) and small wind turbines. ... publicly-available historical cost data and utilizes multiple third-party ...

  12. April 2013 Most Viewed Documents for Power Generation And Distribution...

    Office of Scientific and Technical Information (OSTI)

    Final report Brown, W.H.; Gopalakrishnan, S.; Fehlau, R.; Thompson, W.E.; Wilson, D.G. (1982) 70 Instantaneous reactive power and power factor of instantaneous phasors Hsu, J.S. ...

  13. July 2013 Most Viewed Documents for Power Generation And Distribution...

    Office of Scientific and Technical Information (OSTI)

    I: research program design. Final report Brown, W.H.; Gopalakrishnan, S.; Fehlau, R.; Thompson, W.E.; Wilson, D.G. (1982) 104 > Controlled low strength materials (CLSM), reported ...

  14. Fuel Cell Comparison of Distributed Power Generation Technologies...

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

    PDF icon fuelcyclecomparisonreport.pdf More Documents & Publications Fuel-Cycle Analysis of Hydrogen-Powered Fuel-Cell Systems with the GREET Model Lessons Learned from SOFC...

  15. Distributed Generation Study/Emerling Farm | Open Energy Information

    Open Energy Info (EERE)

    R Lowest Combustion Intake Air Temperature (F) -1.7F254.428 K -18.722 C 457.97 R NOx Emissions Data Available No CO Emissions Data Available No 12-Month Run Hours 17902...

  16. Distributed Generation Study/Modern Landfill | Open Energy Information

    Open Energy Info (EERE)

    R Lowest Combustion Intake Air Temperature (F) 1.7F256.317 K -16.833 C 461.37 R NOx Emissions Data Available No CO Emissions Data Available No 12-Month Run Hours 169388...

  17. Distributed Generation Study/Patterson Farms | Open Energy Information

    Open Energy Info (EERE)

    R Lowest Combustion Intake Air Temperature (F) 7.8F259.706 K -13.444 C 467.47 R NOx Emissions Data Available No CO Emissions Data Available No 12-Month Run Hours 17104...

  18. Distributed Generation Study/Matlink Farm | Open Energy Information

    Open Energy Info (EERE)

    R Lowest Combustion Intake Air Temperature (F) 0F255.372 K -17.778 C 459.67 R NOx Emissions Data Available No CO Emissions Data Available No 12-Month Run Hours 4416...

  19. Distributed Generation Study/Patterson Farms CHP System Using...

    Open Energy Info (EERE)

    R Lowest Combustion Intake Air Temperature (F) 61F289.261 K 16.111 C 520.67 R NOx Emissions Data Available Yes CO Emissions Data Available Yes 12-Month Run Hours...

  20. Providing Clean, Low-Cost, Onsite Distributed Generation at Very...

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

    heat and power (CHP) assembly called the Boiler Burner Energy System Technology (BBEST). ... in annual Boiler Burner Electrical System Technology (BBEST) for packaged boilers. ...