Sample records for distributed generation capacity

  1. Optimizing Geographic Allotment of Photovoltaic Capacity in a Distributed Generation Setting: Preprint

    SciTech Connect (OSTI)

    Urquhart, B.; Sengupta, M.; Keller, J.

    2012-09-01T23:59:59.000Z

    A multi-objective optimization was performed to allocate 2MW of PV among four candidate sites on the island of Lanai such that energy was maximized and variability in the form of ramp rates was minimized. This resulted in an optimal solution set which provides a range of geographic allotment alternatives for the fixed PV capacity. Within the optimal set, a tradeoff between energy produced and variability experienced was found, whereby a decrease in variability always necessitates a simultaneous decrease in energy. A design point within the optimal set was selected for study which decreased extreme ramp rates by over 50% while only decreasing annual energy generation by 3% over the maximum generation allocation. To quantify the allotment mix selected, a metric was developed, called the ramp ratio, which compares ramping magnitude when all capacity is allotted to a single location to the aggregate ramping magnitude in a distributed scenario. The ramp ratio quantifies simultaneously how much smoothing a distributed scenario would experience over single site allotment and how much a single site is being under-utilized for its ability to reduce aggregate variability. This paper creates a framework for use by cities and municipal utilities to reduce variability impacts while planning for high penetration of PV on the distribution grid.

  2. 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

    2012-11-30T23:59:59.000Z

    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

  3. DISTRIBUTED GENERATION AND COGENERATION POLICY

    E-Print Network [OSTI]

    Director EFFICIENCY, RENEWABLES & DEMAND ANALYSIS DIVISION B.B. Blevins Executive Director DISCLAIMER capacity targets. KEYWORDS Distributed generation, cogeneration, photovoltaics, wind, biomass, combined

  4. Abstract--The capacity of distributed generation (DG) is set to increase significantly with much of the plant connecting to

    E-Print Network [OSTI]

    Harrison, Gareth

    limiting network capability in absorbing new DG. Finally, it demonstrates the use of optimal power flow market. Index Terms-- distributed generation, optimal power flow, power distribution. I. INTRODUCTION O in England and Wales (18% in Scotland) is derived from renewable resources. With existing large hydro

  5. Distributed Generation

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

    at customer sites to address peak load. 2 Using these resources could reduce required installed capacity and would increase the operating reserve margins for the network,...

  6. Distributed Generation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField Campaign:INEA : Papers SubfoldersU.S. RefiningDistributed EnergyUntapped

  7. Managing nuclear predominant generating capacity

    SciTech Connect (OSTI)

    Bouget, Y.H.; Herbin, H.C.; Carbonnier, D.

    1998-07-01T23:59:59.000Z

    The most common belief, associated with nuclear power plant, leads to the conclusion that it can only operate, as a base load plant. This observation can be reversed, by just looking at large generating capacity, using an important nuclear generation mix. Nuclear plants may certainly load follow and contribute to the grid frequency control. The French example illustrates these possibilities. The reactor control of French units has been customized to accommodate the grid requests. Managing such a large nuclear plant fleet requires various actions be taken, ranging from a daily to a multi-annual perspective. The paper describes the various contributions leading to safe, reliable, well accepted and cost competitive nuclear plants in France. The combination of all aspects related to operations, maintenance scheduling, nuclear safety management, are presented. The use of PWR units carries considerable weight in economic terms, with several hundred million francs tied in with outage scheduling every year. This necessitates a global view of the entire generating system which can be mobilized to meet demand. There is considerable interaction between units as, on the one hand, they are competing to satisfy the same need, and, on the other hand, reducing maintenance costs means sharing the necessary resources, and thus a coordinated staggering of outages. In addition, nuclear fuel is an energy reserve which remains in the reactor for 3 or 4 years, with some of the fuel renewed each year. Due to the memory effect, the fuel retains a memory of past use, so that today's choices impact upon the future. A medium-term view of fuel management is also necessary.

  8. A California generation capacity market

    SciTech Connect (OSTI)

    Conkling, R.L.

    1998-10-01T23:59:59.000Z

    California, overconfident with its new Power Exchange spot market, seems unaware that it could be afflicted by the same turmoil that bludgeoned the Midwest in June. An electricity capacity market should be put in place before crisis strikes. This article outlines a framework for adding an electricity capacity market in California. The new market would not create a new bureaucracy but would function within the state`s now operational PX and independent system operator (ISO) mechanisms. It would be an open market, in which capacity would be traded transparently, with freedom of entree for all willing sellers and all willing buyers.

  9. GASIFICATION FOR DISTRIBUTED GENERATION

    SciTech Connect (OSTI)

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

    2000-05-01T23:59:59.000Z

    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.

  10. CONSULTANT REPORT DISTRIBUTED GENERATION

    E-Print Network [OSTI]

    an independent cost analysis to interconnect and integrate increased penetration levels of renewable distributed costs. The Energy Commission considers this study a first step toward the 2012 Integrated Energy Policy Generation Integration Cost Study: Analytical Framework. California Energy Commission. CEC2002013007. i

  11. Renewable Energy: Distributed Generation Policies and Programs...

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

    Energy Policies & Programs Renewable Energy: Distributed Generation Policies and Programs Renewable Energy: Distributed Generation Policies and Programs Distributed generation...

  12. Sizing Storage and Wind Generation Capacities in Remote Power Systems

    E-Print Network [OSTI]

    Victoria, University of

    Sizing Storage and Wind Generation Capacities in Remote Power Systems by Andy Gassner B Capacities in Remote Power Systems by Andy Gassner B.Sc., University of Wisconsin ­ Madison, 2003 Supervisory and small power systems. However, the variability due to the stochastic nature of the wind resource

  13. Global Installed Capacity of Coal Fired Power Generation to Reach...

    Open Energy Info (EERE)

    Global Installed Capacity of Coal Fired Power Generation to Reach 2,057.6 GW by 2019 Home > Groups > Increase Natural Gas Energy Efficiency John55364's picture Submitted by...

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

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

    2004 This report summarizes the results of the project, "Distributed Generation Market Transformation Tools: Distributed Generation Reliability and Availability Database,"...

  15. Energy and Capacity Valuation of Photovoltaic Power Generation in New York

    E-Print Network [OSTI]

    Perez, Richard R.

    Energy and Capacity Valuation of Photovoltaic Power Generation in New York Prepared by Richard of photovoltaic (PV) power generation for New York focuses on the value to utilities. Specifically, the report, will bridge the remaining 25% gap1 , making distributed PV a net benefit to New York utilities

  16. TRENDS IN ELECTRICITY CONSUMPTION, PEAK DEMAND, AND GENERATING CAPACITY IN

    E-Print Network [OSTI]

    California at Berkeley. University of

    PWP-085 TRENDS IN ELECTRICITY CONSUMPTION, PEAK DEMAND, AND GENERATING CAPACITY IN CALIFORNIA, California 94720-5180 www.ucei.org #12;TRENDS IN ELECTRICITY CONSUMPTION, PEAK DEMAND, AND GENERATING** Abstract This study analyzes state and regional electricity supply and demand trends for the eleven states

  17. Avoiding Distribution System Upgrade Costs Using Distributed Generation

    SciTech Connect (OSTI)

    Schienbein, Lawrence A.; Balducci, Patrick J.; Nguyen, Tony B.; Brown, Daryl R.; DeSteese, John G.; Speer, Gregory A.

    2004-01-20T23:59:59.000Z

    PNNL, in cooperation with three utilities, developed a database and methodology to analyze and characterize the avoided costs of Distributed Generation (DG) deployment as an alternative to traditional distribution system investment. After applying a number of screening criteria to the initial set of 307 cases, eighteen were selected for detailed analysis. Alternative DG investment scenarios were developed for these cases to permit capital, operation, maintenance, and fuel costs to be identified and incorporated into the analysis. The “customer-owned” backup power generator option was also investigated. The results of the analysis of the 18 cases show that none yielded cost savings under the alternative DG scenarios. However, the DG alternative systems were configured using very restrictive assumptions concerning reliability, peak rating, engine types and acceptable fuel. In particular it was assumed that the DG alternative in each case must meet the reliability required of conventional distribution systems (99.91% reliability). The analysis was further constrained by a requirement that each substation meet the demands placed upon it by a one in three weather occurrence. To determine if, by relaxing these requirements, the DG alternative might be more viable, one project was re-examined. The 99.91% reliability factor was still assumed for normal operating conditions but redundancy required to maintain reliability was relaxed for the relatively few hours every three years where extreme weather caused load to exceed present substation capacity. This resulted in the deferment of capital investment until later years and reduced the number of engines required for the project. The cost of both the conventional and DG alternative also dropped because the centralized power generation, variable O&M, and DG fuels costs were calculated based on present load requirements in combination with long-term forecasts of load growth, as opposed to load requirements plus a buffer based on predictions of extraordinary weather conditions. Application of the relaxed set of assumptions reduced the total cost of the DG alternative by roughly 57 percent from $7.0 million to $3.0 million. The reduction, however, did not change the overall result of the analysis, as the cost of the conventional distribution system upgrade alternative remained lower at $1.7 million. This paper also explores the feasibility of using a system of backup generators to defer investment in distribution system infrastructure. Rather than expanding substation capacity at substations experiencing slow load growth rates, PNNL considered a scenario where diesel generators were installed on location at customers participating in a program designed to offer additional power security and reliability to the customer and connection to the grid. The backup generators, in turn, could be used to meet peak demand for a limited number of hours each year, thus deferring distribution system investment. Data from an existing program at one of the three participating utilities was used to quantify the costs associated with the backup generator scenario. The results of the “customer owned” backup power generator analysis showed that in all cases the nominal cost of the DG scenario is more than the nominal cost of the base-case conventional distribution system upgrade scenario. However, in two of the cases the total present value costs of the alternative backup generator scenarios were between 15 and 22% less than those for the conventional scenarios. Overall, the results of the study offer considerable encouragement that the use of DG systems can defer conventional distribution system upgrades under the right conditions and when the DG configurations are intelligently designed. Using existing customer-owned DG to defer distribution system upgrades appears to be an immediate commercially-viable opportunity.

  18. Methodologies for estimating one-time hazardous waste generation for capacity generation for capacity assurance planning

    SciTech Connect (OSTI)

    Tonn, B.; Hwang, Ho-Ling; Elliot, S. [Oak Ridge National Lab., TN (United States); Peretz, J.; Bohm, R.; Hendrucko, B. [Univ. of Tennessee, Knoxville, TN (United States)

    1994-04-01T23:59:59.000Z

    This report contains descriptions of methodologies to be used to estimate the one-time generation of hazardous waste associated with five different types of remediation programs: Superfund sites, RCRA Corrective Actions, Federal Facilities, Underground Storage Tanks, and State and Private Programs. Estimates of the amount of hazardous wastes generated from these sources to be shipped off-site to commercial hazardous waste treatment and disposal facilities will be made on a state by state basis for the years 1993, 1999, and 2013. In most cases, estimates will be made for the intervening years, also.

  19. Long-term need for new generating capacity

    SciTech Connect (OSTI)

    Bloomster, C.H.; Merrill, E.T.

    1987-03-01T23:59:59.000Z

    Electricity demand should continue to grow at about the same rate as GNP, creating a need for large amounts of new generating capacity by the year 2000. Only coal and nuclear at this time have the abundant domestic resources and assured technology to meet this need. However, large increase in both coal and nuclear usage will not be acceptable to society without solutions to many of the problems that now deter their increased usage. For coal, the problems center around the safety and environmental impacts of increased coal mining and coal combustion. For nuclear the problems center around reactor safety, radioactive waste disposal, financial risk, and nuclear materials safeguards. The fuel requirements and waste generation for coal plants are orders of magnitude greater than for nuclear. Technology improvements and waste management practices must be pursued to mitigate environmental and safety impacts from electricity generation. 26 refs., 14 figs., 23 tabs.

  20. NREL: Technology Deployment - Distributed Generation Interconnection...

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

    Distributed Generation Interconnection Collaborative Become a Member DGIC members are included in quarterly informational meetings and discussions related to distributed PV...

  1. Micro-grid operation of inverter based distributed generation with voltage and frequency dependent loads

    E-Print Network [OSTI]

    Zeineldin, H. H.

    Distribution systems are experiencing increasing penetration of distributed generation (DG). One attractive option is to use the available DG capacity during utility outages by forming planned micro-grids. Load sharing ...

  2. Distributed Generation with Heat Recovery and Storage

    SciTech Connect (OSTI)

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

    2005-07-29T23:59:59.000Z

    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.

  3. HYBRID CONTROL OF DISTRIBUTED GENERATORS CONNECTED TO WEAK RURAL NETWORKS TO MITIGATE VOLTAGE VARIATION

    E-Print Network [OSTI]

    Harrison, Gareth

    thermal power plants will increase the total and proportion of capacity of Distributed Generation (DG@iee.org; Robin.Wallace@ed.ac.uk ABSTRACT Distributed generators are normally operated in automatic power factor-constrained bi- directional power flow may cause unacceptable voltage fluctuations that would cause generator

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

    Open Energy Info (EERE)

    integration of energy efficiency, distributed generation, renewable energy resources and energy storage technologies, both locally and globally, to maximize the value of the...

  5. 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...

  6. A reliability assessment methodology for distribution systems with distributed generation

    E-Print Network [OSTI]

    Duttagupta, Suchismita Sujaya

    2006-08-16T23:59:59.000Z

    Reliability assessment is of primary importance in designing and planning distribution systems that operate in an economic manner with minimal interruption of customer loads. With the advances in renewable energy sources, Distributed Generation (DG...

  7. Worst Case Scenario for Large Distribution Networks with Distributed Generation

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    Worst Case Scenario for Large Distribution Networks with Distributed Generation M. A. Mahmud) in distri- bution network has significant effects on voltage profile for both customers and distribution on variation of the voltage and the amount of DG that can be connected to the distribution networks. This paper

  8. An examination of the costs and critical characteristics of electric utility distribution system capacity enhancement projects

    SciTech Connect (OSTI)

    Balducci, Patrick J.; Schienbein, Lawrence A.; Nguyen, Tony B.; Brown, Daryl R.; Fathelrahman, Eihab M.

    2004-06-01T23:59:59.000Z

    This report classifies and analyzes the capital and total costs (e.g., income tax, property tax, depreciation, centralized power generation, insurance premiums, and capital financing) associated with 130 electricity distribution system capacity enhancement projects undertaken during 1995-2002 or planned in the 2003-2011 time period by three electric power utilities operating in the Pacific Northwest. The Pacific Northwest National Laboratory (PNNL), in cooperation with participating utilities, has developed a large database of over 3,000 distribution system projects. The database includes brief project descriptions, capital cost estimates, the stated need for each project, and engineering data. The database was augmented by additional technical (e.g., line loss, existing substation capacities, and forecast peak demand for power in the area served by each project), cost (e.g., operations, maintenance, and centralized power generation costs), and financial (e.g., cost of capital, insurance premiums, depreciations, and tax rates) data. Though there are roughly 3,000 projects in the database, the vast majority were not included in this analysis because they either did not clearly enhance capacity or more information was needed, and not available, to adequately conduct the cost analyses. For the 130 projects identified for this analysis, capital cost frequency distributions were constructed, and expressed in terms of dollars per kVA of additional capacity. The capital cost frequency distributions identify how the projects contained within the database are distributed across a broad cost spectrum. Furthermore, the PNNL Energy Cost Analysis Model (ECAM) was used to determine the full costs (e.g., capital, operations and maintenance, property tax, income tax, depreciation, centralized power generation costs, insurance premiums and capital financing) associated with delivering electricity to customers, once again expressed in terms of costs per kVA of additional capacity. The projects were sorted into eight categories (capacitors, load transfer, new feeder, new line, new substation, new transformer, reconductoring, and substation capacity increase) and descriptive statistics (e.g., mean, total cost, number of observations, and standard deviation) were constructed for each project type. Furthermore, statistical analysis has been performed using ordinary least squares regression analysis to identify how various project variables (e.g., project location, the primary customer served by the project, the type of project, the reason for the upgrade, size of the upgrade) impact the unit cost of the project.

  9. Microgrids: distributed on-site generation

    E-Print Network [OSTI]

    Watson, Andrew

    : · Diversity of the load profile as a function of microgrid size; · Feasibility of accurate control of bothMicrogrids: distributed on-site generation Suleiman Abu-Sharkh, Rachel Li, Tom Markvart, Neil Ross for Climate Change Research Technical Report 22 #12;1 Microgrids: distributed on-site generation Tyndall

  10. Report on Distributed Generation Penetration Study

    SciTech Connect (OSTI)

    Miller, N.; Ye, Z.

    2003-08-01T23:59:59.000Z

    This report documents part of a multiyear research program dedicated to the development of requirements to support the definition, design, and demonstration of a distributed generation-electric power system interconnection interface concept. The report focuses on the dynamic behavior of power systems when a significant portion of the total energy resource is distributed generation. It also focuses on the near-term reality that the majority of new DG relies on rotating synchronous generators for energy conversion.

  11. Nonlinear DSTATCOM controller design for distribution network with distributed generation to enhance voltage stability

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    Nonlinear DSTATCOM controller design for distribution network with distributed generation Accepted 19 June 2013 Keywords: Distributed generation Distribution network DSATACOM Partial feedback connected to a distribution network with distributed generation (DG) to regulate the line voltage

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

    SciTech Connect (OSTI)

    Tuffner, Francis K.; Singh, Ruchi

    2011-08-09T23:59:59.000Z

    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%).

  13. Distributed Generation Dispatch Optimization under Various Electricity Tariffs

    E-Print Network [OSTI]

    Firestone, Ryan; Marnay, Chris

    2007-01-01T23:59:59.000Z

    LBNL-54447. Distributed Generation Dispatch OptimizationA Business Case for On-Site Generation: The BD Biosciencesrelated work. Distributed Generation Dispatch Optimization

  14. Distributed Generation Investment by a Microgrid Under Uncertainty

    E-Print Network [OSTI]

    Siddiqui, Afzal; Marnay, Chris

    2006-01-01T23:59:59.000Z

    option on natural gas generation, which increases in valueL ABORATORY Distributed Generation Investment by a MicrogridORMMES’06 Distributed Generation Investment by a Microgrid

  15. Stress generation during lithiation of high-capacity electrode particles in lithium ion batteries

    E-Print Network [OSTI]

    Zhu, Ting

    Stress generation during lithiation of high-capacity electrode particles in lithium ion batteries S in controlling stress generation in high-capacity electrodes for lithium ion batteries. Ã? 2013 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved. Keywords: Lithium ion battery; Lithiation

  16. Abatement of Air Pollution: Distributed Generators (Connecticut)

    Broader source: Energy.gov [DOE]

    For the purpose of these regulations, a distributed generator is defined as any equipment that converts primary fuel, including fossil fuel and renewable fuel, into electricity or electricity and...

  17. Distributed generation - the fuel processing example

    SciTech Connect (OSTI)

    Victor, R.A. [Praxair, Inc., Tonawanda, NY (United States); Farris, P.J.; Maston, V. [International Fuel Cells Corp., South Windsor, CT (United States)

    1996-12-31T23:59:59.000Z

    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.

  18. Voltage Management of Networks with Distributed Generation

    E-Print Network [OSTI]

    O'Donnell, James

    2008-01-01T23:59:59.000Z

    At present there is much debate about the impacts and benefits of increasing the amount of generation connected to the low voltage areas of the electricity distribution network. The UK government is under political ...

  19. Capacity Value of PV and Wind Generation in the NV Energy System

    SciTech Connect (OSTI)

    Lu, Shuai; Diao, Ruisheng; Samaan, Nader A.; Etingov, Pavel V.

    2014-03-21T23:59:59.000Z

    Calculation of photovoltaic (PV) and wind power capacity values is important for estimating additional load that can be served by new PV or wind installations in the electrical power system. It also is the basis for assigning capacity credit payments in systems with markets. Because of variability in solar and wind resources, PV and wind generation contribute to power system resource adequacy differently from conventional generation. Many different approaches to calculating PV and wind generation capacity values have been used by utilities and transmission operators. Using the NV Energy system as a study case, this report applies peak-period capacity factor (PPCF) and effective load carrying capability (ELCC) methods to calculate capacity values for renewable energy sources. We show the connection between the PPCF and ELCC methods in the process of deriving a simplified approach that approximates the ELCC method. This simplified approach does not require generation fleet data and provides the theoretical basis for a quick check on capacity value results of PV and wind generation. The diminishing return of capacity benefit as renewable generation increases is conveniently explained using the simplified capacity value approach.

  20. Operation of Distributed Generation Under Stochastic Prices

    SciTech Connect (OSTI)

    Siddiqui, Afzal S.; Marnay, Chris

    2005-11-30T23:59:59.000Z

    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.

  1. Temporal vs. Stochastic Granularity in Thermal Generation Capacity ...

    E-Print Network [OSTI]

    smryan

    2013-07-25T23:59:59.000Z

    [20] S. Jin, A. Botterud, S. Ryan, "Impact of demand response on thermal generation investment with high wind penetration,". Iowa State Univerity, Technical ...

  2. On the Capacity of a Wireless Backhaul for the Distribution Level of the Smart Grid

    E-Print Network [OSTI]

    Namboodiri, Vinod

    , Advanced Metering Infrastructure (AMI), Communications, Smart Meter, Capacity. I. INTRODUCTION THE need1 On the Capacity of a Wireless Backhaul for the Distribution Level of the Smart Grid Babak Karimi distribution. The advanced metering infrastructure (AMI) is one such application scenario where bidirectional

  3. Competitive electricity markets and investment in new generating capacity

    E-Print Network [OSTI]

    Joskow, Paul L.

    2006-01-01T23:59:59.000Z

    Evidence from the U.S. and some other countries indicates that organized wholesale markets for electrical energy and operating reserves do not provide adequate incentives to stimulate the proper quantity or mix of generating ...

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

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

    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...

  5. Distributed Generation Dispatch Optimization under Various Electricity Tariffs

    E-Print Network [OSTI]

    Firestone, Ryan; Marnay, Chris

    2007-01-01T23:59:59.000Z

    utility experience with RTP tariffs is described in 3. Distributed GenerationUtilities Commission, Division of Ratepayer Advocates have also provided support on related work. Distributed Generation

  6. 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,...

  7. Dynamic modelling of generation capacity investment in electricity markets with high wind penetration 

    E-Print Network [OSTI]

    Eager, Daniel

    2012-06-25T23:59:59.000Z

    The ability of liberalised electricity markets to trigger investment in the generation capacity required to maintain an acceptable level of security of supply risk has been - and will continue to be - a topic of much ...

  8. Did English generators play cournot? : capacity withholding in the electricity pool

    E-Print Network [OSTI]

    Green, Richard

    2004-01-01T23:59:59.000Z

    Electricity generators can raise the price of power by withholding their plant from the market. We discuss two ways in which this could have affected prices in the England and Wales Pool. Withholding low-cost capacity which ...

  9. Long-term contracts for new investments in power generation capacity : pain or gain?

    E-Print Network [OSTI]

    Sakhrani, Vivek A. (Vivek Ashok)

    2010-01-01T23:59:59.000Z

    In recent years, a debate has ensued regarding the role of long-term power purchase agreements for securing investments in power generation capacity in organized wholesale markets. This thesis illuminates the issues ...

  10. Distributed Generation with Heat Recovery and Storage

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    What is the appropriate level of installed capacity of these3. How should the installed capacity be operated in order tono more than its installed capacity equation (4) places an

  11. Distributed Generation Dispatch Optimization under Various Electricity Tariffs

    E-Print Network [OSTI]

    Firestone, Ryan; Marnay, Chris

    2007-01-01T23:59:59.000Z

    time of use United States Postal Service v Distributed Generation Dispatch Optimization Under Various Electricity Tariffs

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

    E-Print Network [OSTI]

    Stadler, Michael

    2010-01-01T23:59:59.000Z

    utility electricity and natural gas purchases, amortized capital and maintenance costs for distributed generation (

  13. A Distributed Generation Control Architecture for Islanded AC Microgrids

    E-Print Network [OSTI]

    Dominguez-Garcia, Alejandro

    1 A Distributed Generation Control Architecture for Islanded AC Microgrids Stanton T. Cady, Student architecture for generation control in islanded microgrids, and illustrate the performance Member, IEEE Abstract In this paper, we propose a distributed architecture for generation control

  14. The effect of distributed exchange parameters on magnetocaloric refrigeration capacity in amorphous and nanocomposite materials

    E-Print Network [OSTI]

    McHenry, Michael E.

    of Physics. Related Articles High performance magnetocaloric perovskites for magnetic refrigeration Appl energy on interatomic spacing. The magnetic entropy curve revealed extra broadening with a refrigerationThe effect of distributed exchange parameters on magnetocaloric refrigeration capacity in amorphous

  15. Physical Effects of Distributed PV Generation on California's Distribution System

    E-Print Network [OSTI]

    Cohen, Michael A

    2015-01-01T23:59:59.000Z

    Deployment of high-penetration photovoltaic (PV) power is expected to have a range of effects -- both positive and negative -- on the distribution grid. The magnitude of these effects may vary greatly depending upon feeder topology, climate, PV penetration level, and other factors. In this paper we present a simulation study of eight representative distribution feeders in three California climates at PV penetration levels up to 100\\%, supported by a unique database of distributed PV generation data that enables us to capture the impact of PV variability on feeder voltage and voltage regulating equipment. When comparing the influence of feeder location (i.e. climate) versus feeder type on outcomes, we find that location more strongly influences the incidence of reverse power flow, reductions in peak loading and the presence of voltage excursions. On the other hand, we find that feeder characteristics more strongly influence the magnitude of loss reduction and changes in voltage regulator operations. We find th...

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

    SciTech Connect (OSTI)

    NONE

    2007-10-15T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Hadley, SW

    2003-12-10T23:59:59.000Z

    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.

  18. Emissions Benefits of Distributed Generation in the Texas Market

    SciTech Connect (OSTI)

    Hadley, SW

    2005-06-16T23:59:59.000Z

    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.

  19. Centralized and Distributed Generated Power Systems -A Comparison Approach

    E-Print Network [OSTI]

    White Paper Power Systems Engineering Research Center Empowering Minds to Engineer the Future ElectricCentralized and Distributed Generated Power Systems - A Comparison Approach Future Grid Initiative Energy System #12;Centralized and Distributed Generated Power Systems - A Comparison Approach Prepared

  20. City of San Marcos- Distributed Generation Rebate Program (Texas)

    Broader source: Energy.gov [DOE]

    The City of San Marcos offers a Distributed Generation Rebate Program for the installation of grid-tied renewable energy systems. The Distributed Generation Rebate Program is offered on a first...

  1. Distributed multicast tree generation with dynamic group membership Frank Adelsteina

    E-Print Network [OSTI]

    Richard III, Golden G.

    Distributed multicast tree generation with dynamic group membership Frank Adelsteina , Golden G. Another distinguishing character- istic for tree generation algorithms is centralized versus distributed, efficient network utilization becomes a growing concern. Multicast transmission may use network bandwidth

  2. Investment and Upgrade in Distributed Generation under Uncertainty

    E-Print Network [OSTI]

    Siddiqui, Afzal

    2008-01-01T23:59:59.000Z

    utility tari?s, the electricity price may be revised only Investment and Upgrade in Distributed Generation

  3. Integrated, Automated Distributed Generation Technologies Demonstration

    SciTech Connect (OSTI)

    Jensen, Kevin

    2014-09-30T23:59:59.000Z

    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.

  4. Automatically Generating Symbolic Prefetches for Distributed Transactional Memories

    E-Print Network [OSTI]

    Boyer, Edmond

    Automatically Generating Symbolic Prefetches for Distributed Transactional Memories Alokika Dash and Brian Demsky University of California, Irvine Abstract. Developing efficient distributed applications for distributed applications. We propose a new approach to prefetching, symbolic prefetching, that can prefetch

  5. Distributed Generation with Heat Recovery and Storage

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    selection of on-site power generation with combined heat andTotal Electricity Generation Figure 13. Small MercantileWeekday Total Electricity Generation (No Storage Adoption

  6. SOFC combined cycle systems for distributed generation

    SciTech Connect (OSTI)

    Brown, R.A.

    1997-05-01T23:59:59.000Z

    The final phase of the tubular SOFC development program will focus on the development and demonstration of pressurized solid oxide fuel cell (PSOFC)/gas turbine (GT) combined cycle power systems for distributed power applications. The commercial PSOFC/GT product line will cover the power range 200 kWe to 50 MWe, and the electrical efficiency for these systems will range from 60 to 75% (net AC/LHV CH4), the highest of any known fossil fueled power generation technology. The first demonstration of a pressurized solid oxide fuel cell/gas turbine combined cycle will be a proof-of-concept 250 kWe PSOFC/MTG power system consisting of a single 200 kWe PSOFC module and a 50 kWe microturbine generator (MTG). The second demonstration of this combined cycle will be 1.3 MWe fully packaged, commercial prototype PSOFC/GT power system consisting of two 500 kWe PSOFC modules and a 300 kWe gas turbine.

  7. Distributed Generation with Heat Recovery and Storage

    SciTech Connect (OSTI)

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

    2006-06-16T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Broderick, Robert Joseph; Quiroz, Jimmy Edward; Ellis, Abraham; Reno, Matthew J. [Georgia Institute of Technology, Atlanta, GA; Smith, Jeff [Electric Power Research Institute, Knoxville, TN; Dugan, Roger [Electric Power Research Institute, Knoxville, TN

    2013-01-01T23:59:59.000Z

    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.

  9. The effect of distributed exchange parameters on magnetocaloric refrigeration capacity in amorphous and nanocomposite materials

    E-Print Network [OSTI]

    Laughlin, David E.

    energy on interatomic spacing. The magnetic entropy curve revealed extra broadening with a refrigerationThe effect of distributed exchange parameters on magnetocaloric refrigeration capacity in amorphous of Physics. Related Articles Crystallography, magnetic, and magnetocaloric properties of Gd57.5Co20Al22

  10. Investment and Upgrade in Distributed Generation under Uncertainty

    SciTech Connect (OSTI)

    Siddiqui, Afzal; Maribu, Karl

    2008-08-18T23:59:59.000Z

    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.

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

    Office of Scientific and Technical Information (OSTI)

    Documents for Power Generation And Distribution Science Subject Feed Seventh Edition Fuel Cell Handbook NETL (2004) 118 > Electric power high-voltage transmission lines:...

  12. A Valuation-Based Framework for Considering Distributed Generation...

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

    tools to inform further discussions. Keywords-tariff design, ratemaking, distributed generation, photovoltaic, solar valuation, value of solar, cost-benefit analysis I....

  13. Distributed Generation Investment by a Microgrid under Uncertainty

    E-Print Network [OSTI]

    Siddiqui, Afzal

    2008-01-01T23:59:59.000Z

    L, editor. 11 th Annual Real Options Conference, Berkeley,from its utility. Using the real options approach, we find aDistributed Generation; Real Options; Optimal Investment;

  14. Distributed Generation Investment by a Microgrid Under Uncertainty

    E-Print Network [OSTI]

    Siddiqui, Afzal; Marnay, Chris

    2006-01-01T23:59:59.000Z

    utility. Using the real options approach, we find naturalDistributed Generation; Real Options; Optimal Investment. 1.based microgrid via the real options approach to determine

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

    Open Energy Info (EERE)

    of Distributed Generation Small-Scale, Gas-Fired CHP AgencyCompany Organization Argonne National Laboratory Sector Energy Topics Background analysis Website http:...

  16. Distributed Generation with Heat Recovery and Storage

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    Only Load Electricity Generation By Fuel in the U.S.electricity generation from most sources, except oil, is growing to meet the growing demand and that fossil fuels

  17. CARBON MANAGEMENT STRATEGIES FOR U.S. ELECTRICITY GENERATION CAPACITY: A VINTAGE-BASED APPROACH

    SciTech Connect (OSTI)

    Dahowski, Robert T.; Dooley, James J.

    2004-06-01T23:59:59.000Z

    This paper examines the stock of fossil-fired power generation capacity in the United States within the context of climate change. At present, there are over 1,337 fossil-fired power generating units of at least 100 MW in capacity, that began operating between the early 1940s and today. Together these units provide some 453 GW of electric power. Launching a national program to accelerate the early retirement of this stock or tearing them down and undertaking near-term brownfield redevelopment with advanced power cycle technologies as a means of addressing their greenhouse gas emissions will not be a sensible option for all of these units. Considering a conservative 40-year operating life, there are over 667 existing fossil-fired power plants, representing a capacity of over 291 GW, that have at least a decades worth of productive life remaining. This paper draws upon specialized tools developed by Battelle to analyze the characteristics of this subset of U.S. power generation assets and explore the relationships between plant type, location, emissions, and vintage. It examines the use of retrofit carbon capture technologies, considering criteria such as the proximity of these power plants to geologic reservoirs, to assess the potential that geologic sequestration of CO2 offers these plants for managing their emissions. The average costs for retrofitting these plants and sequestering their CO2 into nearby geologic reservoirs are presented. A discussion of a set of planned U.S. fossil-fired power projects within this context is also included.

  18. SMALL TURBOGENERATOR TECHNOLOGY FOR DISTRIBUTED GENERATION

    SciTech Connect (OSTI)

    Sy Ali; Bob Moritz

    2001-09-01T23:59:59.000Z

    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.

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

    Open Energy Info (EERE)

    generation, smart grid and energy storage. Annex 9 is a list of pilot programs and case studies, with links to those resources. References Retrieved from "http:...

  20. Investment and Upgrade in Distributed Generation under Uncertainty

    E-Print Network [OSTI]

    Guillas, Serge

    decision as the opportunity cost of exercising the investment option increases as well. In this paper, weInvestment and Upgrade in Distributed Generation under Uncertainty Afzal Siddiqui Karl Maribu 13 for microgrids to use small-scale distributed generation (DG) and combined heat and power (CHP) applications via

  1. Distributed Generation in Buildings (released in AEO2005)

    Reports and Publications (EIA)

    2008-01-01T23:59:59.000Z

    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.

  2. Distributed Medium Access Control for Next Generation CDMA Wireless Networks

    E-Print Network [OSTI]

    Zhuang, Weihua

    Distributed Medium Access Control for Next Generation CDMA Wireless Networks Hai Jiang, Princeton wireless networks are expected to have a simple infrastructure with distributed control. In this article, we consider a generic distributed network model for future wireless multi- media communications

  3. A reliability assessment methodology for distribution systems with distributed generation 

    E-Print Network [OSTI]

    Duttagupta, Suchismita Sujaya

    2006-08-16T23:59:59.000Z

    Reliability assessment is of primary importance in designing and planning distribution systems that operate in an economic manner with minimal interruption of customer loads. With the advances in renewable energy sources, ...

  4. Options for Control of Reactive Power by Distributed Photovoltaic Generators

    E-Print Network [OSTI]

    Sulc, Petr; Backhaus, Scott; Chertkov, Michael

    2010-01-01T23:59:59.000Z

    High penetration levels of distributed photovoltaic(PV) generation on an electrical distribution circuit present several challenges and opportunities for distribution utilities. Rapidly varying irradiance conditions may cause voltage sags and swells that cannot be compensated by slowly responding utility equipment resulting in a degradation of power quality. 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 discuss and compare via simulation various design options for control systems to manage the reactive power generated by these inverters. An important design de...

  5. Distributed Generation Dispatch Optimization under Various Electricity Tariffs

    E-Print Network [OSTI]

    Firestone, Ryan; Marnay, Chris

    2007-01-01T23:59:59.000Z

    purchase abs. cooling offset electric supply (kW) hourTariffs electric supply (kW) abs. cooling offset purchasecooling offset Distributed Generation Dispatch Optimization Under Various Electricity Tariffs electric supply (

  6. Investment and Upgrade in Distributed Generation under Uncertainty

    E-Print Network [OSTI]

    Siddiqui, Afzal

    2008-01-01T23:59:59.000Z

    ment of uncertainty via real options increases the value of2007) and the 2007 Real Options Conference in Berkeley, CA,distributed generation, real options JEL Codes: D81, Q40

  7. Advanced Distributed Generation LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapersWindeySanta Clara,Addington,Admire,CA 94105Advanced Distributed

  8. Distributed Generation Systems Inc | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision| Open Energy Information At1986)Distributed

  9. Local Control of Reactive Power by Distributed Photovoltaic Generators

    E-Print Network [OSTI]

    Turitsyn, Konstantin S; Backhaus, Scott; Chertkov, Misha

    2010-01-01T23:59:59.000Z

    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 re...

  10. Local control of reactive power by distributed photovoltaic generators

    SciTech Connect (OSTI)

    Chertkov, Michael [Los Alamos National Laboratory; Turitsyn, Konstantin [Los Alamos National Laboratory; Sulc, Petr [Los Alamos National Laboratory; Backhaus, Scott [Los Alamos National Laboratory

    2010-01-01T23:59:59.000Z

    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.

  11. Generating generalized distributions from dynamical simulation

    E-Print Network [OSTI]

    Barth, Eric J.; Laird, Brian Bostian; Leimkuhler, Benedict J.

    2003-03-18T23:59:59.000Z

    virtual momentum related to the actual momentum of the system by p˜5sp.3 The equations of motion generated by the Nose´ Hamiltonian @Eq. ~1!# are dq dt 5M 21p˜/s2, ~2! dp˜ dt 52„V~q!, ~3! ds dt 5 p Q , ~4! dp dt 5 p˜TM21p˜ s3 2gkBT/s . ~5! The Nose´ method... regulates the temperature of the sys- tem through a dynamical time transformation given by dt/dt5s , where t is the Nose´ ~virtual! time and t is real time. The remarkable property of Nose´ dynamics is that mi- crocanonical sampling of the extended phase...

  12. Insertion of Distributed Generation into Rural Feeders , R. MORENO+

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Católica de Chile)

    -generating technologies with new technologies that pollute less. Therefore, the use of renewable energies in the worldwide of renewable energy distributed generators (DG) to radial feeders is assessed. Often, the long distance between, however, are not usually designed to receive energy at the consumer end. This problem intensifies

  13. Introduction to Network Analysis 21 Generating Functions and Degree Distributions

    E-Print Network [OSTI]

    Safro, Ilya

    Introduction to Network Analysis 21 Generating Functions and Degree Distributions we add zero term because of infinity #12;Introduction to Network Analysis 22 Number of second neighbors of a vertex Probability of having k second neighbors given m first neighbors degree distribution Prob excess degrees of m

  14. Low-cost distributed solar-thermal-electric power generation

    E-Print Network [OSTI]

    Sanders, Seth

    Low-cost distributed solar-thermal-electric power generation A. Der Minassians, K. H. Aschenbach discuss the technical and economic feasibility of a low-cost distributed solar-thermal-electric power technologies should be judged by output power per dollar rather than by efficiency or other technical merits

  15. Voltage Control of Distribution Networks with Distributed Generation using Reactive Power

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    Voltage Control of Distribution Networks with Distributed Generation using Reactive Power to control voltage of distribution networks with DG using reactive power compensation approach. In this paper profile within the specified limits, it is essential to regulate the reactive power of the compensators

  16. The Value of Distributed Generation under Different Tariff Structures

    E-Print Network [OSTI]

    Firestone, Ryan; Magnus Maribu, Karl; Marnay, Chris

    2006-01-01T23:59:59.000Z

    the RTP structure – installed capacity is correspondinglystandby charge ($/kW of installed capacity) to the New YorkFigure 5 displays the installed capacity for each scenario

  17. OPF evaluation of distribution network capacity for the connection of distributed generation

    E-Print Network [OSTI]

    Harrison, Gareth

    threaten the achievement of renewable energy targets. One means of addressing this risk is to encourage the network. #12;3 1. Introduction The European Union Renewables Directive and national incentives such as the UK Renewables Obligations [1]-[2] are encouraging the development of renewable energy resources

  18. Efficiency and Air Quality Implications of Distributed Generation and Combined Heat

    E-Print Network [OSTI]

    Efficiency and Air Quality Implications of Distributed Generation and Combined Heat and Power potentially increase exposure to air pollutants. When distributed generation is efficiently deployed to determine accurately the efficiencies and emissions of various applications of distributed generation

  19. Options for Control of Reactive Power by Distributed Photovoltaic Generators

    E-Print Network [OSTI]

    Petr Sulc; Konstantin Turitsyn; Scott Backhaus; Michael Chertkov

    2010-08-04T23:59:59.000Z

    High penetration levels of distributed photovoltaic(PV) generation on an electrical distribution circuit present several challenges and opportunities for distribution utilities. Rapidly varying irradiance conditions may cause voltage sags and swells that cannot be compensated by slowly responding utility equipment resulting in a degradation of power quality. 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 discuss and compare via simulation various design options for control systems to manage the reactive power generated by these inverters. An important design decision that weighs on the speed and quality of communication required is whether the control should be centralized or distributed (i.e. local). In general, we find that local control schemes are capable for maintaining voltage within acceptable bounds. We consider the benefits of choosing different local variables on which to control and how the control system can be continuously tuned between robust voltage control, suitable for daytime operation when circuit conditions can change rapidly, and loss minimization better suited for nighttime operation.

  20. Cascade Failures from Distributed Generation in Power Grids

    E-Print Network [OSTI]

    Scala, Antonio; Scoglio, Caterina

    2012-01-01T23:59:59.000Z

    Power grids are nowadays experiencing a transformation due to the introduction of Distributed Generation based on Renewable Sources. At difference with classical Distributed Generation, where local power sources mitigate anomalous user consumption peaks, Renewable Sources introduce in the grid intrinsically erratic power inputs. By introducing a simple schematic (but realistic) model for power grids with stochastic distributed generation, we study the effects of erratic sources on the robustness of several IEEE power grid test networks with up to 2000 buses. We find that increasing the penetration of erratic sources causes the grid to fail with a sharp transition. We compare such results with the case of failures caused by the natural increasing power demand.

  1. A planning scheme for penetrating embedded generation in power distribution grids

    E-Print Network [OSTI]

    Wang, Jiankang, Ph. D. Massachusetts Institute of Technology

    2013-01-01T23:59:59.000Z

    Penetrating Embedded Generation, or Distributed Generation (DG), in power distribution grids presents great benefits and substantial positive social impacts to utilities, system operators and electricity consumers. Existing ...

  2. Ris Energy Report 4 Distributed generation 1 What is distributed generation?

    E-Print Network [OSTI]

    generation (DG) refers to an emerging evolu- tion of the electric power generation systems, in which all of the Euro- pean Union (CEU) as an essential part of the develop- ment of the European power system the use of modelling in these contexts, including: · strategic planning and policymaking · detailed system

  3. Generate Uniform Transverse Distributed Electron Beam along a Beam Line

    E-Print Network [OSTI]

    Jiao, Y

    2015-01-01T23:59:59.000Z

    It has been reported that transverse distribution shaping can help to further enhance the energy extraction efficiency in a terawatt, tapered X-ray free-electron laser. Thus, methods of creating and keeping almost uniform transverse distributed (UTD) beam within undulators are required. This study shows that a UTD electron beam can be generated within evenly distributed drift sections where undulators can be placed, by means of octupoles and particular optics. A concrete design is presented, and numerical simulations are done to verify the proposed method.

  4. Introduction to Network Analysis 15 Generating Functions and Degree Distributions

    E-Print Network [OSTI]

    Duchowski, Andrew T.

    Introduction to Network Analysis 15 Generating Functions and Degree Distributions #12;Introduction to Network Analysis 16 Polylogarithm drawn values add to a specific sum #12;Introduction to Network Analysis-loops, multi-edges #12;Introduction to Network Analysis 18 Configuration Model Conclusion: expected number

  5. Parton distributions and event generators Stefano Carrazza, Stefano Forte

    E-Print Network [OSTI]

    Heller, Barbara

    Parton distributions and event generators Stefano Carrazza, Stefano Forte Dipartimento di Fisica ingredient in achieving all of these goals is the integration of parton distri- butions within Monte Carlo, and data collected in an experimental fiducial region. Whereas next-to-leading (NLO) order Monte Carlo

  6. 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

    2008-03-31T23:59:59.000Z

    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.”

  7. Design of a Norm-Bounded LQG Controller for Power Distribution Networks with Distributed Generation

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    . Therefore, control of modern electric power systems becomes more and more challenging as the present trends control is essential. Moreover, induction motor loads account for a large portion of domestic loadsDesign of a Norm-Bounded LQG Controller for Power Distribution Networks with Distributed Generation

  8. RANDOM VARIATE GENERATION FOR THE DIGAMMA AND TRIGAMMA DISTRIBUTIONS Luc Devroye

    E-Print Network [OSTI]

    Devroye, Luc

    RANDOM VARIATE GENERATION FOR THE DIGAMMA AND TRIGAMMA DISTRIBUTIONS Luc Devroye School of Computer these distributions and selected generalized hypergeometric distributions. The generators can also be used for the discrete stable distribution, the Yule distribution, Mizutani's distribution and the Waring distribution

  9. Modeling and Verification of Distributed Generation and Voltage Regulation Equipment for Unbalanced Distribution Power Systems; Annual Subcontract Report, June 2007

    SciTech Connect (OSTI)

    Davis, M. W.; Broadwater, R.; Hambrick, J.

    2007-07-01T23:59:59.000Z

    This report summarizes the development of models for distributed generation and distribution circuit voltage regulation equipment for unbalanced power systems and their verification through actual field measurements.

  10. Laboratories for the 21st Century Best Practices: Onsite Distributed Generation Systems For Laboratories

    Broader source: Energy.gov [DOE]

    Guide describes general information on implementing onsite distributed generation systems in laboratory environments.

  11. Utility/Industry Partnerships Involving Distributed Generation Technologies in Evolving Electricity Markets

    E-Print Network [OSTI]

    Rastler, D. M.

    Wires Manage Wires defer capital Optimize Energy Services Not Utility Business Not Utility Business New Business Opportunities DISTRIBUTED GENERATION Distributed generation includes small gas turbines, micro-turbines, fuel cells, storage...UTILITYIINDUSTRY PARTNERSHIPS INVOLVING DISTRIBUTED GENERATION TECHNOLOGIES IN EVOLVING ELECTRICITY MARKETS Daniel M. Rastler Manager, Fuel Cells and Distributed Generation Electric Power Research Institute Palo Alto, California ABSTRACT...

  12. Distributed Generation Investment by a Microgrid UnderUncertainty

    SciTech Connect (OSTI)

    Siddiqui, Afzal; Marnay, Chris

    2006-06-16T23:59:59.000Z

    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.

  13. Distributed Generation Investment by a Microgrid under Uncertainty

    SciTech Connect (OSTI)

    Marnay, Chris; Siddiqui, Afzal; Marnay, Chris

    2008-08-11T23:59:59.000Z

    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.

  14. Reliability Improvement Programs in Steam Distribution and Power Generation Systems

    E-Print Network [OSTI]

    Petto, S.

    RELIABILITY IIIPROVEfWlT PROGRAMS IN STEAM DISTRIBUTION AND POVER GENERATION SYSTEItS Steve Petto Tech/Serv Corporation Blue Bell, PA Abstract This paper will present alternatives to costly corrective maintenance of the steam trap... In the reliability and efficiency of the system. Recent studies have shownt hat more than 40% of all In stalled steam traps and 20% of certain types of valves need some form of corrective action. The majority of all high backpressure problems In condensate return...

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

    SciTech Connect (OSTI)

    Anthony Terrinoni; Sean Gifford

    2008-06-30T23:59:59.000Z

    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.

  16. Interconnection Standards for Small Generators

    Broader source: Energy.gov [DOE]

    The Federal Energy Regulatory Commission (FERC) adopted "small generator" interconnection standards for distributed energy resources up to 20 megawatts (MW) in capacity in May 2005.* The FERC's...

  17. Fuel cycle comparison of distributed power generation technologies.

    SciTech Connect (OSTI)

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

    2008-12-08T23:59:59.000Z

    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.

  18. Optimal Solar PV Arrays Integration for Distributed Generation

    SciTech Connect (OSTI)

    Omitaomu, Olufemi A [ORNL; Li, Xueping [University of Tennessee, Knoxville (UTK)

    2012-01-01T23:59:59.000Z

    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.

  19. Assessment of Distributed Generation Potential in JapaneseBuildings

    SciTech Connect (OSTI)

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

    2005-05-25T23:59:59.000Z

    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.

  20. The Value of Distributed Generation under Different TariffStructures

    SciTech Connect (OSTI)

    Firestone, Ryan; Magnus Maribu, Karl; Marnay, Chris

    2006-05-31T23:59:59.000Z

    Distributed generation (DG) may play a key role in a modern energy system because it can improve energy efficiency. Reductions in the energy bill, and therefore DG attractiveness, depend on the electricity tariff structure; a system created before widespread adoption of distributed generation. Tariffs have been designed to recover costs equitably amongst customers with similar consumption patterns. Recently, electric utilities began to question the equity of this electricity pricing structure for standby service. In particular, the utilities do not feel that DG customers are paying their fair share of transmission and distribution costs - traditionally recovered through a volumetric($/kWh) mechanism - under existing tariff structures. In response, new tariff structures with higher fixed costs for DG have been implemented in New York and in California. This work analyzes the effects of different electricity tariff structures on DG adoption. First, the effects of the new standby tariffs in New York are analyzed in different regions. Next generalized tariffs are constructed, and the sensitivity to varying levels of the volumetric and the demand ($/kW, i.e. maximum rate) charge component are analyzed on New York's standard and standby tariff as well as California's standby tariff. As expected, DG profitability is reduced with standby tariffs, but often marginally. The new standby structures tend to promote smaller base load systems. The amount of time-of-day variability of volumetric pricing seems to have little effect on DG economics.

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

    SciTech Connect (OSTI)

    Faress Rahman; Nguyen Minh

    2004-01-04T23:59:59.000Z

    This report summarizes the work performed by Hybrid Power Generation Systems, LLC (HPGS) during the July 2003 to December 2003 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 micro-turbine. In addition, an activity included in this program focuses on the development of an integrated coal gasification fuel cell system concept based on planar SOFC technology. Also, another activity included in this program focuses on the development of SOFC scale up strategies.

  2. 1 Control Challenges of Fuel Cell-Driven Distributed Generation

    E-Print Network [OSTI]

    Valery Knyazkin; Lennart Söder; Claudio Canizares

    Abstract — This paper discusses the load following capability of fuel cell-driven power plants. A linear model of a Solid Oxide Fuel Cell power plant is obtained and utilized for the design of robust controllers which enhance tracking response of the plant and reject disturbances originating from the distribution grid. Two robust controllers are synthesized applying the H? mixed-sensitivity optimization and their performance is validated by means of nonlinear time-domain simulations. The obtained results indicate that the disturbances can be successfully attenuated; however, the tracking response cannot be significantly improved without a modification of the design of the fuel cell power plant. The paper is concluded by a brief discussion on the physical limitations on the fuel cell output power ramp and possible solutions are outlined. Index Terms — Distributed generation, Solid Oxide Fuel Cells, robust control, H ? controller design, disturbance rejection.

  3. 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

    2004-09-30T23:59:59.000Z

    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.

  4. Distributed Generation Study/Emerling Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE FacilityDimondale, Michigan:Emerling Farm < Distributed Generation Study

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE FacilityDimondale, Michigan:Emerling Farm < Distributed Generation

  6. IMPACT OF FUEL CELL BASED HYBRID DISTRIBUTED GENERATION IN AN ELECTRICAL DISTRIBUTION

    E-Print Network [OSTI]

    unknown authors

    Recent developments in distributed generation technologies have enabled new options for supplying electrical energy in remote and off-grid areas. The importance of fuel cells has increased during the past decade due to the extensive use of fossil fuels for electrical power has resulted in many negative consequences. Fuel cells are now closer to commercialization than past and they have the ability to fulfill all of the global power needs while meeting the economic and environmental expectations..The objective of this paper is to study the economic performance and operation of a fuel cell distributed generation and to provide an assessment of the economic issues associated in electrical network. In this study, with HOMER (Hybrid Optimization Model for Electric Renewables) software, NREL’s micro power optimization model performed a range of equipment options over varying constraints and sensitivities to optimize small power distribution systems. Its flexibility makes it useful in the evaluation of design issues in the planning and early decision-making phase of rural electrification projects. This study concludes that fuel cell systems appear competitive today if is connected with proposed hybrid DG in an AC distribution grid. The overall energy management strategy for coordinating the power flows among the different energy sources is presented with cost-effective approach.

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

    SciTech Connect (OSTI)

    Kurt Montgomery; Nguyen Minh

    2003-08-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Nguyen Minh

    2002-03-31T23:59:59.000Z

    This report summarizes the work performed by Honeywell during the January 2002 to March 2002 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. For this reporting period the following activities have been carried out: {lg_bullet} Conceptual system design trade studies were performed {lg_bullet} System-level performance model was created {lg_bullet} Dynamic control models are being developed {lg_bullet} Mechanical properties of candidate heat exchanger materials were investigated {lg_bullet} SOFC performance mapping as a function of flow rate and pressure was completed

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

    SciTech Connect (OSTI)

    Unknown

    2002-03-01T23:59:59.000Z

    This report summarizes the work performed by Honeywell during the July 2001 to September 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. An internal program kickoff was held at Honeywell in Torrance, CA. The program structure was outlined and the overall technical approach for the program was presented to the team members. Detail program schedules were developed and detailed objectives were defined. Initial work has begun on the system design and pressurized SOFC operation.

  10. Distributed generation capabilities of the national energy modeling system

    SciTech Connect (OSTI)

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

    2003-01-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    2006-01-10T23:59:59.000Z

    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.

  12. Biomass Power Generation Market Capacity is Estimated to Reach 122,331.6 MW

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass ConversionsSouthby 2022 | OpenEI Community Biomass Power Generation

  13. Central power generation versus distributed generation e An air quality assessment in the South Coast Air Basin of California

    E-Print Network [OSTI]

    Dabdub, Donald

    Keywords: Distributed generation Central generation Air quality modeling Reactivity a b s t r a c by the widespread installation of many stationary power generators close to the point of electricity use within from which electricity must be transmitted to end users. However, increasing electricity demand

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

    SciTech Connect (OSTI)

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

    2005-06-01T23:59:59.000Z

    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.

  15. Distributed Generation Investment by a Microgrid under Uncertainty

    E-Print Network [OSTI]

    Siddiqui, Afzal

    2008-01-01T23:59:59.000Z

    Cost of Natural Gas Generation, p Figure 6. Normalised NetCost of Natural Gas Generation, p Figure 7. Wait InvestCost of Natural Gas Generation (US$/kWh e ), C Figure 8.

  16. Air Quality Impact of Distributed Generation of Electricity

    E-Print Network [OSTI]

    Jing, Qiguo

    2011-01-01T23:59:59.000Z

    of the near source air quality impact of distributedDabdub, D. , 2003. Urban Air quality impacts of distributedDabdub, D. , 2004. Urban Air quality impacts of distributed

  17. 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

    2006-03-21T23:59:59.000Z

    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.

  18. Automated di/dt Stressmark Generation for Microprocessor Power Distribution Networks

    E-Print Network [OSTI]

    John, Lizy Kurian

    Automated di/dt Stressmark Generation for Microprocessor Power Distribution Networks Youngtaek Kim for automated di/dt stressmark generation to test maximum voltage droop in a microprocessor power distribution and typical benchmarks in experiments covering three micro-processor architectures and five power distribution

  19. Fuel cell power plants in a distributed generator application

    SciTech Connect (OSTI)

    Smith, M.J. [International Fuel Cells Corp., South Windsor, CT (United States)

    1996-12-31T23:59:59.000Z

    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.

  20. Abstract--This paper proposes a distributed generator (DG) placement methodology based on newly defined term reactive

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    . Index Terms--Distributed generator (DG), reactive power loadability, solar, voltage regulation, wind generator. I. INTRODUCTION istributed generation based on renewable energy sources offers a promising

  1. 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

    2009-08-15T23:59:59.000Z

    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.

  2. Methodology The electricity generation and distribution network in the Western United States is

    E-Print Network [OSTI]

    Hall, Sharon J.

    Methodology The electricity generation and distribution network in the Western United States is comprised of power plants, electric utilities, electrical transformers, transmission and distribution infrastructure, etc. We conceptualize the system as a transportation network with resources (electricity

  3. Articles about Distributed Wind | Department of Energy

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

    and is poised for future growth that could double the capacity of renewable electricity generation from resources like wind power by 2020. March 31, 2014 PNNL Reports Distributed...

  4. Dynamic equivalencing of distribution network with embedded generation 

    E-Print Network [OSTI]

    Feng, Xiaodan Selina

    2012-06-25T23:59:59.000Z

    Renewable energy generation will play an important role in solving the climate change problem. With renewable electricity generation increasing, there will be some significant changes in electric power systems, ...

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

    E-Print Network [OSTI]

    Marnay, Chris

    2010-01-01T23:59:59.000Z

    2020 S00 S/t of carbon mpared to CHP, PV a n d solar t h e rm a l as options in DE R-CAM only CHP as optioninDER-CAM CHP Capacity: 2.25 GW CHP Electricity: 10.05 TWh

  6. EIA - Electricity Generating Capacity

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment ActivitiesAgeDieselDiesel prices up

  7. Smoothing the Eects of Renewable Generation on the Distribution Grid

    E-Print Network [OSTI]

    Naud, Paul S.

    2014-01-01T23:59:59.000Z

    to Grid by Paul Naud Renewable electrical power sourcessystem based on various renewable energy resources. InCRUZ Smoothing the Effects of Renewable Generation on the

  8. Distributed Generation Investment by a Microgrid Under Uncertainty

    E-Print Network [OSTI]

    Siddiqui, Afzal; Marnay, Chris

    2006-01-01T23:59:59.000Z

    electricity markets , PhD thesis, University of California, Berkeley, CA, USA,USA, 1994. Joskow PL, Productivity growth and technical change in the generation of electricity,

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

    Office of Scientific and Technical Information (OSTI)

    new boundary issues and requirements, islanding issues, and how it impacts distributed wind. times redirected to final destination ShortURL Code Published Current state Most...

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

    SciTech Connect (OSTI)

    Preus, R.

    2014-06-01T23:59:59.000Z

    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.

  11. Control and Analysis of Droop and Reverse Droop Controllers for Distributed Generations

    E-Print Network [OSTI]

    Vasquez, Juan Carlos

    Control and Analysis of Droop and Reverse Droop Controllers for Distributed Generations Dan Wu1 University, P. R. China ftang_nego@126.com Abstract--This paper addresses control and analysis of droop and reverse droop control for distributed generations (DG). The droop control is well known applied

  12. Self-triggered Communication Enabled Control of Distributed Generation in Microgrids

    E-Print Network [OSTI]

    Mazumder, Sudip K.

    1 Self-triggered Communication Enabled Control of Distributed Generation in Microgrids Muhammad. I. INTRODUCTION Effective integration of multiple distributed generation (DG) units in microgrids. Conventionally the secondary control in a microgrid is based on a centralized control structure using periodic

  13. 1170 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 28, NO. 2, MAY 2013 Independent Distributed Generation Planning

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    -scale electric generation facilities to participate in distributed generation (DG) with few requirements on power-purchase1170 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 28, NO. 2, MAY 2013 Independent Distributed is maximized via procuring power from DGs and the market at a minimum expense. On the other hand, each DG unit

  14. Power Flow Analysis Algorithm for Islanded LV Microgrids Including Distributed Generator Units with

    E-Print Network [OSTI]

    Chaudhary, Sanjay

    Power Flow Analysis Algorithm for Islanded LV Microgrids Including Distributed Generator Units With larger portion of growing electricity demand which is being fed through distributed generation (DG power system. Being able to operate in both grid-connected and islanded mode, a microgrid manages

  15. Reactive power management of distribution networks with wind generation for improving voltage stability

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    -loadability Reactive power margin Wind turbine a b s t r a c t This paper proposes static and dynamic VAR planningReactive power management of distribution networks with wind generation for improving voltage February 2013 Available online Keywords: Composite load Distributed generation D-STATCOM Q

  16. OPTIMAL DISTRIBUTED POWER GENERATION UNDER NETWORK LOAD CONSTRAINTS,

    E-Print Network [OSTI]

    Frank, Jason

    of novel components for decentral power generation (solar panels, small wind turbines and heat pumps). This gives rise to the question how many units of each type (solar panel, small wind turbine or central-producers. Decentralized Power Generation (DPG) refers to an electric power source such as solar, wind or combined heat

  17. Integrating Distributed Generation: Regulation and Trends in three leading countries

    E-Print Network [OSTI]

    Anaya, Karim L.; Pollitt, Michael G.

    2015-01-01T23:59:59.000Z

    . In addition, it has the most developed permitting and sitting procedures which have improved over time. Priority access to the grid is given to wind energy along with long-term targets for wind development. As of 2012, there were around 5,020 wind turbines... which accounted for 30% of the domestic electricity supply. The size of the majority of wind turbines is between 0.5 and 0.9 MW and represents 42% of the total wind capacity (DEA, 2012). Figure 8 illustrates the trend in wind energy (onshore...

  18. Quantifying the Air Pollution Exposure Consequences of Distributed Electricity Generation

    E-Print Network [OSTI]

    Heath, Garvin A.; Granvold, Patrick W.; Hoats, Abigail S.; Nazaroff, William W

    2005-01-01T23:59:59.000Z

    2: L A City, DWP Valley Generating 1: Hunters Point 2: PG &E Co, Hunters Point Power 1: SDG & E Co/Kearny Mesa GT 2:Angeles ST(4) BF(2) Hunters Point San Francisco NG, Diesel

  19. March 2015 Most Viewed Documents for Power Generation And Distribution...

    Office of Scientific and Technical Information (OSTI)

    Methods for Power Distribution Systems: Final Report Tom McDermott (2010) 67 Frequency Control Concerns in the North American Electric Power System Kirby, B.J. (2003) 64 A...

  20. Smoothing the Eects of Renewable Generation on the Distribution Grid

    E-Print Network [OSTI]

    Naud, Paul S.

    2014-01-01T23:59:59.000Z

    Fortunately, inverter data from a customer with a PV systemsystem, in series with a PV array and ahead of the inverter,PV is fed into an inverter to feed energy into the distribution system.

  1. Random Boolean networks with number of parents generated by certain probability distributions

    E-Print Network [OSTI]

    Matache, Dora

    Random Boolean networks with number of parents generated by certain probability distributions Ray A following a Power Law distribution. Others have examined how highly connected networks use a Popularity network where the number of parents are obtained using a Power Law distribution and are connected based

  2. Distributed Generation Dispatch Optimization under VariousElectricity Tariffs

    SciTech Connect (OSTI)

    Firestone, Ryan; Marnay, Chris

    2007-05-01T23:59:59.000Z

    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.

  3. Distributed Generation Investment by a Microgrid under Uncertainty++++ Afzal Siddiqui

    E-Print Network [OSTI]

    Guillas, Serge

    , CA 94720-8163, USA, c_marnay@lbl.gov ABSTRACT. This paper examines a California-based microgrid-term natural gas generation cost is stochastic, we initially assume that the microgrid may purchase electricity is not attractive. By allowing the electricity price to be stochastic, we next determine an investment threshold

  4. Optimal distributed power generation under network load constraints

    E-Print Network [OSTI]

    Utrecht, Universiteit

    wind turbines and heat pumps). This gives rise to the question how many units of each type (solar panel, mainly because of the development of novel components for decentral power generation (solar panels, small (DPG) refers to an electric power source such as solar, wind or combined heat power (CHP) connected

  5. Distributed Power Generation: Requirements and Recommendations for an ICT Architecture

    E-Print Network [OSTI]

    Appelrath, Hans-Jürgen

    . In the future of energy markets, the distributed energy production through wind and hydroelectric power plants. Some of these are sustainable (wind and hydroelectric power plants, solar cells), some are controllable, one has to distinguish between two in principle different products: consumption power and balance

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

    SciTech Connect (OSTI)

    Ye, Z.

    2006-03-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Jones, Nic [Solar San Antonio, TX (United States); Norris, Ben [Clean Power Research, Napa, CA (United States); Meyer, Lisa [City of San Antonio, TX (United States)

    2013-02-14T23:59:59.000Z

    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.

  8. Investigation of anti-islanding schemes for utility interconnection of distributed fuel cell powered generations 

    E-Print Network [OSTI]

    Jeraputra, Chuttchaval

    2006-04-12T23:59:59.000Z

    The rapid emergence of distributed fuel cell powered generations (DFPGs) operating in parallel with utility has brought a number of technical concerns as more DFPGs are connected to utility grid. One of the most challenging ...

  9. Applying epoch-era analysis for homeowner selection of distributed generation power systems

    E-Print Network [OSTI]

    Piña, Alexander L

    2014-01-01T23:59:59.000Z

    The current shift from centralized energy generation to a more distributed model has opened a number of choices for homeowners to provide their own power. While there are a number of systems to purchase, there are no tools ...

  10. Distributed generation and demand side management : applications to transmission system operation 

    E-Print Network [OSTI]

    Hayes, Barry Patrick

    2013-07-01T23:59:59.000Z

    Electricity networks are undergoing a period of rapid change and transformation, with increased penetration levels of renewable-based distributed generation, and new influences on electricity end-use patterns from ...

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaefer To:Department of Energy CompletingPresentedGeneration FY13

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy : bDistributed

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE FacilityDimondale, Michigan:Emerling Farm < Distributed

  14. Distributed Generation Study/Hudson Valley Community College | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE FacilityDimondale, Michigan:Emerling Farm < DistributedInformation

  15. Velocity distribution measurements in atomic beams generated using laser induced back-ablation

    E-Print Network [OSTI]

    Denning, A; Lee, S; Ammonson, M; Bergeson, S D

    2008-01-01T23:59:59.000Z

    We present measurements of the velocity distribution of calcium atoms in an atomic beam generated using a dual-stage laser back-ablation apparatus. Distributions are measured using a velocity selective Doppler time-of-flight technique. They are Boltzmann-like with rms velocities corresponding to temperatures above the melting point for calcium. Contrary to a recent report in the literature, this method does not generate a sub-thermal atomic beam.

  16. Fault Current Issues for Market Driven Power Systems with Distributed Generation

    E-Print Network [OSTI]

    are required for the selection of interruption devices, protective relays, and their coordination. Systems must Terms--Distributed / dispersed generation, power distri- bution, power system protection, fault in siting conventional generation ­ but, for whatever reason, protection engineers as well as transmission

  17. Distributed Load Demand Scheduling in Smart Grid to Minimize Electricity Generation Cost

    E-Print Network [OSTI]

    Pedram, Massoud

    is to perform demand side management (DSM) [1], which aims at matching the consum- ers' electricity demand between electricity consumption and generation. On the consumption side, electric demand ramps upDistributed Load Demand Scheduling in Smart Grid to Minimize Electricity Generation Cost Siyu Yue

  18. A forward microphysical model to predict the size-distribution parameters of laboratory generated (mimic)

    E-Print Network [OSTI]

    Oxford, University of

    A forward microphysical model to predict the size- distribution parameters of laboratory generated Interactions ­ Condensational Growth and Coagulation, Submitted for Indian Aerosol Science and Technology Microphysical Model for the UTLS (FAMMUS) is applied to predict the size-distribution parameters of laboratory

  19. A New Approach to Mitigate the Impact of Distributed Generation on the Overcurrent Protection Scheme of Radial Distribution Feeders

    E-Print Network [OSTI]

    Funmilayo, Hamed

    2010-01-14T23:59:59.000Z

    ........................................................5 2.3. Overcurrent Protection Coordination Rules ....................................................10 2.4. Distributed Generation (DG) in Radial Feeders ..............................................15 2.5. Radial Feeder with DG.............................................................................29 3.3. System Protection............................................................................................31 3.4. Interconnection Protection...............................................................................35 3.5. DG Unit...

  20. Investigation of anti-islanding schemes for utility interconnection of distributed fuel cell powered generations

    E-Print Network [OSTI]

    Jeraputra, Chuttchaval

    2006-04-12T23:59:59.000Z

    perspectives, some of the apparent advantages include distribution and transmission capacity relief, load peak shaving, deferral of high cost transmission and distribution (T&D) system upgrades, etc. Utility customers also gain benefits from efficient use... power variation ? P and load real power PLoad (see (1.5)) as, 1 LoadP PV ?? (1.8) From (1.8), the real power variation ? P must be set at least ? 0.20 (per-unit) so that a change in the voltage at inverter (DFPG) terminal is out of the threshold (0...

  1. Utility/Industry Partnerships Involving Distributed Generation Technologies in Evolving Electricity Markets 

    E-Print Network [OSTI]

    Rastler, D. M.

    1997-01-01T23:59:59.000Z

    Wires Manage Wires defer capital Optimize Energy Services Not Utility Business Not Utility Business New Business Opportunities DISTRIBUTED GENERATION Distributed generation includes small gas turbines, micro-turbines, fuel cells, storage... Residential Single Family Multi Family 1-10 kW 15- 50 kW Ultra micro-turbines Stirling Engines Fuel Cells PEMFC SOFC PV BatterylUPS Remote Loads 5 kW - 1,000 kW IC engines Off Grid Diesel Engine Micro turbine Stirling Engines Distribution...

  2. Onsite Backup Generation and Interruption Insurance for Electricity Distribution Author(s): Joseph A. Doucet and Shmuel S. Oren

    E-Print Network [OSTI]

    Oren, Shmuel S.

    Onsite Backup Generation and Interruption Insurance for Electricity Distribution Author(s): Joseph customerownedonsitebackupdecisionswillpre-emptthe utility'splan to mitigatecompensationpaymentsbyprovidingonsitebackup generation access to The Energy Journal. http://www.jstor.org #12;Onsite Backup Generation and Interruption

  3. Key factors affecting voltage oscillations of distribution networks with distributed generation and induction motor loads

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    of distributed energy sources such as, combined heat and power (CHP), wind, solar, and fuel cells, are expected and IT, The University of New South Wales, Canberra, ACT 2600, Australia b Future Grid Research Centre, The University of Melbourne, Parkville, VIC 3010, Australia c Griffith School of Engineering, Griffith University

  4. Fuel Cell Generation in Geo-Distributed Cloud Services: A Quantitative Study

    E-Print Network [OSTI]

    Li, Baochun

    Fuel Cell Generation in Geo-Distributed Cloud Services: A Quantitative Study Zhi Zhou1 Fangming Liu of fuel cell energy in cloud computing, yet it is unclear what and how much benefit it may bring. This paper, for the first time, attempts to quantitatively examine the benefits brought by fuel cell

  5. Published in IET Generation, Transmission & Distribution Received on 8th July 2013

    E-Print Network [OSTI]

    Fu, Yong

    , in a practical power system, the transmission topology can change as a result of maintenance and network network topology in an electric power system. The modelling is accomplished in a coordinatedPublished in IET Generation, Transmission & Distribution Received on 8th July 2013 Revised on 31st

  6. Agent-Based Simulation of Distribution Systems with High Penetration of Photovoltaic Generation

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    of strategic trading in restructured wholesale power markets with congestion managed by locational marginal when coupled with increased price-sensitivity of demand as realized through demand response, demand dispatch, and/or price-sensitive demand bidding. Index Terms--Distributed power generation, multiagent sys

  7. Published in IET Generation, Transmission & Distribution Received on 5th October 2012

    E-Print Network [OSTI]

    Qu, Zhihua

    , and the system reliability is improved. The simulation results verify the effectiveness of the proposed secondary networks reduce the system reliability. More reliable and sparse communication networks can be accommodated of multiple photovoltaic generators in a power distribution system [16]. Networked multi-agent systems have

  8. Operation and Control of Distribution Systems with high level integration of Renewable Generation units

    E-Print Network [OSTI]

    Bak-Jensen, Birgitte

    models Probabilistic methodologies are being applied to power system analysis since 70' [9] becauseOperation and Control of Distribution Systems with high level integration of Renewable Generation. Diagonal 649 Pavelló A, 08028 Barcelona, Spain Summary Traditional power systems have a hierarchical

  9. Abstract--Distributed generation (DG) has brought great attention from the power community, especially

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Católica de Chile)

    generation and DFACTS (distribution network Flexible AC Transmission System). In these researches, especially when it is associated with renewable energy sources, as a sustainable energy alternative. Some DG applications, especially on high penetration levels, may have adverse impact on the transmission

  10. Competitive Bidding Process for Electric Distribution Companies’ Procurement of Default and Back-up Electric Generation Services (Connecticut)

    Broader source: Energy.gov [DOE]

    Electric distribution companies shall utilize a competitive bidding process for electric generation services. The Department of Public Utility Control will be responsible for setting the criteria...

  11. Proposed changes to generating capacity 1980-1989 for the contiguous United States: as projected by the Regional Electric Reliability Councils in their April 1, 1980 long-range coordinated planning reports to the Department of Energy

    SciTech Connect (OSTI)

    None

    1980-12-01T23:59:59.000Z

    The changes in generating capacity projected for 1980 to 1989 are summarized. Tabulated data provide summaries to the information on projected generating unit construction, retirements, and changes, in several different categories and groupings. The new generating units to be completed by the end of 1989 total 699, representing 259,490 megawatts. This total includes 10 wind power and one fuel cell installations totaling 48.5 MW to be completed by the end of 1989. There are 321 units totaling 13,222 MW to be retired. There are capacity changes due to upratings and deratings. Summary data are presented for: total requirement for electric energy generation for 1985; hydroelectric energy production for 1985; nuclear energy production for 1985; geothermal and other energy production for 1985; approximate non-fossil generation for 1985; range of fossil energy requirements for 1985; actual fossil energy sources 1974 to 1979; estimated range of fossil fuel requirements for 1985; coal capacity available in 1985; and computation of fuel use in 1985. Power plant capacity factors are presented. Extensive data on proposed generating capacity changes by individual units in the 9 Regional Electric Reliability Councils are presented.

  12. Abstract--Recently, there is an increasing interest in using distributed generators (DGs) not only to inject power into the

    E-Print Network [OSTI]

    Vasquez, Juan Carlos

    1 1 Abstract--Recently, there is an increasing interest in using distributed generators (DGs, it is well-known that the Distributed Generators (DGs) often consist of a prime mover connected through-frame control method for voltage unbalance compensation in an islanded microgrid is proposed. This method

  13. Soil water and particle size distribution influence laboratory-generated PM10 Nicholaus M. Madden a,*, Randal J. Southard a

    E-Print Network [OSTI]

    Ahmad, Sajjad

    Soil water and particle size distribution influence laboratory-generated PM10 Nicholaus M. Madden a Soil particle size distribution Soil water content a b s t r a c t Management of soils to reduce earlier work of predicting tillage-generated dust emissions based on soil properties. We focus

  14. Ionic Liquids for Utilization of Waste Heat from Distributed Power Generation Systems

    SciTech Connect (OSTI)

    Joan F. Brennecke; Mihir Sen; Edward J. Maginn; Samuel Paolucci; Mark A. Stadtherr; Peter T. Disser; Mike Zdyb

    2009-01-11T23:59:59.000Z

    The objective of this research project was the development of ionic liquids to capture and utilize waste heat from distributed power generation systems. Ionic Liquids (ILs) are organic salts that are liquid at room temperature and they have the potential to make fundamental and far-reaching changes in the way we use energy. In particular, the focus of this project was fundamental research on the potential use of IL/CO2 mixtures in absorption-refrigeration systems. Such systems can provide cooling by utilizing waste heat from various sources, including distributed power generation. The basic objectives of the research were to design and synthesize ILs appropriate for the task, to measure and model thermophysical properties and phase behavior of ILs and IL/CO2 mixtures, and to model the performance of IL/CO2 absorption-refrigeration systems.

  15. Design of a 2.5kW Low Temperature Stirling Engine for Distributed Solar Thermal Generation

    E-Print Network [OSTI]

    Sanders, Seth

    Design of a 2.5kW Low Temperature Stirling Engine for Distributed Solar Thermal Generation Mike He on the design of a Stirling engine for distributed solar thermal ap- plications. In particular, we design for experimentation. Stirling engines can have broad significance and technological advantages for distributed

  16. 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.

    2001-01-01T23:59:59.000Z

    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.

  17. 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.

    2007-06-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    2012-01-01T23:59:59.000Z

    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.

  19. CALIFORNIA'S NEXT GENERATION OF LOAD MANAGEMENT STANDARDS

    E-Print Network [OSTI]

    upon privately owned rights. This report has not been approved or disapproved by the California Energy eliminate the need for new peaking generation capacity and associated transmission and distribution capacity" authority as a way to achieve higher levels of cost-effective DR. The California Energy Action Plan II (EAP

  20. CALIFORNIA'S NEXT GENERATION OF LOAD MANAGEMENT STANDARDS

    E-Print Network [OSTI]

    upon privately owned rights. This report has not been approved or disapproved by the California Energy the need for new peaking generation capacity and associated transmission and distribution capacity's "load management" authority as a way to achieve higher levels of costeffective demand response

  1. 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. [Département de Physique et Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128, Succursale Centre-Ville, Montréal, Québec H3C 3J7 (Canada); Anoop, K. K.; Ausanio, G.; Bruzzese, R.; Amoruso, S., E-mail: amoruso@na.infn.it [Dipartimento di Fisica, Università degli Studi di Napoli Federico II and CNR-SPIN, Complesso Universitario di Monte S. Angelo, Via Cintia, I-80126 Napoli (Italy)

    2014-06-28T23:59:59.000Z

    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.

  2. Distribution Grid Codes: Opportunities and Challenges N. K. Roy, Student Member, IEEE and H. R. Pota, Member, IEEE

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    , voltage regulation, islanding operation. I. INTRODUCTION Distributed Generation (DG) is an approach of distributed generation (DG) units with significant capacity in these passive networks can cause reverse power the reliability of distribution systems. Index Terms-- Distributed generation (DG), grid code, power quality

  3. Decoding the `Nature Encoded' Messages for Distributed Energy Generation Control in Microgrid

    E-Print Network [OSTI]

    Gong, Shuping; Lai, Lifeng; Qiu, Robert C

    2010-01-01T23:59:59.000Z

    The communication for the control of distributed energy generation (DEG) in microgrid is discussed. Due to the requirement of realtime transmission, weak or no explicit channel coding is used for the message of system state. To protect the reliability of the uncoded or weakly encoded messages, the system dynamics are considered as a `nature encoding' similar to convolution code, due to its redundancy in time. For systems with or without explicit channel coding, two decoding procedures based on Kalman filtering and Pearl's Belief Propagation, in a similar manner to Turbo processing in traditional data communication systems, are proposed. Numerical simulations have demonstrated the validity of the schemes, using a linear model of electric generator dynamic system.

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

    SciTech Connect (OSTI)

    Not Available

    2011-09-01T23:59:59.000Z

    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.

  5. 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.

    2006-03-01T23:59:59.000Z

    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.

  6. Electronic copy available at: http://ssrn.com/abstract=2014738 Published: J. M. Pearce, "Expanding Photovoltaic Penetration with Residential Distributed Generation

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Photovoltaic Penetration with Residential Distributed Generation from Hybrid Solar Photovoltaic + Combined Heat.08.012 Expanding Photovoltaic Penetration with Residential Distributed Generation from Hybrid Solar Photovoltaic and power (CHP) systems has provided the opportunity for inhouse power backup of residentialscale

  7. Generating the local oscillator "locally" in continuous-variable quantum key distribution based on coherent detection

    E-Print Network [OSTI]

    Bing Qi; Pavel Lougovski; Raphael Pooser; Warren Grice; Miljko Bobrek

    2015-03-02T23:59:59.000Z

    Continuous-variable quantum key distribution (CV-QKD) protocols based on coherent detection have been studied extensively in both theory and experiment. In all the existing implementations of CV-QKD, both the quantum signal and the local oscillator (LO) are generated from the same laser and propagate through the insecure quantum channel. This arrangement may open security loopholes and also limit the potential applications of CV-QKD. In this paper, we propose and demonstrate a pilot-aided feedforward data recovery scheme which enables reliable coherent detection using a "locally" generated LO. Using two independent commercial laser sources and a spool of 25 km optical fiber, we construct a coherent communication system. The variance of the phase noise introduced by the proposed scheme is measured to be 0.04 (rad^2), which is small enough to enable secure key distribution. This technology also opens the door for other quantum communication protocols, such as the recently proposed measurement-device-independent (MDI) CV-QKD where independent light sources are employed by different users.

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

    SciTech Connect (OSTI)

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

    2010-05-01T23:59:59.000Z

    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.

  9. Abstract--This paper presents the consequences and operating limitations of installing distributed generation (DG) to electric

    E-Print Network [OSTI]

    are required for the selection of interruption devices, protective relays, and their coordination. Systems must Terms--Distributed / dispersed generation, power distri- bution, power system protection, fault in siting conventional generation ­ but, for whatever reason, protection engineers as well as transmission

  10. Evaluating shortfalls in mixed-integer programming approaches for the optimal design and dispatch of distributed generation systems

    E-Print Network [OSTI]

    heat and power Fuel cells Building energy a b s t r a c t The distributed generation (DG) of combined Wisconsin, retrofitted with solid-oxide fuel cells (SOFCs) and a hot water storage tank. The simpler model of renewable or non- renewable sources of power generation (e.g., photovoltaic (PV) cells, fuel cells

  11. Panel on Microgrids Systems International Conference on System of Systems Engineering, April 16-18, 2007 San Antonio Abstract--Application of individual distributed generators can

    E-Print Network [OSTI]

    are included. Keywords: CHP, UPS, distributed generation, intentional islanding, inverters, microgrid, power vs-18, 2007 San Antonio Abstract--Application of individual distributed generators can cause as many problems as it may solve. A better way to realize the emerging potential of distributed generation is to take

  12. Abstract--The aim of this paper is to present a new method for the allocation of new generation capacity, which takes into ac-

    E-Print Network [OSTI]

    Harrison, Gareth

    specifica- tions (e.g., thermal limits on transmission lines and transform- ers). Here, fault level capacity, which takes into ac- count fault level constraints imposed by protection equipment the estimation of fault currents. An iterative process allocates new capacity using Optimal Power Flow mechanisms

  13. The distribution of Voronoi cells generated by Southern California earthquake epicenters

    E-Print Network [OSTI]

    Schoenberg, Frederic P; Barr, Christopher; Jungju Seo

    2007-01-01T23:59:59.000Z

    Continuous Univariate Distributions. 2nd ed. Wiley, Newfor the tapered Pareto distribution. Journal of AppliedWoods, J. (2003) On the distribution of wild?re sizes. Envi-

  14. Distributed Power Allocation in Prosumer Thiagarajan Ramachandran,

    E-Print Network [OSTI]

    Egerstedt, Magnus

    . In the near future, any agent on the power grid will be able to have generation capacity, storage capacity blackout. Each type of power system, such electric utilities, microgrids and buildings need to addressDistributed Power Allocation in Prosumer Networks Thiagarajan Ramachandran, Zak Costello, Peter

  15. Study of the longitudinal distribution of power generated in a random distributed feedback Raman fibre laser with unidirectional pumping

    SciTech Connect (OSTI)

    Churkin, D V; El-Taher, A E; Vatnik, I D; Babin, Sergei A

    2012-09-30T23:59:59.000Z

    The longitudinal distribution of the Stokes-component power in a Raman fibre laser with a random distributed feedback and unidirectional pumping is measured. The fibre parameters (linear loss and Rayleigh backscattering coefficient) are calculated based on the distributions obtained. A numerical model is developed to describe the lasing power distribution. The simulation results are in good agreement with the experimental data. (optical fibres, lasers and amplifiers. properties and applications)

  16. 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. [Tri Alpha Energy, Inc., Rancho Santa Margarita, California 92688 (United States); Bolte, N. [Tri Alpha Energy, Inc., Rancho Santa Margarita, California 92688 (United States); Department of Physics and Astronomy, University of California, Irvine, California 92697 (United States); Marsili, P. [Department of Physics, University of Pisa, Largo B. Pontecorvo 3, 56127 Pisa (Italy); Roche, T. [Department of Physics and Astronomy, University of California, Irvine, California 92697 (United States); Wessel, F. [Department of Physics and Astronomy, University of California, Irvine, California 92697 (United States); Tri Alpha Energy, Inc., Rancho Santa Margarita, California 92688 (United States)

    2010-10-15T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Torrey, David A.

    2006-05-26T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Sengupta, M.; Keller, J.

    2012-06-01T23:59:59.000Z

    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.

  19. Diagnostic probes for particle and molecule distributions in laser-generated plumes

    SciTech Connect (OSTI)

    Kimbrell, S.M.

    1990-10-17T23:59:59.000Z

    Laser microprobe analysis (LMA) offers good spatial and depth resolution for solid sampling of virtually any material. Coupled with numerous optical spectroscopic and mass spectrometric detection methods, LMA is a powerful analytical tool. Yet, fundamental understanding of the interaction between the laser and the sample surface leading to the formation of the high temperature plasma (plume) is far from complete. To better understand the process of plume formation, an imaging method based on acousto-optic laser beam deflection has been coupled with light scattering methods and absorption methods to record temporal and spatial maps of the particle and molecule distributions in the plume with good resolution. Because particles can make up a major fraction of the vaporized material under certain operating conditions, they can reflect a large loss of atomic signal for elemental analysis, even when using auxiliary excitation to further vaporized the particles. Characterization of the particle size distributions in plumes should provide insight into the vaporization process and information necessary for studies of efficient particle transfer. Light scattering methods for particle size analysis based on the Mie Theory are used to determine the size of particles in single laser-generated plumes. The methods used, polarization ratio method and dissymmetry ratio method, provide good estimates of particle size with good spatial and temporal resolution for this highly transient system. Large particles, on the order of 0.02-0.2{mu}m in radius, were observed arising directly from the sample surface and from condensation.

  20. Generation of potential/surface density pairs in flat disks Power law distributions

    E-Print Network [OSTI]

    J. -M. Hure; D. Pelat; A. Pierens

    2007-06-25T23:59:59.000Z

    We report a simple method to generate potential/surface density pairs in flat axially symmetric finite size disks. Potential/surface density pairs consist of a ``homogeneous'' pair (a closed form expression) corresponding to a uniform disk, and a ``residual'' pair. This residual component is converted into an infinite series of integrals over the radial extent of the disk. For a certain class of surface density distributions (like power laws of the radius), this series is fully analytical. The extraction of the homogeneous pair is equivalent to a convergence acceleration technique, in a matematical sense. In the case of power law distributions, the convergence rate of the residual series is shown to be cubic inside the source. As a consequence, very accurate potential values are obtained by low order truncation of the series. At zero order, relative errors on potential values do not exceed a few percent typically, and scale with the order N of truncation as 1/N**3. This method is superior to the classical multipole expansion whose very slow convergence is often critical for most practical applications.

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

    SciTech Connect (OSTI)

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

    2013-12-31T23:59:59.000Z

    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.

  2. Index for the Evaluation of Distributed Generation Impacts on Distribution System Luis F. Ochoa (1,2)

    E-Print Network [OSTI]

    Harrison, Gareth

    decisions that lead to the best management of the system, regarding both technical and economical aspects. Various studies have demonstrated that integration of DG in distribution networks may create technical in voltage control processes, diminish or increase losses, etc. In fact, all our knowledge about distribution

  3. Integrated Simulation Development and Decision Support Tool-Set for Utility Market and Distributed Solar Power Generation

    SciTech Connect (OSTI)

    Daye, Tony [Green Power Labs

    2013-09-30T23:59:59.000Z

    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.

  4. A Multi-State Model for the Reliability Assessment of a Distributed Generation System via Universal Generating Function

    E-Print Network [OSTI]

    Boyer, Edmond

    , Milan, Italy, Dipartimento di Energia Enrico.zio@polimi.it Abstract The current and future developments renewable technology (e.g. wind or solar, etc.) whose behavior is described by a binary state, working assessment, multi-state modeling, universal generating function #12;2 Notations Solar irradiance Total number

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

    SciTech Connect (OSTI)

    Chen, Li-Jin [Idesta Quantum Electronics, LLC

    2014-03-31T23:59:59.000Z

    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.

  6. Retrospective modeling of the merit-order effect on wholesale electricity prices from distributed photovoltaic generation in the

    E-Print Network [OSTI]

    Sandiford, Mike

    Retrospective modeling of the merit-order effect on wholesale electricity prices from distributed, the depression in wholesale prices has significant value. c 5 GW of solar generation would have saved $1.8 billion in the market over two years. c The depression of wholesale prices offsets the cost of support

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

    SciTech Connect (OSTI)

    Robinett, Rush D., III; Kukolich, Keith (Opal RT Technologies, Montreal, Quebec, Canada); Wilson, David Gerald; Schenkman, Benjamin L.

    2010-06-01T23:59:59.000Z

    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.

  8. Proposal for the award of a contract for the supply and maintenance of six 380 V 50 Hz diesel generators for the LEP electrical distribution system

    E-Print Network [OSTI]

    1986-01-01T23:59:59.000Z

    Proposal for the award of a contract for the supply and maintenance of six 380 V 50 Hz diesel generators for the LEP electrical distribution system

  9. SYSTEM WIDE ECONOMIC BENEFITS OF DISTRIBUTED GENERATION IN THE NEW ENGLAND

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    University of Massachusetts 160 Governors Drive, Amherst, MA 01003-9265 Tel (413) 545-0684 · Fax (413) 545 constraints in the Northeast/Boston Massachusetts (NEMA) zone of the ISO-NE region. The study was successful Numbers With Location · Substation Capacities and Installed Loads Without this information, the study

  10. Modeling and Generating Daily Changes in Market Variables Using A Multivariate Mixture of Normal Distributions

    E-Print Network [OSTI]

    Wang, Jin

    Distributions Jin Wang Department of Mathematics and Computer Science Valdosta State University Valdosta, GA 31698-0040 January 28, 2000 Abstract The mixture of normal distributions provides a useful extension of the normal distribution for modeling of daily changes in market variables with fatter-than-normal tails

  11. Rate of convergence of the short cycle distribution in random regular graphs generated by pegging

    E-Print Network [OSTI]

    Wormald, Nick

    of the random network (degree distribution, connectivity, diameter, etc.) vary when p is assigned different values. However, the Erdos-R´enyi model cannot produce scale-free networks [2], whose degree distribution, the stationary distribution is uniform. Thus, for this simplified version of the SWAN network, the limiting

  12. THE GALACTIC SPATIAL DISTRIBUTION OF OB ASSOCIATIONS AND THEIR SURROUNDING SUPERNOVA-GENERATED SUPERBUBBLES

    SciTech Connect (OSTI)

    Higdon, J. C. [W. M. Keck Science Center, Claremont Colleges, Claremont, CA 91711-5916 (United States); Lingenfelter, R. E., E-mail: jhigdon@kecksci.claremont.edu, E-mail: rlingenfelter@ucsd.edu [Center for Astrophysics and Space Sciences, University of California San Diego, La Jolla, CA 92093 (United States)

    2013-10-01T23:59:59.000Z

    The Galactic spatial distribution of OB associations and their surrounding superbubbles (SBs) reflect the distribution of a wide range of important processes in our Galaxy. In particular, it can provide a three-dimensional measure not only of the major source distribution of Galactic cosmic rays, but also the Galactic star formation distribution, the Lyman continuum ionizing radiation distribution, the core-collapse supernova distribution, the neutron star and stellar black hole production distribution, and the principal source distribution of freshly synthesized elements. Thus, we construct a three-dimensional spatial model of the massive-star distribution based primarily on the emission of the H II envelopes that surround the giant SBs and are maintained by the ionizing radiation of the embedded O stars. The Galactic longitudinal distribution of the 205 ?m N II radiation, emitted by these H II envelopes, is used to infer the spatial distribution of SBs. We find that the Galactic SB distribution is dominated by the contribution of massive-star clusters residing in the spiral arms.

  13. Table 11.6 Installed Nameplate Capacity of Fossil-Fuel Steam-Electric Generators With Environmental Equipment, 1985-2010 (Megawatts)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled Nameplate Capacity of

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

    SciTech Connect (OSTI)

    None

    2012-02-11T23:59:59.000Z

    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 timeframes—incentivizing 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.

  15. Kansas Nuclear Profile - Wolf Creek Generating Station

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

    April 2012" "Next Release Date: February 2013" "Wolf Creek Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor...

  16. Washington Nuclear Profile - Columbia Generating Station

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

    Columbia Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

  17. Illinois Nuclear Profile - Dresden Generating Station

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

    Dresden Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

  18. Illinois Nuclear Profile - Byron Generating Station

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

    Byron Generating Station" ,"Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  19. Illinois Nuclear Profile - Braidwood Generation Station

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

    Braidwood Generation Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

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

    SciTech Connect (OSTI)

    Not Available

    1994-03-01T23:59:59.000Z

    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.

  1. Distributed Generation versus Centralised Supply: a Social Cost-Benefit Analysis

    E-Print Network [OSTI]

    Gulli, Francesco

    2004-06-16T23:59:59.000Z

    Generation versus Centralised Supply: a Social Cost-Benefit Analysis Francesco Gullì* Istituto di Economia e Politica dell’Energia e dell’Ambiente (Iefe). Università Bocconi, Milano July 2003 1. Introduction #1; The restructuring and privatisation...

  2. 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. (Energy Systems)

    2012-07-06T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Singh, Ruchi; Vyakaranam, Bharat GNVSR

    2012-02-14T23:59:59.000Z

    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.

  4. A Study of Distributed Generation System Characteristics and Protective Load Control Strategy

    E-Print Network [OSTI]

    Chen, Zhe

    different type of WTs are integrated into a DGS, the DGS presents different properties. Therefore Turbines (WT) have attracted significant attentions. A DGS with renewable sources such as WTs and solar panels is distinct from a conventional power system. The renewable generation units make a DGS

  5. Practical stability assessment of distributed synchronous generators under variations in the system equilibrium conditions

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    synchro- nous generators driven by steam turbines have been connected to the system using a byproduct of Brazil, this sector of the national industry had already considerable experience in the usage of steam turbines, which have been extensively employed within its internal production [1­3]. As a result, several

  6. Subsystem Interaction Analysis in Power Distribution Systems of Next Generation Airlifters

    E-Print Network [OSTI]

    Lindner, Douglas K.

    . Quan Keenan of Lockheed Martin Control Systems, Johnson City, New York, in providing the models control actuator systems. The aircraft power distribution system plays a central role in the development tolerant, autonomously controlled electrical power system to deliver high quality power from the sources

  7. Impact of Renewable Distributed Generation on Power Systems M. Begovi, A. Pregelj, A. Rohatgi D. Novosel

    E-Print Network [OSTI]

    , improve the voltage profile across the feeder, may reduce the loading level of branches and substation the effect of DG penetration on the actual load demand and voltage profile of the distribution feeder. However, DG systems inherently provide some benefits to the utility. They may level the load curve

  8. Unnatural landscapes in ecology: Generating the spatial distribution of brine spills

    SciTech Connect (OSTI)

    Jager, Yetta [ORNL; Efroymson, Rebecca Ann [ORNL; Sublette, K. [University of Tulsa; Ashwood, Tom L [ORNL

    2005-01-01T23:59:59.000Z

    Quantitative tools are needed to evaluate the ecological effects of increasing petroleum production. In this article, we describe two stochastic models for simulating the spatial distribution of brine spills on a landscape. One model uses general assumptions about the spatial arrangement of spills and their sizes; the second model distributes spills by siting rectangular well complexes and conditioning spill probabilities on the configuration of pipes. We present maps of landscapes with spills produced by the two methods and compare the ability of the models to reproduce a specified spill area. A strength of the models presented here is their ability to extrapolate from the existing landscape to simulate landscapes with a higher (or lower) density of oil wells.

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

    SciTech Connect (OSTI)

    Schauder, C.

    2014-03-01T23:59:59.000Z

    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.

  10. Developing and Implementing the Foundation for a Renewable Energy-Based "Distribution Generation Micro-grid": A California Energy Commission Public Interest Energy Research Co-Funded Program 

    E-Print Network [OSTI]

    Lilly, P.; Sebold, F. D.; Carpenter, M.; Kitto, W.

    2002-01-01T23:59:59.000Z

    The California Energy Commission has been implementing its Public Interest Energy Research (PIER) and Renewable Energy Programs since early 1998. In the last two years, the demand for renewable distributed generation systems has increased rapidly...

  11. Abstract-Distributed energy resources (DER) are quickly making their way to industry primarily as backup generation.

    E-Print Network [OSTI]

    Tolbert, Leon M.

    generation includes microturbine generators, internal combustion engines (ICEs), and fuel cells. Frequently

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

    SciTech Connect (OSTI)

    Mitrofanov, K. N., E-mail: mitrofan@triniti.ru [Troitsk Institute for Innovaiton and Fusion Research (Russian Federation); Krauz, V. I., E-mail: krauz_vi@nrcki.ru; Myalton, V. V.; Velikhov, E. P.; Vinogradov, V. P.; Vinogradova, Yu. V. [National Research Centre Kurchatov Institute (Russian Federation)

    2014-11-15T23:59:59.000Z

    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.

  13. Distributed storage with communication costs

    E-Print Network [OSTI]

    Armstrong, Craig Kenneth

    2011-01-01T23:59:59.000Z

    5 Introduction to Coding for Distributed Storage The Repairflow graph for 1 repair with varying storage capac- itythe Capacity of Storage Nodes . . . 4.1 Characterizing

  14. Optimal Capacity Conversion for Product Transitions Under High Service Requirements

    E-Print Network [OSTI]

    Li, Hongmin

    We consider the capacity planning problem during a product transition in which demand for a new-generation product gradually replaces that for the old product. Capacity for the new product can be acquired both by purchasing ...

  15. Message passing for integrating and assessing renewable generation in a redundant power grid

    SciTech Connect (OSTI)

    Zdeborova, Lenka [Los Alamos National Laboratory; Backhaus, Scott [Los Alamos National Laboratory; Chertkov, Michael [Los Alamos National Laboratory

    2009-01-01T23:59:59.000Z

    A simplified model of a redundant power grid is used to study integration of fluctuating renewable generation. The grid consists of large number of generator and consumer nodes. The net power consumption is determined by the difference between the gross consumption and the level of renewable generation. The gross consumption is drawn from a narrow distribution representing the predictability of aggregated loads, and we consider two different distributions representing wind and solar resources. Each generator is connected to D consumers, and redundancy is built in by connecting R {le} D of these consumers to other generators. The lines are switchable so that at any instance each consumer is connected to a single generator. We explore the capacity of the renewable generation by determining the level of 'firm' generation capacity that can be displaced for different levels of redundancy R. We also develop message-passing control algorithm for finding switch sellings where no generator is overloaded.

  16. 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

    2005-07-12T23:59:59.000Z

    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.

  17. DISTRIBUTION COEFICIENTS (KD) GENERATED FROM A CORE SAMPLE COLLECTED FROM THE SALTSTONE DISPOSAL FACILITY

    SciTech Connect (OSTI)

    Almond, P.; Kaplan, D.

    2011-04-25T23:59:59.000Z

    Core samples originating from Vault 4, Cell E of the Saltstone Disposal Facility (SDF) were collected in September of 2008 (Hansen and Crawford 2009, Smith 2008) and sent to SRNL to measure chemical and physical properties of the material including visual uniformity, mineralogy, microstructure, density, porosity, distribution coefficients (K{sub d}), and chemical composition. Some data from these experiments have been reported (Cozzi and Duncan 2010). In this study, leaching experiments were conducted with a single core sample under conditions that are representative of saltstone performance. In separate experiments, reducing and oxidizing environments were targeted to obtain solubility and Kd values from the measurable species identified in the solid and aqueous leachate. This study was designed to provide insight into how readily species immobilized in saltstone will leach from the saltstone under oxidizing conditions simulating the edge of a saltstone monolith and under reducing conditions, targeting conditions within the saltstone monolith. Core samples were taken from saltstone poured in December of 2007 giving a cure time of nine months in the cell and a total of thirty months before leaching experiments began in June 2010. The saltstone from Vault 4, Cell E is comprised of blast furnace slag, class F fly ash, portland cement, and Deliquification, Dissolution, and Adjustment (DDA) Batch 2 salt solution. The salt solution was previously analyzed from a sample of Tank 50 salt solution and characterized in the 4QCY07 Waste Acceptance Criteria (WAC) report (Zeigler and Bibler 2009). Subsequent to Tank 50 analysis, additional solution was added to the tank solution from the Effluent Treatment Project as well as from inleakage from Tank 50 pump bearings (Cozzi and Duncan 2010). Core samples were taken from three locations and at three depths at each location using a two-inch diameter concrete coring bit (1-1, 1-2, 1-3; 2-1, 2-2, 2-3; 3-1, 3-2, 3-3) (Hansen and Crawford 2009). Leaching experiments were conducted with a section of core sample 3-2. All cores from location 3 were drilled without using water. Core sample 3-2 was drilled from approximately six inches to a depth of approximately 13 inches. Approximately six inches of the core was removed but it broke into two pieces during removal from the bit. At the time of drilling, core material appeared olive green in color (Smith 2008). The fact that the samples were cored as olive green and were received after storage with a gray outer layer is indicative that some oxidation had occurred prior to leaching studies.

  18. New Jersey Nuclear Profile - PSEG Salem Generating Station

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

    PSEG Salem Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

  19. California Nuclear Profile - San Onofre Nuclear Generating Station

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

    San Onofre Nuclear Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

  20. New Jersey Nuclear Profile - PSEG Hope Creek Generating Station

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

    PSEG Hope Creek Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

  1. Illinois Nuclear Profile - LaSalle Generating Station

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

    LaSalle Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

  2. Mass Market Demand Response and Variable Generation Integration Issues: A Scoping Study

    E-Print Network [OSTI]

    Cappers, Peter

    2012-01-01T23:59:59.000Z

    diverse set of flexible traditional generation resourcessufficient flexible demand or generation capacity exists tosufficient flexible demand or generation capacity exists to

  3. INVESTING IN NEW BASE LOAD GENERATING CAPACITY

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarketsNov-14 Dec-14Has Hydrocarbon, a 1

  4. Property:GeneratingCapacity | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal PwerPerkins County, Nebraska:PrecourtOid Jump to:Docket Number Jump to:GenDelToGrid Jump

  5. Open versus closed loop capacity equilibria in electricity markets ...

    E-Print Network [OSTI]

    S. Wogrin

    2012-05-07T23:59:59.000Z

    May 7, 2012 ... Abstract: We consider two game-theoretic models of the generation capacity expansion problem in liberalized electricity markets. The first is an ...

  6. Distributed Generation Standard Contracts

    Broader source: Energy.gov [DOE]

    '''''Note: The second enrollment period for standard contracts in 2013 closed June 28. The third is scheduled to begin in September.'''''

  7. Representation of the Solar Capacity Value in the ReEDS Capacity Expansion Model: Preprint

    SciTech Connect (OSTI)

    Sigrin, B.; Sullivan, P.; Ibanez, E.; Margolis, R.

    2014-08-01T23:59:59.000Z

    An important emerging issue is the estimation of renewables' contributions to reliably meeting system demand, or their capacity value. While the capacity value of thermal generation can be estimated easily, assessment of wind and solar requires a more nuanced approach due to resource variability. Reliability-based methods, particularly, effective load-carrying capacity (ELCC), are considered to be the most robust techniques for addressing this resource variability. The Regional Energy Deployment System (ReEDS) capacity expansion model and other long-term electricity capacity planning models require an approach to estimating CV for generalized PV and system configurations with low computational and data requirements. In this paper we validate treatment of solar photovoltaic (PV) capacity value by ReEDS capacity expansion model by comparing model results to literature for a range of energy penetration levels. Results from the ReEDS model are found to compare well with both comparisons--despite not being resolved at an hourly scale.

  8. TOWARDS REACHING CONSENSUS IN THE DETERMINATION OF PHOTOVOLTAICS CAPACITY CREDIT

    E-Print Network [OSTI]

    Perez, Richard R.

    , 251 Fuller Rd Albany, NY, 12203 Perez@asrc.cestm.albany,edu Mike Taylor Solar Electric Power effort to reach consensus on the notion of capacity credit for solar power electrical generation capacity or capacity credit of a power plant quantifies the output of a power plant that effectively

  9. STORAGE CAPACITY ALLOCATION ALGORITHMS FOR HIERARCHICAL

    E-Print Network [OSTI]

    Stavrakakis, Ioannis

    STORAGE CAPACITY ALLOCATION ALGORITHMS FOR HIERARCHICAL CONTENT DISTRIBUTION Nikolaos Laoutaris of Athens, 15784 Athens, Greece {laoutaris,vassilis,istavrak}@di.uoa.gr Abstract The addition of storage storage budget to the nodes of a hierarchical con- tent distribution system is formulated; optimal

  10. Comparison of two types of 60 GHz photonic millimeter-wave generation and distribution of a 3 Gb/s OFDM signal

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    converts the optical signal into an electrical one. After, the signal is sent into a low noise amplifier a new generation of optoelec- tronic components designed for 60 GHz applications. I. RADIO OVER FIBRE and distribution of a 3 Gb/s OFDM signal. The first one uses low cost well known components and the second one

  11. Overview of M-C Power`s MCFC power generation system

    SciTech Connect (OSTI)

    Benjamin, T.G.; Woods, R.R.

    1993-11-01T23:59:59.000Z

    The IMHEX{reg_sign} fuel cell power generation system is a skid mounted power plant which efficiently generates electricity and useful thermal energy. The primary benefits are its high electric generation efficiency (50% or greater), modular capacities (500 kW to 3 MW per unit) and minimal environmental impacts (less than 1 ppM NO{sub x}). A cost effective, modular capacity fuel cell power plant provides the industry with an attractive alternative to large central station facilities, and its advantages have the potential to optimize the way electric power is generated and distributed to the users. Environmental issues are becoming the single most uncertain aspect of the power business. These issues may be manifested in air emissions permits or allowances for NO{sub x} or SO{sub 2}, energy taxes, CO{sub 2} limits, ``carbon taxes,`` etc. and may appear as siting permits for generation, transmission, or distribution facilities. Utilities are ``down-sizing`` with the goal of becoming the lowest cost supplier of electricity and are beginning to examine the concepts of ``energy service`` to improve their economic competitiveness. These issues are leading utilities to examine the benefits of distributed generation. Siting small capacity generation near the customer loads or at distribution substations can improve system efficiency and quality while reducing distribution system costs. The advantages that fuel cell power plants have over conventional technologies are critical to the success of these evolving opportunities in the power generation marketplace.

  12. Abstract--Application of individual distributed generators can cause as many problems as it may solve. A better way to

    E-Print Network [OSTI]

    , microturbines, photovoltaic, fuel cells and wind- power. Most emerging technologies such as micro-turbines, photovoltaic, fuel cells and gas internal combustion engines with permanent magnet generator require generation technologies permits generators to be placed optimally in relation to heat loads allowing for use

  13. The Role of Distribution Network Operators in Promoting Cost-Effective Distributed Generation: Lessons from the United States of America for Europe

    E-Print Network [OSTI]

    Anaya, Karim L.; Pollitt, Michael G.

    2015-06-19T23:59:59.000Z

    Energy Commission [10] shows this rate is around 30% regarding the long term RPS contracts (10 years or more), since the start of the RPS program. This rate increases to 40% if delayed contracts are considered8. 2.2 Auctions Similar to RFP... 101 MWa (average dispatch capacity over year) of viable renewable energy resources including, but not limited to biomass, wind, geothermal and solar, which must meet the requirements of Oregon’s RPS. Two kinds of products were defined: (1) firm...

  14. Capacity Markets for Electricity

    E-Print Network [OSTI]

    Creti, Anna; Fabra, Natalia

    2004-01-01T23:59:59.000Z

    Designing Markets for Electricity. Wiley IEEE Press. [25]in the England and Wales Electricity Market”, Power WorkingFelder (1996), “Should Electricity Markets Have a Capacity

  15. ORISE: Capacity Building

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

    Capacity Building Because public health agencies must maintain the resources to respond to public health challenges, critical situations and emergencies, the Oak Ridge Institute...

  16. Distributed Energy Resources for Carbon Emissions Mitigation

    E-Print Network [OSTI]

    Firestone, Ryan; Marnay, Chris

    2008-01-01T23:59:59.000Z

    combined heat and power (CHP), thermally- activated cooling,electricity and heat from CHP. The economics of storage is1. installed capacity of CHP generators installed capacity (

  17. Table 16. Renewable energy generating capacity and generation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 177

  18. Liquid heat capacity lasers

    DOE Patents [OSTI]

    Comaskey, Brian J. (Walnut Creek, CA); Scheibner, Karl F. (Tracy, CA); Ault, Earl R. (Livermore, CA)

    2007-05-01T23:59:59.000Z

    The heat capacity laser concept is extended to systems in which the heat capacity lasing media is a liquid. The laser active liquid is circulated from a reservoir (where the bulk of the media and hence waste heat resides) through a channel so configured for both optical pumping of the media for gain and for light amplification from the resulting gain.

  19. Knudsen heat capacity

    SciTech Connect (OSTI)

    Babac, Gulru, E-mail: babac@itu.edu.tr [Institute of Energy, Istanbul Technical University, Istanbul 34469 (Turkey)] [Institute of Energy, Istanbul Technical University, Istanbul 34469 (Turkey); Reese, Jason M. [School of Engineering, University of Edinburgh, Edinburgh EH9 3JL (United Kingdom)] [School of Engineering, University of Edinburgh, Edinburgh EH9 3JL (United Kingdom)

    2014-05-15T23:59:59.000Z

    We present a “Knudsen heat capacity” as a more appropriate and useful fluid property in micro/nanoscale gas systems than the constant pressure heat capacity. At these scales, different fluid processes come to the fore that are not normally observed at the macroscale. For thermodynamic analyses that include these Knudsen processes, using the Knudsen heat capacity can be more effective and physical. We calculate this heat capacity theoretically for non-ideal monatomic and diatomic gases, in particular, helium, nitrogen, and hydrogen. The quantum modification for para and ortho hydrogen is also considered. We numerically model the Knudsen heat capacity using molecular dynamics simulations for the considered gases, and compare these results with the theoretical ones.

  20. Distributed Energy Resources for Carbon Emissions Mitigation

    E-Print Network [OSTI]

    Firestone, Ryan; Marnay, Chris

    2008-01-01T23:59:59.000Z

    Figure 3 plot the installed capacity of fossil-fuel firedinvest emissions. installed capacity (kW) Atlanta lodging,US$ (EURO)/t) Figure 1. installed capacity of CHP generators

  1. Refinery Capacity Report

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

    by State as of January 1, 2006 PDF 5 Refiners' Operable Atmospheric Crude Oil Distillation Capacity as of January 1, 2006 PDF 6 Operable Crude Oil and Downstream Charge...

  2. Refinery Capacity Report

    Gasoline and Diesel Fuel Update (EIA)

    Capacity Report June 2014 With Data as of January 1, 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by...

  3. Space-based solar power generation using a distributed network of satellites and methods for efficient space power transmission

    E-Print Network [OSTI]

    McLinko, Ryan M.

    Space-based solar power (SSP) generation is being touted as a solution to our ever-increasing energy consumption and dependence on fossil fuels. Satellites in Earth's orbit can capture solar energy through photovoltaic ...

  4. In situ diagnostic of the size distribution of nanoparticles generated by ultrashort pulsed laser ablation in vacuum

    SciTech Connect (OSTI)

    Bourquard, Florent; Loir, Anne-Sophie; Donnet, Christophe; Garrelie, Florence, E-mail: florence.garrelie@univ-st-etienne.fr [Université de Lyon, CNRS UMR 5516, Laboratoire Hubert Curien, Université Jean Monnet, Saint-Étienne (France)] [Université de Lyon, CNRS UMR 5516, Laboratoire Hubert Curien, Université Jean Monnet, Saint-Étienne (France)

    2014-03-10T23:59:59.000Z

    We aim to characterize the size distribution of nanoparticles located in the ablation plume produced by femtosecond laser interaction. The proposed method relies on the use of white-light extinction spectroscopy setup assisted by ultrafast intensified temporal gating. This method allows measurement of optical absorbance of a nickel nanoparticles cloud. Simulation of the extinction section of nickel nanoparticles size distributions has been developed in order to compare the measured optical absorbance to the optical extinction by theoretical and experimental nanoparticles size distributions (measured by scanning electron microscopy). A good agreement has been found between the in situ measured optical absorbance and the optical extinction cross section calculated from ex situ nanoparticles size distribution measurements.

  5. Forward capacity market CONEfusion

    SciTech Connect (OSTI)

    Wilson, James F.

    2010-11-15T23:59:59.000Z

    In ISO New England and PJM it was assumed that sponsors of new capacity projects would offer them into the newly established forward centralized capacity markets at prices based on their levelized net cost of new entry, or ''Net CONE.'' But the FCCMs have not operated in the way their proponents had expected. To clear up the CONEfusion, FCCM designs should be reconsidered to adapt them to the changing circumstances and to be grounded in realistic expectations of market conduct. (author)

  6. If current capacity were to be expanded so that all of the non-recycled municipal solid waste that is currently sent to U.S. landfills each year could instead be converted to energy, we could generate enough electricity

    E-Print Network [OSTI]

    If current capacity were to be expanded so that all of the non-recycled municipal solid waste at Columbia University assessed the energy value of municipal solid waste that is currently sent to U so that we could convert our non-recycled waste to alternative energy instead of landfilling it, we

  7. Impact of dispersed solar and wind systems on electric distribution planning and operation

    SciTech Connect (OSTI)

    Boardman, R.W.; Patton, R.; Curtice, D.H.

    1981-02-01T23:59:59.000Z

    Small-scale dispersed solar photovoltaic and wind generation (DSW) will affect the generation, transmission, and distribution systems of an electric utility. This study examines the technical and economic impacts of dispersing DSW devices within the distribution system. Dispersed intermittent generation is included. Effects of DSW devices on capital investments, reliability, operating and maintenance costs, protection requirements, and communication and control requirements are examined. A DSW operation model is developed to help determine the dependable capacity of fluctuating solar photovoltaic and wind generation as part of the distribution planning process. Specific case studies using distribution system data and renewable resource data for Southern California Edison Company and Consumers Power Company are analyzed to gain insights into the effects of interconnecting DSW devices. The DSW devices were found to offer some distribution investment savings, depending on their availability during peak loads. For a summer-peaking utility, for example, dispersing photovoltaic systems is more likely to defer distribution capital investments than dispersing wind systems. Dispersing storage devices to increase DSW's dependable capacity for distribution systems needs is not economically attractive. Substation placement of DSW and storage devices is found to be more cost effective than feeder or customer placement. Examination of the effects of DSW on distribution system operation showed that small customer-owned DSW devices are not likely to disrupt present time-current distribution protection coordination. Present maintenance work procedures, are adequate to ensure workmen's safety. Regulating voltages within appropriate limits will become more complex with intermittent generation along the distribution feeders.

  8. 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.

    2009-12-01T23:59:59.000Z

    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.

  9. Representation of Solar Capacity Value in the ReEDS Capacity Expansion Model

    SciTech Connect (OSTI)

    Sigrin, B.; Sullivan, P.; Ibanez, E.; Margolis, R.

    2014-03-01T23:59:59.000Z

    An important issue for electricity system operators is the estimation of renewables' capacity contributions to reliably meeting system demand, or their capacity value. While the capacity value of thermal generation can be estimated easily, assessment of wind and solar requires a more nuanced approach due to the resource variability. Reliability-based methods, particularly assessment of the Effective Load-Carrying Capacity, are considered to be the most robust and widely-accepted techniques for addressing this resource variability. This report compares estimates of solar PV capacity value by the Regional Energy Deployment System (ReEDS) capacity expansion model against two sources. The first comparison is against values published by utilities or other entities for known electrical systems at existing solar penetration levels. The second comparison is against a time-series ELCC simulation tool for high renewable penetration scenarios in the Western Interconnection. Results from the ReEDS model are found to compare well with both comparisons, despite being resolved at a super-hourly temporal resolution. Two results are relevant for other capacity-based models that use a super-hourly resolution to model solar capacity value. First, solar capacity value should not be parameterized as a static value, but must decay with increasing penetration. This is because -- for an afternoon-peaking system -- as solar penetration increases, the system's peak net load shifts to later in the day -- when solar output is lower. Second, long-term planning models should determine system adequacy requirements in each time period in order to approximate LOLP calculations. Within the ReEDS model we resolve these issues by using a capacity value estimate that varies by time-slice. Within each time period the net load and shadow price on ReEDS's planning reserve constraint signals the relative importance of additional firm capacity.

  10. Dual capacity reciprocating compressor

    DOE Patents [OSTI]

    Wolfe, R.W.

    1984-10-30T23:59:59.000Z

    A multi-cylinder compressor particularly useful in connection with northern climate heat pumps and in which different capacities are available in accordance with reversing motor rotation is provided with an eccentric cam on a crank pin under a fraction of the connecting rods, and arranged for rotation upon the crank pin between opposite positions 180[degree] apart so that with cam rotation on the crank pin such that the crank throw is at its normal maximum value all pistons pump at full capacity, and with rotation of the crank shaft in the opposite direction the cam moves to a circumferential position on the crank pin such that the overall crank throw is zero. Pistons whose connecting rods ride on a crank pin without a cam pump their normal rate with either crank rotational direction. Thus a small clearance volume is provided for any piston that moves when in either capacity mode of operation. 6 figs.

  11. Dual capacity reciprocating compressor

    DOE Patents [OSTI]

    Wolfe, Robert W. (Wilkinsburg, PA)

    1984-01-01T23:59:59.000Z

    A multi-cylinder compressor 10 particularly useful in connection with northern climate heat pumps and in which different capacities are available in accordance with reversing motor 16 rotation is provided with an eccentric cam 38 on a crank pin 34 under a fraction of the connecting rods, and arranged for rotation upon the crank pin between opposite positions 180.degree. apart so that with cam rotation on the crank pin such that the crank throw is at its normal maximum value all pistons pump at full capacity, and with rotation of the crank shaft in the opposite direction the cam moves to a circumferential position on the crank pin such that the overall crank throw is zero. Pistons 24 whose connecting rods 30 ride on a crank pin 36 without a cam pump their normal rate with either crank rotational direction. Thus a small clearance volume is provided for any piston that moves when in either capacity mode of operation.

  12. Quantum Channel Capacities

    E-Print Network [OSTI]

    Graeme Smith

    2010-07-16T23:59:59.000Z

    A quantum communication channel can be put to many uses: it can transmit classical information, private classical information, or quantum information. It can be used alone, with shared entanglement, or together with other channels. For each of these settings there is a capacity that quantifies a channel's potential for communication. In this short review, I summarize what is known about the various capacities of a quantum channel, including a discussion of the relevant additivity questions. I also give some indication of potentially interesting directions for future research.

  13. Evaluation on double-wall-tube residual stress distribution of sodium-heated steam generator by neutron diffraction and numerical analysis

    SciTech Connect (OSTI)

    Kisohara, N. [Advanced Nuclear System Research and Development Directorate, Japan Atomic Energy Agency (Japan); Suzuki, H.; Akita, K. [Quantum Beam Science Directorate, Japan Atomic Energy Agency (Japan); Kasahara, N. [Dept. of Nuclear Engineering and Management, Univ. of Tokyo (Japan)

    2012-07-01T23:59:59.000Z

    A double-wall-tube is nominated for the steam generator heat transfer tube of future sodium fast reactors (SFRs) in Japan, to decrease the possibility of sodium/water reaction. The double-wall-tube consists of an inner tube and an outer tube, and they are mechanically contacted to keep the heat transfer of the interface between the inner and outer tubes by their residual stress. During long term SG operation, the contact stress at the interface gradually falls down due to stress relaxation. This phenomenon might increase the thermal resistance of the interface and degrade the tube heat transfer performance. The contact stress relaxation can be predicted by numerical analysis, and the analysis requires the data of the initial residual stress distributions in the tubes. However, unclear initial residual stress distributions prevent precious relaxation evaluation. In order to resolve this issue, a neutron diffraction method was employed to reveal the tri-axial (radius, hoop and longitudinal) initial residual stress distributions in the double-wall-tube. Strain gauges also were used to evaluate the contact stress. The measurement results were analyzed using a JAEA's structural computer code to determine the initial residual stress distributions. Based on the stress distributions, the structural computer code has predicted the transition of the relaxation and the decrease of the contact stress. The radial and longitudinal temperature distributions in the tubes were input to the structural analysis model. Since the radial thermal expansion difference between the inner (colder) and outer (hotter) tube reduces the contact stress and the tube inside steam pressure contributes to increasing it, the analytical model also took these effects into consideration. It has been conduced that the inner and outer tubes are contacted with sufficient stresses during the plant life time, and that effective heat transfer degradation dose not occur in the double-wall-tube SG. (authors)

  14. 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.

    2013-06-01T23:59:59.000Z

    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.

  15. Sixth Northwest Conservation and Electric Power Plan Chapter 12: Capacity and Flexibility Resources

    E-Print Network [OSTI]

    ............................................................................................ 6 Flexibility Issues Raised By Wind Generation system capacity and flexibility a new priority. Wind generation needs back-up, flexible resources new wind generation with a more constrained hydrosystem, there are solutions. The first step

  16. Prediction methods for capacity of drag anchors in clayey soils

    E-Print Network [OSTI]

    Yoon, Yeo Hoon

    2002-01-01T23:59:59.000Z

    A drag anchor is a marine foundation element, which is penetrated into the seabed by dragging in order to generate a required capacity. The holding capacity of a drag anchor in a particular soil condition is developed by soil resistance acting...

  17. Figure 4: Case study network Maximising Renewable Capacity

    E-Print Network [OSTI]

    Harrison, Gareth

    . A variety of techniques have been used for distribution system optimisations. Here, Optimal Power Flow (OPF at several combinations of locations (DG at 0.9 lagging power factor). 3.5 MW of capacity is foundW is allocated at A. Without network reinforcement connection of the full 3.5 MW of mini-hydro capacity

  18. Capacity Requirements to Support Inter-Balancing Area Wind Delivery

    SciTech Connect (OSTI)

    Kirby, B.; Milligan, M.

    2009-07-01T23:59:59.000Z

    Paper examines the capacity requirements that arise as wind generation is integrated into the power system and how those requirements change depending on where the wind energy is delivered.

  19. Why Are We Talking About Capacity Markets? (Presentation)

    SciTech Connect (OSTI)

    Milligan, M.

    2011-06-01T23:59:59.000Z

    Capacity markets represent a new and novel way to achieve greater economic use of variable generation assets such as wind and solar, and this concept is discussed in this presentation.

  20. Power spectrum estimates of high frequency noise generated by high impedance arcing faults on distribution systems / by Thomas James Talley

    E-Print Network [OSTI]

    Talley, Thomas James

    1979-01-01T23:59:59.000Z

    faults, and to search for possible solutions, Pennsylvania Power and Light Company (PP&L) gathered data on instances of downed conductors. [ 4 ] In a breakdown of 390 cases of downed conductors on 12 KV overhead distribution lines in 1974...-75, they found that over- current protective devices did not operate for 23%%d of the cases where the feeder had bare wire conductors, and 727. of the cases where the feeder had XLP covered conductors. These figures indicate the severity of the problem...

  1. Analysis of Voltage Rise Effect on Distribution Network with Distributed

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    Analysis of Voltage Rise Effect on Distribution Network with Distributed Generation M. A. Mahmud.hossain@adfa.edu.au, and H.Pota@adfa.edu.au). Abstract: Connections of distributed generation (DG) in distribution networks are increasing. These connections of distributed generation cause voltage rise in the distribution network

  2. GENERATION OF ELECTRIC Hesham E. Shaalan

    E-Print Network [OSTI]

    Powell, Warren B.

    exhaust gases are delivered to a heat-recovery steam generator to produce steam that is used to drive.1 Optimum Electric-Power Generating Unit . . . . . . . . . . . . . . . . . . . . . . 8.7 Annual Capacity.21 Hydropower Generating Stations . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.23 Largest Units

  3. Technical Potential for Local Distributed

    E-Print Network [OSTI]

    the impact of high penetrations of solar PV on wholesale power markets (energy and capacity), since large amounts of distributed solar PV could decrease wholesale power prices

  4. 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.

    2014-09-01T23:59:59.000Z

    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.

  5. Refinery Capacity Report

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21Capacity Report

  6. Refinery Capacity Report

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21Capacity Report5

  7. Refinery Capacity Report

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21Capacity

  8. Refinery Capacity Report

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21Capacity Operable

  9. Refinery Capacity Report

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21Capacity

  10. Refinery Capacity Report

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source:Additions to Capacity onThousand(Dollars2009Rail

  11. Refinery Capacity Report Historical

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source:Additions to Capacity onThousand(Dollars2009Rail

  12. ORISE: Capacity Building

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparencyDOE Project *1980-1981 U.S.CapabilitiesCapacity Building

  13. Compensating Customer-Generators: A taxonomy describing methods of compensating

    E-Print Network [OSTI]

    Hughes, Larry

    , investment in grid-connected generation capacity is growing at a faster rate than off-grid applications (IEA

  14. World nuclear capacity and fuel cycle requirements, November 1993

    SciTech Connect (OSTI)

    Not Available

    1993-11-30T23:59:59.000Z

    This analysis report presents the current status and projections of nuclear capacity, generation, and fuel cycle requirements for all countries in the world using nuclear power to generate electricity for commercial use. Long-term projections of US nuclear capacity, generation, fuel cycle requirements, and spent fuel discharges for three different scenarios through 2030 are provided in support of the Department of Energy`s activities pertaining to the Nuclear Waste Policy Act of 1982 (as amended in 1987). The projections of uranium requirements also support the Energy Information Administration`s annual report, Domestic Uranium Mining and Milling Industry: Viability Assessment.

  15. Draft Fourth Northwest Conservation and Electric Power Plan, Appendix A PACIFIC NORTHWEST GENERATING RESOURCES

    E-Print Network [OSTI]

    and generating capacity of power plants located in the Northwest is shown in Figure A-1 Capacity and primary NORTHWEST GENERATING RESOURCES This Appendix describes the electric power generating resources describing individual projects. GENERATING CAPACITY Over 460 electricity generating projects are located

  16. Capacity Markets 1 Introduction

    E-Print Network [OSTI]

    McCalley, James D.

    is the ability of the electric system to supply the aggregate electric power and energy requirements. There may be situations where the total generation is in fact sufficient, but the transmission between/or load control during peak periods), and/or storage. Maintaining adequacy has always been a primary

  17. 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

    2004-10-15T23:59:59.000Z

    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 use

  18. Scalable Distributed Automation System: Scalable Real-time Decentralized Volt/VAR Control

    SciTech Connect (OSTI)

    None

    2012-03-01T23:59:59.000Z

    GENI Project: Caltech is developing a distributed automation system that allows distributed generators—solar panels, wind farms, thermal co-generation systems—to effectively manage their own power. To date, the main stumbling block for distributed automation systems has been the inability to develop software that can handle more than 100,000 distributed generators and be implemented in real time. Caltech’s software could allow millions of generators to self-manage through local sensing, computation, and communication. Taken together, localized algorithms can support certain global objectives, such as maintaining the balance of energy supply and demand, regulating voltage and frequency, and minimizing cost. An automated, grid-wide power control system would ease the integration of renewable energy sources like solar power into the grid by quickly transmitting power when it is created, eliminating the energy loss associated with the lack of renewable energy storage capacity of the grid.

  19. EIA - Distributed Generation in Buildings

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2YonthlyEnergy Markets 9,Analysis

  20. ransmission, rather than generation, is

    E-Print Network [OSTI]

    to expand transmission capacity adequately: Over 40 years, the amount of electricity generated in the United's power plants to its customers. It was never designed for getting power from any generator to anyT ransmission, rather than generation, is generally the con- straint preventing cus- tomers from

  1. Enhancing Capacity for Low Emission Development Strategies (EC...

    Open Energy Info (EERE)

    is presented, highlighting work being carried out under the US-India Energy Dialogue. The case studies illustrate distributed generation on large and small scales, infrastructure...

  2. Utility Solar Generation Valuation Methods

    SciTech Connect (OSTI)

    Hansen, Thomas N.; Dion, Phillip J.

    2009-06-30T23:59:59.000Z

    Tucson Electric Power (TEP) developed, tested and verified the results of a new and appropriate method for accurately evaluating the capacity credit of time variant solar generating sources and reviewed new methods to appropriately and fairly evaluate the value of solar generation to electric utilities. The project also reviewed general integrated approaches for adequately compensating owners of solar generation for their benefits to utilities. However, given the limited funding support and time duration of this project combined with the significant differences between utilities regarding rate structures, solar resource availability and coincidence of solar generation with peak load periods, it is well beyond the scope of this project to develop specific rate, rebate, and interconnection approaches to capture utility benefits for all possible utilities. The project developed computer software based evaluation method models to compare solar generation production data measured in very short term time increments called Sample Intervals over a typical utility Dispatch Cycle during an Evaluation Period against utility system load data. Ten second resolution generation production data from the SGSSS and actual one minute resolution TEP system load data for 2006 and 2007, along with data from the Pennington Street Garage 60 kW DC capacity solar unit installed in downtown Tucson will be applied to the model for testing and verification of the evaluation method. Data was provided by other utilities, but critical time periods of data were missing making results derived from that data inaccurate. The algorithms are based on previous analysis and review of specific 2005 and 2006 SGSSS production data. The model was built, tested and verified by in house TEP personnel. For this phase of the project, TEP communicated with, shared solar production data with and collaborated on the development of solar generation valuation tools with other utilities, including Arizona Public Service, Salt River Project, Xcel and Nevada Power Company as well as the Arizona electric cooperatives. In the second phase of the project, three years of 10 second power output data of the SGSSS was used to evaluate the effectiveness of frequency domain analysis, normal statistical distribution analysis and finally maximum/minimum differential output analysis to test the applicability of these mathematic methods in accurately modeling the output variations produced by clouds passing over the SGSSS array.

  3. Property:USGSMeanCapacity | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to:This property isType"USGSMeanCapacity Jump to:

  4. Native American Technical Assistance and Training for Renewable Energy Resource Development and Electrical Generation Facilities Management

    SciTech Connect (OSTI)

    A. David Lester

    2008-10-17T23:59:59.000Z

    The Council of Energy Resource Tribes (CERT) will facilitate technical expertise and training of Native Americans in renewable energy resource development for electrical generation facilities, and distributed generation options contributing to feasibility studies, strategic planning and visioning. CERT will also provide information to Tribes on energy efficiency and energy management techniques.This project will provide facilitation and coordination of expertise from government agencies and private industries to interact with Native Americans in ways that will result in renewable energy resource development, energy efficiency program development, and electrical generation facilities management by Tribal entities. The intent of this cooperative agreement is to help build capacity within the Tribes to manage these important resources.

  5. High-efficiency grid-connected photovoltaic module integrated converter system with high-speed communication interfaces for small-scale distribution power generation

    SciTech Connect (OSTI)

    Choi, Woo-Young; Lai, Jih-Sheng (Jason) [Future Energy Electronics Center, Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA (United States)

    2010-04-15T23:59:59.000Z

    This paper presents a high-efficiency grid-connected photovoltaic (PV) module integrated converter (MIC) system with reduced PV current variation. The proposed PV MIC system consists of a high-efficiency step-up DC-DC converter and a single-phase full-bridge DC-AC inverter. An active-clamping flyback converter with a voltage-doubler rectifier is proposed for the step-up DC-DC converter. The proposed step-up DC-DC converter reduces the switching losses by eliminating the reverse-recovery current of the output rectifying diodes. To reduce the PV current variation introduced by the grid-connected inverter, a PV current variation reduction method is also suggested. The suggested PV current variation reduction method reduces the PV current variation without any additional components. Moreover, for centralized power control of distributed PV MIC systems, a PV power control scheme with both a central control level and a local control level is presented. The central PV power control level controls the whole power production by sending out reference power signals to each individual PV MIC system. The proposed step-up DC-DC converter achieves a high-efficiency of 97.5% at 260 W output power to generate the DC-link voltage of 350 V from the PV voltage of 36.1 V. The PV MIC system including the DC-DC converter and the DC-AC inverter achieves a high-efficiency of 95% with the PV current ripple less than 3% variation of the rated PV current. (author)

  6. Natural Gas Transmission and Distribution Module This

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

    They relate to (1) structural components of the model, (2) capacity expansion and pricing of transmission and distribution services, (3) Arctic pipelines, and (4) imports...

  7. Natural Gas Transmission and Distribution Module

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

    They relate to (1) structural components of the model, (2) capacity expansion and pricing of transmission and distribution services, (3) Arctic pipelines, and (4) imports...

  8. Dynamic Long-Term Modelling of Generation Capacity Investment and Capacity Margins

    E-Print Network [OSTI]

    Eager, Dan; Hobbs, Benjamin; Bialek, Janusz

    2012-04-25T23:59:59.000Z

    ). Total interest accumulated during construction is given by TIACx = ICx ? cxpx. Finally, DCx is the present worth of the decommissioning cost. Only nuclear projects have considerable decommissioning costs (estimated at 12% of px4); in the case of other... plant types the decommissioning liabilities are assumed to be offset by the salvage value of the assets [22]. Nuclear decommissioning is assumed to take 150 years and the equivalent incidence of capital outlay matrix contains 0.05 for the first 10...

  9. Biomass Power Generation Market Capacity is Estimated to Reach...

    Open Energy Info (EERE)

    Energy Concerns to Push Global Market to Grow at 8.1% CAGR from 2013 to 2019 Oil Shale Market is Estimated to Reach USD 7,400.70 Million by 2022 more Group members (32)...

  10. atp generation capacity: Topics by E-print Network

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

    corroborate asymmetry of catalysis in F0F1-ATP synthase. Zarrabi, Nawid; Diez, Manuel; Graeber, Peter; Wrachtrup, Joerg; Boersch, Michael 2007-01-01 188 Structure of the Bis(Mg2+...

  11. Economic Dispatch of Electric Generation Capacity | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube|6721 Federal Register / Vol.6: RecordJune-Year 1 Winners Announced!EcoCAR

  12. A stochastic multiscale model for electricity generation capacity ...

    E-Print Network [OSTI]

    2011-04-21T23:59:59.000Z

    mand response requires a coupling of both the long and short term dynamics. ... Division, Massachusetts Institute of Technology, 77 Massachusetts Ave, Building ... or demand elasticity (a major objective of demand response programs).

  13. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total Delivered Residential EnergyTotalU.S.

  14. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total Delivered Residential EnergyTotalU.S.Alabama"

  15. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict of Columbia"Maryland" "TechnologyDakota"Virginia"1 Table 16.

  16. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict of Columbia"Maryland" "TechnologyDakota"Virginia"1 Table

  17. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict of Columbia"Maryland" "TechnologyDakota"Virginia"1 TableIllinois"

  18. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict of Columbia"Maryland" "TechnologyDakota"Virginia"1

  19. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict of Columbia"Maryland" "TechnologyDakota"Virginia"1Massachusetts"

  20. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict of Columbia"Maryland"

  1. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict of Columbia"Maryland"Missouri" ,"Plant","Primary energy

  2. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict of Columbia"Maryland"Missouri" ,"Plant","Primary

  3. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict of Columbia"Maryland"Missouri" ,"Plant","PrimaryNebraska"

  4. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict of Columbia"Maryland"Missouri"

  5. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict of Columbia"Maryland"Missouri"Hampshire" ,"Plant","Primary

  6. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict of Columbia"Maryland"Missouri"Hampshire"

  7. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict of Columbia"Maryland"Missouri"Hampshire"Mexico"

  8. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict of Columbia"Maryland"Missouri"Hampshire"Mexico"Dakota"

  9. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict of Columbia"Maryland"Missouri"Hampshire"Mexico"Dakota"Ohio"

  10. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict of

  11. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon" ,"Plant","Primary energy source","Operating

  12. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon" ,"Plant","Primary energy

  13. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon" ,"Plant","Primary energyRhode Island"

  14. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon" ,"Plant","Primary energyRhode Island"Carolina"

  15. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon" ,"Plant","Primary energyRhode

  16. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon" ,"Plant","Primary energyRhodeUnited States"

  17. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon" ,"Plant","Primary energyRhodeUnited States"Utah"

  18. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon" ,"Plant","Primary energyRhodeUnited

  19. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon" ,"Plant","Primary energyRhodeUnitedVirginia"

  20. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon" ,"Plant","Primary energyRhodeUnitedVirginia"Washington"

  1. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon" ,"Plant","Primary

  2. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon" ,"Plant","PrimaryWyoming" ,"Plant","Primary

  3. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon" ,"Plant","PrimaryWyoming"

  4. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon" ,"Plant","PrimaryWyoming"Alaska"

  5. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon" ,"Plant","PrimaryWyoming"Alaska"Arizona"

  6. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon"

  7. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon"Connecticut" ,"Plant","Primary energy

  8. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon"Connecticut" ,"Plant","Primary energyDistrict of

  9. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon"Connecticut" ,"Plant","Primary energyDistrict ofFlorida"

  10. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon"Connecticut" ,"Plant","Primary energyDistrict

  11. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon"Connecticut" ,"Plant","Primary energyDistrictHawaii"

  12. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon"Connecticut" ,"Plant","Primary

  13. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon"Connecticut" ,"Plant","PrimaryIndiana"

  14. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon"Connecticut" ,"Plant","PrimaryIndiana"Iowa"

  15. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon"Connecticut"

  16. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon"Connecticut"Kentucky" ,"Plant","Primary energy

  17. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon"Connecticut"Kentucky" ,"Plant","Primary

  18. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon"Connecticut"Kentucky" ,"Plant","PrimaryMinnesota"

  19. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon"Connecticut"Kentucky"

  20. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon"Connecticut"Kentucky"Carolina" ,"Plant","Primary

  1. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon"Connecticut"Kentucky"Carolina"

  2. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon"Connecticut"Kentucky"Carolina"Tennessee"

  3. Table 2. Ten largest plants by generation capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict ofOregon"Connecticut"Kentucky"Carolina"Tennessee"Wisconsin"

  4. Economic Dispatch of Electric Generation Capacity | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:RevisedAdvisory Board Contributionsreduction system is most economical

  5. 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)

    E-Print Network [OSTI]

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

    2004-01-01T23:59:59.000Z

    Industry, Japan MT microturbine NEGA Japan Engine GeneratorGE), gas turbine (GT), microturbine (MT), fuel cell (FC),Fuel Cell Gas Turbine Microturbine Natual Gas Reciprocating

  6. Solar Photovoltaic Capacity F t P f d P li

    E-Print Network [OSTI]

    6/19/2013 1 Solar Photovoltaic ­ Capacity F t P f d P li Generating Resources Advisory Committee Advisor Model (SAM), version 2013.1.15 Technology: Solar PV (PVWatts system model)Technology: Solar PV (MWh) (First year output, each year thereafter degrades 0.5%) 6 #12;6/19/2013 4 Shape of PNW Solar PV

  7. Understanding the use of natural gas storage for generators of electricity

    SciTech Connect (OSTI)

    Beckman, K.L. [International Gas Consulting, Inc., Houston, TX (United States)

    1995-12-31T23:59:59.000Z

    Underground natural gas storage is aggressively used by a handful of utility electric generators in the United States. While storage facilities are often utilized by the natural gas pipeline industry and the local distribution companies (LDCs), regional electric generators have taken advantgage of abundant storage and pipeline capacity to develop very cost efficient gas fired electric generating capacity, especially for peaking demand. Most types of natural gas storage facilities are located underground, with a few based above-ground. These facilities have served two basic types of natural gas storage service requirements: seasonal baseload and needle peakshaving. Baseload services are typically developed in depleted oil and gas reservoirs and aquifers while mined caverns and LNG facilities (also Propane-air facilities) typically provide needle peakshaving services. Reengineering of the natural gas infrastructure will alter the historical use patterns, and will provide the electric industry with new gas supply management tools. Electric generators, as consumers of natural gas, were among the first open access shippers and, as a result of FERC Order 636, are now attempting to reposition themselves in the {open_quotes}new{close_quotes} gas industry. Stated in terms of historical consumption, the five largest gas burning utilities consume 40% of all the gas burned for electric generation, and the top twenty accounted for approximately 70%. Slightly more than 100 utilities, including municipals, have any gas fired generating capacity, a rather limited number. These five are all active consumers of storage services.

  8. Market Design for Generation Adequacy: Healing Causes rather than Symptoms

    E-Print Network [OSTI]

    Roques, Fabien A

    for charging offpeak consumers with capacity costs by relating it to the reliability design criterion employed in planning for the capacity expansion of the power system, e.g. the loss of load probability (LOLP). Under optimal capacity planning the marginal... of the generating units, which represents a measure of the contribution of each generating unit to the reliability of the power system (Batlle et al., 2007). Frequent conflicts have arisen because of the rules of definition of firm capacity of hydro plants...

  9. High-resolution radial Ka spectra obtained from a multi-keV electron distribution in solid-density titanium foils generated by relativistic laserematter interaction

    E-Print Network [OSTI]

    Kroupp, Eyal

    -density titanium foils generated by relativistic laserematter interaction U. Zastrau a,*, A. Sengebusch b , P s t r a c t We studied temperature and Ka yield radial profiles of thin titanium foils as a result in novel experiments generating high energy plasma in materials and will be of particular importance

  10. GASCAP: Wellhead Gas Productive Capacity Model documentation, June 1993

    SciTech Connect (OSTI)

    Not Available

    1993-07-01T23:59:59.000Z

    The Wellhead Gas Productive Capacity Model (GASCAP) has been developed by EIA to provide a historical analysis of the monthly productive capacity of natural gas at the wellhead and a projection of monthly capacity for 2 years into the future. The impact of drilling, oil and gas price assumptions, and demand on gas productive capacity are examined. Both gas-well gas and oil-well gas are included. Oil-well gas productive capacity is estimated separately and then combined with the gas-well gas productive capacity. This documentation report provides a general overview of the GASCAP Model, describes the underlying data base, provides technical descriptions of the component models, diagrams the system and subsystem flow, describes the equations, and provides definitions and sources of all variables used in the system. This documentation report is provided to enable users of EIA projections generated by GASCAP to understand the underlying procedures used and to replicate the models and solutions. This report should be of particular interest to those in the Congress, Federal and State agencies, industry, and the academic community, who are concerned with the future availability of natural gas.

  11. Third Generation Flywheels for electric storage

    SciTech Connect (OSTI)

    Ricci, Michael, R.; Fiske, O. James

    2008-02-29T23:59:59.000Z

    Electricity is critical to our economy, but growth in demand has saturated the power grid causing instability and blackouts. The economic penalty due to lost productivity in the US exceeds $100 billion per year. Opposition to new transmission lines and power plants, environmental restrictions, and an expected $100 billion grid upgrade cost have slowed system improvements. Flywheel electricity storage could provide a more economical, environmentally benign alternative and slash economic losses if units could be scaled up in a cost effective manner to much larger power and capacity than the present maximum of a few hundred kW and a few kWh per flywheel. The goal of this project is to design, construct, and demonstrate a small-scale third generation electricity storage flywheel using a revolutionary architecture scalable to megawatt-hours per unit. First generation flywheels are built from bulk materials such as steel and provide inertia to smooth the motion of mechanical devices such as engines. They can be scaled up to tens of tons or more, but have relatively low energy storage density. Second generation flywheels use similar designs but are fabricated with composite materials such as carbon fiber and epoxy. They are capable of much higher energy storage density but cannot economically be built larger than a few kWh of storage capacity due to structural and stability limitations. LaunchPoint is developing a third generation flywheel — the "Power Ring" — with energy densities as high or higher than second generation flywheels and a totally new architecture scalable to enormous sizes. Electricity storage capacities exceeding 5 megawatt-hours per unit appear both technically feasible and economically attractive. Our design uses a new class of magnetic bearing – a radial gap “shear-force levitator” – that we discovered and patented, and a thin-walled composite hoop rotated at high speed to store kinetic energy. One immediate application is power grid frequency regulation, where Power Rings could cut costs, reduce fuel consumption, eliminate emissions, and reduce the need for new power plants. Other applications include hybrid diesel-electric locomotives, grid power quality, support for renewable energy, spinning reserve, energy management, and facility deferral. Decreased need for new generation and transmission alone could save the nation $2.5 billion per year. Improved grid reliability could cut economic losses due to poor power quality by tens of billions of dollars per year. A large export market for this technology could also develop. Power Ring technology will directly support the EERE mission, and the goals of the Distributed Energy Technologies Subprogram in particular, by helping to reduce blackouts, brownouts, electricity costs, and emissions, by relieving transmission bottlenecks, and by greatly improving grid power quality.

  12. Capacity Withholding in Restructured Wholesale Power Markets: An Agent-Based Test Bed Study

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Capacity Withholding in Restructured Wholesale Power Markets: An Agent-Based Test Bed Study test case imple- mented via the AMES Wholesale Power Market Test Bed to investigate strategic capacity withholding by generation compa- nies (GenCos) in restructured wholesale power markets under systematically

  13. Kampung Capacity Local Solutions for

    E-Print Network [OSTI]

    Kammen, Daniel M.

    utility customers. Using a hybrid energy resource optimization framework, we explore optimal configurationKampung Capacity Local Solutions for Sustainable Rural Energy in the Baram River Basin, Sarawak Energy Laboratory (RAEL) & Energy and Resources Group and Goldman School of Public Policy Release Date

  14. Data aggregation for capacity management

    E-Print Network [OSTI]

    Lee, Yong Woo

    2004-09-30T23:59:59.000Z

    This thesis presents a methodology for data aggregation for capacity management. It is assumed that there are a very large number of products manufactured in a company and that every product is stored in the database with its standard unit per hour...

  15. Sandia National Laboratories: Small Generator Interconnection...

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

    Commission Revised Its Small Generator Interconnection Procedure and Small Generator Interconnection Agreement On March 4, 2014, in Distribution Grid Integration, Energy, Grid...

  16. High Wind Penetration Impact on U.S. Wind Manufacturing Capacity and Critical Resources

    SciTech Connect (OSTI)

    Laxson, A.; Hand, M. M.; Blair, N.

    2006-10-01T23:59:59.000Z

    This study used two different models to analyze a number of alternative scenarios of annual wind power capacity expansion to better understand the impacts of high levels of wind generated electricity production on wind energy manufacturing and installation rates.

  17. Update-Efficiency and Local Repairability Limits for Capacity Approaching Codes

    E-Print Network [OSTI]

    Mazumdar, Arya

    Motivated by distributed storage applications, we investigate the degree to which capacity achieving codes can be efficiently updated when a single information symbol changes, and the degree to which such codes can be ...

  18. Microstructural effects on capacity-rate performance of vanadium oxide cathodes in lithium-ion batteries

    E-Print Network [OSTI]

    Davis, Robin M. (Robin Manes)

    2005-01-01T23:59:59.000Z

    Vanadium oxide thin film cathodes were analyzed to determine whether smaller average grain size and/or a narrower average grain size distribution affects the capacity-rate performance in lithium-ion batteries. Vanadium ...

  19. Direct and Reverse Secret-Key Capacities of a Quantum Channel

    E-Print Network [OSTI]

    Braunstein, Samuel L.

    We define the direct and reverse secret-key capacities of a memoryless quantum channel as the optimal rates that entanglement-based quantum-key-distribution protocols can reach by using a single forward classical communication ...

  20. Next-Generation Wind Technology | Department of Energy

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

    and reliability of next-generation wind technologies while lowering the cost of wind energy. The program's research efforts have helped to increase the average capacity...

  1. Modeling the Capacity and Emissions Impacts of Reduced Electricity Demand. Part 1. Methodology and Preliminary Results.

    E-Print Network [OSTI]

    Coughlin, Katie

    2013-01-01T23:59:59.000Z

    single cycle, oil or diesel generation, which would lead toTurbine/Diesel, and the other generation type include PumpedDiesel Nuclear Power Pumped Storage Fuel Cells Renewable Sources Distributed Generation

  2. Want to Put an End to Capacity Markets? Think Real-Time Pricing

    SciTech Connect (OSTI)

    Reeder, Mark

    2006-07-15T23:59:59.000Z

    The amount of generation capacity that must be installed to meet resource adequacy requirements often causes the energy market to be suppressed to the point that it fails to produce sufficient revenues to attract new entry. A significant expansion in the use of real-time pricing can, over time, cause the energy market to become a more bountiful source of revenues for generators, allowing the elimination of the capacity market. (author)

  3. Abundance and distribution of macro-crustaceans in the intake and discharge areas before and during early operation of the Cedar Bayou Generating Station

    E-Print Network [OSTI]

    Schmidt, Monroe

    1972-01-01T23:59:59.000Z

    and Discharge Areas Before and During Early Operation of the Cedar Bayou Generating Station. (May 1972) Monroe Schmidt, A. A. , Blinn College; B. S. , Texas A&M University Directed by: Dr. Kirk Strawn Two trawl and 1 seine station in Tabbs Bay, 2 trawl... were collected twice monthly from May through October 1970. Genera- tion of electric power (and discharge of heated water) by Unit 1, a 750 MW steam-electric unit of the Houston Lighting and Power Company's Cedar Bayou Generating Station, began...

  4. Theoretical approach and impact of correlations on the critical packet generation rate in traffic dynamics on complex networks

    E-Print Network [OSTI]

    Fronczak, Piotr

    2015-01-01T23:59:59.000Z

    Using the formalism of the biased random walk in random uncorrelated networks with arbitrary degree distributions, we develop theoretical approach to the critical packet generation rate in traffic based on routing strategy with local information. We explain microscopic origins of the transition from the flow to the jammed phase and discuss how the node neighbourhood topology affects the transport capacity in uncorrelated and correlated networks.

  5. High capacity immobilized amine sorbents

    DOE Patents [OSTI]

    Gray, McMahan L. (Pittsburgh, PA); Champagne, Kenneth J. (Fredericktown, PA); Soong, Yee (Monroeville, PA); Filburn, Thomas (Granby, CT)

    2007-10-30T23:59:59.000Z

    A method is provided for making low-cost CO.sub.2 sorbents that can be used in large-scale gas-solid processes. The improved method entails treating an amine to increase the number of secondary amine groups and impregnating the amine in a porous solid support. The method increases the CO.sub.2 capture capacity and decreases the cost of utilizing an amine-enriched solid sorbent in CO.sub.2 capture systems.

  6. 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. [School of Metallurgical and Ecological Engineering, The University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing 100083 (China); Nakajima, K.; Sakanakura, H. [Research Center for Material Cycles and Waste Management, National Institute for Environmental Studies (NIES), 16-2 Onogawa, Tsukuba 305-8506 (Japan); Matsubae, K. [Graduate School of Engineering, Tohoku University, 6-6-11 Aza-Aoba, Aramaki, Sendai 980-8579 (Japan); Bai, H. [School of Metallurgical and Ecological Engineering, The University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing 100083 (China); Nagasaka, T., E-mail: t-nagasaka@m.tohoku.ac.jp [Graduate School of Engineering, Tohoku University, 6-6-11 Aza-Aoba, Aramaki, Sendai 980-8579 (Japan)

    2012-06-15T23:59:59.000Z

    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.

  7. Capacity planning in a transitional economy: What issues? Which models?

    SciTech Connect (OSTI)

    Mubayi, V.; Leigh, R.W. [Brookhaven National Lab., Upton, NY (United States); Bright, R.N. [Anylec Research, Inc., Bayport, NY (United States)

    1996-03-01T23:59:59.000Z

    This paper is devoted to an exploration of the important issues facing the Russian power generation system and its evolution in the foreseeable future and the kinds of modeling approaches that capture those issues. These issues include, for example, (1) trade-offs between investments in upgrading and refurbishment of existing thermal (fossil-fired) capacity and safety enhancements in existing nuclear capacity versus investment in new capacity, (2) trade-offs between investment in completing unfinished (under construction) projects based on their original design versus investment in new capacity with improved design, (3) incorporation of demand-side management options (investments in enhancing end-use efficiency, for example) within the planning framework, (4) consideration of the spatial dimensions of system planning including investments in upgrading electric transmission networks or fuel shipment networks and incorporating hydroelectric generation, (5) incorporation of environmental constraints and (6) assessment of uncertainty and evaluation of downside risk. Models for exploring these issues include low power shutdown (LPS) which are computationally very efficient, though approximate, and can be used to perform extensive sensitivity analyses to more complex models which can provide more detailed answers but are computationally cumbersome and can only deal with limited issues. The paper discusses which models can usefully treat a wide range of issues within the priorities facing decision makers in the Russian power sector and integrate the results with investment decisions in the wider economy.

  8. An economic feasibility analysis of distributed electric power generation based upon the natural gas-fired fuel cell: a model of a central utility plant.

    SciTech Connect (OSTI)

    Not Available

    1993-06-30T23:59:59.000Z

    This central utilities plant model details the major elements of a central utilities plant for several classes of users. The model enables the analyst to select optional, cost effective, plant features that are appropriate to a fuel cell application. These features permit the future plant owner to exploit all of the energy produced by the fuel cell, thereby reducing the total cost of ownership. The model further affords the analyst an opportunity to identify avoided costs of the fuel cell-based power plant. This definition establishes the performance and capacity information, appropriate to the class of user, to support the capital cost model and the feasibility analysis. It is detailed only to the depth required to identify the major elements of a fuel cell-based system. 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. The user may also select large office buildings that are characterized by 12 to 16 hours per day of operation or industrial users with a steady demand for thermal and electrical energy around the clock.

  9. The private classical capacity with a symmetric side channel and its application to quantum cryptography

    E-Print Network [OSTI]

    Graeme Smith

    2007-05-25T23:59:59.000Z

    We study the symmetric-side-channel-assisted private capacity of a quantum channel, for which we provide a single-letter formula. This capacity is additive, convex, and, for degradable channels, equal to the unassisted private capacity. While a channel's (unassisted) capacity for for private classical communication may be strictly larger than its quantum capacity, we will show that these capacities are equal for degradable channels, thus demonstrating the equivalence of privacy and quantum coherence in this context. We use these ideas to find new bounds on the key rate of quantum key distribution protocols with one-way classical post-processing. For the Bennett-Brassard-84 (BB84) protocol, our results demonstrate that collective attacks are strictly stronger than individual attacks.

  10. 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)

    2003-01-01T23:59:59.000Z

    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.

  11. 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)

    2002-01-01T23:59:59.000Z

    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.

  12. Electric Power Generation and Transmission (Iowa)

    Broader source: Energy.gov [DOE]

    Electric power generating facilities with a combined capacity greater than 25 MW, as well as associated transmission lines, may not be constructed or begin operation prior to the issuance of a...

  13. Enhancing the Smart Grid: Integrating Clean Distributed and Renewable...

    Energy Savers [EERE]

    Enhancing the Smart Grid: Integrating Clean Distributed and Renewable Generation Enhancing the Smart Grid: Integrating Clean Distributed and Renewable Generation Imagine a grid...

  14. Capacity expansion in contemporary telecommunication networks

    E-Print Network [OSTI]

    Sivaraman, Raghavendran

    2007-01-01T23:59:59.000Z

    We study three capacity expansion problems in contemporary long distance telecommunication networks. The first two problems, motivated by a major long distance provider, address capacity expansion in national hybrid long ...

  15. Neural substrates of cognitive capacity limitations

    E-Print Network [OSTI]

    Buschman, Tim

    Cognition has a severely limited capacity: Adult humans can retain only about four items “in mind”. This limitation is fundamental to human brain function: Individual capacity is highly correlated with intelligence measures ...

  16. FURTHER EXPERIMENTS IN FISHWAY CAPACITY, 1957

    E-Print Network [OSTI]

    capacity trials 7 Maximum entry and exit 7 Entry capacity 8 Maximum number of fish present in the fishway 8 on 16 and a mean depth of 6. 3 feet. Maximum observed entry and exit of salmonids are discussed

  17. A Multi Agent-Based Framework for Simulating Household PHEV Distribution and Electric Distribution Network Impact

    SciTech Connect (OSTI)

    Cui, Xiaohui [ORNL] [ORNL; Liu, Cheng [ORNL] [ORNL; Kim, Hoe Kyoung [ORNL] [ORNL; Kao, Shih-Chieh [ORNL] [ORNL; Tuttle, Mark A [ORNL] [ORNL; Bhaduri, Budhendra L [ORNL] [ORNL

    2011-01-01T23:59:59.000Z

    The variation of household attributes such as income, travel distance, age, household member, and education for different residential areas may generate different market penetration rates for plug-in hybrid electric vehicle (PHEV). Residential areas with higher PHEV ownership could increase peak electric demand locally and require utilities to upgrade the electric distribution infrastructure even though the capacity of the regional power grid is under-utilized. Estimating the future PHEV ownership distribution at the residential household level can help us understand the impact of PHEV fleet on power line congestion, transformer overload and other unforeseen problems at the local residential distribution network level. It can also help utilities manage the timing of recharging demand to maximize load factors and utilization of existing distribution resources. This paper presents a multi agent-based simulation framework for 1) modeling spatial distribution of PHEV ownership at local residential household level, 2) discovering PHEV hot zones where PHEV ownership may quickly increase in the near future, and 3) estimating the impacts of the increasing PHEV ownership on the local electric distribution network with different charging strategies. In this paper, we use Knox County, TN as a case study to show the simulation results of the agent-based model (ABM) framework. However, the framework can be easily applied to other local areas in the US.

  18. Voluntary Initiative: Partnering to Enhance Program Capacity...

    Energy Savers [EERE]

    to Enhance Program Capacity Better Buildings Residential Network Program Sustainability Peer Exchange Call Series: Voluntary Initiative: Partnering to Enhance Program...

  19. Modeling of leachate generation in municipal solid waste landfills

    E-Print Network [OSTI]

    Beck, James Bryan

    1994-01-01T23:59:59.000Z

    and the inclusion of compaction effects and leachate generation and movement effects by Mehevec (1994) should provide the user with a tool for estimating leachate generation values and landfill capacity figures for a variety of initial design and operational...

  20. Can Science and Technology Capacity be Measured?

    E-Print Network [OSTI]

    Wagner, Caroline S; Dutta, Arindum

    2015-01-01T23:59:59.000Z

    The ability of a nation to participate in the global knowledge economy depends to some extent on its capacities in science and technology. In an effort to assess the capacity of different countries in science and technology, this article updates a classification scheme developed by RAND to measure science and technology capacity for 150 countries of the world.

  1. Species composition, distribution, and seasonal abundance of macro-zooplankton in intake and discharge areas before and during early operation of the Cedar Bayou generating station

    E-Print Network [OSTI]

    Kalke, Richard D

    1972-01-01T23:59:59.000Z

    collections were made during the first and third weekends of each month. As of March I, 1970 collec- tions were made on alternate weekends for purposes of greater uni- formity. Generation of electric power and discharge of heated water by Unit 1, a 750 MW... for invertebrates while Middle Bay, Tabbs Bay and Cedar Bayou ranked in decreas1ng order. Factors thought to have caused differences in abundance of species and catch per effort between the areas studied were: (I) degree of pollution in each area, (2) amount...

  2. Hardware simulation of diesel generator and microgrid stability

    E-Print Network [OSTI]

    Zieve, Michael M

    2012-01-01T23:59:59.000Z

    Over the last few years, people have begun to depend less on large power plants with extensive distribution systems, and more on local distributed generation sources. A microgrid, a local collection of distributed generators, ...

  3. Capacity fade of Sony 18650 cells cycled at elevated temperatures Part II. Capacity fade analysis

    E-Print Network [OSTI]

    Popov, Branko N.

    Capacity fade of Sony 18650 cells cycled at elevated temperatures Part II. Capacity fade analysis P August 2002 Abstract A complete capacity fade analysis was carried out for Sony 18650 cells cycled the other losses. # 2002 Elsevier Science B.V. All rights reserved. Keywords: Capacity fade; Sony 18650

  4. Sandia National Laboratories: Distributed Grid Integration

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

    Distributed Grid Integration Federal Electric Regulatory Commission Revised Its Small Generator Interconnection Procedure and Small Generator Interconnection Agreement On March 4,...

  5. Helping Policymakers Evaluate Distributed Wind Options | Department...

    Energy Savers [EERE]

    distributed wind-wind turbines installed at homes, farms, and busi-nesses. Distributed wind allows Americans to generate their own clean electricity and cut their energy bills,...

  6. Determining the Capacity Value of Wind: A Survey of Methods and Implementation; Preprint

    SciTech Connect (OSTI)

    Milligan, M.; Porter, K.

    2005-05-01T23:59:59.000Z

    This paper focuses on methodologies for determining the capacity value of generating resources, including wind energy and summarizes several important state and regional studies. Regional transmission organizations, state utility regulatory commissions, the North American Electric Reliability Council, regional reliability councils, and increasingly, the Federal Energy Regulatory Commission all advocate, call for, or in some instances, require that electric utilities and competitive power suppliers not only have enough generating capacity to meet customer demand but also have generating capacity in reserve in case customer demand is higher than expected, or if a generator or transmission line goes out of service. Although the basic concept is the same across the country, how it is implemented is strikingly different from region to region. Related to this question is whether wind energy qualifies as a capacity resource. Wind's variability makes this a matter of great debate in some regions. However, many regions accept that wind energy has some capacity value, albeit at a lower value than other energy technologies. Recently, studies have been published in California, Minnesota and New York that document that wind energy has some capacity value. These studies join other initiatives in PJM, Colorado, and in other states and regions.

  7. Assessment of the methane oxidation capacity of compacted soils intended for use as landfill cover materials

    SciTech Connect (OSTI)

    Rachor, Ingke, E-mail: i.rachor@ifb.uni-hamburg.de [University of Hamburg, Institute of Soil Science, Allende-Platz 2, 20146 Hamburg (Germany); Gebert, Julia; Groengroeft, Alexander; Pfeiffer, Eva-Maria [University of Hamburg, Institute of Soil Science, Allende-Platz 2, 20146 Hamburg (Germany)

    2011-05-15T23:59:59.000Z

    The microbial oxidation of methane in engineered cover soils is considered a potent option for the mitigation of emissions from old landfills or sites containing wastes of low methane generation rates. A laboratory column study was conducted in order to derive design criteria that enable construction of an effective methane oxidising cover from the range of soils that are available to the landfill operator. Therefore, the methane oxidation capacity of different soils was assessed under simulated landfill conditions. Five sandy potential landfill top cover materials with varying contents of silt and clay were investigated with respect to methane oxidation and corresponding soil gas composition over a period of four months. The soils were compacted to 95% of their specific proctor density, resulting in bulk densities of 1.4-1.7 g cm{sup -3}, reflecting considerably unfavourable conditions for methane oxidation due to reduced air-filled porosity. The soil water content was adjusted to field capacity, resulting in water contents ranging from 16.2 to 48.5 vol.%. The investigated inlet fluxes ranged from 25 to about 100 g CH{sub 4} m{sup -2} d{sup -1}, covering the methane load proposed to allow for complete oxidation in landfill covers under Western European climate conditions and hence being suggested as a criterion for release from aftercare. The vertical distribution of gas concentrations, methane flux balances as well as stable carbon isotope studies allowed for clear process identifications. Higher inlet fluxes led to a reduction of the aerated zone, an increase in the absolute methane oxidation rate and a decline of the relative proportion of oxidized methane. For each material, a specific maximum oxidation rate was determined, which varied between 20 and 95 g CH{sub 4} m{sup -2} d{sup -1} and which was positively correlated to the air-filled porosity of the soil. Methane oxidation efficiencies and gas profile data imply a strong link between oxidation capacity and diffusive ingress of atmospheric air. For one material with elevated levels of fine particles and high organic matter content, methane production impeded the quantification of methane oxidation potentials. Regarding the design of landfill cover layers it was concluded that the magnitude of the expected methane load, the texture and expected compaction of the cover material are key variables that need to be known. Based on these, a column study can serve as an appropriate testing system to determine the methane oxidation capacity of a soil intended as landfill cover material.

  8. Overland Tidal Power Generation Using Modular Tidal Prism

    SciTech Connect (OSTI)

    Khangaonkar, Tarang; Yang, Zhaoqing; Geerlofs, Simon H.; Copping, Andrea

    2010-03-01T23:59:59.000Z

    Naturally occurring sites with sufficient kinetic energy suitable for tidal power generation with sustained currents > 1 to 2 m/s are relatively rare. Yet sites with greater than 3 to 4 m of tidal range are relatively common around the U.S. coastline. Tidal potential does exist along the shoreline but is mostly distributed, and requires an approach which allows trapping and collection to also be conducted in a distributed manner. In this paper we examine the feasibility of generating sustainable tidal power using multiple nearshore tidal energy collection units and present the Modular Tidal Prism (MTP) basin concept. The proposed approach utilizes available tidal potential by conversion into tidal kinetic energy through cyclic expansion and drainage from shallow modular manufactured overland tidal prisms. A preliminary design and configuration of the modular tidal prism basin including inlet channel configuration and basin dimensions was developed. The unique design was shown to sustain momentum in the penstocks during flooding as well as ebbing tidal cycles. The unstructured-grid finite volume coastal ocean model (FVCOM) was used to subject the proposed design to a number of sensitivity tests and to optimize the size, shape and configuration of MTP basin for peak power generation capacity. The results show that an artificial modular basin with a reasonable footprint (? 300 acres) has the potential to generate 10 to 20 kw average energy through the operation of a small turbine located near the basin outlet. The potential of generating a total of 500 kw to 1 MW of power through a 20 to 40 MTP basin tidal power farms distributed along the coastline of Puget Sound, Washington, is explored.

  9. Solar Energy and Capacity Value (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-09-01T23:59:59.000Z

    This is a one-page, two-sided fact sheet on the capacity of solar power to provide value to utilities and power system operators.

  10. Increasing water holding capacity for irrigation

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

    Increasing water holding capacity for irrigation Reseachers recommend solutions for sediment trapping in irrigation system LANL and SNL leveraged technical expertise to determine...

  11. Worldwide Energy Efficiency Action through Capacity Building...

    Open Energy Info (EERE)

    and Training (WEACT) Jump to: navigation, search Logo: Worldwide Energy Efficiency Action through Capacity Building and Training (WEACT) Name Worldwide Energy Efficiency Action...

  12. Quantum Capacities of Channels with small Environment

    E-Print Network [OSTI]

    Michael M. Wolf; David Perez-Garcia

    2006-07-11T23:59:59.000Z

    We investigate the quantum capacity of noisy quantum channels which can be represented by coupling a system to an effectively small environment. A capacity formula is derived for all cases where both system and environment are two-dimensional--including all extremal qubit channels. Similarly, for channels acting on higher dimensional systems we show that the capacity can be determined if the channel arises from a sufficiently small coupling to a qubit environment. Extensions to instances of channels with larger environment are provided and it is shown that bounds on the capacity with unconstrained environment can be obtained from decompositions into channels with small environment.

  13. Exploring Distributed Energy Alternatives to Electrical Distribution Grid Expansion in Souhern California Edison Service Territory

    SciTech Connect (OSTI)

    Stovall, Therese K [ORNL; Kingston, Tim [Gas Technology Institute

    2005-12-01T23:59:59.000Z

    Distributed energy (DE) technologies have received much attention for the energy savings and electric power reliability assurances that may be achieved by their widespread adoption. Fueling the attention have been the desires to globally reduce greenhouse gas emissions and concern about easing power transmission and distribution system capacity limitations and congestion. However, these benefits may come at a cost to the electric utility companies in terms of lost revenue and concerns with interconnection on the distribution system. This study assesses the costs and benefits of DE to both consumers and distribution utilities and expands upon a precursory study done with Detroit Edison (DTE)1, by evaluating the combined impact of DE, energy-efficiency, photovoltaics (a use of solar energy), and demand response that will shape the grid of the future. This study was funded by the U.S. Department of Energy (DOE), Gas Research Institute (GRI), American Electric Power (AEP), and Gas Technology Institute's (GTI) Distributed Energy Collaborative Program (DECP). It focuses on two real Southern California Edison (SCE) circuits, a 13 MW suburban circuit fictitiously named Justice on the Lincoln substation, and an 8 MW rural circuit fictitiously named Prosper on the Washington Substation. The primary objectives of the study were threefold: (1) Evaluate the potential for using advanced energy technologies, including DE, energy-efficiency (EE), demand response, electricity storage, and photovoltaics (PV), to reshape electric load curves by reducing peak demand, for real circuits. (2) Investigate the potential impact on guiding technology deployment and managing operation in a way that benefits both utilities and their customers by: (a) Improving grid load factor for utilities; (b) Reducing energy costs for customers; and (c) Optimizing electric demand growth. (3) Demonstrate benefits by reporting on a recently installed advanced energy system at a utility customer site. This study showed that advanced energy technologies are economical for many customers on the two SCE circuits analyzed, providing certain customers with considerable energy cost savings. Using reasonable assumptions about market penetration, the study showed that adding distributed generation would reduce peak demand on the two circuits enough to defer the need to upgrade circuit capacity. If the DE is optimally targeted, the deferral could economically benefit SCE, with cost savings that outweigh the lost revenues due to lower sales of electricity. To a lesser extent, economically justifiable energy-efficiency, photovoltaic technologies, and demand response could also help defer circuit capacity upgrades by reducing demand.

  14. Investigation of broadband over power line channel capacity of shipboard power system cables for ship communications networks

    E-Print Network [OSTI]

    Akinnikawe, Ayorinde

    2009-05-15T23:59:59.000Z

    cables. The work used a multiconductor transmission line theory based approach to model the channel response of SPS distribution lines and estimated the channel throughput capacity using a “water-filling” communication technique. This work found that BPL...

  15. Exploring the spatial implications of capacity constraints in public transportation systems : a scenario-based analysis of London

    E-Print Network [OSTI]

    Tuttle, Stephen B. (Stephen Bradford)

    2014-01-01T23:59:59.000Z

    In growing regions with large public transportation systems, the distribution of available capacity can affect where development occurs and determine which users and land uses suffer from further crowding. However, analyzing ...

  16. Comparing Resource Adequacy Metrics and Their Influence on Capacity Value: Preprint

    SciTech Connect (OSTI)

    Ibanez, E.; Milligan, M.

    2014-04-01T23:59:59.000Z

    Traditional probabilistic methods have been used to evaluate resource adequacy. The increasing presence of variable renewable generation in power systems presents a challenge to these methods because, unlike thermal units, variable renewable generation levels change over time because they are driven by meteorological events. Thus, capacity value calculations for these resources are often performed to simple rules of thumb. This paper follows the recommendations of the North American Electric Reliability Corporation?s Integration of Variable Generation Task Force to include variable generation in the calculation of resource adequacy and compares different reliability metrics. Examples are provided using the Western Interconnection footprint under different variable generation penetrations.

  17. North Dakota Refining Capacity Study

    SciTech Connect (OSTI)

    Dennis Hill; Kurt Swenson; Carl Tuura; Jim Simon; Robert Vermette; Gilberto Marcha; Steve Kelly; David Wells; Ed Palmer; Kuo Yu; Tram Nguyen; Juliam Migliavacca

    2011-01-05T23:59:59.000Z

    According to a 2008 report issued by the United States Geological Survey, North Dakota and Montana have an estimated 3.0 to 4.3 billion barrels of undiscovered, technically recoverable oil in an area known as the Bakken Formation. With the size and remoteness of the discovery, the question became 'can a business case be made for increasing refining capacity in North Dakota?' And, if so what is the impact to existing players in the region. To answer the question, a study committee comprised of leaders in the region's petroleum industry were brought together to define the scope of the study, hire a consulting firm and oversee the study. The study committee met frequently to provide input on the findings and modify the course of the study, as needed. The study concluded that the Petroleum Area Defense District II (PADD II) has an oversupply of gasoline. With that in mind, a niche market, naphtha, was identified. Naphtha is used as a diluent used for pipelining the bitumen (heavy crude) from Canada to crude markets. The study predicted there will continue to be an increase in the demand for naphtha through 2030. The study estimated the optimal configuration for the refinery at 34,000 barrels per day (BPD) producing 15,000 BPD of naphtha and a 52 percent refinery charge for jet and diesel yield. The financial modeling assumed the sponsor of a refinery would invest its own capital to pay for construction costs. With this assumption, the internal rate of return is 9.2 percent which is not sufficient to attract traditional investment given the risk factor of the project. With that in mind, those interested in pursuing this niche market will need to identify incentives to improve the rate of return.

  18. Nuclear power generation and fuel cycle report 1996

    SciTech Connect (OSTI)

    NONE

    1996-10-01T23:59:59.000Z

    This report presents the current status and projections through 2015 of nuclear capacity, generation, and fuel cycle requirements for all countries using nuclear power to generate electricity for commercial use. It also contains information and forecasts of developments in the worldwide nuclear fuel market. Long term projections of U.S. nuclear capacity, generation, and spent fuel discharges for two different scenarios through 2040 are developed. A discussion on decommissioning of nuclear power plants is included.

  19. Mitochondrial Respiratory Capacity Is a Critical Regulator

    E-Print Network [OSTI]

    respiratory capacity (SRC). SRC is the extra capacity available in cells to produce energy in response. In response to antigen (Ag) and costimulation, CD8+ T cells undergo a developmental program characterized- ating in response to Ag, it is thought that quiescent T cells (e.g., naive and memory T cells), like

  20. REDUCTION CAPACITY OF SALTSTONE AND SALTSTONE COMPONENTS

    SciTech Connect (OSTI)

    Roberts, K.; Kaplan, D.

    2009-11-30T23:59:59.000Z

    The duration that saltstone retains its ability to immobilize some key radionuclides, such as technetium (Tc), plutonium (Pu), and neptunium (Np), depends on its capacity to maintain a low redox status (or low oxidation state). The reduction capacity is a measure of the mass of reductants present in the saltstone; the reductants are the active ingredients that immobilize Tc, Pu, and Np. Once reductants are exhausted, the saltstone loses its ability to immobilize these radionuclides. The reduction capacity values reported here are based on the Ce(IV)/Fe(II) system. The Portland cement (198 {micro}eq/g) and especially the fly ash (299 {micro}eq/g) had a measurable amount of reduction capacity, but the blast furnace slag (820 {micro}eq/g) not surprisingly accounted for most of the reduction capacity. The blast furnace slag contains ferrous iron and sulfides which are strong reducing and precipitating species for a large number of solids. Three saltstone samples containing 45% slag or one sample containing 90% slag had essentially the same reduction capacity as pure slag. There appears to be some critical concentration between 10% and 45% slag in the Saltstone formulation that is needed to create the maximum reduction capacity. Values from this work supported those previously reported, namely that the reduction capacity of SRS saltstone is about 820 {micro}eq/g; this value is recommended for estimating the longevity that the Saltstone Disposal Facility will retain its ability to immobilize radionuclides.

  1. Carbon Dioxide Sealing Capacity: Textural or Compositional Controls?

    SciTech Connect (OSTI)

    Cranganu, Constantin; Soleymani, Hamidreza; Sadiqua, Soleymani; Watson, Kieva

    2013-11-30T23:59:59.000Z

    This research project is aiming to assess the carbon dioxide sealing capacity of most common seal-rocks, such as shales and non-fractured limestones, by analyzing the role of textural and compositional parameters of those rocks. We hypothesize that sealing capacity is controlled by textural and/or compositional pa-rameters of caprocks. In this research, we seek to evaluate the importance of textural and compositional parameters affecting the sealing capacity of caprocks. The conceptu-al framework involves two testable end-member hypotheses concerning the sealing ca-pacity of carbon dioxide reservoir caprocks. Better understanding of the elements controlling sealing quality will advance our knowledge regarding the sealing capacity of shales and carbonates. Due to relatively low permeability, shale and non-fractured carbonate units are considered relatively imper-meable formations which can retard reservoir fluid flow by forming high capillary pres-sure. Similarly, these unites can constitute reliable seals for carbon dioxide capture and sequestration purposes. This project is a part of the comprehensive project with the final aim of studying the caprock sealing properties and the relationship between microscopic and macroscopic characteristics of seal rocks in depleted gas fields of Oklahoma Pan-handle. Through this study we examined various seal rock characteristics to infer about their respective effects on sealing capacity in special case of replacing reservoir fluid with super critical carbon dioxide (scCO{sub 2}). To assess the effect of textural and compositional properties on scCO{sub 2} maximum reten-tion column height we collected 30 representative core samples in caprock formations in three counties (Cimarron, Texas, Beaver) in Oklahoma Panhandle. Core samples were collected from various seal formations (e.g., Cherokee, Keys, Morrowan) at different depths. We studied the compositional and textural properties of the core samples using several techniques. Mercury Injection Porosimetry (MIP), Scanning Electron Microsco-py SEM, and Sedigraph measurements are used to assess the pore-throat-size distribu-tion, sorting, texture, and grain size of the samples. Also, displacement pressure at 10% mercury saturation (Pd) and graphically derived threshold pressure (Pc) were deter-mined by MIP technique. SEM images were used for qualitative study of the minerals and pores texture of the core samples. Moreover, EDS (Energy Dispersive X-Ray Spec-trometer), BET specific surface area, and Total Organic Carbon (TOC) measurements were performed to study various parameters and their possible effects on sealing capaci-ty of the samples. We found that shales have the relatively higher average sealing threshold pressure (Pc) than carbonate and sandstone samples. Based on these observations, shale formations could be considered as a promising caprock in terms of retarding scCO{sub 2} flow and leak-age into above formations. We hypothesized that certain characteristics of shales (e.g., 3 fine pore size, pore size distribution, high specific surface area, and strong physical chemical interaction between wetting phase and mineral surface) make them an effi-cient caprock for sealing super critical CO{sub 2}. We found that the displacement pressure at 10% mercury saturation could not be the ultimate representative of the sealing capacity of the rock sample. On the other hand, we believe that graphical method, introduced by Cranganu (2004) is a better indicator of the true sealing capacity. Based on statistical analysis of our samples from Oklahoma Panhandle we assessed the effects of each group of properties (textural and compositional) on maximum supercriti-cal CO{sub 2} height that can be hold by the caprock. We conclude that there is a relatively strong positive relationship (+.40 to +.69) between supercritical CO{sub 2} column height based on Pc and hard/ soft mineral content index (ratio of minerals with Mohs hardness more than 5 over minerals with Mohs hardness less than 5) in both shales and limestone samples. Average median pore rad

  2. Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty

    SciTech Connect (OSTI)

    Siddiqui, Afzal; Stadler, Michael; Marnay, Chris; Lai, Judy

    2010-06-01T23:59:59.000Z

    We take the perspective of a microgrid that has installed distribution energy resources (DER) in the form of distributed generation with combined heat and power applications. Given uncertain electricity and fuel prices, the microgrid minimizes its expected annual energy bill for various capacity sizes. In almost all cases, there is an economic and environmental advantage to using DER in conjunction with demand response (DR): the expected annualized energy bill is reduced by 9percent while CO2 emissions decline by 25percent. Furthermore, the microgrid's risk is diminished as DER may be deployed depending on prevailing market conditions and local demand. In order to test a policy measure that would place a weight on CO2 emissions, we use a multi-criteria objective function that minimizes a weighted average of expected costs and emissions. We find that greater emphasis on CO2 emissions has a beneficial environmental impact only if DR is available and enough reserve generation capacity exists. Finally, greater uncertainty results in higher expected costs and risk exposure, the effects of which may be mitigated by selecting a larger capacity.

  3. Property:PotentialHydropowerCapacity | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGeneration Jump to: navigation,PotentialHydropowerCapacity Jump to:

  4. Property:PotentialOffshoreWindCapacity | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGeneration Jump to:PotentialOffshoreWindCapacity Jump to: navigation, search

  5. Property:PotentialOnshoreWindCapacity | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGeneration Jump to:PotentialOffshoreWindCapacity Jump

  6. Property:Project Installed Capacity (MW) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation, search Property NameInstalled Capacity

  7. Photovoltaics effective capacity: Interim final report 2

    SciTech Connect (OSTI)

    Perez, R.; Seals, R. [State Univ. of New York, Albany, NY (United States). Atmospheric Sciences Research Center

    1997-11-01T23:59:59.000Z

    The authors provide solid evidence, based on more than 8 million data points, that regional photovoltaic (PV) effective capacity is largely unrelated to the region`s solar resource. They confirm, however, that effective capacity is strongly related to load-shape characteristics. The load-shape effective-capacity relationship appears to be valid for end-use loads as small as 100 kW, except possibly in the case of electrically heated buildings. This relationship was used as a tool to produce a US map of PV`s effective capacity. The regions of highest effective capacities include (1) the central US from the northern Great Plains to the metropolitan areas of Chicago and Detroit, down to the lower Mississippi Valley, (2) California and western Arizona, and (3) the northeast metropolitan corridor. The features of this map are considerably different from the traditional solar resource maps. They tend to reflect the socio-economic and climatic factors that indirectly drive PV`s effective capacity: e.g., commercial air-conditioning, little use of electric heat, and strong summer heat waves. The map provides a new and significant insight to a comprehensive valuation of the PV resource. The authors assembled preliminary evidence showing that end-use load type may be related to PV`s effective capacity. Highest effective capacities were found for (nonelectrically heated) office buildings, followed by hospitals. Lowest capacities were found for airports and residences. Many more data points are needed, however, to ascertain and characterize these preliminary findings.

  8. NMAC 17.9.569 Interconnection of Generating Facilities with a...

    Open Energy Info (EERE)

    Reference LibraryAdd to library Legal Document- RegulationRegulation: NMAC 17.9.569 Interconnection of Generating Facilities with a Rated Capacity Greater than 10 MWLegal...

  9. Distributed Generation with Heat Recovery and Storage

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    Capital costs 1 MW turbine 100 kW microturbine 250kW microturbine 200 kW reciprocating engine 500 kW

  10. Distributed Generation with Heat Recovery and Storage

    E-Print Network [OSTI]

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

    2005-01-01T23:59:59.000Z

    Capital costs 1 MW turbine 100 kW microturbine 250kW microturbine 200 kW reciprocating engine 500 kW

  11. Distributed Generation with Heat Recovery and Storage

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    Space-Heating Supply Hour Load (kW) Storage CHP NG Fig. 14Space-Heating Supply Load (kW) Storage Hour CHP NG Fig. 15Supply Load (kW) Storage CHP NG Hour Fig. 16 July Weekday

  12. DISTRIBUTED GENERATION USE AND CONTROL IN BUILDINGS

    E-Print Network [OSTI]

    Mease, Kenneth D.

    .g., fuel cells), energy conversion devices (e.g., absorption chillers), and energy storage devices (e were analyzed: 1. 1-250kW HTFC with 25TR Absorption Chiller 2. 4-60kW MTGs with 100TR Absorption Chiller 3. 1-125kW HTFC and 2-60kW MTGs with 63TR Absorption Chiller · Heating not considered

  13. Distributed Generation with Heat Recovery and Storage

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    tiles for thermal energy storage,” working paper, Colorado1991). Wallboard with latent heat storage for passive solarR. (2000). Thermal energy storage for space cooling, Pacific

  14. Distributed Generation with Heat Recovery and Storage

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    in floor tiles for thermal energy storage,” working paper,D. R. (2000). Thermal energy storage for space cooling,A simple model of thermal energy storage is developed as a

  15. Distributed Generation with Heat Recovery and Storage

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    both electricity and natural gas usage. Cooling electricitypurchases of natural gas for direct end usage. Hence, unlikeamount of natural gas purchased for direct end usage. As a

  16. Distributed Generation with Heat Recovery and Storage

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    Energy Consumption Survey (CBECS, see EIA 2003) are used toEIA) (2003). 2003 Commercial buildings energy consumption survey,

  17. Distributed Generation with Heat Recovery and Storage

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    Mercantile Education Office Fig. 3 January Electricity LoadEducation Small Large Office Small Large Table 5. PG&E Electricity and

  18. Distributed Generation with Heat Recovery and Storage

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    Average Bill Costs Emissions Energy Energy Savings (kUS$/a) Electricity Gas CostAverage Bill Costs Emissions Energy Energy Savings (kUS$/a) Electricity Gas CostAverage Bill Costs Emissions Energy Energy Savings (kUS$/a) Electricity Gas Cost

  19. Distributed Generation and Renewable Energy in

    E-Print Network [OSTI]

    (Propane) Chugach EA Anchorage, AK Flint Energies Reynolds, GA Delaware County EC Delhi, NY (Propane) TVA Chattanooga, TN P ? P P? H ? F Baldwin EMC Summerdale, AL ? DoD CERL-Logan Yosemite, CA (Propane) P DoD CERL-Logan Cherry Point, NC (Propane) P 1st Rochdale CG New York, NY First Energy, OH A P #12;Co-op Renewables

  20. Modeling distributed generation in the buildings sectors

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William Hirst HirstModelingAssessing the

  1. Regulatory Considerations for Developing Distributed Generation Projects

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015 < prevQuick Guide:U.N.JuneAs partofHearth &Watchdog

  2. Distributed Generation Financial Incentives and Programs Resources |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No53197E T ADRAFTJanuary 2004 | Department of

  3. Distributed Generation Operational Reliability and Availability Database,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No53197E T ADRAFTJanuary 2004 | Department

  4. Distributed Generation Operational Reliability, Executive Summary Report,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No53197E T ADRAFTJanuary 2004 | DepartmentJanuary 2004 |

  5. Other Distributed Generation Technologies | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia GreenThesource HistoryOsram

  6. Distributed Generation Technologies DGT | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE FacilityDimondale, Michigan:Emerling Farm <Site

  7. Regulatory Considerations for Developing Distributed Generation Projects

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18,new2004_v1.3_5.0.zipFlorida4Visitors Can

  8. Regulatory Considerations for Developing Distributed Generation Projects

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18,new2004_v1.3_5.0.zipFlorida4Visitors CanWebinar May 23, 2012 |

  9. A marketplace game with neither distribution costs nor distribution-capacity constraints

    E-Print Network [OSTI]

    Squicciarini, Anna Cinzia

    ). We model aggregate consumer demand to be linear in response to clearing price1, D() = Dmax(1-/max location based prices, for all consumers (demand aggregators or individual loads). Unlike [5], the retailer), and · consumers (electricity demand aggregators or individual loads). Consistent with an ISO, we assume

  10. Loss Reduction of Power Distribution Network Using Optimum Size and Location of Distributed

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    Generation Adnan Anwar, Student Member, IEEE, and H. R. Pota, Member, IEEE Abstract--Distributed generation be reduced significantly. Index Terms--Distributed generation, Optimum size, Optimum location, Power loss directly to utility distribution system. The insulation level of the machines may not synchronize

  11. On-Site Generation Simulation with EnergyPlus for Commercial Buildings

    E-Print Network [OSTI]

    Stadler, Michael; Firestone, Ryan; Curtil, Dimitri; Marnay, Chris

    2006-01-01T23:59:59.000Z

    L ABORATORY On-Site Generation Simulation with EnergyPlusemployer. On-Site Generation Simulation with EnergyPlus forin modeling distributed generation (DG), including DG with

  12. Feedback Capacity of the Compound Channel

    E-Print Network [OSTI]

    Shrader, Brooke E.

    In this work, we find the capacity of a compound finite-state channel (FSC) with time-invariant deterministic feedback. We consider the use of fixed length block codes over the compound channel. Our achievability result ...

  13. Inventories and capacity utilization in general equilibrium

    E-Print Network [OSTI]

    Trupkin, Danilo Rogelio

    2009-05-15T23:59:59.000Z

    The primary goal of this dissertation is to gain a better understanding, in thecontext of a dynamic stochastic general equilibrium framework, of the role of inventories and capacity utilization (of both capital and labor) and, in particular...

  14. Expandability, reversibility, and optimal capacity choice

    E-Print Network [OSTI]

    Dixit, Avinash K.

    1997-01-01T23:59:59.000Z

    We develop continuous-time models of capacity choice when demand fluctuates stochastically, and the firm's opportunities to expand or contract are limited. Specifically, we consider costs of investing or disinvesting that ...

  15. Developing High Capacity, Long Life Anodes

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

    more than 1000 mAhg with poor cyleability. * The formation of Sn x Co y C z and MO composite could lead to the increase in the capacity, reduce the amount of cobalt in the...

  16. California: Conducting Polymer Binder Boosts Storage Capacity...

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

    - 10:17am Addthis Working with Nextval, Inc., Lawrence Berkeley National Laboratory (LBNL) developed a Conducting Polymer Binder for high-capacity lithium-ion batteries. With a...

  17. Capacity Building Project with Howard University

    Broader source: Energy.gov [DOE]

    The purpose of this initiative is to build community capacity for public participation in environmental and energy decision making. The target communities are those impacted by U.S. Department of...

  18. Local entropy generation analysis

    SciTech Connect (OSTI)

    Drost, M.K.; White, M.D.

    1991-02-01T23:59:59.000Z

    Second law analysis techniques have been widely used to evaluate the sources of irreversibility in components and systems of components but the evaluation of local sources of irreversibility in thermal processes has received little attention. While analytical procedures for evaluating local entropy generation have been developed, applications have been limited to fluid flows with analytical solutions for the velocity and temperature fields. The analysis of local entropy generation can be used to evaluate more complicated flows by including entropy generation calculations in a computational fluid dynamics (CFD) code. The research documented in this report consists of incorporating local entropy generation calculations in an existing CFD code and then using the code to evaluate the distribution of thermodynamic losses in two applications: an impinging jet and a magnetic heat pump. 22 refs., 13 figs., 9 tabs.

  19. Measuring the capacity impacts of demand response

    SciTech Connect (OSTI)

    Earle, Robert; Kahn, Edward P.; Macan, Edo

    2009-07-15T23:59:59.000Z

    Critical peak pricing and peak time rebate programs offer benefits by increasing system reliability, and therefore, reducing capacity needs of the electric power system. These benefits, however, decrease substantially as the size of the programs grows relative to the system size. More flexible schemes for deployment of demand response can help address the decreasing returns to scale in capacity value, but more flexible demand response has decreasing returns to scale as well. (author)

  20. PVUSA: The value of photovoltaics in the distribution system. The Kerman Grid-Support Project

    SciTech Connect (OSTI)

    Wenger, H.J.; Hoff, T.E. [Pacific Energy Group, Walnut Creek, CA (United States)

    1995-05-01T23:59:59.000Z

    As part of the Photovoltaics for Utility Scale Applications Applications (PVUSA) Project Pacific Gas Electric Company (PG&E) built the Kerman 500-kW photovoltaic power plant. Located near the end of a distribution feeder in a rural section of Fresno County, the plant was not built so much to demonstrate PV technology, but to evaluate its interaction with the local distribution grid and quantify available nontraditional grid-support benefits (those other than energy and capacity). As demand for new generation began to languish in the 1980s, and siting and permitting of power plants and transmission lines became more involved, utilities began considering smaller, distributed power sources. Potential benefits include shorter construction lead time, less capital outlay, and better utilization of existing assets. The results of a PG&E study in 1990/1991 of the benefits from a PV system to the distribution grid prompted the PVUSA Project to construct a plant at Kerman. Completed in 1993, the plant is believed to be the first one specifically built to evaluate the multiple benefits to the grid of a strategically sited plant. Each of nine discrete benefits were evaluated in detail by first establishing the technical impact, then translating the results into present economic value. Benefits span the entire system from distribution feeder to the generation fleet. This work breaks new ground in evaluation of distributed resources, and suggests that resource planning practices be expanded to account for these non-traditional benefits.

  1. Broadcast Capacity in Multihop Wireless Networks Alireza Keshavarz-Haddad Vinay Ribeiro Rudolf Riedi

    E-Print Network [OSTI]

    Riedi, Rudolf H.

    Broadcast Capacity in Multihop Wireless Networks Alireza Keshavarz-Haddad Vinay Ribeiro Rudolf of multihop wireless networks which we define as the maximum rate at which broadcast packets can be generated of source nodes or the dimension of the network. 1. INTRODUCTION In wireless networks, broadcast plays

  2. Secret-Key Agreement Capacity over Reciprocal Fading Channels: A Separation Approach

    E-Print Network [OSTI]

    Khisti, Ashish

    1 Secret-Key Agreement Capacity over Reciprocal Fading Channels: A Separation Approach Ashish: akhisti@comm.utoronto.ca Abstract--Fundamental limits of secret-key agreement over reciprocal wireless source generation. The resulting secret-key involves contributions of both channel sequences and source

  3. 36 SEPTEMBER | 2012 WiNd TURbiNE CAPACiTY

    E-Print Network [OSTI]

    Kusiak, Andrew

    36 SEPTEMBER | 2012 WiNd TURbiNE CAPACiTY FRONTiER FROM SCAdA ThE WORld hAS SEEN A significant contributor to this growth. The wind turbine generated energy depends on the wind potential and the turbine of wind turbines. Supervi- sory control and data acquisition (SCADA) systems record wind turbine

  4. Capacity Constrained Supply Function Equilibrium Models of Electricity Markets: Stability, Non-

    E-Print Network [OSTI]

    California at Berkeley. University of

    Energy Regulation (POWER). POWER is a program of the University of California Energy Institute of California Energy Institute 2539 Channing Way Berkeley, California 94720-5180 www.ucei.org #12;Capacity, 15]. This approach, pioneered by Green and Newbery [5], reinterprets the probability distribution

  5. Optimum Capacity Allocation of DG Units Based on Unbalanced Three-phase Optimal Power Flow

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    . Index Terms--Planning for Smart Grid , Unbalanced TOPF, Swarm Intelligence, DG Capacity Allocation, Smart Grid Co- simulation Platform. I. INTRODUCTION The growth of energy demand is increasing rapidly distribution system planning is necessary. Adnan Anwar and H. R. Pota are with the School of Engineering

  6. Economics of electricity production and distribution in rural areas of Nepal

    SciTech Connect (OSTI)

    Rijal, K.; Bansal, N.K.; Grover, P.D. (Center for Energy Studies, Indian Inst. of Technology, Hauz Khas, New Delhi 110016 (IN))

    1990-01-01T23:59:59.000Z

    This paper aims at providing the comparative economics from a national perspective (economic analysis) and a users perspective (financial analysis) of low capacity (5-15 KW) electrical add-on systems and medium capacity (25-50 KW) electrical systems to provide electrical energy from various energy sources at three villages of Nepal, each from a different physiographic zone. In general, the increasing economic price of traditional energies coupled with deforestation in rural areas of developing countries and the increasing need for foreign exchange for import of fossil fuels, favors the judicial exploitation of renewable energy for electricity generation. The load factor is one of the most important factors that dictate the economic and financial supply price of electricity production and distribution. It is recommended that a detailed site-specific electricity demand analysis be carried out with appropriate end-use planning for decentralized rural electrification schemes.

  7. Biomass Power Generation Market - Global & U.S. Industry Analysis...

    Open Energy Info (EERE)

    the country. In terms of both installed capacity and power generation, the direct combustion segment accounted for the major market share in 2013 and is expected to continue to...

  8. Economic Development from New Generation and Transmission in...

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

    3,937,831 over the age of 16 (Census 2011b). 3 2 Project Scenario This analysis considers potential new wind and natural gas electricity generation capacity in Wyoming as well as...

  9. High-capacity hydrogen storage in lithium and sodium amidoboranes...

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

    capacity hydrogen storage in lithium and sodium amidoboranes. High-capacity hydrogen storage in lithium and sodium amidoboranes. Abstract: A substantial effort worldwide has been...

  10. Solid-State Hydrogen Storage: Storage Capacity,Thermodynamics...

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

    Hydrogen Storage: Storage Capacity,Thermodynamics and Kinetics. Solid-State Hydrogen Storage: Storage Capacity,Thermodynamics and Kinetics. Abstract: Solid-state reversible...

  11. Is there life in other markets? BPA explores preschedule capacity

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

    can diminish the federal hydropower system's capacity to balance supply and demand for power. The process allowed BPA to explore an untested capacity market this spring to acquire...

  12. Modeling-Thermo-electrochemistry, Capacity Degradation and Mechanics...

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

    Modeling-Thermo-electrochemistry, Capacity Degradation and Mechanics with SEI Layer Modeling-Thermo-electrochemistry, Capacity Degradation and Mechanics with SEI Layer 2011 DOE...

  13. RULES FOR CONGESTION MANAGEMENT EVALUATION OF AVAILABILITY OF CAPACITY AND

    E-Print Network [OSTI]

    RULES FOR CONGESTION MANAGEMENT EVALUATION OF AVAILABILITY OF CAPACITY AND POSSIBILITIES.............................................................12 4.4 Available trading capacity in the market

  14. HT Combinatorial Screening of Novel Materials for High Capacity...

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

    HT Combinatorial Screening of Novel Materials for High Capacity Hydrogen Storage HT Combinatorial Screening of Novel Materials for High Capacity Hydrogen Storage Presentation for...

  15. Expansion of Novolyte Capacity for Lithium Ion Electrolyte Production...

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

    15eswise2012p.pdf More Documents & Publications Expansion of Novolyte Capacity for Lithium Ion Electrolyte Production Expansion of Novolyte Capacity for Lithium Ion Electrolyte...

  16. Expansion of Novolyte Capacity for Lithium Ion Electrolyte Production...

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

    15eswise2011p.pdf More Documents & Publications Expansion of Novolyte Capacity for Lithium Ion Electrolyte Production Expansion of Novolyte Capacity for Lithium Ion Electrolyte...

  17. Employee-Driven Initiative Increases Treatment Capacity, Reduces...

    Energy Savers [EERE]

    Employee-Driven Initiative Increases Treatment Capacity, Reduces Clean Water Demands Employee-Driven Initiative Increases Treatment Capacity, Reduces Clean Water Demands June 30,...

  18. Assessment of the Adequacy of Natural Gas Pipeline Capacity in...

    Office of Environmental Management (EM)

    Assessment of the Adequacy of Natural Gas Pipeline Capacity in the Northeast United States - November 2013 Assessment of the Adequacy of Natural Gas Pipeline Capacity in the...

  19. Thermoelectric Generators 1. Thermoelectric generator

    E-Print Network [OSTI]

    Lee, Ho Sung

    1 Thermoelectric Generators HoSung Lee 1. Thermoelectric generator 1.1 Basic Equations In 1821 effects are called the thermoelectric effects. The mechanisms of thermoelectricity were not understood. Cold Hot I - -- - - - - -- Figure 1 Electron concentration in a thermoelectric material. #12;2 A large

  20. FINAL STAFF PAPER A New Generation of Combined Heat

    E-Print Network [OSTI]

    , distributed generation #12;iv #12;v TABLE OF CONTENTS Page Acknowledgements FINAL STAFF PAPER A New Generation of Combined Heat and Power: Policy Planning. Neff , Bryan. A New Generation of Combined Heat and Power: Policy Planning for 2030. 2012. California