Sample records for distributed energy scale

  1. Distributed-scale Renewable Energy Projects (Smaller than 10...

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

    Most Federal distributed-scale renewable energy projects (smaller than 10 MWs) can be broken down into nine steps. The first two fall within the planning phase, while the remaining...

  2. Scaling Distributed Energy Storage for Grid Peak Reduction

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    large-scale centralized energy storage systems at strategic points in the grid, such as at power plants. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. e-Energy'13, May 21­24, 2013, Berkeley, California, USA. Copyright 2013 ACM 978

  3. Effects of large-scale distribution of wind energy in and around Europe

    E-Print Network [OSTI]

    Effects of large-scale distribution of wind energy in and around Europe Gregor Giebel Niels Gylling energy in Europe? · Distribution of wind energy all over Europe leads to smoothing of the wind power energy can easily supply up to ~20% of the European demand. At this stage, · Less than 13% of the wind

  4. FEMP Offers Training on Distributed-Scale Renewable Energy Projects...

    Energy Savers [EERE]

    be able to: Plan facility renewable energy projects using available screening tools for renewable energy resources, savings to investment ratio analysis, and feasibility studies...

  5. Energy Scaling Laws for Distributed Inference in Random Fusion Networks

    E-Print Network [OSTI]

    Yukich, Joseph E.

    the minimum spanning tree, and above by a suboptimal policy, referred to as Data Fusion for Markov Random, the policy with the minimum average energy consumption is bounded below by the average energy of fusion along models, Eu- clidean random graphs, stochastic geometry and data fusion. I. INTRODUCTION WE consider

  6. ITP Industrial Distributed Energy: Distributed Energy Program...

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

    ITP Industrial Distributed Energy: Distributed Energy Program Project Profile: Verizon Central Office Building ITP Industrial Distributed Energy: Distributed Energy Program Project...

  7. Opportunities for Energy Crop Production Based on Subfield Scale Distribution of Profitability

    SciTech Connect (OSTI)

    Ian Bonner; Kara Cafferty; David Muth Jr.; Mark Tomer

    2014-10-01T23:59:59.000Z

    Incorporation of dedicated herbaceous energy crops into row crop landscapes is a promising means to supply an expanding biofuel industry while increasing biomass yields, benefiting soil and water quality, and increasing biodiversity. Despite these positive traits energy crops remain largely unaccepted due to concerns over their practicality and cost of implementation. This paper presents a case study on Hardin County, Iowa to demonstrate how subfield decision making can be used to target candidate areas for conversion to energy crop production. The strategy presented integrates switchgrass (Panicum virgatum L.) into subfield landscape positions where corn (Zea mays L.) grain is modeled to operate at a net economic loss. The results of this analysis show that switchgrass integration has the potential to increase sustainable biomass production from 48 to 99% (depending on the rigor of conservation practices applied to corn stover collection) while also improving field level profitability. Candidate land area is highly sensitive to grain price (0.18 to 0.26 US$ kg-1) and dependent on the acceptable net profit for corn production (ranging from 0 to -1,000 US$ ha-1). This work presents the case that switchgrass can be economically implemented into row crop production landscapes when management decisions are applied at a subfield scale and compete against areas of the field operating at a negative net profit.

  8. Reducing Energy Costs in Internet-Scale Distributed Systems Using Load Shifting

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    -response technique where the system temporarily reduces its energy usage in response to pricing signals from a smart offline algorithm can achieve 12% energy cost savings for time-of-use electricity pricing, even when only-efficiency techniques. These include the availability of novel electricity pricing models to encourage greater energy

  9. About Industrial Distributed Energy

    Broader source: Energy.gov [DOE]

    The Advanced Manufacturing Office's (AMO's) Industrial Distributed Energy activities build on the success of predecessor DOE programs on distributed energy and combined heat and power (CHP) while...

  10. FEMP Offers Training on Distributed-Scale Renewable Energy Projects: From

    Office of Environmental Management (EM)

    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 1112011AT&T,OfficeEnd of Year 2010SaltInstrumentation andFE DOCKETPlanning to Project

  11. Sandia Energy - Distributed Energy Resources

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

    volatile than ever before, making frequency regulation, voltage regulation, and power balancing operations more strenuous for grid operators. A distributed energy storage unit...

  12. Visualization of Large-Scale Distributed Data

    E-Print Network [OSTI]

    Johnson, Andrew

    that are now considered the "lenses" for examining large-scale data. THE LARGE-SCALE DATA VISUALIZATIONVisualization of Large-Scale Distributed Data Jason Leigh1 , Andrew Johnson1 , Luc Renambot1 representation of data and the interactive manipulation and querying of the visualization. Large-scale data

  13. Distributed Wind Energy in Idaho

    SciTech Connect (OSTI)

    Gardner, John; Ferguson, James; Ahmed-Zaid, Said; Johnson, Kathryn; Haynes, Todd; Bennett, Keith

    2009-01-31T23:59:59.000Z

    Project Objective: This project is a research and development program aimed at furthering distributed wind technology. In particular, this project addresses some of the barriers to distributed wind energy utilization in Idaho. Background: At its core, the technological challenge inherent in Wind Energy is the transformation of a highly variable form of energy to one which is compatible with the commercial power grid or another useful application. A major economic barrier to the success of distributed wind technology is the relatively high capital investment (and related long payback periods) associated with wind turbines. This project will carry out fundamental research and technology development to address both the technological and economic barriers. � Active drive train control holds the potential to improve the overall efficiency of a turbine system by allowing variable speed turbine operation while ensuring a tight control of generator shaft speed, thus greatly simplifying power conditioning. � Recent blade aerodynamic advancements have been focused on large, utility-scale wind turbine generators (WTGs) as opposed to smaller WTGs designed for distributed generation. Because of Reynolds Number considerations, blade designs do not scale well. Blades which are aerodynamically optimized for distributed-scale WTGs can potentially reduce the cost of electricity by increasing shaft-torque in a given wind speed. � Grid-connected electric generators typically operate at a fixed speed. If a generator were able to economically operate at multiple speeds, it could potentially convert more of the wind�s energy to electricity, thus reducing the cost of electricity. This research directly supports the stated goal of the Wind and Hydropower Technologies Program for Distributed Wind Energy Technology: By 2007, reduce the cost of electricity from distributed wind systems to 10 to 15 cents/kWh in Class 3 wind resources, the same level that is currently achievable in Class 5 winds.

  14. Network Coding for Large Scale Content Distribution

    E-Print Network [OSTI]

    Keinan, Alon

    Network Coding for Large Scale Content Distribution IEEE Infocom 2005 Christos Gkantsidis College propose a new scheme for content distribution of large files that is based on network coding. With network coding, each node of the distribution network is able to generate and transmit encoded blocks

  15. 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...

  16. Distributed Energy Resources for Carbon Emissions Mitigation

    E-Print Network [OSTI]

    Firestone, Ryan; Marnay, Chris

    2008-01-01T23:59:59.000Z

    Distributed Energy Resource Technology Characterizations. ”ABORATORY Distributed Energy Resources for Carbon Emissions5128 Distributed Energy Resources for Carbon Emissions

  17. Issue Brief: A Survey of State Policies to Support Utility-Scale and Distributed-Energy Storage (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2014-09-01T23:59:59.000Z

    This document summarizes proposed and enacted legislation and activities related to energy storage for nine states, which are presented alphabetically. These states were selected to provide a high-level view of various energy storage efforts taking place across the United States.

  18. Distributed Energy Alternatives to Electrical

    E-Print Network [OSTI]

    Pennycook, Steve

    Distributed Energy Alternatives to Electrical Distribution Grid Expansion in Consolidated Edison.www.gastechnology.org 2 #12;Distributed Energy Alternatives to Electrical Distribution Grid Expansion in Consolidated-Battelle for the Department of Energy Subcontract Number: 4000052360 GTI Project Number: 20441 New York State Energy Research

  19. Distributed Energy Resources for Carbon Emissions Mitigation

    E-Print Network [OSTI]

    Firestone, Ryan; Marnay, Chris

    2008-01-01T23:59:59.000Z

    and Energy Reliability, Distribution System Integrationand Energy Reliability, Distribution System Integration

  20. Large Scale Periodicity in Redshift Distribution

    E-Print Network [OSTI]

    K. Bajan; M. Biernacka; P. Flin; W. Godlowski; V. Pervushin; A. Zorin

    2004-08-30T23:59:59.000Z

    We review the previous studies of galaxies and quasar redshifts discretisation. We present also the investigations of the large scale periodicity, detected by pencil--beam observations, which revealed 128 (1/h) Mpc period, afterwards confirmed with supercluster studies. We present the theoretical possibility of obtaining such a periodicity using a toy-model. We solved the Kepler problem, i.e. the equation of motion of a particle with null energy moving in the uniform, expanding Universe, decribed by FLRW metrics. It is possible to obtain theoretically the separation between large scale structures similar to the observed one.

  1. Challenges in large scale distributed computing: bioinformatics.

    SciTech Connect (OSTI)

    Disz, T.; Kubal, M.; Olson, R.; Overbeek, R.; Stevens, R.; Mathematics and Computer Science; Univ. of Chicago; The Fellowship for the Interpretation of Genomes (FIG)

    2005-01-01T23:59:59.000Z

    The amount of genomic data available for study is increasing at a rate similar to that of Moore's law. This deluge of data is challenging bioinformaticians to develop newer, faster and better algorithms for analysis and examination of this data. The growing availability of large scale computing grids coupled with high-performance networking is challenging computer scientists to develop better, faster methods of exploiting parallelism in these biological computations and deploying them across computing grids. In this paper, we describe two computations that are required to be run frequently and which require large amounts of computing resource to complete in a reasonable time. The data for these computations are very large and the sequential computational time can exceed thousands of hours. We show the importance and relevance of these computations, the nature of the data and parallelism and we show how we are meeting the challenge of efficiently distributing and managing these computations in the SEED project.

  2. Sandia Energy - Distributed Energy Resources

    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 for4,645 3,625 1,006 492 742EnergyOnItemResearch > TheNuclear Press ReleasesInApplied &ClimateContact Us

  3. Scaled Solar | 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 IRaghuraji Agro Industries Pvt Ltd Jump to:RoscommonSBYSaltonSprings,Sardinia,SawasdeeSayreville, NewScaled

  4. Distributed Energy | Department of Energy

    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 1,006 492 742 33Frequently20,000 Russian NuclearandJunetrack graphics4Dimitri Kusnezov - Chief Scientist

  5. Distributed Energy Resource Program

    Broader source: Energy.gov [DOE]

    Once a participating utility satisfies the minimum 2% requirement, the utility may invest in renewable energy facilities between 1 MW and 10 MW with a cumulative installed capacity equal to one p...

  6. A Distribution Oblivious Scalable Approach for Large-Scale Scientific...

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

    Distribution Oblivious Scalable Approach for Large-Scale Scientific Data Processing June 12, 2013 Problem Statement: Runtimes of scientific data processing (SDP) methods vary...

  7. Small-Scale Energy Loan Program

    Broader source: Energy.gov [DOE]

    The Oregon Small-Scale Energy Loan Program (SELP) - created in 1981 after voters approved a constitutional amendment authorizing the sale of bonds to finance small-scale, local energy projects - is...

  8. Analysis of the Technical and Economic Potential for Mid-Scale Distributed Wind: December 2007 - October 31, 2008

    SciTech Connect (OSTI)

    Kwartin, R.; Wolfrum, A.; Granfield, K.; Kagel, A.; Appleton, A.

    2008-12-01T23:59:59.000Z

    This report examines the status, restrainers, drivers, and estimated development potential of mid-scale (10 kW - 5000 kW) distributed wind energy projects.

  9. Non-equilibrium vibrational and electron energy distributions functions in atmospheric nitrogen ns pulsed discharges and \\mus post-discharges: the role of electron molecule vibrational excitation scaling-laws

    E-Print Network [OSTI]

    Colonna, Gianpiero; Celiberto, Roberto; Capitelli, Mario; Tennyson, Jonathan

    2015-01-01T23:59:59.000Z

    The formation of the electron energy distribution function in nanosecond atmospheric nitrogen discharges is investigated by means of self-consistent solution of the chemical kinetics and the Boltzmann equation for free electrons. The post-discharge phase is followed to few microseconds. The model is formulated in order to investigate the role of the cross section set, focusing on the vibrational-excitation by electron-impact through resonant channel. Four different cross section sets are considered, one based on internally consistent vibrational-excitation calculations which extend to the whole vibrational ladder, and the others obtained by applying commonly used scaling-laws.

  10. 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.”

  11. Renewable Energy: Utility-Scale Policies and Programs | Department...

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

    Policies & Programs Renewable Energy: Utility-Scale Policies and Programs Renewable Energy: Utility-Scale Policies and Programs Utility-scale renewable energy projects are...

  12. Large-Scale Renewable Energy Guide Webinar

    Broader source: Energy.gov [DOE]

    Webinar introduces the “Large Scale Renewable Energy Guide." The webinar will provide an overview of this important FEMP guide, which describes FEMP's approach to large-scale renewable energy projects and provides guidance to Federal agencies and the private sector on how to develop a common process for large-scale renewable projects.

  13. Load Distribution in Large Scale Network Monitoring Infrastructures

    E-Print Network [OSTI]

    Politècnica de Catalunya, Universitat

    Load Distribution in Large Scale Network Monitoring Infrastructures Josep Sanju`as-Cuxart, Pere to build a scalable, distributed passive network mon- itoring system that can run several arbitrary the principal research challenges behind building a distributed network monitoring system to support

  14. Distributed Wind Energy Workshop | Department of Energy

    Energy Savers [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 directed off Energy.gov. Are you0andEnergyGlobal Nuclearof aDepartment-ofBenefits »DiscoverDistributed

  15. Jet Energy Scale March 31, 2009

    E-Print Network [OSTI]

    Jet Energy Scale March 31, 2009 #12;Jet energy vs parton energy Eta-dependent corrections: even scale: conversion from calo measurement to underlying jet Underlying event and out-of-cone corrections region, near-100% efficiency ·Excellent momentum measurement #12;Jet clustering · Jets are formed

  16. How to calibrate the jet energy scale?

    SciTech Connect (OSTI)

    Hatakeyama, K.; /Rockefeller U.

    2006-01-01T23:59:59.000Z

    Top quarks dominantly decay into b-quark jets and W bosons, and the W bosons often decay into jets, thus the precise determination of the jet energy scale is crucial in measurements of many top quark properties. I present the strategies used by the CDF and D0 collaborations to determine the jet energy scale. The various cross checks performed to verify the determined jet energy scale and evaluate its systematic uncertainty are also discussed.

  17. Small-Scale Renewable Energy Incentive Program

    Broader source: Energy.gov [DOE]

    Vermont's Small Scale Renewable Energy Incentive Program (SSREIP), initiated in June 2003, provides funding for new solar water heating, solar electric (photovoltaic), modern wood pellet heating,...

  18. Commercial-Scale Renewable-Energy Grants

    Broader source: Energy.gov [DOE]

    The Rhode Island Commerce Corporation (Commerce RI) seeks to fund commercial scale renewable energy projects to generate electricity for onsite consumption. Commerce RI provides incentives for...

  19. Degree-distribution stability of scale-free networks

    E-Print Network [OSTI]

    Zhenting Hou; Xiangxing Kong; Dinghua Shi; Guanrong Chen

    2008-05-09T23:59:59.000Z

    Based on the concept and techniques of first-passage probability in Markov chain theory, this letter provides a rigorous proof for the existence of the steady-state degree distribution of the scale-free network generated by the Barabasi-Albert (BA) model, and mathematically re-derives the exact analytic formulas of the distribution. The approach developed here is quite general, applicable to many other scale-free types of complex networks.

  20. Enhanced distributed energy resource system

    DOE Patents [OSTI]

    Atcitty, Stanley (Albuquerque, NM); Clark, Nancy H. (Corrales, NM); Boyes, John D. (Albuquerque, NM); Ranade, Satishkumar J. (Las Cruces, NM)

    2007-07-03T23:59:59.000Z

    A power transmission system including a direct current power source electrically connected to a conversion device for converting direct current into alternating current, a conversion device connected to a power distribution system through a junction, an energy storage device capable of producing direct current connected to a converter, where the converter, such as an insulated gate bipolar transistor, converts direct current from an energy storage device into alternating current and supplies the current to the junction and subsequently to the power distribution system. A microprocessor controller, connected to a sampling and feedback module and the converter, determines when the current load is higher than a set threshold value, requiring triggering of the converter to supply supplemental current to the power transmission system.

  1. The urban design of distributed energy resources

    E-Print Network [OSTI]

    Sheehan, Travis (Travis P.)

    2012-01-01T23:59:59.000Z

    Distributed energy resources (DERs) are a considerable research focus for cities to reach emissions reduction goals and meet growing energy demand. DERs, consisting of local power plants and distribution infrastructure, ...

  2. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 27, NO. 7, SEPTEMBER 2009 1203 Energy Scaling Laws for Distributed Inference in

    E-Print Network [OSTI]

    Tong, Lang

    spanning tree, and above by a suboptimal policy, referred to as Data Fusion for Markov Random Fields (DFMRF with the minimum average energy consumption is bounded below by the average energy of fusion along the minimum, Eu- clidean random graphs, stochastic geometry and data fusion. I. INTRODUCTION WE CONSIDER

  3. Distributed Energy Technology Simulator: Microturbine Demonstration...

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

    Simulator: Microturbine Demonstration, October 2001 Distributed Energy Technology Simulator: Microturbine Demonstration, October 2001 This 2001 paper discusses the National Rural...

  4. Distributed Energy Technology Characterization (Desiccant Technologies...

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

    Characterization (Desiccant Technologies), January 2004 Distributed Energy Technology Characterization (Desiccant Technologies), January 2004 The purpose of this report is to...

  5. Sandia Energy - Distribution Grid Integration

    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 Scienceand RequirementsCoatings Initiated at PNNL's SequimReactors ToDecisionDistribution Grid

  6. Distribution Workshop | 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:Revised Finding of No53197E T ADRAFTJanuary 2004 |Distribution Workshop

  7. Tribal Renewable Energy Advanced Course: Facility Scale Project...

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

    Facility Scale Project Development Tribal Renewable Energy Advanced Course: Facility Scale Project Development Watch the DOE Office of Indian Energy renewable energy course...

  8. Distributed energy resources at naval base ventura county building 1512

    E-Print Network [OSTI]

    Bailey, Owen C.; Marnay, Chris

    2004-01-01T23:59:59.000Z

    by a DER system. Distributed Energy Resources at Naval BaseFebruary 2003. “Distributed Energy Resources in Practice: A2004. “Distributed Energy Resources Customer Adoption Model

  9. Ion Energy Distribution in Collisionless and Collisional, Capacitive RF Sheath

    E-Print Network [OSTI]

    Wang, Ying

    2012-01-01T23:59:59.000Z

    Sheath 3 Model of Collisionless Ion Energy Distributions 3.1Ion Energy Distributions in Collisionless and Collisional,Fall 2012 Ion Energy Distributions in Collisionless and

  10. Distributed energy resources at naval base ventura county building 1512

    E-Print Network [OSTI]

    Bailey, Owen C.; Marnay, Chris

    2004-01-01T23:59:59.000Z

    system. Distributed Energy Resources at Naval Base Ventura2003. “Distributed Energy Resources in Practice: A Case2004. “Distributed Energy Resources Customer Adoption Model

  11. Voltage Impacts of Utility-Scale Distributed Wind

    SciTech Connect (OSTI)

    Allen, A.

    2014-09-01T23:59:59.000Z

    Although most utility-scale wind turbines in the United States are added at the transmission level in large wind power plants, distributed wind power offers an alternative that could increase the overall wind power penetration without the need for additional transmission. This report examines the distribution feeder-level voltage issues that can arise when adding utility-scale wind turbines to the distribution system. Four of the Pacific Northwest National Laboratory taxonomy feeders were examined in detail to study the voltage issues associated with adding wind turbines at different distances from the sub-station. General rules relating feeder resistance up to the point of turbine interconnection to the expected maximum voltage change levels were developed. Additional analysis examined line and transformer overvoltage conditions.

  12. Community- and Facility-Scale Tribal Renewable Energy Project...

    Office of Environmental Management (EM)

    Community- and Facility-Scale Tribal Renewable Energy Project Development and Finance Workshop: Colorado Community- and Facility-Scale Tribal Renewable Energy Project Development...

  13. Sandia Energy - Computational Fluid Dynamics & Large-Scale Uncertainty...

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

    & Large-Scale Uncertainty Quantification for Wind Energy Home Highlights - HPC Computational Fluid Dynamics & Large-Scale Uncertainty Quantification for Wind Energy Previous Next...

  14. Enabling Mass-Scale Financing for Federal Energy, Water, and...

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

    Enabling Mass-Scale Financing for Federal Energy, Water, and Sustainability Projects Enabling Mass-Scale Financing for Federal Energy, Water, and Sustainability Projects...

  15. Tribal Renewable Energy Advanced Course: Commercial Scale Project...

    Energy Savers [EERE]

    Commercial Scale Project Development Tribal Renewable Energy Advanced Course: Commercial Scale Project Development Watch the DOE Office of Indian Energy advanced course...

  16. Tribal Renewable Energy Advanced Course: Community Scale Project...

    Energy Savers [EERE]

    Tribal Renewable Energy Advanced Course: Community Scale Project Development Tribal Renewable Energy Advanced Course: Community Scale Project Development Watch the DOE Office of...

  17. Utility Scale Renewable Energy Development Near DOD Installations...

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

    Scale Renewable Energy Development Near DOD Installations: Making the Case for Land Use Compatitbility Utility Scale Renewable Energy Development Near DOD Installations: Making the...

  18. Building Scale vs. Community Scale Net-Zero Energy Performance

    SciTech Connect (OSTI)

    Katipamula, Srinivas; Fernandez, Nicholas; Brambley, Michael R.; Reddy, T. A.

    2010-06-30T23:59:59.000Z

    Many government and industry organizations are focusing building energy-efficiency goals around producing individual net-zero buildings (nZEBs), using photovoltaic (PV) technology to provide on-site renewable energy after substantially improving the energy efficiency of the buildings themselves. Seeking net-zero energy (NZE) at the community scale instead introduces the possibility of using a wider range of renewable energy technologies, such as solar-thermal electricity generation, solar-assisted heating/cooling systems, and wind energy, economically. This paper reports results of a study comparing NZE communities to communities consisting of individual nZEBs. Five scenarios are examined: 1) base case – a community of nZEBs with roof mounted PV systems; 2) NZE communities served by wind turbines on leased land; 3) NZE communities served by wind turbines on owned land; 4) communities served by solar-thermal electric generation; and 5) communities served by photovoltaic farms. All buildings are assumed to be highly efficient, e.g., 70% more efficient than current practice. The scenarios are analyzed for two climate locations (Chicago and Phoenix), and the levelized costs of electricity for the scenarios are compared. The results show that even for the climate in the U.S. most favorable to PV (Phoenix), more cost-effective approaches are available to achieving NZE than the conventional building-level approach (rooftop PV with aggressive building efficiency improvements). The paper shows that by expanding the measurement boundary for NZE, a community can take advantage of economies of scale, achieving improved economics while reaching the same overall energy-performance objective.

  19. Sandia National Laboratories: European Distributed Energies Research...

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

    SMART Grid, Solar Sandia National Laboratories, the Electric Power Research Institute (EPRI) and European Distributed Energies Research Laboratories (DERlab) have organized a...

  20. Sandia National Laboratories: renewable energy and distributed...

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

    SMART Grid, Solar Sandia National Laboratories, the Electric Power Research Institute (EPRI) and European Distributed Energies Research Laboratories (DERlab) have organized a...

  1. Distributed Energy Systems Integration Group (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-10-01T23:59:59.000Z

    Factsheet developed to describe the activites of the Distributed Energy Systems Integration Group within NREL's Electricity, Resources, and Buildings Systems Integration center.

  2. Fact Sheet: Grid-Scale Flywheel Energy Storage Plant | Department...

    Office of Environmental Management (EM)

    Fact Sheet: Grid-Scale Flywheel Energy Storage Plant Fact Sheet: Grid-Scale Flywheel Energy Storage Plant Beacon Power will design, build, and operate a utility-scale 20 MW...

  3. Physical Modeling of Scaled Water Distribution System Networks.

    SciTech Connect (OSTI)

    O'Hern, Timothy J.; Hammond, Glenn Edward; Orear, Leslie ,; van Bloemen Waanders, Bart G.; Paul Molina; Ross Johnson

    2005-10-01T23:59:59.000Z

    Threats to water distribution systems include release of contaminants and Denial of Service (DoS) attacks. A better understanding, and validated computational models, of the flow in water distribution systems would enable determination of sensor placement in real water distribution networks, allow source identification, and guide mitigation/minimization efforts. Validation data are needed to evaluate numerical models of network operations. Some data can be acquired in real-world tests, but these are limited by 1) unknown demand, 2) lack of repeatability, 3) too many sources of uncertainty (demand, friction factors, etc.), and 4) expense. In addition, real-world tests have limited numbers of network access points. A scale-model water distribution system was fabricated, and validation data were acquired over a range of flow (demand) conditions. Standard operating variables included system layout, demand at various nodes in the system, and pressure drop across various pipe sections. In addition, the location of contaminant (salt or dye) introduction was varied. Measurements of pressure, flowrate, and concentration at a large number of points, and overall visualization of dye transport through the flow network were completed. Scale-up issues that that were incorporated in the experiment design include Reynolds number, pressure drop across nodes, and pipe friction and roughness. The scale was chosen to be 20:1, so the 10 inch main was modeled with a 0.5 inch pipe in the physical model. Controlled validation tracer tests were run to provide validation to flow and transport models, especially of the degree of mixing at pipe junctions. Results of the pipe mixing experiments showed large deviations from predicted behavior and these have a large impact on standard network operations models.3

  4. Use of dual plane PIV to assess scale-by-scale energy budgets in wall turbulence

    E-Print Network [OSTI]

    Marusic, Ivan

    Use of dual plane PIV to assess scale-by-scale energy budgets in wall turbulence N Saikrishnan1-layer, the buffer region, the logarithmic region and the outer region. In the space of scales, turbulent energy is produced at the large scales and transferred to smaller scales, finally dissipating in the form of heat

  5. Autonomie Large Scale Deployment | 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: The FutureComments fromof Energy Automation Worldof EnergyTAGS,Large Scale

  6. Probability distribution of the vacuum energy density

    SciTech Connect (OSTI)

    Duplancic, Goran; Stefancic, Hrvoje [Theoretical Physics Division, Rudjer Boskovic Institute, P.O. Box 180, HR-10002 Zagreb (Croatia); Glavan, Drazen [Department of Physics, Faculty of Science, University of Zagreb, P.O. Box 331, HR-10002 Zagreb (Croatia)

    2010-12-15T23:59:59.000Z

    As the vacuum state of a quantum field is not an eigenstate of the Hamiltonian density, the vacuum energy density can be represented as a random variable. We present an analytical calculation of the probability distribution of the vacuum energy density for real and complex massless scalar fields in Minkowski space. The obtained probability distributions are broad and the vacuum expectation value of the Hamiltonian density is not fully representative of the vacuum energy density.

  7. Modeling of customer adoption of distributed energy resources

    E-Print Network [OSTI]

    2001-01-01T23:59:59.000Z

    of Dispersed Energy Resources Deployment. Berkeley, LawrenceAdoption of Distributed Energy Resources Ozbek, A. 2001.Adoption of Distributed Energy Resources Figure 39. Figure

  8. 2014 Commercial-Scale Workshop | Department of Energy

    Energy Savers [EERE]

    of Indian Energy hosted a Commercial-Scale Renewable Energy Project Development and Finance Workshop July 29-31, 2014, at the National Renewable Energy Laboratory in Golden,...

  9. Community- and Facility-Scale Tribal Renewable Energy Project...

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

    Energy's Community- and Facility-Scale Tribal Renewable Energy Project Development and Finance Workshop, which will be held September 18-20 at the National Renewable Energy...

  10. Distribution System Voltage Regulation by Distributed Energy Resources

    SciTech Connect (OSTI)

    Ceylan, Oguzhan [ORNL; Liu, Guodong [ORNL; Xu, Yan [ORNL; Tomsovic, Kevin [University of Tennessee, Knoxville (UTK)

    2014-01-01T23:59:59.000Z

    This paper proposes a control method to regulate voltages in 3 phase unbalanced electrical distribution systems. A constrained optimization problem to minimize voltage deviations and maximize distributed energy resource (DER) active power output is solved by harmony search algorithm. IEEE 13 Bus Distribution Test System was modified to test three different cases: a) only voltage regulator controlled system b) only DER controlled system and c) both voltage regulator and DER controlled system. The simulation results show that systems with both voltage regulators and DER control provide better voltage profile.

  11. Large-Scale Renewable Energy Projects (Larger than 10 MWs) |...

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

    Large-Scale Renewable Energy Projects (Larger than 10 MWs) Large-Scale Renewable Energy Projects (Larger than 10 MWs) Renewable energy projects larger than 10 megawatts (MW) are...

  12. Modeling of Customer Adoption of Distributed Energy Resources

    E-Print Network [OSTI]

    Modeling of Customer Adoption of Distributed Energy Resources CALIFORNIA ENERGY COMMISSION Reliability Technology Solutions Modeling of Customer Adoption of Distributed Energy Resources Prepared the consequences. #12;#12;Modeling of Customer Adoption of Distributed Energy Resources iii Table of Contents

  13. Resilient Core Networks for Energy Distribution

    SciTech Connect (OSTI)

    Kuntze, Nicolai; Rudolph, Carsten; Leivesley, Sally; Manz, David O.; Endicott-Popovsky, Barbara E.

    2014-07-28T23:59:59.000Z

    Abstract—Substations and their control are crucial for the availability of electricity in today’s energy distribution. Ad- vanced energy grids with Distributed Energy Resources require higher complexity in substations, distributed functionality and communication between devices inside substations and between substations. Also, substations include more and more intelligent devices and ICT based systems. All these devices are connected to other systems by different types of communication links or are situated in uncontrolled environments. Therefore, the risk of ICT based attacks on energy grids is growing. Consequently, security measures to counter these risks need to be an intrinsic part of energy grids. This paper introduces the concept of a Resilient Core Network to interconnected substations. This core network provides essen- tial security features, enables fast detection of attacks and allows for a distributed and autonomous mitigation of ICT based risks.

  14. Energy Balanced Chain in Distributed Sensor Networks

    E-Print Network [OSTI]

    Howitt, Ivan

    Energy Balanced Chain in Distributed Sensor Networks Ivan Howitt Electrical & Computer Engineering because of their higher traffic. This paper suggests an energy balanced chain (EBC) which can efficiently the energy balance optimization problem in terms of the segmentation space. By adjusting the transmission

  15. Fractal Approach to Large-Scale Galaxy Distribution

    E-Print Network [OSTI]

    Yurij Baryshev; Pekka Teerikorpi

    2005-05-10T23:59:59.000Z

    We present a review of the history and the present state of the fractal approach to the large-scale distribution of galaxies. Angular correlation function was used as a general instrument for the structure analysis. It was realized later that a normalization condition for the reduced correlation function estimator results in distorted values for both R_{hom} and fractal dimension D. Moreover, according to a theorem on projections of fractals, galaxy angular catalogues can not be used for detecting a structure with the fractal dimension D>2. For this 3-d maps are required, and indeed modern extensive redshift-based 3-d maps have revealed the ``hidden'' fractal dimension of about 2, and have confirmed superclustering at scales even up to 500 Mpc (e.g. the Sloan Great Wall). On scales, where the fractal analysis is possible in completely embedded spheres, a power--law density field has been found. The fractal dimension D =2.2 +- 0.2 was directly obtained from 3-d maps and R_{hom} has expanded from 10 Mpc to scales approaching 100 Mpc. In concordance with the 3-d map results, modern all sky galaxy counts in the interval 10^m - 15^m give a 0.44m-law which corresponds to D=2.2 within a radius of 100h^{-1}_{100} Mpc. We emphasize that the fractal mass--radius law of galaxy clustering has become a key phenomenon in observational cosmology.

  16. Sandia Energy - Distribution Grid Integration

    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:Energy: Grid Integration Redefining What's PossibleRadiation Protection245C Unlimited ReleaseWelcomeLongEnergy StorageB.

  17. Distribution Workshop | Department of Energy

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

    vehicle charging and electrolyzers Energy storage Building and industrial loads and demand response Smart grid sensing, automation, and microgrids Informed efforts in...

  18. Introduction to Small-Scale Wind Energy Systems (Including RETScreen...

    Open Energy Info (EERE)

    Introduction to Small-Scale Wind Energy Systems (Including RETScreen Case Study) (Webinar) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Introduction to Small-Scale...

  19. Large Scale GSHP as Alternative Energy for American Farmers Geothermal...

    Open Energy Info (EERE)

    Scale GSHP as Alternative Energy for American Farmers Geothermal Project Jump to: navigation, search Last modified on July 22, 2011. Project Title Large Scale GSHP as Alternative...

  20. 2013 Community- and Facility-Scale Tribal Renewable Energy Project...

    Office of Environmental Management (EM)

    2013 Community- and Facility-Scale Tribal Renewable Energy Project Development and Finance Workshop Presentations and Agenda 2013 Community- and Facility-Scale Tribal Renewable...

  1. Commercial-Scale Renewable Energy Project Development Workshop...

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

    Colorado Community- and Facility-Scale Tribal Renewable Energy Project Development and Finance Workshop: Colorado Community-Scale Project Development and Finance Workshop: Oklahoma...

  2. Sandia Energy - Distribution Grid Integration

    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:Energy: Grid Integration Redefining What's PossibleRadiation Protection245C Unlimited ReleaseWelcomeLongEnergy StorageB.DETL Permalink

  3. Distribution Workshop | Department of Energy

    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 China 2015 Business42.1Energy | Departmentthe SantaofTheCentury Challenges |The

  4. Distribution Drive | 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 InformationSite Analysis Tool

  5. Distributed Wind | 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 on Delicious Rank EERE: Alternative Fuels Data Center HomeIdleBiologicalCrosscuttingDepartment ofDistributed Wind

  6. Analysis of Hawaii Biomass Energy Resources for Distributed Energy Applications

    E-Print Network [OSTI]

    Energy Institute School of Ocean and Earth Sciences and Technology Scott Q. Turn Vheissu Keffer MiltonAnalysis of Hawaii Biomass Energy Resources for Distributed Energy Applications Prepared for State) concentrations on a unit energy basis for sugar cane varieties and biomass samples

  7. Distributed Energy Financial Group | 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: EnergyTracer-Determined ResidenceFinancial Group

  8. Distributed Energy Systems Corp | 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: EnergyTracer-Determined ResidenceFinancial

  9. Coastal zone wind energy. Part I. Synoptic and mesoscale controls and distributions of coastal wind energy

    SciTech Connect (OSTI)

    Garstang, M.; Nnaji, S.; Pielke, R.A.; Gusdorf, J.; Lindsey, C.; Snow, J.W.

    1980-03-01T23:59:59.000Z

    This report describes a method of determining coastal wind energy resources. Climatological data and a mesoscale numerical model are used to delineate the available wind energy along the Atlantic and Gulf coasts of the United States. It is found that the spatial distribution of this energy is dependent on the locations of the observing sites in relation to the major synoptic weather features as well as the particular orientation of the coastline with respect to the large-scale wind.

  10. ENERGY EFFICIENCY AND ENVIRONMENTALLY FRIENDLY DISTRIBUTED ENERGY STORAGE BATTERY

    SciTech Connect (OSTI)

    LANDI, J.T.; PLIVELICH, R.F.

    2006-04-30T23:59:59.000Z

    Electro Energy, Inc. conducted a research project to develop an energy efficient and environmentally friendly bipolar Ni-MH battery for distributed energy storage applications. Rechargeable batteries with long life and low cost potentially play a significant role by reducing electricity cost and pollution. A rechargeable battery functions as a reservoir for storage for electrical energy, carries energy for portable applications, or can provide peaking energy when a demand for electrical power exceeds primary generating capabilities.

  11. ITP Industrial Distributed Energy: Distributed Energy Program Project

    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.pdfBreaking of BlytheDepartment of Energy IRS Issuesof the U.S.Profile: Verizon

  12. EIS Distribution | Department of Energy

    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 China U.S.ContaminationJulySavannahFebruary 25, 2013 New Geothermal Data|

  13. Distributed Wind | 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 SiteofEvaluating A Potential Microhydro SiteDaytonDestilariaDirectDirectCalculatorkilowatt

  14. Small-scale mixing, large-scale advection and stratospheric tracer distributions

    E-Print Network [OSTI]

    Vanneste, Jacques

    , United Kingdom. Email: J.Vanneste@ed.ac.uk #12;The vertical mixing of tracers in the stratosphere distributions which are demonstrated using numerical simulations based on observed stratospheric winds. Specif in the turbulent-energy input, three-dimensional turbulence is confined within patches that are lo- calized

  15. Copyright 2013 IEEE. Reprinted, with permission from: CERTS Microgrid Demonstration with Large-Scale Energy Storage and

    E-Print Network [OSTI]

    -Scale Energy Storage and Renewable Generation Eduardo Alegria, Member, IEEE; Tim Brown, Member, IEEE; Erin Minear, Member, IEEE; Robert H. Lasseter, Fellow, IEEE Submitted to "Energy Storage Applications--Distributed Generation, Distributed Resource, Islanding, Microgrid, Smart Grid, Renewable Energy, Advanced Energy Storage

  16. Distributed Energy Calculator | 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 SiteofEvaluating A Potential Microhydro SiteDaytonDestilariaDirectDirectCalculator Jump to:

  17. Distributed Wind Energy Association | 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 <SiteLtd Di S P Jump

  18. Distribution Categories: Magnetic Fusion Energy (UC-20)

    E-Print Network [OSTI]

    Harilal, S. S.

    Schematic illustrating ion or electron electron beam target interaction 4 2 Flow chart of A8THERMAL-2Distribution Categories: Magnetic Fusion Energy (UC-20) Inertia! Confinement Fusion (UC-21) ANL and square time pulse 16 11 The effect of higher initial temperatures and energy densities on the melting

  19. Synthesised Constraint Models for Distributed Energy Management

    E-Print Network [OSTI]

    Reif, Wolfgang

    generation [1], demand-side manage- ment, or building control software. In a producer-based view, supplySynthesised Constraint Models for Distributed Energy Management Alexander Schiendorfer, Jan frequently encountered in energy management systems such as the coordination of power generators in a virtual

  20. Impact of Friction and Scale-Dependent Initial Stress on Radiated Energy-Moment Scaling

    E-Print Network [OSTI]

    Shaw, Bruce E.

    . Shaw Lamont­Doherty Earth Observatory, Columbia University, New York, USA The radiated energy coming271 Impact of Friction and Scale-Dependent Initial Stress on Radiated Energy-Moment Scaling Bruce E of elucidat- ing their radiated energy-moment scaling. We find, contrary to expectations, that apparent stress

  1. Commercial-Scale Renewable Energy Project Development and Finance...

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

    Commercial-Scale Renewable Energy Project Development and Finance Workshop Commercial-Scale Renewable Energy Project Development and Finance Workshop July 29, 2014 1:00PM MDT to...

  2. Community- and Facility-Scale Tribal Renewable Energy Project...

    Office of Environmental Management (EM)

    Community- and Facility-Scale Tribal Renewable Energy Project Workshop to be Held in September Community- and Facility-Scale Tribal Renewable Energy Project Workshop to be Held in...

  3. FEMP Helps Federal Facilities Develop Large-Scale Renewable Energy...

    Office of Environmental Management (EM)

    FEMP Helps Federal Facilities Develop Large-Scale Renewable Energy Projects FEMP Helps Federal Facilities Develop Large-Scale Renewable Energy Projects August 21, 2013 - 12:00am...

  4. Energy Distribution of Black Plane Solutions

    E-Print Network [OSTI]

    Paul Halpern

    2006-03-27T23:59:59.000Z

    We use the Einstein energy-momentum complex to calculate the energy distribution of static plane-symmetric solutions of the Einstein-Maxwell equations in 3+1 dimensions with asymptotic anti-de Sitter behavior. This solution is expressed in terms of three parameters: the mass, electric charge and cosmological constant. We compare the energy distribution to that of the Reissner-Nordstrom-anti-de Sitter solution, pointing to qualitative differences between the models. Finally, we examine these results within the context of the Cooperstock hypothesis.

  5. Tailored ion energy distributions on plasma electrodes

    SciTech Connect (OSTI)

    Economou, Demetre J. [Plasma Processing Laboratory, Department of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas 77204-4004 (United States)] [Plasma Processing Laboratory, Department of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas 77204-4004 (United States)

    2013-09-15T23:59:59.000Z

    As microelectronic device features continue to shrink approaching atomic dimensions, control of the ion energy distribution on the substrate during plasma etching and deposition becomes increasingly critical. The ion energy should be high enough to drive ion-assisted etching, but not too high to cause substrate damage or loss of selectivity. In many cases, a nearly monoenergetic ion energy distribution (IED) is desired to achieve highly selective etching. In this work, the author briefly reviews: (1) the fundamentals of development of the ion energy distribution in the sheath and (2) methods to control the IED on plasma electrodes. Such methods include the application of “tailored” voltage waveforms on an electrode in continuous wave plasmas, or the application of synchronous bias on a “boundary electrode” during a specified time window in the afterglow of pulsed plasmas.

  6. Deployment Barriers to Distributed Wind Energy: Workshop Report...

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

    Deployment Barriers to Distributed Wind Energy: Workshop Report, October 28, 2010 Deployment Barriers to Distributed Wind Energy: Workshop Report, October 28, 2010 This report...

  7. Flexible Distributed Energy & Water from Waste for the Food ...

    Energy Savers [EERE]

    Flexible Distributed Energy & Water from Waste for the Food & Beverage Industry - Presentation by GE Global Research, June 2011 Flexible Distributed Energy & Water from Waste for...

  8. Integrating Renewable Energy into the Transmission and Distribution...

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

    Integrating Renewable Energy into the Transmission and Distribution System of the U.S. Virgin Islands Integrating Renewable Energy into the Transmission and Distribution System of...

  9. Flexible Distributed Energy and Water from Waste for the Food...

    Energy Savers [EERE]

    Flexible Distributed Energy and Water from Waste for the Food and Beverage Industry - Fact Sheet, 2014 Flexible Distributed Energy and Water from Waste for the Food and Beverage...

  10. 9-26 QER Report: Energy Transmission, Storage, and Distribution...

    Office of Environmental Management (EM)

    -26 QER Report: Energy Transmission, Storage, and Distribution Infrastructure | April 2015 QER Report: Energy Transmission, Storage, and Distribution Infrastructure | April 2015...

  11. Integrating Renewable Energy into the Transmission and Distribution...

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

    generation DOE U.S. Department of Energy DPR Dynamic Power Resource DS distributed storage DSM demand side management D-SMES distributed superconducting magnetic energy...

  12. Comments on: Distributed Energy Resources

    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 for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWPSuccessAlamosCharacterization2Climate,CobaltColdin679April

  13. EIS Distribution | 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:Revised Finding of98-F, Western22,EERE Solar SunShotAbsorption8,HOWARDEIR SOPEISEIS

  14. Sandia Energy - Distribution Grid Integration

    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 Scienceand RequirementsCoatings Initiated at PNNL's SequimReactors ToDecision

  15. 2013 Community- and Facility-Scale Workshop | Department of Energy

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

    held a Community- and Facility-Scale Tribal Renewable Energy Project Development and Finance Workshop September 18-20, 2013, at the National Renewable Energy Laboratory in...

  16. 2014 Commercial-Scale Renewable Energy Project Development and...

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

    Commercial-Scale Tribal Renewable Energy Project Development and Finance workshop held July 29-31, 2014, at the National Renewable Energy Laboratory in Golden, Colorado. Agenda...

  17. Scaling up Renewable Energy in Developing Countries: finance...

    Open Energy Info (EERE)

    Renewable Energy in Developing Countries: finance and investment perspectives Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Scaling up Renewable Energy in Developing...

  18. Community- and Facility-Scale Renewable Energy Project Development...

    Energy Savers [EERE]

    energy.govindianenergy Community- and Facility-Scale Renewable Energy Project Development and Finance Workshop June 9-11, 2015 Riverwind Hotel and Casino Norman, Oklahoma DRAFT...

  19. Energy distribution of Kerr spacetime using Moller energy momentum complex

    E-Print Network [OSTI]

    Gamal G. L. Nashed

    2005-07-12T23:59:59.000Z

    Using the energy momentum complex given by M{\\o}ller in 1978 based on the absolute parallelism, the energy distribution in Kerr spacetime is evaluated. The energy with this spacetime is found to be the same as it was earlier evaluated using different definitions mainly based on the metric tensor.

  20. Energy Department Announces $10 Million for Full-Scale Wave Energy...

    Office of Environmental Management (EM)

    10 Million for Full-Scale Wave Energy Device Testing Energy Department Announces 10 Million for Full-Scale Wave Energy Device Testing October 29, 2014 - 2:55pm Addthis The Energy...

  1. Energy Distribution in f(R) Gravity

    E-Print Network [OSTI]

    M. Sharif; M. Farasat Shamir

    2009-12-18T23:59:59.000Z

    The well-known energy problem is discussed in f(R) theory of gravity. We use the generalized Landau-Lifshitz energy-momentum complex in the framework of metric f(R) gravity to evaluate the energy density of plane symmetric solutions for some general f(R) models. In particular, this quantity is found for some popular choices of f(R) models. The constant scalar curvature condition and the stability condition for these models are also discussed. Further, we investigate the energy distribution of cosmic string spacetime.

  2. Evaluation Framework and Tools for Distributed Energy Resources

    SciTech Connect (OSTI)

    Gumerman, Etan Z.; Bharvirkar, Ranjit R.; LaCommare, Kristina Hamachi; Marnay , Chris

    2003-02-01T23:59:59.000Z

    The Energy Information Administration's (EIA) 2002 Annual Energy Outlook (AEO) forecast anticipates the need for 375 MW of new generating capacity (or about one new power plant) per week for the next 20 years, most of which is forecast to be fueled by natural gas. The Distributed Energy and Electric Reliability Program (DEER) of the Department of Energy (DOE), has set a national goal for DER to capture 20 percent of new electric generation capacity additions by 2020 (Office of Energy Efficiency and Renewable Energy 2000). Cumulatively, this amounts to about 40 GW of DER capacity additions from 2000-2020. Figure ES-1 below compares the EIA forecast and DEER's assumed goal for new DER by 2020 while applying the same definition of DER to both. This figure illustrates that the EIA forecast is consistent with the overall DEER DER goal. For the purposes of this study, Berkeley Lab needed a target level of small-scale DER penetration upon which to hinge consideration of benefits and costs. Because the AEO2002 forecasted only 3.1 GW of cumulative additions from small-scale DER in the residential and commercial sectors, another approach was needed to estimate the small-scale DER target. The focus here is on small-scale DER technologies under 500 kW. The technology size limit is somewhat arbitrary, but the key results of interest are marginal additional costs and benefits around an assumed level of penetration that existing programs might achieve. Berkeley Lab assumes that small-scale DER has the same growth potential as large scale DER in AEO2002, about 38 GW. This assumption makes the small-scale goal equivalent to 380,000 DER units of average size 100 kW. This report lays out a framework whereby the consequences of meeting this goal might be estimated and tallied up. The framework is built around a list of major benefits and a set of tools that might be applied to estimate them. This study lists some of the major effects of an emerging paradigm shift away from central station power and towards a more dispersed and heterogeneous power system. Seventeen societal effects of small-scale DER are briefly summarized. Each effect is rated as high, medium or low, on three different scales that will help determine the optimal social investment. The three scales are: the magnitude of the economic benefit; the likelihood that the benefit can be monetized in efficient markets, i.e. internalized; and how tractable it might be to quantify each benefit analytically. Some of the modeling tools that may be used to estimate these effects are described in the Appendix.

  3. Uncovering a Hidden Distributed Architecture Behind Scale-free Transcriptional Regulatory Networks

    E-Print Network [OSTI]

    Babu, M. Madan

    Uncovering a Hidden Distributed Architecture Behind Scale-free Transcriptional Regulatory Networks: transcriptional network; co-regulation network; distributed robustness; scale-free structure; evolution. This mutational robustness could arise either due to redundancy, i.e. direct backup, or due to distributed

  4. Fine scale modeling of wintertime aerosol mass, number, and size distributions in central California

    E-Print Network [OSTI]

    Jacobson, Mark

    Fine scale modeling of wintertime aerosol mass, number, and size distributions in central with the observed PM number and size distributions (with an NMB of -13.9%), indicating the importance of coagulation scale modeling of wintertime aerosol mass, number, and size distributions in central California, J

  5. Lower scaling dimensions of quarks and gluons and new energy scales

    E-Print Network [OSTI]

    F. Palumbo

    1996-05-08T23:59:59.000Z

    We consider the possibility that quarks and gluons, due to confinement, have lower scaling dimensions. In such a case there appear naturally new energy scales below which the standard theory is recovered. Arguments are given whereby for dimension $1/2$ of the quarks the theory is unitary also above these energy scales.

  6. Optimal scaling of the ADMM algorithm for distributed quadratic ...

    E-Print Network [OSTI]

    2014-12-11T23:59:59.000Z

    Dec 11, 2014 ... such as distributed power network state-estimation [14] and distributed averaging [2]. In this class ...... The following statements are true:.

  7. 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

  8. STATE OF CALIFORNIA DISTRIBUTED ENERGY STORAGE DX AC SYSTEMES ACCEPTANCE

    E-Print Network [OSTI]

    STATE OF CALIFORNIA DISTRIBUTED ENERGY STORAGE DX AC SYSTEMES ACCEPTANCE CEC-MECH-14A (Revised 08/09) CALIFORNIA ENERGY COMMISSION CERTIFICATE OF ACCEPTANCE MECH-14A NA7.5.13 Distributed Energy Storage DX AC DISTRIBUTED ENERGY STORAGE DX AC SYSTEMES ACCEPTANCE CEC-MECH-14A (Revised 08/09) CALIFORNIA ENERGY COMMISSION

  9. Distributional and Efficiency Impacts of Clean and Renewable Energy Standards

    E-Print Network [OSTI]

    supply and demand, including renewable energy resources and generating technologies, while representingDistributional and Efficiency Impacts of Clean and Renewable Energy Standards for Electricity on recycled paper #12;Distributional and Efficiency Impacts of Clean and Renewable Energy Standards

  10. An Electricity Trade Model for Multiple Power Distribution Networks in Smart Energy Systems

    E-Print Network [OSTI]

    Pedram, Massoud

    . A microgrid is a small scale power network, which contains one or multiple types of renewable power generators complicated with the adoption of energy storage [5]. For a power network, the amount of energy generationAn Electricity Trade Model for Multiple Power Distribution Networks in Smart Energy Systems

  11. Isospin mixing and energy distributions in three-body decay

    E-Print Network [OSTI]

    E. Garrido; D. V. Fedorov; H. O. U. Fynbo; A. S. Jensen

    2007-03-21T23:59:59.000Z

    The structure of the second 2$^+$ resonance in $^{6}$Li is investigated with special emphasis on its isospin 0 components. The wave functions are computed in a three-body model ($\\alpha$+$n$+$p$) using the hyperspherical adiabatic expansion method combined with complex scaling. In the decay into three free particles the symmetry conserving short-range interaction dominates at short distance whereas the symmetry breaking Coulomb interaction dominates at intermediate and large distances resulting in substantial isospin mixing. We predict the mixing and the energy distributions of the fragments after decay. Computations are consistent with available experiments. We conjecture that nuclear three-body decays frequently produce such large isospin mixing at large distance where the energy distributions. are determined.

  12. Large Scale Energy Storage: From Nanomaterials to Large Systems

    E-Print Network [OSTI]

    Fisher, Frank

    Large Scale Energy Storage: From Nanomaterials to Large Systems Wednesday October 26, 2011, Babbio energy storage devices. Specifically, this talk discusses 1) the challenges for grid scale of emergent technologies with ultralow costs on new energy storage materials and mechanisms. Dr. Jun Liu

  13. Observation time scale, free-energy landscapes, and molecular symmetry

    E-Print Network [OSTI]

    Salamon, Peter

    Observation time scale, free-energy landscapes, and molecular symmetry David J. Walesa,1 and Peter structures that interconvert on a given time scale are lumped together, the corresponding free-energy surface that are connected by free-energy barriers below a certain threshold. We illustrate this time dependence for some

  14. Transportation Policies and Programs | Department of Energy

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

    Planning Energy Policies & Programs Energy Efficiency Renewable Energy: Distributed Generation Renewable Energy: Utility-Scale Transportation Financing Energy Data Management...

  15. On the possibility of q-scaling in high energy production processes

    E-Print Network [OSTI]

    Rybczynski, Maciej; Wilk, Grzegorz

    2012-01-01T23:59:59.000Z

    It has been noticed recently that transverse momenta (p_T) distributions observed in high energy production processes exhibit remarkably universal scaling behaviour. This is the case when a suitable variable replaces the usual p_T. On the other hand, it is also widely known that transverse momentum distributions in general follow a power-like Tsallis distribution, rather than an exponential Boltzmann-Gibbs, with a (generally energy dependent) nonextensivity parameter q. Here we show that it is possible to choose a suitable variable such that all the data can be fitted by the same Tsallis distribution (with the same, energy independent value of the q-parameter). Thus they exhibit q-scaling.

  16. On the possibility of q-scaling in high energy production processes

    E-Print Network [OSTI]

    Maciej Rybczynski; Zbigniew Wlodarczyk; Grzegorz Wilk

    2012-07-11T23:59:59.000Z

    It has been noticed recently that transverse momenta (p_T) distributions observed in high energy production processes exhibit remarkably universal scaling behaviour. This is the case when a suitable variable replaces the usual p_T. On the other hand, it is also widely known that transverse momentum distributions in general follow a power-like Tsallis distribution, rather than an exponential Boltzmann-Gibbs, with a (generally energy dependent) nonextensivity parameter q. Here we show that it is possible to choose a suitable variable such that all the data can be fitted by the same Tsallis distribution (with the same, energy independent value of the q-parameter). Thus they exhibit q-scaling.

  17. Energy Efficient HVAC System for Distributed Cooling/Heating...

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

    Efficient HVAC System for Distributed CoolingHeating with Thermoelectric Devices Energy Efficient HVAC System for Distributed CoolingHeating with Thermoelectric Devices 2012 DOE...

  18. Sandia National Laboratories: PNM Distributed Energy Solar Power...

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

    PNM Distributed Energy Solar Power Program Mesa del Sol Project Is Finalist for International Smart Grid Action Network 2014 Award of Excellence On July 31, 2014, in Distribution...

  19. Distributed/Stationary Fuel Cell Systems | Department of Energy

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

    DistributedStationary Fuel Cell Systems DistributedStationary Fuel Cell Systems Photo of stationary fuel cell The Department of Energy (DOE) is developing high-efficiency fuel...

  20. Strategies to Finance Large-Scale Deployment of Renewable Energy...

    Open Energy Info (EERE)

    Strategies to Finance Large-Scale Deployment of Renewable Energy Projects: An Economic Development and Infrastructure Approach Jump to: navigation, search Tool Summary LAUNCH TOOL...

  1. Structuring Materials on Multiple Length Scales for Energy Application...

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

    Structuring Materials on Multiple Length Scales for Energy Applications October 25, 2012 at 3pm36-428 Adreas Stein Department of Chemistry, University of Minnesota astein...

  2. Expedited Permitting of Grid-Scale Wind Energy Development (Maine)

    Broader source: Energy.gov [DOE]

    Maine's Expedited Permitting of Grid-Scale Wind Energy Development statue provides an expedited permitting pathway for proposed wind developments in certain designated locations, known as expedited...

  3. Utility Scale Renewable Energy Development Near DOD Installations...

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

    Aimone, P.E. National Security Global Business Battelle Memorial Institute Utility Scale Renewable Energy Development near DOD Installations Making the Case for Land Use...

  4. EBRD-Sustainable Energy Initiative: Scaling Up Finance for Climate...

    Open Energy Info (EERE)

    Type: Publications Website: www.ebrd.comdownloadsresearchfactsheetssei.pdf Cost: Free EBRD-Sustainable Energy Initiative: Scaling Up Finance for Climate Change Mitigation...

  5. Energy-Momentum Distribution in Weyl Metrics

    E-Print Network [OSTI]

    M. Sharif; Tasnim Fatima

    2005-07-16T23:59:59.000Z

    In this paper, we evaluate energy and momentum density distributions for the Weyl metric by using the well-known prescriptions of Einstein, Landau-Lifshitz, Papaterou and M$\\ddot{o}$ller. The metric under consideration is the static axisymmetric vacuum solution to the Einstein field equations and one of the field equations represents the Laplace equation. Curzon metric is the special case of this spacetime. We find that the energy density is different for each prescription. However, momentum turns out to be constant in each case.

  6. How Distributed Wind Works | Department of Energy

    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 1,006 492 742 33Frequently20,000 RussianBy: Thomas P. D'Agostino,GlenLearningDepartmentDistributed wind energy

  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. Community & Facility Scale Renewable Energy Project Development...

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

    DOE Office of Indian Energy and the Tribal Energy Program, with support from the National Renewable Energy Laboratory, are hosting an interactive workshop that will walk...

  9. Control Algorithms for Grid-Scale Battery Energy Storage Systems

    E-Print Network [OSTI]

    Control Algorithms for Grid-Scale Battery Energy Storage Systems This report describes development-connected battery energy storage system. The report was submitted by HNEI to the U.S. Department of Energy Office.2: Energy Storage Systems August 2014 HAWAI`I NATURAL ENERGY INSTITUTE School of Ocean & Earth Science

  10. The propagation of kinetic energy across scales in turbulent flows

    E-Print Network [OSTI]

    Cardesa, José I; Dong, Siwei; Jiménez, Javier

    2015-01-01T23:59:59.000Z

    A temporal study of energy transfer across length scales is performed in 3D numerical simulations of homogeneous shear flow and isotropic turbulence, at Reynolds numbers in the range $Re_{\\lambda}=107-384$. The average time taken by perturbations in the energy flux to travel between scales is measured and shown to be additive, as inferred from the agreement between the total travel time from a given scale to the smallest dissipative motions, and the time estimated from successive jumps through intermediate scales. Our data suggests that the propagation of disturbances in the energy flux is independent of the forcing and that it defines a `velocity' that determines the energy flux itself. These results support that the cascade is, on average, a scale-local process where energy is continuously transmitted from one scale to the next in order of decreasing size.

  11. QUADRENNIAL ENERGY REVIEW: ENERGY TRANSMISSION, STORAGE, AND DISTRIBUTION INFRASTRUCTURE

    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+ ReportEnergyProvidingPumpkinDistribution

  12. Capacitor placement and real time control in large-scale unbalanced distribution systems: Numerical studies

    SciTech Connect (OSTI)

    Wang, J.C.; Chiang, H.D.; Miu, K.N. [Cornell Univ., Ithaca, NY (United States). School of Electrical Engineering; Darling, G. [NYSEG Corp., Binghamton, NY (United States). Distribution System Dept.

    1997-04-01T23:59:59.000Z

    A novel solution algorithm for capacitor placement and real-time control in real large-scale unbalanced distribution systems is evaluated and implemented to determine the number, locations, sizes, types and control schemes of capacitors to be placed on large-scale unbalanced distribution systems. A detailed numerical study regarding the solution algorithm in large scale unbalanced distribution systems is undertaken. Promising numerical results on both 292 bus and 394 bus real unbalanced distribution systems containing unbalanced loads and phasing and various types of transformers are presented. The computational performance for the capacitor control problem under load variations is encouraging.

  13. Distribution of entanglement in large-scale quantum networks

    E-Print Network [OSTI]

    S. Perseguers; G. J. Lapeyre Jr; D. Cavalcanti; M. Lewenstein; A. Acín

    2013-05-06T23:59:59.000Z

    The concentration and distribution of quantum entanglement is an essential ingredient in emerging quantum information technologies. Much theoretical and experimental effort has been expended in understanding how to distribute entanglement in one-dimensional networks. However, as experimental techniques in quantum communication develop, protocols for multi-dimensional systems become essential. Here, we focus on recent theoretical developments in protocols for distributing entanglement in regular and complex networks, with particular attention to percolation theory and network-based error correction.

  14. Scale invariance, unimodular gravity and dark energy

    E-Print Network [OSTI]

    Mikhail Shaposhnikov; Daniel Zenhausern

    2008-12-16T23:59:59.000Z

    We demonstrate that the combination of the ideas of unimodular gravity, scale invariance, and the existence of an exactly massless dilaton leads to the evolution of the universe supported by present observations: inflation in the past, followed by the radiation and matter dominated stages and accelerated expansion at present. All mass scales in this type of theories come from one and the same source.

  15. Distributed Wind - Economical, Clean Energy for Industrial Facilities 

    E-Print Network [OSTI]

    Trapanese, A.; James, F.

    2011-01-01T23:59:59.000Z

    Distributed wind energy works for industrial clients. Corporations and other organizations are choosing to add Distributed Wind energy to their corporate goals for a numerous reasons: economic, environmental, marketing, values, and attracting new...

  16. Distributed Wind - Economical, Clean Energy for Industrial Facilities

    E-Print Network [OSTI]

    Trapanese, A.; James, F.

    2011-01-01T23:59:59.000Z

    Distributed wind energy works for industrial clients. Corporations and other organizations are choosing to add Distributed Wind energy to their corporate goals for a numerous reasons: economic, environmental, marketing, values, and attracting new...

  17. Dynamic Voltage Regulation Using Distributed Energy Resources

    SciTech Connect (OSTI)

    Xu, Yan [ORNL; Rizy, D Tom [ORNL; Li, Fangxing [ORNL; Kueck, John D [ORNL

    2007-01-01T23:59:59.000Z

    Many distributed energy resources (DE) are near load centres and equipped with power electronics converters to interface with the grid, therefore it is feasible for DE to provide ancillary services such as voltage regulation, nonactive power compensation, and power factor correction. A synchronous condenser and a microturbine with an inverter interface are implemented in parallel in a distribution system to regulate the local voltage. Voltage control schemes of the inverter and the synchronous condenser are developed. The experimental results show that both the inverter and the synchronous condenser can regulate the local voltage instantaneously, while the dynamic response of the inverter is faster than the synchronous condenser; and that integrated voltage regulation (multiple DE perform voltage regulation) can increase the voltage regulation capability, increase the lifetime of the equipment, and reduce the capital and operation costs.

  18. Critical Perspectives on Large-Scale Distributed Applications and Production Grids

    E-Print Network [OSTI]

    Weissman, Jon

    not progressed in phase. Progress in the next phase and generation of distributed applications will require that can seamlessly utilize distributed infrastructures in an extensible and scalable fashion. We believeCritical Perspectives on Large-Scale Distributed Applications and Production Grids Shantenu Jha1

  19. Onix: A Distributed Control Platform for Large-scale Production Networks Teemu Koponen

    E-Print Network [OSTI]

    Onix: A Distributed Control Platform for Large-scale Production Networks Teemu Koponen , Martin on top of which a network control plane can be implemented as a distributed system. Control planes written within Onix operate on a global view of the network, and use basic state distribution primitives

  20. Estimating the Benefits and Costs of Distributed Energy Technologies...

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

    1 Presentations Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Day 1 Presentations On September 30 and October 1, 2014, the Department of Energy...

  1. Estimating the Benefits and Costs of Distributed Energy Technologies...

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

    2014, the Department of Energy hosted a 2-day workshop on "Estimating the Benefits and Costs of Distributed Energy Technologies." The purpose of the workshop was to foster...

  2. Energy Distribution of a Charged Regular Black Hole

    E-Print Network [OSTI]

    Irina Radinschi

    2000-11-20T23:59:59.000Z

    We calculate the energy distribution of a charged regular black hole by using the energy-momentum complexes of Einstein and M{\\o}ller.

  3. QER Report: Energy Transmission, Storage, and Distribution Infrastruct...

    Office of Environmental Management (EM)

    Report: Energy Transmission, Storage, and Distribution Infrastructure | April 2015 S-1 Summary SUMMARY FOR POLICYMAKERS The U.S. energy landscape is changing. The United States has...

  4. Energy Efficiency of Distributed Environmental Control Systems

    SciTech Connect (OSTI)

    Khalifa, H. Ezzat; Isik, Can; Dannenhoffer, John F. III

    2011-02-23T23:59:59.000Z

    In this report, we present an analytical evaluation of the potential of occupant-regulated distributed environmental control systems (DECS) to enhance individual occupant thermal comfort in an office building with no increase, and possibly even a decrease in annual energy consumption. To this end we developed and applied several analytical models that allowed us to optimize comfort and energy consumption in partitioned office buildings equipped with either conventional central HVAC systems or occupant-regulated DECS. Our approach involved the following interrelated components: 1. Development of a simplified lumped-parameter thermal circuit model to compute the annual energy consumption. This was necessitated by the need to perform tens of thousands of optimization calculations involving different US climatic regions, and different occupant thermal preferences of a population of ~50 office occupants. Yearly transient simulations using TRNSYS, a time-dependent building energy modeling program, were run to determine the robustness of the simplified approach against time-dependent simulations. The simplified model predicts yearly energy consumption within approximately 0.6% of an equivalent transient simulation. Simulations of building energy usage were run for a wide variety of climatic regions and control scenarios, including traditional “one-size-fits-all” (OSFA) control; providing a uniform temperature to the entire building, and occupant-selected “have-it-your-way” (HIYW) control with a thermostat at each workstation. The thermal model shows that, un-optimized, DECS would lead to an increase in building energy consumption between 3-16% compared to the conventional approach depending on the climate regional and personal preferences of building occupants. Variations in building shape had little impact in the relative energy usage. 2. Development of a gradient-based optimization method to minimize energy consumption of DECS while keeping each occupant’s thermal dissatisfaction below a given threshold. The DECS energy usage was calculated using the simplified thermal model. OSFA control; providing a uniform temperature to the entire building, and occupant-selected HIYW control with a thermostat at each workstation were implemented for 3 cities representing 3 different climatic regions and control scenarios. It is shown that optimization allows DECS to deliver a higher level of individual and population thermal comfort while achieving annual energy savings between 14 and 26% compared to OSFA. The optimization model also allowed us to study the influence of the partitions’ thermal resistance and the variability of internal loads at each office. These influences didn’t make significant changes in the optimized energy consumption relative to OSFA. The results show that it is possible to provide thermal comfort for each occupant while saving energy compared to OSFA Furthermore, to simplify the implementation of this approach, a fuzzy logic system has been developed to generalize the overall optimization strategy. Its performance was almost as good as the gradient system. The fuzzy system provided thermal comfort to each occupant and saved energy compared to OSFA. The energy savings of the fuzzy system were not as high as for the gradient-optimized system, but the fuzzy system avoided complete connectivity, and the optimization did not have to be repeated for each population. 3. We employed a detailed CFD model of adjacent occupied cubicles to extend the thermal-circuit model in three significant ways: (a) relax the “office wall” requirement by allowing energy to flow between zones via advection as well as conduction, (b) improve the comfort model to account both for radiation as well as convection heat transfer, and (c) support ventilation systems in which the temperature is stratified, such as in underfloor air distribution systems. Initially, three-dimensional CFD simulations of several cubicle configurations, with an adjoining corridor, were performed both to understand the advection between cubicles and the

  5. Understanding Fault Characteristics of Inverter-Based Distributed Energy Resources

    SciTech Connect (OSTI)

    Keller, J.; Kroposki, B.

    2010-01-01T23:59:59.000Z

    This report discusses issues and provides solutions for dealing with fault current contributions from inverter-based distributed energy resources.

  6. New Mexico Community-Scale Tribal Renewable Energy Workshop

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy (DOE) Office of Indian Energy, with support from the National Renewable Energy Laboratory (NREL), is offering a series of interactive workshops that will walk participants through the process for developing community -scale renewable energy projects on tribal lands.

  7. Spatial Energy Balancing in Large-scale Wireless Multihop Networks

    E-Print Network [OSTI]

    de Veciana, Gustavo

    Spatial Energy Balancing in Large-scale Wireless Multihop Networks Seung Jun Baek and Gustavo de is on optimizing trade-offs between the energy cost of spreading traffic and the improved spatial balance of energy. We propose a parameterized family of energy balancing strategies for grids and approximate

  8. Energy Efficiency on the Personal and Urban Scale

    E-Print Network [OSTI]

    Hall, Sharon J.

    Energy Efficiency on the Personal and Urban Scale Thursday, September 29, 2011 11:30 a.m. ­12:30 p how you can drive your roommates crazy and also change the world through energy efficiency--at home Dalrymple, LEED AP BD+C and HOMES, BPI and ICC Residential Energy Plans Examiner, breathes energy efficiency

  9. Integration of distributed energy resources. The CERTS Microgrid Concept

    E-Print Network [OSTI]

    2002-01-01T23:59:59.000Z

    of Distributed Energy Resources - The C E R T S M i c r o Gof Distributed Energy Resources - The C E R T S M i c r o Gof Distributed Energy Resources - The C E R T S M i c r o G

  10. Energy Distribution of Nanoflares in Three-Dimensional Simulations of

    E-Print Network [OSTI]

    Ng, Chung-Sang

    Energy Distribution of Nanoflares in Three-Dimensional Simulations of Coronal Heating Chung-Sang Ng difficulties. We will present energy distributions and other statistics based on our simulations, calculated simulation results. · Parker's nanoflare heating model vs observations · Energy distributions of nanoflares

  11. Ductless Hydronic Distribution | 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:Revised Finding of No53197E TDrew Bittner About Us DrewDual LoopDistribution

  12. Ductless Hydronic Distribution Systems | Department of Energy

    Office of Environmental Management (EM)

    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 1112011AT&T,Office of Policy,Policy ActDetroit7471Site-WideonDuctless Hydronic Distribution

  13. Multiplicity Distributions in QCD at Very High Energies

    E-Print Network [OSTI]

    I. M. Dremin

    1994-08-18T23:59:59.000Z

    Recent results in QCD on multiplicity distributions are briefly reviewed. QCD is able to predict very tiny features of multiplicity distributions which demonstrate that the negative binomial distribution (and, more generally, any infinitely divisible distribution) is inappropriate for precise description of experimental data. New fits of high energy multiplicity distributions can be derived.

  14. Large-scale Probabilistic Forecasting in Energy Systems using Sparse Gaussian Conditional Random Fields

    E-Print Network [OSTI]

    Kolter, J. Zico

    -Gaussian case using the copula transform. On a wind power forecasting task, we show that this probabilisticLarge-scale Probabilistic Forecasting in Energy Systems using Sparse Gaussian Conditional Random high-dimensional conditional Gaussian distributions to forecasting wind power and extend it to the non

  15. Distributed Energy Resources Market Diffusion Model

    SciTech Connect (OSTI)

    Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui,Afzal S.

    2006-06-16T23:59:59.000Z

    Distributed generation (DG) technologies, such as gas-fired reciprocating engines and microturbines, have been found to be economically beneficial in meeting commercial-sector electrical, heating, and cooling loads. Even though the electric-only efficiency of DG is lower than that offered by traditional central stations, combined heat and power (CHP) applications using recovered heat can make the overall system energy efficiency of distributed energy resources (DER) greater. From a policy perspective, however, it would be useful to have good estimates of penetration rates of DER under various economic and regulatory scenarios. In order to examine the extent to which DER systems may be adopted at a national level, we model the diffusion of DER in the US commercial building sector under different technical research and technology outreach scenarios. In this context, technology market diffusion is assumed to depend on the system's economic attractiveness and the developer's knowledge about the technology. The latter can be spread both by word-of-mouth and by public outreach programs. To account for regional differences in energy markets and climates, as well as the economic potential for different building types, optimal DER systems are found for several building types and regions. Technology diffusion is then predicted via two scenarios: a baseline scenario and a program scenario, in which more research improves DER performance and stronger technology outreach programs increase DER knowledge. The results depict a large and diverse market where both optimal installed capacity and profitability vary significantly across regions and building types. According to the technology diffusion model, the West region will take the lead in DER installations mainly due to high electricity prices, followed by a later adoption in the Northeast and Midwest regions. Since the DER market is in an early stage, both technology research and outreach programs have the potential to increase DER adoption, and thus, shift building energy consumption to a more efficient alternative.

  16. The integration of renewable energy sources into electric power distribution systems. Volume 2, Utility case assessments

    SciTech Connect (OSTI)

    Zaininger, H.W.; Ellis, P.R.; Schaefer, J.C. [Zaininger Engineering Co., San Jose, CA (United States)

    1994-06-01T23:59:59.000Z

    Electric utility distribution system impacts associated with the integration of renewable energy sources such as photovoltaics (PV) and wind turbines (WT) are considered in this project. The impacts are expected to vary from site to site according to the following characteristics: (1) The local solar insolation and/or wind characteristics; (2) renewable energy source penetration level; (3) whether battery or other energy storage systems are applied; and (4) local utility distribution design standards and planning practices. Small, distributed renewable energy sources are connected to the utility distribution system like other, similar kW- and MW-scale equipment and loads. Residential applications are expected to be connected to single-phase 120/240-V secondaries. Larger kw-scale applications may be connected to three-phase secondaries, and larger hundred-kW and MW-scale applications, such as MW-scale windfarms or PV plants, may be connected to electric utility primary systems via customer-owned primary and secondary collection systems. Small, distributed renewable energy sources installed on utility distribution systems will also produce nonsite-specific utility generation system benefits such as energy and capacity displacement benefits, in addition to the local site-specific distribution system benefits. Although generation system benefits are not site-specific, they are utility-specific, and they vary significantly among utilities in different regions. In addition, transmission system benefits, environmental benefits and other benefits may apply. These benefits also vary significantly among utilities and regions. Seven utility case studies considering PV, WT, and battery storage were conducted to identify a range of potential renewable energy source distribution system applications.

  17. Jet energy scale setting with "photon+Jet" events at LHC energies. Event rates, Pt structure of jet

    E-Print Network [OSTI]

    D. V. Bandourin; V. F. Konoplianikov; N. B. Skachkov

    2000-12-15T23:59:59.000Z

    In this paper the study of "photon+Jet" events is continued, aimed at jet energy scale setting and hadron calorimeter calibration at LHC energies. The event number distribution over Pt and pseudorapidity eta in the barrel region of the photon is presented. The features of "photon+Jet" events in CMS detector |eta|<1.4 are exposed. Pt structure of the region in the eta-phi space inside and beyond jet is also shown.

  18. A Smart Energy System: Distributed Resource Management, Control and Optimization

    E-Print Network [OSTI]

    Beigl, Michael

    A Smart Energy System: Distributed Resource Management, Control and Optimization Yong Ding, Student of distributed energy resource and consumption management, which proposes to design a networked and embedded platform for realizing a dynamic energy mix and optimizing the energy consumption dy- namically. Based

  19. Lattice analysis for the energy scale of QCD phenomena

    E-Print Network [OSTI]

    Arata Yamamoto; Hideo Suganuma

    2008-12-09T23:59:59.000Z

    We formulate a new framework in lattice QCD to study the relevant energy scale of QCD phenomena. By considering the Fourier transformation of link variable, we can investigate the intrinsic energy scale of a physical quantity nonperturbatively. This framework is broadly available for all lattice QCD calculations. We apply this framework for the quark-antiquark potential and meson masses in quenched lattice QCD. The gluonic energy scale relevant for the confinement is found to be less than 1 GeV in the Landau or Coulomb gauge.

  20. Economic Investigation of Community-Scale Versus Building Scale Net-Zero Energy

    SciTech Connect (OSTI)

    Fernandez, Nicholas; Katipamula, Srinivas; Brambley, Michael R.; Reddy, T. A.

    2009-12-31T23:59:59.000Z

    The study presented in this report examines issues concerning whether achieving net-zero energy performance at the community scale provides economic and potentially overall efficiency advantages over strategies focused on individual buildings.

  1. Pore-scale dynamics of salt transport and distribution in drying porous media

    SciTech Connect (OSTI)

    Shokri, Nima, E-mail: nima.shokri@manchester.ac.uk [School of Chemical Engineering and Analytical Science, University of Manchester, Manchester M13 9PL (United Kingdom)] [School of Chemical Engineering and Analytical Science, University of Manchester, Manchester M13 9PL (United Kingdom)

    2014-01-15T23:59:59.000Z

    Understanding the physics of water evaporation from saline porous media is important in many natural and engineering applications such as durability of building materials and preservation of monuments, water quality, and mineral-fluid interactions. We applied synchrotron x-ray micro-tomography to investigate the pore-scale dynamics of dissolved salt distribution in a three dimensional drying saline porous media using a cylindrical plastic column (15 mm in height and 8 mm in diameter) packed with sand particles saturated with CaI{sub 2} solution (5% concentration by mass) with a spatial and temporal resolution of 12 ?m and 30 min, respectively. Every time the drying sand column was set to be imaged, two different images were recorded using distinct synchrotron x-rays energies immediately above and below the K-edge value of Iodine. Taking the difference between pixel gray values enabled us to delineate the spatial and temporal distribution of CaI{sub 2} concentration at pore scale. Results indicate that during early stages of evaporation, air preferentially invades large pores at the surface while finer pores remain saturated and connected to the wet zone at bottom via capillary-induced liquid flow acting as evaporating spots. Consequently, the salt concentration increases preferentially in finer pores where evaporation occurs. Higher salt concentration was observed close to the evaporating surface indicating a convection-driven process. The obtained salt profiles were used to evaluate the numerical solution of the convection-diffusion equation (CDE). Results show that the macro-scale CDE could capture the overall trend of the measured salt profiles but fail to produce the exact slope of the profiles. Our results shed new insight on the physics of salt transport and its complex dynamics in drying porous media and establish synchrotron x-ray tomography as an effective tool to investigate the dynamics of salt transport in porous media at high spatial and temporal resolution.

  2. Spectral energy distributions of selfgravitating QSO discs

    E-Print Network [OSTI]

    Edwin Sirko; Jeremy Goodman

    2002-09-23T23:59:59.000Z

    We calculate spectral energy distributions (SEDs) of steady accretion discs at high accretion rates, as appropriate for bright QSOs, under the assumption that the outer parts are heated sufficiently to maintain marginal gravitational stability, presumably by massive stars formed within the disc. The SED is independent of the nature of these auxiliary sources if their inputs are completely thermalized. Standard assumptions are made for angular momentum transport, with an alpha parameter less than unity. With these prescriptions, the luminosity of the disc is sensitive to its opacity, in contrast to standard discs powered by release of orbital energy alone. Compared to the latter, our discs have a broader SED, with a second peak in the near-infrared that is energetically comparable to the blue bump. The energy in the second peak increases with the outer radius of the disc, provided that the accretion rate is constant with radius. By comparing our computed SEDs with observed ones, we limit the outer radius of the disc to be less than 10^5 Schwarzschild radii, or about one parsec, in a typical QSO. We also discuss some properties of our minimum-Q discs in the regions where auxiliary heating is dominant (10^3-10^5 Schwarzschild radii).

  3. Census: Location-Aware Membership Management for Large-Scale Distributed Systems

    E-Print Network [OSTI]

    Cowling, James Alexander

    We present Census, a platform for building large-scale distributed applications. Census provides a membership service and a multicast mechanism. The membership service provides every node with a consistent view of the ...

  4. Energy Distribution of a Stringy Charged Black Hole

    E-Print Network [OSTI]

    Ragab M. Gad

    2003-06-22T23:59:59.000Z

    The energy distribution associated with a stringy charged black hole is studied using M{\\o}ller's energy-momentum complex. Our result is reasonable and it differs from that known in literature using Einstein's energy-momentum complex.

  5. Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty

    E-Print Network [OSTI]

    Siddiqui, Afzal

    2010-01-01T23:59:59.000Z

    of Distributed Energy Resources and Demand Response underof Distributed Energy Resources and Demand Response underof Distributed Energy Resources and Demand Response under

  6. Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty

    E-Print Network [OSTI]

    Siddiqui, Afzal

    2010-01-01T23:59:59.000Z

    Control of Distributed Energy Resources and Demand ResponseControl of Distributed Energy Resources and Demand Responseinstalled distribution energy resources (DER) in the form of

  7. Distributed energy resources in practice: A case study analysis and validation of LBNL's customer adoption model

    E-Print Network [OSTI]

    Bailey, Owen; Creighton, Charles; Firestone, Ryan; Marnay, Chris; Stadler, Michael

    2003-01-01T23:59:59.000Z

    Pharmingen Distributed Energy Resources in Practice Tablemany regions. Distributed Energy Resources in Practice 10.of µGrid Distributed Energy Resource Potential Using DER-CAM

  8. Distributed Energy Resources at Naval Base Ventura County Building 1512: A Sensitivity Analysis

    E-Print Network [OSTI]

    Bailey, Owen C.; Marnay, Chris

    2005-01-01T23:59:59.000Z

    2003. “Distributed Energy Resources in Practice: A Case2004. “Distributed Energy Resources Customer Adoption ModelDistributed Energy Resource Technology Characterizations”

  9. The Column Density Distribution of the Lyman-Alpha Forest: A Measure of Small Scale Power

    E-Print Network [OSTI]

    Lam Hui; Nickolay Y. Gnedin; Yu Zhang

    1997-02-19T23:59:59.000Z

    Absorption lines in the Lyman-alpha forest can be thought of as peaks in neutral hydrogen density along lines of sight. The column density distribution (the number density of absorption lines as a function of column density) is then a statistic of density peaks, which contains information about the underlying power spectrum. In particular, we show that the slope of the distribution provides a measure of power on scales smaller than those probed by studies of present-day large scale structure.

  10. Spectral energy distribution for GJ406

    E-Print Network [OSTI]

    Ya. V. Pavlenko; H. R. A. Jones; Yu. Lyubchik; J. Tennyson; D. J. Pinfield

    2005-10-19T23:59:59.000Z

    We present results of modelling the bulk of the spectral energy distribution (0.35 - 5 micron) for GJ406 (M6V). Synthetic spectra were calculated using the NextGen, Dusty and Cond model atmospheres and incorporate line lists for H2O, TiO, CrH, FeH, CO, MgH molecules as well as the VALD line list of atomic lines. A comparison of synthetic and observed spectra gives Tef = 2800 +/- 100 K. We determine M$_bol = 12.13 +/- 0.10 for which evolutionary models by Baraffe et al. (2003) suggest an age of around 0.1 -- 0.35 Gyr consistent with its high activity. The age and luminosity of GJ406 correspond to a wide range of plausible masses (0.07 -- 0.1 Msun).

  11. Large-Scale Eucalyptus Energy Farms and Power Cogeneration1

    E-Print Network [OSTI]

    Standiford, Richard B.

    Large-Scale Eucalyptus Energy Farms and Power Cogeneration1 Robert C. Noronla2 The initiation of a large-scale cogeneration project, especially one that combines construction of the power generation supplemental fuel source must be sought if the cogeneration facility will consume more fuel than

  12. Energy conservation and scaling violations in particle production

    E-Print Network [OSTI]

    J. Dias de Deus; J. G. Milhano

    2008-03-15T23:59:59.000Z

    We use a simple Colour Glass Condensate/String Percolation Model argument to show the existence, due to energy conservation, of bounds to the violation of Feynman scaling and limiting fragmentation.

  13. Commercial-Scale Renewable Energy Project Development and Finance...

    Office of Environmental Management (EM)

    and Finance Workshop: Colorado Commercial-Scale Renewable Energy Project Development and Finance Workshop: Colorado July 9, 2013 - 5:27pm Addthis July 9-11, 2013 Golden, Colorado...

  14. Enhancements in Continuous-Energy Monte Carlo Capabilities in SCALE

    SciTech Connect (OSTI)

    Bekar, Kursat B [ORNL] [ORNL; Celik, Cihangir [ORNL] [ORNL; Wiarda, Dorothea [ORNL] [ORNL; Peplow, Douglas E. [ORNL] [ORNL; Rearden, Bradley T [ORNL] [ORNL; Dunn, Michael E [ORNL] [ORNL

    2013-01-01T23:59:59.000Z

    Monte Carlo tools in SCALE are commonly used in criticality safety calculations as well as sensitivity and uncertainty analysis, depletion, and criticality alarm system analyses. Recent improvements in the continuous-energy data generated by the AMPX code system and significant advancements in the continuous-energy treatment in the KENO Monte Carlo eigenvalue codes facilitate the use of SCALE Monte Carlo codes to model geometrically complex systems with enhanced solution fidelity. The addition of continuous-energy treatment to the SCALE Monaco code, which can be used with automatic variance reduction in the hybrid MAVRIC sequence, provides significant enhancements, especially for criticality alarm system modeling. This paper describes some of the advancements in continuous-energy Monte Carlo codes within the SCALE code system.

  15. Energy performance of underfloor air distribution systems

    E-Print Network [OSTI]

    Bauman, Fred; Webster, Tom; Linden, Paul; Buhl, Fred

    2007-01-01T23:59:59.000Z

    whole? building energy simulation program EnergyPlus that whole?building energy simulation program, to allow design validated whole?building energy simulation program of its 

  16. Micro and small-scale generation in urban distribution networks 

    E-Print Network [OSTI]

    Acosta Alvarez, Jorge Luis; Alvarez, Jorge Luis Acosta; Acosta, Jorge Luis

    2013-07-01T23:59:59.000Z

    As the world moves towards a more sustainable development, the energy coming from fossil fuels still produces the greenhouse gases that threaten the world’s climate. The UK government has established targets for the ...

  17. Utility Scale Solar 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 beingZealand Jump to:Ezfeedflag JumpID-fTri Global EnergyUtility Rate Home > UtilityUtility RatePalo Alto,

  18. Monetary Awards Scale | Department of Energy

    Energy Savers [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 directed offOCHCO2:Introduction toManagement of the National 93-4EnergyMissionIllnessMohammedMona

  19. Distributed Energy Fuel Cells Electricity Users

    E-Print Network [OSTI]

    Distributed Power Package Unit: Fuel Processing Based On Autothermal Cyclic Reforming · Proton Conducting

  20. Confined energy distribution for charged particle beams

    DOE Patents [OSTI]

    Jason, Andrew J. (Los Alamos, NM); Blind, Barbara (Los Alamos, NM)

    1990-01-01T23:59:59.000Z

    A charged particle beam is formed to a relatively larger area beam which is well-contained and has a beam area which relatively uniformly deposits energy over a beam target. Linear optics receive an accelerator beam and output a first beam with a first waist defined by a relatively small size in a first dimension normal to a second dimension. Nonlinear optics, such as an octupole magnet, are located about the first waist and output a second beam having a phase-space distribution which folds the beam edges along the second dimension toward the beam core to develop a well-contained beam and a relatively uniform particle intensity across the beam core. The beam may then be expanded along the second dimension to form the uniform ribbon beam at a selected distance from the nonlinear optics. Alternately, the beam may be passed through a second set of nonlinear optics to fold the beam edges in the first dimension. The beam may then be uniformly expanded along the first and second dimensions to form a well-contained, two-dimensional beam for illuminating a two-dimensional target with a relatively uniform energy deposition.

  1. Distributed Sampling-Based Roadmap of Trees for Large-Scale Motion Planning

    E-Print Network [OSTI]

    Kavraki, Lydia E.

    Distributed Sampling-Based Roadmap of Trees for Large-Scale Motion Planning Erion Plaku and Lydia E of the Sampling-based Roadmap of Trees (SRT) algorithm using a decentralized master-client scheme. The distributed that similar speedups can be obtained with several hundred processors. Index Terms-- motion planning, roadmap

  2. Distributed Energy Resources for Carbon Emissions Mitigation

    E-Print Network [OSTI]

    Firestone, Ryan; Marnay, Chris

    2008-01-01T23:59:59.000Z

    and thermal equipment, and energy storage - collectivelysolar thermal collectors, and energy storage devices can be

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

    SciTech Connect (OSTI)

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

    2007-06-01T23:59:59.000Z

    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.

  4. Impact of Utility-Scale Distributed Wind on Transmission-Level System Operations

    SciTech Connect (OSTI)

    Brancucci Martinez-Anido, C.; Hodge, B. M.

    2014-09-01T23:59:59.000Z

    This report presents a new renewable integration study that aims to assess the potential for adding distributed wind to the current power system with minimal or no upgrades to the distribution or transmission electricity systems. It investigates the impacts of integrating large amounts of utility-scale distributed wind power on bulk system operations by performing a case study on the power system of the Independent System Operator-New England (ISO-NE).

  5. Modeling of Field Distribution and Energy Storage in Diphasic Dielectrics

    E-Print Network [OSTI]

    Koledintseva, Marina Y.

    Modeling of Field Distribution and Energy Storage in Diphasic Dielectrics S. K. Patil, M. Y, USA Modeling of electrostatic field distribution and energy storage in diphasic dielectrics containing to the increased energy storage density. For composites with lower volume fractions of high-permittivity inclusions

  6. Non resonant transmission modelling with Statistical modal Energy distribution Analysis

    E-Print Network [OSTI]

    Boyer, Edmond

    be used as an alternative to Statistical Energy Analysis for describing subsystems with low modal overlap1 Non resonant transmission modelling with Statistical modal Energy distribution Analysis L. Maxit Capelle, F-69621 Villeurbanne Cedex, France Statistical modal Energy distribution Analysis (SmEdA) can

  7. Collaborative Broker for Distributed Energy Resources Joo Carlos Ferreira1

    E-Print Network [OSTI]

    da Silva, Alberto Rodrigues

    knowledge. The energy broker uses an Information Communication Technology (ICT) network in orderCollaborative Broker for Distributed Energy Resources João Carlos Ferreira1 , Alberto Rodrigues da the design of a system to handle Distributed Energy Resources (DER), which is a new reality due

  8. Energy Distribution of Nanoflares in Three-Dimensional Simulations of

    E-Print Network [OSTI]

    Ng, Chung-Sang

    Energy Distribution of Nanoflares in Three-Dimensional Simulations of Coronal Heating Chung-Sang Ng-dimensional direct simulations due to obvious numerical difficulties. We will present energy distributions and other;3D Simulation of Parker's model · Magnetic energy limited by disruptions. ==0.000625(64x64x16) =0

  9. The Impact of Distributed Programming Abstractions on Application Energy Consumption

    E-Print Network [OSTI]

    Tilevich, Eli

    The Impact of Distributed Programming Abstractions on Application Energy Consumption Young-Woo Kwon of their energy consumption patterns. By varying the abstractions with the rest of the functionality fixed, we measure and analyze the impact of distributed programming abstractions on application energy consumption

  10. Community-Scale Development | Department of Energy

    Office of Environmental Management (EM)

    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 1,613PortsmouthBartlesville EnergyDepartment. CashDay-JuneOfficeFresno

  11. Property:Scale Test | 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 is set byisPropertycustomers.Property

  12. Ground state energy scaling laws during the onset and destruction

    E-Print Network [OSTI]

    @cims.nyu.edu; Courant Institute, New York University, New York, NY 10012, USA 4 otto@iam.uni-bonn.de; Institut fGround state energy scaling laws during the onset and destruction of the intermediate state Abstract The intermediate state of a type-I superconductor is a classical ex- ample of energy

  13. Estimating the Benefits and Costs of Distributed Energy Technologies...

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

    - Carl Imhoff, PNNL More Documents & Publications Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Day 1 Presentations Estimating the...

  14. Improving Energy Efficiency by Developing Components for Distributed...

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

    Develop distributed HVAC components to supplement the central HVAC system to reduce the energy required by current compressed gas air conditioners by at least one-third....

  15. Improving Energy Efficiency by Developing Components for Distributed...

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

    Modeling Thermoelectric (TE) HVAC Improving Energy Efficiency by Developing Components for Distributed Cooling and Heating Based on Thermal Comfort Modeling Thermoelectric (TE)...

  16. Improving Energy Efficiency by Developing Components for Distributed...

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

    Thermoelectric (TE) HVAC Improving Energy Efficiency by Developing Components for Distributed Cooling and Heating Based on Thermal Comfort Modeling Thermoelectric (TE) HVAC...

  17. Flexible Distributed Energy & Water from Waste for the Food ...

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

    2014 2011 CHPIndustrial Distributed Energy R&D Portfolio Review - Summary Report Biogas Opportunities Roadmap Advanced Manufacturing Home Key Activities Research &...

  18. Modeling of Thermal Storage Systems in MILP Distributed Energy Resource Models

    E-Print Network [OSTI]

    Steen, David

    2014-01-01T23:59:59.000Z

    and a Ph.D. in Energy and Resources, all from the Universityof distributed energy resources," in Power and EnergyPouresmaeil, "Distributed energy resources and benefits to

  19. The value of schedule update frequency on distributed energy storage performance in renewable energy

    E-Print Network [OSTI]

    Boyer, Edmond

    The value of schedule update frequency on distributed energy storage performance in renewable of Distributed Energy Storage devices for Renewable Energy integration. The primary objective is to describe scheduling on the storage performance in renewable energy integration. Optimal schedules of Distributed

  20. Industrial Distributed Energy: Combined Heat & Power

    Office of Energy Efficiency and Renewable Energy (EERE)

    Information about the Department of Energy’s Industrial Technologies Program and its Combined Heat and Power program.

  1. Gas-Fired Distributed Energy Resource Technology Characterizations

    SciTech Connect (OSTI)

    Goldstein, L.; Hedman, B.; Knowles, D.; Freedman, S. I.; Woods, R.; Schweizer, T.

    2003-11-01T23:59:59.000Z

    The U. S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) is directing substantial programs in the development and encouragement of new energy technologies. Among them are renewable energy and distributed energy resource technologies. As part of its ongoing effort to document the status and potential of these technologies, DOE EERE directed the National Renewable Energy Laboratory to lead an effort to develop and publish Distributed Energy Technology Characterizations (TCs) that would provide both the department and energy community with a consistent and objective set of cost and performance data in prospective electric-power generation applications in the United States. Toward that goal, DOE/EERE - joined by the Electric Power Research Institute (EPRI) - published the Renewable Energy Technology Characterizations in December 1997.As a follow-up, DOE EERE - joined by the Gas Research Institute - is now publishing this document, Gas-Fired Distributed Energy Resource Technology Characterizations.

  2. Quantitative Assessment of Distributed Energy Resource Benefits

    SciTech Connect (OSTI)

    Hadley, S.W.

    2003-05-22T23:59:59.000Z

    Distributed energy resources (DER) offer many benefits, some of which are readily quantified. Other benefits, however, are less easily quantifiable because they may require site-specific information about the DER project or analysis of the electrical system to which the DER is connected. The purpose of this study is to provide analytical insight into several of the more difficult calculations, using the PJM power pool as an example. This power pool contains most of Pennsylvania, New Jersey, Maryland, and Delaware. The techniques used here could be applied elsewhere, and the insights from this work may encourage various stakeholders to more actively pursue DER markets or to reduce obstacles that prevent the full realization of its benefits. This report describes methodologies used to quantify each of the benefits listed in Table ES-1. These methodologies include bulk power pool analyses, regional and national marginal cost evaluations, as well as a more traditional cost-benefit approach for DER owners. The methodologies cannot however determine which stakeholder will receive the benefits; that must be determined by regulators and legislators, and can vary from one location to another.

  3. Fact Sheet: Grid-Scale Energy Storage Demonstration Using UltraBattery...

    Office of Environmental Management (EM)

    Grid-Scale Energy Storage Demonstration Using UltraBattery Technology (August 2013) Fact Sheet: Grid-Scale Energy Storage Demonstration Using UltraBattery Technology (August 2013)...

  4. Distributed Power Delivery for Energy Efficient and Low Power Systems

    E-Print Network [OSTI]

    Friedman, Eby G.

    Distributed Power Delivery for Energy Efficient and Low Power Systems Selc¸uk K¨ose Department throughout a power distribution system. Due to the parasitic impedances of the power distribution networks current to the load circuits [3]. The complexity of the high performance power delivery systems has

  5. 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...

  6. RELIABILITY PLANNING IN DISTRIBUTED ELECTRIC ENERGY SYSTEMS

    E-Print Network [OSTI]

    Kahn, E.

    2011-01-01T23:59:59.000Z

    and deal only with solar cogeneration units that are assumedand Distributed. cogeneration). These provide just underparameters. as conventional cogeneration units. technologies

  7. Energy Department Announces Distributed Wind Competitiveness...

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

    for projects led by Pika Energy, Northern Power Systems, Endurance Wind Power, and Urban Green Energy that will help drive down the cost of small and medium-sized wind energy...

  8. Energy performance of underfloor air distribution systems

    E-Print Network [OSTI]

    Bauman, Fred; Webster, Tom; Linden, Paul; Buhl, Fred

    2007-01-01T23:59:59.000Z

    HVAC  energy  for  large  office  building  new  construction  for  given UFAD  market HVAC energy  for  large  office  building  new construction  for  given  UFAD market HVAC energy for large office building new construction for given UFAD market

  9. 2011 CHP/Industrial Distributed Energy R&D Portfolio Review ...

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

    11 CHPIndustrial Distributed Energy R&D Portfolio Review - Agenda 2011 CHPIndustrial Distributed Energy R&D Portfolio Review - Agenda Agenda for the CHP Industrial Distributed...

  10. Effects of Distributed Energy Resources on Conservation Voltage Reduction (CVR)

    SciTech Connect (OSTI)

    Singh, Ruchi; Tuffner, Francis K.; Fuller, Jason C.; Schneider, Kevin P.

    2011-10-10T23:59:59.000Z

    Conservation Voltage Reduction (CVR) is one of the cheapest technologies which can be intelligently leveraged to provide considerable energy savings. The addition of renewables in the form of distributed resources can affect the entire power system, but more importantly, affects the traditional substation control schemes at the distribution level. This paper looks at the effect on energy consumption, peak load reduction, and voltage profile changes due to the addition of distributed generation in a distribution feeder using combinations of volt var control. An IEEE 13-node system is used to simulate the various cases. Energy savings and peak load reduction for different simulation scenarios are compared.

  11. ITP Distributed Energy: CHP Project Development Handbook

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

    CHP. CHP is an efficient, clean, and reliable approach to generating power and thermal energy from a single fuel source. CHP can increase operational efficiency and decrease energy...

  12. Distributed Energy Resources Market Diffusion Model

    E-Print Network [OSTI]

    Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui, Afzal S.

    2006-01-01T23:59:59.000Z

    where both optimal installed capacity and profitability varyParameters DER-MaDiM Installed Capacity Energy Consumptiondifferent results, installed capacities, changes in energy

  13. Distributed Energy Resources for Carbon Emissions Mitigation

    E-Print Network [OSTI]

    Firestone, Ryan; Marnay, Chris

    2008-01-01T23:59:59.000Z

    photovoltaics, solar thermal collectors, and energy storagecooling, solar electric and thermal equipment, and energysolar thermal collectors coupled to absorption chillers are an economic approach to energy

  14. atom energy distributions: Topics by E-print Network

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

    atom energy distributions First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Energy distribution and...

  15. Designing pricing strategies for coordination of networked distributed energy resources

    E-Print Network [OSTI]

    Liberzon, Daniel

    Designing pricing strategies for coordination of networked distributed energy resources Bahman, by a group of distributed energy resources (DERs). The aggregator interacts with the wholesale electricity. The objective is for the aggregator to design a pricing strategy for incentivizing DERs to modify their active

  16. Distributed Sensor Coordination for Advanced Energy Systems

    SciTech Connect (OSTI)

    Tumer, Kagan

    2013-07-31T23:59:59.000Z

    The ability to collect key system level information is critical to the safe, efficient and reli- able operation of advanced energy systems. With recent advances in sensor development, it is now possible to push some level of decision making directly to computationally sophisticated sensors, rather than wait for data to arrive to a massive centralized location before a decision is made. This type of approach relies on networked sensors (called “agents” from here on) to actively collect and process data, and provide key control deci- sions to significantly improve both the quality/relevance of the collected data and the as- sociating decision making. The technological bottlenecks for such sensor networks stem from a lack of mathematics and algorithms to manage the systems, rather than difficulties associated with building and deploying them. Indeed, traditional sensor coordination strategies do not provide adequate solutions for this problem. Passive data collection methods (e.g., large sensor webs) can scale to large systems, but are generally not suited to highly dynamic environments, such as ad- vanced energy systems, where crucial decisions may need to be reached quickly and lo- cally. Approaches based on local decisions on the other hand cannot guarantee that each agent performing its task (maximize an agent objective) will lead to good network wide solution (maximize a network objective) without invoking cumbersome coordination rou- tines. There is currently a lack of algorithms that will enable self-organization and blend the efficiency of local decision making with the system level guarantees of global decision making, particularly when the systems operate in dynamic and stochastic environments. In this work we addressed this critical gap and provided a comprehensive solution to the problem of sensor coordination to ensure the safe, reliable, and robust operation of advanced energy systems. The differentiating aspect of the proposed work is in shift- ing the focus towards “what to observe” rather than “how to observe” in large sensor networks, allowing the agents to actively determine both the structure of the network and the relevance of the information they are seeking to collect. In addition to providing an implicit coordination mechanism, this approach allows the system to be reconfigured in response to changing needs (e.g., sudden external events requiring new responses) or changing sensor network characteristics (e.g., sudden changes to plant condition). Outcome Summary: All milestones associated with this project have been completed. In particular, private sensor objective functions were developed which are aligned with the global objective function, sensor effectiveness has been improved by using “sensor teams,” system efficiency has been improved by 30% using difference evaluation func- tions, we have demonstrated system reconfigurability for 20% changes in system con- ditions, we have demonstrated extreme scalability of our proposed algorithm, we have demonstrated that sensor networks can overcome disruptions of up to 20% in network conditions, and have demonstrated system reconfigurability to 20% changes in system conditions in hardware-based simulations. This final report summarizes how each of these milestones was achieved, and gives insight into future research possibilities past the work which has been completed. The following publications support these milestones [6, 8, 9, 10, 16, 18, 19].

  17. 752 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 24, NO. 2, MAY 2009 Large-Scale Distribution Planning--Part

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Católica de Chile)

    methodology for low-voltage distribution network planning. Combined optimization of transformers, "Large-scale distribution planning--Part I: Simultaneous network and transformer optimization" [1752 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 24, NO. 2, MAY 2009 Large-Scale Distribution Planning

  18. Electrochemical cells for medium- and large-scale energy storage

    SciTech Connect (OSTI)

    Wang, Wei; Wei, Xiaoliang; Choi, Daiwon; Lu, Xiaochuan; Yang, G.; Sun, C.

    2014-12-12T23:59:59.000Z

    This is one of the chapters in the book titled “Advances in batteries for large- and medium-scale energy storage: Applications in power systems and electric vehicles” that will be published by the Woodhead Publishing Limited. The chapter discusses the basic electrochemical fundamentals of electrochemical energy storage devices with a focus on the rechargeable batteries. Several practical secondary battery systems are also discussed as examples

  19. Charged particle rapidity distributions at relativistic energies 

    E-Print Network [OSTI]

    Lin, ZW; Pal, S.; Ko, Che Ming; Li, Ba; Zhang, B.

    2001-01-01T23:59:59.000Z

    Using a multiphase transport model (AMPT), which includes both initial partonic and final hadronic interactions, we study the rapidity distributions of charged particles such as protons, antiprotons, pions, and kaons in heavy ion collisions at RHIC...

  20. Sapphire Energy, Inc. Demonstration-Scale Project | 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'tOrigin ofEnergy atLLC - FE DKT. 10-160-LNG -Energy Proposed1-E Wholesale

  1. 2013 Commercial-Scale Tribal Renewable Energy Project Development and Finance Workshop Presentations and Agenda

    Broader source: Energy.gov [DOE]

    Presentations from the 2013 Commercial-Scale Tribal Renewable Energy Project Development and Finance Workshop

  2. RELIABILITY PLANNING IN DISTRIBUTED ELECTRIC ENERGY SYSTEMS

    E-Print Network [OSTI]

    Kahn, E.

    2011-01-01T23:59:59.000Z

    Wind Energy Statistics for Large Arrays of Wind Turbines (wind energy program is based on such a design Therefore Justus, for example, has found that a is cubic, wind turbine

  3. Distributed Energy Resources for Carbon Emissions Mitigation

    E-Print Network [OSTI]

    Firestone, Ryan; Marnay, Chris

    2008-01-01T23:59:59.000Z

    tax increases, larger solar collector/absorption chillerphotovoltaics, solar thermal collectors, and energy storagecapacity of solar thermal collectors carbon emissions

  4. Distributed Energy Resources for Carbon Emissions Mitigation

    E-Print Network [OSTI]

    Firestone, Ryan; Marnay, Chris

    2008-01-01T23:59:59.000Z

    CHP investment. However, solar thermal collectors coupled to absorption chillers are an economic approach to energy cost

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

    E-Print Network [OSTI]

    Stadler, Michael

    2010-01-01T23:59:59.000Z

    2003), “Distributed Energy Resources Customer AdoptionGas-Fired Distributed Energy Resource Characterizations,”National Renewable Energy Resource Laboratory, Golden, CO,

  6. Distributed Energy Resources On-Site Optimization for Commercial Buildings with Electric and Thermal Storage Technologies

    E-Print Network [OSTI]

    Stadler, Michael

    2008-01-01T23:59:59.000Z

    Gas-Fired Distributed Energy Resource Characterizations”,National Renewable Energy Resource Laboratory, Golden, CO,Edwards, “Distributed Energy Resources Customer Adoption

  7. Distributed energy resources customer adoption modeling with combined heat and power applications

    E-Print Network [OSTI]

    Siddiqui, Afzal S.; Firestone, Ryan M.; Ghosh, Srijay; Stadler, Michael; Edwards, Jennifer L.; Marnay, Chris

    2003-01-01T23:59:59.000Z

    Alex Farrell of the Energy and Resources Group, UniversityMicrogrid Distributed Energy Resource Potential Using DER-of Distributed Energy Resources: The CERTS MicroGrid

  8. 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.

  9. Large Scale Distribution of Stochastic Control Algorithms for Gas Storage Constantinos Makassikis, Stephane Vialle

    E-Print Network [OSTI]

    Vialle, Stéphane

    Large Scale Distribution of Stochastic Control Algorithms for Gas Storage Valuation Constantinos algorithm which is applied to gas storage valuation, and presents its experimental performances on two PC achieved in the field of gas storage valuation (see [2, 3] for example). As a result, many different price

  10. Mining for Statistical Models of Availability in Large-Scale Distributed Systems

    E-Print Network [OSTI]

    Kondo, Derrick

    Mining for Statistical Models of Availability in Large-Scale Distributed Systems: An Empirical and Telecommunication Systems (MASCOTS 2009) B. Javadi (INRIA) Statistical Models of Availability MASCOTS 2009 1 / 34) Statistical Models of Availability MASCOTS 2009 2 / 34 #12;Introduction and Motivation P2P, Grid, Cloud

  11. Damage detection on a full-scale highway sign structure with a distributed wireless sensor network

    E-Print Network [OSTI]

    Lu, Chenyang

    Damage detection on a full-scale highway sign structure with a distributed wireless sensor network highway sign support structure to investigate the ability to use vibration response data to detect damage induced in the structure. A multi-level damage detection strategy is employed for this structure

  12. Large-Scale Oceanographic Constraints on the Distribution of Melting and Freezing under Ice Shelves

    E-Print Network [OSTI]

    Gnanadesikan, Anand

    Large-Scale Oceanographic Constraints on the Distribution of Melting and Freezing under Ice Shelves received 10 October 2007, in final form 11 March 2008) ABSTRACT Previous studies suggest that ice shelves. Introduction Fifty percent of the Antarctic coastline is fringed by ice shelves (floating extensions

  13. Large-Scale Renewable Energy Guide | 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 YourTransport(FactDepartment ofLetter Report:40PM toLEDControlDepartment of Energy

  14. TEMPERATURE DISTRIBUTION AND ENERGY BALANCE IN THE ELECTRODE DURING GMAW

    E-Print Network [OSTI]

    Eagar, Thomas W.

    I ll l ). TEMPERATURE DISTRIBUTION AND ENERGY BALANCE IN THE ELECTRODE DURING GMAW Yong-Seog Kim and Energy Balance in the Electrode during GMAW by Yong-Seog Kim and T.W. Eagar Department of Materials shielding gases (argon, helium, and C02) using the PHOENICS computer code. An energy balance analysis

  15. Utility-Scale Solar through the Years | Department of Energy

    Energy Savers [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 directed off Energy.gov. Are you sure you wantJoin us for|Idahothe NewUtility-Scale Solar through the Years

  16. Watershed Scale Optimization to Meet Sustainable Cellulosic Energy Crop Demands

    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 DensityEnergy U.S.-China Electric Vehicle and03/02ReportWaste-to-Energy andAprilWater andWatershed Scale

  17. Sandia National Laboratories: distributed energy resources

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

    Microgrid, Modeling & Analysis, News, News & Events, Partnership, Renewable Energy, SMART Grid, Systems Analysis, Systems Engineering Mayor Says New System Will 'Keep Everyone...

  18. Impact of Distribution-Connected Large-Scale Wind Turbines on Transmission System Stability during Large Disturbances: Preprint

    SciTech Connect (OSTI)

    Zhang, Y.; Allen, A.; Hodge, B. M.

    2014-02-01T23:59:59.000Z

    This work examines the dynamic impacts of distributed utility-scale wind power during contingency events on both the distribution system and the transmission system. It is the first step toward investigating high penetrations of distribution-connected wind power's impact on both distribution and transmission stability.

  19. Picking up the PACE : a new tool for financing energy efficiency and distributed renewable energy

    E-Print Network [OSTI]

    Dadakis, Jacquelyn (Jacquelyn MacKenzie)

    2010-01-01T23:59:59.000Z

    This thesis describes the potential of new legislation in Louisiana to provide municipal financing for energy efficient building retrofits and distributed renewable energy. First, the thesis identifies how energy efficiency ...

  20. Anisotropic small-scale constraints on energy in rotating stratified turbulence

    E-Print Network [OSTI]

    Susan Kurien; Beth Wingate; Mark Taylor

    2007-06-19T23:59:59.000Z

    Rapidly rotating, stably stratified three-dimensional inviscid flows conserve both energy and potential enstrophy. We show that in such flows, the forward cascade of potential enstrophy imposes anisotropic constraints on the wavenumber distribution of kinetic and potential energy. The horizontal kinetic energy is suppressed in the large, nearly horizontal wave modes, and should decay with the horizontal wavenumber as $k_h^{-3}$. The potential energy is suppressed in the large, nearly vertical wave modes, and should decay with the vertical wavenumber as $k_z^{-3}$. These results augment the only other exact prediction for the scaling of energy spectra due to constraints by potential enstrophy obtained by Charney (J. Atmos. Sci. 28, 1087 (1971)), who showed that in the quasi-geostrophic approximation for rotating stratified flows, the energy spectra must scale isotropically with total wavenumber as $k^{-3}$. We test our predicted scaling estimates using resolved numerical simulations of the Boussinesq equations in the relevant parameter regimes, and find reasonable agreement.

  1. Free energy of cluster formation and a new scaling relation for the nucleation rate

    SciTech Connect (OSTI)

    Tanaka, Kyoko K.; Tanaka, Hidekazu [Institute of Low Temperature Science, Hokkaido University, Sapporo 060-0819 (Japan)] [Institute of Low Temperature Science, Hokkaido University, Sapporo 060-0819 (Japan); Diemand, Jürg; Angélil, Raymond [Institute for Computational Science, University of Zürich, 8057 Zürich (Switzerland)] [Institute for Computational Science, University of Zürich, 8057 Zürich (Switzerland)

    2014-05-21T23:59:59.000Z

    Recent very large molecular dynamics simulations of homogeneous nucleation with (1 ? 8) ×?10{sup 9} Lennard-Jones atoms [J. Diemand, R. Angélil, K. K. Tanaka, and H. Tanaka, J. Chem. Phys. 139, 074309 (2013)] allow us to accurately determine the formation free energy of clusters over a wide range of cluster sizes. This is now possible because such large simulations allow for very precise measurements of the cluster size distribution in the steady state nucleation regime. The peaks of the free energy curves give critical cluster sizes, which agree well with independent estimates based on the nucleation theorem. Using these results, we derive an analytical formula and a new scaling relation for nucleation rates: ln?J{sup ?}/? is scaled by ln?S/?, where the supersaturation ratio is S, ? is the dimensionless surface energy, and J{sup ?} is a dimensionless nucleation rate. This relation can be derived using the free energy of cluster formation at equilibrium which corresponds to the surface energy required to form the vapor-liquid interface. At low temperatures (below the triple point), we find that the surface energy divided by that of the classical nucleation theory does not depend on temperature, which leads to the scaling relation and implies a constant, positive Tolman length equal to half of the mean inter-particle separation in the liquid phase.

  2. Green queue : a framework for selecting energy optimal DVFS congurations in large scale MPI applications

    E-Print Network [OSTI]

    Peraza, Joshua

    2012-01-01T23:59:59.000Z

    settings . . . . . Green Queue Energy Savings with VariousApplication Figure 4.3: Green Queue Energy Savings withBlind Scaling Relative Energy Green Queue Relative Delay

  3. Progress in heavy ion drivers inertial fusion energy: From scaled experiments to the integrated research experiment

    E-Print Network [OSTI]

    2001-01-01T23:59:59.000Z

    ION DRIVEN INERTIAL FUSION ENERGY: FROM SCALED EXPERIMENTSThe promise of inertial fusion energy driven by heavy ionleading to an inertial fusion energy power plant. The focus

  4. Dark energy and extending the geodesic equations of motion: connecting the galactic and cosmological length scales

    E-Print Network [OSTI]

    Speliotopoulos, A. D.

    2010-01-01T23:59:59.000Z

    z RESEARCH ARTICLE Dark energy and extending the geodesicof motion using the Dark Energy length scale was proposed.observations. Keywords Dark energy · Galactic density pro?le

  5. Distributed Algorithms for Control of Demand Response and Distributed Energy Resources

    E-Print Network [OSTI]

    Liberzon, Daniel

    (DRRs), sign a contract with an aggregating entity--the demand response provider--so as their load canDistributed Algorithms for Control of Demand Response and Distributed Energy Resources Alejandro D networks. These algorithms are relevant for load curtailment control in demand response programs, and also

  6. DISTRIBUTED COGNITIVE MAC FOR ENERGY-CONSTRAINED OPPORTUNISTIC SPECTRUM ACCESS

    E-Print Network [OSTI]

    Islam, M. Saif

    Zhao Department of Electrical and Computer Engineering University of California, Davis, CA 94536 dynamics, channel fading statistics, and energy consumption characteristics of the secondary user.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any

  7. DOE Zero Energy Ready Home Efficient Hot Water Distribution I...

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

    I -- What's At Stake Webinar (Text Version) DOE Zero Energy Ready Home Efficient Hot Water Distribution I -- What's At Stake Webinar (Text Version) Below is the text version of the...

  8. DOE Zero Energy Ready Home Efficient Hot Water Distribution II...

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

    -- How to Get it Right Webinar (Text Version) DOE Zero Energy Ready Home Efficient Hot Water Distribution II -- How to Get it Right Webinar (Text Version) Below is the text...

  9. Tips: Booklet Distribution | Department of Energy

    Energy Savers [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 directed off Energy.gov. Are you sure you want toworldPower 2010 1 TNews & Solar Solar HowDucts

  10. Heat Distribution Systems | Department of Energy

    Energy Savers [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 directed off Energy.gov. Are you sure you want toworldPowerHome| Department

  11. Mail and Distribution | Department of Energy

    Energy Savers [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 directed off Energy.gov. Are you sure you wantJoin us for #SpaceWeek Join us forDepartment

  12. Nord Distribution Solaire | 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 Pwer PlantMunhall,Missouri: Energy Resources Jump to:Nigeria:LLCNon-Tectonic JumpNorco,Nord

  13. Energy Efficiency, Renewables, Advanced Transmission and Distribution

    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:RevisedAdvisoryStandard |in STEMEnergyI.of Energy Energy Efficiency

  14. DistributionDrive | 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 InformationSite

  15. Topography, energy and the global distribution of bird species richness

    E-Print Network [OSTI]

    Storch, David

    Topography, energy and the global distribution of bird species richness Richard G. Davies1,*, C data on the global distribution of extant continental and continental island bird species to test, 1988; Currie 1991; Allen et al. 2002). Its role is also argued to extend to the influence of solar

  16. Imprints of energy limitation in transverse momentum distributions of jets

    E-Print Network [OSTI]

    Rybczy?ski, Maciej

    2015-01-01T23:59:59.000Z

    Using a Tsallis nonextensive approach, we analyse distributions of transverse spectra of jets. We discuss the possible influence of energy conservation laws on these distributions. Transverse spectra of jets exhibit a power-law behavior of $1/p_T^n$ with the power indices $n$ similar to those for transverse spectra of hadrons.

  17. Energy optimization of water distribution system

    SciTech Connect (OSTI)

    Not Available

    1993-02-01T23:59:59.000Z

    In order to analyze pump operating scenarios for the system with the computer model, information on existing pumping equipment and the distribution system was collected. The information includes the following: component description and design criteria for line booster stations, booster stations with reservoirs, and high lift pumps at the water treatment plants; daily operations data for 1988; annual reports from fiscal year 1987/1988 to fiscal year 1991/1992; and a 1985 calibrated KYPIPE computer model of DWSD`s water distribution system which included input data for the maximum hour and average day demands on the system for that year. This information has been used to produce the inventory database of the system and will be used to develop the computer program to analyze the system.

  18. Isotopic Scaling and the Symmetry Energy in Spectator Fragmentation

    E-Print Network [OSTI]

    Auger, G; Begemann-Blaich, M L; Bellaize, N; Bittiger, R; Bocage, F; Borderie, B; Bougault, R; Bouriquet, B; Charvet, J L; Chbihi, A; Dayras, R; Durand, D; Frankland, J D; Galíchet, E; Gourio, D; Guinet, D; Hudan, S; Imme, G; Lautesse, P; Lavaud, F; Legrain, R; López, O; Lynen, U; Müller, W F J; Nalpas, L; Orth, H; Plagnol, E; Raciti, G; Rosato, E; Saija, A; Schwarz, C; Seidel, W; Sfienti, C; Tamain, B; Trautmann, W; Trzcinski, A; Turzó, K; Vient, E; Vigilante, M; Volant, C; Zwieglinski, B; Botvina, A S; The INDRA Collaboration

    2004-01-01T23:59:59.000Z

    Isotopic effects in the fragmentation of excited target residues following collisions of $^{12}$C on $^{112,124}$Sn at incident energies of 300 and 600 MeV per nucleon were studied with the INDRA 4$\\pi$ detector. The measured yield ratios for light particles and fragments with atomic number $Z \\leq$ 5 obey the exponential law of isotopic scaling. The deduced scaling parameters decrease with increasing centrality to values as low as $\\alpha = 0.25 \\pm 0.02$ for the central event group at 600 MeV per nucleon. Symmetry term coefficients, deduced from these data within the statistical description of isotopic scaling, are near $\\gamma =$ 25 MeV for peripheral and $\\gamma <$ 10 MeV for central collisions.

  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. Sandia Energy » Distribution Grid Integration

    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:Energy: Grid Integration Redefining What's PossibleRadiationImplementingnpitche Home About npitche This author hasSandia Student Wins Best

  1. An Evaluation of the Network Simulators in Large-Scale Distributed Simulations

    SciTech Connect (OSTI)

    Ciraci, Selim; Akyol, Bora A.

    2011-11-13T23:59:59.000Z

    This is a survey paper about the state-of-the-art in large-scale network simulation. Networks for the smart grids are characterized by millions of sensor nodes exchanging information about the status of the grid. This information exchange must be realized reliably and efficiently due to the mission critical nature of the power grid. Hence, the applications and the network protocols developed for the smart grid need go through rigorous testing and analysis before deployment. Developers usually do not have access to such a large-scale network that can be used as a controlled test-bed; therefore, network simulation becomes an essential tool for testing. Network simulation is a well studied problem in the literature and there are various widely used network simulators. These simulators can be adopted for testing applications and protocols of the smart grid. Due to the scale of these networks, parallel/distributed simulations need to be conducted. Even though most network simulators support distributed simulations, generating a large-scale network model to simulate can still be a cumbersome task. In this survey, we describe a selection of commonly used network simulators and evaluate them with respect to the following features that can aid users in distributed simulations of large-scale networks: transparency of setting up distributed simulation, automated topology generation, information hiding, lightweight routing protocols, network error simulation, evaluation of the network model during simulation and trace analysis tools. As a complementary result, we identify two issues with network simulators that can be addressed with runtime steering methods.

  2. Distributed Control of Residential Energy Systems using a Market Maker

    E-Print Network [OSTI]

    Knobloch,Jürgen

    , in particular reverse power flow during daytime periods of peak generation coupled with low residential load distribution networks and shave peak demand without large-scale capital costs for feeder replacement.weller}@newcastle.edu.au) Abstract: The recent rapid uptake of residential solar photovoltaic (PV) installations provides many

  3. The dune size distribution and scaling relations of barchan dune fields

    E-Print Network [OSTI]

    Orencio Durán; Veit Schwämmle; Pedro G. Lind; Hans J. Herrmann

    2008-10-27T23:59:59.000Z

    Barchan dunes emerge as a collective phenomena involving the generation of thousands of them in so called barchan dune fields. By measuring the size and position of dunes in Moroccan barchan dune fields, we find that these dunes tend to distribute uniformly in space and follow an unique size distribution function. We introduce an analyticalmean-field approach to show that this empirical size distribution emerges from the interplay of dune collisions and sand flux balance, the two simplest mechanisms for size selection. The analytical model also predicts a scaling relation between the fundamental macroscopic properties characterizing a dune field, namely the inter-dune spacing and the first and second moments of the dune size distribution.

  4. Distributed-scale Renewable Energy Projects (Smaller than 10 MWs)

    Broader source: Energy.gov [DOE]

    Operations and maintenance (O&M) measurement tends to focus on reliability as the sole metric. Every Federal agency wants a reliable facility, but this metric alone is not enough to build a successful O&M program.

  5. Energy Efficiency, Renewables, Advanced Transmission and Distribution

    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 RegisterHydrogenDistribution Technologies Issued: July 29, 2009

  6. Charmonium Transverse Momentum Distribution in High Energy Nuclear Collisions

    E-Print Network [OSTI]

    Zebo Tang; Nu Xu; Kai Zhou; Pengfei Zhuang

    2014-09-19T23:59:59.000Z

    The Charmonium transverse momentum distribution is more sensitive to the nature of the hot QCD matter created in high energy nuclear collisions, in comparison with the yield. Taking a detailed transport approach for charmonium motion together with a hydrodynamic description for the medium evolution, the cancelation between the two hot nuclear matter effects, the dissociation and the regeneration, controls the charmonium transverse momentum distribution. Especially, the second moment of the distribution can be used to differentiate between the hot mediums produced at SPS, RHIC and LHC energies.

  7. Property:Full-Scale Test | 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: navigation,Full-Scale

  8. Property:PotentialRuralUtilityScalePVArea | 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 JumpPotentialRuralUtilityScalePVArea Jump to: navigation, search

  9. Property:PotentialRuralUtilityScalePVCapacity | 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 JumpPotentialRuralUtilityScalePVArea Jump to: navigation,

  10. Property:PotentialRuralUtilityScalePVGeneration | 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 JumpPotentialRuralUtilityScalePVArea Jump to:

  11. Property:PotentialUrbanUtilityScalePVArea | 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 JumpPotentialRuralUtilityScalePVArea Jump

  12. Property:PotentialUrbanUtilityScalePVCapacity | 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 JumpPotentialRuralUtilityScalePVArea

  13. IPCC Data Distribution Centre | 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 Jump to: navigation, search OpenEIHesperia,IDGWP Wind Farm Jump to:ILab Incubator PtyION

  14. Distributed Power 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 directedAnnual SiteofEvaluating A Potential Microhydro SiteDaytonDestilariaDirectDirectCalculator Jump

  15. Distributed Energy Technology Characterization (Desiccant Technologies),

    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 Energy

  16. Distributed Energy Technology Simulator: Microturbine Demonstration,

    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 EnergyOctober

  17. 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

  18. Time-resolved ion energy distribution meas

    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:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003 (NextTime-Resolved Study of Bondingresolved

  19. 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

  20. US Solar Distributing | 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 withTianlin Baxin HydropowerTrinityTurnbullGlobal Map-Annex 1EIAUS

  1. Energy Dependent Growth of Nucleon and Inclusive Charged Hadron Distributions

    E-Print Network [OSTI]

    Hongmin Wang; Zhao-Yu Hou; Xian-Jing Sun

    2015-01-06T23:59:59.000Z

    In the Color Glass Condensate formalism, charged hadron p_{T} distributions in p+p collisions are studied by considering an energy-dependent broadening of nucleon's density distribution. Then, in the Glasma flux tube picture, the n-particle multiplicity distributions at different pseudo-rapidity ranges are investigated. Both of the theoretical results show good agreement with the recent experimental data from ALICE and CMS at \\sqrt{s}=0.9, 2.36, 7 TeV. The predictive results for p_{T} and multiplicity distributions in p+p and p+Pb collisions at the Large Hadron Collider are also given in this paper.

  2. Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty

    E-Print Network [OSTI]

    Siddiqui, Afzal

    2010-01-01T23:59:59.000Z

    Rio de Janeiro, Brazil Optimal Control of Distributed EnergyRio de Janeiro, Brazil Optimal Control of Distributed EnergyRio de Janeiro, Brazil Optimal Control of Distributed Energy

  3. Distributional Energy-Momentum Densities of Schwarzschild Space-Time

    E-Print Network [OSTI]

    Toshiharu Kawai; Eisaku Sakane

    1997-07-14T23:59:59.000Z

    For Schwarzschild space-time, distributional expressions of energy-momentum densities and of scalar concomitants of the curvature tensors are examined for a class of coordinate systems which includes those of the Schwarzschild and of Kerr-Schild types as special cases. The energy-momentum density $\\tilde T_\\mu^{\

  4. automated energy distribution: Topics by E-print Network

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

    automated energy distribution First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Automated Energy...

  5. activation energy distribution: Topics by E-print Network

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

    activation energy distribution First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Photoelectron energy...

  6. Distributed Construction and Maintenance of Bandwidth and Energy Efficient

    E-Print Network [OSTI]

    Korpeoglu, Ibrahim

    wireless RF technology designed initially for cable replacement at indoor places, but also supports usageDistributed Construction and Maintenance of Bandwidth and Energy Efficient Bluetooth Scatternets on simulations, the paper also presents the improvements in bandwidth-efficiency and reduction in energy

  7. Integration of Distributed Energy The CERTS MicroGrid Concept

    E-Print Network [OSTI]

    Resources The MicroGrid Concept Appendices Prepared for Transmission Reliability Program Office of PowerIntegration of Distributed Energy Resources The CERTS MicroGrid Concept CALIFORNIA ENERGY;Preface The U.S. Electricity Grid Today The U.S. electric power system is in the midst of a fundamental

  8. Inversion of field-scale partitioning tracer response for characterizing oil saturation distribution: a streamline approach

    E-Print Network [OSTI]

    Iliassov, Pavel Alexandrovich

    2000-01-01T23:59:59.000Z

    INVERSION OF FIELD-SCALE PARTITIONING TRACER RESPONSE FOR CHARACTERIZING OIL SATURATION DISTRIBUTION: A STREAMLINE APPROACH A Thesis by PAVEL ALEXANDROVICH ILIASSOV Submitted to the Office of Graduate Studies of Texas A&M University... A Thesis by PAVEL ALEXANDROVICH ILIASSOV Submitted to Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Approved as to style and content by: c 4- Akhil Datta-Gupta (Chair of Committee...

  9. Energy Department Announces Distributed Wind Competitiveness Improvement

    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 on Delicious Rank EERE: Alternative FuelsNovember 13,Statement | DepartmentBlog EnergyFuels |

  10. Articles about Distributed Wind | 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 on Delicious Rank EERE: Alternative Fuels DataEnergyDepartment ofATVMAgriculturalAn1(BENEFIT) -AprilEvents

  11. Fractal Dimensions of a Weakly Clustered Distribution and the Scale of Homogeneity

    E-Print Network [OSTI]

    J. S. Bagla; Jaswant Yadav; T. R. Seshadri

    2008-08-04T23:59:59.000Z

    Homogeneity and isotropy of the universe at sufficiently large scales is a fundamental premise on which modern cosmology is based. Fractal dimensions of matter distribution is a parameter that can be used to test the hypothesis of homogeneity. In this method, galaxies are used as tracers of the distribution of matter and samples derived from various galaxy redshift surveys have been used to determine the scale of homogeneity in the Universe. Ideally, for homogeneity, the distribution should be a mono-fractal with the fractal dimension equal to the ambient dimension. While this ideal definition is true for infinitely large point sets, this may not be realised as in practice, we have only a finite point set. The correct benchmark for realistic data sets is a homogeneous distribution of a finite number of points and this should be used in place of the mathematically defined fractal dimension for infinite number of points (D) as a requirement for approach towards homogeneity. We derive the expected fractal dimension for a homogeneous distribution of a finite number of points. We show that for sufficiently large data sets the expected fractal dimension approaches D in absence of clustering. It is also important to take the weak, but non-zero amplitude of clustering at very large scales into account. In this paper we also compute the expected fractal dimension for a finite point set that is weakly clustered. Clustering introduces departures in the Fractal dimensions from D and in most situations the departures are small if the amplitude of clustering is small. Features in the two point correlation function, like those introduced by Baryon Acoustic Oscillations (BAO) can lead to non-trivial variations in the Fractal dimensions where the amplitude of clustering and deviations from D are no longer related in a monotonic manner.

  12. On the spatial distribution of thermal energy in equilibrium

    E-Print Network [OSTI]

    Bar-Sinai, Yohai

    2015-01-01T23:59:59.000Z

    The equipartition theorem states that in equilibrium thermal energy is equally distributed among uncoupled degrees of freedom which appear quadratically in the system's Hamiltonian. However, for spatially coupled degrees of freedom --- such as interacting particles --- one may speculate that the spatial distribution of thermal energy may differ from the value predicted by equipartition, possibly quite substantially in strongly inhomogeneous/disordered systems. Here we show that in general the averaged thermal energy may indeed be inhomogeneously distributed, but is universally bounded from above by $\\frac{1}{2}k_BT$. In addition, we show that in one-dimensional systems with short-range interactions, the thermal energy is equally partitioned even for coupled degrees of freedom in the thermodynamic limit.

  13. 2011 CHP/Industrial Distributed Energy R&D Portfolio Review ...

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

    1 CHPIndustrial Distributed Energy R&D Portfolio Review - Summary Report 2011 CHPIndustrial Distributed Energy R&D Portfolio Review - Summary Report Summary report of the 2011...

  14. Optimal capacitor placement, replacement and control in large-scale unbalanced distribution systems: System modeling and a new formulation

    SciTech Connect (OSTI)

    Chiang, H.D.; Wang, J.C.; Tong, J. [Cornell Univ., Ithaca, NY (United States). School of Electrical Engineering; Darling, G. [NYSEG Corp., Binghamton, NY (United States). Distribution System Dept.

    1995-02-01T23:59:59.000Z

    This paper undertakes the problem of optimal capacitor placement, replacement and control in large-scale unbalanced, radial or loop distribution networks. The problem is how to optimally determine the locations to install (or replace, or remove) capacitors, the types and sizes of capacitors to be installed (or replaced) and, during each load level, the control schemes for each capacitor in the nodes of a general three-phase unbalanced distribution system such that a desired objective function is minimized while the load constraints, network constraints and operational constraints (e.g. the voltage profile) at different load levels are satisfied. The objective function considered consists of two terms: cost for energy loss and cost related to capacitor purchase, capacitor installation, capacitor replacement and capacitor removal. Comprehensive modelings of different components are presented which include primary power networks, three-phase transformers (different winding connections, off-nominal tap ratio, core and copper losses), co-generators, voltage sensitive load models for single-phase, two-phase and three-phase loads, shunt capacitors and reactors. The new problem is formulated as a combinatorial optimization problem with a non-differentiable objective function. The configuration space essential in the design of an annealing-based solution methodology for the new problem is derived. An effective solution methodology for solving the new problem and numerical studies on a realistic, unbalanced distribution network, a 291-bus with 305 distribution lines and 6 transformers, with varying loading conditions, will be presented in a companion paper.

  15. Optimal capacitor placement, replacement and control in large-scale unbalanced distribution systems: System modeling and a new formulation

    SciTech Connect (OSTI)

    Chiang, H.D.; Wang, J.C.; Tong, J. [Cornell Univ., Ithaca, NY (United States). School of Electrical Engineering; Darling, G. [NYSEG Corp., Binghamton, NY (United States). Distribution System Dept.

    1994-12-31T23:59:59.000Z

    This paper undertakes the problem of optimal capacitor placement, replacement and control in large-scale unbalanced, radial or loop distribution networks. The problem is how to optimally determine the locations to install (or replace, or remove) capacitors, the types and sizes of capacitors to be installed (or replaced) and, during each load level, the control schemes for each capacitor in the nodes of a general three-phase unbalanced distribution system such that a desired objective function is minimized while the load constraints, network constraints and operational constraints (e.g. the voltage profile) at different load levels are satisfied. The objective function considered consists of two terms: cost for energy loss and cost related to capacitor purchase, capacitor installation, capacitor replacement and capacitor removal. Comprehensive modelings of different components are presented which include primary power networks, three-phase transformers (different winding connections, off-nominal tap ratio, core and copper losses), co-generators, voltage sensitive load models for single-phase, two-phase and three-phase loads, shunt capacitors and rectors. The new problem is formulated as a combinational optimization problem with a non-differentiable objective function. The configuration space essential in the design of a annealing-based solution methodology for solving the new problem and numerical studies on a realistic, unbalanced distribution network, a 291-bus with 305 distribution lines and 6 transformers, with varying loading conditions, will be presented in a companion paper.

  16. Searching for Traces of Planck-Scale Physics with High Energy Neutrinos

    E-Print Network [OSTI]

    Floyd W. Stecker; Sean T. Scully; Stefano Liberati; David Mattingly

    2015-02-09T23:59:59.000Z

    High energy cosmic neutrino observations provide a sensitive test of Lorentz invariance violation, which may be a consequence of quantum gravity theories. We consider a class of non-renormalizable, Lorentz invariance violating operators that arise in an effective field theory description of Lorentz invariance violation in the neutrino sector inspired by Planck-scale physics and quantum gravity models. We assume a conservative generic scenario for the redshift distribution of extragalactic neutrino sources and employ Monte Carlo techniques to describe superluminal neutrino propagation, treating kinematically allowed energy losses of superluminal neutrinos caused by both vacuum pair emission and neutrino splitting. We consider EFTs with both non-renormalizable CPT-odd and non-renormalizable CPT-even operator dominance. We then compare the spectra derived using our Monte Carlo calculations in both cases with the spectrum observed by IceCube in order to determine the implications of our results regarding Planck-scale physics. We find that if the drop off in the neutrino flux above ~2 PeV is caused by Planck scale physics, rather than by a limiting energy in the source emission, a potentially significant pileup effect would be produced just below the drop off energy in the case of CPT-even operator dominance. However, such a clear drop off effect would not be observed if the CPT-odd, CPT-violating term dominates.

  17. Distributed Wind Turbines | Department of Energy

    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 1,006 492 742 33Frequently20,000 Russian NuclearandJunetrack graphics4Dimitri Kusnezov - Chief Scientist11 Three

  18. NREL: Electric Infrastructure Systems Research - Distributed Energy

    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 CodesTransparency Visit | NationalWebmaster To contactK-12 Students

  19. Annual Coal Distribution Report - Energy Information Administration

    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 40Coal Stocks at CommercialDecade Year-0 Year-1 Year-2Cubiccurrent Coal

  20. Annual Coal Distribution Report - Energy Information Administration

    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)gasoline prices4 OilU.S. OffshoreOil

  1. Tips: Booklet Distribution | Department of Energy

    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 1,006 492 742 33Frequently20,000 RussianBy:Whether you're a home builder1 of 12 Santiago Seage,The5,MarchofTips:

  2. NREL: Electric Infrastructure Systems Research - Distributed Energy

    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: National5Saleshttp://www.fnal.gov/directorate/nalcal/nalcal02_07_05_files/nalcal.gifNREL NRELChemicalIndustryIssuePhotoEducation

  3. Distributed Wind 2015 | 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:Revised Finding of No53197E T ADRAFTJanuary 2004 | DepartmentJanuary

  4. Distribution Grid Integration | 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:Revised Finding of No53197E T ADRAFTJanuary 2004 | DepartmentJanuaryVersionSystems

  5. Quarterly Coal Distribution Report - Energy Information Administration

    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) - HouseholdshortEIA-782A andS F J9Quarterly Coal

  6. Hydrogen Pathway Cost Distributions | 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 YourTransport(Fact Sheet), GeothermalGridHYDROGEND D e e&Funding andMaterialPathway Cost

  7. Electricity Transmission and Distribution Technologies - Energy Innovation

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnetEffectiveElectricApril 2015 |

  8. Distributed Automated Demand Response - Energy Innovation Portal

    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. Refining

  9. Fusion barrier distributions in systems with finite excitation energy

    E-Print Network [OSTI]

    K. Hagino; N. Takigawa; A. B. Balantekin

    1997-06-24T23:59:59.000Z

    Eigen-channel approach to heavy-ion fusion reactions is exact only when the excitation energy of the intrinsic motion is zero. In order to take into account effects of finite excitation energy, we introduce an energy dependence to weight factors in the eigen-channel approximation. Using two channel problem, we show that the weight factors are slowly changing functions of incident energy. This suggests that the concept of the fusion barrier distribution still holds to a good approximation even when the excitation energy of the intrinsic motion is finite. A transition to the adiabatic tunneling, where the coupling leads to a static potential renormalization, is also discussed.

  10. Playas Grid Reliability and Distributed Energy Research

    SciTech Connect (OSTI)

    Romero, Van; Weinkauf, Don; Khan, Mushtaq; Helgeson, Wes; Weedeward, Kevin; LeClerc, Corey; Fuierer, Paul

    2012-06-30T23:59:59.000Z

    The future looks bright for solar and renewable energies in the United States. Recent studies claim that by 2050, solar power could supply a third of all electricity demand in the country’s western states. Technology advances, soft policy changes, and increased energy consciousness will all have to happen to achieve this goal. But the larger question is, what would it take to do more throughout the United States? The studies tie future solar and renewable growth in the United States to programs that aim to lower the soft costs of solar adoption, streamline utility interconnections, and increase technology advances through research and development. At the state and local levels, the most important steps are: • Net metering: Net metering policies lets customers offset their electric bills with onsite solar and receive reliable and fair compensation for the excess electricity they provide to the grid. Not surprisingly, what utilities consider fair is not necessarily a rate that’s favorable to solar customers. • Renewable portfolio standards (RPS): RPS policies require utilities to provide a certain amount of their power from renewable sources; some set specific targets for solar and other renewables. California’s aggressive RPS1 of 33% renewable energy by 2020 is not bankrupting the state, or its residents. • Strong statewide interconnection policies: Solar projects can experience significant delays and hassles just to get connected to the grid. Streamlined feasibility and impact analysis are needed. Good interconnection policies are crucial to the success of solar or renewable energy development. • Financing options: Financing is often the biggest obstacle to solar adoption. Those obstacles can be surmounted with policies that support creative financing options like third-party ownership (TPO) and property assessed clean energy (PACE). Attesting to the significance of TPO is the fact that in Arizona, it accounted for 86% of all residential photovoltaic (PV) installations in Q1 20132. Policies beyond those at the state level are also important for solar. The federal government must play a role including continuation of the federal Investment tax credit,3 responsible development of solar resources on public lands, and support for research and development (R&D) to reduce the cost of solar and help incorporate large amounts of solar into the grid. The local level can’t be ignored. Local governments should support: solar rights laws, feed-in tariffs (FITs), and solar-friendly zoning rules. A great example of how effective local policies can be is a city like Gainesville, Florida4, whose FIT policy has put it on the map as a solar leader. This is particularly noteworthy because the Sunshine State does not appear anywhere on the list of top solar states, despite its abundant solar resource. Lancaster, California5, began by streamlining the solar permitting process and now requires solar on every new home. Cities like these point to the power of local policies, and the ability of local governments to get things done. A conspicuously absent policy is Community Choice energy6, also called community choice aggregation (CCA). This model allows local governments to pool residential, business, and municipal electricity loads and to purchase or generate on their behalf. It provides rate stability and savings and allows more consumer choice and local control. The model need not be focused on clean energy, but it has been in California, where Marin Clean Energy7, the first CCA in California, was enabled by a state law -- highlighting the interplay of state and local action. Basic net metering8 has been getting a lot of attention. Utilities are attacking it9 in a number of states, claiming it’s unfair to ratepayers who don’t go solar. On the other hand, proponents of net metering say utilities’ fighting stance is driven by worries about their bottom line, not concern for their customers. Studies in California10, Vermont11, New York12, and Texas13 have found that the benefits of net metering (like savings on investments

  11. ITP Industrial Distributed Energy: National Account Energy Alliance...

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

    DOCUMENT AVAILABILITY Reports produced after January 1, 1996, are generally available free via the U.S. Department of Energy (DOE) Information Bridge. Web site http:...

  12. Jet energy scale setting with "photon+Jet" events at LHC energies. Generalities, selection rules

    E-Print Network [OSTI]

    D. V. Bandourin; V. F. Konoplianikov; N. B. Skachkov

    2000-12-14T23:59:59.000Z

    "photon+Jet" events, based on the q~q-> g+photon and qg-> q+photon subprocesses, are proposed for jet energy scale setting and hadron calorimeter calibration at LHC energies. General features and selection criteria of "photon+Jet" events that would provide a good photon Pt - jet Pt balance are described. CMS detector geometry is taken as the basement.

  13. Energy Management of Steam Distribution Systems Through Energy Audits and Computerized Reporting Programs

    E-Print Network [OSTI]

    Rivers, N.; Mandzuk, N.

    ENERGY KANAGEKBNT OF STEAM DISTRIBUTION SYSTEMS THROUGH BNKRGY AUDITS AND COItPlTl'ERIZED REPORTING PROGRAtIS NORMAN J. RIVERS and HARTIN MANDZUK Armstrong Machine Works, Inc. Three Rivers, Michigan ABSTRACT This presentation will highlight... the economic losses associated with steam distribution systems and how to establish good energy management programs to reduce energy cost by 15 to 25 percent. Recognizing energy losses in steam systems involves I 1. Steam lost through defective valves...

  14. 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.

  15. Renewable Energy Training | Department of Energy

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

    to help Federal agencies understand and meet Federal energy management requirements with renewable energy technologies. Distributed-Scale Renewable Energy Projects: From Planning...

  16. Advanced, High Power, Next Scale, Wave Energy Conversion Device

    SciTech Connect (OSTI)

    Mekhiche, Mike [Principal Investigator] [Principal Investigator; Dufera, Hiz [Project Manager] [Project Manager; Montagna, Deb [Business Point of Contact] [Business Point of Contact

    2012-10-29T23:59:59.000Z

    The project conducted under DOE contract DE?EE0002649 is defined as the Advanced, High Power, Next Scale, Wave Energy Converter. The overall project is split into a seven?stage, gated development program. The work conducted under the DOE contract is OPT Stage Gate III work and a portion of Stage Gate IV work of the seven stage product development process. The project effort includes Full Concept Design & Prototype Assembly Testing building on our existing PowerBuoy? technology to deliver a device with much increased power delivery. Scaling?up from 150kW to 500kW power generating capacity required changes in the PowerBuoy design that addressed cost reduction and mass manufacturing by implementing a Design for Manufacturing (DFM) approach. The design changes also focused on reducing PowerBuoy Installation, Operation and Maintenance (IO&M) costs which are essential to reducing the overall cost of energy. In this design, changes to the core PowerBuoy technology were implemented to increase capability and reduce both CAPEX and OPEX costs. OPT conceptually envisaged moving from a floating structure to a seabed structure. The design change from a floating structure to seabed structure would provide the implementation of stroke? unlimited Power Take?Off (PTO) which has a potential to provide significant power delivery improvement and transform the wave energy industry if proven feasible.

  17. Scale-free Universal Spectrum for Atmospheric Aerosol Size Distribution for Davos, Mauna Loa and Izana

    E-Print Network [OSTI]

    A. M. Selvam

    2014-08-14T23:59:59.000Z

    Atmospheric flows exhibit fractal fluctuations and inverse power law form for power spectra indicating an eddy continuum structure for the selfsimilar fluctuations. A general systems theory for fractal fluctuations developed by the author is based on the simple visualisation that large eddies form by space-time integration of enclosed turbulent eddies, a concept analogous to Kinetic Theory of Gases in Classical Statistical Physics. The ordered growth of atmospheric eddy continuum is in dynamical equilibrium and is associated with Maximum Entropy Production. The model predicts universal (scale-free) inverse power law form for fractal fluctuations expressed in terms of the golden mean. Atmospheric particulates are held in suspension in the fractal fluctuations of vertical wind velocity. The mass or radius (size) distribution for homogeneous suspended atmospheric particulates is expressed as a universal scale-independent function of the golden mean, the total number concentration and the mean volume radius. Model predicted spectrum is in agreement (within two standard deviations on either side of the mean) with total averaged radius size spectra for the AERONET (aerosol inversions) stations Davos and Mauna Loa for the year 2010 and Izana for the year 2009 daily averages. The general systems theory model for aerosol size distribution is scale free and is derived directly from atmospheric eddy dynamical concepts. At present empirical models such as the log normal distribution with arbitrary constants for the size distribution of atmospheric suspended particulates are used for quantitative estimation of earth-atmosphere radiation budget related to climate warming/cooling trends. The universal aerosol size spectrum will have applications in computations of radiation balance of earth-atmosphere system in climate models.

  18. The Broad Band Spectral Energy Distributions of SDSS Blazars

    E-Print Network [OSTI]

    Li, Huaizhen; Jiang, Yunguo; Yi, Tingfeng

    2015-01-01T23:59:59.000Z

    We compiled the radio, optical, and X-ray data of blazars from the Sloan Digital Sky Survey (SDSS) database, and presented the distribution of luminosities and broad band spectral indices. The distribution of luminosities shows that the averaged luminosity of flat-spectral radio quasars (FSRQs) is larger than that of BL Lacs objects. On the other hand, the broad band spectral energy distribution reveals that FSRQs and low energy peaked BL Lac objects (LBLs) objects have similar spectral properties, but high energy peaked BL Lac objects (HBLs) have a distinct spectral property. This may be due to that different subclasses of blazars have different intrinsic environments and are at different cooling levels. Even so, a unified scheme also is revealed from the color-color diagram, which hints that there are similar physical processes operating in all objects under a range of intrinsic physical conditions or beaming parameter.

  19. Fact Sheet: Grid-Scale Energy Storage Demonstration Using UltraBattery...

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

    Energy Storage Demonstration Using UltraBattery Technology (October 2012) Fact Sheet: Grid-Scale Energy Storage Demonstration Using UltraBattery Technology (October 2012) East Penn...

  20. Large-Scale Liquid Hydrogen Handling Equipment | 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 YourTransport(FactDepartment ofLetter Report:40PM toLEDControl ConceptCombustionLarge-Scale

  1. An Energy-Efficient Framework for Large-Scale Parallel Storage Systems

    E-Print Network [OSTI]

    Qin, Xiao

    An Energy-Efficient Framework for Large-Scale Parallel Storage Systems Ziliang Zong, Matt Briggs-scale and energy-efficient parallel storage systems. To validate the efficiency of the proposed framework, a buffer that this new framework can significantly improves the energy efficiency of large-scale parallel storage systems

  2. Department of Energy Budget Execution Funds Distribution and Control Manual

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

    2006-01-09T23:59:59.000Z

    As a service to all Department of Energy (DOE) elements, including the National Nuclear Security Administration (NNSA), this Manual provides the user with a single source for references, definitions, and procedural requirements for distributing and controlling Department of Energy (DOE) funds. Accordingly, the Manual provides detailed requirements to supplement DOE O 135.1A, Budget Execution—Funds Distribution and Control, dated 1-9-06. Paragraph 5, of DOE O 135.1A defines organizational responsibilities pertinent to this Manual. Cancels DOE M 135.1-1.

  3. Synchrotron-Radiation Photon Distribution for Highest Energy Circular Colliders

    E-Print Network [OSTI]

    Maury Cuna, GHI; Dugan, G; Zimmermann, F

    2013-01-01T23:59:59.000Z

    At high energies, beam-induced synchrotron radiation is an important source of heating, beam-related vacuum pressure increase, and primary photoelectrons, which can give rise to an electron cloud. The photon distribution along the beam pipe wall is a key input to codes such as ECLOUD and PyECLOUD, which model the electron cloud build-up. For future high-energy colliders, like TLEP or SHE-LHC, photon stops and antechambers are considered in order to facilitate cooling and vacuum pressure control. We use the Synrad3D code developed at Cornell to simulate the photon distribution for the LHC.

  4. Synchrotron-Radiation Photon Distributions for Highest Energy Circular Colliders

    E-Print Network [OSTI]

    Maury Cuna, G H I; Dugan, G; Zimmermann, F

    2013-01-01T23:59:59.000Z

    At high energies, beam-induced synchrotron radiation is an important source of heating, beam-related vacuum pressure increase, and primary photoelectrons, which can give rise to an electron cloud. The photon distribution along the beam pipe wall is a key input to codes such as ECLOUD and PyECLOUD, which model the electron cloud build-up. For future high-energy colliders, like TLEP or SHE-LHC, photon stops and antechambers are considered in order to facilitate cooling and vacuum pressure control. We use the Synrad3D code developed at Cornell to simulate the photon distribution for the LHC.

  5. Direct Drive Wave Energy Buoy – 33rd scale experiment

    SciTech Connect (OSTI)

    Rhinefrank, Kenneth E. [Columbia Power Technologies, Inc.; Lenee-Bluhm, Pukha [Columbia Power Technologies, Inc.; Prudell, Joseph H. [Columbia Power Technologies, Inc.; Schacher, Alphonse A.; Hammagren, Erik J.; Zhang, Zhe [Columbia Power Technologies, Inc.

    2013-07-29T23:59:59.000Z

    Columbia Power Technologies (ColPwr) and Oregon State University (OSU) jointly conducted a series of tests in the Tsunami Wave Basin (TWB) at the O.H. Hinsdale Wave Research Laboratory (HWRL). These tests were run between November 2010 and February 2011. Models at 33rd scale representing Columbia Power’s Manta series Wave Energy Converter (WEC) were moored in configurations of one, three and five WEC arrays, with both regular waves and irregular seas generated. The primary research interest of ColPwr is the characterization of WEC response. The WEC response will be investigated with respect to power performance, range of motion and generator torque/speed statistics. The experimental results will be used to validate a numerical model. The primary research interests of OSU include an investigation into the effects of the WEC arrays on the near- and far-field wave propagation. This report focuses on the characterization of the response of a single WEC in isolation. To facilitate understanding of the commercial scale WEC, results will be presented as full scale equivalents.

  6. Sandia Energy - Scaled Wind Farm Technology Facility Baselining Project

    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 ScienceandMesa del Sol Home Distribution GridDocumentsInstitute of Advanced IndustrialSolarUnion

  7. Sandia Energy - National Rotor Testbed Functional Scaling Presented at

    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 ScienceandMesa del Sol Home Distribution Grid Integration Permalink Gallery

  8. 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.

  9. JET Experiments to Assess Finite Larmor Radius Effects on Resonant Ion Energy Distribution during ICRF Heating

    E-Print Network [OSTI]

    JET Experiments to Assess Finite Larmor Radius Effects on Resonant Ion Energy Distribution during ICRF Heating

  10. Transmission Pricing of Distributed Multilateral Energy Transactions to Ensure System Security and Guide Economic Dispatch

    E-Print Network [OSTI]

    Ilic, Marija; Hsieh, Eric; Remanan, Prasad

    2004-06-16T23:59:59.000Z

    Transmission Pricing of Distributed Multilateral Energy Transactions to Ensure System Security and Guide Economic Dispatch...

  11. Studies of switching field and thermal energy barrier distributions in a FePt nanoparticle system

    E-Print Network [OSTI]

    Laughlin, David E.

    Studies of switching field and thermal energy barrier distributions in a FePt nanoparticle system X dependence of the thermal stability factor, the width of the thermal energy barrier distribution- ropy energy distribution and the interaction and the thermal energy barrier distribution determined

  12. Category:Energy Distribution Organizations | 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, click here. Category:Conceptual Model Add.png AddTechniques page? For

  13. Distributed Renewable Energy Finance and Policy Toolkit | 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 being directedAnnual SiteofEvaluating A Potential Microhydro SiteDaytonDestilariaDirectDirectCalculator

  14. Observation of Small-scale Anisotropy in the Arrival Direction Distribution of TeV Cosmic Rays with HAWC

    E-Print Network [OSTI]

    Abeysekara, A U; Alvarez, C; Álvarez, J D; Arceo, R; Arteaga-Velázquez, J C; Solares, H A Ayala; Barber, A S; Baughman, B M; Bautista-Elivar, N; Belmont, E; BenZvi, S Y; Berley, D; Rosales, M Bonilla; Braun, J; Caballero-Mora, K S; Carramiñana, A; Castillo, M; Cotti, U; Cotzomi, J; de la Fuente, E; De Leó, C; DeYoung, T; Hernandez, R Diaz; Díaz-Vélez, J C; Dingus, B L; DuVernois, M A; Ellsworth, R W; Fiorino, D W; Fraija, N; Galindo, A; Garfias, F; González, M M; Goodman, J A; Gussert, M; Hampel-Arias, Z; Harding, J P; Hüntemeyer, P; Hui, C M; Imran, A; Iriarte, A; Karn, P; Kieda, D; Kunde, G J; Lara, A; Lauer, R J; Lee, W H; Lennarz, D; Vargas, H León; Linnemann, J T; Longo, M; Luna-García, R; Malone, K; Marinelli, A; Marinelli, S S; Martinez, H; Martinez, O; Martínez-Castro, J; Matthews, J A J; McEnery, J; Torres, E Mendoza; Miranda-Romagnoli, P; Moreno, E; Mostafá, M; Nellen, L; Newbold, M; Noriega-Papaqui, R; Oceguera-Becerra, T; Patricelli, B; Pelayo, R; Pérez-Pérez, E G; Pretz, J; Riviére, C; Rosa-González, D; Ruiz-Velasco, E; Ryan, J; Salazar, H; Greus, F Salesa; Sandoval, A; Schneider, M; Sinnis, G; Smith, A J; Woodle, K Sparks; Springer, R W; Taboada, I; Toale, P A; Tollefson, K; Torres, I; Ukwatta, T N; Villaseñor, L; Weisgarber, T; Westerhoff, S; Wisher, I G; Wood, J; Yodh, G B; Younk, P W; Zaborov, D; Zepeda, A; Zhou, H

    2014-01-01T23:59:59.000Z

    The High-Altitude Water Cherenkov (HAWC) Observatory is sensitive to gamma rays and charged cosmic rays at TeV energies. The detector is still under construction, but data acquisition with the partially deployed detector started in 2013. An analysis of the cosmic-ray arrival direction distribution based on $4.9\\times 10^{10}$ events recorded between June 2013 and February 2014 shows anisotropy at the $10^{-4}$ level on angular scales of about $10^\\circ$. The HAWC cosmic-ray sky map exhibits three regions of significantly enhanced cosmic-ray flux; two of these regions were first reported by the Milagro experiment. A third region coincides with an excess recently reported by the ARGO-YBJ experiment. An angular power spectrum analysis of the sky shows that all terms up to $\\ell=15$ contribute significantly to the excesses.

  15. Automated Energy Distribution and Reliability System (AEDR): Final Report

    SciTech Connect (OSTI)

    Buche, D. L.

    2008-07-01T23:59:59.000Z

    This report describes Northern Indiana Public Service Co. project efforts to develop an automated energy distribution and reliability system. The purpose of this project was to implement a database-driven GIS solution that would manage all of the company's gas, electric, and landbase objects.

  16. Electric Drive Vehicles: A Huge New Distributed Energy Resource

    E-Print Network [OSTI]

    Firestone, Jeremy

    Electric Drive Vehicles: A Huge New Distributed Energy Resource Alec Brooks AC Propulsion, Inc. San Dimas, California www.acpropulsion.com #12;The Old and the New.. Old way of thinking: Electric vehicles are an unnecessary burden to an over- taxed electricity grid New way of thinking: Electric drive vehicles

  17. Distributed Wind Policy Comparison Tool Website | 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)DistributedTool

  18. Room-temperature stationary sodium-ion batteries for large-scale electric energy storage

    E-Print Network [OSTI]

    Wang, Wei Hua

    Room-temperature stationary sodium-ion batteries for large-scale electric energy storage Huilin Pan attention particularly in large- scale electric energy storage applications for renewable energy and smart storage system in the near future. Broader context With the rapid development of renewable energy sources

  19. Harvesting Clean Energy How California Can Deploy Large-Scale Renewable

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Harvesting Clean Energy How California Can Deploy Large-Scale Renewable Energy Projects Harvesting Clean Energy: How California Can Deploy Large-Scale Renewable Energy Projects on Appropriate acres of impaired lands in the Westlands Water District in the Central Valley may soon have

  20. A U.S. and China Regional Analysis of Distributed Energy Resources in Buildings

    E-Print Network [OSTI]

    Feng, Wei

    2014-01-01T23:59:59.000Z

    www.epa.gov/cleanenergy/energy-resources/egrid. [24] Wang,Gas-Fired Distributed Energy Resource Characterizations.CO: National Renewable Energy Resource Laboratory Report TP-

  1. Optimal investment and scheduling of distributed energy resources with uncertainty in electric vehicles driving schedules

    SciTech Connect (OSTI)

    Center for Energy and Innovative Technologies; NEC Laboratories America Inc.; Cardoso, Goncalo; Stadler, Michael; Bozchalui, Mohammed C.; Sharma, Ratnesh; Marnay, Chris; Barbosa-Povoa, Ana; Ferrao, Paulo

    2013-10-27T23:59:59.000Z

    The large scale penetration of electric vehicles (EVs) will introduce technical challenges to the distribution grid, but also carries the potential for vehicle-to-grid services. Namely, if available in large enough numbers, EVs can be used as a distributed energy resource (DER) and their presence can influence optimal DER investment and scheduling decisions in microgrids. In this work, a novel EV fleet aggregator model is introduced in a stochastic formulation of DER-CAM [1], an optimization tool used to address DER investment and scheduling problems. This is used to assess the impact of EV interconnections on optimal DER solutions considering uncertainty in EV driving schedules. Optimization results indicate that EVs can have a significant impact on DER investments, particularly if considering short payback periods. Furthermore, results suggest that uncertainty in driving schedules carries little significance to total energy costs, which is corroborated by results obtained using the stochastic formulation of the problem.

  2. Integrating Renewable Energy into the Transmission and Distribution System of the U. S. Virgin Islands

    SciTech Connect (OSTI)

    Burman, K.; Olis, D.; Gevorgian, V.; Warren, A.; Butt, R.; Lilienthal, P.; Glassmire, J.

    2011-09-01T23:59:59.000Z

    This report focuses on the economic and technical feasibility of integrating renewable energy technologies into the U.S. Virgin Islands transmission and distribution systems. The report includes three main areas of analysis: 1) the economics of deploying utility-scale renewable energy technologies on St. Thomas/St. John and St. Croix; 2) potential sites for installing roof- and ground-mount PV systems and wind turbines and the impact renewable generation will have on the electrical subtransmission and distribution infrastructure, and 3) the feasibility of a 100- to 200-megawatt power interconnection of the Puerto Rico Electric Power Authority (PREPA), Virgin Islands Water and Power Authority (WAPA), and British Virgin Islands (BVI) grids via a submarine cable system.

  3. 744 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 24, NO. 2, MAY 2009 Large-Scale Distribution Planning--Part I

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Católica de Chile)

    744 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 24, NO. 2, MAY 2009 Large-Scale Distribution Planning--Part I: Simultaneous Network and Transformer Optimization Alejandro Navarro, Member, IEEE, and Hugh-voltage distribution networks. Combined optimization of transformers and associated networks is per- formed

  4. Scale Matters: An Action Plan for Realizing Sector-Wide "Zero-Energy"

    E-Print Network [OSTI]

    , according to the Annual Energy Outlook [EIA Scale Matters: An Action Plan for Realizing Sector-Wide "Zero-Energy" Performance Goals in Commercial Buildings S. Selkowitz, J. Granderson, P. Haves, P. Mathew Environmental Energy Technologies

  5. Membraneless hydrogen bromine laminar flow battery for large-scale energy storage

    E-Print Network [OSTI]

    Braff, William Allan

    2014-01-01T23:59:59.000Z

    Electrochemical energy storage systems have been considered for a range of potential large-scale energy storage applications. These applications vary widely, both in the order of magnitude of energy storage that is required ...

  6. Steam distribution and energy delivery optimization using wireless sensors

    SciTech Connect (OSTI)

    Olama, Mohammed M [ORNL; Allgood, Glenn O [ORNL; Kuruganti, Phani Teja [ORNL; Sukumar, Sreenivas R [ORNL; Djouadi, Seddik M [ORNL; Lake, Joe E [ORNL

    2011-01-01T23:59:59.000Z

    The Extreme Measurement Communications Center at Oak Ridge National Laboratory (ORNL) explores the deployment of a wireless sensor system with a real-time measurement-based energy efficiency optimization framework in the ORNL campus. With particular focus on the 12-mile long steam distribution network in our campus, we propose an integrated system-level approach to optimize the energy delivery within the steam distribution system. We address the goal of achieving significant energy-saving in steam lines by monitoring and acting on leaking steam valves/traps. Our approach leverages an integrated wireless sensor and real-time monitoring capabilities. We make assessments on the real-time status of the distribution system by mounting acoustic sensors on the steam pipes/traps/valves and observe the state measurements of these sensors. Our assessments are based on analysis of the wireless sensor measurements. We describe Fourier-spectrum based algorithms that interpret acoustic vibration sensor data to characterize flows and classify the steam system status. We are able to present the sensor readings, steam flow, steam trap status and the assessed alerts as an interactive overlay within a web-based Google Earth geographic platform that enables decision makers to take remedial action. We believe our demonstration serves as an instantiation of a platform that extends implementation to include newer modalities to manage water flow, sewage and energy consumption.

  7. Distributed energy resources at naval base ventura county building 1512

    SciTech Connect (OSTI)

    Bailey, Owen C.; Marnay, Chris

    2004-10-01T23:59:59.000Z

    This paper reports the findings of a preliminary assessment of the cost effectiveness of distributed energy resources at Naval Base Ventura County (NBVC) Building 1512. This study was conducted in response to the base's request for design assistance to the Federal Energy Management Program. Given the current tariff structure there are two main decisions facing NBVC: whether to install distributed energy resources (DER), or whether to continue the direct access energy supply contract. At the current effective rate, given assumptions about the performance and structure of building energy loads and available generating technology characteristics, the results of this study indicate that if the building installed a 600 kW DER system with absorption cooling and heat capabilities chosen by cost minimization, the energy cost savings would be about 14 percent, or $55,000 per year. However, under current conditions, this study also suggests that significant savings could be obtained if Building 1 512 changed from the direct access contract to a SCE TOU-8 (Southern California Edison time of use tariff number 8) rate without installing a DER system. At current SCE TOU-8 tariffs, the potential savings from installation of a DER system would be about 4 percent, or $15,000 per year.

  8. Coordination and Control of Distributed Energy Resources for Provision of Ancillary Services

    E-Print Network [OSTI]

    Liberzon, Daniel

    Coordination and Control of Distributed Energy Resources for Provision of Ancillary Services--This paper discusses the utilization of distributed energy resources on the distribution side of the power side of a power system, it has been ac- knowledged that there exist many distributed energy resources

  9. Brief Announcement: Energy-Optimal Distributed Algorithms for Minimum Spanning Trees

    E-Print Network [OSTI]

    Khan, Maleq

    associated with the messages exchanged among the nodes in a distributed algorithm, and design energy-efficient) problem, an important problem in distributed computing. We study energy-efficient distributed algorithms Algorithm, Energy-Efficient, Mini- mum Spanning Tree, Distributed Approximation Algorithm 1. MODEL

  10. Long Time Stability of the Energy Scale Calibration of a Quantum 2000

    E-Print Network [OSTI]

    Scheithauer, Uwe

    2015-01-01T23:59:59.000Z

    According to the international standard ISO 15472 the energy scale of an XPS instrument, type Physical Electronics Quantum 2000, was calibrated. It is shown, how the procedures of the ISO 15472 were adapted to the hardware and software design of the Quantum 2000. The long time stability of the energy scale calibration of the XPS instrument was investigated. The instrumented was operated with a satisfying energy scale calibration over a period of 8 years. All the time energy differences between certain peaks could be measured with the chosen precision of the energy scale calibration.

  11. Case Studies of Potential Facility-Scale and Utility-Scale Non-Hydro Renewable Energy Projects across Reclamation

    SciTech Connect (OSTI)

    Haase, S.; Burman, K.; Dahle, D.; Heimiller, D.; Jimenez, A.; Melius, J.; Stoltenberg, B.; VanGeet, O.

    2013-05-01T23:59:59.000Z

    This report summarizes the results of an assessment and analysis of renewable energy opportunities conducted for the U.S. Department of the Interior, Bureau of Reclamation by the National Renewable Energy Laboratory. Tasks included assessing the suitability for wind and solar on both a utility and facility scale.

  12. Advanced Communication and Control Solutions of Distributed Energy Resources (DER)

    SciTech Connect (OSTI)

    Asgeirsson, Haukur; Seguin, Richard; Sherding, Cameron; de Bruet, Andre, G.; Broadwater, Robert; Dilek, Murat

    2007-01-10T23:59:59.000Z

    This report covers work performed in Phase II of a two phase project whose objective was to demonstrate the aggregation of multiple Distributed Energy Resources (DERs) and to offer them into the energy market. The Phase I work (DE-FC36-03CH11161) created an integrated, but distributed, system and procedures to monitor and control multiple DERs from numerous manufacturers connected to the electric distribution system. Procedures were created which protect the distribution network and personnel that may be working on the network. Using the web as the communication medium for control and monitoring of the DERs, the integration of information and security was accomplished through the use of industry standard protocols such as secure SSL,VPN and ICCP. The primary objective of Phase II was to develop the procedures for marketing the power of the Phase I aggregated DERs in the energy market, increase the number of DER units, and implement the marketing procedures (interface with ISOs) for the DER generated power. The team partnered with the Midwest Independent System Operator (MISO), the local ISO, to address the energy market and demonstrate the economic dispatch of DERs in response to market signals. The selection of standards-based communication technologies offers the ability of the system to be deployed and integrated with other utilities’ resources. With the use of a data historian technology to facilitate the aggregation, the developed algorithms and procedures can be verified, audited, and modified. The team has demonstrated monitoring and control of multiple DERs as outlined in phase I report including procedures to perform these operations in a secure and safe manner. In Phase II, additional DER units were added. We also expanded on our phase I work to enhance communication security and to develop the market model of having DERs, both customer and utility owned, participate in the energy market. We are proposing a two-part DER energy market model--a utility need business model and an independent energy aggregator-business model. The approach of developing two group models of DER energy participation in the market is unique. The Detroit Edison (DECo, Utility)-led team includes: DTE Energy Technologies (Dtech, DER provider), Electrical Distribution Design (EDD, Virginia Tech company supporting EPRI’s Distribution Engineering Workstation, DEW), Systems Integration Specialists Company (SISCO, economic scheduling and real-time protocol integrator), and OSIsoft (PI software system for managing real-time information). This team is focused on developing the application engineering, including software systems necessary for DER’s integration, control and sale into the market place. Phase II Highlights Installed and tested an ICCP link with SSL (security) between DECo, the utility, and DTE Energy Technologies (DTECH), the aggregator, making DER data available to the utility for both monitoring and control. Installed and tested PI process book with circuit & DER operational models for DECo SOC/ROC operator’s use for monitoring of both utility circuit and customer DER parameters. The PI Process Book models also included DER control for the DECo SOC/ROC operators, which was tested and demonstrated control. The DER Tagging and Operating Procedures were developed, which allowed that control to be done in a safe manner, were modified for required MOC/MISO notification procedures. The Distribution Engineering Workstation (DEW) was modified to include temperature normalized load research statistics, using a 30 hour day-ahead weather feed. This allowed day-ahead forecasting of the customer load profile and the entire circuit to determine overload and low voltage problems. This forecast at the point of common coupling was passed to DTech DR SOC for use in their economic dispatch algorithm. Standard Work Instructions were developed for DER notification, sale, and operation into the MISO market. A software mechanism consisting of a suite of new and revised functionality was developed that integrated with the local ISO such that offe

  13. Determination of the Jet Energy Scale at the Collider Detector at Fermilab

    E-Print Network [OSTI]

    A. Bhatti; F. Canelli; B. Heinemann; J. Adelman; D. Ambrose; J. -F. Arguin; A. Barbaro-Galtieri; H. Budd; Y. S. Chung; K. Chung; B. Cooper; C. Currat; M. D'Onofrio; T. Dorigo; R. Erbacher; R. Field; G. Flanagan; A. Gibson; K. Hatakeyama; F. Happacher; D. Hoffman; G. Introzzi; S. Kuhlmann; S. Kwang; S. Jun; G. Latino; A. Malkus; M. Mattson; A. Mehta; P. A. Movilla-Fernandez; L. Nodulman; M. Paulini; J. Proudfoot; F. Ptohos; S. Sabik; W. Sakumoto; P. Savard; M. Shochet; P. Sinervo; V. Tiwari; A. Wicklund; G. Yun

    2005-10-18T23:59:59.000Z

    A precise determination of the energy scale of jets at the Collider Detector at Fermilab at the Tevatron $p\\bar{p}$ collider is described. Jets are used in many analyses to estimate the energies of partons resulting from the underlying physics process. Several correction factors are developed to estimate the original parton energy from the observed jet energy in the calorimeter. The jet energy response is compared between data and Monte Carlo simulation for various physics processes, and systematic uncertainties on the jet energy scale are determined. For jets with transverse momenta above 50 GeV the jet energy scale is determined with a 3% systematic uncertainty.

  14. NiSource Energy Technologies Inc.: System Integration of Distributed Power for Complete Building Systems

    SciTech Connect (OSTI)

    Not Available

    2003-10-01T23:59:59.000Z

    Summarizes NiSource Energy Technologies' work under contract to DOE's Distribution and Interconnection R&D. Includes studying distributed generation interconnection issues and CHP system performance.

  15. Recoil proton distribution in high energy photoproduction processes

    E-Print Network [OSTI]

    E. Bartos; E. A. Kuraev; Yu. P. Peresunko; E. A. Vinokurov

    2006-11-22T23:59:59.000Z

    For high energy linearly polarized photon--proton scattering we have calculated the azimuthal and polar angle distributions in inclusive on recoil proton experimental setup. We have taken into account the production of lepton and pseudoscalar meson charged pairs. The typical values of cross sections are of order of hundreds of picobarn. The size of polarization effects are of order of several percents. The results are generalized for the case of electroproduction processes on the proton at rest and for high energy proton production process on resting proton.

  16. Property:EIA/861/ActivityDistribution | 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 Jump to: navigation,PillarPublicationType JumpDOEInvolve Jumpallowed valuesActivityDistribution Jump

  17. DA (Distribution Automation) (Smart Grid Project) | 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, clickInformationNew|CoreCpWingCushing,DA (Distribution Automation) (Smart

  18. 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

  19. 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

  20. 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

  1. 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

  2. Energy Conservation in a Manufacturing Facility Through Distributed Microprocessor Control

    E-Print Network [OSTI]

    Garcia, C. A.; Kaiser, V. A.

    1981-01-01T23:59:59.000Z

    .. ', ENERGY GONSERVATION IN A ~UiliUFACTURING FACILITY THROUGH DISTRIBUTED MICROPROCESSOR CONTROL C. A. Garcia* and V. A. Kaiser** .:' *Real Estate & Construction Division, IBM Corporation, Tarrytown New York, U.S.A. **Profimatics, Inc... at the central plant is manually switched to one of up to 16 data highways at a time, pro viding communication to the MVCU's and LFCM's in each building. The CCM serves as a communication multiplexer between the Series/1 computer and the data highways...

  3. Scaling of Particle and Transverse Energy Production in 208Pb+208Pb collisions at 158 A GeV

    E-Print Network [OSTI]

    WA98 Collaboration; M. M. Aggarwal

    2000-12-11T23:59:59.000Z

    Transverse energy, charged particle pseudorapidity distributions and photon transverse momentum spectra have been studied as a function of the number of participants (N_{part}) and the number of binary nucleon-nucleon collisions (N_{coll}) in 158 A GeV Pb+Pb collisions over a wide impact parameter range. A scaling of the transverse energy pseudorapidity density at midrapidity as N_{part}^{1.08 \\pm 0.06} and N_{coll}^{0.83 \\pm 0.05} is observed. For the charged particle pseudorapidity density at midrapidity we find a scaling as N_{part}^{1.07 \\pm 0.04} and N_{coll}^{0.82 \\pm 0.03}. This faster than linear scaling with N_{part} indicates a violation of the naive Wounded Nucleon Model.

  4. Free Energy of a Wormlike Polymer Chain Confined in a Slit: Crossover between Two Scaling Regimes

    E-Print Network [OSTI]

    Sullivan, Donald E.

    Free Energy of a Wormlike Polymer Chain Confined in a Slit: Crossover between Two Scaling Regimes as the later work of de Gennes,4 yielded the well-known scaling behavior of the free energy which is valid in a narrow rectangular tube, Burkhardt has shown that the free energy is the sum of two contributions, each

  5. Large-Scale Integration of Deferrable Demand and Renewable Energy Sources

    E-Print Network [OSTI]

    Oren, Shmuel S.

    1 Large-Scale Integration of Deferrable Demand and Renewable Energy Sources Anthony Papavasiliou. In order to accurately assess the impacts of renewable energy integration and demand response integration model for assessing the impacts of the large-scale integration of renewable energy sources

  6. Autonomous and Energy-Aware Management of Large-Scale Cloud Infrastructures

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Autonomous and Energy-Aware Management of Large-Scale Cloud Infrastructures Eugen Feller Advisor.e. self-organization and healing); (3) energy-awareness. However, existing open-source cloud management, and energy-aware resource management frameworks for large-scale cloud infrastructures. Particularly, a novel

  7. vol. 171, no. 6 the american naturalist june 2008 Scale Dependence of Species-Energy Relationships

    E-Print Network [OSTI]

    Gonzalez, Andrew

    on spatial turnover in the species com- position (beta diversity). Our results suggest that if energy richness, species-energy relationships, potential evapotranspiration, spatial scale, beta diversity, fishesvol. 171, no. 6 the american naturalist june 2008 Scale Dependence of Species-Energy Relationships

  8. Distribution of {Omega}{sub k} from the scale-factor cutoff measure

    SciTech Connect (OSTI)

    De Simone, Andrea [Center for Theoretical Physics, Laboratory for Nuclear Science, and Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 (United States); Salem, Michael P. [Institute of Cosmology, Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155 (United States)

    2010-04-15T23:59:59.000Z

    Our Universe may be contained in one among a diverging number of bubbles that nucleate within an eternally inflating multiverse. A promising measure to regulate the diverging spacetime volume of such a multiverse is the scale-factor cutoff, one feature of which is bubbles are not rewarded for having a longer duration of slow-roll inflation. Thus, depending on the landscape distribution of the number of e-folds of inflation among bubbles like ours, we might hope to measure spatial curvature. We study a recently proposed cartoon model of inflation in the landscape and find a reasonable chance (about 10%) that the curvature in our Universe is well above the value expected from cosmic variance. Anthropic selection does not strongly select for curvature as small as is observed (relative somewhat larger values), meaning the observational bound on curvature can be used to rule out landscape models that typically give too little inflation.

  9. Trace element distribution and mercury speciation in a pilot-scale coal combustor burning Blacksville coal

    SciTech Connect (OSTI)

    Hargis, R.A.; Pennline, H.W. [Dept. of Energy, Pittsburgh, PA (United States). Federal Energy Technical Center

    1997-12-31T23:59:59.000Z

    A series of tests have been conducted on a nominal 500-pound-per-hour, pilot-scale combustion unit to characterize trace element emissions and mercury speciation. The coal fired during the testing was a Blacksville {number_sign}2, medium-sulfur coal, similar to that used by other researchers investigating mercury speciation. A description of the pilot unit operating conditions during the testing is provided. A summary of the gas/solid distribution of trace elements at various locations within the system, material balances, and baghouse removal efficiencies is also supplied. EPA Method 29 was used to determine trace element and speciated mercury concentrations before and after the baghouse. A comparison of these results with past trace element results from this unit and with the findings of other researchers who have used Blacksville coal is also presented. The pilot-scale combustion unit has been characterized in terms of trace element distribution during two tests while burning a medium-sulfur bituminous Blacksville coal. EPA sampling methodology at the inlet to the baghouse and at the stack was used. Results indicate that most of the elements are removed across the baghouse with the exception of mercury and selenium. Both of these elements were found predominantly in the vapor phase. The average mercury speciation revealed that the vapor-phase mercury was primarily in the oxidized form, which is consistent with the findings of other research with Blacksville coal. Material recoveries for most of the elements were very good. The average recovery for mercury further validates that this pilot unit will be a viable system for mercury sampling and control methods.

  10. Smoke-plume distributions above large-scale fires: Implications for simulations of ''nuclear winter''

    SciTech Connect (OSTI)

    Penner, J.E.; Haselman L. Jr.; Edwards, L.L.

    1986-10-01T23:59:59.000Z

    Smoke from raging fires produced in the aftermath of a major nuclear exchange has been predicted to cause large decreases in surface temperatures. However, the extent of the decrease and even the sign of the temperature change depend on how the smoke is distributed with altitude. We present a model capable of evaluating the initial distribution of lofted smoke above a massive fire. Calculations are shown for a two-dimensional slab version of the model and a full three-dimensional version. The model has been evaluated by simulating smoke heights for the Hamburg firestorm of 1943, and a smaller-scale oil fire which occurred in Long Beach in 1958. Our plume heights for these fires are compared to those predicted by the classical Morton-Taylor-Turner theory for weakly buoyant plumes. We consider the effect of the added buoyancy caused by condensation of waterladen ground level air being carried to high altitude with the convection column, as well as the effects of background wind on the calculated smoke plume heights for several fire intensities. We find that the rise height of the plume depends on the assumed background atmospheric conditions, as well as the fire intensity.

  11. Statistical distributions for Hamiltonian systems coupled to energy reservoirs and applications to molecular energy

    E-Print Network [OSTI]

    Ebeling, Werner

    Statistical distributions for Hamiltonian systems coupled to energy reservoirs and applications to molecular energy conversion W. Ebeling Institute of Physics, Humboldt-University, Newtonstr. 19, Berlin, Germany and Mark Kac Complex Systems Research Center, Jagellonian University, Reymonta 4, Krak´ow, Poland

  12. ITP Industrial Distributed Energy: Distributed Energy Program Project Profile: Verizon Central Office Building

    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 YourTransport(Fact Sheet), GeothermalGridHYDROGENDDepartmentSeptember 20092009 The

  13. DOE Community-/Facility-Scale Tribal Renewable Energy Project Development and Finance Workshop

    Office of Energy Efficiency and Renewable Energy (EERE)

    This interactive workshop will walk participants through five steps to help tribes understand the process for and potential pitfalls of developing community- and facility-scale renewable energy...

  14. Enabling Mass-Scale Financing for Federal Energy, Water, and Sustainability Projects

    Broader source: Energy.gov [DOE]

    Presentation covers Enabling Mass-Scale Financing for Federal Energy, Water, and Sustainability projects and is given at the Spring 2011 Federal Utility Partnership Working Group (FUPWG) meeting.

  15. Tax Exemption for Large-Scale Renewable Energy Projects

    Broader source: Energy.gov [DOE]

    In August 2007 Kentucky established the ''Incentives for Energy Independence Act'' (IEIA) to promote the development of renewable energy and alternative fuel facilities, energy efficient buildings,...

  16. Sandia National Laboratories: utility-scale alternative energy...

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

    alternative energy systems More Efficient Fuel Cells under Development by Engineers On July 10, 2014, in Center for Infrastructure Research and Innovation (CIRI), Energy, Energy...

  17. Integration of distributed energy resources. The CERTS Microgrid Concept

    SciTech Connect (OSTI)

    Lasseter, Robert; Akhil, Abbas; Marnay, Chris; Stephens, John; Dagle, Jeff; Guttromsom, Ross; Meliopoulous, A. Sakis; Yinger, Robert; Eto, Joe

    2002-04-01T23:59:59.000Z

    Evolutionary changes in the regulatory and operational climate of traditional electric utilities and the emergence of smaller generating systems such as microturbines have opened new opportunities for on-site power generation by electricity users. In this context, distributed energy resources (DER)--small power generators typically located at users' sites where the energy (both electric and thermal) they generate is used--have emerged as a promising option to meet growing customer needs for electric power with an emphasis on reliability and power quality. The portfolio of DER includes generators, energy storage, load control, and, for certain classes of systems, advanced power electronic interfaces between the generators and the bulk power provider. This white paper proposes that the significant potential of smaller DER to meet customers' and utilities' needs can be best captured by organizing these resources into MicroGrids.

  18. HOT ELECTRON ENERGY DISTRIBUTIONS FROM ULTRA-INTENSE LASER SOLID INTERACTIONS

    SciTech Connect (OSTI)

    Chen, H; Wilks, S C; Kruer, W; Patel, P; Shepherd, R

    2008-10-08T23:59:59.000Z

    Measurements of electron energy distributions from ultra-intense (>10{sup 19} W/cm{sup 2}) laser-solid interactions using an electron spectrometer are presented. These measurements were performed on the Vulcan petawatt laser at Rutherford Appleton Laboratory and the Callisto laser at Lawrence Livermore National Laboratory. The effective hot electron temperatures (T{sub hot}) have been measured for laser intensities (I{lambda}{sup 2}) from 10{sup 18} W/cm{sup 2} {micro}m{sup 2} to 10{sup 21} W/cm{sup 2} {micro}m{sup 2} for the first time, and T{sub hot} is found to increase as (I{lambda}{sup 2}){sup 0.34} {+-} 0.4. This scaling agrees well with the empirical scaling published by Beg et al. (1997), and is explained by a simple physical model that gives good agreement with experimental results and particle-in-cell simulations.

  19. AMO Industrial Distributed Energy: Industrial Distributed Energy R&D Portfolio Review 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: The Future of1 A Strategic Framework for8.pdfAL2008-07.pdf2 ofAMIIndustrial

  20. Optimal Control of Distributed Energy Resources using Model Predictive Control

    SciTech Connect (OSTI)

    Mayhorn, Ebony T.; Kalsi, Karanjit; Elizondo, Marcelo A.; Zhang, Wei; Lu, Shuai; Samaan, Nader A.; Butler-Purry, Karen

    2012-07-22T23:59:59.000Z

    In an isolated power system (rural microgrid), Distributed Energy Resources (DERs) such as renewable energy resources (wind, solar), energy storage and demand response can be used to complement fossil fueled generators. The uncertainty and variability due to high penetration of wind makes reliable system operations and controls challenging. In this paper, an optimal control strategy is proposed to coordinate energy storage and diesel generators to maximize wind penetration while maintaining system economics and normal operation. The problem is formulated as a multi-objective optimization problem with the goals of minimizing fuel costs and changes in power output of diesel generators, minimizing costs associated with low battery life of energy storage and maintaining system frequency at the nominal operating value. Two control modes are considered for controlling the energy storage to compensate either net load variability or wind variability. Model predictive control (MPC) is used to solve the aforementioned problem and the performance is compared to an open-loop look-ahead dispatch problem. Simulation studies using high and low wind profiles, as well as, different MPC prediction horizons demonstrate the efficacy of the closed-loop MPC in compensating for uncertainties in wind and demand.

  1. Large Scale Computing and Storage Requirements for High Energy Physics

    SciTech Connect (OSTI)

    Gerber, Richard A.; Wasserman, Harvey

    2010-11-24T23:59:59.000Z

    The National Energy Research Scientific Computing Center (NERSC) is the leading scientific computing facility for the Department of Energy's Office of Science, providing high-performance computing (HPC) resources to more than 3,000 researchers working on about 400 projects. NERSC provides large-scale computing resources and, crucially, the support and expertise needed for scientists to make effective use of them. In November 2009, NERSC, DOE's Office of Advanced Scientific Computing Research (ASCR), and DOE's Office of High Energy Physics (HEP) held a workshop to characterize the HPC resources needed at NERSC to support HEP research through the next three to five years. The effort is part of NERSC's legacy of anticipating users needs and deploying resources to meet those demands. The workshop revealed several key points, in addition to achieving its goal of collecting and characterizing computing requirements. The chief findings: (1) Science teams need access to a significant increase in computational resources to meet their research goals; (2) Research teams need to be able to read, write, transfer, store online, archive, analyze, and share huge volumes of data; (3) Science teams need guidance and support to implement their codes on future architectures; and (4) Projects need predictable, rapid turnaround of their computational jobs to meet mission-critical time constraints. This report expands upon these key points and includes others. It also presents a number of case studies as representative of the research conducted within HEP. Workshop participants were asked to codify their requirements in this case study format, summarizing their science goals, methods of solution, current and three-to-five year computing requirements, and software and support needs. Participants were also asked to describe their strategy for computing in the highly parallel, multi-core environment that is expected to dominate HPC architectures over the next few years. The report includes a section that describes efforts already underway or planned at NERSC that address requirements collected at the workshop. NERSC has many initiatives in progress that address key workshop findings and are aligned with NERSC's strategic plans.

  2. Optimizing Cluster Heads for Energy Efficiency in Large-Scale Heterogeneous Wireless Sensor Networks

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Gu, Yi; Wu, Qishi; Rao, Nageswara S. V.

    2010-01-01T23:59:59.000Z

    Many complex sensor network applications require deploying a large number of inexpensive and small sensors in a vast geographical region to achieve quality through quantity. Hierarchical clustering is generally considered as an efficient and scalable way to facilitate the management and operation of such large-scale networks and minimize the total energy consumption for prolonged lifetime. Judicious selection of cluster heads for data integration and communication is critical to the success of applications based on hierarchical sensor networks organized as layered clusters. We investigate the problem of selecting sensor nodes in a predeployed sensor network to be the cluster heads tomore »minimize the total energy needed for data gathering. We rigorously derive an analytical formula to optimize the number of cluster heads in sensor networks under uniform node distribution, and propose a Distance-based Crowdedness Clustering algorithm to determine the cluster heads in sensor networks under general node distribution. The results from an extensive set of experiments on a large number of simulated sensor networks illustrate the performance superiority of the proposed solution over the clustering schemes based onk-means algorithm.« less

  3. Modeling of customer adoption of distributed energy resources

    SciTech Connect (OSTI)

    Marnay, Chris; Chard, Joseph S.; Hamachi, Kristina S.; Lipman, Timothy; Moezzi, Mithra M.; Ouaglal, Boubekeur; Siddiqui, Afzal S.

    2001-08-01T23:59:59.000Z

    This report describes work completed for the California Energy Commission (CEC) on the continued development and application of the Distributed Energy Resources Customer Adoption Model (DER-CAM). This work was performed at Ernest Orlando Lawrence Berkeley National Laboratory (Berkeley Lab) between July 2000 and June 2001 under the Consortium for Electric Reliability Technology Solutions (CERTS) Distributed Energy Resources Integration (DERI) project. Our research on distributed energy resources (DER) builds on the concept of the microgrid ({mu}Grid), a semiautonomous grouping of electricity-generating sources and end-use sinks that are placed and operated for the benefit of its members. Although a {mu}Grid can operate independent of the macrogrid (the utility power network), the {mu}Grid is usually interconnected, purchasing energy and ancillary services from the macrogrid. Groups of customers can be aggregated into {mu}Grids by pooling their electrical and other loads, and the most cost-effective combination of generation resources for a particular {mu}Grid can be found. In this study, DER-CAM, an economic model of customer DER adoption implemented in the General Algebraic Modeling System (GAMS) optimization software is used, to find the cost-minimizing combination of on-site generation customers (individual businesses and a {mu}Grid) in a specified test year. DER-CAM's objective is to minimize the cost of supplying electricity to a specific customer by optimizing the installation of distributed generation and the self-generation of part or all of its electricity. Currently, the model only considers electrical loads, but combined heat and power (CHP) analysis capability is being developed under the second year of CEC funding. The key accomplishments of this year's work were the acquisition of increasingly accurate data on DER technologies, including the development of methods for forecasting cost reductions for these technologies, and the creation of a credible example California {mu}Grid for use in this study and in future work. The work performed during this year demonstrates the viability of DER-CAM and of our approach to analyzing adoption of DER.

  4. Predicting the Power Output of Distributed Renewable Energy Resources within a Broad Geographical Region

    E-Print Network [OSTI]

    Chalkiadakis, Georgios

    Predicting the Power Output of Distributed Renewable Energy Resources within a Broad Geographical potentially dis- tributed renewable energy resources (su years, estimating the power output of in- herently intermittent and potentially distributed renewable

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

    E-Print Network [OSTI]

    Stadler, Michael

    2010-01-01T23:59:59.000Z

    solar/calculators/PVWATTS/version1/ Firestone, R. , (2004), “Distributed Energy Resources Customersolar thermal collectors, absorption chillers, batteries and thermal storage systems. We apply the Distributed Energy Resources Customer

  6. Distributed Energy Resources at Naval Base Ventura County Building 1512: A Sensitivity Analysis

    E-Print Network [OSTI]

    Bailey, Owen C.; Marnay, Chris

    2005-01-01T23:59:59.000Z

    cost estimates) Figure 4: Capital and O&M Costs Sensitivity – Separate Refrigeration Load Distributed Energy Resourcescost estimates) Figure 8: Capital and O&M Costs Sensitivity Analysis – Integrated Refrigeration Load Distributed Energy Resources

  7. An Adaptive Voltage Control Algorithm with Multiple Distributed Energy

    SciTech Connect (OSTI)

    Li, Huijuan [University of Tennessee, Knoxville (UTK); Li, Fangxing [ORNL; Adhikari, Sarina [ORNL; Xu, Yan [ORNL; Rizy, D Tom [ORNL; Kueck, John D [ORNL

    2009-01-01T23:59:59.000Z

    Distributed energy resources (DE) with power electronics (PE) interfaces with the right control are capable of providing reactive power related ancillary services. Voltage regulation in particular has drawn much attention. In this paper the challenges to control multiple DEs to regulate the local voltage in distribution systems is addressed and a decentralized adaptive voltage control method is proposed. The simulation results in different system conditions show that this adaptive voltage control method is capable of satisfying the fast response speed requirement without causing oscillation or instability of the system. Since this method has high tolerance to the shortage of the system parameters and can be widely adaptive to the variable operation situations of the power systems, it is very suited for the utility application.

  8. The Association of Large-Scale Climate Variability and Teleconnections on Wind Energy Resource

    E-Print Network [OSTI]

    The Association of Large-Scale Climate Variability and Teleconnections on Wind Energy Resource over on Wind Energy Resource over Europe and its Intermittency Pascal Kriesche* and Adam Schlosser* Abstract

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

    Open Energy Info (EERE)

    Up Renewable Energy in Low Income Countries (SREP) Jump to: navigation, search Name Kenya-Program for Scaling Up Renewable Energy in Low Income Countries (SREP) AgencyCompany...

  10. Toward high-energy-density, high-efficiency, and moderate-temperature chip-scale thermophotovoltaics

    E-Print Network [OSTI]

    Pilawa-Podgurski, R. C. N.

    The challenging problem of ultra-high-energy-density, high-efficiency, and small-scale portable power generation is addressed here using a distinctive thermophotovoltaic energy conversion mechanism and chip-based system ...

  11. UNIVERSITY OF CALIFORNIA, SAN DIEGO Configurable Energy-efficient Co-processors to Scale the

    E-Print Network [OSTI]

    UNIVERSITY OF CALIFORNIA, SAN DIEGO Configurable Energy-efficient Co-processors to Scale . . . . . . . . . . . . . . . . 18 Chapter 3 Patchable Conservation Cores: Energy-efficient circuits with processor-like lifetimes

  12. LARGE-SCALE DISTRIBUTION OF ARRIVAL DIRECTIONS OF COSMIC RAYS DETECTED ABOVE 10{sup 18} eV AT THE PIERRE AUGER OBSERVATORY

    SciTech Connect (OSTI)

    Abreu, P.; Andringa, S. [LIP and Instituto Superior Tecnico, Technical University of Lisbon (Portugal); Aglietta, M. [Istituto di Fisica dello Spazio Interplanetario (INAF), Universita di Torino and Sezione INFN, Torino (Italy); Ahlers, M. [University of Wisconsin, Madison, WI (United States); Ahn, E. J. [Fermilab, Batavia, IL (United States); Albuquerque, I. F. M. [Instituto de Fisica, Universidade de Sao Paulo, Sao Paulo, SP (Brazil); Allard, D. [Laboratoire AstroParticule et Cosmologie (APC), Universite Paris 7, CNRS-IN2P3, Paris (France); Allekotte, I. [Centro Atomico Bariloche and Instituto Balseiro (CNEA-UNCuyo-CONICET), San Carlos de Bariloche (Argentina); Allen, J. [New York University, New York, NY (United States); Allison, P. [Ohio State University, Columbus, OH (United States); Almela, A. [Facultad Regional Buenos Aires, Universidad Tecnologica Nacional, Buenos Aires (Argentina); Alvarez Castillo, J. [Universidad Nacional Autonoma de Mexico, Mexico, D. F. (Mexico); Alvarez-Muniz, J. [Universidad de Santiago de Compostela (Spain); Alves Batista, R. [IFGW, Universidade Estadual de Campinas, Campinas, SP (Brazil); Ambrosio, M.; Aramo, C. [Universita di Napoli 'Federico II' and Sezione INFN, Napoli (Italy); Aminaei, A. [IMAPP, Radboud University Nijmegen (Netherlands); Anchordoqui, L. [University of Wisconsin, Milwaukee, WI (United States); Antici'c, T. [Rudjer Boskovi'c Institute, 10000 Zagreb (Croatia); Arganda, E. [IFLP, Universidad Nacional de La Plata and CONICET, La Plata (Argentina); Collaboration: Pierre Auger Collaboration; and others

    2012-12-15T23:59:59.000Z

    A thorough search for large-scale anisotropies in the distribution of arrival directions of cosmic rays detected above 10{sup 18} eV at the Pierre Auger Observatory is presented. This search is performed as a function of both declination and right ascension in several energy ranges above 10{sup 18} eV, and reported in terms of dipolar and quadrupolar coefficients. Within the systematic uncertainties, no significant deviation from isotropy is revealed. Assuming that any cosmic-ray anisotropy is dominated by dipole and quadrupole moments in this energy range, upper limits on their amplitudes are derived. These upper limits allow us to test the origin of cosmic rays above 10{sup 18} eV from stationary Galactic sources densely distributed in the Galactic disk and predominantly emitting light particles in all directions.

  13. 2013 Distributed Wind Market Report Data | 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: The Future of BadTHEEnergy Vehicle Analysis 2013|Department56213 Distributed

  14. A Quantum Phase Transition in the Cosmic Ray Energy Distribution

    E-Print Network [OSTI]

    Widom, A; Srivastava, Y

    2015-01-01T23:59:59.000Z

    We here argue that the "knee" of the cosmic ray energy distribution at $E_c \\sim 1$ PeV represents a second order phase transition of cosmic proportions. The discontinuity of the heat capacity per cosmic ray particle is given by $\\Delta c=0.450196\\ k_B$. However the idea of a deeper critical point singularity cannot be ruled out by present accuracy in neither theory nor experiment. The quantum phase transition consists of cosmic rays dominated by bosons for the low temperature phase E E_c$. The low temperature phase arises from those nuclei described by the usual and conventional collective boson models of nuclear physics. The high temperature phase is dominated by protons. The transition energy $E_c$ may be estimated in terms of the photo-disintegration of nuclei.

  15. Large Scale GSHP as Alternative Energy for American Farmers

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

    system * Technical Challenges: GSHP system with lower initial cost Distribution and climate control inside barns High efficient and affordable solar collector Appropriate and...

  16. An alternative scaling solution for high-energy QCD saturation with running coupling

    E-Print Network [OSTI]

    Beuf, Guillaume

    2008-01-01T23:59:59.000Z

    A new type of approximate scaling compatible with the Balitsky-Kovchegov equation with running coupling is found, which is different from the previously known running coupling geometric scaling. The corresponding asymptotic traveling wave solution is derived. Although featuring different scaling behaviors, the two solutions are complementary approximations of the same universal solution, and they become equivalent in the high energy limit. The new type of scaling is observed in the small-x DIS data.

  17. An alternative scaling solution for high-energy QCD saturation with running coupling

    E-Print Network [OSTI]

    Guillaume Beuf

    2008-03-14T23:59:59.000Z

    A new type of approximate scaling compatible with the Balitsky-Kovchegov equation with running coupling is found, which is different from the previously known running coupling geometric scaling. The corresponding asymptotic traveling wave solution is derived. Although featuring different scaling behaviors, the two solutions are complementary approximations of the same universal solution, and they become equivalent in the high energy limit. The new type of scaling is observed in the small-x DIS data.

  18. Energy Department Applauds Nation's First Large-Scale Industrial...

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

    in the global clean energy economy, creating new jobs while reducing carbon pollution," said US Energy Secretary Steven Chu. "This first of its kind project will bring...

  19. Commercial-Scale Renewable-Energy Grants (Rhode Island)

    Broader source: Energy.gov [DOE]

    The Rhode Island Economic Development Corporation (RIEDC) provides incentives for renewable-energy projects. Incentive programs are funded by the Rhode Island Renewable Energy Fund (RIREF) and...

  20. Large Scale Computing and Storage Requirements for Basic Energy...

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

    Biological and Environmental Science (BER) Fusion Energy Sciences (FES) High Energy Physics (HEP) Nuclear Physics (NP) Overview Published Reports Case Study FAQs Home Science at...

  1. Large-Scale Renewable Energy Projects (Larger than 10 MWs) |...

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

    Renewable energy projects larger than 10 megawatts (MW) are complex and typically require private-sector financing. The Federal Energy Management Program (FEMP) developed a guide...

  2. Scaling of the F_2 structure function in nuclei and quark distributions at x>1

    E-Print Network [OSTI]

    N. Fomin; J. Arrington; D. B. Day; D. Gaskell; A. Daniel; J. Seely; R. Asaturyan; F. Benmokhtar; W. Boeglin; B. Boillat; P. Bosted; A. Bruell; M. H. S. Bukhari; M. E. Christy; E. Chudakov; B. Clasie; S. H. Connell; M. M. Dalton; D. Dutta; R. Ent; L. El Fassi; H. Fenker; B. W. Filippone; K. Garrow; C. Hill; R. J. Holt; T. Horn; M. K. Jones; J. Jourdan; N. Kalantarians; C. E. Keppel; D. Kiselev; M. Kotulla; R. Lindgren; A. F. Lung; S. Malace; P. Markowitz; P. McKee; D. G. Meekins; T. Miyoshi; H. Mkrtchyan; T. Navasardyan; G. Niculescu; Y. Okayasu; A. K. Opper; C. Perdrisat; D. H. Potterveld; V. Punjabi; X. Qian; P. E. Reimer; J. Roche; V. M. Rodriguez; O. Rondon; E. Schulte; E. Segbefia; K. Slifer; G. R. Smith; P. Solvignon; V. Tadevosyan; S. Tajima; L. Tang; G. Testa; R. Trojer; V. Tvaskis; W. F. Vulcan; C. Wasko; F. R. Wesselmann; S. A. Wood; J. Wright; X. Zheng

    2010-08-16T23:59:59.000Z

    We present new data on electron scattering from a range of nuclei taken in Hall C at Jefferson Lab. For heavy nuclei, we observe a rapid falloff in the cross section for $x>1$, which is sensitive to short range contributions to the nuclear wave-function, and in deep inelastic scattering corresponds to probing extremely high momentum quarks. This result agrees with higher energy muon scattering measurements, but is in sharp contrast to neutrino scattering measurements which suggested a dramatic enhancement in the distribution of the `super-fast' quarks probed at x>1. The falloff at x>1 is noticeably stronger in ^2H and ^3He, but nearly identical for all heavier nuclei.

  3. Scaling of the F_2 structure function in nuclei and quark distributions at x>1

    E-Print Network [OSTI]

    Fomin, N; Day, D B; Gaskell, D; Daniel, A; Seely, J; Asaturyan, R; Benmokhtar, F; Boeglin, W; Boillat, B; Bosted, P; Bruell, A; Bukhari, M H S; Christy, M E; Chudakov, E; Clasie, B; Connell, S H; Dalton, M M; Dutta, D; Ent, R; Fassi, L El; Fenker, H; Filippone, B W; Garrow, K; Hill, C; Holt, R J; Horn, T; Jones, M K; Jourdan, J; Kalantarians, N; Keppel, C E; Kiselev, D; Kotulla, M; Lindgren, R; Lung, A F; Malace, S; Markowitz, P; McKee, P; Meekins, D G; Miyoshi, T; Mkrtchyan, H; Navasardyan, T; Niculescu, G; Okayasu, Y; Opper, A K; Perdrisat, C; Potterveld, D H; Punjabi, V; Qian, X; Reimer, P E; Roche, J; Rodriguez, V M; Rondon, O; Schulte, E; Segbefia, E; Slifer, K; Smith, G R; Solvignon, P; Tadevosyan, V; Tajima, S; Tang, L; Testa, G; Trojer, R; Tvaskis, V; Vulcan, W F; Wasko, C; Wesselmann, F R; Wood, S A; Wright, J; Zheng, X

    2010-01-01T23:59:59.000Z

    We present new data on electron scattering from a range of nuclei taken in Hall C at Jefferson Lab. For heavy nuclei, we observe a rapid falloff in the cross section for $x>1$, which is sensitive to short range contributions to the nuclear wave-function, and in deep inelastic scattering corresponds to probing extremely high momentum quarks. This result agrees with higher energy muon scattering measurements, but is in sharp contrast to neutrino scattering measurements which suggested a dramatic enhancement in the distribution of the `super-fast' quarks probed at x>1. The falloff at x>1 is noticeably stronger in ^2H and ^3He, but nearly identical for all heavier nuclei.

  4. Energy-aware Workflow Scheduling Using Frequency Scaling Ilia Pietri, Rizos Sakellariou

    E-Print Network [OSTI]

    Sakellariou, Rizos

    when overall energy consumption can be decreased. Synthetic data based on parameters of real scientific overall energy consumption. Keywords-energy-aware scheduling; frequency scaling; DVFS; DAG scheduling to a respective voltage level [3]. Lowering the frequency may lead to decreased energy consumption

  5. Role for Distributed Energy Resources (DER) in the Digital Economy

    SciTech Connect (OSTI)

    Key, Thomas S [Electric Power Research Institute (EPRI)

    2007-11-01T23:59:59.000Z

    A large, and growing, part of the Nation's economy either serves or depends upon the information technology industry. These high-tech or "digital" enterprises are characterized by a dependence on electronic devices, need for completely reliable power supply, and intolerance to any power quality problems. In some cases these enterprises are densely populated with electronic loads and have very high energy usage per square foot. Serving these enterprises presents both electric power and equipment cooling challenges. Traditional electric utilities are often hard-pressed to deliver power that meets the stringent requirements of digital customers, and the economic and social consequences of a service quality or reliability problem can be large. New energy delivery and control options must be developed to effectively serve a digital economy. This report explores how distributed energy resources, partnerships between utility and customer to share the responsibility for service quality, innovative facility designs, higher energy efficiencies and waste-heat utilization can be coupled to meet the needs of a growing digital economy.

  6. Mining for Availability Models in Large-Scale Distributed Systems: A Case Study of SETI@home

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Mining for Availability Models in Large-Scale Distributed Systems: A Case Study of SETI@home Bahman. Invariably, these systems are composed of heterogeneous hosts whose indi- vidual availability often exhibit describe an effective method for discovering subsets of hosts whose availability have similar statistical

  7. Mining for Statistical Models of Availability in Large-Scale Distributed Systems: An Empirical Study of SETI@home

    E-Print Network [OSTI]

    Kondo, Derrick

    Mining for Statistical Models of Availability in Large-Scale Distributed Systems: An Empirical, these systems are composed of heterogeneous hosts whose individual availability often exhibit different an effective method for discovering subsets of hosts whose availability have similar statistical properties

  8. Comparative EPMA and -XRF methods for mapping micro-scale distribution of iodine in biocarbonates of the CallovianOxfordian

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Comparative EPMA and -XRF methods for mapping micro-scale distribution of iodine in biocarbonates spectrometry (IR), electron microprobe (EPMA), spatially resolved synchrotron-based X-ray fluorescence (-XRF recrystallized into diagenetic calcite and celestite. EPMA and -XRF data show bioaccumulation of iodine

  9. Biomass energy: the scale of the potential resource

    E-Print Network [OSTI]

    $5% of world primary energy con- sumption in 2006. The global potential for biomass energy production usage. Increasing biomass energy production beyond this level would probably reduce food security that can be used for biomass energy production. The third is alternative uses for the land and water

  10. Velocity distribution of high-energy particles and the solar neutrino problem

    E-Print Network [OSTI]

    Jian-Miin Liu

    2001-08-18T23:59:59.000Z

    High energy infers high velocity and high velocity is a concept of special relativity. The Maxwellian velocity distribution is corrected to be consistent with special relativity. The corrected distribution reduces to the Maxwellian distribution for small velocities, contains a relatively depleted high-energy tail and vanishes at the velocity of light. This corrected distribution will lower solar neutrino fluxes and change solar neutrino energy spectra but keep solar sound speeds.

  11. Utility Grid-Connected Distributed Power Systems National Solar Energy Conference

    E-Print Network [OSTI]

    Utility Grid-Connected Distributed Power Systems National Solar Energy Conference ASES Solar 96 at least half of its energy obtained from energy efficiency and renewable resources by the year 2000. Solar energy, distributed generation resource. Investments made in solar power today are expected to provide

  12. Cost-and Energy-Aware Load Distribution Across Data Centers

    E-Print Network [OSTI]

    Cost- and Energy-Aware Load Distribution Across Data Centers Kien T. Le Ricardo Bianchini Margaret a framework to manage energy and cost Determine a request distribution across data centers Minimize cost while OverallCost = periods of day, data centers DCCost DCCost = Base Energy + Dynamic Energy Assume Load

  13. A membrane-free lithium/polysulfide semi-liquid battery for large-scale energy storage

    E-Print Network [OSTI]

    Cui, Yi

    A membrane-free lithium/polysulfide semi-liquid battery for large-scale energy storage Yuan Yang,a Guangyuan Zhengb and Yi Cui*ac Large-scale energy storage represents a key challenge for renewable energy develop a new lithium/ polysulfide (Li/PS) semi-liquid battery for large-scale energy storage

  14. Probing the imprint of interacting dark energy on very large scales

    E-Print Network [OSTI]

    Duniya, Didam; Maartens, Roy

    2015-01-01T23:59:59.000Z

    The observed galaxy power spectrum acquires relativistic corrections from lightcone effects, and these corrections grow on very large scales. Future galaxy surveys in optical, infrared and radio bands will probe increasingly large wavelength modes and reach higher redshifts. In order to exploit the new data on large scales, an accurate analysis requires inclusion of the relativistic effects. This is especially the case for primordial non-Gaussianity and for extending tests of dark energy models to horizon scales. Here we investigate the latter, focusing on models where the dark energy interacts non-gravitationally with dark matter. Interaction in the dark sector can also lead to large-scale deviations in the power spectrum. If the relativistic effects are ignored, the imprint of interacting dark energy will be incorrectly identified and thus lead to a bias in constraints on interacting dark energy on very large scales.

  15. Alternative energy estimation from the shower lateral distribution function

    E-Print Network [OSTI]

    De Souza, V; Brito, J; Dobrigkeit, C; Medina-Tanco, G; Souza, Vitor de; Escobar, Carlos O.; Brito, Joel; Dobrigkeit, Carola; Medina-Tanco, Gustavo

    2005-01-01T23:59:59.000Z

    The surface detector technique has been successfully used to detect cosmic ray showers for several decades. Scintillators or Cerenkov water tanks can be used to measure the number of particles and/or the energy density at a given depth in the atmosphere and reconstruct the primary particle properties. It has been shown that the experiment configuration and the resolution in reconstructing the core position determine a distance to the shower axis in which the lateral distribution function (LDF) of particles shows the least variation with respect to different primary particles type, simulation models and specific shapes of the LDF. Therefore, the signal at this distance (600 m for Haverah Park and 1000 m for Auger Observatory) has shown to be a good estimator of the shower energy. Revisiting the above technique, we show that a range of distances to the shower axis, instead of one single point, can be used as estimator of the shower energy. A comparison is done for the Auger Observatory configuration and the new...

  16. Alternative energy estimation from the shower lateral distribution function

    E-Print Network [OSTI]

    Vitor de Souza; Carlos O. Escobar; Joel Brito; Carola Dobrigkeit; Gustavo Medina-Tanco

    2005-09-16T23:59:59.000Z

    The surface detector technique has been successfully used to detect cosmic ray showers for several decades. Scintillators or Cerenkov water tanks can be used to measure the number of particles and/or the energy density at a given depth in the atmosphere and reconstruct the primary particle properties. It has been shown that the experiment configuration and the resolution in reconstructing the core position determine a distance to the shower axis in which the lateral distribution function (LDF) of particles shows the least variation with respect to different primary particles type, simulation models and specific shapes of the LDF. Therefore, the signal at this distance (600 m for Haverah Park and 1000 m for Auger Observatory) has shown to be a good estimator of the shower energy. Revisiting the above technique, we show that a range of distances to the shower axis, instead of one single point, can be used as estimator of the shower energy. A comparison is done for the Auger Observatory configuration and the new estimator proposed here is shown to be a good and robust alternative to the standard single point procedure.

  17. Scaling up energy efficiency: bridging the action gap

    E-Print Network [OSTI]

    percent of firms in Latin America, 38 percent of firms in South Asia and 44 percent of all firms in sub to 2050 of the International Energy Agency. Other measures, including increased use of renewable energy

  18. Asynchronous Coordination of Distributed Energy Resources for the Provisioning of Ancillary Services

    E-Print Network [OSTI]

    Hadjicostis, Christoforos

    Asynchronous Coordination of Distributed Energy Resources for the Provisioning of Ancillary the stability of asynchronous coordination protocols and studies their application to energy resource it towards energy resource provisioning of ancillary services in a power grid. I. INTRODUCTION The presence

  19. Emission Lines and the Spectral Energy Distributions of Quasars

    E-Print Network [OSTI]

    B. J. Wilkes; P. J. Green; S. Mathur; J. C. McDowell

    1996-08-05T23:59:59.000Z

    Many years of study have failed to conclusively establish relations between a quasar's spectral energy distribution (SED) and the emission lines it is thought to produce. This is at least partially due to the lack of well-observed SEDs. We present initial results from a line--SED study for a sample of 43 quasars and active galaxies for which we have optical and ultra-violet spectra and far-infrared--X-ray SEDs. We present the results of tests for correlations between line equivalent widths and SED luminosity and slope parameters and compare these results to those from earlier studies. We find that the Baldwin effect is weaker when the luminosity is defined close to the ionising continuum of that line and conclude that the detailed SED is likely to be important in making further progress.

  20. Energy-based Control of a Distributed Solar Collector Tor A. Johansena

    E-Print Network [OSTI]

    Johansen, Tor Arne

    Energy-based Control of a Distributed Solar Collector Field Tor A. Johansena Camilla Storaaa that the primary energy source, solar radiation, cannot be manipulated. The distributed solar collector eld may, Norway. Model-based control of the outlet temperature of a distributed solar col- lector eld is studied

  1. Lessons from Large-Scale Renewable Energy Integration Studies: Preprint

    SciTech Connect (OSTI)

    Bird, L.; Milligan, M.

    2012-06-01T23:59:59.000Z

    In general, large-scale integration studies in Europe and the United States find that high penetrations of renewable generation are technically feasible with operational changes and increased access to transmission. This paper describes other key findings such as the need for fast markets, large balancing areas, system flexibility, and the use of advanced forecasting.

  2. Distributed Energy Alternative to Electrical Distribution Grid Expansion in Consolidated Edison Service Territory

    SciTech Connect (OSTI)

    Kingston, Tim [Gas Technology Institute; Kelly, John [Endurant Energy LLC

    2008-08-01T23:59:59.000Z

    The nation's power grid, specifically the New York region, faces burgeoning energy demand and suffers from congested corridors and aging equipment that cost New York consumers millions of dollars. Compounding the problem is high-density buildup in urban areas that limits available space to expand grid capacity. Coincidently, these urban areas are precisely where additional power is required. DER in this study refers to combined heat and power (CHP) technology, which simultaneously generates heat and electricity at or near the point where the energy will be consumed. There are multiple CHP options available that, combined with a portfolio of other building energy efficiency (EE) strategies, can help achieve a more efficient supply-demand balance than what the grid can currently provide. As an alternative to expanding grid capacity, CHP and EE strategies can be deployed in a flexible manner at virtually any point on the grid to relieve load. What's more, utilities and customers can install them in a variety of potentially profitable applications that are more environmentally friendly. Under the auspices of the New York State Energy Research and Development Authority (NYSERDA) and the Oak Ridge National Laboratory representing the Office of Electricity of the U.S. Department of Energy, Gas Technology Institute (GTI) conducted this study in cooperation with Consolidated Edison to help broaden the market penetration of EE and DER. This study provides realistic load models and identifies the impacts that EE and DER can have on the electrical distribution grid; specifically within the current economic and regulatory environment of a high load growth area of New York City called Hudson Yards in Midtown Manhattan. These models can be used to guide new policies that improve market penetration of appropriate CHP and EE technologies in new buildings. The following load modeling scenarios were investigated: (1) Baseline: All buildings are built per the Energy Conservation Construction Code of New York State (No CHP applied and no EE above the code); (2) Current Policy: This is a business-as-usual (BAU) scenario that incorporates some EE and DER based on market potential in the current economic and regulatory environment; (3) Modified Rate 14RA: This economic strategy is meant to decrease CHP payback by removing the contract demand from, and adding the delivery charge to the Con Edison Standby Rate PSC2, SC14-RA; (4) Carbon Trade at $20/metric tonne (mt): This policy establishes a robust carbon trading system in NY that would allow building owners to see the carbon reduction resulting from CHP and EE.

  3. INORGANIC NANOPARTICLES AS PHASE-CHANGE MATERIALS FOR LARGE-SCALE THERMAL ENERGY STORAGE

    E-Print Network [OSTI]

    Pennycook, Steve

    INORGANIC NANOPARTICLES AS PHASE-CHANGE MATERIALS FOR LARGE- SCALE THERMAL ENERGY STORAGE Miroslaw storage performance. The expected immediate outcome of this effort is the demonstration of high-energy generation at high efficiency could revolutionize the development of solar energy. Nanoparticle-based phase

  4. Status of Grid Scale Energy Storage and Strategies for Accelerating Cost Effective

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Status of Grid Scale Energy Storage and Strategies for Accelerating Cost Effective Deployment MIT · Motivation · Individual Functions/Markets · Energy Storage Technologies · Implementations to Combine) · Previously: · Energy storage and smart grid analyst at Lux Research and GTM Research · MIT SDM '08 (Graduated

  5. Scaling Behavior of the Life Cycle Energy of Residential Buildings and Impacts on Greenhouse Gas Emissions

    E-Print Network [OSTI]

    Hall, Sharon J.

    Scaling Behavior of the Life Cycle Energy of Residential Buildings and Impacts on Greenhouse Gas required for building the structure; and 2) the operational energy required for habitation energy used for space heating and cooling during the life of the building. Similar ratios are found

  6. A Scalable Model for Energy Load Balancing in Large-scale Sensor Networks

    E-Print Network [OSTI]

    de Veciana, Gustavo

    A Scalable Model for Energy Load Balancing in Large-scale Sensor Networks Seung Jun Baek we consider how one might achieve more balanced energy burdens across the network by spreading sinks change their locations to balance the energy burdens incurred accross the network nodes [1

  7. Funding for Large-Scale Sustainable Energy Projects Combining Expert Opinions to Support Decisions

    E-Print Network [OSTI]

    Mountziaris, T. J.

    Funding for Large-Scale Sustainable Energy Projects Combining Expert Opinions to Support Decisions for a sustainable energy future? Three teams, UMass, Harvard, and FEEM (Fondazione Eni Enrico Mattei), share a goal technologies to fund for optimal success for a sustainable energy future. Progress and Results · Created models

  8. Goal Practice & Experience: Status Quo and Future for Industrial Scale Biomass Energy Development in China

    Broader source: Energy.gov [DOE]

    Breakout Session 3D—Fostering Technology Adoption III: International Market Opportunities in Bioenergy Goal Practice & Experience : Status Quo and Future for Industrial Scale Biomass Energy Development in China Huiyong Zhuang, Research Professor, National Energy Research Center of Liquid Biofuel, National Bio Energy Co., Ltd.

  9. An Energy-Efficient Scheduling Algorithm Using Dynamic Voltage Scaling for Parallel Applications on Clusters

    E-Print Network [OSTI]

    Qin, Xiao

    1 An Energy-Efficient Scheduling Algorithm Using Dynamic Voltage Scaling for Parallel Applications clusters. In this paper, we propose an energy-efficient scheduling algorithm (TDVAS) using the dynamic in clusters is to make use of cutting- edge energy-efficient processors. This is because processors

  10. Locations of Smart Grid Demonstration and Large-Scale Energy...

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

    the location of all projects created with funding from the Smart Grid Demonstration and Energy Storage Project, funded through the American Recovery and Reinvestment Act....

  11. Energy Department Loan Guarantee Would Support Large-Scale Rooftop...

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

    Finalizes Partial Guarantee for 852 Million Loan to Support California Concentrating Solar Power Plant Energy Department Finalizes Loan Guarantee for Transformational Rooftop...

  12. The Relation between the Fundamental Scale Controlling High-Energy...

    Office of Scientific and Technical Information (OSTI)

    Resources U.S. Science Information - Science.gov Global Science Information - WorldWideScience.org - Energy Technology Data Exchange - International Nuclear Information System...

  13. Large Scale Computing and Storage Requirements for High Energy Physics

    E-Print Network [OSTI]

    Gerber, Richard A.

    2011-01-01T23:59:59.000Z

    number modeling of type ia supernovae. I. Hydrodynamics.number modeling of type ia supernovae. II. Energy evolution.Mach number modeling of type ia supernovae. III. Reactions.

  14. Scaling Considerations for Thermoelectric Generators | 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'tOrigin ofEnergy atLLC - FE DKT. 10-160-LNG -EnergyProcess| Department of Energy

  15. Tribal Renewable Energy Advanced Course: Facility Scale Project Development

    Office of Environmental Management (EM)

    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 33Frequently AskedEnergyIssuesEnergyTransportation Work Package| Department of Energy

  16. An efficient algorithm for load balancing of transformers and feeders by switch operation in large scale distribution systems

    SciTech Connect (OSTI)

    Aoki, K. (Hiroshima Univ., Higashihiroshima (JP)); Kuwabara, H. (Kinki Univ., Kure (JP)); Satoh, T. (Hiroshima Univ., Higashihiroshima (JP)); Kanezashi, M. (Aichi Institute of Technology, Toyota (JP))

    1988-10-01T23:59:59.000Z

    This paper presents a systematic and practical algorithm for load balancing of transformers and feeders by automatic sectionalizing switch operation in large scale distribution systems of radial type. The algorithm is developed by extending an approximation algorithm for load transfer of desired two transformers. The algorithm proposed here is applicable to operations not only in normal state, but also in scheduled and failure outage states. Computational experience on a real large scale system has indicated that the algorithm is valid and effective for practical operations.

  17. Optimal capacitor placement, replacement and control in large-scale unbalanced distribution systems: System solution algorithm and numerical studies

    SciTech Connect (OSTI)

    Chiang, H.D.; Wang, J.C.; Tong, J. [Cornell Univ., Ithaca, NY (United States). School of Electrical Engineering; Darling, G. [NYSEG Corp., Binghamton, NY (United States). Distribution System Dept.

    1994-12-31T23:59:59.000Z

    This paper develops an effective and, yet, practical solution methodology for optimal capacitor placement, replacement and control in large-scale unbalanced, general radial or loop distribution systems. The solution methodology can optimally determine (1) the locations to install (or replace, or remove) capacitors, (2) the types and sizes of capacitors to be installed (or replaced) and, during each load level, (3) the control schemes for each capacitor in the nodes of a general three-phase unbalanced distribution system such that a desired objective function is minimized while the load constraints, network constraints and operational constraints at different load levels are satisfied. The solution methodology is based on a combination of the simulated annealing technique and the greedy search technique in order to achieve computational speed and high-quality of solutions. Both the numerical and implementational aspects of the solution methodology are detailed. Analysis of the computational complexity of the solution algorithm indicated that the algorithm is also effective for large-scale distribution systems in terms of occupational efforts. Test results on a realistic, unbalanced distribution network, a 291-bus with 77 laterals, 305 distribution lines and 6 transformers, with varying loading conditions, are presented with promising results. The robustness of the solution methodology under varying loading conditions is also investigated.

  18. Optimal capacitor placement, replacement and control in large-scale unbalanced distribution systems: System solution algorithms and numerical studies

    SciTech Connect (OSTI)

    Chiang, H.D.; Wang, J.C.; Tong, J. [Cornell Univ., Ithaca, NY (United States). School of Electrical Engineering; Darling, G. [NYSEG Corp., Binghamton, NY (United States). Distribution System Dept.

    1995-02-01T23:59:59.000Z

    This paper develops an effective and, yet, practical solution methodology for optimal capacitor placement, replacement and control in large-scale unbalanced, general radial or loop distribution systems. The solution methodology can optimally determine (i) the locations to install (or replace, or remove) capacitors, (ii) the types and sizes of capacitors to be installed (or replaced) and, during each load level, (iii) the control schemes for each capacitor in the nodes of a general three-phase unbalanced distribution system such that a desired objective function is minimized while the load constraints, network constraints and operational constraints at different load levels are satisfied. The solution methodology is based on a combination of the simulated annealing technique and the greedy search technique in order to achieve computational speed and high-quality of solutions. Both the numerical and implementational aspects of the solution methodology are detailed. Analysis of the computational complexity of the solution algorithm indicates that the algorithm is also effective for large-scale distribution systems in terms of computational efforts. Test results on a realistic, unbalanced distribution network, a 291-bus with 77 laterals, 305 distribution lines and 6 transformers, with varying loading conditions, are presented with promising results. The robustness of the solution methodology under varying loading conditions is also investigated.

  19. Minimizing Energy Consumption in a Water Distribution System: A Systems Modeling Approach

    E-Print Network [OSTI]

    Johnston, John

    2011-08-08T23:59:59.000Z

    In a water distribution system from groundwater supply, the bulk of energy consumption is expended at pump stations. These pumps pressurize the water and transport it from the aquifer to the distribution system and to elevated storage tanks. Each...

  20. Overview of village scale, renewable energy powered desalination

    SciTech Connect (OSTI)

    Thomas, K.E.

    1997-04-01T23:59:59.000Z

    An overview of desalination technologies is presented, focusing on those technologies appropriate for use in remote villages, and how they can be powered using renewable energy. Technologies are compared on the basis of capital cost, lifecycle cost, operations and maintenance complexity, and energy requirements. Conclusions on the appropriateness of different technologies are drawn, and recommendations for future research are given.

  1. Poster Abstract: Energy-Efficient Distributed Support Vector Machines for Wireless Sensor Networks

    E-Print Network [OSTI]

    Tsakalides, Panagiotis

    Poster Abstract: Energy-Efficient Distributed Support Vector Machines for Wireless Sensor Networks of interest. In this paper, we present two energy-efficient algorithms to perform distributed incremental centralized SVM training methods, while being much more efficient in terms of energy cost. 1. INTRODUCTION One

  2. Model-predicted distribution of wind-induced internal wave energy in the world's oceans

    E-Print Network [OSTI]

    Miami, University of

    Model-predicted distribution of wind-induced internal wave energy in the world's oceans Naoki 9 July 2008; published 30 September 2008. [1] The distribution of wind-induced internal wave energy-induced internal wave energy in the world's oceans, J. Geophys. Res., 113, C09034, doi:10.1029/2008JC004768. 1

  3. SUBGRID PARAMETERIZATION OF SNOW DISTRIBUTION FOR AN ENERGY AND MASS BALANCE SNOW COVER MODEL

    E-Print Network [OSTI]

    Tarboton, David

    SUBGRID PARAMETERIZATION OF SNOW DISTRIBUTION FOR AN ENERGY AND MASS BALANCE SNOW COVER MODEL & Sons, Ltd. #12;1 SUBGRID PARAMETERIZATION OF SNOW DISTRIBUTION FOR AN ENERGY AND MASS BALANCE SNOW of the lumped snowpack mass and energy balance applied to a 26-ha rangeland catchment with high spatial

  4. A Technology for Electronic Energy Meters Intelligent Accounting Using Distributed Database over TCP/IP Network

    E-Print Network [OSTI]

    Borissova, Daniela

    4 8 A Technology for Electronic Energy Meters Intelligent Accounting Using Distributed Database in their entirety. 2. Electronic energy metersaccountingtechnology developed inthe project The technology under Collection Electronic Energy Meters Distributed Database over TCP/IP Network Optical Head Optical Port RS-232

  5. Indianapolis Power and Light- Small-Scale Renewable Energy Incentive Program

    Broader source: Energy.gov [DOE]

    '''''Note: The Small-Scale Renewable Energy Program is currently closed for residential customers. Applications received during this time will be placed on a waiting list. Funds are still available...

  6. New Supersymmetric Two-Higgs-Doublet Structure at the Electroweak Energy Scale

    E-Print Network [OSTI]

    Ernest Ma

    1993-06-03T23:59:59.000Z

    Contrary to common belief, the requirement that supersymmetry exists and that there are two Higgs doublets and no singlet at the electroweak energy scale does not necessarily result in the minimal supersymmetric standard model (MSSM). An interesting alternative is presented.

  7. Status of grid scale energy storage and strategies for accelerating cost effective deployment

    E-Print Network [OSTI]

    Kluza, John Jerome

    2009-01-01T23:59:59.000Z

    The development of emerging grid scale energy storage technologies offers great potential to improve the architecture and operation of the electrical grid. This is especially important in the face of increased reliance on ...

  8. Utility Scale Renewable Energy Development Near DOD Installations: Making the Case for Land Use Compatitbility

    Broader source: Energy.gov [DOE]

    Presentation covers Utility Scale Renewable Energy Development Near DOD Installations and is given at the Spring 2010 Federal Utility Partnership Working Group (FUPWG) meeting in Rapid City, South Dakota.

  9. The dark energy scale in superconductors: Innovative theoretical and experimental concepts

    E-Print Network [OSTI]

    Christian Beck; Clovis Jacinto de Matos

    2008-04-24T23:59:59.000Z

    We revisit the cosmological constant problem using the viewpoint that the observed value of dark energy density in the universe actually represents a rather natural value arising as the geometric mean of two vacuum energy densities, one being extremely large and the other one being extremely small. The corresponding mean energy scale is the Planck-Einstein scale l_PE = (l_P l_E)^1/2 = (hbar G/ c^3 Lambda)^1/4 ~ 0.037 mm, a natural scale both for dark energy and the physics of superconductors. We deal with the statistics of quantum fluctuations underlying dark energy in superconductors and consider a scale transformation from the Planck scale to the Planck-Einstein scale which leaves the quantum physics invariant. Our approach unifies various experimentally confirmed or conjectured effects in superconductors into a common framework: Cutoff of vacuum fluctuation spectra, formation of Tao balls, anomalous gravitomagnetic fields, non-classical inertia, and time uncertainties in radioactive superconductors. We propose several new experiments which may further elucidate the role of the Planck-Einstein scale in superconductors.

  10. Large Scale GSHP as Alternative Energy for American Farmers Geothermal

    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 Pwer Plant Jump to:Landowners and Wind Energy Development Jump to:WaveLarderello

  11. Colorado Commercial-Scale Tribal Renewable Energy Workshop | Department of

    Office of Environmental Management (EM)

    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 1,613PortsmouthBartlesville EnergyDepartment. Cash 6-1ClayChange:Energy Colorado

  12. Exploring the Possibilities of the Smallest Scales | Department of Energy

    Energy Savers [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 directed off Energy.gov. Are you sure you want toworldPowerHome |Cooking

  13. Global Nuclear Energy Partnership Fact Sheet - Demonstrate Small-Scale

    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: CongestionDevelopment of a downholeReactors | Department of Energy

  14. Clean Energy Manufacturing Resources - Technology Full-Scale Production |

    Energy Savers [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 directed offOCHCO OverviewAttachments4 Chairs Meeting - AprilEvents Clean Energyof Energy Resource

  15. 2013 Community- and Facility-Scale Tribal Renewable Energy Project

    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 China 2015ofDepartment ofCBFO-13-3322(EE) |2Department of Energyof Environmental

  16. 2014 Commercial-Scale Renewable Energy Project Development and Finance

    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 China 2015ofDepartment ofCBFO-13-3322(EE)Department of EnergyOffice |First place

  17. Time-Off Awards Scale | Department of Energy

    Office of Environmental Management (EM)

    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 33Frequently AskedEnergyIssuesEnergy SolarRadioactive LiquidSavingsAugustPhase 2

  18. Tribal Renewable Energy Advanced Course: Commercial Scale Project

    Office of Environmental Management (EM)

    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 33Frequently AskedEnergyIssuesEnergyTransportation Work Package ReportsSouthernofofTRIBAL

  19. Tribal Renewable Energy Advanced Course: Community Scale Project

    Office of Environmental Management (EM)

    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 33Frequently AskedEnergyIssuesEnergyTransportation Work Package

  20. Large-Scale Hydropower Basics | Department of Energy

    Energy Savers [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 directed offOCHCO2:Introduction to Energy PerformanceJohn CymbalskyKristina

  1. Energy Department Applauds Nation's First Large-Scale Industrial Carbon

    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 Chinaof EnergyImpactOn July 2, 2014 inJohnSystems|in STEM Education | Department

  2. Development of a High-Speed Static Switch for Distributed Energy and Microgrid Applications

    SciTech Connect (OSTI)

    Kroposki, B.; Pink, C.; Lynch, J.; John, V.; Meor Daniel, S.; Benedict, E.; Vihinen, I.

    2007-01-01T23:59:59.000Z

    Distributed energy resources can provide power to local loads in the electric distribution system and benefits such as improved reliability. Microgrids are intentional islands formed at a facility or in an electrical distribution system that contains at least one distributed resource and associated loads. Microgrids that operate both electrical generation and loads in a coordinated manner can offer additional benefits to the customer and local utility. The loads and energy sources can be disconnected from and reconnected to the area or local utility with minimal disruption to the local loads, thereby improving reliability. This paper details the development and testing of a highspeed static switch for distributed energy and microgrid applications.

  3. Dark Energy and Large-Scale Structure of the Universe

    E-Print Network [OSTI]

    Yu. Kulinich; B. Novosyadlyj

    2004-12-14T23:59:59.000Z

    The evolution of matter density perturbations in two-component model of the Universe consisting of dark energy (DE) and dust-like matter (M) is considered. We have analyzed it for two kinds of DE with $\\omega\

  4. 2013 Commercial-Scale Workshop | Department of Energy

    Office of Environmental Management (EM)

    proximity to military bases, 54% are located in the West, 18% in the Pacific Northwest, and 12% in New England and New York. New Renewable Energy Development Resources for Tribes...

  5. Community Renewable Energy Success Stories: Community-Scale Anaerobic...

    Office of Environmental Management (EM)

    stringent-or ambitious. I shouldn't say stringent. We are shooting for 100% renewable energy by 2022 and 100% Green City Fleet by 2022, so we are working on those initiatives...

  6. UOP Pilot-Scale Biorefinery | 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 DensityEnergy U.S.-China Electric Vehicle and Battery Technology WorkshopUDAC|

  7. COLORADO COMMERCIAL-SCALE TRIBAL RENEWABLE ENERGY WORKSHOP | Department of

    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: Theof Energy FutureDepartmentCAIRSPlanningLaboratory,|CNG Exports

  8. Property:PotentialUrbanUtilityScalePVGeneration | 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

  9. Sandia Energy - Scaled Wind Farm Technology (SWIFT) Facility Wind Turbine

    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:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757KelleyEffectson the Cover of Advanced

  10. Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices

    DOE Patents [OSTI]

    Chassin, David P. (Pasco, WA); Donnelly, Matthew K. (Kennewick, WA); Dagle, Jeffery E. (Richland, WA)

    2011-12-06T23:59:59.000Z

    Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices are described. In one aspect, an electrical power distribution control method includes providing electrical energy from an electrical power distribution system, applying the electrical energy to a load, providing a plurality of different values for a threshold at a plurality of moments in time and corresponding to an electrical characteristic of the electrical energy, and adjusting an amount of the electrical energy applied to the load responsive to an electrical characteristic of the electrical energy triggering one of the values of the threshold at the respective moment in time.

  11. Advanced Power Electronics Interfaces for Distributed Energy Workshop Summary: August 24, 2006, Sacramento, California

    SciTech Connect (OSTI)

    Treanton, B.; Palomo, J.; Kroposki, B.; Thomas, H.

    2006-10-01T23:59:59.000Z

    The Advanced Power Electronics Interfaces for Distributed Energy Workshop, sponsored by the California Energy Commission Public Interest Energy Research program and organized by the National Renewable Energy Laboratory, was held Aug. 24, 2006, in Sacramento, Calif. The workshop provided a forum for industry stakeholders to share their knowledge and experience about technologies, manufacturing approaches, markets, and issues in power electronics for a range of distributed energy resources. It focused on the development of advanced power electronic interfaces for distributed energy applications and included discussions of modular power electronics, component manufacturing, and power electronic applications.

  12. Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices

    DOE Patents [OSTI]

    Chassin, David P. (Pasco, WA); Donnelly, Matthew K. (Kennewick, WA); Dagle, Jeffery E. (Richland, WA)

    2006-12-12T23:59:59.000Z

    Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices are described. In one aspect, an electrical power distribution control method includes providing electrical energy from an electrical power distribution system, applying the electrical energy to a load, providing a plurality of different values for a threshold at a plurality of moments in time and corresponding to an electrical characteristic of the electrical energy, and adjusting an amount of the electrical energy applied to the load responsive to an electrical characteristic of the electrical energy triggering one of the values of the threshold at the respective moment in time.

  13. Energy Efficiency Potential for Distribution Transformers in the APEC Economies

    E-Print Network [OSTI]

    Letschert, Virginie

    2014-01-01T23:59:59.000Z

    APERC, 2012. APEC Energy Demand and Supply Outlook 5thand, based on the APERC Energy Demand and Supply Outlook (BUENAS calculates final energy demand according to the UEC

  14. Scale Models and Wind Turbines | 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.pdfBreakingMay 2015 <Department ofDepartment| DepartmentScale Models and Wind

  15. Scaling Up Nascent Photovoltaics AT Home | 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.pdfBreakingMay 2015 <Department ofDepartment| DepartmentScale Models and WindLaunch

  16. Are distributed energy technologies a viable alternative for institutional settings? : lessons from MIT Cogeneration Plant

    E-Print Network [OSTI]

    Tapia-Ahumada, Karen de los Angeles

    2005-01-01T23:59:59.000Z

    During the last decades, distributed energy (DE) resources received considerable attention and support because of the confluence of technology development - particularly gas turbines - and deregulation - which would allow ...

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

    E-Print Network [OSTI]

    Stadler, Michael

    2010-01-01T23:59:59.000Z

    The Influence of a CO2 Pricing Scheme on Distributed Energy5. Regional Results for the CO2 Pricing Scheme no-invest

  18. Deployment Barriers to Distributed Wind Energy: Workshop Report -- October 28, 2010

    SciTech Connect (OSTI)

    Not Available

    2011-07-01T23:59:59.000Z

    This report presents key findings from the Department of Energy's Deployment Barriers to Distributed Wind Technology Workshop, held October 28, 2010 in Denver, Colorado.

  19. High Energy Neutrino Astronomy: Towards Kilometer-Scale Detectors

    E-Print Network [OSTI]

    F. Halzen

    2001-03-13T23:59:59.000Z

    Of all high-energy particles, only neutrinos can directly convey astronomical information from the edge of the universe---and from deep inside the most cataclysmic high-energy processes. Copiously produced in high-energy collisions, travelling at the velocity of light, and not deflected by magnetic fields, neutrinos meet the basic requirements for astronomy. Their unique advantage arises from a fundamental property: they are affected only by the weakest of nature's forces (but for gravity) and are therefore essentially unabsorbed as they travel cosmological distances between their origin and us. Many of the outstanding mysteries of astrophysics may be hidden from our sight at all wavelengths of the electromagnetic spectrum because of absorption by matter and radiation between us and the source. For example, the hot dense regions that form the central engines of stars and galaxies are opaque to photons. In other cases, such as supernova remnants, gamma ray bursters, and active galaxies, all of which may involve compact objects or black holes at their cores, the precise origin of the high-energy photons emerging from their surface regions is uncertain. Therefore, data obtained through a variety of observational windows---and especially through direct observations with neutrinos---may be of cardinal importance. In this talk, the scientific goals of high energy neutrino astronomy and the technical aspects of water and ice Cherenkov detectors are examined, and future experimental possibilities, including a kilometer-square deep ice neutrino telescope, are explored.

  20. ITP Distributed Energy: 2008 Combined Heat and Power Baseline...

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

    Legal Notice This report was prepared as a result of work sponsored by the California Energy Commission (Energy Commission) though a U.S. Department of Energy Special Energy...