Sample records for distributed wind policy

  1. Distributed Wind Policy Comparison Tool Guidebook

    SciTech Connect (OSTI)

    Not Available

    2011-11-01T23:59:59.000Z

    Power through Policy: 'Best Practices' for Cost-Effective Distributed Wind is a U.S. Department of Energy (DOE)-funded project to identify distributed wind technology policy best practices and to help policymakers, utilities, advocates, and consumers examine their effectiveness using a pro forma model. Incorporating a customized feed from the Database of State Incentives for Renewables and Efficiency (DSIRE), the Web-based Distributed Wind Policy Comparison Tool (Policy Tool) is designed to assist state, local, and utility officials in understanding the financial impacts of different policy options to help reduce the cost of distributed wind technologies. The Policy Tool can be used to evaluate the ways that a variety of federal and state policies and incentives impact the economics of distributed wind (and subsequently its expected market growth). It also allows policymakers to determine the impact of policy options, addressing market challenges identified in the U.S. DOE's '20% Wind Energy by 2030' report and helping to meet COE targets.

  2. Distributed Wind All-State Policy Summit and Strategies for Manufactur...

    Office of Environmental Management (EM)

    Distributed Wind All-State Policy Summit and Strategies for Manufacturers Advancing Research and Technology Wind Launch Distributed Wind All-State Policy Summit and Strategies for...

  3. Distributed Wind Policy Comparison Tool | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube| DepartmentStatementDepartmentDiggingDistributed Wind Policy Comparison Tool

  4. Final Technical Report Power through Policy: "Best Practices" for Cost-Effective Distributed Wind

    SciTech Connect (OSTI)

    Rhoads-Weaver, Heather; Gagne, Matthew; Sahl, Kurt; Orrell, Alice; Banks, Jennifer

    2012-02-28T23:59:59.000Z

    Power through Policy: 'Best Practices' for Cost-Effective Distributed Wind is a U.S. Department of Energy (DOE)-funded project to identify distributed wind technology policy best practices and to help policymakers, utilities, advocates, and consumers examine their effectiveness using a pro forma model. Incorporating a customized feed from the Database of State Incentives for Renewables and Efficiency (DSIRE), the Web-based Distributed Wind Policy Comparison Tool (Policy Tool) is designed to assist state, local, and utility officials in understanding the financial impacts of different policy options to help reduce the cost of distributed wind technologies. The project's final products include the Distributed Wind Policy Comparison Tool, found at www.windpolicytool.org, and its accompanying documentation: Distributed Wind Policy Comparison Tool Guidebook: User Instructions, Assumptions, and Case Studies. With only two initial user inputs required, the Policy Tool allows users to adjust and test a wide range of policy-related variables through a user-friendly dashboard interface with slider bars. The Policy Tool is populated with a variety of financial variables, including turbine costs, electricity rates, policies, and financial incentives; economic variables including discount and escalation rates; as well as technical variables that impact electricity production, such as turbine power curves and wind speed. The Policy Tool allows users to change many of the variables, including the policies, to gauge the expected impacts that various policy combinations could have on the cost of energy (COE), net present value (NPV), internal rate of return (IRR), and the simple payback of distributed wind projects ranging in size from 2.4 kilowatts (kW) to 100 kW. The project conducted case studies to demonstrate how the Policy Tool can provide insights into 'what if' scenarios and also allow the current status of incentives to be examined or defended when necessary. The ranking of distributed wind state policy and economic environments summarized in the attached report, based on the Policy Tool's default COE results, highlights favorable market opportunities for distributed wind growth as well as market conditions ripe for improvement. Best practices for distributed wind state policies are identified through an evaluation of their effect on improving the bottom line of project investments. The case studies and state rankings were based on incentives, power curves, and turbine pricing as of 2010, and may not match the current results from the Policy Tool. The Policy Tool can be used to evaluate the ways that a variety of federal and state policies and incentives impact the economics of distributed wind (and subsequently its expected market growth). It also allows policymakers to determine the impact of policy options, addressing market challenges identified in the U.S. DOE's '20% Wind Energy by 2030' report and helping to meet COE targets. In providing a simple and easy-to-use policy comparison tool that estimates financial performance, the Policy Tool and guidebook are expected to enhance market expansion by the small wind industry by increasing and refining the understanding of distributed wind costs, policy best practices, and key market opportunities in all 50 states. This comprehensive overview and customized software to quickly calculate and compare policy scenarios represent a fundamental step in allowing policymakers to see how their decisions impact the bottom line for distributed wind consumers, while estimating the relative advantages of different options available in their policy toolboxes. Interested stakeholders have suggested numerous ways to enhance and expand the initial effort to develop an even more user-friendly Policy Tool and guidebook, including the enhancement and expansion of the current tool, and conducting further analysis. The report and the project's Guidebook include further details on possible next steps. NREL Report No. BK-5500-53127; DOE/GO-102011-3453.

  5. 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

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

    Energy Savers [EERE]

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

  7. 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...

  8. Assistance to States on Policies Related to Wind Energy Issues

    SciTech Connect (OSTI)

    Brown, Matthew, H; Decesaro, Jennifer; DOE Project Officer - Keith Bennett

    2005-07-15T23:59:59.000Z

    This final report summarizes work carried out under agreement with the US Department of Energy, related to wind energy policy issues. This project has involved a combination of outreach and publications on wind energy, with a specific focus on educating state-level policymakers. Education of state policymakers is vitally important because state policy (in the form of incentives or regulation) is a crucial part of the success of wind energy. State policymakers wield a significant influence over all of these policies. They are also in need of high quality, non-biased educational resources which this project provided. This project provided outreach to legislatures, in the form of meetings designed specifically for state legislators and legislative staff, responses to information requests on wind energy, and publications. The publications addressed: renewable energy portfolio standards, wind energy transmission, wind energy siting, case studies of wind energy policy, avian issues, economic development, and other related issues. These publications were distributed to legislative energy committee members, and chairs, legislative staff, legislative libraries, and other related state officials. The effect of this effort has been to provide an extensive resource of information about wind information for state policymakers in a form that is useful to them. This non-partisan information has been used as state policymakers attempt to develop their own policy proposals related to wind energy in the states.

  9. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    planning, policies, and programs, wind energy can be a coreof Wind Integration in the Tamil Nadu Grid. Energy PolicyEnergy Technologies Division Reassessing Wind Potential Estimates for India: Economic and Policy

  10. 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.

  11. 2013 Distributed Wind Market Report

    SciTech Connect (OSTI)

    Orrell, Alice C.; Rhoads-Weaver, H. E.; Flowers, Larry T.; Gagne, Matthew N.; Pro, Boyd H.; Foster, Nikolas AF

    2014-08-20T23:59:59.000Z

    The purpose of this report is to quantify and summarize the 2013 U.S. distributed wind market to help plan and guide future investments and decisions by industry stakeholders, utilities, state and federal agencies, and other interested parties.

  12. DISTRIBUTED GENERATION AND COGENERATION POLICY

    E-Print Network [OSTI]

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

  13. Spatial and Temporal Patterns of Global Onshore Wind Speed Distribution

    SciTech Connect (OSTI)

    Zhou, Yuyu; Smith, Steven J.

    2013-09-09T23:59:59.000Z

    Wind power, a renewable energy source, can play an important role in electrical energy generation. Information regarding wind energy potential is important both for energy related modeling and for decision-making in the policy community. While wind speed datasets with high spatial and temporal resolution are often ultimately used for detailed planning, simpler assumptions are often used in analysis work. An accurate representation of the wind speed frequency distribution is needed in order to properly characterize wind energy potential. Using a power density method, this study estimated global variation in wind parameters as fitted to a Weibull density function using NCEP/CFSR reanalysis data. The estimated Weibull distribution performs well in fitting the time series wind speed data at the global level according to R2, root mean square error, and power density error. The spatial, decadal, and seasonal patterns of wind speed distribution were then evaluated. We also analyzed the potential error in wind power estimation when a commonly assumed Rayleigh distribution (Weibull k = 2) is used. We find that the assumption of the same Weibull parameter across large regions can result in substantial errors. While large-scale wind speed data is often presented in the form of average wind speeds, these results highlight the need to also provide information on the wind speed distribution.

  14. Utility Wind Integration Group Distributed Wind/Solar Interconnection Workshop

    Broader source: Energy.gov [DOE]

    This two-day workshop will answer your questions about interconnecting wind and solar plants and other distributed generation applications to electric distribution systems while providing insight...

  15. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    Estimates for India: Economic and Policy Implications AmolEstimates for India: Economic and Policy Implications Amolpolicies, and programs, wind energy can be a core component of India’

  16. DOE 2012 Market Report on U.S. Wind Technologies for Distributed...

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

    the Global Distributed Wind Market (Poster) - Matt Gagne, eFormative Options Using the Wind Policy Tool to Examine Potential Feed-In Tariffs in the United States (Poster) - Matt...

  17. ASYMMETRIC SOLAR WIND ELECTRON DISTRIBUTIONS

    SciTech Connect (OSTI)

    Yoon, Peter H.; Kim, Sunjung; Lee, Junggi; Lee, Junhyun; Park, Jongsun; Park, Kyungsun; Seough, Jungjoon [School of Space Research, Kyung Hee University, Yongin-Si, Gyeonggi-Do 446-701 (Korea, Republic of); Hong, Jinhy [Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon 305-701 (Korea, Republic of)

    2012-08-20T23:59:59.000Z

    The present paper provides a possible explanation for the solar wind electron velocity distribution functions possessing asymmetric energetic tails. By numerically solving the electrostatic weak turbulence equations that involve nonlinear interactions among electrons, Langmuir waves, and ion-sound waves, it is shown that different ratios of ion-to-electron temperatures lead to the generation of varying degrees of asymmetric tails. The present finding may be applicable to observations in the solar wind near 1 AU and in other regions of the heliosphere and interplanetary space.

  18. 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

  19. Fostering a Renewable Energy Technology Industry: An International Comparison of Wind Industry Policy Support Mechanisms

    E-Print Network [OSTI]

    Lewis, Joanna; Wiser, Ryan

    2005-01-01T23:59:59.000Z

    Wind Energy Development in China: Institutional Dynamics and Policyand Candles: Wind Power in China. Energy Policy, 28, 271-wind power development in the United States. Energy Policy.

  20. Distributed Wind Policy Comparison Tool

    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 | DepartmentJanuaryVersion 1.1

  1. 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...

  2. Distributed Wind Diffusion Model Overview (Presentation)

    SciTech Connect (OSTI)

    Preus, R.; Drury, E.; Sigrin, B.; Gleason, M.

    2014-07-01T23:59:59.000Z

    Distributed wind market demand is driven by current and future wind price and performance, along with several non-price market factors like financing terms, retail electricity rates and rate structures, future wind incentives, and others. We developed a new distributed wind technology diffusion model for the contiguous United States that combines hourly wind speed data at 200m resolution with high resolution electricity load data for various consumer segments (e.g., residential, commercial, industrial), electricity rates and rate structures for utility service territories, incentive data, and high resolution tree cover. The model first calculates the economics of distributed wind at high spatial resolution for each market segment, and then uses a Bass diffusion framework to estimate the evolution of market demand over time. The model provides a fundamental new tool for characterizing how distributed wind market potential could be impacted by a range of future conditions, such as electricity price escalations, improvements in wind generator performance and installed cost, and new financing structures. This paper describes model methodology and presents sample results for distributed wind market potential in the contiguous U.S. through 2050.

  3. 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...

  4. DOE Seeking Proposals to Advance Distributed Wind Turbine Technology...

    Office of Environmental Management (EM)

    Seeking Proposals to Advance Distributed Wind Turbine Technology and Manufacturing DOE Seeking Proposals to Advance Distributed Wind Turbine Technology and Manufacturing December...

  5. NREL Releases RFP for Distributed Wind Turbine Competitiveness Improvement Projects

    Broader source: Energy.gov [DOE]

    In support of DOE's efforts to further develop distributed wind technology, NREL's National Wind Technology Center has released a Request for Proposal for the following Distributed Wind Turbine Competitiveness Improvement Projects on the Federal Business

  6. Introduction to the Wind Energy Science, Engineering, and Policy (WESEP)

    E-Print Network [OSTI]

    McCalley, James D.

    Introduction to the Wind Energy Science, Engineering, and Policy (WESEP) Real-Time Research Seminar concepts of "Advanced Wind Energy Concepts." Will use a text plus... · Each student takes 2-3 lectures. · I acceptable evidence that a problem is indeed solved? · What organizational structures and modes of human

  7. Distributed Array of GPS Receivers for 3D Wind Profile Determination in Wind Farms

    E-Print Network [OSTI]

    Gao, Grace Xingxin

    Distributed Array of GPS Receivers for 3D Wind Profile Determination in Wind Farms Derek Chen, and inexpensively is critical for both optimizing the installation of wind turbines on a wind farm, and predicting. Finally, the system is tested on a local wind farm. It has been shown that GPS provides a viable method

  8. Lognormal distributions and spectra of solar wind plasma fluctuations: Wind 19951998

    E-Print Network [OSTI]

    Richardson, John

    Lognormal distributions and spectra of solar wind plasma fluctuations: Wind 1995­1998 L. F. Burlaga, and T were double-peaked; nevertheless, the number of observations associated with the fast wind distribution with large tails. There remains a need for dynamical models of the solar wind that incorporate and describe

  9. 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...

  10. 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...

  11. WINDExchange Webinar: Small and Distributed Wind Turbine Update...

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

    Webinar: Small and Distributed Wind Turbine Update WINDExchange Webinar: Small and Distributed Wind Turbine Update December 17, 2014 3:00PM to 5:00PM EST Add to calendar Save the...

  12. Wind Power Forecasting Error Distributions over Multiple Timescales (Presentation)

    SciTech Connect (OSTI)

    Hodge, B. M.; Milligan, M.

    2011-07-01T23:59:59.000Z

    This presentation presents some statistical analysis of wind power forecast errors and error distributions, with examples using ERCOT data.

  13. Is the Weibull distribution really suited for wind statistics modeling and wind power evaluation?

    E-Print Network [OSTI]

    Drobinski, Philippe

    2012-01-01T23:59:59.000Z

    Wind speed statistics is generally modeled using the Weibull distribution. This distribution is convenient since it fully characterizes analytically with only two parameters (the shape and scale parameters) the shape of distribution and the different moments of the wind speed (mean, standard deviation, skewness and kurtosis). This distribution is broadly used in the wind energy sector to produce maps of wind energy potential. However, the Weibull distribution is based on empirical rather than physical justification and might display strong limitations for its applications. The philosophy of this article is based on the modeling of the wind components instead of the wind speed itself. This provides more physical insights on the validity domain of the Weibull distribution as a possible relevant model for wind statistics and the quantification of the error made by using such a distribution. We thereby propose alternative expressions of more suited wind speed distribution.

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

    SciTech Connect (OSTI)

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

    2010-05-01T23:59:59.000Z

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

  15. Probability distributions of land surface wind speeds over North America

    E-Print Network [OSTI]

    Dai, Aiguo

    . Jones, A. Dai, S. Biner, D. Caya, and K. Winger (2010), Probability distributions of land surface wind distribution used for estimation of wind climate and annual winProbability distributions of land surface wind speeds over North America Yanping He,1 Adam Hugh

  16. Impact of Increasing Distributed Wind Power and Wind Turbine Siting on Rural Distribution Feeder Voltage Profiles: Preprint

    SciTech Connect (OSTI)

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

    2013-09-01T23:59:59.000Z

    Many favorable wind energy resources in North America are located in remote locations without direct access to the transmission grid. Building transmission lines to connect remotely-located wind power plants to large load centers has become a barrier to increasing wind power penetration in North America. By connecting utility-sized megawatt-scale wind turbines to the distribution system, wind power supplied to consumers could be increased greatly. However, the impact of including megawatt-scale wind turbines on distribution feeders needs to be studied. The work presented here examined the impact that siting and power output of megawatt-scale wind turbines have on distribution feeder voltage. This is the start of work to present a general guide to megawatt-scale wind turbine impact on the distribution feeder and finding the amount of wind power that can be added without adversely impacting the distribution feeder operation, reliability, and power quality.

  17. Optimal Storage Policies with Wind Forecast Uncertainties [Extended Abstract

    E-Print Network [OSTI]

    Dalang, Robert C.

    Optimal Storage Policies with Wind Forecast Uncertainties [Extended Abstract] Nicolas Gast EPFL, IC generation. The use of energy storage compensates to some extent these negative effects; it plays a buffer role between demand and production. We revisit a model of real storage proposed by Bejan et al.[1]. We

  18. Proposed Academic Doctoral Degree Genesis PhD -Wind Energy Science, Engineering and Policy (WESEP)

    E-Print Network [OSTI]

    McCalley, James D.

    1 Proposed Academic Doctoral Degree Genesis PhD - Wind Energy Science, Engineering and Policy Executive summary: Iowa is second in the nation in wind energy production and is the leading state in terms of jobs related to wind energy. The proposed Ph.D. program in Wind Energy Science, Engineering and Policy

  19. ASYMMETRIC ELECTRON DISTRIBUTIONS IN THE SOLAR WIND

    SciTech Connect (OSTI)

    Rha, Kicheol; Ryu, Chang-Mo [Department of Physics, Pohang University of Science and Technology, Pohang 790-784 (Korea, Republic of)] [Department of Physics, Pohang University of Science and Technology, Pohang 790-784 (Korea, Republic of); Yoon, Peter H. [Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742 (United States)] [Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742 (United States)

    2013-09-20T23:59:59.000Z

    A plausible mechanism responsible for producing asymmetric electron velocity distribution functions in the solar wind is investigated by means of one-dimensional electrostatic particle-in-cell (PIC) simulation. A recent paper suggests that the variation in the ion-to-electron temperature ratio influences the nonlinear wave-particle dynamics such that it results in the formation of asymmetric distributions. The present PIC code simulation largely confirms this finding, but quantitative differences between the weak turbulence formalism and the present PIC simulation are also found, suggesting the limitation of the analytical method. The inter-relationship between the asymmetric electron distribution and the ion-to-electron temperature ratio may be a new useful concept for the observation.

  20. Northwest Distributed/Community Wind Workgroup Meeting- Seattle

    Broader source: Energy.gov [DOE]

    As part of the DOE's Northwest Wind Resource and Action Center, Northwest SEED will facilitate a workgroup meeting for stakeholders involved in the distributed and community wind sector in the...

  1. 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

  2. WINDExchange Webinar: Small and Distributed Wind Turbine Update

    Office of Energy Efficiency and Renewable Energy (EERE)

    Save the date for this free webinar presenting an overview of recent news and updates pertaining to small and distributed wind turbines.

  3. A New Method to Find the Fractional Slot Windings Structures from a Distributed Slot Windings

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    a distributed slot permanent magnet synchronous machine (PMSM). It's a machine characterized by a distributed windings stator and a surface mounted PM rotor. First, a basic PMSM called "classical" has been studied performances assembled during the functional cycle of vehicle. Index Terms-- PMSM, distributed windings

  4. Offshore Wind Power: Science, engineering, and policy MAST 628-010, Fall 2008

    E-Print Network [OSTI]

    Firestone, Jeremy

    Offshore Wind Power: Science, engineering, and policy MAST 628-010, Fall 2008 Revised 10 October@udel.edu Class web site with lecture notes: www.udel.edu/sakai UD offshore wind research: http, plan, regulate, and develop offshore wind resources for large-scale power production. Offshore wind

  5. 2012 Market Report on U.S. Wind Technologies in Distributed Applications

    SciTech Connect (OSTI)

    Orrell, Alice C.; Flowers, L. T.; Gagne, M. N.; Pro, B. H.; Rhoads-Weaver, H. E.; Jenkins, J. O.; Sahl, K. M.; Baranowski, R. E.

    2013-08-06T23:59:59.000Z

    At the end of 2012, U.S. wind turbines in distributed applications reached a 10-year cumulative installed capacity of more than 812 MW from more than 69,000 units across all 50 states. In 2012 alone, nearly 3,800 wind turbines totaling 175 MW of distributed wind capacity were documented in 40 states and in the U.S. Virgin Islands, with 138 MW using utility-scale turbines (i.e., greater than 1 MW in size), 19 MW using mid-size turbines (i.e., 101 kW to 1 MW in size), and 18.4 MW using small turbines (i.e., up to 100 kW in size). Distributed wind is defined in terms of technology application based on a wind project’s location relative to end-use and power-distribution infrastructure, rather than on technology size or project size. Distributed wind systems are either connected on the customer side of the meter (to meet the onsite load) or directly to distribution or micro grids (to support grid operations or offset large loads nearby). Estimated capacity-weighted average costs for 2012 U.S. distributed wind installations was $2,540/kW for utility-scale wind turbines, $2,810/kW for mid-sized wind turbines, and $6,960/kW for newly manufactured (domestic and imported) small wind turbines. An emerging trend observed in 2012 was an increased use of refurbished turbines. The estimated capacity-weighted average cost of refurbished small wind turbines installed in 2012 was $4,080/kW. As a result of multiple projects using utility-scale turbines, Iowa deployed the most new overall distributed wind capacity, 37 MW, in 2012. Nevada deployed the most small wind capacity in 2012, with nearly 8 MW of small wind turbines installed in distributed applications. In the case of mid-size turbines, Ohio led all states in 2012 with 4.9 MW installed in distributed applications. State and federal policies and incentives continued to play a substantial role in the development of distributed wind projects. In 2012, U.S. Treasury Section 1603 payments and grants and loans from the U.S. Department of Agriculture’s Rural Energy for America Program were the main sources of federal funding for distributed wind projects. State and local funding varied across the country, from rebates to loans, tax credits, and other incentives. Reducing utility bills and hedging against potentially rising electricity rates remain drivers of distributed wind installations. In 2012, other drivers included taking advantage of the expiring U.S. Treasury Section 1603 program and a prosperous year for farmers. While 2012 saw a large addition of distributed wind capacity, considerable barriers and challenges remain, such as a weak domestic economy, inconsistent state incentives, and very competitive solar photovoltaic and natural gas prices. The industry remains committed to improving the distributed wind marketplace by advancing the third-party certification process and introducing alternative financing models, such as third-party power purchase agreements and lease-to-own agreements more typical in the solar photovoltaic market. Continued growth is expected in 2013.

  6. 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...

  7. 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.

  8. Fostering a Renewable Energy Technology Industry: An International Comparison of Wind Industry Policy Support Mechanisms

    E-Print Network [OSTI]

    Lewis, Joanna; Wiser, Ryan

    2005-01-01T23:59:59.000Z

    Policy and Renewable Energy Technology. Proceedings of theDiffusion of Renewable Energy Technologies: Wind Power inFostering a Renewable Energy Technology Industry: An

  9. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    the need to reassess wind potential estimates in India andDivision Reassessing Wind Potential Estimates for India:July 2011 Reassessing Wind Potential Estimates for India:

  10. 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.

  11. 1 Energy Markets and Policy Group Energy Analysis Department The Impact of Wind Power Projects

    E-Print Network [OSTI]

    Firestone, Jeremy

    1 Energy Markets and Policy Group · Energy Analysis Department The Impact of Wind Power Projects) This analysis was funded by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Wind & Hydropower Technologies Program #12;2 Energy Markets and Policy Group · Energy Analysis

  12. Wind Power Forecasting Error Distributions: An International Comparison; Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Lew, D.; Milligan, M.; Holttinen, H.; Sillanpaa, S.; Gomez-Lazaro, E.; Scharff, R.; Soder, L.; Larsen, X. G.; Giebel, G.; Flynn, D.; Dobschinski, J.

    2012-09-01T23:59:59.000Z

    Wind power forecasting is expected to be an important enabler for greater penetration of wind power into electricity systems. Because no wind forecasting system is perfect, a thorough understanding of the errors that do occur can be critical to system operation functions, such as the setting of operating reserve levels. This paper provides an international comparison of the distribution of wind power forecasting errors from operational systems, based on real forecast data. The paper concludes with an assessment of similarities and differences between the errors observed in different locations.

  13. Wind Turbine Shutdowns and Upgrades in Denmark: Timing Decisions and the Impact of Government Policy

    E-Print Network [OSTI]

    Lin, C.-Y. Cynthia

    Wind Turbine Shutdowns and Upgrades in Denmark: Timing Decisions and the Impact of Government structural econometric model of wind turbine owners' decisions about whether and when to add new turbines the underlying profit structure for wind producers and evaluate the impact of technology and government policy

  14. Energy Policy 36 (2008) 2333 Change in public attitudes towards a Cornish wind farm

    E-Print Network [OSTI]

    2008-01-01T23:59:59.000Z

    Energy Policy 36 (2008) 23­33 Viewpoint Change in public attitudes towards a Cornish wind farm to particular wind farm developments from the local population which can result in planning permission being to a wind farm change after an extended period following commissioning. Residents of St. Newlyn East

  15. ECE 457 Dawson Fall 2010 Course Syllabus & Policies Fundamentals of Wind Power

    E-Print Network [OSTI]

    Bolding, M. Chad

    ECE 457 ­Dawson Fall 2010 Course Syllabus & Policies ­ Fundamentals of Wind Power Course: ECE 457 - Fundamentals of Wind Power, 3(3,0) Time: TBA, Room: TBA Instructor: Dr. D. Dawson, Professor of Electrical: 978-3-540-24240-6). J. Wagner and D. Dawson, Fundamentals of Wind Power, Course Notes, 2010 References

  16. A Review of "Small-Scale Wind Turbines Policy Perspectives and

    E-Print Network [OSTI]

    Hughes, Larry

    ERG/200607 A Review of "Small-Scale Wind Turbines ­ Policy Perspectives and Recommendations of Engineering Mathematics at Dalhousie University. #12;Hughes-Long: A Review of Small-Scale Wind Turbines proposed changes to their municipal Bylaws to allow the installation of "small-scale" wind turbines (i

  17. Energy Policy 35 (2007) 15841598 Public opinion about large offshore wind power: Underlying factors

    E-Print Network [OSTI]

    Firestone, Jeremy

    2007-01-01T23:59:59.000Z

    Energy Policy 35 (2007) 1584­1598 Public opinion about large offshore wind power: Underlying opinion regarding offshore wind power based on a survey of residents near a proposed development off Cape, the first offshore wind proposal in North America, in Nantucket Sound (MA, USA) has generated a strong

  18. MAST628 Syllabus-8/12/2014 p. 1 Offshore Wind Power: Science, engineering, and policy

    E-Print Network [OSTI]

    Delaware, University of

    MAST628 Syllabus- 8/12/2014 p. 1 Offshore Wind Power: Science, engineering, and policy MAST 628-4842, dveron@udel.edu, Robinson 114B Class web site with lecture notes: www.udel.edu/sakai UD offshore wind the multiple disciplines required to understand, plan, regulate, and develop offshore wind resources for large

  19. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    this study, wind energy potential for turbines at 80m, 100m,wind energy potential due to better technology in the form of higher efficiency, hub heights, and sizes of wind turbines.wind energy potential is higher than currently believed. Those aspects are 1) the rapidly improving wind turbine

  20. Wind pressure distribution on shell structures 

    E-Print Network [OSTI]

    Yancey, Kenneth Earl, Jr

    1963-01-01T23:59:59.000Z

    One of the most important loads that an architect or engineer is concerned with in the structural design of buildings is wind pressure, and it is one of the most difficult structural loads to estimate. The necessity of making a close estimate...

  1. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    Report of Wind Energy Resource Assessment in China. Chinaindependent 3 party wind resource assessment of at least awind_june07.pdf for Wind Resource Assessment and mapping for

  2. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    3.1 Coincidence of Wind Generation with Seasonal Load Shapes3.2 Coincidence of Wind Generation with Diurnal Load Shapessites for an actual wind generation facility or predict its

  3. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    of variability of wind generation and costs related toLaxson (2006). Wind Turbine Design Cost and Scaling Model.MW installed worldwide. 6 Wind energy costs in India are

  4. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    G. Sinden, A. Zervos, (2011): Wind Energy. In IPCC SpecialM. Hand, and A. Laxson (2006). Wind Turbine Design Cost and2009). Analysis of Impacts of Wind Integration in the Tamil

  5. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    Assessment of Potential for Wind Farms in India, RenewableNetworks for Offshore Wind Farms, Bremen, Germany, 14-15Assessment of Potential for Wind Farms in India, Renewable

  6. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    MW installed worldwide. 6 Wind energy costs in India areWe estimate the cost of wind energy and compare it with

  7. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    Unleashing the Potential of Renewable Energy in India.of Potential for Wind Farms in India, Renewable Energy (of Potential for Wind Farms in India, Renewable Energy (

  8. Probability distributions for offshore wind speeds Eugene C. Morgan a,*, Matthew Lackner b

    E-Print Network [OSTI]

    Vogel, Richard M.

    Probability distributions for offshore wind speeds Eugene C. Morgan a,*, Matthew Lackner b Wind turbine energy output Weibull distribution Extreme wind a b s t r a c t In planning offshore wind farms, short-term wind speeds play a central role in estimating various engi- neering parameters

  9. Wind pressure distribution on shell structures

    E-Print Network [OSTI]

    Yancey, Kenneth Earl, Jr

    1963-01-01T23:59:59.000Z

    of calculating wind pressures on buildings is illustrated in the following example: it is desired to find the velocity pressure 35 feet above the ground at Corpus Christi, Texas. The following is known: Anemometer height 42 feet Desired lifetime of structure... at the height of the anemometer, 42 feet, proceed vertically to 98 miles per hour; then 100 90 80 70 60 o 50 ~c 40 g 30 20 40 35 30 25 e 20 3 15 -' o + 10 e 0 9 0 0) 0 z C + 0 0 ) o' 10 20 30 40 50 100 200 300 400 500 Height in Feet...

  10. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    policy support for other renewable energy sources, wind mayrenewable energy and climate policy initiatives. With wind

  11. Comparison of Wind Power and Load Forecasting Error Distributions: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Florita, A.; Orwig, K.; Lew, D.; Milligan, M.

    2012-07-01T23:59:59.000Z

    The introduction of large amounts of variable and uncertain power sources, such as wind power, into the electricity grid presents a number of challenges for system operations. One issue involves the uncertainty associated with scheduling power that wind will supply in future timeframes. However, this is not an entirely new challenge; load is also variable and uncertain, and is strongly influenced by weather patterns. In this work we make a comparison between the day-ahead forecasting errors encountered in wind power forecasting and load forecasting. The study examines the distribution of errors from operational forecasting systems in two different Independent System Operator (ISO) regions for both wind power and load forecasts at the day-ahead timeframe. The day-ahead timescale is critical in power system operations because it serves the unit commitment function for slow-starting conventional generators.

  12. 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

  13. 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

  14. DOE Announces Webinars on the Distributed Wind Power Market, Lighting

    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, OAPM | DepartmentIOffshore Wind EconomicStudent

  15. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    SciTech Connect (OSTI)

    Phadke, Amol; Bharvirkar, Ranjit; Khangura, Jagmeet

    2011-09-15T23:59:59.000Z

    We assess developable on-shore wind potential in India at three different hub-heights and under two sensitivity scenarios – one with no farmland included, the other with all farmland included. Under the “no farmland included” case, the total wind potential in India ranges from 748 GW at 80m hub-height to 976 GW at 120m hub-height. Under the “all farmland included” case, the potential with a minimum capacity factor of 20 percent ranges from 984 GW to 1,549 GW. High quality wind energy sites, at 80m hub-height with a minimum capacity factor of 25 percent, have a potential between 253 GW (no farmland included) and 306 GW (all farmland included). Our estimates are more than 15 times the current official estimate of wind energy potential in India (estimated at 50m hub height) and are about one tenth of the official estimate of the wind energy potential in the US.

  16. Policy Building Blocks: Helping Policymakers Determine Policy Staging for the Development of Distributed PV Markets: Preprint

    SciTech Connect (OSTI)

    Doris, E.

    2012-04-01T23:59:59.000Z

    There is a growing body of qualitative and a limited body of quantitative literature supporting the common assertion that policy drives development of clean energy resources. Recent work in this area indicates that the impact of policy depends on policy type, length of time in place, and economic and social contexts of implementation. This work aims to inform policymakers about the impact of different policy types and to assist in the staging of those policies to maximize individual policy effectiveness and development of the market. To do so, this paper provides a framework for policy development to support the market for distributed photovoltaic systems. Next steps include mathematical validation of the framework and development of specific policy pathways given state economic and resource contexts.

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

    SciTech Connect (OSTI)

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

    2007-06-01T23:59:59.000Z

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

  18. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    times the current installed capacity) will be about 40,000largest portion of RE installed capacity in the world, withleads all states in installed wind capacity – would yield a

  19. Distributed Compression for Condition Monitoring of Wind Farms

    E-Print Network [OSTI]

    Cheng, Samuel

    wind generation is high due to high wind speeds and import of power where the speeds are low. To make

  20. Policies and market factors driving wind power development in the United States

    SciTech Connect (OSTI)

    Bird, Lori; Parsons, Brian; Gagliano, Troy; Brown, Matthew; Wiser, Ryan; Bolinger, Mark

    2003-07-30T23:59:59.000Z

    In the United States, there has been substantial recent growth in wind energy generating capacity, with growth averaging 24 percent annually during the past five years. About 1,700 MW of wind energy capacity was installed in 2001, while another 410 MW became operational in 2002. This year (2003) shows promise of significant growth with more than 1,100 MW planned. With this growth, an increasing number of states are experiencing investment in wind energy projects. Wind installations currently exist in about half of all U.S. states. This paper explores the key factors at play in the states in which a substantial amount of wind energy capacity has been developed or planned. Some of the factors that are examined include policy drivers, such as renewable portfolio standards (RPS), federal and state financial incentives, and integrated resource planning; as well as market drivers, such as consumer demand for green power, natural gas price volatility, and wholesale market rules.

  1. A Predictive Maintenance Policy Based on the Blade of Offshore Wind Wenjin Zhu, Troyes University of Technology

    E-Print Network [OSTI]

    McCalley, James D.

    A Predictive Maintenance Policy Based on the Blade of Offshore Wind Turbine Wenjin Zhu, Troyes onshore to offshore locations [1]. As offshore wind turbines are located at remote sites withlimited]. Operation and maintenance (O&M) costs of off-shore wind turbines contribute about 25-30% to the total energy

  2. Robustness of Effective Server Assignment Policies to Service Time Distributions

    E-Print Network [OSTI]

    Ayhan, Hayriye

    Robustness of Effective Server Assignment Policies to Service Time Distributions H. Eser Kirkizlar@isye.gatech.edu 607-777-2106, 404-894-3933, 404-894-2308 Abstract We study the assignment of flexible servers that the effective assignment of flexible servers is robust to the service time distributions. We provide analytical

  3. Using Solar Business Models to Expand the Distributed Wind Market (Presentation)

    SciTech Connect (OSTI)

    Savage, S.

    2013-05-01T23:59:59.000Z

    This presentation to attendees at Wind Powering America's All-States Summit in Chicago describes business models that were responsible for rapid growth in the solar industry and that may be applicable to the distributed wind industry as well.

  4. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    The wind energy integration, transmission, and policy2012, however, federal policy towards wind energy remainsin federal policy towards wind energy after 2012 places such

  5. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    The wind energy integration, transmission, and policyPTC. Moreover, federal policy towards wind energy remainsand policy announcements demonstrate accelerated activity in the offshore wind energy

  6. Review of wind power tariff policies in China Zheng Hu a,n

    E-Print Network [OSTI]

    Delaware, University of

    the share of renewable energy (i.e., make the transition from thermal power to clean energy). For instance Kurdgelashvili a a Centre for Energy and Environmental Policy, 278 Graham Hall, University of Delaware, Newark. Incentives are in place for German and Danish offshore wind power, while China will have to remove

  7. Solar wind driven dust acoustic instability with Lorentzian kappa distribution

    SciTech Connect (OSTI)

    Arshad, Kashif [National Center for Physics (NCP), Quaid-i-Azam University Campus, Shahdra Valley Road, Islamabad 44000 (Pakistan) [National Center for Physics (NCP), Quaid-i-Azam University Campus, Shahdra Valley Road, Islamabad 44000 (Pakistan); Pakistan Institute of Engineering and Applied Sciences, P.O. Nilore, Islamabad and University of Wah, Wah Cantt 47040 (Pakistan); Ehsan, Zahida, E-mail: Ehsan.zahida@gmail.com [National Center for Physics (NCP), Quaid-i-Azam University Campus, Shahdra Valley Road, Islamabad 44000 (Pakistan) [National Center for Physics (NCP), Quaid-i-Azam University Campus, Shahdra Valley Road, Islamabad 44000 (Pakistan); Universita degli Studi del Molise, 86090 Pesche - IS (Italy); INFN Sezione di Napoli, 80126 Napoli (Italy); Department of Physics, COMSATS Institute of Information Technology (CIIT), Defence Road, Off Raiwind Road, Lahore 86090 (Pakistan); Khan, S. A. [National Center for Physics (NCP), Quaid-i-Azam University Campus, Shahdra Valley Road, Islamabad 44000 (Pakistan)] [National Center for Physics (NCP), Quaid-i-Azam University Campus, Shahdra Valley Road, Islamabad 44000 (Pakistan); Mahmood, S. [Theoretical Plasma Physics Division, PINSTEC, PO Box Nilore, Islamabad 44000 (Pakistan)] [Theoretical Plasma Physics Division, PINSTEC, PO Box Nilore, Islamabad 44000 (Pakistan)

    2014-02-15T23:59:59.000Z

    In a three species electron-ion-dust plasma following a generalized non-Maxwellian distribution function (Lorentzian or kappa), it is shown that a kinetic instability of dust-acoustic mode exists. The instability threshold is affected when such (quasineutral) plasma permeates through another static plasma. Such case is of interest when the solar wind is streaming through the cometary plasma in the presence of interstellar dust. In the limits of phase velocity of the waves larger and smaller than the thermal velocity of dust particles, the dispersion properties and growth rate of dust-acoustic mode are investigated analytically with validation via numerical analysis.

  8. UNIVERSITY OF CALIFORNIA, Surface Wind Speed Distributions: Implications for Climate and Wind Power

    E-Print Network [OSTI]

    Zender, Charles

    and Wind Power DISSERTATION submitted in partial satisfaction of the requirements for the degree of DOCTOR . . . . . . . . . . . . . . . . . 19 1.3 Global Ocean Wind Power and Surface Layer Stability . . . . . . . . 23 1.3.1 Global Winds . . . . . . 27 1.4 Usable Offshore Wind Power . . . . . . . . . . . . . . . . . . . . . . . 31 1.4.1 Wind Turbine

  9. Solar/Wind Access Policy | 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-f < RAPID‎ |RippeyInformationSodaAtlassourceResourceSolar/Wind

  10. 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.

  11. Overcoming Technical and Market Barriers for Distributed Wind Applications: Reaching the Mainstream; Preprint

    SciTech Connect (OSTI)

    Rhoads-Weaver, H.; Forsyth, T.

    2006-07-01T23:59:59.000Z

    This paper describes how the distributed wind industry must overcome hurdles including system costs and interconnection and installation restrictions to reach its mainstream market potential.

  12. Strategic Sequencing for State Distributed PV Policies: A Quantitative Analysis of Policy Impacts and Interactions

    SciTech Connect (OSTI)

    Doris, E.; Krasko, V.A.

    2012-10-01T23:59:59.000Z

    State and local policymakers show increasing interest in spurring the development of customer-sited distributed generation (DG), in particular solar photovoltaic (PV) markets. Prompted by that interest, this analysis examines the use of state policy as a tool to support the development of a robust private investment market. This analysis builds on previous studies that focus on government subsidies to reduce installation costs of individual projects and provides an evaluation of the impacts of policies on stimulating private market development.

  13. Impact of High Wind Penetration on the Voltage Profile of Distribution Systems

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    of wind generator the voltage of the system may become lower than acceptable voltage level due and wind generator is presented. Simulation results are given in Section III which shows the impact of high--In this paper, simulation results showing the effect of lower and higher penetration of distributed wind

  14. Validity of Wind Load Distribution based on High Frequency Force Balance Measurements

    E-Print Network [OSTI]

    Chen, Xinzhong

    Validity of Wind Load Distribution based on High Frequency Force Balance Measurements Xinzhong Chen such a modal analysis procedure for background and resonant response, estimation of the generalized wind force is the critical element for response prediction. The generalized wind force can be characterized through

  15. Observed and CAM3 GCM Sea Surface Wind Speed Distributions: Characterization, Comparison, and Bias Reduction

    E-Print Network [OSTI]

    Zender, Charles

    resources force the use of coarse-resolution GCMs, which do not resolve finer-scale wind speed fluctuationsObserved and CAM3 GCM Sea Surface Wind Speed Distributions: Characterization, Comparison, and Bias (Manuscript received 10 December 2007, in final form 8 April 2008) ABSTRACT Climatological surface wind speed

  16. Distribution of Wind Power Forecasting Errors from Operational Systems (Presentation)

    SciTech Connect (OSTI)

    Hodge, B. M.; Ela, E.; Milligan, M.

    2011-10-01T23:59:59.000Z

    This presentation offers new data and statistical analysis of wind power forecasting errors in operational systems.

  17. 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

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

    E-Print Network [OSTI]

    Pota, Himanshu Roy

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

  19. Proceedings of the 4th International Workshop on Policies for Distributed Systems and Networks (POLICY'03) 0-7695-1933-4/03 $17.00 2003 IEEE

    E-Print Network [OSTI]

    Perry, Mark

    Proceedings of the 4th International Workshop on Policies for Distributed Systems and Networks on Policies for Distributed Systems and Networks (POLICY'03) 0-7695-1933-4/03 $17.00 © 2003 IEEE #12;Proceedings of the 4th International Workshop on Policies for Distributed Systems and Networks (POLICY'03) 0

  20. Evaluating state markets for residential wind systems: Results from an economic and policy analysis tool

    SciTech Connect (OSTI)

    Edwards, Jennifer L.; Wiser, Ryan; Bolinger, Mark; Forsyth, Trudy

    2004-12-01T23:59:59.000Z

    The market for small wind systems in the United States, often defined as systems less than or equal to 100 kW that produce power on the customer side of the meter, is small but growing steadily. The installed capacity of domestic small wind systems in 2002 was reportedly 15-18 MW, though the market is estimated to be growing by as much as 40 percent annually (AWEA, 2002). This growth is driven in part by recent technology advancements and cost improvements and, perhaps more importantly, by favorable policy incentives targeted at small wind systems that are offered in several states. Currently, over half of all states have incentive policies for which residential small wind installations are eligible. These incentives range from low-interest loan programs and various forms of tax advantages to cash rebates that cover as much as 60 percent of the total system cost for turbines 10 kW or smaller installed in residential applications. Most of these incentives were developed to support a ran ge of emerging renewable technologies (most notably photovoltaic systems), and were therefore not specifically designed with small wind systems in mind. As such, the question remains as to which incentive types provide the greatest benefit to small wind systems, and how states might appropriately set the level and type of incentives in the future. Furthermore, given differences in incentive types and levels across states, as well as variations in retail electricity rates and other relevant factors, it is not immediately obvious which states offer the most promising markets for small wind turbine manufacturers and installers, as well as potential residential system owners. This paper presents results from a Berkeley Lab analysis of the impact of existing and proposed state and federal incentives on the economics of grid-connected, residential small wind systems. Berkeley Lab has designed the Small Wind Analysis Tool (SWAT) to compare system economics under current incentive structures a cross all 50 states. SWAT reports three metrics to characterize residential wind economics in each state and wind resource class: (1) Break-Even Turnkey Cost (BTC): The BTC is defined as the aggregate installed system cost that would balance total customer payments and revenue over the life of the system, allowing the customer to ''break-even'' while earning a specified rate of return on the small wind ''investment.'' (2) Simple Payback (SP): The SP is the number of years it takes a customer to recoup a cash payment for a wind system and all associated costs, assuming zero discount on future revenue and payments (i.e., ignoring the time value of money). (3) Levelized Cost of Energy (LCOE): The LCOE is the levelized cost of generating a kWh of electricity over the lifetime of the system, and is calculated assuming a cash purchase for the small wind system and a 5.5 percent real discount rate. This paper presents SWAT results for a 10 kW wind turbine and turbine power production is based on a Bergey Excel system. These results are not directly applicable to turbines with different power curves and rated outputs, especially given the fact that many state incentives are set as a fixed dollar amount, and the dollar per Watt amount will vary based on the total rated turbine capacity.

  1. Distributed Wind Policy Comparison Tool | 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

  2. Fostering a Renewable Energy Technology Industry: An International Comparison of Wind Industry Policy Support Mechanisms

    E-Print Network [OSTI]

    Lewis, Joanna; Wiser, Ryan

    2005-01-01T23:59:59.000Z

    and Renewable Energy, Wind & Hydropower Technologiesand Renewable Energy, Wind & Hydropower Technologies2004. International Wind Energy Development, World Market

  3. Wind Power: How Much, How Soon, and At What Cost?

    E-Print Network [OSTI]

    Wiser, Ryan H

    2010-01-01T23:59:59.000Z

    2007. "Learning from Wind Energy Policy in the EU: Lessonsof Wind Industry Policy Support Mechanisms." Energy Policy,Earth Policy Institute, BTM Consult, American Wind Energy

  4. State Electricity Regulatory Policy and Distributed Resources: Accommodating Distributed Resources in Wholesale Markets

    SciTech Connect (OSTI)

    Weston, F.; Harrington, C.; Moskovitz, D.; Shirley, W.; Cowart, R.; Sedano, R.

    2002-10-01T23:59:59.000Z

    Distributed resources can provide cost-effective reliability and energy services - in many cases, obviating the need for more expensive investments in wires and central station electricity generating facilities. Given the unique features of distributed resources, the challenge facing policymakers today is how to restructure wholesale markets for electricity and related services so as to reveal the full value that distributed resources can provide to the electric power system (utility grid). This report looks at the functions that distributed resources can perform and examines the barriers to them. It then identifies a series of policy and operational approaches to promoting DR in wholesale markets. This report is one in the State Electricity Regulatory Policy and Distributed Resources series developed under contract to NREL (see Annual Technical Status Report of the Regulatory Assistance Project: September 2000-September 2001, NREL/SR-560-32733). Other titles in this series are: (1) Distributed Resource Distribution Credit Pilot Programs - Revealing the Value to Consumers and Vendors, NREL/SR-560-32499; (2) Distributed Resources and Electric System Reliability, NREL/SR-560-32498; (3) Distribution System Cost Methodologies for Distributed Generation, NREL/SR-560-32500; (4) Distribution System Cost Methodologies for Distributed Generation Appendices, NREL/SR-560-32501

  5. 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).

  6. Community Wind: Once Again Pushing the Envelope of Project Finance

    E-Print Network [OSTI]

    bolinger, Mark A.

    2011-01-01T23:59:59.000Z

    Wind Power Projects in the United States. ” Energy Policy.Wind Energy Association (AWEA). 2010. Community Wind Policy

  7. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    performance, and price of wind energy, policy uncertainty –The wind energy integration, transmission, and policyand absent supportive policies for wind energy. That said,

  8. Fault Detection and Load Distribution for the Wind Farm Challenge

    SciTech Connect (OSTI)

    Borchehrsen, Anders B.; Larsen, Jesper A.; Stoustrup, Jakob

    2014-08-24T23:59:59.000Z

    In this paper a fault detection system and a fault tolerant controller for a wind farm model. The wind farm model used is the one proposed as a public challenge. In the model three types of faults are introduced to a wind farm consisting of nine turbines. A fault detection system designed, by taking advantage of the fact that within a wind farm several wind turbines will be operating under all most identical conditions. The turbines are then grouped, and then turbines within each group are used to generate residuals for turbines in the group. The generated residuals are then evaluated using dynamical cumulative sum. The designed fault detection system is cable of detecting all three fault types occurring in the model. But there is room for improving the fault detection in some areas. To take advantage of the fault detection system a fault tolerant controller for the wind farm has been designed. The fault tolerant controller is a dispatch controller which is estimating the possible power at each individual turbine and then setting the reference accordingly. The fault tolerant controller has been compared to a reference controller. And the comparison shows that the fault tolerant controller performance better in all measures. The fault detection and a fault tolerant controller has been designed, and based on the simulated results the overall performance of the wind farm is improved on all measures. Thereby this is a step towards improving the overall performance of current and future wind farms.

  9. Embedding Security Policies into a Distributed Computing Environment

    E-Print Network [OSTI]

    Kühnhauser, Winfried

    : security policy, multipolicy system, information domain, policy domain, custodian, policy sep- arationD information systems must support information processing under multiple security policies of any complexity information support information processing among users with di erent security attributes employing resources

  10. Forest impact estimated with NOAA AVHRR and Landsat TM data related to an empirical hurricane wind-field distribution

    E-Print Network [OSTI]

    Hodgson, Michael E.

    with Hurricane Andrew in 1992. The wind-field model projected that the highest wind speeds were in the southernForest impact estimated with NOAA AVHRR and Landsat TM data related to an empirical hurricane wind to relate forest type and hurricane-impact distribution with wind speed and duration to explain

  11. Counting Jobs and Economic Impacts from Distributed Wind in the United States (Poster)

    SciTech Connect (OSTI)

    Tegen, S.

    2014-05-01T23:59:59.000Z

    This conference poster describes the distributed wind Jobs and Economic Development Imapcts (JEDI) model. The goal of this work is to provide a model that estimates jobs and other economic effects associated with the domestic distributed wind industry. The distributed wind JEDI model is a free input-output model that estimates employment and other impacts resulting from an investment in distributed wind installations. Default inputs are from installers and industry experts and are based on existing projects. User input can be minimal (use defaults) or very detailed for more precise results. JEDI can help evaluate potential scenarios, current or future; inform stakeholders and decision-makers; assist businesses in evaluating economic development impacts and estimating jobs; assist government organizations with planning and evaluating and developing communities.

  12. WARP: A modular wind power system for distributed electric utility application

    SciTech Connect (OSTI)

    Weisbrich, A.L. [ENECO, West Simsbury, CT (United States)] [ENECO, West Simsbury, CT (United States); Ostrow, S.L.; Padalino, J.P. [Raytheon Engineers and Constructors, New York, NY (United States)] [Raytheon Engineers and Constructors, New York, NY (United States)

    1996-07-01T23:59:59.000Z

    Steady development of wind turbine technology, and the accumulation of wind farm operating experience, have resulted in the emergence of wind power as a potentially attractive source of electricity for utilities. Since wind turbines are inherently modular, with medium-sized units typically in the range of a few hundred kilowatts each, they lend themselves well to distributed generation service. A patented wind power technology, the Toroidal Accelerator Rotor Platform (TARP) Windframe, forms the basis for a proposed network-distributed, wind power plant combining electric generation and transmission. While heavily building on proven wind turbine technology, this system is projected to surpass traditional configuration windmills through a unique distribution/transmission combination, superior performance, user-friendly operation and maintenance, and high availability and reliability. Furthermore, its environmental benefits include little new land requirements, relatively attractive appearance, lower noise and EMI/TV interference, and reduced avian (bird) mortality potential. Its cost of energy is projected to be very competitive, in the range of from approximately 2{cents}/kWh to 5{cents}/kWh, depending on the wind resource.

  13. Fostering a Renewable Energy Technology Industry: An International Comparison of Wind Industry Policy Support Mechanisms

    E-Print Network [OSTI]

    Lewis, Joanna; Wiser, Ryan

    2005-01-01T23:59:59.000Z

    2004. International Wind Energy Development, World Market2005. International Wind Energy Development, World Market2004, March 2005. Canadian Wind Energy Association (CanWEA),

  14. 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.

  15. Procedures for preparation, printing, and distribution of UMTRA Project National Environmental Policy Act documents

    SciTech Connect (OSTI)

    Not Available

    1988-08-01T23:59:59.000Z

    This paper discusses the procedures for preparation, printing and distribution of Uranium Mill Tailings Remedial Action (UMTRA) Project National Environmental Policy Act documents. (KJD)

  16. Impact of Distributed Wind on Bulk Power System Operations in ISO-NE: Preprint

    SciTech Connect (OSTI)

    Brancucci Martinez-Anido, C.; Hodge, B. M.; Palchak, D.; Miettinen, J.

    2014-09-01T23:59:59.000Z

    The work presented in this paper aims to study the impact of a range of penetration levels of distributed wind on the operation of the electric power system at the transmission level. This paper presents a case study on the power system in Independent System Operator New England. It is analyzed using PLEXOS, a commercial power system simulation tool. The results show that increasing the integration of distributed wind reduces total variable electricity generation costs, coal- and gas-fired electricity generation, electricity imports, and CO2 emissions, and increases wind curtailment. The variability and uncertainty of wind power also increases the start-up and shutdown costs and ramping of most conventional power plants.

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

    SciTech Connect (OSTI)

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

    1981-02-01T23:59:59.000Z

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

  18. 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.

  19. Northerly surface wind events over the eastern North Pacific Ocean : spatial distribution, seasonality, atmospheric circulation, and forcing

    E-Print Network [OSTI]

    Taylor, Stephen V.

    2006-01-01T23:59:59.000Z

    atmosphere over the eastern Pacific Ocean in summer, volumeover the eastern North Pacific Ocean: Spatial distribution,winds over the eastern North Pacific Ocean in spring and

  20. 2014 Distributed Wind Market Report Fact Sheet | 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 you0 ARRA Newsletters 2010 ARRA Newsletters American20122 Wind201320142014 DOE|4

  1. Young Stellar Clusters with a Schuster Mass Distribution - I: Stationary Winds

    E-Print Network [OSTI]

    Palous, Jan; Martinez-Gonzalez, Sergio; Hueyotl-Zahuantitla, Filiberto; Silich, Sergiy; Tenorio-Tagle, Guillermo

    2013-01-01T23:59:59.000Z

    Hydrodynamic models for spherically-symmetric winds driven by young stellar clusters with a generalized Schuster stellar density profile are explored. For this we use both semi-analytic models and 1D numerical simulations. We determine the properties of quasi-adiabatic and radiative stationary winds and define the radius at which the flow turns from subsonic into supersonic for all stellar density distributions. Strongly radiative winds diminish significantly their terminal speed and thus their mechanical luminosity is strongly reduced. This also reduces their potential negative feedback into their host galaxy ISM. The critical luminosity above which radiative cooling becomes dominant within the clusters, leading to thermal instabilities which make the winds non-stationary, is determined, and its dependence on the star cluster density profile, core radius and half mass radius is discussed.

  2. Control Strategies for Distributed Energy Resources to Maximize the Use of Wind Power in Rural Microgrids

    SciTech Connect (OSTI)

    Lu, Shuai; Elizondo, Marcelo A.; Samaan, Nader A.; Kalsi, Karanjit; Mayhorn, Ebony T.; Diao, Ruisheng; Jin, Chunlian; Zhang, Yu

    2011-10-10T23:59:59.000Z

    The focus of this paper is to design control strategies for distributed energy resources (DERs) to maximize the use of wind power in a rural microgrid. In such a system, it may be economical to harness wind power to reduce the consumption of fossil fuels for electricity production. In this work, we develop control strategies for DERs, including diesel generators, energy storage and demand response, to achieve high penetration of wind energy in a rural microgrid. Combinations of centralized (direct control) and decentralized (autonomous response) control strategies are investigated. Detailed dynamic models for a rural microgrid are built to conduct simulations. The system response to large disturbances and frequency regulation are tested. It is shown that optimal control coordination of DERs can be achieved to maintain system frequency while maximizing wind power usage and reducing the wear and tear on fossil fueled generators.

  3. PNNL Reports Distributed Wind Installations Down, Exports Up in 2013 |

    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 toManagementOPAM PolicyOfEnergyOutreachPNNL Advances

  4. DOE Seeking Proposals to Advance Distributed Wind Turbine Technology and

    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, OAPM |TRUJuly 29, 2013 Agency/ Sub- agency1990,Manufacturing |

  5. 2012 Market Report on U.S. Wind Technologies in Distributed Applications Webinar

    Broader source: Energy.gov [DOE]

    DOE will present a live webcast titled "2012 Market Report on U.S. Wind Technologies in Distributed Applications" on Wednesday, August 21, from 3:00 p.m. to 4:00 p.m. Eastern Daylight Time. Alice...

  6. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    natural gas prices), pushed wind energy to the top of (andperformance, and price of wind energy, policy uncertainty –cost, performance, and price of wind energy, some of these

  7. 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

  8. Distributed Solar PV for Electricity System Resiliency: Policy and Regulatory Considerations (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2014-11-01T23:59:59.000Z

    Distributed Solar PV systems have the potential of increasing the grid's resiliency to unforeseen events, such as extreme weather events and attacks. This paper presents the role that distributed PV can play in electric grid resiliency, introduces basic system design requirements and options, and discusses the regulatory and policy options for supporting the use of distributed PV for the purpose of increased electricity resiliency.

  9. DOE Announces Webinars on the Distributed Wind Power Market, Utility 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, OAPM | DepartmentIOffshore Wind EconomicStudentService

  10. Evaluation of data and request distribution policies in clustered servers

    E-Print Network [OSTI]

    Khaleel, Adnan

    1999-01-01T23:59:59.000Z

    . However, the choice of request distribution and data distribution can play an important role in determining overall system performance. Round Robin type distribution schemes achieve ideal load balancing while ignoring server loading whereas locality based...

  11. Some Inconvenient Truths About Climate Change Policy: The Distributional Impacts of Transportation Policies

    E-Print Network [OSTI]

    Rothman, Daniel

    program (CAT) and three policies currently in use: ethanol subsidies, a renewable fuel standard (RFS currently in place essentially translate into subsidies for biofuels, most notably ethanol.1,2Two major policies exist at the national level: direct subsidies to ethanol and the Renewable Fuel Standard requiring

  12. Grid 2020: Toward a Policy of Renewable & Distributed Resources

    E-Print Network [OSTI]

    years, which would make solar power less expensive than retail electricity in roughly 20 states" David, DoE, USCHP #12;6 Wide Area CoordinaBon & Controls Location of Variable Wind, Solar, Balancing Resources and Load Centers Requires Close Pan-Regional Coordination & Controls #12;7 Customer

  13. Essays on energy and environmental policy

    E-Print Network [OSTI]

    Novan, Kevin Michael

    2012-01-01T23:59:59.000Z

    Energy Policies . . . . . . . . . . . . . 1.2.3 Simplethe Wind: Renewable Energy Policies and Air Pollu- tion3.4 Policy Evaluation . . . . . .

  14. Essays on energy and environmental policy

    E-Print Network [OSTI]

    Novan, Kevin Michael

    2012-01-01T23:59:59.000Z

    1 Valuing the Wind: Renewable Energy Policies and Air Pollu-1 Valuing the Wind: Renewable Energy Policies and Airwind power in a carbon constrained world, Energy Policy, 34-

  15. Impact of Distributed Wind on Bulk Power System Operations in ISO-NE (Presentation)

    SciTech Connect (OSTI)

    Brancucci Martinez-Anido, C.; Hodge, B. M.; Palchak, D.; Miettinen, J.

    2014-11-01T23:59:59.000Z

    The work presented in the paper corresponding to this presentation aims to study the impact of a range of penetration levels of distributed wind on the operation of the electric power system at the transmission level. This presentation is an overview of a case study on the power system in Independent System Operator New England. It is analyzed using PLEXOS, a commercial power system simulation tool

  16. WIND DATA REPORT Mattapoisett

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Mattapoisett Mattapoisett, Massachusetts December 1, 2006 ­ February 28, 2007...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  17. Long-Term Probability Distribution of Wind Turbine Planetary Bearing Loads (Poster)

    SciTech Connect (OSTI)

    Jiang, Z.; Xing, Y.; Guo, Y.; Dong, W.; Moan, T.; Gao, Z.

    2013-04-01T23:59:59.000Z

    Among the various causes of bearing damage and failure, metal fatigue of the rolling contact surface is the dominant failure mechanism. The fatigue life is associated with the load conditions under which wind turbines operate in the field. Therefore, it is important to understand the long-term distribution of the bearing loads under various environmental conditions. The National Renewable Energy Laboratory's 750-kW Gearbox Reliability Collaborative wind turbine is studied in this work. A decoupled analysis using several computer codes is carried out. The global aero-elastic simulations are performed using HAWC2. The time series of the drivetrain loads and motions from the global dynamic analysis are fed to a drivetrain model in SIMPACK. The time-varying internal pressure distribution along the raceway is obtained analytically. A series of probability distribution functions are then used to fit the long-term statistical distribution at different locations along raceways. The long-term distribution of the bearing raceway loads are estimated under different environmental conditions. Finally, the bearing fatigue lives are calculated.

  18. Evaluating state markets for residential wind systems: Results from an economic and policy analysis tool

    E-Print Network [OSTI]

    Edwards, Jennifer L.; Wiser, Ryan; Bolinger, Mark; Forsyth, Trudy

    2004-01-01T23:59:59.000Z

    Administration (2003). Annual Energy Outlook 2003. DOE/EIA-SP SWAT TVA USDA Annual Energy Outlook American Wind Energyaccording to the 2003 Annual Energy Outlook. Although this

  19. Effective Distribution Policies Utilizing Logistics Contracting Hyun-Soo Ahn Osman Engin Alper Philip Kaminsky

    E-Print Network [OSTI]

    Kaminsky, Philip M.

    Effective Distribution Policies Utilizing Logistics Contracting Hyun-Soo Ahn · Osman Engin Alper@ieor.berkeley.edu · kaminsky@ieor.berkeley.edu Logistics outsourcing is becoming a more widely utilized practice across many of a production- distribution system with stochastic demand and logistics outsourcing. For our initial

  20. Distributed Solar Photovoltaics for Electric Vehicle Charging: Regulatory and Policy Considerations (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2014-09-01T23:59:59.000Z

    Increasing demand for electric vehicle (EV) charging provides an opportunity for market expansion of distributed solar technology. A major barrier to the current deployment of solar technology for EV charging is a lack of clear information for policy makers, utilities and potential adopters. This paper introduces the pros and cons of EV charging during the day versus at night, summarizes the benefits and grid implications of combining solar and EV charging technologies, and offers some regulatory and policy options available to policy makers and regulators wanting to incentivize solar EV charging.

  1. Recharging U.S. Energy Policy: Advocating for a National Renewable Portfolio Standard

    E-Print Network [OSTI]

    Lunt, Robin J.

    2007-01-01T23:59:59.000Z

    Wind Energy Assoc. (1997), http:// www.awea.org/policy/ENERGY POLICY From the renewable generator's perspective, WindPolicy Act as *'electric energy generated from solar, wind,

  2. Evaluating state markets for residential wind systems: Results from an economic and policy analysis tool

    E-Print Network [OSTI]

    Edwards, Jennifer L.; Wiser, Ryan; Bolinger, Mark; Forsyth, Trudy

    2004-01-01T23:59:59.000Z

    xii Figure ES-4. Incremental LCOE Without State16 Figure 5. LCOE Results from SWAT Base-Case60 Table A-5. Base Case Results for LCOE for Wind Classes 2-

  3. Solar Wind Particle Distribution Function Fitted via the Generalized Kappa Distribution Function: Cluster

    E-Print Network [OSTI]

    California at Berkeley, University of

    of high energy tail and shoulders in the profile of distribution function stimulate to look for a better ion data, because the fit can be best achieved in both the high energy tail as well as shoulders MISSION AND CLUSTER ION SPECTROMETRY (CIS) The ESA Cluster mission consists of four identical spacecraft

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

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01T23:59:59.000Z

    Offshore Wind Power: Underlying Factors. Energy Policy. 35(Wind Development on Local Property Values. Renewable Energy Policy

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

    E-Print Network [OSTI]

    Hoen, Ben

    2012-01-01T23:59:59.000Z

    Offshore Wind Power: Underlying Factors. Energy Policy,Wind Development on Local Property Values. Renewable Energy Policy

  6. Observed and CAM3 GCM Sea Surface Wind Speed Distributions: Characterization, Comparison, and Bias Reduction

    E-Print Network [OSTI]

    Capps, Scott B; Zender, Charles S

    2008-01-01T23:59:59.000Z

    341–345. Yuan, X. , 2004: High-wind-speed evaluation in theCosca, 2004: Effects of wind speed and gas exchange param-dust emission caused by wind erosion. J. Geophys. Res. ,

  7. Observed and CAM3 GCM Sea Surface Wind Speed Distributions: Characterization, Comparison, and Bias Reduction

    E-Print Network [OSTI]

    Capps, Scott B; Zender, Charles S

    2008-01-01T23:59:59.000Z

    bin predictions. and 90th percentile wind speeds and higherWind speed mean, 90th percentile, standard deviation, andwind speed mean, 90th percentile, standard deviation, and

  8. Stringency and distribution in the EU ETS: first evidence 41 CLIMATE POLICY

    E-Print Network [OSTI]

    Steininger, Karl W.

    Stringency and distribution in the EU Emissions Trading Scheme: first evidence CLAUDIA KETTNER1,2 , ANGELA covered by the EU Emissions Trading Scheme (EU ETS) were compared. Based on data available for 24 Member: climate policy; emissions trading; EU Emissions Trading Scheme A partir des émissions vérifiées pour les

  9. ON QUIET-TIME SOLAR WIND ELECTRON DISTRIBUTIONS IN DYNAMICAL EQUILIBRIUM WITH LANGMUIR TURBULENCE

    SciTech Connect (OSTI)

    Zaheer, S. [Permanent address: Department of Physics, Forman Christian College, Lahore, Punjab 54000, Pakistan. (Pakistan); Yoon, P. H. [Also at SSR, KHU, Yongin, Korea. (Korea, Republic of)

    2013-10-01T23:59:59.000Z

    A recent series of papers put forth a self-consistent theory of an asymptotically steady-state electron distribution function and Langmuir turbulence intensity. The theory was developed in terms of the ? distribution which features Maxwellian low-energy electrons and a non-Maxwellian energetic power-law tail component. The present paper discusses a generalized ? distribution that features a Davydov-Druyvesteyn type of core component and an energetic power-law tail component. The physical motivation for such a generalization is so that the model may reflect the influence of low-energy electrons interacting with low-frequency kinetic Alfvénic turbulence as well as with high-frequency Langmuir turbulence. It is shown that such a solution and the accompanying Langmuir wave spectrum rigorously satisfy the balance requirement between the spontaneous and induced emission processes in both the particle and wave kinetic equations, and approximately satisfy the similar balance requirement between the spontaneous and induced scattering processes, which are nonlinear. In spite of the low velocity modification of the electron distribution function, it is shown that the resulting asymptotic velocity power-law index ?, where f{sub e} ? v {sup –?} is close to the average index observed during the quiet-time solar wind condition, i.e., ? ? O(6.5) whereas ?{sub average} ? 6.69, according to observation.

  10. Empirical downscaling of wind speed probability distributions S. C. Pryor and J. T. Schoof1

    E-Print Network [OSTI]

    Pryor, Sara C.

    . Barthelmie2 Department of Wind Energy and Atmospheric Physics, Risø National Laboratory, Roskilde, Denmark decreases in mean wind speed, 90th percentile wind speed, and energy density in 2071­2100 relative to 1961 increase in the annual wind energy resource over northern Europe between the end of the 20th century

  11. 20% Wind Energy by 2030: Increasing Wind Energy's Contribution...

    Office of Environmental Management (EM)

    a new vision for wind energy through 2050. Taking into account all facets of wind energy (land-based, offshore, distributed), the new Wind Vision Report defines the...

  12. Policies

    E-Print Network [OSTI]

    Optimization Online Policy. Mission statement. Optimization Online is a repository of eprints about optimization and related topics. It facilitates quick ...

  13. WIND DATA REPORT Presque Isle

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Presque Isle June 1, 2005 ­ August 31, 2005 Prepared for United States Department...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  14. WIND DATA REPORT Presque Isle

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Presque Isle December 1, 2004 ­ February 28, 2005 Prepared for United States.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  15. WIND DATA REPORT Presque Isle

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Presque Isle December 1, 2004 ­ December 1, 2005 Prepared for United States ......................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  16. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island June 1, 2003 ­ August 31, 2003 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distribution

  17. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island December 1, 2003 ­ February 29, 2004 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distribution

  18. WIND DATA REPORT Presque Isle

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Presque Isle March 1, 2005 ­ May 31, 2005 Prepared for United States Department.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  19. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island March 1, 2003 ­ May 31, 2003 Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  20. WIND DATA REPORT FALMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT FALMOUTH, MA June1, 2004 to August 31, 2004. Prepared for Massachusetts Technology...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 8 Wind Speed Distributions

  1. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island September 1, 2003 ­ November 30, 2003 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distribution

  2. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island March 1, 2004 ­ May 31, 2004 Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distribution

  3. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island June 1, 2004 ­ August 31, 2004 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distribution

  4. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island December 1, 2004 ­ February 28, 2005 Prepared for Massachusetts.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distribution

  5. WIND DATA REPORT DARTMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT DARTMOUTH, MA March 26th 2005 to May 31st 2005. Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  6. WIND DATA REPORT FALMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT FALMOUTH, MA June 1st 2004- May 31st 2005 Prepared for Massachusetts Technology.................................................................................................................... 10 Wind Speed Distributions......................................................................................................... 11 Monthly Average Wind Speeds

  7. WIND DATA REPORT Kingston, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Kingston, MA March 1, 2006 - May 31, 2006 Prepared for Massachusetts Technology.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions.......

  8. WIND DATA REPORT Nantucket, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Nantucket, MA September 1st 2005 to November 30th 2005. Prepared for Massachusetts.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  9. WIND DATA REPORT Wellfleet, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Wellfleet, MA December 1st , 2006 ­ February 28th , 2007 Prepared...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  10. WIND DATA REPORT Truro, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Truro, Massachusetts March 24th to May 31st , 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  11. WIND DATA REPORT Chester, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Chester, MA December 2006 ­ February 2007 Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  12. WIND DATA REPORT Truro, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Truro, Massachusetts December, 2006 1st to February 28th , 2007 Prepared...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  13. WIND DATA REPORT Chester, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Chester, MA March 2007 ­ May 2007 Prepared for Massachusetts Technology...................................................................................................................... 8 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  14. WIND DATA REPORT Chester, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Chester, MA September ­ November 2006 Prepared for Massachusetts Technology.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  15. WIND DATA REPORT DARTMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT DARTMOUTH, MA September 1st 2005 to November 30th 2005. Prepared for Massachusetts.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  16. WIND DATA REPORT Kingston, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Kingston, MA December 1, 2005 - February 28, 2006 Prepared for Massachusetts.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distribution

  17. WIND DATA REPORT Brewster, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Brewster, Massachusetts September 1, 2006 - November 30, 2006 Prepared.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions..................

  18. WIND DATA REPORT Nantucket, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Nantucket, MA December 1st 2005 to February 28th 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  19. WIND DATA REPORT Gardner NCCI

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Gardner NCCI March 1, 2007 ­ May 31, 2007 Prepared for Massachusetts Technology...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  20. WIND DATA REPORT FALMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT FALMOUTH, MA Sep 1st 2004 to Nov 30th 2004. Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  1. WIND DATA REPORT Chester, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Chester, MA June ­ August 2006 Prepared for Massachusetts Technology Collaborative.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  2. WIND DATA REPORT Nantucket, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Nantucket, MA June 1st 2005 to August 31st 2005. Prepared for Massachusetts.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  3. WIND DATA REPORT Truro, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Truro, Massachusetts September 1st to November 30th , 2006 Prepared.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  4. WIND DATA REPORT Truro, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Truro, Massachusetts June 1st to August 31st , 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  5. WIND DATA REPORT DARTMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT DARTMOUTH, MA June 1st 2005 to August 31st 2005. Prepared for Massachusetts.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  6. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island September 1, 2004 ­ November 30, 2004 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distribution.............

  7. WIND DATA REPORT DARTMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT DARTMOUTH, MA December 1st 2005 to February 28th 2006. Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  8. WIND DATA REPORT Dartmouth, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Dartmouth, MA March 1st 2006 to May 31th 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  9. WIND DATA REPORT Wellfleet, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Wellfleet, MA March 1st , 2007 ­ May 31st , 2007 Prepared for Massachusetts...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  10. WIND DATA REPORT Gardner NCCI

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Gardner NCCI September 1, 2007 ­ November 30, 2007 Prepared for Massachusetts...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  11. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island March 1, 2005 ­ May 31, 2005 Prepared for Massachusetts Technology.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distribution

  12. WIND DATA REPORT Chester, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Chester, MA April 14 ­ May 31, 2006 Prepared for Massachusetts Technology.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  13. WIND DATA REPORT FALMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT FALMOUTH, MA Dec 1st 2004 to Feb 28th 2005. Prepared for Massachusetts Technology ...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  14. WIND DATA REPORT FALMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT FALMOUTH, MA March 1st 2005 to May 31st 2005. Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  15. WIND DATA REPORT Dartmouth, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Dartmouth, MA June 1st 2006 to July 31th 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  16. WIND DATA REPORT Gardner NCCI

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Gardner NCCI June 1, 2007 ­ August 31, 2007 Prepared for Massachusetts Technology...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  17. WIND DATA REPORT Nantucket, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Nantucket, MA March 1st 2006 to May 31th 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distribut

  18. The Impact of Wind Power Projects on Residential Property Values in the United States: A Multi-Site Hedonic Analysis

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01T23:59:59.000Z

    Offshore Wind Power: Underlying Factors. Energy Policy. 35(Wind Development on Local Property Values. Renewable Energy Policy

  19. Essays on energy and environmental policy

    E-Print Network [OSTI]

    Novan, Kevin Michael

    2012-01-01T23:59:59.000Z

    1 Valuing the Wind: Renewable Energy Policies and Air Pollu-Emissions Reductions from Wind Energy: Location, Location,High-capacity factor wind energy systems, Jounal of Solar

  20. Grass roots technology and energy policy: Solar ovens and wind turbines in Kenya

    SciTech Connect (OSTI)

    Kammen, D.M. [Harvard Univ., Cambridge, MA (United States). Dept. of Physics

    1992-12-31T23:59:59.000Z

    Kenya is said to be an ideal site for projects that promote renewable energy sources since it devotes over forty percent of its GNP to the purchase of imported coal and oil. The author presents a chronology of solar oven projects in Kenya and suggests that success of the program will be measured by the number of people who move on to wind turbine use. He discusses the role of renewable energy technology in reducing greenhouse gases and closes by recommending that industrialized nations that produce large amounts of carbon dioxide provide aid to develop projects that reduce carbon dioxide elsewhere in the world. At the same time they would receive credit towards their carbon dioxide quotas.

  1. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    natural gas prices, though the economic value of wind energyenergy and climate policy initiatives. With wind turbine pricesprices reported here would be at least $20/MWh higher without the PTC), they do not represent wind energy

  2. Understanding Trends in Wind Turbine Prices Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01T23:59:59.000Z

    of wind energy lower, regardless of the policy environment.price of wind energy in the US. ” Energy Policy, Volume 37,

  3. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    Policies for Renewable Energy-the example of China‘s windframework,? Energy Policy 32 (2004): ?PR China,? Global WindWind Power in China: Policy and development challenges,? Energy Policy

  4. 2008 WIND TECHNOLOGIES MARKET REPORT

    SciTech Connect (OSTI)

    Wiser, Ryan H.; Bolinger, Mark; Barbose, G.; Mills, A.; Rosa, A.; Porter, K.; Fink, S.; Tegen, S.; Musial, W.; Oteri, F.; Heimiller, D.; Rberts, B.; Belyeu, K.; Stimmel, R.

    2009-07-15T23:59:59.000Z

    The U.S. wind industry experienced a banner year in 2008, again surpassing even optimistic growth projections from years past. At the same time, the last year has been one of upheaval, with the global financial crisis impacting near-term growth prospects for the wind industry, and with federal policy changes enacted to push the industry towards continued aggressive expansion. This rapid pace of development has made it difficult to keep up with trends in the marketplace. Yet, the need for timely, objective information on the industry and its progress has never been greater. This report - the third of an ongoing annual series - attempts to meet this need by providing a detailed overview of developments and trends in the U.S. wind power market, with a particular focus on 2008. As with previous editions, this report begins with an overview of key wind power installation-related trends: trends in wind capacity growth in the U.S., how that growth compares to other countries and generation sources, the amount and percentage of wind in individual states and serving specific utilities, and the quantity of proposed wind capacity in various interconnection queues in the United States. Next, the report covers an array of wind industry trends, including developments in turbine manufacturer market share, manufacturing and supply-chain investments, wind turbine and wind project size, project financing developments, and trends among wind power developers, project owners, and power purchasers. The report then turns to a discussion of wind project price, cost, and performance trends. In so doing, it reviews the price of wind power in the United States, and how those prices compare to the cost of fossil-fueled generation, as represented by wholesale power prices. It also describes trends in installed wind project costs, wind turbine transaction prices, project performance, and operations and maintenance expenses. Next, the report examines other policy and market factors impacting the domestic wind power market, including federal and state policy drivers, transmission issues, and grid integration. Finally, the report concludes with a preview of possible near- to medium-term market developments. This version of the Annual Report updates data presented in the previous editions, while highlighting key trends and important new developments from 2008. New to this edition is an executive summary of the report and an expanded final section on near- to medium-term market development. The report concentrates on larger-scale wind applications, defined here as individual turbines or projects that exceed 50 kW in size. The U.S. wind power sector is multifaceted, however, and also includes smaller, customer-sited wind turbines used to power the needs of residences, farms, and businesses. Data on these applications are not the focus of this report, though a brief discussion on Distributed Wind Power is provided on page 4. Much of the data included in this report were compiled by Berkeley Lab, and come from a variety of sources, including the American Wind Energy Association (AWEA), the Energy Information Administration (EIA), and the Federal Energy Regulatory Commission (FERC). The Appendix provides a summary of the many data sources used in the report. Data on 2008 wind capacity additions in the United States are based on information provided by AWEA; some minor adjustments to those data may be expected. In other cases, the data shown here represent only a sample of actual wind projects installed in the United States; furthermore, the data vary in quality. As such, emphasis should be placed on overall trends, rather than on individual data points. Finally, each section of this document focuses on historical market information, with an emphasis on 2008; with the exception of the final section, the report does not seek to forecast future trends.

  5. SciTech Connect: Offshore Wind Jobs and Economic Development...

    Office of Scientific and Technical Information (OSTI)

    Technologies Office Country of Publication: United States Language: English Subject: 17 WIND ENERGY; 29 ENERGY PLANNING, POLICY AND ECONOMY OFFSHORE WIND JOBS; OFFSHORE WIND...

  6. Net Metering Policy Development and Distributed Solar Generation in Minnesota: Overview of Trends in Nationwide Policy Development and Implications of Increasing the Eligible System Size Cap

    SciTech Connect (OSTI)

    Doris, E.; Busche, S.; Hockett, S.

    2009-12-01T23:59:59.000Z

    The goal of the Minnesota net metering policy is to give the maximum possible encouragement to distributed generation assets, especially solar electric systems (MN 2008). However, according to a published set of best practices (NNEC 2008) that prioritize the maximum development of solar markets within states, the Minnesota policy does not incorporate many of the important best practices that may help other states transform their solar energy markets and increase the amount of grid-connected distributed solar generation assets. Reasons cited include the low system size limit of 40kW (the best practices document recommends a 2 MW limit) and a lack of language protecting generators from additional utility fees. This study was conducted to compare Minnesota's policies to national best practices. It provides an overview of the current Minnesota policy in the context of these best practices and other jurisdictions' net metering policies, as well as a qualitative assessment of the impacts of raising the system size cap within the policy based on the experiences of other states.

  7. Northerly surface wind events over the eastern North Pacific Ocean : spatial distribution, seasonality, atmospheric circulation, and forcing

    E-Print Network [OSTI]

    Taylor, Stephen V.

    2006-01-01T23:59:59.000Z

    D. (2005), California Wind Resources, CEC publication # CEC-level inversions with surface wind and temperature at PointD. W. Stuart (1986), Mesoscale wind variability near Point

  8. POLICY

    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 toManagementOPAM PolicyOfEnergyOutreachPNNL AdvancesPNNL:13, 2013 POLICY

  9. Policies

    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)IntegratedSpeeding accessPeptoidLabPhysicsPits | NationalYou'vePolicies Policies

  10. Wind Power Outlook 2004

    SciTech Connect (OSTI)

    anon.

    2004-01-01T23:59:59.000Z

    The brochure, expected to be updated annually, provides the American Wind Energy Association's (AWAE's) up-to-date assessment of the wind industry. It provides a summary of the state of wind power in the U.S., including the challenges and opportunities facing the industry. It provides summary information on the growth of the industry, policy-related factors such as the federal wind energy production tax credit status, comparisons with natural gas, and public views on wind energy.

  11. ANNUAL WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    ANNUAL WIND DATA REPORT Thompson Island March 1, 2002 ­ February 28, 2003 Prepared.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  12. WIND DATA REPORT January -December, 2003

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Vinalhaven January - December, 2003 Prepared for Fox Islands Electric Cooperative...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  13. WIND DATA REPORT January -March, 2004

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Vinalhaven January - March, 2004 Prepared for Fox Islands Electric Cooperative...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  14. WIND DATA REPORT Deer Island Outfall

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Deer Island Outfall August 18, 2003 ­ December 4, 2003 Prepared for Massachusetts...................................................................................................................... 7 Wind Speed Time Series............................................................................................................. 7 Wind Speed Distributions

  15. WIND DATA REPORT Deer Island Parking Lot

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Deer Island Parking Lot May 1, 2003 ­ July 15, 2003 Prepared for Massachusetts...................................................................................................................... 7 Wind Speed Time Series............................................................................................................. 7 Wind Speed Distributions

  16. WIND DATA REPORT Quincy DPW, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Quincy DPW, MA September 1st 2006 to November 30th 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  17. WIND DATA REPORT Bishop and Clerks

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Bishop and Clerks March 1, 2005 ­ May 31, 2005 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  18. WIND DATA REPORT Quincy Quarry Hills

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Quincy Quarry Hills December 2006 to February 2007 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  19. WIND DATA REPORT Quincy DPW, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Quincy DPW, MA June 1st 2006 to August 31st 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  20. WIND DATA REPORT Quincy Quarry Hills

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Quincy Quarry Hills March 2007 to May 2007 Prepared for Massachusetts Technology...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  1. WIND DATA REPORT Rockport School Complex

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Rockport School Complex Rockport, Massachusetts March 1, 2006 ­ May 31, 2007...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  2. WIND DATA REPORT Quincy DPW, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Quincy DPW, MA March 1st 2007 to May 31st 2007 Prepared for Massachusetts...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  3. WIND DATA REPORT Tisbury, Martha's Vineyard,

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Tisbury, Martha's Vineyard, Massachusetts September 1, 2007 ­ November 30, 2007...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  4. WIND DATA REPORT Rockport School Complex

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Rockport School Complex Rockport, Massachusetts December 1st , 2007 ­ February 29...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  5. WIND DATA REPORT Rockport School Complex

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Rockport School Complex Rockport, Massachusetts September 1, 2005 - November 31.................................................................................................................... 12 Wind Speed Time Series........................................................................................................... 12 Wind Speed Distributions

  6. WIND DATA REPORT Rockport School Complex

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Rockport School Complex Rockport, Massachusetts June 1, 2007 ­ August 31, 2007...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  7. WIND DATA REPORT December, 2004 28th

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Orleans 1st December, 2004 ­28th February, 2005 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions.......................................................................................................

  8. WIND DATA REPORT Rockport School Complex

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Rockport School Complex Rockport, Massachusetts December 1, 2006 ­ February 28...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  9. Distributed Wind Case Study: Cross Island Farms, Wellesley Island, New York (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-04-01T23:59:59.000Z

    Installing a small wind turbine can sometimes be difficult due to economics, zoning issues, public perception, and other barriers. Persistence and innovation, however, can result in a successful installation. Dani Baker and David Belding own Cross Island Farms, a 102-acre certified organic farm on Wellesley Island in northern New York. In 2009, they took their interest in renewable energy to the next level by researching the logistics of a small wind installation on their land to make their farm even more sustainable. Their renewable energy system consists of one 10-kilowatt Bergey Excel wind turbine, a solar array, and a propane-powered generator. This case study describes funding for the project and the installation process.

  10. POLICY

    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 toManagementOPAM PolicyOfEnergyOutreachPNNL AdvancesPNNL:13, 2013

  11. Understanding Wind Turbine Price Trends in the U.S. Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    of wind energy lower, regardless of the policy environment.price of wind energy in the US. ” Energy Policy, Volume 37,to Energy Policy Abstract: On a $-per-kW basis, wind turbine

  12. The economics of US greenhouse gas emissions reduction policy : assessing distributional effects across households and the 50 United States using a recursive dynamic computable general equilibrium (CGE) model

    E-Print Network [OSTI]

    Look, Wesley Allen

    2013-01-01T23:59:59.000Z

    The political economy of US climate policy has revolved around state- and district- level distributional economics, and to a lesser extent household-level distribution questions. Many politicians and analysts have suggested ...

  13. Abstract--This paper presents the impact of different types of load models in distribution network with distributed wind

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    as a major enabler of the smart grid for the integration of small and medium sized renewable energy based that modeling of loads has a significant impact on the voltage dynamics of the distribution systemAbstract--This paper presents the impact of different types of load models in distribution network

  14. Effect of rate of current rise in the output windings on the space -time distribution of the electron beam in a betatron

    SciTech Connect (OSTI)

    Chakhlov, V.L.; Filimonov, A.A.; Kashkovskii, V.V.

    1985-09-01T23:59:59.000Z

    This paper reports on the results of a study of the effect of the rate of current rise in the output windings of a betatron on the parameters of the resultant electron beam. It is shown that the rate of current rise in the windings only changes the duration of the radiation pulse associated with the beam and its delay relative to the initiation of the current pulse in the windings. The spatial distribution of the beam is determined mainly by the distribution of the magnetic field of the betatron. The findings of this study have made it possible to simplify the current pulse generator in the output-winding supply circuit of the PMB-6E betatron, reduce its size, and increase its reliability.

  15. The electron distribution function downstream of the solar-wind termination shock: Where are the hot electrons?

    E-Print Network [OSTI]

    Fahr, Hans J; Verscharen, Daniel

    2015-01-01T23:59:59.000Z

    In the majority of the literature on plasma shock waves until now, electrons have played the role of "ghost particles," since they contribute to mass- and momentum flows only negligibly and have been treated as taking care of the electric plasma neutrality. In some more recent papers, however, electrons play a new important role in the shock dynamics and thermodynamics, especially at the solar-wind termination shock. They react on the shock electric field in a very specific way, leading to suprathermal non-equilibrium distributions of the downstream electrons that can be represented by a kappa distribution function. In this article, we discuss why these anticipated hot electron population has not been seen by the plasma detectors of the Voyager spacecraft downstream of the solar-wind termination shock. We show that hot non-equilibrium electrons induce a strong negative electric charge-up of any spacecraft cruising through this downstream plasma environment. This charge reduces electron fluxes at the spacecraf...

  16. The Cost of Transmission for Wind Energy: A Review of Transmission Planning Studies

    E-Print Network [OSTI]

    Mills, Andrew D.

    2009-01-01T23:59:59.000Z

    wind power in a carbon constrained world. Energy Policy 34,wind energy: modeling the competition between gas turbines and compressed air energy storage for supplemental generation. Energy Policy

  17. Practitioner Perspectives Matter: Public Policy and Private Investment in the U.S. Electric Power Sector

    E-Print Network [OSTI]

    Barradale, Merrill Jones

    2010-01-01T23:59:59.000Z

    of these policies would give wind energy a boost relative toon the cost of wind power. ” Energy Policy 25(1): 15-27.of Policy Uncertainty on Renewable Energy Investment: Wind

  18. Wind Power Price Trends in the United States: Struggling to Remain Competitive in the Face of Strong Growth

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    Curves for Wind Farms. ” Energy Policy, 33: 133-150. Lusey,Wind Power Development in the United States” Energy Policy.Curves for Wind Power. ” Energy Policy, 30: 1181- IHS CERA.

  19. Essays on energy and environmental policy

    E-Print Network [OSTI]

    Novan, Kevin Michael

    2012-01-01T23:59:59.000Z

    1.2.2 Renewable Energy Policies . . . . . . . . . . . . .1 Valuing the Wind: Renewable Energy Policies and Air Pollu-Moselle, Harnessing Renewable Energy, London, Earthscan. [6

  20. 46th Aerospace Sciences Meeting, January 7-10, 2008, Reno, Nevada A Smart Wind Turbine Blade Using Distributed

    E-Print Network [OSTI]

    Nelson, Robert C.

    46th Aerospace Sciences Meeting, January 7-10, 2008, Reno, Nevada A Smart Wind Turbine Blade Using of "smart" wind turbine blades with integrated sensor-actuator-controller modules to im- prove

  1. A Control Methodology for DFIG Type Wind Turbines Connected to Distribution Networks

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    in operating conditions. Index Terms-distributed generation (DG), DFIG, H= norm, linear quadratic Gaussian (LQG (RESs) in them will add a new dynamic event due to the variability and uncertainty inherent in operating due to their high cost. With recent developments in power electronic converters, variable speed

  2. WIND DATA REPORT September 1 2003 November 30 2003

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Paxton, MA September 1 2003 ­ November 30 2003 by James F. Manwell Anthony F.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  3. WIND DATA REPORT September 1, 2003 November 31, 2003

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Mt. Tom September 1, 2003 ­ November 31, 2003 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  4. WIND DATA REPORT Camden Hills Regional High School, ME

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Camden Hills Regional High School, ME December 1, 2006 ­ February 28, 2007...................................................................................................................... 7 Wind Speed Time Series............................................................................................................. 8 Wind Speed Distributions

  5. WIND DATA REPORT January 1, 2004 December 31, 2004

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Vinalhaven January 1, 2004 ­ December 31, 2004 Prepared for Fox Islands Electric...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  6. WIND DATA REPORT Camden Hills Regional High School, ME

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Camden Hills Regional High School, ME March 1st 2006 to May 31th 2006 Prepared.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  7. WIND DATA REPORT December 1 2003 February 29 2004

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Paxton, MA December 1 2003 ­ February 29 2004 Prepared for Diane Dillman, Paxton.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  8. WIND DATA REPORT December, 2003 February 29, 2004

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Orleans December, 2003 ­ February 29, 2004 Prepared for Massachusetts Technology.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  9. WIND DATA REPORT Camden Hills Regional High School, ME

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Camden Hills Regional High School, ME September 1st 2006 to November 30th 2006.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  10. WIND DATA REPORT October 27, 2003 November 31, 2003

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Orleans October 27, 2003 ­ November 31, 2003 Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  11. WIND DATA REPORT Camden Hills Regional High School, ME

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Camden Hills Regional High School, ME December 1st 2005 to February 28th 2006.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  12. WIND DATA REPORT March 1, 2004 May 31, 2004

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Eastham March 1, 2004 ­ May 31, 2004 Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  13. WIND DATA REPORT Camden Hills Regional High School, ME

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Camden Hills Regional High School, ME June 1st 2006 to August 31th 2006 Prepared.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  14. WIND DATA REPORT December 1, 2003 February 29, 2004

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Mt. Tom December 1, 2003 ­ February 29, 2004 Prepared for Massachusetts Technology.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  15. WIND DATA REPORT August 28 -December 31, 2002

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Vinalhaven August 28 - December 31, 2002 Prepared for Fox Islands Electric...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  16. Global ocean wind power sensitivity to surface layer stability

    E-Print Network [OSTI]

    Capps, Scott B; Zender, Charles S

    2009-01-01T23:59:59.000Z

    2005), Evaluation of global wind power, J. Geophys. Res. ,Pryor (2003), Can satellite sampling of offshore wind speedsrealistically represent wind speed distributions? , J. Appl.

  17. Markets versus Regulation: The Efficiency and Distributional Impacts of U.S. Climate Policy Proposals

    E-Print Network [OSTI]

    Rausch, S.

    Regulatory measures have proven the favored approach to climate change mitigation in the U.S., while market-based policies have gained little traction. Using a model that resolves the U.S. economy by region, income category, ...

  18. Compositional Policy Priors

    E-Print Network [OSTI]

    Wingate, David

    2013-04-12T23:59:59.000Z

    This paper describes a probabilistic framework for incorporating structured inductive biases into reinforcement learning. These inductive biases arise from policy priors, probability distributions over optimal policies. ...

  19. Standardized Software for Wind Load Forecast Error Analyses and Predictions Based on Wavelet-ARIMA Models - Applications at Multiple Geographically Distributed Wind Farms

    SciTech Connect (OSTI)

    Hou, Zhangshuan; Makarov, Yuri V.; Samaan, Nader A.; Etingov, Pavel V.

    2013-03-19T23:59:59.000Z

    Given the multi-scale variability and uncertainty of wind generation and forecast errors, it is a natural choice to use time-frequency representation (TFR) as a view of the corresponding time series represented over both time and frequency. Here we use wavelet transform (WT) to expand the signal in terms of wavelet functions which are localized in both time and frequency. Each WT component is more stationary and has consistent auto-correlation pattern. We combined wavelet analyses with time series forecast approaches such as ARIMA, and tested the approach at three different wind farms located far away from each other. The prediction capability is satisfactory -- the day-ahead prediction of errors match the original error values very well, including the patterns. The observations are well located within the predictive intervals. Integrating our wavelet-ARIMA (‘stochastic’) model with the weather forecast model (‘deterministic’) will improve our ability significantly to predict wind power generation and reduce predictive uncertainty.

  20. Wind Power Price Trends in the United States: Struggling to Remain Competitive in the Face of Strong Growth

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    Build a Durable Market for Wind Power in the United States”Consult. 2008. “International Wind Energy Development: WorldGlobal Experience Curves for Wind Farms. ” Energy Policy,

  1. Size-independent vs. size-dependent policies in scheduling heavy-tailed distributions

    E-Print Network [OSTI]

    Nham, John (John T.)

    2008-01-01T23:59:59.000Z

    We study the problem of scheduling jobs on a two-machine distributed server, where the job size distribution is heavy-tailed. We focus on two distributions, for which we prove that the performance of the optimal size-independent ...

  2. Advanced Inverter Functions to Support High Levels of Distributed Solar: Policy and Regulatory Considerations (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2014-11-01T23:59:59.000Z

    This paper explains how advanced inverter functions (sometimes called 'smart inverters') contribute to the integration of high levels of solar PV generation onto the electrical grid and covers the contributions of advanced functions to maintaining grid stability. Policy and regulatory considerations associated with the deployment of advanced inverter functions are also introduced.

  3. Department of Energy (DOE) Work For Others (WFO) Information Distribution Policies October 4, 2010

    E-Print Network [OSTI]

    .1C, Paragraph 4: REQUIREMENTS. It is Departmental policy that DOE/NNSA resources are made available to non-DOE/non- NNSA entities. Requirements of DOE/NNSA directives, applicable regulations, and the following requirements must be satisfied before work is performed. a. In operating DOE/NNSA Federally Funded

  4. Weighing the Costs and Benefits of Renewables Portfolio Standards: A Comparative Analysis of State-Level Policy Impact Projections

    E-Print Network [OSTI]

    Chen, Cliff; Wiser, Ryan; Bolinger, Mark

    2007-01-01T23:59:59.000Z

    energy/clean_energy_policies/strong-winds-opportunities-for-Energy Economics Wind Utility Consulting (WUC) UCS Rutgers CEEEP Center for Clean Air Policy (

  5. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    woes hamper China wind farms‘ push for profitability. ?18.9 gigawatts (GW) of new wind farms and overtook the US togrid companies to connect wind farms to the grid. The policy

  6. Wind Power: How Much, How Soon, and At What Cost?

    E-Print Network [OSTI]

    Wiser, Ryan H

    2010-01-01T23:59:59.000Z

    from Wind Energy Policy in the EU: Lessons from Denmark,Wind Energy Development: World Market Update 2007." Ringkobing, Denmark:Wind Energy Association Although European countries such as Germany, Denmark

  7. Emergency reconfiguration and distribution system planning under the Single-Contingency Policy

    E-Print Network [OSTI]

    Wang, J.

    Emergency reconfiguration can improve distribution systems' reliability by enabling load transfer among substations. Previous studies, although present its operation strategies, seldom explore emergency reconfiguration's ...

  8. Web tool for energy policy decision-making through geo-localized LCA models: A focus on offshore wind farms in Northern Europe

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    . To illustrate this issue, a web map service enabling "geolocalized life cycle assessment" of offshore wind farms makers in assess- ing the global environmental impacts caused by an offshore wind farm in Northern Europe of configurations and locations of offshore wind farms. A special interest is given to Northern Europe as offshore

  9. WIND DATA REPORT WBZ Tower, Hull, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT WBZ Tower, Hull, MA 12/1/06-2/28/07 Prepared for Department of Energy (DOE) Golden...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  10. What is Distributed Wind?

    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: SinceDevelopment | Department ofPartnerships ToolkitWaste Heatv3) |WelcomeIsWhat Isif Every Dayin

  11. Fluid models for evaluating threshold-based control policies for survivability of a distributed network

    E-Print Network [OSTI]

    Gautam, Natarajan

    in change of work load characteristics. Therefore, the resource sharing mechanism must be robust to work Abstract The objective of this paper is to develop methods to improve the survivability of a distributed by the agent on the machine but also by other applications running on the machine. Based on the load

  12. Addressing System Integration Issues Required for the Developmente of Distributed Wind-Hydrogen Energy Systems: Final Report

    SciTech Connect (OSTI)

    Mann, M.D; Salehfar, H.; Harrison, K.W.; Dale, N.; Biaku, C.; Peters, A.J.; Hernandez-Pacheco: E.

    2008-04-01T23:59:59.000Z

    Wind generated electricity is a variable resource. Hydrogen can be generated as an energy storage media, but is costly. Advancements in power electronics and system integration are needed to make a viable system. Therefore, the long-term goal of the efforts at the University of North Dakota is to merge wind energy, hydrogen production, and fuel cells to bring emission-free and reliable power to commercial viability. The primary goals include 1) expand system models as a tool to investigate integration and control issues, 2) examine long-term effects of wind-electrolysis performance from a systematic perspective, and 3) collaborate with NREL and industrial partners to design, integrate, and quantify system improvements by implementing a single power electronics package to interface wild AC to PEM stack DC requirements. This report summarizes the accomplishments made during this project.

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

    SciTech Connect (OSTI)

    Oladosu, Gbadebo A [ORNL

    2007-01-01T23:59:59.000Z

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

  14. POLICY SECTIONS POLICY OFFICE

    E-Print Network [OSTI]

    Minnesota, University of

    POLICY SECTIONS POLICY OFFICE POLICIES FORMS PROCEDURES UNIVERSITY POLICY #12;guide to WRITING POLICIES Administrative policies align opera- tions, set behavior expectations across the University system and communicate policy roles and responsibilities. You, as the policy owner or writer, have the important task

  15. XII.A.3. Binghamton University Royalty Distribution Plan The State University of New York patent policy provides for sharing between the

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    XII.A.3. Binghamton University Royalty Distribution Plan The State University of New York patent licensing of inventions. The patent policy requires 40% of the gross royalty must be provided with their generation as an incentive to disclosing potentially patentable inventions. Royalty funds provided

  16. Part of the Climate Change Problem . . . and the Solution? Chinese-Made Wind Power Technology and Opportunities for Dissemination

    E-Print Network [OSTI]

    Lewis, Joanna I.

    2005-01-01T23:59:59.000Z

    the building of wind farms  with  turbines  manufactured tender  for  a  100  MW  wind  farm  located  in  Huilai, wind  turbines  in  its  wind  farm  projects.   Policy 

  17. Wind Vision: A New Era for Wind Power in the United States

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

    v Acronyms Acronyms AC alternating current AEO Annual Energy Outlook AP2 (formerly APEEP) Air Pollution Emission Experiments and Policy AWEA American Wind Energy Association AWC...

  18. JEREMY FIRESTONE School of Marine Science and Policy

    E-Print Network [OSTI]

    Firestone, Jeremy

    Science and Policy, 2011- Courses: Offshore Wind Power: Science, Engineering and Policy Renewable Energy on public attitudes toward offshore oil drilling and wind development, Energy Policy (to be published 2013.1080/00908320.2012.698926 (2012) Firestone, J., Kempton, W., Lilley, M.B., Samoteskul, K., Public acceptance of offshore wind

  19. WIND ENERGY Wind Energ. (2014)

    E-Print Network [OSTI]

    Peinke, Joachim

    2014-01-01T23:59:59.000Z

    loads from the wind inflow through rotor aerodynamics, drive train and power electronics is stillWIND ENERGY Wind Energ. (2014) Published online in Wiley Online Library (wileyonlinelibrary wind inflow conditions M. R. Luhur, J. Peinke, J. Schneemann and M. Wächter ForWind-Center for Wind

  20. The Cost of Transmission for Wind Energy: A Review of Transmission Planning Studies

    E-Print Network [OSTI]

    Mills, Andrew D.

    2009-01-01T23:59:59.000Z

    in Systems with Wind Generation. DTI Centre for DistributedCost Resource Plan Wind Generation. Xcel Energy http://the Development of Wind Powered Generation in Southwestern

  1. Power law burst and inter-burst interval distributions in the solar wind: turbulence or dissipative SOC ?

    E-Print Network [OSTI]

    M. P. Freeman; N. W. Watkins; D. J. Riley

    2000-06-28T23:59:59.000Z

    We calculate for the first time the probability density functions (PDFs) P of burst energy e, duration T and inter-burst interval tau for a known turbulent system in nature. Bursts in the earth-sun component of the Poynting flux at 1 AU in the solar wind were measured using the MFI and SWE experiments on the NASA WIND spacecraft. We find P(e) and P(T) to be power laws, consistent with self-organised criticality (SOC). We find also a power law form for P(tau) that distinguishes this turbulent cascade from the exponential P(tau) of ideal SOC, but not from some other SOC-like sandpile models. We discuss the implications for the relation between SOC and turbulence.

  2. The communication dimension of wind energy

    E-Print Network [OSTI]

    McCalley, James D.

    The communication dimension of wind energy: Challenges and opportunities #12;OPPORTUNITIES #12;Pew;1. Emergent anti-wind energy advocacy groups #12;2. A multi-faceted technical issue that is difficult to explain Wind energy Policy Science Engineering Ethics Public relations Others #12;3. Different audience

  3. The potential for distributed generation in Japanese prototype buildings: A DER-CAM analysis of policy, tariff design, building energy use, and technology development (English Version)

    SciTech Connect (OSTI)

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

    2004-10-15T23:59:59.000Z

    The August 2003 blackout of the northeastern U.S. and CANADA caused great economic losses and inconvenience to New York City and other affected areas. The blackout was a warning to the rest of the world that the ability of conventional power systems to meet growing electricity demand is questionable. Failure of large power systems can lead to serious emergencies. Introduction of on-site generation, renewable energy such as solar and wind power and the effective utilization of exhaust heat is needed, to meet the growing energy demands of the residential and commercial sectors. Additional benefit can be achieved by integrating these distributed technologies into distributed energy resource (DER) systems. This work demonstrates a method for choosing and designing economically optimal DER systems. An additional purpose of this research is to establish a database of energy tariffs, DER technology cost and performance characteristics, and building energy consumption for Japan. This research builds on prior DER studies at the Ernest Orlando Lawrence Berkeley National Laboratory (LBNL) and with their associates in the Consortium for Electric Reliability Technology Solutions (CERTS) and operation, including the development of the microgrid concept, and the DER selection optimization program, the Distributed Energy Resources Customer Adoption Model (DER-CAM). DER-CAM is a tool designed to find the optimal combination of installed equipment and an idealized operating schedule to minimize a site's energy bills, given performance and cost data on available DER technologies, utility tariffs, and site electrical and thermal loads over a test period, usually an historic year. Since hourly electric and thermal energy data are rarely available, they are typically developed by building simulation for each of six end use loads used to model the building: electric-only loads, space heating, space cooling, refrigeration, water heating, and natural-gas-only loads. DER-CAM provides a global optimization, albeit idealized, that shows how the necessary useful energy loads can be provided for at minimum cost by selection and operation of on-site generation, heat recovery, cooling, and efficiency improvements. This study examines five prototype commercial buildings and uses DER-CAM to select the economically optimal DER system for each. The five building types are office, hospital, hotel, retail, and sports facility. Each building type was considered for both 5,000 and 10,000 square meter floor sizes. The energy consumption of these building types is based on building energy simulation and published literature. Based on the optimization results, energy conservation and the emissions reduction were also evaluated. Furthermore, a comparison study between Japan and the U.S. has been conducted covering the policy, technology and the utility tariffs effects on DER systems installations. This study begins with an examination of existing DER research. Building energy loads were then generated through simulation (DOE-2) and scaled to match available load data in the literature. Energy tariffs in Japan and the U.S. were then compared: electricity prices did not differ significantly, while commercial gas prices in Japan are much higher than in the U.S. For smaller DER systems, the installation costs in Japan are more than twice those in the U.S., but this difference becomes smaller with larger systems. In Japan, DER systems are eligible for a 1/3 rebate of installation costs, while subsidies in the U.S. vary significantly by region and application. For 10,000 m{sup 2} buildings, significant decreases in fuel consumption, carbon emissions, and energy costs were seen in the economically optimal results. This was most noticeable in the sports facility, followed the hospital and hotel. This research demonstrates that office buildings can benefit from CHP, in contrast to popular opinion. For hospitals and sports facilities, the use of waste heat is particularly effective for water and space heating. For the other building types, waste heat is most effectively use

  4. Distributed Low-Complexity Controller for Wind Power Plant in Derated Benjamin Biegel Daria Madjidian Vedrana Spudic Anders Rantzer Jakob Stoustrup

    E-Print Network [OSTI]

    sug- gest that wind turbines are well suited to provide frequency regulating services as the primary at low prices, possibly even negative prices [2]. The difficulties in integrating wind energy the available wind energy and the produced energy. A wind power plant with all turbines running in such delta

  5. UNDERLYING MOTIVATIONS FOR DELAWARE PUBLIC PARTICIPATION IN SUPPORT OF OFFSHORE WIND

    E-Print Network [OSTI]

    Firestone, Jeremy

    UNDERLYING MOTIVATIONS FOR DELAWARE PUBLIC PARTICIPATION IN SUPPORT OF OFFSHORE WIND: IMPLICATIONS PARTICIPATION IN SUPPORT OF OFFSHORE WIND: IMPLICATIONS FOR STATE ENERGY POLICY by Jacqueline D Piero Approved ................................................................................................. 3 Offshore wind: a new option in the United States.............................................. 4

  6. Commonwealth Wind Commercial Wind Program

    Broader source: Energy.gov [DOE]

    Through the Commonwealth Wind Incentive Program – Commercial Wind Initiative the Massachusetts Clean Energy Center (MassCEC) offers site assessment grants of services, feasibility study grants, a...

  7. Guidelines for Solar and Wind Local Ordinances (Virginia) | Department...

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

    wind. The law states that any local ordinance related to the siting of solar or wind energy facilities must: * Be consistent with the Commonwealth Energy Policy ( 67-102) *...

  8. New England Wind Forum: A Wind Powering America Project, Volume 1, Issue 4 -- May 2008 (Newsletter)

    SciTech Connect (OSTI)

    Grace, R. C.; Gifford, J.

    2008-05-01T23:59:59.000Z

    The New England Wind Forum electronic newsletter summarizes the latest news in wind energy development activity, markets, education, and policy in the New England region. It also features an interview with a key figure influencing New England's wind energy development. Volume 1, Issue 4 features an interview with Brian Fairbank, president and CEO of Jiminy Peak Mountain Resort.

  9. Global ocean wind power sensitivity to surface layer stability

    E-Print Network [OSTI]

    Capps, Scott B; Zender, Charles S

    2009-01-01T23:59:59.000Z

    Evaluation of global wind power, J. Geophys. Res. , 110,W. Tang, and X. Xie (2008), Wind power distribution over theApproach to Short-Term Wind Power Prediction, 1st ed. ,

  10. Wind Farm Aggregation Impact on Power Quality: Preprint

    SciTech Connect (OSTI)

    Bialasiewicz, J. T.; Muljadi, E.

    2006-11-01T23:59:59.000Z

    This paper explores the effects of wind farm power fluctuations on the power network. A dynamic simulation of a wind farm is performed and the spatial distribution of the wind turbines is considered.

  11. Use of synthetic aperture radar for offshore wind resource assessment and wind farm development in the UK 

    E-Print Network [OSTI]

    Cameron, Iain Dickson

    2008-01-01T23:59:59.000Z

    The UK has an abundant offshore wind resource with offshore wind farming set to grow rapidly over the coming years. Optimisation of energy production is of the utmost importance and accurate estimates of wind speed distributions are critical...

  12. WIND ENERGY Wind Energ. (2014)

    E-Print Network [OSTI]

    2014-01-01T23:59:59.000Z

    in the near wake. In conclusion, WiTTS performs satisfactorily in the rotor region of wind turbine wakes under neutral stability. Copyright © 2014 John Wiley & Sons, Ltd. KEYWORDS wind turbine wake; wake model; self in wind farms along several rows and columns. Because wind turbines generate wakes that propagate downwind

  13. Global empirical wind model for the upper mesosphere/lower thermosphere. I. Prevailing wind

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Global empirical wind model for the upper mesosphere/lower thermosphere. I. Prevailing wind Y. I. An updated empirical climatic zonally aver- aged prevailing wind model for the upper mesosphere/ lower of monthly mean winds from meteor radar and MF radar measurements at more than 40 stations, well distributed

  14. Policy brief The case for and against onshore

    E-Print Network [OSTI]

    Policy brief June 2012 The case for and against onshore wind energy in the UK Samuela Bassi, Alex and Policy can be found at: http://www.cccep.ac.uk #12;| 1The case for and against onshore wind energy contribute to the UK's energy mix? 7 3. What is the impact of onshore wind intermittency on the electricity

  15. Long-Term Wind Power Variability

    SciTech Connect (OSTI)

    Wan, Y. H.

    2012-01-01T23:59:59.000Z

    The National Renewable Energy Laboratory started collecting wind power data from large commercial wind power plants (WPPs) in southwest Minnesota with dedicated dataloggers and communication links in the spring of 2000. Over the years, additional WPPs in other areas were added to and removed from the data collection effort. The longest data stream of actual wind plant output is more than 10 years. The resulting data have been used to analyze wind power fluctuations, frequency distribution of changes, the effects of spatial diversity, and wind power ancillary services. This report uses the multi-year wind power data to examine long-term wind power variability.

  16. 2008 Wind Technologies Market Report

    SciTech Connect (OSTI)

    Wiser, R.; Bolinger, M.

    2009-07-01T23:59:59.000Z

    The U.S. wind industry experienced a banner year in 2008, once again surpassing even optimistic growth projections from years past. At the same time, the past year has been one of upheaval, with the global financial crisis impacting near-term growth prospects for the wind industry, and with significant federal policy changes enacted to push the industry toward continued aggressive expansion. This report examines key trends.

  17. Wind Farm

    Office of Energy Efficiency and Renewable Energy (EERE)

    The wind farm in Greensburg, Kansas, was completed in spring 2010, and consists of ten 1.25 megawatt (MW) wind turbines that supply enough electricity to power every house, business, and municipal...

  18. Wind Energy

    Broader source: Energy.gov [DOE]

    Presentation covers wind energy at the Federal Utility Partnership Working Group (FUPWG) meeting, held on November 18-19, 2009.

  19. Distributional Impacts of a U.S. Greenhouse Gas Policy: A General Equilibrium Analysis of Carbon Pricing

    E-Print Network [OSTI]

    Paltsev, Sergey

    We develop a new model of the U.S., the U.S. Regional Energy Policy (USREP) model that is resolved for large states and regions of the U.S. and by income class and apply the model to investigate a $15 per ton CO2 equivalent ...

  20. Wind Energy Ordinances (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-08-01T23:59:59.000Z

    Due to increasing energy demands in the United States and more installed wind projects, rural communities and local governments with limited or no experience with wind energy now have the opportunity to become involved in this industry. Communities with good wind resources may be approached by entities with plans to develop the resource. Although these opportunities can create new revenue in the form of construction jobs and land lease payments, they also create a new responsibility on the part of local governments to create ordinances to regulate wind turbine installations. Ordinances are laws, often found within municipal codes that provide various degrees of control to local governments. These laws cover issues such as zoning, traffic, consumer protection, and building codes. Wind energy ordinances reflect local needs and wants regarding wind turbines within county or city lines and aid the development of safe facilities that will be embraced by the community. Since 2008 when the National Renewable Energy Laboratory released a report on existing wind energy ordinances, many more ordinances have been established throughout the United States, and this trend is likely to continue in the near future as the wind energy industry grows. This fact sheet provides an overview of elements found in typical wind energy ordinances to educate state and local government officials, as well as policy makers.

  1. Policy Title: Policy Number: Facilities and

    E-Print Network [OSTI]

    Papautsky, Ian

    been supported by the federal government since that time. Indirect costs are also called "Facilities and Administrative" or F&A costs. These costs include facilities costs such as electricity, heating and airPolicy Title: Policy Number: Facilities and Administrative Distribution 2.1.11 Category: Financial

  2. Policy Title: Policy Number: Federal Student Aid

    E-Print Network [OSTI]

    Franco, John

    . All such officials shall further distribute the Code to their direct and indirect reports who havePolicy Title: Policy Number: Federal Student Aid Code of Conduct 1.3.3 Category: Administrative Office of the Bursar University of Cincinnati Federal Student Aid Code of Conduct, page 1 of 5 Background

  3. Community-Owned wind power development: The challenge of applying the European model in the United States, and how states are addressing that challenge

    E-Print Network [OSTI]

    Bolinger, Mark

    2004-01-01T23:59:59.000Z

    Funds Biomass and Innovative Wind Applications. LBNL.Small Distributed Wind Tariff and PPA, www.xcelenergy.com/Bolinger, M. 2001. Community Wind Power Ownership Schemes in

  4. Bayesian Policy Search with Policy Priors

    E-Print Network [OSTI]

    Wingate, David

    We consider the problem of learning to act in partially observable, continuous-state-and-action worlds where we have abstract prior knowledge about the structure of the optimal policy in the form of a distribution over ...

  5. Buildings Energy Efficiency Policy

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    Efficiency Wind Biomass Natural Gas Combined Cycle Nuclear Coal IGCC Photovoltaics RangeofBuildings Energy Efficiency Policy ­ A Brief History Steven Nadel Executive Director American Council for an Energy- Efficient Economy #12;U.S. Energy Use in Relation to GDP 1970-2008 0.0 50.0 100

  6. Orange County- Wind Permitting Standards

    Broader source: Energy.gov [DOE]

    In December 2010, the County of Orange Board of Supervisors adopted small wind performance and development standards (Ord. No. 10-020) in order to promote distributed generation systems in non...

  7. Wind shear climatology for large wind turbine generators

    SciTech Connect (OSTI)

    Elliott, D.L.; Wendell, L.L.; Heflick, S.K.

    1982-10-01T23:59:59.000Z

    Climatological wind shear analyses relevant to the design and operation of multimegawatt wind turbines are provided. Insight is provided for relating the wind experienced by a rotating blade in a shear flow to the analysis results. A simple analysis of the wind experienced by a rotating blade for three types of wind shear profiles under steady-state conditions is presented in graphical form. Comparisons of the magnitude and frequency of the variations in 1) the wind sensed by a single blade element, 2) the sum, and 3) the difference of the winds sensed by opposite blade elements show strong sensitivity to profile shape. These three items represent forcing functions that can be related to 1) flatwise bending moment, 2) torque on the shaft, and 3) teeter angle. A computer model was constructed to simulate rotational sampling of 10-s sampled winds from a tall tower for three different types of large wind turbines. Time series produced by the model indicated that the forcing functions on a rotating blade vary according to the shear profile encountered during each revolution as opposed to a profile derived from average wind conditions, e.g., hourly average winds. An analysis scheme was developed to establish a climatology of wind shear profiles derived from 10-s sampled winds and hourly average winds measured over a one-year period at several levels on a tall tower. Because of the sensitivity of the forcing function variability to profile shape, the analyses performed and presented are in the form of joint frequency distributions of velocity differences of the the top-to-hub versus the hub-to-bottom portion of disks of rotation for the three turbine configurations.

  8. Sandia National Laboratories: Wind

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

    Wind Grid System Planning for Wind: Wind Generator Modeling On June 11, 2014, in Wind generation continues to dominate the interconnection queues and the need for generic,...

  9. Assessment of Distributed Energy Adoption in Commercial Buildings: Part 1: An Analysis of Policy, Building Loads, Tariff Design, and Technology Development

    E-Print Network [OSTI]

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

    2005-01-01T23:59:59.000Z

    of Policy, Building loads, Tariff Design, and Technologyof Policy, Building loads, Tariff Design, and Technologygiven prevailing utility tariffs, site electrical and

  10. The U.S. wind production tax credit - evaluating its impact on wind deployment and assessing the cost of its renewal

    E-Print Network [OSTI]

    Ernst, Patrick C. (Patrick Charles)

    2013-01-01T23:59:59.000Z

    The desirability, viability, and cost effectiveness of policies designed to incentivize growth of the wind energy industry are subject to widespread debate within the U.S. government, wind industry groups, and the general ...

  11. Western Wind Strategy: Addressing Critical Issues for Wind Deployment

    SciTech Connect (OSTI)

    Douglas Larson; Thomas Carr

    2012-03-30T23:59:59.000Z

    The goal of the Western Wind Strategy project was to help remove critical barriers to wind development in the Western Interconnection. The four stated objectives of this project were to: (1) identify the barriers, particularly barriers to the operational integration of renewables and barriers identified by load-serving entities (LSEs) that will be buying wind generation, (2) communicate the barriers to state officials, (3) create a collaborative process to address those barriers with the Western states, utilities and the renewable industry, and (4) provide a role model for other regions. The project has been on the forefront of identifying and informing state policy makers and utility regulators of critical issues related to wind energy and the integration of variable generation. The project has been a critical component in the efforts of states to push forward important reforms and innovations that will enable states to meet their renewable energy goals and lower the cost to consumers of integrating variable generation.

  12. 2013 Distributed Wind Market Report

    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 EnergyofTheAcknowledgments

  13. 2013 Distributed Wind Market Report

    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 EnergyofTheAcknowledgments

  14. 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

  15. Administration Policy Complete Policy Title

    E-Print Network [OSTI]

    Haykin, Simon

    Administration Policy Complete Policy Title: McMaster University Alcohol Policy Policy Number, 1998 Supersedes/Amends Policy dated: May 11, 1998 Responsible Executive: Vice-President (Administration policy and the written copy held by the policy owner, the written copy prevails. INTRODUCTION Mc

  16. 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...

  17. 2009 Wind Technologies Market Report

    SciTech Connect (OSTI)

    Wiser, R.; Bolinger, M.

    2010-08-01T23:59:59.000Z

    The U.S. wind power industry experienced yet another record year in 2009, once again surpassing even optimistic growth projections from years past. At the same time, 2009 was a year of upheaval, with the global financial crisis impacting the wind power industry and with federal policy changes enacted to push the industry toward continued aggressive expansion. The year 2010, meanwhile, is anticipated to be one of some retrenchment, with expectations for fewer wind power capacity additions than seen in 2009. The rapid pace of development and change within the industry has made it difficult to keep up with trends in the marketplace, yet the need for timely, objective information on the industry and its progress has never been greater. This report - the fourth in an ongoing annual series - attempts to meet this need by providing a detailed overview of developments and trends in the United States wind power market, with a particular focus on 2009.

  18. Ris-R-1111(EN) Ultimate Loading of Wind Turbines

    E-Print Network [OSTI]

    Risø-R-1111(EN) Ultimate Loading of Wind Turbines Gunner Chr. Larsen, Knut Ronold, Hans E analysis as well as a wind turbine reliability study. In the wind climate analysis, the distribution to analyse wind turbine components with respect to failure in ultimate loading, and in addition to establish

  19. Labour's Social Policy Record: Policy, Spending

    E-Print Network [OSTI]

    Banaji,. Murad

    Hills, Kitty Stewart and Polly Vizard Research Report 1 June 2013 Social Policy in Cold Climate POVERTY in the UK since 2007, particularly their impact on the distribution of wealth, poverty, income inequality, charting their approach and assessing their impact on the distribution of outcomes and on poverty

  20. Offshore Wind Power USA

    Broader source: Energy.gov [DOE]

    The Offshore Wind Power USA conference provides the latest offshore wind market updates and forecasts.

  1. Mid-Atlantic Regional Wind Energy Institute

    SciTech Connect (OSTI)

    Courtney Lane

    2011-12-20T23:59:59.000Z

    As the Department of Energy stated in its 20% Wind Energy by 2030 report, there will need to be enhanced outreach efforts on a national, state, regional, and local level to communicate wind development opportunities, benefits and challenges to a diverse set of stakeholders. To help address this need, PennFuture was awarded funding to create the Mid-Atlantic Regional Wind Energy Institute to provide general education and outreach on wind energy development across Maryland, Virginia, Delaware, Pennsylvania and West Virginia. Over the course of the two-year grant period, PennFuture used its expertise on wind energy policy and development in Pennsylvania and expanded it to other states in the Mid-Atlantic region. PennFuture accomplished this through reaching out and establishing connections with policy makers, local environmental groups, health and economic development organizations, and educational institutions and wind energy developers throughout the Mid-Atlantic region. PennFuture conducted two regional wind educational forums that brought together wind industry representatives and public interest organizations from across the region to discuss and address wind development in the Mid-Atlantic region. PennFuture developed the agenda and speakers in collaboration with experts on the ground in each state to help determine the critical issue to wind energy in each location. The sessions focused on topics ranging from the basics of wind development; model ordinance and tax issues; anti-wind arguments and counter points; wildlife issues and coalition building. In addition to in-person events, PennFuture held three webinars on (1) Generating Jobs with Wind Energy; (2) Reviving American Manufacturing with Wind Power; and (3) Wind and Transmission. PennFuture also created a web page for the institute (http://www.midatlanticwind.org) that contains an online database of fact sheets, research reports, sample advocacy letters, top anti-wind claims and information on how to address them, wind and wildlife materials and sample model ordinances. Video and presentations from each in-person meeting and webinar recordings are also available on the site. At the end of the two-year period, PennFuture has accomplished its goal of giving a unified voice and presence to wind energy advocates in the Mid-Atlantic region. We educated a broad range of stakeholders on the benefits of wind energy and gave them the tools to help make a difference in their states. We grew a database of over 500 contacts and hope to continue the discussion and work around the importance of wind energy in the region.

  2. 20% Wind Energy 20% Wind Energy

    E-Print Network [OSTI]

    Powell, Warren B.

    (government, industry, utilities, NGOs) Analyzes wind's potential contributions to energy security, economic · Transmission a challenge #12;Wind Power Class Resource Potential Wind Power Density at 50 m W/m 2 Wind Speed20% Wind Energy by 2030 20% Wind Energy by 2030 #12;Presentation and Objectives Overview Background

  3. Wind Energy Leasing Handbook

    E-Print Network [OSTI]

    Balasundaram, Balabhaskar "Baski"

    Wind Energy Leasing Handbook Wind Energy Leasing Handbook E-1033 Oklahoma Cooperative Extension?..................................................................................................................... 31 What do wind developers consider in locating wind energy projects?............................................................................................ 37 How do companies and individuals invest in wind energy projects?....................................................................

  4. Wind | 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 &AppliancesYourAboutPoliciesWind

  5. Regulatory and technical barriers to wind energy integration in northeast China

    E-Print Network [OSTI]

    Davidson, Michael (Michael Roy)

    2014-01-01T23:59:59.000Z

    China leads the world in installed wind capacity, which forms an integral part of its long-term goals to reduce the environmental impacts of the electricity sector. This primarily centrally-managed wind policy has concentrated ...

  6. Main Coast Winds - Final Scientific Report

    SciTech Connect (OSTI)

    Jason Huckaby; Harley Lee

    2006-03-15T23:59:59.000Z

    The Maine Coast Wind Project was developed to investigate the cost-effectiveness of small, distributed wind systems on coastal sites in Maine. The restructuring of Maine's electric grid to support net metering allowed for the installation of small wind installations across the state (up to 100kW). The study performed adds insight to the difficulties of developing cost-effective distributed systems in coastal environments. The technical hurdles encountered with the chosen wind turbine, combined with the lower than expected wind speeds, did not provide a cost-effective return to make a distributed wind program economically feasible. While the turbine was accepted within the community, the low availability has been a negative.

  7. 7th International Workshop on Large-Scale Integration of Wind Power and on Transmission Networks for Offshore Wind Farms Models for HLI analysis of power systems with

    E-Print Network [OSTI]

    Bak-Jensen, Birgitte

    for Offshore Wind Farms 1 Models for HLI analysis of power systems with offshore wind farms and distributed power plants, distributed generation and offshore wind farms. Particular attention is paid to the latter]-[4], but there is a lack of models of offshore wind farms, which introduce new issues for their representation, due to some

  8. Essays on energy and environmental policy

    E-Print Network [OSTI]

    Novan, Kevin Michael

    2012-01-01T23:59:59.000Z

    on Electricity Dispatch Process . . . 1.2.2 Renewable Energy1 Valuing the Wind: Renewable Energy Policies and Air Pollu-2.3.3 Impact on the Value of Renewable Electricity . . 2.4

  9. POLICY: A:VPFA # / Purchasing Policy PROCEDURES

    E-Print Network [OSTI]

    Martin, Jeff

    POLICY: A:VPFA # / Purchasing Policy PROCEDURES: APPENDIX: Approved: April 1, 2013 Revised: Cross References: Purchasing Policy Capital Projects and Renovations Policy Conflict of Interest Policy Sustainability Policy Green Procurement Policy 1 of 9 PROCEDURES: Purchasing Policy AUTHORITY: University

  10. Winding Trail 

    E-Print Network [OSTI]

    Unknown

    2011-09-05T23:59:59.000Z

    During the past decade, the demand for clean renewable energy continues to rise drastically in Europe, the US, and other countries. Wind energy in the ocean can possibly be one of those future renewable clean energy sources as long...

  11. EA-1903: Kansas State University Zond Wind Energy Project, Manhattan, Kansas

    Broader source: Energy.gov [DOE]

    This EA evaluates the potential environmental impacts of a proposal to use Congressional Directed funds to develop the Great Plains Wind Energy Consortium aimed at increasing the penetration of wind energy via distributed wind power generation throughout the region.

  12. Examining the Variability of Wind Power Output in the Regulation Time Frame: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Shedd, S.; Florita, A.

    2012-08-01T23:59:59.000Z

    This work examines the distribution of changes in wind power for different time scales in the regulation time frame as well as the correlation of changes in power output for individual wind turbines in a wind plant.

  13. Analysis of Wind Power and Load Data at Multiple Time Scales

    E-Print Network [OSTI]

    Coughlin, Katie

    2011-01-01T23:59:59.000Z

    by a set of integrated wind farms increases, the behavior ofto the spatial distribution of wind farms and the total MW.line dates for the various wind farms were not provided, so

  14. Administration Policy Complete Policy Title

    E-Print Network [OSTI]

    Hitchcock, Adam P.

    Administration Policy Complete Policy Title: Engagement of Independent Contractors Policy Number of Original Approval: Supersedes/Amends Policy dated: Payments to Individuals (Independent Contractors) versus between this electronic policy and the written copy held by the policy owner, the written copy prevails

  15. Wind Energy Career Development Program

    SciTech Connect (OSTI)

    Gwen Andersen

    2012-03-29T23:59:59.000Z

    Saint Francis University has developed curriculum in engineering and in business that is meeting the needs of students and employers (Task 1) as well as integrating wind energy throughout the curriculum. Through a variety of approaches, the University engaged in public outreach and education that reached over 2,000 people annually (Task 2). We have demonstrated, through the success of these programs, that students are eager to prepare for emerging jobs in alternative energy, that employers are willing to assist in developing employees who understand the broader business and policy context of the industry, and that people want to learn about wind energy.

  16. Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet...

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

    Energy Benefits, Wind Powering America (WPA) (Fact Sheet), Wind And Water Power Program (WWPP) Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet), Wind And Water Power...

  17. SciTech Connect: U.S. Virgin Islands Wind Resources Update 2014

    Office of Scientific and Technical Information (OSTI)

    Integrated Deployment Country of Publication: United States Language: English Subject: 17 WIND ENERGY; 29 ENERGY PLANNING, POLICY AND ECONOMY; 24 POWER TRANSMISSION AND...

  18. Primer on Wind Power for Utility Applications

    SciTech Connect (OSTI)

    Wan, Y.

    2005-12-01T23:59:59.000Z

    The wind industry still faces many market barriers, some of which stem from utilities' lack of experience with the technology. Utility system operators and planners need to understand the effects of fluctuating wind power on system regulation and stability. Without high-frequency wind power data and realistic wind power plant models to analyze the problem, utilities often rely on conservative assumptions and worst-case scenarios to make engineering decisions. To remedy the situation, the National Renewable Energy Laboratory (NREL) has undertaken a project to record long-term, high-resolution (1-hertz [Hz]) wind power output data from large wind power plants in various regions. The objective is to systematically collect actual wind power data from large commercial wind power plants so that wind power fluctuations, their frequency distribution, the effects of spatial diversity, and the ancillary services of large commercial wind power plants can be analyzed. It also aims to provide the industry with nonproprietary wind power data in different wind regimes for system planning and operating impact studies. This report will summarize the results of data analysis performed at NREL and discuss the wind power characteristics related to power system operation and planning.

  19. Federal Wind Energy Assistance through NREL (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-09-01T23:59:59.000Z

    NREL assists with wind resource assessment and development activities initiated by federal agencies to facilitate distributed renewable energy projects at federal agency sites. This brief outlines the process for requesting NREL assistance with federal wind energy projects.

  20. Comparison of Feed in Tariff, Quota and Auction Mechanisms to Support Wind Power Development

    E-Print Network [OSTI]

    Butler, Lucy; Neuhoff, Karsten

    2006-03-14T23:59:59.000Z

    A comparison of policy instruments employed to support onshore wind projects suggests that in terms of capacity installed, policies adopted in Germany have been more effective than those adopted in the UK. Price comparisons have frequently...

  1. The role of hydroelectric generation in electric power systems with large scale wind generation

    E-Print Network [OSTI]

    Hagerty, John Michael

    2012-01-01T23:59:59.000Z

    An increasing awareness of the operational challenges created by intermittent generation of electricity from policy-mandated renewable resources, such as wind and solar, has led to increased scrutiny of the public policies ...

  2. Energy 101: Wind Turbines

    ScienceCinema (OSTI)

    None

    2013-05-29T23:59:59.000Z

    See how wind turbines generate clean electricity from the power of the wind. Highlighted are the various parts and mechanisms of a modern wind turbine.

  3. Energy 101: Wind Turbines

    SciTech Connect (OSTI)

    None

    2011-01-01T23:59:59.000Z

    See how wind turbines generate clean electricity from the power of the wind. Highlighted are the various parts and mechanisms of a modern wind turbine.

  4. Wind power and Wind power and

    E-Print Network [OSTI]

    Wind power and the CDM #12; Wind power and the CDM Emerging practices in developing wind power 2005 Jyoti P. Painuly, Niels-Erik Clausen, Jørgen Fenhann, Sami Kamel and Romeo Pacudan #12; WIND POWER AND THE CDM Emerging practices in developing wind power projects for the Clean Development Mechanism Energy

  5. Operational Impacts of Large Deployments of Offshore Wind (Poster)

    SciTech Connect (OSTI)

    Ibanez, E.; Heaney, M.

    2014-10-01T23:59:59.000Z

    The potential operational impact of deploying 54 GW of offshore wind in the United States was examined. The capacity was not evenly distributed; instead, it was concentrated in regions with better wind quality and close to load centers (Table 1). A statistical analysis of offshore wind power time series was used to assess the effect on the power system. The behavior of offshore wind resembled that of onshore wind, despite the former presenting higher capacity factors, more consistent power output across seasons, and higher variability levels. Thus, methods developed to manage onshore wind variability can be extended and applied to offshore wind.

  6. Wind turbine

    DOE Patents [OSTI]

    Cheney, Jr., Marvin C. (Glastonbury, CT)

    1982-01-01T23:59:59.000Z

    A wind turbine of the type having an airfoil blade (15) mounted on a flexible beam (20) and a pitch governor (55) which selectively, torsionally twists the flexible beam in response to wind turbine speed thereby setting blade pitch, is provided with a limiter (85) which restricts unwanted pitch change at operating speeds due to torsional creep of the flexible beam. The limiter allows twisting of the beam by the governor under excessive wind velocity conditions to orient the blades in stall pitch positions, thereby preventing overspeed operation of the turbine. In the preferred embodiment, the pitch governor comprises a pendulum (65,70) which responds to changing rotor speed by pivotal movement, the limiter comprising a resilient member (90) which engages an end of the pendulum to restrict further movement thereof, and in turn restrict beam creep and unwanted blade pitch misadjustment.

  7. auroral distribution implications: Topics by E-print Network

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

    These processes are important Adkins, Jess F. 23 UNIVERSITY OF CALIFORNIA, Surface Wind Speed Distributions: Implications for Climate and Wind Power Geosciences Websites Summary: ....

  8. Wind Power

    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 SpinPrincetonUsingWhat is abig world of tinyWind Industry SoarsWind

  9. Trade Policy

    E-Print Network [OSTI]

    Ashford, Nicholas A.

    2014-01-01T23:59:59.000Z

    In an otherwise insightful and thoughtful article, Sebastian Pfotenhauer (Trade Policy Is Science Policy,” Issues, Fall 2013) might better have entitled his contribution “Trade Policy Needs to Be Reconciled with Science ...

  10. EQUAL OPPORTUNITIES POLICY POLICY STATEMENT

    E-Print Network [OSTI]

    EQUAL OPPORTUNITIES POLICY POLICY STATEMENT Imperial College London is committed to a policy Resources (HR) has overall responsibility for the formulation, implementation and monitoring of the policy that this policy is effective by: · advising the College's senior management, other appropriate members of staff

  11. Security Policy

    Broader source: Energy.gov [DOE]

    The Office of Security Policy analyzes, develops and interprets safeguards and security policy governing national security functions and the protection of related critical assets entrusted to the...

  12. axis wind energy: Topics by E-print Network

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

    Magueijo 2005-02-11 366 Web tool for energy policy decision-making through geo-localized LCA models: A focus on offshore wind farms in Northern Europe Physics Websites Summary: 1...

  13. Wind Power: How Much, How Soon, and At What Cost?

    SciTech Connect (OSTI)

    Wiser, Ryan H; Hand, Maureen

    2010-01-01T23:59:59.000Z

    The global wind power market has been growing at a phenomenal pace, driven by favorable policies towards renewable energy and the improving economics of wind projects. On a going forward basis, utility-scale wind power offers the potential for significant reductions in the carbon footprint of the electricity sector. Specifically, the global wind resource is vast and, though accessing this potential is not costless or lacking in barriers, wind power can be developed at scale in the near to medium term at what promises to be an acceptable cost.

  14. Northwest Wind Integration Forum Policy Steering Committee

    E-Print Network [OSTI]

    Planning, Portland General Electric Company Mark Maher, CEO, Western Electricity Coordinating Council John Power and Conservation Council (Co-Chair) Steve Wright, Administrator and CEO, Bonneville Power Administration (Co-Chair) Paul Norman, Facilitator Jorge Carrasco, Superintendent, Seattle City Light Mike

  15. Final Scientific Report - Wind Powering America State Outreach Project

    SciTech Connect (OSTI)

    Sinclair, Mark; Margolis, Anne

    2012-02-01T23:59:59.000Z

    The goal of the Wind Powering America State Outreach Project was to facilitate the adoption of effective state legislation, policy, finance programs, and siting best practices to accelerate public acceptance and development of wind energy. This was accomplished by Clean Energy States Alliance (CESA) through provision of informational tools including reports and webinars as well as the provision of technical assistance to state leaders on wind siting, policy, and finance best practices, identification of strategic federal-state partnership activities for both onshore and offshore wind, and participation in regional wind development collaboratives. The Final Scientific Report - Wind Powering America State Outreach Project provides a summary of the objectives, activities, and outcomes of this project as accomplished by CESA over the period 12/1/2009 - 11/30/2011.

  16. Mid-Atlantic Wind - Overcoming the Challenges

    SciTech Connect (OSTI)

    Daniel F. Ancona III; Kathryn E. George; Richard P. Bowers; Dr. Lynn Sparling; Bruce Buckheit; Daniel LoBue

    2012-05-31T23:59:59.000Z

    This study, supported by the US Department of Energy, Wind Powering America Program, Maryland Department of Natural Resources and Chesapeake Bay Foundation, analyzed barriers to wind energy development in the Mid-Atlantic region along with options for overcoming or mitigating them. The Mid-Atlantic States including Delaware, Maryland, North Carolina and Virginia, have excellent wind energy potential and growing demand for electricity, but only two utility-scale projects have been installed to date. Reasons for this apathetic development of wind resources were analyzed and quantified for four markets. Specific applications are: 1) Appalachian mountain ridgeline sites, 2) on coastal plains and peninsulas, 3) at shallow water sites in Delaware and Chesapeake Bays, Albemarle and Pamlico Sounds, and 4) at deeper water sites off the Atlantic coast. Each market has distinctly different opportunities and barriers. The primary barriers to wind development described in this report can be grouped into four categories; state policy and regulatory issues, wind resource technical uncertainty, economic viability, and public interest in environmental issues. The properties of these typologies are not mutually independent and do interact. The report concluded that there are no insurmountable barriers to land-based wind energy projects and they could be economically viable today. Likewise potential sites in sheltered shallow waters in regional bay and sounds have been largely overlooked but could be viable currently. Offshore ocean-based applications face higher costs and technical and wind resource uncertainties. The ongoing research and development program, revision of state incentive policies, additional wind measurement efforts, transmission system expansion, environmental baseline studies and outreach to private developers and stakeholders are needed to reduce barriers to wind energy development.

  17. Mid-Atlantic Wind - Overcoming the Challenges

    SciTech Connect (OSTI)

    Daniel F. Ancona III; Kathryn E. George; Lynn Sparling; Bruce C. Buckheit; Daniel LoBue; and Richard P. Bowers

    2012-06-29T23:59:59.000Z

    This study, supported by the US Department of Energy, Wind Powering America Program, Maryland Department of Natural Resources and Chesapeake Bay Foundation, analyzed barriers to wind energy development in the Mid-Atlantic region along with options for overcoming or mitigating them. The Mid-Atlantic States including Delaware, Maryland, North Carolina and Virginia, have excellent wind energy potential and growing demand for electricity, but only two utility-scale projects have been installed to date. Reasons for this apathetic development of wind resources were analyzed and quantified for four markets. Specific applications are: 1) Appalachian mountain ridgeline sites, 2) on coastal plains and peninsulas, 3) at shallow water sites in Delaware and Chesapeake Bays, Albemarle and Pamlico Sounds, and 4) at deeper water sites off the Atlantic coast. Each market has distinctly different opportunities and barriers. The primary barriers to wind development described in this report can be grouped into four categories; state policy and regulatory issues, wind resource technical uncertainty, economic viability, and public interest in environmental issues. The properties of these typologies are not mutually independent and do interact. The report concluded that there are no insurmountable barriers to land-based wind energy projects and they could be economically viable today. Likewise potential sites in sheltered shallow waters in regional bay and sounds have been largely overlooked but could be viable currently. Offshore ocean-based applications face higher costs and technical and wind resource uncertainties. The ongoing research and development program, revision of state incentive policies, additional wind measurement efforts, transmission system expansion, environmental baseline studies and outreach to private developers and stakeholders are needed to reduce barriers to wind energy development.

  18. SMART Wind Consortium Virtual Meeting on Installation: Reducing...

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

    foster dialogue on actions to improve safety and efficiency and to reduce installation costs for distributed wind turbines. Gary Harcourt of Great Rock Windpower will discuss the...

  19. Sandia National Laboratories: Committee on Wind Turbine Availability

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

    Wind Turbine Availability Sandia Contributes to International Electrotechnical Commission IEC 61400-26 Availability Standard On June 12, 2014, in Analysis, Distribution Grid...

  20. Wind Technologies & Evolving Opportunities (Presentation)

    SciTech Connect (OSTI)

    Robichaud, R.

    2014-07-01T23:59:59.000Z

    This presentation covers opportunities for wind technology; wind energy market trends; an overview of the National Wind Technology Center near Boulder, Colorado; wind energy price and cost trends; wind turbine technology improvements; and wind resource characterization improvements.

  1. Essays in monetary policy

    E-Print Network [OSTI]

    Lakdawala, Aeimit Kirti

    2012-01-01T23:59:59.000Z

    Monetary Policy . . . . . . . . . . . . . . . . . . . 2.11.2.3 Optimal Policy . . . . . . . . . . . . . . . . . . .Monetary policy shocks . . . . . . . . . . . . . . .

  2. 2015 Iowa Wind Power Conference and Iowa Wind Energy Association...

    Energy Savers [EERE]

    2015 Iowa Wind Power Conference and Iowa Wind Energy Association Midwest Regional Energy Job Fair 2015 Iowa Wind Power Conference and Iowa Wind Energy Association Midwest Regional...

  3. Community Wind Handbook/Understand Your Wind Resource and Conduct...

    Open Energy Info (EERE)

    Conduct a Preliminary Estimate < Community Wind Handbook Jump to: navigation, search WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHCommunity Wind Handbook WindTurbine-icon.png...

  4. American Wind Energy Association Wind Energy Finance and Investment...

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

    American Wind Energy Association Wind Energy Finance and Investment Seminar American Wind Energy Association Wind Energy Finance and Investment Seminar October 20, 2014 8:00AM EDT...

  5. Expansion effects on solar wind hybrid simulations

    SciTech Connect (OSTI)

    Parashar, Tulasi N.; Velli, Marco; Goldstein, Bruce E. [NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109 (United States)

    2013-06-13T23:59:59.000Z

    Ion kinetic simulations of the solar wind using hybrid codes can model local wave input, heating and instabilities, but generally do not include long term evolution effects in the expanding solar wind. We further develop the expanding box model used in earlier studies to include the mirror force effects and study their role in the evolution of the proton distribution functions in the outer corona and inner heliosphere. The mirror force, significant in the acceleration region of the solar wind, is required for consistency with the conservation of magnetic moment of particles in the expanding wind. We present preliminary results from the modified 1D expanding box hybrid (EBHM) simulations.

  6. Observed and CAM3 GCM Sea Surface Wind

    E-Print Network [OSTI]

    Zender, Charles

    Observed and CAM3 GCM Sea Surface Wind Speed Distributions: Characterization, Comparison, and Bias climatological surface wind speed probability density functions (PDFs) estimated from observations and use them to evaluate, for the first time, contemporaneous wind PDFs predicted by a GCM. The ob- servations include NASA

  7. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    wind turbine components (specifically, generators, bladeschangers. ” Wind turbine components such as blades, towers,17%). Wind turbine component exports (towers, blades,

  8. LASER SAFETY POLICY Policy Statement

    E-Print Network [OSTI]

    Vertes, Akos

    LASER SAFETY POLICY Policy Statement Each department that acquires or operates lasers for use in the university's Laser Safety Manual. Reason for Policy/Purpose If improperly used or controlled, lasers can produce multiple injuries, including burns, blindness, and electrocution. This policy and the university

  9. Wind Energy Resource Assessment of the Caribbean and Central America

    SciTech Connect (OSTI)

    DL Elliott; CI Aspliden; GL Gower; CG Holladay, MN Schwartz

    1987-04-01T23:59:59.000Z

    A wind energy resource assessment of the Caribbean and Central America has identified many areas with good to outstanding wind resource potential for wind turbine applications. Annual average wind resource maps and summary tables have been developed for 35 island/country areas throughout the Caribbean and Central America region. The wind resource maps highlight the locations of major resource areas and provide estimates of the wind energy resource potential for typical well-exposed sites in these areas. The average energy in the wind flowing in the layer near the ground is expressed as a wind power class: the greater the average wind energy, the higher the wind power class. The summary tables that are included with each of the 35 island/country wind energy maps provide information on the frequency distribution of the wind speeds (expressed as estimates of the Weibull shape factor, k) and seasonal variations in the wind resource for the major wind resource areas identified on the maps. A new wind power class legend has been developed for relating the wind power classes to values of mean wind power density, mean wind speed, and Weibull k. Guidelines are presented on how to adjust these values to various heights above ground for different roughness and terrain characteristics. Information evaluated in preparing the assessment included existing meteorological data from airports and other weather stations, and from ships and buoys in offshore and coastal areas. In addition, new data from recent measurement sites established for wind energy siting studies were obtained for a few areas of the Caribbean. Other types of information evaluated in the assessment were climatological data and maps on winds aloft, surface pressure, air flow, and topography. The various data were screened and evaluated for their usefulness in preparing the wind resource assessment. Much of the surface data from airports and other land-based weather stations were determined to be from sheltered sites and were thus not very useful in assessing the wind resource at locations that are well exposed to the winds. Ship data were determined to be the most useful for estimating the large-scale wind flow and assessing the spatial distribution of the wind resource throughout the region. Techniques were developed for analyzing and correcting ship wind data and extrapolating these data to coastal and inland areas by considering terrain influences on the large-scale wind flow. In areas where extrapolation of ship wind data was not entirely feasible, such as interior areas of Central America, other techniques were developed for estimating the wind flow and distribution of the wind resource. Through the application of the various innovative techniques developed for assessing the wind resource throughout the Caribbean and Central America region, many areas with potentially good to outstanding wind resource were identified that had not been previously recognized. In areas where existing site data were available from exposed locations, the measured wind resource was compared with the estimated wind resource that was derived using the assessment techniques. In most cases, there was good agreement between the measured wind resource and the estimated wind resource. This assessment project supported activities being pursued by the U.S. Committee for Renewable Energy Commerce and Trade (CORECT), the U.S. government's interagency program to assist in overseas marketing and promote renewable energy exports. An overall goal of the program is to improve U.S. competitiveness in the world renewable energy market. The Caribbean and Central America assessment, which is the first of several possible follow-on international wind energy resource assessments, provides valuable information needed by the U.S. wind energy industry to identify suitable wind resource areas and concentrate their efforts on these areas.

  10. From%laggard%to%leader:%% Explaining%offshore%wind%developments%in%

    E-Print Network [OSTI]

    Sussex, University of

    From%laggard%to%leader:%% Explaining%offshore%wind%developments%in% the%UK% Florian!laggard!to!leader:!Explaining! offshore!wind!developments!in!the!UK! Florian Kern1* , Adrian Smith1 , Chris Shaw1 , Rob Raven2 and Bram for publication in Energy Policy, 19 Feb 2014 Abstract Offshore wind technology has recently undergone rapid

  11. New report assesses offshore wind technology challenges and potential risks and benefits.

    E-Print Network [OSTI]

    New report assesses offshore wind technology challenges and potential risks and benefits. The report estimates that U.S. offshore winds have a gross potential generating capacity four times greater wind resources can provide many potential benefits, and with effective research, policies

  12. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    Public Service Wind Integration Cost Impact Study. Preparedequipment-related wind turbine costs, the overall importinstalled wind power project costs, wind turbine transaction

  13. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    Public Service Wind Integration Cost Impact Study. Preparedinstalled wind power project costs, wind turbine transactionand components and wind turbine costs. Excluded from all

  14. Sandia National Laboratories: wind energy

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

    Wind Energy Manufacturing Lab Helps Engineers Improve Wind Power On November 15, 2011, in Energy, News, Partnership, Renewable Energy, Wind Energy Researchers at the Wind Energy...

  15. Module Handbook Specialisation Wind Energy

    E-Print Network [OSTI]

    Habel, Annegret

    ;Specialisation Wind Energy, NTU Athens, 2nd Semester Module 1/Wind Energy: Wind potential, Aerodynamics & Loading of Wind Turbines Module name: Wind potential, Aerodynamics & Loading of Wind Turbines Section Classes Evaluation of Wind Energy Potential Wind turbine Aerodynamics Static and dynamic Loading of Wind turbines

  16. Coastal Ohio Wind Project

    SciTech Connect (OSTI)

    Gorsevski, Peter; Afjeh, Abdollah; Jamali, Mohsin; Bingman, Verner

    2014-04-04T23:59:59.000Z

    The Coastal Ohio Wind Project intends to address problems that impede deployment of wind turbines in the coastal and offshore regions of Northern Ohio. The project evaluates different wind turbine designs and the potential impact of offshore turbines on migratory and resident birds by developing multidisciplinary research, which involves wildlife biology, electrical and mechanical engineering, and geospatial science. Firstly, the project conducts cost and performance studies of two- and three-blade wind turbines using a turbine design suited for the Great Lakes. The numerical studies comprised an analysis and evaluation of the annual energy production of two- and three-blade wind turbines to determine the levelized cost of energy. This task also involved wind tunnel studies of model wind turbines to quantify the wake flow field of upwind and downwind wind turbine-tower arrangements. The experimental work included a study of a scaled model of an offshore wind turbine platform in a water tunnel. The levelized cost of energy work consisted of the development and application of a cost model to predict the cost of energy produced by a wind turbine system placed offshore. The analysis found that a floating two-blade wind turbine presents the most cost effective alternative for the Great Lakes. The load effects studies showed that the two-blade wind turbine model experiences less torque under all IEC Standard design load cases considered. Other load effects did not show this trend and depending on the design load cases, the two-bladed wind turbine showed higher or lower load effects. The experimental studies of the wake were conducted using smoke flow visualization and hot wire anemometry. Flow visualization studies showed that in the downwind turbine configuration the wake flow was insensitive to the presence of the blade and was very similar to that of the tower alone. On the other hand, in the upwind turbine configuration, increasing the rotor blade angle of attack reduced the wake size and enhanced the vortices in the flow downstream of the turbine-tower compared with the tower alone case. Mean and rms velocity distributions from hot wire anemometer data confirmed that in a downwind configuration, the wake of the tower dominates the flow, thus the flow fields of a tower alone and tower-turbine combinations are nearly the same. For the upwind configuration, the mean velocity shows a narrowing of the wake compared with the tower alone case. The downwind configuration wake persisted longer than that of an upwind configuration; however, it was not possible to quantify this difference because of the size limitation of the wind tunnel downstream of the test section. The water tunnel studies demonstrated that the scale model studies could be used to adequately produce accurate motions to model the motions of a wind turbine platform subject to large waves. It was found that the important factors that affect the platform is whether the platform is submerged or surface piercing. In the former, the loads on the platform will be relatively reduced whereas in the latter case, the structure pierces the wave free surface and gains stiffness and stability. The other important element that affects the movement of the platform is depth of the sea in which the wind turbine will be installed. Furthermore, the wildlife biology component evaluated migratory patterns by different monitoring systems consisting of marine radar, thermal IR camera and acoustic recorders. The types of radar used in the project are weather surveillance radar and marine radar. The weather surveillance radar (1988 Doppler), also known as Next Generation Radar (NEXRAD), provides a network of weather stations in the US. Data generated from this network were used to understand general migratory patterns, migratory stopover habitats, and other patterns caused by the effects of weather conditions. At a local scale our marine radar was used to complement the datasets from NEXRAD and to collect additional monitoring parameters such as passage rates, flight paths, flight directi

  17. Hawaii Utility Integration Initiatives to Enable Wind (Wind HUI) Final Technical Report

    SciTech Connect (OSTI)

    Dora Nakafuji; Lisa Dangelmaier; Chris Reynolds

    2012-07-15T23:59:59.000Z

    To advance the state and nation toward clean energy, Hawaii is pursuing an aggressive Renewable Portfolio Standard (RPS), 40% renewable generation and 30% energy efficiency and transportation initiatives by 2030. Additionally, with support from federal, state and industry leadership, the Hawaii Clean Energy Initiative (HCEI) is focused on reducing Hawaii's carbon footprint and global warming impacts. To keep pace with the policy momentum and changing industry technologies, the Hawaiian Electric Companies are proactively pursuing a number of potential system upgrade initiatives to better manage variable resources like wind, solar and demand-side and distributed generation alternatives (i.e. DSM, DG). As variable technologies will continue to play a significant role in powering the future grid, practical strategies for utility integration are needed. Hawaiian utilities are already contending with some of the highest penetrations of renewables in the nation in both large-scale and distributed technologies. With island grids supporting a diverse renewable generation portfolio at penetration levels surpassing 40%, the Hawaiian utilities experiences can offer unique perspective on practical integration strategies. Efforts pursued in this industry and federal collaborative project tackled challenging issues facing the electric power industry around the world. Based on interactions with a number of western utilities and building on decades of national and international renewable integration experiences, three priority initiatives were targeted by Hawaiian utilities to accelerate integration and management of variable renewables for the islands. The three initiatives included: Initiative 1: Enabling reliable, real-time wind forecasting for operations by improving short-term wind forecasting and ramp event modeling capabilities with local site, field monitoring; Initiative 2: Improving operators situational awareness to variable resources via real-time grid condition monitoring using PMU devices and enhanced grid analysis tools; and Initiative 3: Identifying grid automation and smart technology architecture retrofit/improvement opportunities following a systematic review approach, inclusive of increasing renewables and variable distributed generation. Each of the initiative was conducted in partnership with industry technology and equipment providers to facilitate utility deployment experiences inform decision making, assess supporting infrastructure cost considerations, showcase state of the technology, address integration hurdles with viable workarounds. For each initiative, a multi-phased approach was followed that included 1) investigative planning and review of existing state-of-the-art, 2) hands on deployment experiences and 3) process implementation considerations. Each phase of the approach allowed for mid-course corrections, process review and change to any equipment/devices to be used by the utilities. To help the island grids transform legacy infrastructure, the Wind HUI provided more systematic approaches and exposure with vendor/manufacturers, hand-on review and experience with the equipment not only from the initial planning stages but through to deployment and assessment of field performance of some of the new, remote sensing and high-resolution grid monitoring technologies. HELCO became one of the first utilities in the nation to install and operate a high resolution (WindNet) network of remote sensing devices such as radiometers and SODARs to enable a short-term ramp event forecasting capability. This utility-industry and federal government partnership produced new information on wind energy forecasting including new data additions to the NOAA MADIS database; addressed remote sensing technology performance and O&M (operations and maintenance) challenges; assessed legacy equipment compatibility issues and technology solutions; evaluated cyber-security concerns; and engaged in community outreach opportunities that will help guide Hawaii and the nation toward more reliable adoption of clean energy resources. Resu

  18. The potential for distributed generation in Japanese prototype buildings: A DER-CAM analysis of policy, tariff design, building energy use, and technology development (English Version)

    E-Print Network [OSTI]

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

    2004-01-01T23:59:59.000Z

    CAM Analysis of Policy, Tariff Design, Building Energy Use,14 3.3 Comparison of Utility Tariffs in Japan and the14 Table 4: Electricity Tariffs at Several Facilities in the

  19. Wind 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 ScienceandMesa del SolStrengtheningWildfires may contribute more to global warmingGlobal »Wind

  20. Wind Power

    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 >Internship Program TheSiteEurekaWeekly UserWhat's New Today aboutWind

  1. Wind Development on Tribal Lands

    SciTech Connect (OSTI)

    Ken Haukaas; Dale Osborn; Belvin Pete

    2008-01-18T23:59:59.000Z

    Background: The Rosebud Sioux Tribe (RST) is located in south central South Dakota near the Nebraska border. The nearest community of size is Valentine, Nebraska. The RST is a recipient of several Department of Energy grants, written by Distributed Generation Systems, Inc. (Disgen), for the purposes of assessing the feasibility of its wind resource and subsequently to fund the development of the project. Disgen, as the contracting entity to the RST for this project, has completed all the pre-construction activities, with the exception of the power purchase agreement and interconnection agreement, to commence financing and construction of the project. The focus of this financing is to maximize the economic benefits to the RST while achieving commercially reasonable rates of return and fees for the other parties involved. Each of the development activities required and its status is discussed below. Land Resource: The Owl Feather War Bonnet 30 MW Wind Project is located on RST Tribal Trust Land of approximately 680 acres adjacent to the community of St. Francis, South Dakota. The RST Tribal Council has voted on several occasions for the development of this land for wind energy purposes, as has the District of St. Francis. Actual footprint of wind farm will be approx. 50 acres. Wind Resource Assessment: The wind data has been collected from the site since May 1, 2001 and continues to be collected and analyzed. The latest projections indicate a net capacity factor of 42% at a hub height of 80 meters. The data has been collected utilizing an NRG 9300 Data logger System with instrumentation installed at 30, 40 and 65 meters on an existing KINI radio tower. The long-term annual average wind speed at 65-meters above ground level is 18.2 mph (8.1 mps) and 18.7 mph (8.4 mps) at 80-meters agl. The wind resource is excellent and supports project financing.

  2. Policy-Based Autonomic Control Service

    E-Print Network [OSTI]

    Badr, N.

    Badr,N. Reilly,D. Taleb-Bendiab,A. Proceedings of the Fifth IEEE International Workshop on Policies for Distributed Systems and Networks (POLICYâ??04) pp 4

  3. Policies and Programs | Department of Energy

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

    options, interconnection processes, and others. Learn more about distributed generation policies and programs. Renewable Energy: Utility-Scale Image of power lines....

  4. Wind Vision: Updating the DOE 20% Wind Energy by 2030 Report (Poster)

    SciTech Connect (OSTI)

    Baring-Gould, E. I.

    2014-04-01T23:59:59.000Z

    The 20% Wind Energy by 2030 report was developed as part of the Advanced Energy Initiative. Published in 2008, the report was largely based on information collected and analyzed in 2006. Much has changed since then, including shifts in technology, markets, and policy. The industry needs a new, clear, vision for wind power that is shared among stakeholders from the U.S. government, industry, academia, and NGO communities. At WINDPOWER 2013, the U.S. Department of Energy, in partnership with the American Wind Energy Association and the Wind Energy Foundation, launched a project to update the 20% report with new objectives. This conference poster outlines the elements of the new Wind Vision.

  5. Wind Power Today

    SciTech Connect (OSTI)

    Not Available

    2006-05-01T23:59:59.000Z

    Wind Power Today is an annual publication that provides an overview of the wind energy research conducted by the U.S. Department of Energy Wind and Hydropower Technologies Program.

  6. Wind Power Today

    SciTech Connect (OSTI)

    Not Available

    2007-05-01T23:59:59.000Z

    Wind Power Today is an annual publication that provides an overview of the wind energy research conducted by the U.S. Department of Energy Wind and Hydropower Technologies Program.

  7. Sunflower Wind Farm EA

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

    Sunflower Wind Farm EA Sunflower Wind Farm Draft EA (25mb pdf) Note: If you have problems downloading this file, pelase contact Lou Hanebury at (406) 255-2812 Sunflower Wind Farm...

  8. Wind/Hydro Study

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

    WindHydro Integration Feasibility Study Announcements (Updated July 8, 2010) The Final WindHydro Integration Feasibility Study Report, dated June 2, 2009, has been submitted to...

  9. Wind energy bibliography

    SciTech Connect (OSTI)

    None

    1995-05-01T23:59:59.000Z

    This bibliography is designed to help the reader search for information on wind energy. The bibliography is intended to help several audiences, including engineers and scientists who may be unfamiliar with a particular aspect of wind energy, university researchers who are interested in this field, manufacturers who want to learn more about specific wind topics, and librarians who provide information to their clients. Topics covered range from the history of wind energy use to advanced wind turbine design. References for wind energy economics, the wind energy resource, and environmental and institutional issues related to wind energy are also included.

  10. Wind Turbine Tribology Seminar

    Broader source: Energy.gov [DOE]

    Wind turbine reliability issues are often linked to failures of contacting components, such as bearings, gears, and actuators. Therefore, special consideration to tribological design in wind...

  11. Commonwealth Wind Incentive Program – Micro Wind Initiative

    Broader source: Energy.gov [DOE]

    Through the Commonwealth Wind Incentive Program – Micro Wind Initiative the Massachusetts Clean Energy Center (MassCEC) offers rebates of up to $4/W with a maximum of $130,000 for design and...

  12. New England Wind Forum, Volume 1, Issue 1 -- January 2006

    SciTech Connect (OSTI)

    Not Available

    2006-01-01T23:59:59.000Z

    The New England Wind Forum electronic newsletter summarizes the latest news in wind energy development activity, markets, education and policy in the New England region. It also features an interview with a key figure influencing New England's wind energy development. Volume 1, Issue 1 features an interview with Brother Joseph of Portsmouth Abbey. A commercial-scale Vestas V47 wind turbine will soon be installed on the grounds of the Benedictine monastery and prep school in Rhode Island, with the assistance of a grant from the Rhode Island Renewable Energy Fund. This will be the first large-scale turbine located behind the customer meter in the region.

  13. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    States. Specifically, Bluewater Wind and Delmarva PowerLLC Babcock & Brown Acquisition Bluewater Wind Good Energies

  14. INTERIM POLICY JANUARY 9, 2004

    E-Print Network [OSTI]

    Chen, Tsuhan

    INTERIM POLICY JANUARY 9, 2004 CORNELL UNIVERSITY POLICY LIBRARY Health and Safety POLICY 2 _________________________________________________________________________________________________________________________________________________ POLICY STATEMENT. _________________________________________________________________________________________________________________________________________________ REASON FOR POLICY

  15. accelerating policy decisions: Topics by E-print Network

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

    Tiongson 2012-01-01 56 Web tool for energy policy decision-making through geo-localized LCA models: A focus on offshore wind farms in Northern Europe Physics Websites Summary: 1...

  16. Wind Resource Assessment in Europe Using Emergy

    E-Print Network [OSTI]

    Paudel, Subodh; Santarelli, Massimo; Martin, Viktoria; Lacarriere, Bruno; Le Corre, Olivier

    2014-01-01T23:59:59.000Z

    mance characteristics of wind generator. The wind speed atcharacteristics of the wind generator. When wind speed is

  17. CERNA WORKING PAPER SERIES Does foreign environmental policy influence domestic innovation ?

    E-Print Network [OSTI]

    Boyer, Edmond

    renewable energy policies on innovation activity in wind power using patent data from OECD countries from energy policies, wind power Grantham Research Institute on Climate Change and the Environment, London papers show that higher energy prices induce innovation in energy-efficient technologies (Newell et al

  18. Student Conduct Code Policies & Procedures 201415

    E-Print Network [OSTI]

    Mojzsis, Stephen J.

    , using, providing, manufacturing, distributing or selling drugs or drug paraphernalia in violation of law or university policies. 24. Possessing, using, providing, manufacturing, distributing or selling alcoholic. Additional Information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 L. Related Information

  19. Advanced Coal Wind Hybrid: Economic Analysis

    E-Print Network [OSTI]

    Phadke, Amol

    2008-01-01T23:59:59.000Z

    Wind Generation2006. “ Integrating Wind Generation into Utility Systems”.Stand-Alone Wind Generation . 60

  20. Howard County- Wind Ordinance

    Broader source: Energy.gov [DOE]

    This ordinance sets up provisions for allowing small wind energy systems in various zoning districts.

  1. Tribal Wind Assessment by the Eastern Shoshone Tribe of the Wind River Reservation

    SciTech Connect (OSTI)

    Pete, Belvin; Perry, Jeremy W.; Stump, Raphaella Q.

    2009-08-28T23:59:59.000Z

    The Tribes, through its consultant and advisor, Distributed Generation Systems (Disgen) -Native American Program and Resources Division, of Lakewood CO, assessed and qualified, from a resource and economic perspective, a wind energy generation facility on tribal lands. The goal of this feasibility project is to provide wind monitoring and to engage in preproject planning activities designed to provide a preliminary evaluation of the technical, economic, social and environmental feasibility of developing a sustainable, integrated wind energy plan for the Eastern Shoshone and the Northern Arapahoe Tribes, who resides on the Wind River Indian Reservation. The specific deliverables of the feasibility study are: 1) Assessments of the wind resources on the Wind River Indian Reservation 2) Assessments of the potential environmental impacts of renewable development 3) Assessments of the transmission capacity and capability of a renewable energy project 4) Established an economic models for tribal considerations 5) Define economic, cultural and societal impacts on the Tribe

  2. Siting guidelines for utility application of wind turbines. Final report

    SciTech Connect (OSTI)

    Pennell, W.T.

    1983-01-01T23:59:59.000Z

    Utility-oriented guidelines are described for identifying viable sites for wind turbines. Topics and procedures are also discussed that are important in carrying out a wind turbine siting program. These topics include: a description of the Department of Energy wind resource atlases; procedures for predicting wind turbine performance at potential sites; methods for analyzing wind turbine economics; procedures for estimating installation and maintenance costs; methods for anlayzing the distribution of wind resources over an area; and instrumentation for documenting wind behavior at potential sites. The procedure described is applicable to small and large utilities. Although the procedure was developed as a site-selection tool, it can also be used by a utility who wishes to estimate the potential for wind turbine penetration into its future generation mix.

  3. Enrichment of the High-Redshift IGM by Galactic Winds

    E-Print Network [OSTI]

    A. Aguirre; J. Schaye; L. Hernquist; D. Weinberg; N. Katz; J. Gardner

    2001-09-17T23:59:59.000Z

    This paper discusses a semi-numerical method of investigating the enrichment of the intergalactic medium by galactic winds. We find that most galaxies at z >~ 3 should be driving winds, and that (if these winds are similar to those at low-z) these winds should escape to large distances. Our calculations -- which permit exploration of a large region of model parameter space -- indicate that the wind velocity, the mass of the wind-driving galaxies, the fraction of ambient material entrained, and the available time (between wind launch and the observed redshift) all affect wind propagation significantly; other physical effects can be important but are sub-dominant. We find that under reasonable assumptions, the enrichment by 3 enrichment is compatible with the intergalactic medium's detailed metal distribution or relative quiescence.

  4. The iPhone Goes Downstream: Mandatory Universal Distribution?

    E-Print Network [OSTI]

    Karp, Larry; Perloff, Jeffrey

    2011-01-01T23:59:59.000Z

    ufacturers’ Choice of Distribution Policy under Successivemandatory universal distribution Larry Karp and JeffreyMandatory Universal Distribution ? Larry S. Karp † Jeffrey

  5. Wind energy offers considerable promise; the wind itself is free,

    E-Print Network [OSTI]

    Langendoen, Koen

    Wind energy offers considerable promise; the wind itself is free, wind power is clean. One of these sources, wind energy, offers considerable promise; the wind itself is free, wind power is clean, and it is virtually inexhaustible. In recent years, research on wind energy has accelerated

  6. Estimation of Wind Speed in Connection to a Wind Turbine

    E-Print Network [OSTI]

    Estimation of Wind Speed in Connection to a Wind Turbine X. Ma #3; , N. K. Poulsen #3; , H. Bindner y December 20, 1995 Abstract The wind speed varies over the rotor plane of wind turbine making the wind speed on the rotor plane will be estimated by using a wind turbine as a wind measuring device

  7. Energy Policy 35 (2007) 91111 Simulating price patterns for tradable green certificates to promote

    E-Print Network [OSTI]

    Ford, Andrew

    2007-01-01T23:59:59.000Z

    Energy Policy 35 (2007) 91­111 Simulating price patterns for tradable green certificates to promote to these high prices with construction of new wind capacity. After a few years, wind generation meets the market opens. Investors react to these high prices with construction of new wind capacity, and total

  8. Operational risk of a wind farm energy production by Extreme Value Theory and Copulas

    E-Print Network [OSTI]

    D'Amico, Guglielmo; Prattico, Flavio

    2014-01-01T23:59:59.000Z

    In this paper we use risk management techniques to evaluate the potential effects of those operational risks that affect the energy production of a wind farm. We concentrate our attention on three major risk factors: wind speed uncertainty, wind turbine reliability and interactions of wind turbines due mainly to their placement. As a first contribution, we show that the Weibull distribution, commonly used to fit recorded wind speed data, underestimates rare events. Therefore, in order to achieve a better estimation of the tail of the wind speed distribution, we advance a Generalized Pareto distribution. The wind turbines reliability is considered by modeling the failures events as a compound Poisson process. Finally, the use of Copula able us to consider the correlation between wind turbines that compose the wind farm. Once this procedure is set up, we show a sensitivity analysis and we also compare the results from the proposed procedure with those obtained by ignoring the aforementioned risk factors.

  9. English Language Policy 1 English Language Policy

    E-Print Network [OSTI]

    University of Technology, Sydney

    English Language Policy 1 English Language Policy Abstract This policy sets out UTS's requirements their courses of study. Dates Policy or amendment approved Policy or amendment takes effect Policy is due for review (up to 5 years) 03/11/2010 22/11/2010 11/2015 Policy amendment approved 02/11/2011 Approved

  10. Wind emission of OB supergiants and the influence of clumping

    E-Print Network [OSTI]

    Michaela Kraus; Jiri Kubat; Jiri Krticka

    2007-08-06T23:59:59.000Z

    The influence of the wind to the total continuum of OB supergiants is discussed. For wind velocity distributions with \\beta > 1.0, the wind can have strong influence to the total continuum emission, even at optical wavelengths. Comparing the continuum emission of clumped and unclumped winds, especially for stars with high \\beta values, delivers flux differences of up to 30% with maximum in the near-IR. Continuum observations at these wavelengths are therefore an ideal tool to discriminate between clumped and unclumped winds of OB supergiants.

  11. Password Policy

    E-Print Network [OSTI]

    Password Policy. All of the following sets of rules must be met: passwords must be between 8 and 127 characters inclusive; passwords must contain at least one

  12. Calculator Policy

    E-Print Network [OSTI]

    charlotb

    2014-08-15T23:59:59.000Z

    MA 15300 Calculator Policy. ONLY a TI-30Xa scientific calculator is allowed on quizzes and exams. If you have questions, please email the course coordinator ...

  13. Calculator Policy

    E-Print Network [OSTI]

    charlotb

    2014-12-17T23:59:59.000Z

    MA 15910 Calculator Policy. ONLY a TI-30Xa scientific calculator is allowed on quizzes and exams. If you have questions, please email the course coordinator ...

  14. Calculator Policy

    E-Print Network [OSTI]

    charlotb

    2014-08-24T23:59:59.000Z

    MA 16010 -- CALCULATOR POLICY. A ONE-LINE scientific calculator is REQUIRED. No other calculator is allowed. RECOMMENDED: TI-30Xa calculator

  15. Energy Policy ] (

    E-Print Network [OSTI]

    Cañizares, Claudio A.

    to the locational marginal prices of several pricing points in the New England, New York, and PJM electricityEnergy Policy ] (

  16. Energy Policy

    Broader source: Energy.gov [DOE]

    The Energy Department is focusing on an all-of-the-above energy policy, investing in all sources of American energy.

  17. Collegiate Wind Competition Engages Tomorrow's Wind Energy Innovators...

    Office of Environmental Management (EM)

    Engages Tomorrow's Wind Energy Innovators Collegiate Wind Competition Engages Tomorrow's Wind Energy Innovators January 6, 2014 - 10:00am Addthis 2014 Collegiate Teams Boise State...

  18. 20% Wind Energy by 2030: Increasing Wind Energy's Contribution...

    Energy Savers [EERE]

    : Increasing Wind Energy's Contribution to U.S. Electricity Supply (Executive Summary) 20% Wind Energy by 2030: Increasing Wind Energy's Contribution to U.S. Electricity Supply...

  19. National Wind Technology Center (Fact Sheet), National Wind Technology...

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

    NATIONAL WIND TECHNOLOGY CENTER www.nrel.govwind Wind energy is one of the fastest growing electricity generation sources in the world. NREL's National Wind Technology Center...

  20. Sinomatech Wind Power Blade aka Sinoma Science Technology Wind...

    Open Energy Info (EERE)

    Sinomatech Wind Power Blade aka Sinoma Science Technology Wind Turbine Blade Co Ltd Jump to: navigation, search Name: Sinomatech Wind Power Blade (aka Sinoma Science & Technology...

  1. An introduction to the small wind turbine project

    SciTech Connect (OSTI)

    Forsyth, T.L.

    1997-07-01T23:59:59.000Z

    Small wind turbines are typically used for the remote or rural areas of the world including: a village in Chile; a cabin dweller in the U.S.; a farmer who wants to water his crop; or a utility company that wants to use distributed generation to help defer building new transmission lines and distribution facilities. Small wind turbines can be used for powering communities, businesses, homes, and miscellaneous equipment to support unattended operation. This paper covers the U.S. Department of Energy/National Renewable Energy Laboratory Small Wind Turbine project, its specifications, its applications, the subcontractors and their small wind turbines concepts. 4 refs., 4 figs.

  2. Sandia Energy - Sandia Wind Turbine Loads Database

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

    Sandia Wind Turbine Loads Database Home Stationary Power Energy Conversion Efficiency Wind Energy Resources Wind Software Downloads Sandia Wind Turbine Loads Database Sandia Wind...

  3. NREL: Wind Research - Small and Distributed Wind Turbine Research

    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 VisitSilver Toyota Prius being drivenand Development

  4. 2014 WIND POWER PROGRAM PEER REVIEW-DISTRIBUTED WIND

    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 VehicleSessionOffice44DepartmentAnalysis

  5. Sandia National Laboratories: Wind Power

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

    Wind Energy Staff On March 24, 2011, in Wind Energy On November 10, 2010, in Wind Plant Opt. Rotor Innovation Materials, Reliability & Standards Siting & Barrier Mitigation...

  6. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    the Impact of Significant Wind Generation Facilities on BulkOperations Impacts of Wind Generation Integration Study.Impacts of Integrating Wind Generation into Idaho Power's

  7. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    Operations Impacts of Wind Generation Integration Study.Impacts of Integrating Wind Generation into Idaho Power's2008. Analysis of Wind Generation Impact on ERCOT Ancillary

  8. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    the Impact of Significant Wind Generation Facilities on BulkOperations Impacts of Wind Generation Integration Study.Impacts of Integrating Wind Generation into Idaho Power's

  9. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    Operations Impacts of Wind Generation Integration Study.Impacts of Integrating Wind Generation into Idaho Power'sthe Impact of Significant Wind Generation Facilities on Bulk

  10. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    Prepared for the Utility Wind Integration Group. Arlington,Consult. 2010. International Wind Energy Development: WorldUBS Global I/O: Global Wind Sector. UBS Investment Research.

  11. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    2008. Washington, DC: American Wind Energy Association.American Wind Energy Association ( AWEA).2009b. AWEA Small Wind Turbine Global Market Study: Year

  12. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    Table 8 Figure 30. Wind Integration Costs at Various LevelsOperations and Maintenance Costs Wind project operations andPublic Service Wind Integration Cost Impact Study. Prepared

  13. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    wind turbine components (specifically, generators, bladeschangers. ” Wind turbine components such as blades, towers,Canada (8%). Wind turbine component exports (towers, blades,

  14. 2012 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2014-01-01T23:59:59.000Z

    with the section on offshore wind; Donna Heimiller and Billyof 2012, global cumulative offshore wind capacity stood ats (DOE’s) investments in offshore wind energy research and

  15. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    charging wind power projects for balancing services. 81 BPA,in balancing reserves with increased wind power penetrationin balancing reserves with increased wind power penetration

  16. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    charging wind power projects for balancing services. 88 BPA,in balancing reserves with increased wind power penetrationin balancing reserves with increased wind power penetration

  17. 2012 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2014-01-01T23:59:59.000Z

    Xcel Energy. 2011. Wind Induced Coal Plant Cyclingand the Implications of Wind Curtailment for Public Serviceof Colorado 2 GW and 3 GW Wind Integration Cost Study.

  18. Wind Farms in North America

    E-Print Network [OSTI]

    Hoen, Ben

    2014-01-01T23:59:59.000Z

    Opinion About Large Offshore Wind Power: Underlying Factors.Delaware Opinion on Offshore Wind Power - Interim Report.Newark, DE. 16 pages. Global Wind Energy Council (GWEC) (

  19. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    2011. In March 2011, NRG Bluewater Wind?s Delaware projectPurchaser Delmarva NRG Bluewater Wind (Delaware) Universitythe project, while NRG Bluewater would retain the remaining

  20. WIND DATA REPORT Nantucket, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Nantucket, MA June 1st 2006 to August 31th 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed D

  1. WIND DATA REPORT Brewster, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Brewster, Massachusetts December 1, 2005 - February 28, 2006 Prepared.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 12 Wind Speed Di

  2. WIND DATA REPORT Brewster, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Brewster, Massachusetts June 1, 2006 - August 31, 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Di

  3. WIND DATA REPORT September 2005

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Lynn, MA September 2005 Prepared for Massachusetts Technology Collaborative 75.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Monthly Average Wind Speeds

  4. WIND DATA REPORT Brewster, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Brewster, Massachusetts March 1, 2006 - May 31, 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributi

  5. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    studies show that wind energy integration costs are below $do not represent wind energy generation costs. This sectioncomponent of the overall cost of wind energy, but can vary

  6. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    do not represent wind energy generation costs. Based on thisproduction-cost reduction value of wind energy, without anwith wind energy. Generally, these costs are associated with

  7. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    Market Report vii potential wind energy generation withinthat nearly 8% of potential wind energy generation withinAreas, in GWh (and % of potential wind generation) Electric

  8. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    capacity), with 17% of all potential wind energy generationthat roughly 17% of potential wind energy generation withinexample, roughly 1% of potential wind energy output in 2009

  9. Q-Winds satellite hurricane wind retrievals and H*Wind comparisons

    E-Print Network [OSTI]

    Hennon, Christopher C.

    of the hurricane surface winds from NOAA and U.S. Air Force Weather Squadron aircraft flights. Further, results1 Q-Winds satellite hurricane wind retrievals and H*Wind comparisons Pet Laupattarakasem and W This paper presents a new hurricane ocean vector wind (OVW) product known as Q-Winds produced from the SeaWinds

  10. Evaluation of Global Onshore Wind Energy Potential and Generation Costs

    SciTech Connect (OSTI)

    Zhou, Yuyu; Luckow, Patrick; Smith, Steven J.; Clarke, Leon E.

    2012-06-20T23:59:59.000Z

    In this study, we develop an updated global estimate of onshore wind energy potential using reanalysis wind speed data, along with updated wind turbine technology performance and cost assumptions as well as explicit consideration of transmission distance in the calculation of transmission costs. We find that wind has the potential to supply a significant portion of world energy needs, although this potential varies substantially by region as well as with assumptions such as on what types of land can be used to site wind farms. Total global wind potential under central assumptions is estimated to be approximately 89 petawatt hours per year at less than 9 cents/kWh with substantial regional variations. One limitation of global wind analyses is that the resolution of current global wind speed reanalysis data can result in an underestimate of high wind areas. A sensitivity analysis of eight key parameters is presented. Wind potential is sensitive to a number of input parameters, particularly those related to land suitability and turbine density as well as cost and financing assumptions which have important policy implications. Transmission cost has a relatively small impact on total wind costs, changing the potential at a given cost by 20-30%. As a result of sensitivities studied here we suggest that further research intended to inform wind supply curve development focus not purely on physical science, such as better resolved wind maps, but also on these less well-defined factors, such as land-suitability, that will also have an impact on the long-term role of wind power.

  11. Incorporating Wind Generation in Cap and Trade Programs

    SciTech Connect (OSTI)

    Bluestein, J.; Salerno, E.; Bird, L.; Vimmerstedt, L.

    2006-07-01T23:59:59.000Z

    Cap and trade programs are increasingly being used to reduce emissions from electricity generation in the United States. Cap and trade programs primarily target emitting generators, but programs have also included renewable generators, such as wind generators. States cite several reasons why they have considered the policy option of including renewable generators in cap and trade programs: to provide an incentive for lower-emitting generation, to achieve emissions reductions in non-capped pollutants, and to gain local economic benefits associated with renewable energy projects. The U.S. Environmental Protection Agency also notes these rationales for considering this policy alternative, and the National Association of Regulatory Commissioners (NARUC) passed a resolution supporting the inclusion of renewable energy in cap and trade programs. This report explores why states consider this policy option, what participation could mean for wind generators, and how wind generation can most effectively be included in state, federal, and regional cap and trade programs.

  12. Wind Power Career Chat

    SciTech Connect (OSTI)

    Not Available

    2011-01-01T23:59:59.000Z

    This document will teach students about careers in the wind energy industry. Wind energy, both land-based and offshore, is expected to provide thousands of new jobs in the next several decades. Wind energy companies are growing rapidly to meet America's demand for clean, renewable, and domestic energy. These companies need skilled professionals. Wind power careers will require educated people from a variety of areas. Trained and qualified workers manufacture, construct, operate, and manage wind energy facilities. The nation will also need skilled researchers, scientists, and engineers to plan and develop the next generation of wind energy technologies.

  13. Wind energy information guide

    SciTech Connect (OSTI)

    NONE

    1996-04-01T23:59:59.000Z

    This book is divided into nine chapters. Chapters 1--8 provide background and annotated references on wind energy research, development, and commercialization. Chapter 9 lists additional sources of printed information and relevant organizations. Four indices provide alphabetical access to authors, organizations, computer models and design tools, and subjects. A list of abbreviations and acronyms is also included. Chapter topics include: introduction; economics of using wind energy; wind energy resources; wind turbine design, development, and testing; applications; environmental issues of wind power; institutional issues; and wind energy systems development.

  14. Wind power today

    SciTech Connect (OSTI)

    NONE

    1998-04-01T23:59:59.000Z

    This publication highlights initiatives of the US DOE`s Wind Energy Program. 1997 yearly activities are also very briefly summarized. The first article describes a 6-megawatt wind power plant installed in Vermont. Another article summarizes technical advances in wind turbine technology, and describes next-generation utility and small wind turbines in the planning stages. A village power project in Alaska using three 50-kilowatt turbines is described. Very brief summaries of the Federal Wind Energy Program and the National Wind Technology Center are also included in the publication.

  15. Assessing Quality of Policy Properties in Verification of Access Control Policies

    E-Print Network [OSTI]

    Young, R. Michael

    Assessing Quality of Policy Properties in Verification of Access Control Policies Evan Martin Tao, which are often manually specified. Policy verification is an important tech- nique for high assurance and hardware resources, especially for distributed systems. It controls which principals such as users

  16. Building a market for small wind: The break-even turnkey cost of residential wind systems in the United States

    SciTech Connect (OSTI)

    Edwards, Jennifer L.; Wiser, Ryan; Bolinger, Mark; Forsyth, Trudy

    2004-03-01T23:59:59.000Z

    Although small wind turbine technology and economics have improved in recent years, the small wind market in the United States continues to be driven in large part by state incentives, such as cash rebates, favorable loan programs, and tax credits. This paper examines the state-by-state economic attractiveness of small residential wind systems. Economic attractiveness is evaluated primarily using the break-even turnkey cost (BTC) of a residential wind system as the figure of merit. The BTC is defined here as the aggregate installed cost of a small wind system that could be supported such that the system owner would break even (and receive a specified return on investment) over the life of the turbine, taking into account current available incentives, the wind resource, and the retail electricity rate offset by on-site generation. Based on the analysis presented in this paper, we conclude that: (1) the economics of residential, grid-connected small wind systems is highly variable by state and wind resource class, (2) significant cost reductions will be necessary to stimulate widespread market acceptance absent significant changes in the level of policy support, and (3) a number of policies could help stimulate the market, but state cash incentives currently have the most significant impact, and will be a critical element of continued growth in this market.

  17. EA-1726: Kahuku Wind Power, LLC Wind Power Generation Facility...

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

    6: Kahuku Wind Power, LLC Wind Power Generation Facility, O'ahu, HI EA-1726: Kahuku Wind Power, LLC Wind Power Generation Facility, O'ahu, HI May 3, 2010 EA-1726: Final...

  18. 2008 Wind Energy Projects, Wind Powering America (Poster)

    SciTech Connect (OSTI)

    Not Available

    2009-01-01T23:59:59.000Z

    The Wind Powering America program produces a poster at the end of every calendar year that depicts new U.S. wind energy projects. The 2008 poster includes the following projects: Stetson Wind Farm in Maine; Dutch Hill Wind Farm in New York; Grand Ridge Wind Energy Center in Illinois; Hooper Bay, Alaska; Forestburg, South Dakota; Elbow Creek Wind Project in Texas; Glacier Wind Farm in Montana; Wray, Colorado; Smoky Hills Wind Farm in Kansas; Forbes Park Wind Project in Massachusetts; Spanish Fork, Utah; Goodland Wind Farm in Indiana; and the Tatanka Wind Energy Project on the border of North Dakota and South Dakota.

  19. Stellar Winds on the Main-Sequence II: the Evolution of Rotation and Winds

    E-Print Network [OSTI]

    Johnstone, C P; Brott, I; Lüftinger, T

    2015-01-01T23:59:59.000Z

    Aims: We study the evolution of stellar rotation and wind properties for low-mass main-sequence stars. Our aim is to use rotational evolution models to constrain the mass loss rates in stellar winds and to predict how their properties evolve with time on the main-sequence. Methods: We construct a rotational evolution model that is driven by observed rotational distributions of young stellar clusters. Fitting the free parameters in our model allows us to predict how wind mass loss rate depends on stellar mass, radius, and rotation. We couple the results to the wind model developed in Paper I of this series to predict how wind properties evolve on the main-sequence. Results: We estimate that wind mass loss rate scales with stellar parameters as $\\dot{M}_\\star \\propto R_\\star^2 \\Omega_\\star^{1.33} M_\\star^{-3.36}$. We estimate that at young ages, the solar wind likely had a mass loss rate that is an order of magnitude higher than that of the current solar wind. This leads to the wind having a higher density at y...

  20. Wind Generation on Winnebago Tribal Lands

    SciTech Connect (OSTI)

    Multiple

    2009-09-30T23:59:59.000Z

    The Winnebago Wind Energy Study evaluated facility-scale, community-scale and commercial-scale wind development on Winnebago Tribal lands in northeastern Nebraska. The Winnebago Tribe of Nebraska has been pursuing wind development in various forms for nearly ten years. Wind monitoring utilizing loaned met towers from NREL took place during two different periods. From April 2001 to April 2002, a 20-meter met tower monitored wind data at the WinnaVegas Casino on the far eastern edge of the Winnebago reservation in Iowa. In late 2006, a 50-meter tower was installed, and subsequently monitored wind data at the WinnaVegas site from late 2006 through late 2008. Significant challenges with the NREL wind monitoring equipment limited the availability of valid data, but based on the available data, average wind speeds between 13.6 – 14.3 miles were indicated, reflecting a 2+/3- wind class. Based on the anticipated cost of energy produced by a WinnaVegas wind turbine, and the utility policies and rates in place at this time, a WinnaVegas wind project did not appear to make economic sense. However, if substantial grant funding were available for energy equipment at the casino site, and if either Woodbury REC backup rates were lower, or NIPCO was willing to pay more for wind power, a WinnaVegas wind project could be feasible. With funding remaining in the DOE-funded project budget,a number of other possible wind project locations on the Winnebago reservation were considered. in early 2009, a NPPD-owned met tower was installed at a site identified in the study pursuant to a verbal agreement with NPPD which provided for power from any ultimately developed project on the Western Winnebago site to be sold to NPPD. Results from the first seven months of wind monitoring at the Western Winnebago site were as expected at just over 7 meters per second at 50-meter tower height, reflecting Class 4 wind speeds, adequate for commercial development. If wind data collected in the remaining months of the twelve-month collection period is consistent with that collected in the first seven months, the Western Winnebago site may present an interesting opportunity for Winnebago. Given the distance to nearby substations, and high cost of interconnection at higher voltage transmission lines, Winnebago would likely need to be part of a larger project in order to reduce power costs to more attractive levels. Another alternative would be to pursue grant funding for a portion of development or equipment costs, which would also help reduce the cost of power produced. The NREL tower from the WinnaVegas site was taken down in late 2008, re-instrumented and installation attempted on the Thunderway site south of the Winnebago community. Based on projected wind speeds, current equipment costs, and the project’s proximity to substations for possible interconnection, a Thunderway community-scale wind project could also be feasible.

  1. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    AWEA?s Wind Energy Weekly, DOE/EPRI?s Turbine Verification10% Wind Energy Penetration New large-scale 9 wind turbineswind energy continues to decline as a result of lower wind turbine

  2. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    AWEA’s Wind Energy Weekly, DOE/EPRI’s Turbine Verification10% Wind Energy Penetration New large-scale 8 wind turbinesTurbine Market Report. Washington, D.C. : American Wind Energy

  3. Sandia Energy - Wind Plant Optimization

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

    Wind Plant Optimization Home Stationary Power Energy Conversion Efficiency Wind Energy Wind Plant Optimization Wind Plant OptimizationTara Camacho-Lopez2015-05-29T21:33:21+00:00...

  4. Wind Wave Float

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

    Water Power Peer Review WindWaveFloat Alla Weinstein Principle Power, Inc. aweinstein@principlepowerinc.com November 1, 2011 2 | Wind and Water Power Program eere.energy.gov...

  5. Wind Energy Act (Maine)

    Broader source: Energy.gov [DOE]

    The Maine Wind Energy Act is a summary of legislative findings that indicate the state's strong interest in promoting the development of wind energy and establish the state's desire to ease the...

  6. Residential Wind Power

    E-Print Network [OSTI]

    Willis, Gary

    2011-12-16T23:59:59.000Z

    This research study will explore the use of residential wind power and associated engineering and environmental issues. There is various wind power generating devices available to the consumer. The study will discuss the dependencies of human...

  7. Airplane and the wind

    E-Print Network [OSTI]

    Airplane and the wind. An airplane starts from the point A and flies to B. The speed of the airplane with respect to the air is v (constant). There is also a wind of

  8. See the Wind

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

    See the Wind Grades: 5-8 , 9-12 Topic: Wind Energy Owner: Kidwind Project This educational material is brought to you by the U.S. Department of Energy's Office of Energy Efficiency...

  9. Wind JOC Conference - Wind Control Changes

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

    1 Wind Control Changes JOC August 10, 2012 Presentation updated on July 30, 2012 at 11:00 AM B O N N E V I L L E P O W E R A D M I N I S T R A T I O N 2 Wind Control Changes B O N...

  10. Quality Policy

    Broader source: Energy.gov [DOE]

    Quality Policy It is the policy of the Department of Energy to establish quality requirements to ensure that risks and environmental impacts are minimized and that safety, reliability, and performance are maximized through the application of effective management systems commensurate with the risks posed by the facility or activity and its work. The Department implements this policy through the QA Order and the QA rule directives to ensure quality assurance requirements are clearly specified for the broad spectrum of work performed by DOE and its contractors.

  11. WP2 IEA Wind Task 26:The Past and Future Cost of Wind Energy

    E-Print Network [OSTI]

    Lantz, Eric

    2014-01-01T23:59:59.000Z

    Prospects for Offshore Wind Farms. ” Wind Engineering, 28:Techniques for Offshore Wind Farms. ” Journal of Solar

  12. ADMINISTRATIVE UNIVERSITY POLICY

    E-Print Network [OSTI]

    ADMINISTRATIVE UNIVERSITY POLICY FACULTY UNIVERSITY POLICY STUDENT UNIVERSITY POLICY Issue stakeholder list "Log-In" of Proposed University Policy with the University Compliance Committee (UCC) UCC identifies which track (i.e., Administrative, Faculty, or Student) the proposed University Policy

  13. Paper No. 2006-JSC-397 Agarwal Design Loads for an Offshore Wind Turbine using Statistical Extrapolation from Limited Field Data

    E-Print Network [OSTI]

    Manuel, Lance

    Paper No. 2006-JSC-397 Agarwal Design Loads for an Offshore Wind Turbine using Statistical a field measurement campaign. At the Blyth offshore wind farm in the United Kingdom, a 2MW wind turbine of variability in the parameters for load distribution is investigated. KEY WORDS: Offshore wind turbines

  14. Kent County- Wind Ordinance

    Broader source: Energy.gov [DOE]

    This ordinance establishes provisions and standards for small wind energy systems in various zoning districts in Kent County, Maryland.

  15. Wind Webinar Text Version

    Broader source: Energy.gov [DOE]

    Download the text version of the audio from the DOE Office of Indian Energy webinar on wind renewable energy.

  16. 2012 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2014-01-01T23:59:59.000Z

    regulation and frequency response services charge to wind energyRegulation and Frequency Response Service rate for wind energy

  17. Wind Farms in North America

    E-Print Network [OSTI]

    Hoen, Ben

    2014-01-01T23:59:59.000Z

    Opinion About Large Offshore Wind Power: Underlying Factors.Delaware Opinion on Offshore Wind Power - Interim Report.

  18. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    space constraints. Ohio: The Lake Erie Energy DevelopmentGreat Lakes Ohio Wind, and Great Lakes Wind Energy LLC. In

  19. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    of larger balancing areas, the use of regional wind powerbalancing areas. The successful use of regional wind power

  20. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    directly charging wind power projects for balancing servicesin smaller balancing areas. The successful use of wind power

  1. Combining a Renewable Portfolio Standard with a Cap-and-Trade Policy: A General Equilibrium Analysis

    E-Print Network [OSTI]

    renewable sources such as wind, solar, and biomass. I use a computable general equilibrium (CGE) modelCombining a Renewable Portfolio Standard with a Cap-and-Trade Policy: A General Equilibrium, Technology and Policy Program #12;#12;3 Combining a Renewable Portfolio Standard with a Cap-and-Trade Policy

  2. Wind Economic Development (Postcard)

    SciTech Connect (OSTI)

    Not Available

    2011-08-01T23:59:59.000Z

    The U.S. Department of Energy's Wind Powering America initiative provides information on the economic development benefits of wind energy. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to the economic development benefits section on the Wind Powering America website.

  3. Wind farm electrical system

    DOE Patents [OSTI]

    Erdman, William L.; Lettenmaier, Terry M.

    2006-07-04T23:59:59.000Z

    An approach to wind farm design using variable speed wind turbines with low pulse number electrical output. The output of multiple wind turbines are aggregated to create a high pulse number electrical output at a point of common coupling with a utility grid network. Power quality at each individual wind turbine falls short of utility standards, but the aggregated output at the point of common coupling is within acceptable tolerances for utility power quality. The approach for aggregating low pulse number electrical output from multiple wind turbines relies upon a pad mounted transformer at each wind turbine that performs phase multiplication on the output of each wind turbine. Phase multiplication converts a modified square wave from the wind turbine into a 6 pulse output. Phase shifting of the 6 pulse output from each wind turbine allows the aggregated output of multiple wind turbines to be a 24 pulse approximation of a sine wave. Additional filtering and VAR control is embedded within the wind farm to take advantage of the wind farm's electrical impedence characteristics to further enhance power quality at the point of common coupling.

  4. Wind power outlook 2006

    SciTech Connect (OSTI)

    anon.

    2006-04-15T23:59:59.000Z

    This annual brochure provides the American Wind Energy Association's up-to-date assessment of the wind industry in the United States. This 2006 general assessment shows positive signs of growth, use and acceptance of wind energy as a vital component of the U.S. energy mix.

  5. Wind Turbine Competition Introduction

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    Wind Turbine Competition Introduction: The Society of Hispanic Professional Engineers, SHPE at UTK, wishes to invite you to participate in our first `Wind Turbine' competition as part of Engineer's Week). You will be evaluated by how much power your wind turbine generates at the medium setting of our fan

  6. Offshore Wind Geoff Sharples

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Offshore Wind Geoff Sharples geoff@clearpathenergyllc.com #12;Frequently Unanswered Ques?ons · Why don't "they" build more offshore wind? · Why not make States Cape Wind PPA at 18 c/kWh #12;The cycle of non-innova?on Offshore

  7. CONGRESSIONAL BRIEFING Offshore Wind

    E-Print Network [OSTI]

    Firestone, Jeremy

    CONGRESSIONAL BRIEFING Offshore Wind Lessons Learned from Europe: Reducing Costs and Creating Jobs Thursday, June 12, 2014 Capitol Visitors Center, Room SVC 215 Enough offshore wind capacity to power six the past decade. What has Europe learned that is applicable to a U.S. effort to deploy offshore wind off

  8. Why do meteorologists use wind vanes? Wind vanes are used to determine the direction of the wind. Wind

    E-Print Network [OSTI]

    Nebraska-Lincoln, University of

    Fun Facts Why do meteorologists use wind vanes? Wind vanes are used to determine the direction of the wind. Wind· vanes are also called weather vanes. What do wind vanes look like on a weather station? Wind vanes that are on weather stations look a lot like the one you· made! The biggest differences

  9. REVISION POLICY

    Gasoline and Diesel Fuel Update (EIA)

    REVISION POLICY March 2007 Data are collected at the million cubic feet per month level and all calculations mentioned below are carried out at that precision. However, the data...

  10. Distributional and Efficiency Impacts of Clean and Renewable Energy Standards for Electricity

    E-Print Network [OSTI]

    Rausch, Sebastian

    2012-07-17T23:59:59.000Z

    We examine the efficiency and distributional impacts of greenhouse gas policies directed toward the electricity

  11. Credit Trading and Wind Power: Issues and Opportunities

    SciTech Connect (OSTI)

    Kevin Rackstraw, John Palmisano

    2001-01-15T23:59:59.000Z

    OAK-B135 This paper focuses on credits that are derived from wind energy technology, but the same concepts apply to other renewable energy technologies as well. Credit trading can be applied to a wide variety of policies, programs and private market activities and represents a means of tapping into revenue streams that heretofore have largely excluded wind and other renewables. In addition, credit trading can help to ''create'' new revenue streams for wind and other renewables by helping to grow new markets.

  12. Factors driving wind power development in the United States

    SciTech Connect (OSTI)

    Bird, Lori A.; Parsons, Brian; Gagliano, Troy; Brown, Matthew H.; Wiser, Ryan H.; Bolinger, Mark

    2003-05-15T23:59:59.000Z

    In the United States, there has been substantial recent growth in wind energy generating capacity, with growth averaging 24 percent annually during the past five years. About 1,700 MW of wind energy capacity was installed in 2001, while another 410 MW became operational in 2002. This year (2003) shows promise of significant growth with more than 1,500 MW planned. With this growth, an increasing number of states are experiencing investment in wind energy projects. Wind installations currently exist in about half of all U.S. states. This paper explores the key factors at play in the states that have achieved a substantial amount of wind energy investment. Some of the factors that are examined include policy drivers, such as renewable portfolio standards (RPS), federal and state financial incentives, and integrated resource planning; as well as market drivers, such as consumer demand for green power, natural gas price volatility, and wholesale market rules.

  13. Wind Power Price Trends in the United States

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2009-07-15T23:59:59.000Z

    For the fourth year in a row, the United States led the world in adding new wind power capacity in 2008, and also surpassed Germany to take the lead in terms of cumulative installed wind capacity. The rapid growth of wind power in the U.S. over the past decade (Figure 1) has been driven by a combination of increasingly supportive policies (including the Federal production tax credit (PTC) and a growing number of state renewables portfolio standards), uncertainty over the future fuel costs and environmental liabilities of natural gas and coal-fired power plants, and wind's competitive position among generation resources. This article focuses on just the last of these drivers - i.e., trends in U.S. wind power prices - over the period of strong capacity growth since 1998.

  14. Wind energy applications guide

    SciTech Connect (OSTI)

    anon.

    2001-01-01T23:59:59.000Z

    The brochure is an introduction to various wind power applications for locations with underdeveloped transmission systems, from remote water pumping to village electrification. It includes an introductory section on wind energy, including wind power basics and system components and then provides examples of applications, including water pumping, stand-alone systems for home and business, systems for community centers, schools, and health clinics, and examples in the industrial area. There is also a page of contacts, plus two specific example applications for a wind-diesel system for a remote station in Antarctica and one on wind-diesel village electrification in Russia.

  15. Bipolar molecular outflows driven by hydromagnetic protostellar winds

    E-Print Network [OSTI]

    Christopher D. Matzner; Christopher F. McKee

    1999-09-29T23:59:59.000Z

    We demonstrate that magnetically-collimated protostellar winds will sweep ambient material into thin, radiative, momentum-conserving shells whose features reproduce those commonly observed in bipolar molecular outflows. We find the typical position-velocity and mass-velocity relations to occur in outflows in a wide variety of ambient density distributions, regardless of the time histories of their driving winds.

  16. Economic assessment of small-scale electricity generation from wind

    E-Print Network [OSTI]

    McAllister, Kristen Dawn

    2007-09-17T23:59:59.000Z

    10 kW wind turbine on a 30m tower was installed and five different scenarios were calculated for both locations. Wind speeds for both locations were collected and analyzed to find the closest fitting distribution to incorporate the appropriate risk...

  17. Wind resource characterization results to support the Sandia Wind Farm Feasibility Study : August 2008 through March 2009.

    SciTech Connect (OSTI)

    Deola, Regina Anne

    2010-01-01T23:59:59.000Z

    Sandia National Laboratories Wind Technology Department is investigating the feasibility of using local wind resources to meet the requirements of Executive Order 13423 and DOE Order 430.2B. These Orders, along with the DOE TEAM initiative, identify the use of on-site renewable energy projects to meet specified renewable energy goals over the next 3 to 5 years. A temporary 30-meter meteorological tower was used to perform interim monitoring while the National Environmental Policy Act (NEPA) process for the larger Wind Feasibility Project ensued. This report presents the analysis of the data collected from the 30-meter meteorological tower.

  18. Wind tower service lift

    DOE Patents [OSTI]

    Oliphant, David; Quilter, Jared; Andersen, Todd; Conroy, Thomas

    2011-09-13T23:59:59.000Z

    An apparatus used for maintaining a wind tower structure wherein the wind tower structure may have a plurality of legs and may be configured to support a wind turbine above the ground in a better position to interface with winds. The lift structure may be configured for carrying objects and have a guide system and drive system for mechanically communicating with a primary cable, rail or other first elongate member attached to the wind tower structure. The drive system and guide system may transmit forces that move the lift relative to the cable and thereby relative to the wind tower structure. A control interface may be included for controlling the amount and direction of the power into the guide system and drive system thereby causing the guide system and drive system to move the lift relative to said first elongate member such that said lift moves relative to said wind tower structure.

  19. Wind energy conversion system

    DOE Patents [OSTI]

    Longrigg, Paul (Golden, CO)

    1987-01-01T23:59:59.000Z

    The wind energy conversion system includes a wind machine having a propeller connected to a generator of electric power, the propeller rotating the generator in response to force of an incident wind. The generator converts the power of the wind to electric power for use by an electric load. Circuitry for varying the duty factor of the generator output power is connected between the generator and the load to thereby alter a loading of the generator and the propeller by the electric load. Wind speed is sensed electro-optically to provide data of wind speed upwind of the propeller, to thereby permit tip speed ratio circuitry to operate the power control circuitry and thereby optimize the tip speed ratio by varying the loading of the propeller. Accordingly, the efficiency of the wind energy conversion system is maximized.

  20. West Winds Wind 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 Jump to:Ezfeedflag JumpID-fTri GlobalJump to: navigation,Goff,Holt WindInformationWestWinds Wind