DOCSLIB.ORG

Distributed Generation, Battery Storage, and Combined Heat and Power System Characteristics and Costs in the Buildings and Industrial Sectors I May 2020

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Distributed Generation, Battery Storage, and Combined Heat and Power System Characteristics and Costs in the Buildings and Industrial Sectors I May 2020 Distributed Generation , Battery Storage, and Combined Heat and Power System Characteristics and Costs in the Buildings and Industrial Sectors May 2020 Independent Statistics & Analysis U.S. Department of Energy www.eia.gov Washington, DC 20585 This report was prepared for the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA’s data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the U.S. Department of Energy or other federal agencies. U.S. Energy Information Administration | Distributed Generation, Battery Storage, and Combined Heat and Power System Characteristics and Costs in the Buildings and Industrial Sectors i May 2020 Distributed Generation, Battery Storage, and Combined Heat and Power System Characteristics and Costs in the Buildings and Industrial Sectors Distributed generation in the residential and commercial buildings sectors refers to onsite, behind-the- meter generation of energy. This often includes electricity from renewable energy systems such as solar photovoltaics (PV) and small wind turbines, but it can also include electricity and captured waste heat from combined heat and power (CHP) systems. Many factors influence the market for distributed generation, including government policies at the local, state, and federal levels, and project costs, which vary significantly depending on location, size, and application. Current and future equipment costs of distributed generation are subject to uncertainty. As part of its Annual Energy Outlook (AEO), the U.S. Energy Information Administration (EIA) updates projections to reflect the most current, publicly available historical cost data and uses multiple third-party estimates of future costs in the near and long terms. Performance data are likewise based on currently available technology and expert projections of future technologies. Before the AEO2020 reporting cycle, EIA contracted with an external consultant to develop cost and performance characterizations of PV, small wind, and CHP installations in the buildings and industrial sectors.1 The consultant provided cost and performance data for systems of various sizes at various intervals for 2012–2050. Two levels of future technology optimism were offered: a Reference case and an Advanced case that included lower equipment costs, improved performance, or both. From this information, EIA used national-level average annual costs for a typical system size in each sector. Abbreviated tables of these system sizes and costs are presented in the residential and commercial chapters of the Assumptions to the AEO. Additional information in the contracted report— including equipment degradation rate, system life, annual maintenance cost, inverter cost, and conversion efficiency—was adapted for input in the Distributed Generation Submodules of the Residential and Commercial Demand modules of the National Energy Modeling System. As described in the assumptions reports, other information not included in the report—such as resource availability, avoided electricity cost, interconnection limitations, incentive amounts, installed capacity- based cost reductions, and other factors—ultimately affect the capacity of distributed generation and CHP added within a given sector and year. The report, Analyze Distributed Generation, Battery Storage, and Combined Heat and Power Technology Data and Develop Performance and Cost Estimates and Analytic Assumptions for the National Energy Modeling System: Final Report, is available in Appendix A. When referencing the report, cite it as a report by Leidos, Inc., prepared for the U.S. Energy Information Administration. 1 Distributed generation systems often cost more per unit of capacity than utility-scale systems. A separate analysis involves assumptions for electric power generation plant costs for various technologies, including utility-scale photovoltaics and both onshore and offshore wind turbines used in the Electricity Market Module. U.S. Energy Information Administration | Distributed Generation, Battery Storage, and Combined Heat and Power System Characteristics and Costs in the Buildings and Industrial Sectors 1 May 2020 APPENDIX A U.S. Energy Information Administration | Distributed Generation, Battery Storage, and Combined Heat and Power System Characteristics and Costs in the Buildings and Industrial Sectors 2 EOP IV Contract #DE-EI0002956 Task Order #89303019FEI400025 Subtask 5.1 Analyze Distributed Generation, Battery Storage, and Combined Heat and Power Technology Data and Develop Performance and Cost Estimates and Analytic Assumptions for the National Energy Modeling System: Final Report U.S. Energy Information Administration Office of Energy Analysis Office of Energy Consumption and Efficiency Analysis April 28, 2020 EOP IV Contract DE-EI0002956 Task Order #89303019FEI400025 Subtask 5.1 Analyze Distributed Generation, Battery Storage and Combined Heat and Power Technology Data and Develop Performance and Cost Estimates and Analytic Assumptions for National Energy Modeling System: Final Report U.S. Energy Information Administration Office of Energy Analysis Office of Energy Consumption and Efficiency Analysis April 28, 2020 This report has been prepared for the use of the client for the specific purposes identified in the report. The conclusions, observations and recommendations contained herein attributed to Leidos constitute the opinions of Leidos. To the extent that statements, information and opinions provided by the client or others have been used in the preparation of this report, Leidos has relied upon the same to be accurate, and for which no assurances are intended and no representations or warranties are made. Leidos makes no certification and gives no assurances except as explicitly set forth in this report. © 2020 Leidos, Inc. All rights reserved. Review of Distributed Generation and Combined Heat and Power Technology U.S. Energy Information Administration Table of Contents Table of Contents List of Tables List of Figures Section 1 INTRODUCTION .................................................................................... 1-1 1.1 Technologies Assessed ............................................................................ 1-3 Section 2 GENERAL BASIS FOR TECHNOLOGY EVALUATION ................ 2-1 2.1 Leidos Background .................................................................................. 2-1 2.2 Base Fuel Characteristics ......................................................................... 2-1 2.3 Base Technology Descriptions ................................................................ 2-2 2.3.1 Photovoltaic ................................................................................. 2-2 2.3.2 Wind ............................................................................................. 2-8 2.3.3 Fuel Cell ..................................................................................... 2-10 2.3.4 Reciprocating Engine ................................................................. 2-16 2.3.5 Natural Gas Microturbine .......................................................... 2-19 2.3.6 Natural Gas Turbine ................................................................... 2-20 2.3.7 Combined Cycle......................................................................... 2-22 2.3.8 Battery Energy Storage Systems (BESS) .................................. 2-22 2.4 Cost Estimation Methodology ............................................................... 2-24 2.4.1 Capital Cost ................................................................................ 2-24 2.4.2 Operation and Maintenance Costs ............................................. 2-25 2.4.3 Regional Cost Factors ................................................................ 2-27 2.4.4 Technologies Performance Specifications ................................. 2-27 Section 3 RESIDENTIAL ......................................................................................... 3-1 3.1 Residential – Small Solar Photovoltaic (RSS) ......................................... 3-1 3.1.1 Equipment and Systems ............................................................... 3-1 3.1.2 Technology Specifications ........................................................... 3-1 3.1.3 Capital Cost Estimate ................................................................... 3-2 3.1.4 O&M Estimate ............................................................................. 3-3 3.1.5 Reference Technologies Projections ............................................ 3-3 3.1.6 Advanced Technologies Projection ............................................. 3-5 3.2 Residential – Wind System (RWS).......................................................... 3-6 3.2.1 Equipment and Systems ............................................................... 3-6 3.2.2 Technology Specifications ........................................................... 3-6 3.2.3 Capital Cost Estimate ................................................................... 3-7 File: EIA | BC0269 Table of Contents 3.2.4 O&M Cost Estimate .................................................................... 3-8 3.2.5 Reference Technologies Projections ............................................ 3-9 3.2.6 Advanced Technologies Projections .......................................... 3-10
Load more

Recommended publications
  • Renewable Energy Australian Water Utilities
    Case Study 7 Renewable energy Australian water utilities The Australian water sector is a large emissions, Melbourne Water also has a Water Corporation are offsetting the energy user during the supply, treatment pipeline of R&D and commercialisation. electricity needs of their Southern and distribution of water. Energy use is These projects include algae for Seawater Desalination Plant by heavily influenced by the requirement treatment and biofuel production, purchasing all outputs from the to pump water and sewage and by advanced biogas recovery and small Mumbida Wind Farm and Greenough sewage treatment processes. To avoid scale hydro and solar generation. River Solar Farm. Greenough River challenges in a carbon constrained Solar Farm produces 10 megawatts of Yarra Valley Water, has constructed world, future utilities will need to rely renewable energy on 80 hectares of a waste to energy facility linked to a more on renewable sources of energy. land. The Mumbida wind farm comprise sewage treatment plant and generating Many utilities already have renewable 22 turbines generating 55 megawatts enough biogas to run both sites energy projects underway to meet their of renewable energy. In 2015-16, with surplus energy exported to the energy demands. planning started for a project to provide electricity grid. The purpose built facility a significant reduction in operating provides an environmentally friendly Implementation costs and greenhouse gas emissions by disposal solution for commercial organic offsetting most of the power consumed Sydney Water has built a diverse waste. The facility will divert 33,000 by the Beenyup Wastewater Treatment renewable energy portfolio made up of tonnes of commercial food waste Plant.
    [Show full text]
  • The Opportunity of Cogeneration in the Ceramic Industry in Brazil – Case Study of Clay Drying by a Dry Route Process for Ceramic Tiles
    CASTELLÓN (SPAIN) THE OPPORTUNITY OF COGENERATION IN THE CERAMIC INDUSTRY IN BRAZIL – CASE STUDY OF CLAY DRYING BY A DRY ROUTE PROCESS FOR CERAMIC TILES (1) L. Soto Messias, (2) J. F. Marciano Motta, (3) H. Barreto Brito (1) FIGENER Engenheiros Associados S.A (2) IPT - Instituto de Pesquisas Tecnológicas do Estado de São Paulo S.A (3) COMGAS – Companhia de Gás de São Paulo ABSTRACT In this work two alternatives (turbo and motor generator) using natural gas were considered as an application of Cogeneration Heat Power (CHP) scheme comparing with a conventional air heater in an artificial drying process for raw material in a dry route process for ceramic tiles. Considering the drying process and its influence in the raw material, the studies and tests in laboratories with clay samples were focused to investigate the appropriate temperature of dry gases and the type of drier in order to maintain the best clay properties after the drying process. Considering a few applications of CHP in a ceramic industrial sector in Brazil, the study has demonstrated the viability of cogeneration opportunities as an efficient way to use natural gas to complement the hydroelectricity to attend the rising electrical demand in the country in opposition to central power plants. Both aspects entail an innovative view of the industries in the most important ceramic tiles cluster in the Americas which reaches 300 million squares meters a year. 1 CASTELLÓN (SPAIN) 1. INTRODUCTION 1.1. The energy scenario in Brazil. In Brazil more than 80% of the country’s installed capacity of electric energy is generated using hydropower.
    [Show full text]
  • Thermal Storage Impact on CHP Cogeneration Performance with Southwoods Case Study Edmonton, Alberta Michael Roppelt C.E.T
    Thermal Storage Impact on CHP Cogeneration Performance with Southwoods Case Study Edmonton, Alberta Michael Roppelt C.E.T. CHP Cogeneration Solar PV Solar Thermal Grid Supply Thermal Storage GeoExchange RenewableAlternative & LowEnergy Carbon Microgrid Hybrid ConventionalSystemSystem System Optional Solar Thermal Option al Solar PV CNG & BUILDING OR Refueling COMMUNITY Station CHP Cogeneration SCALE 8 DEVELOPMENT Hot Water Hot Water DHW Space Heating $ SAVINGS GHG OPERATING Thermal Energy Cool Water Exchange & Storage ElectricalMicro Micro-Grid-Grid Thermal Microgrid Moving Energy not Wasting Energy Natural Gas Combined Heat and Power (CHP) Cogeneration $350,000 2,500,000 kWh RETAILINPUT OUTPUT VALUE NATURAL GAS $400,000. $100,000.30,000 Gj (85% Efficiency) CHP $50,000 Cogeneration15,000 Energy Gj Technologies CHP Unit Sizing Poorly sized units will not perform optimally which will cancel out the benefits. • For optimal efficiency, CHP units should be designed to provide baseline electrical or thermal output. • A plant needs to operate as many hours as possible, since idle plants produce no benefits. • CHP units have the ability to modulate, or change their output in order to meet fluctuating demand. Meeting Electric Power Demand Energy Production Profile 700 Hourly Average 600 353 January 342 February 500 333 March 324 April 400 345 May 300 369 June 400 July 200 402 August 348 September 100 358 October 0 362 November 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Meeting Heat Demand with CHP Cogeneration Energy Production Profile Heat Demand (kWh) Electric Demand (kWh) Cogen Heat (kWh) Waste Heat Heat Shortfall Useable Heat CHP Performance INEFFICIENCY 15% SPACE HEATING DAILY AND HEAT 35% SEASONAL ELECTRICAL 50% IMBALANCE 35% 50% DHW 15% Industry Studies The IEA works to ensure reliable, affordable and clean energy for its 30 member countries and beyond.
    [Show full text]
  • Employing Renewables to Effectively Cut Load in Electric Grids
    GreenPeaks: Employing renewables to effectively cut load in electric grids Raphael Luciano de Pontes1, Aditya Mishra2, Anand Seetharam3, Mridula Shekhar2, Arti Ramesh3 1Dept. of Computer Science, Federal University of Minas Gerais, Brazil 2Dept. of Computer Science & Software Engineering, Seattle University, USA 3Dept. of Computer Science, SUNY Binghamton, USA [email protected], [email protected], [email protected] [email protected], [email protected] Abstract—Reducing the carbon footprint of energy generation net metering is one of the most popular approaches that allows is an important part of ongoing sustainability efforts. To cut customers to integrate their onsite renewable deployments carbon footprints, electric utilities are incentivizing renewable with the electric grid. It allows customers to generate onsite energy integration through net metering and introducing time- of-use pricing plans to cut demand peaks, as peaks significantly electricity (e.g., using solar panels); generated energy is used contribute to both generation costs and carbon emissions. Net to satisfy customers demand, and any surplus generation is metering is one of the most popular means of integrating sold back to the grid. In its current form, net metering has distributed renewable generation in the grid. However, the two crippling limitations: 1) it doesnt adequately cut peaks, current net metering approach doesn’t effectively cut demand as energy harvest peaks and demand peaks are out of sync; peaks because renewable harvest peak and demand peaks are out of sync. Furthermore, as several states impose net metering for instance, solar power harvest peaks earlier in the day, but subscriber limits of less than 1% of the peak, net metering isn’t household peak demands typically occur around dinner times; even close to realizing the full potential of renewable integration 2) many states impose subscriber limit to less than 1% of the in the grid.
    [Show full text]
  • Demand-Response Management of a District Cooling Plant of a Mixed Use City Development
    Demand-Response Management of a District Cooling Plant of a Mixed Use City Development Segu Madar Mohamed Rifai Master of Science Thesis KTH - Royal Institute of Technology School of Industrial Engineering and Management Department of Energy Technology SE-100 44 STOCKHOLM Thesis Registration No.: EGI- 2012-011MSC Title: Demand-Response Management of a District Cooling Plant of a Mixed Use City Development. SEGU MADAR MOHAMED RIFAI Student Number: 731222 A-315 Approved Examiner Supervisor at KTH Date: 05/06/2012 Prof. Björn Palm Dr. Samer Sawalha Local Supervisor Dr. Hari Gunasingam Commissioner Contact person i | P a g e Abstract Demand for cooling has been increasing around the world for the last couple of decades due to various reasons, and it will continue to increase in the future particularly in developing countries. Traditionally, cooling demand is met by decentralised electrically driven appliances which affect energy, economy and environment as well. District Cooling Plant (DCP) is an innovative alternative means of providing comfort cooling. DCP is becoming an essential infrastructure in modern city development owning to many benefits compared to decentralized cooling technology. Demand Response Management (DRM) is largely applied for Demand Side management of electrical grid. Demand of electrical energy is closely connected with the demand of alternative form of energy such as heating, cooling and mechanical energy. Therefore, application of DR concept should be applied beyond the electrical grid; in particular, it could be applied to any interconnected district energy systems. District Cooling Plant is one of a potential candidate and Demand Response management solutions can be applied to DCP for sustainable operation.
    [Show full text]
  • Authors, Contributors, Reviewers
    432 Quadrennial Technology Review Quadrennial Technology Review 2015 Appendices List of Technology Assessments List of Supplemental Information Office of the Under Secretary for Science and Energy Executive Steering Committee and Co-Champions Authors, Contributors, and Reviewers Glossary Acronyms List of Figures List of Tables 433 434 Quadrennial Technology Review Technology Assessments Chapter 3 Chapter 6 Cyber and Physical Security Additive Manufacturing Designs, Architectures, and Concepts Advanced Materials Manufacturing Electric Energy Storage Advanced Sensors, Controls, Platforms Flexible and Distributed Energy Resources and Modeling for Manufacturing Measurements, Communications, and Control Combined Heat and Power Systems Transmission and Distribution Components Composite Materials Critical Materials Chapter 4 Direct Thermal Energy Conversion Materials, Devices, and Systems Advanced Plant Technologies Materials for Harsh Service Conditions Carbon Dioxide Capture and Storage Value-Added Options Process Heating Biopower Process Intensification Carbon Dioxide Capture Technologies Roll-to-Roll Processing Carbon Dioxide Storage Technologies Sustainable Manufacturing - Flow of Materials through Industry Carbon Dioxide Capture for Natural Gas and Industrial Applications Waste Heat Recovery Systems Crosscutting Technologies in Carbon Dioxide Wide Bandgap Semiconductors for Capture and Storage Power Electronics Fast-spectrum Reactors Geothermal Power Chapter 7 High Temperature Reactors Bioenergy Conversion Hybrid Nuclear-Renewable Energy
    [Show full text]
  • A Model for Internalization of Environmental Effects for Different Cogeneration Technologies
    2nd WSEAS/IASME International Conference on ENERGY PLANNING, ENERGY SAVING, ENVIRONMENTAL EDUCATION (EPESE'08) Corfu, Greece, October 26-28, 2008 A model for internalization of environmental effects for different cogeneration technologies ROXANA PATRASCU AND EDUARD MINCIUC Faculty of Power Engineering University Politehnica of Bucharest Splaiul Independentei 313, Bucharest, Postal Code 060032 ROMANIA Abstract: - Economic quantification of environmental effects should be found in the energy price. European research studies underline the main characteristics of environmental taxes, which comparing to other taxes, lead to improved energy and economic efficiencies. This is due to that fact that environmental taxes stimulate utilization of clean and renewable energy sources as well as clean energy production technologies. The article presents a model for internalization of environmental aspects for different cogeneration technologies: steam turbine, gas turbine and internal combustion engine. The model is validated using a cogeneration plant at an industrial company. A special importance for establishing the model has been paid to the hypotheses needed to economically quantify the environmental effects. Using the proposed model there has been established that environmental taxes has great influence on energy prices and on establishing the optimal technical solution for cogeneration plant. Key-Words: - energy, environment, cogeneration, eco-taxes, pollutants 1 Introduction Presently, there are the following types of taxes that The technical and economic efficiency of are used: cogeneration technologies that use fossil fuels Energy tax – a quantitative tax applied to should include the effects of environmental taxes. energy consumption; The environmental impact of different cogeneration Different pollutant tax (CO2, SO2, NOx, etc.) technologies using fossil fuels are quantified by – qualitative tax, that can really lead to some different criteria that cannot be used in an economic changes.
    [Show full text]
  • Combined Heat & Power (CHP), Also Known As Cogeneration, Supplies
    TEXAS COMBINED HEAT AND POWER INITIATIVE www.texaschpi.org P.O. Box 1462 Austin, Texas 78767 512.705.9996 Combined Heat & Power (CHP), also known as cogeneration, supplies 20% of the electricity in Texas. CHP uses well-known technologies that can be deployed quickly and cost-effectively in a wide variety of industrial, institutional and commercial applications. And similar to the commonly known renewable energy sources, CHP consumes very little water. By all accounts, CHP It is the most efficient way to generate power from fuel including natural gas, waste or byproducts, biogas, or biomass. Typically, power generation is an inherently inefficient process that creates heat but with CHP the heat is used to displace fuel instead of evaporating cooling water as is required with conventional power generation. Texas leads the nation in CHP generation with about 16 GW, or 20% of total US capacity. Texas added 10,000 MWe of CHP capacity between 1995 and 2002 and the bulk of this was comprised of large (100+ MWe) systems located at industrial sites. However, economic and policy barriers have limiting further gains, especially of smaller CHP systems. We believe the state is at a cross roads where the implementation of smart policies supportive of CHP could stimulate another burst of CHP development and significant growth in industrial and commercial projects. Growth in CHP is needed because it is a dispatchable, distributed resource that reduces energy consumption, provides impressive air emission savings, saves water, improves energy reliability and security, and makes Texas businesses more competitive in world markets. TXCHPI estimates that the existing CHP capacity reduces water consumption by 28 billion gallons or 85,000 acre-feet per year.
    [Show full text]
  • Coordinated Operations of Flexible Coal and Renewable Energy Power Plants: Challenges and Opportunities
    CoordinatedCoordinated Operations Operations of of Flexible Flexible Coal Coal andand Renewable Renewable Energy Energy Power Power Plants: Plants: ChallengesChallenges and and Opportunities Opportunities This reportThis report argues argues that coordinatedthat coordinated operations operations of renewable of renewable energy energy and fossil and fossilfuel-red fuel-red powerpower plants plants could couldhelp increase help increase reliability reliability and eciency and eciency of the of whole the whole system. system. At the At same the same time, time,given giventhe inherent the inherent variability variability of renewable of renewable energy, energy, increasing increasing the exibility the exibility of coal of coal powerpower plant operationsplant operations could couldalso allow also forallow a faster for a fasterdeployment deployment of renewable of renewable energy energy sources. sources. This isThis an important is an important concept concept because because the share the ofshare fossil of fuelsfossil in fuels total in primary total primary energy energy supply supply in in the ECEthe region ECE region is still isaround still around 80 per 80 cent. per Undercent. Under any plausible any plausible long-term long-term scenario scenario fossil fuelsfossil fuels will remainwill remain a critical a critical part of part the ofenergy the energy mix in mix the incoming the coming decades. decades. Sustainable Sustainable management management of fossilof fuelsfossil infuels electricity in electricity generation generation is key
    [Show full text]
  • Distributed Wind Competitiveness Improvement Project
    Distributed Wind Competitiveness Improvement Project The Competitiveness Improvement Project (CIP) is a periodic solicitation through the U.S. Department of Energy (DOE) and its National Renewable Energy Laboratory (NREL). Manufacturers of small and medium wind turbines are awarded cost-shared subcontracts via a competitive process to optimize their designs, develop advanced manufacturing processes, and perform turbine testing. The goals of the CIP are to make wind energy cost competitive with other distributed generation technology and increase the number of wind turbine Photo from Northern Power Systems, NREL 36193 Increased Energy Reduced Hardware Production Costs Performance & Safety CIP component innovations and CIP manufacturing process CIP awardee Primus system optimization awardee innovation awardee Pika Energy Windpower of Lakewood, Colorado, achieved Bergey Windpower of Norman, of Westbrook, Maine, reduced Oklahoma, achieved a 110% blade costs by approximately for safety, function, performance, and durability— energy production increase for the 90% by developing an innovative to international standards on two of their turbine Excel 15 turbine over the Excel 10 tooling and cooling strategy to models. Northern Power Systems also recently turbine by increasing blade length produce blades using injection- and improving blade aerodynamics molded plastic. Two additional CIP awardees are currently and system controls. Through six funding cycles, DOE and NREL have awarded 28 subcontracts to 15 companies, totaling $6.3 million of investment
    [Show full text]
  • Optimum Sizing of Distributed Generation and Storage Capacity in Smart Households Salman Kahrobaee University of Nebraska-Lincoln, [email protected]
    University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Faculty Publications from the Department of Electrical & Computer Engineering, Department of Electrical and Computer Engineering 2013 Optimum Sizing of Distributed Generation and Storage Capacity in Smart Households Salman Kahrobaee University of Nebraska-Lincoln, [email protected] Sohrab Asgarpoor University of Nebraska-Lincoln, [email protected] Wei Qiao University of Nebraska-Lincoln, [email protected] Follow this and additional works at: http://digitalcommons.unl.edu/electricalengineeringfacpub Part of the Computer Engineering Commons, and the Electrical and Computer Engineering Commons Kahrobaee, Salman; Asgarpoor, Sohrab; and Qiao, Wei, "Optimum Sizing of Distributed Generation and Storage Capacity in Smart Households" (2013). Faculty Publications from the Department of Electrical and Computer Engineering. 280. http://digitalcommons.unl.edu/electricalengineeringfacpub/280 This Article is brought to you for free and open access by the Electrical & Computer Engineering, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Faculty Publications from the Department of Electrical and Computer Engineering by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. IEEE TRANSACTIONS ON SMART GRID, VOL. 4, NO. 4, DECEMBER 2013 1791 Optimum Sizing of Distributed Generation and Storage Capacity in Smart Households Salman Kahrobaee, Student Member, IEEE, Sohrab Asgarpoor, Senior Member, IEEE,and Wei Qiao, Senior Member, IEEE Abstract—In the near future, a smart grid will accommodate DI Decision interval in h. customers who are prepared to invest in generation-battery sys- tems and employ energy management systems in order to cut down Time-step of the simulation in h. on their electricity bills.
    [Show full text]
  • Wind Powering America Fy08 Activities Summary
    WIND POWERING AMERICA FY08 ACTIVITIES SUMMARY Energy Efficiency & Renewable Energy Dear Wind Powering America Colleague, We are pleased to present the Wind Powering America FY08 Activities Summary, which reflects the accomplishments of our state Wind Working Groups, our programs at the National Renewable Energy Laboratory, and our partner organizations. The national WPA team remains a leading force for moving wind energy forward in the United States. At the beginning of 2008, there were more than 16,500 megawatts (MW) of wind power installed across the United States, with an additional 7,000 MW projected by year end, bringing the U.S. installed capacity to more than 23,000 MW by the end of 2008. When our partnership was launched in 2000, there were 2,500 MW of installed wind capacity in the United States. At that time, only four states had more than 100 MW of installed wind capacity. Twenty-two states now have more than 100 MW installed, compared to 17 at the end of 2007. We anticipate that four or five additional states will join the 100-MW club in 2009, and by the end of the decade, more than 30 states will have passed the 100-MW milestone. WPA celebrates the 100-MW milestones because the first 100 megawatts are always the most difficult and lead to significant experience, recognition of the wind energy’s benefits, and expansion of the vision of a more economically and environmentally secure and sustainable future. Of course, the 20% Wind Energy by 2030 report (developed by AWEA, the U.S. Department of Energy, the National Renewable Energy Laboratory, and other stakeholders) indicates that 44 states may be in the 100-MW club by 2030, and 33 states will have more than 1,000 MW installed (at the end of 2008, there were six states in that category).
    [Show full text]