Solar and Storage for Cities
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NRS 058: Cost of Supply Methodology
NRS 058(Int):2000 First edition reconfirmed Interim Rationalized User Specification COST OF SUPPLY METHODOLOGY FOR APPLICATION IN THE ELECTRICAL DISTRIBUTION INDUSTRY Preferred requirements for applications in the Electricity Distribution Industry N R S NRS 058(Int):2000 2 This Rationalized User Specification is issued by the NRS Project on behalf of the User Group given in the foreword and is not a standard as contemplated in the Standards Act, 1993 (Act 29 of 1993). Rationalized user specifications allow user organizations to define the performance and quality requirements of relevant equipment. Rationalized user specifications may, after a certain application period, be introduced as national standards. Amendments issued since publication Amdt No . Date Text affected Correspondence to be directed to Printed copies obtainable from South African Bureau of Standards South African Bureau of Standards (Electrotechnical Standards) Private Bag X191 Private Bag X191 Pretoria 0001 Pretoria 0001 Telephone: (012) 428-7911 Fax: (012) 344-1568 E-mail: [email protected] Website: http://www.sabs.co.za COPYRIGHT RESERVED Printed on behalf of the NRS Project in the Republic of South Africa by the South African Bureau of Standards 1 Dr Lategan Road, Groenkloof, Pretoria 1 NRS 058(Int):2000 Contents Page Foreword ................................................................................................................................ 3 Introduction............................................................................................................................ -
Bioenergy's Role in Balancing the Electricity Grid and Providing Storage Options – an EU Perspective
Bioenergy's role in balancing the electricity grid and providing storage options – an EU perspective Front cover information panel IEA Bioenergy: Task 41P6: 2017: 01 Bioenergy's role in balancing the electricity grid and providing storage options – an EU perspective Antti Arasto, David Chiaramonti, Juha Kiviluoma, Eric van den Heuvel, Lars Waldheim, Kyriakos Maniatis, Kai Sipilä Copyright © 2017 IEA Bioenergy. All rights Reserved Published by IEA Bioenergy IEA Bioenergy, also known as the Technology Collaboration Programme (TCP) for a Programme of Research, Development and Demonstration on Bioenergy, functions within a Framework created by the International Energy Agency (IEA). Views, findings and publications of IEA Bioenergy do not necessarily represent the views or policies of the IEA Secretariat or of its individual Member countries. Foreword The global energy supply system is currently in transition from one that relies on polluting and depleting inputs to a system that relies on non-polluting and non-depleting inputs that are dominantly abundant and intermittent. Optimising the stability and cost-effectiveness of such a future system requires seamless integration and control of various energy inputs. The role of energy supply management is therefore expected to increase in the future to ensure that customers will continue to receive the desired quality of energy at the required time. The COP21 Paris Agreement gives momentum to renewables. The IPCC has reported that with current GHG emissions it will take 5 years before the carbon budget is used for +1,5C and 20 years for +2C. The IEA has recently published the Medium- Term Renewable Energy Market Report 2016, launched on 25.10.2016 in Singapore. -
Gridpoint to Manage Wind Power Battery Storage
November 19, 2008 by: Jeff St John GridPoint to Manage Wind Power Battery Storage The smart grid technology startup has inked a deal with Xcel Energy to manage storing wind power in batteries when demand is low and drawing on it when it’s needed most. Smart grid startup GridPoint Inc. got into the utility “Energy storage has the potential to eliminate the power storage business Tuesday, announcing that need for that frming resource,” Corsell said. He utility Xcel Energy had chosen its software to wouldn’t disclose how much GridPoint would be manage a wind power battery storage project. paid for the deal. Arlington, Va.-based GridPoint will control the Beyond reducing the need for frming power, flow of power between an 11-megawatt wind batteries can allow wind power to be stored when farm in Luverne, Minn. and NGK Insulators’ prices for power are cheap and sold at peak- 1-megawatt, sodium-sulfur battery that is capable price times in the afternoons - a key part of what of holding 7.2 megawatt-hours of energy, the GridPoint’s software will allow Xcel to do, Corsell companies announced. The battery storage project said. is expected to be complete in January 2009. GridPoint’s software platform will also be While GridPoint has managed some small-scale tracking the battery system’s performance for the storage for distributed energy generated at homes University of Minnesota, the National Renewable or businesses, Tuesday’s announcement was a frst Energy Laboratory and the Great Plains Institute. for GridPoint in the management of utility-scale power storage, Corsell said. -
Technical and Economic Aspects of Load Following with Nuclear Power Plants
Nuclear Development June 2011 www.oecd-nea.org Technical and Economic Aspects of Load Following with Nuclear Power Plants NUCLEAR ENERGY AGENCY Nuclear Development Technical and Economic Aspects of Load Following with Nuclear Power Plants © OECD 2011 NUCLEAR ENERGY AGENCY ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT Foreword Nuclear power plants are used extensively as base load sources of electricity. This is the most economical and technically simple mode of operation. In this mode, power changes are limited to frequency regulation for grid stability purposes and shutdowns for safety purposes. However for countries with high nuclear shares or desiring to significantly increase renewable energy sources, the question arises as to the ability of nuclear power plants to follow load on a regular basis, including daily variations of the power demand. This report considers the capability of nuclear power plants to follow load and the associated issues that arise when operating in a load following mode. The report was initiated as part of the NEA study “System effects of nuclear power”. It provided a detailed analysis of the technical and economic aspects of load-following with nuclear power plants, and summarises the impact of load-following on the operational mode, fuel performance and ageing of large equipment components of the plant. 3 Acknowledgements Valuable comments and contributions were received from Mr. Philippe Lebreton, Electricité de France, Dr. Holger Ludwig, Areva GMBH, Dr. Michael Micklinghoff, E.ON Kernkraft and Dr. M.A.Podshibyakin, OKB “GIDROPRESS”. This report was prepared by Dr. Alexey Lokhov of the NEA Nuclear Development Division. Detailed review and comments were provided by Dr. -
An Analysis of Load Factors in Generation Power Plants
Does vertical integration have an effect on load factor? – A test on coal-fired plants in England and Wales N° 2006-03 February 2006 José A. LÓPEZ Électricité de France Evens SALIES OFCE Does vertical integration have an effect on load factor? – A test on coal-fired plants in England and Wales * José A. LÓPEZ** Électricité de France Evens SALIES*** OFCE Abstract Today in the British electricity industry, most electricity suppliers hedge a large proportion of their residential customer base requirements by owning their own plant. The non-storability of electricity and the corresponding need for an instantaneous matching of generation and consumption creates a business need for integration. From a sample of half-hour data on load factor for coal-fired power plants in England and Wales, this paper tests the hypothesis that vertical integration with retail businesses affects the extent to which producers utilize their capacity. We also pay attention to this potential effect during periods of peak demand. Keywords: panel data, vertical integration, electricity supply. JEL Classification:C51, L22, Q41. * Acknowledgements: we thank Guillaume Chevillon, Lionel Nesta and Vincent Touzé for their comments and suggestions. The authors are solely responsible for the opinion defended in this paper and errors. ** [email protected]; *** [email protected], corresponding author. Table of contents 1 Introduction ....................................................................................................... p. 1 2 Vertical integration as a natural structure in an industry subject to particularities..................................................................................................... p. 4 2.1 Fragmentation of UK coal-fired electricity generation capacity....................p. 4 2.2 Drivers behind vertical integration.................................................................p. 4 2.2.1 Hedging customers .............................................................................p. -
Understanding Load Factor Implications for Specifying Onsite Generators
tecHnical article Understanding load factor implications for specifYing onsite generators One of the important steps in sizing generator sets for any application is to determine the application’s average load factor. Understanding this parameter is essential not only for proper power system sizing but also for operability and reliability. By ISO-8528-1 limits the 24-hour average load factor average load factor. It also suggests strategies to Brandon Kraemer on most standby generator sets to 70 percent of ensure backup power availability during extended Application Engineering Supervisor MTU Onsite Energy Corporation nameplate capacity. For utility outages lasting a utility outages and in applications with minimal few minutes or a few hours, one or two times a load profile variability. year, standby generator sets are designed to be loaded to 100 percent of nameplate capacity for the duration of the outage. However, if an outage average load factor lasts days instead of hours and figUre 1. average load factor the standby power system is The average load factor of a power system is loaded to 100 percent of its determined by evaluating the amount of load and nameplate capacity, it is likely the amount of time the generator set is operating that the 24-hour average load at that load. Since the loads are normally variable, 90 will exceed the power system’s the result is found by calculating multiple load 80 design parameters. levels and time periods. See Figure 1 for a graph 70 % of rated power (P) 70 of a hypothetical standby load profile: 60 While running a generator 50 set at an average load factor In Figure 1, the 24-hour average load factor is over 70 percent is unlikely to derived from the formula shown under the graph, result in a catastrophic failure where P is power in kW and t is time. -
IPGCL MYT Petition for the Period FY 07-08 to FY 10-11 46C401E1
IPGCL MYT Petition for the Period FY 07-08 to FY 10-11 BEFORE THE DELHI ELECTRICITY REGULATORY COMMISSION Filing No: Case No. : IN THE MATTER OF Filing of Multi Year Tariff Petition under section 62 of the Electricity Act, 2003 for determination of Generation Tariff for the Financial Year FY 2007-08 to FY 2010-11 and truing up for FY 2006-07. AND IN THE MATTER OF Indraprastha Power Generation Company Limited “Himadri”, Rajghat Power House Complex, New Delhi - 110002 PETITIONER THE APPLICANT ABOVE NAMED RESPECTFULLY SUBMITS 46C401E1-6D3D-084570.doc Page 1 of 51 IPGCL MYT Petition for the Period FY 07-08 to FY 10-11 Table of Contents Chapter 1 : Background..............................................................................................4 1.1 Introduction.....................................................................................................4 1.2 Brief Company Profile ...................................................................................4 Chapter 2 : Submissions ...............................................................................................6 2.1 Submission Plan ..............................................................................................6 2.2 Financial Viability of IPGCL and prayer to the Commission.................6 Chapter 3 : Estimation of Plant wise Variable & Fixed Cost...............................14 3.1 Estimation of Variable Cost .......................................................................14 3.1.1 Norms for Operation............................................................................14 -
Battery Energy Storage System for Peak Shaving and Voltage Unbalance Mitigation
International Journal of Smart Grid and Clean Energy Battery energy storage system for peak shaving and voltage unbalance mitigation Kein Huat Chua*, Yun Seng Lim, Stella Morrisa Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Jalan Genting Klang, 53300, Kuala Lumpur, Malaysia Abstract Over the last decade, the battery energy storage system (BESS) has become one of the important components in smart grid for enhancing power system performance and reliability. This paper presents a strategy to shave the peak demand and mitigate the voltage unbalance of the electrical networks using a BESS. The BESS is developed to reduce the peak demand and consequently the electricity bill of customers. With the foreseeable large use of BESS, the stress of utility companies can be reduced during high peak power demands. BESS is also equipped with the ability to mitigate voltage unbalance of the network. This indirectly improves the efficiency which in turn, prolongs the life span of three phase machines. The proposed strategy to control BESS has been developed by using the LabVIEWTM graphical programming software. An experimental test bed has been setup at the Universiti Tunku Abdul Rahman (UTAR) campus to evaluate the performance of the system. The experimental results show that the BESS can effectively restrict the power demand from exceeding the pre-determined value and suppress the voltage unbalance factor within the recommended value. Keywords: Battery energy storage system, peak demand shaving, voltage unbalance 1. Introduction Power demand varies from time to time in accordance with customers’ activities. To ensure that the varying power demand is met at all times, smaller capacity power plants such as gas power plants are usually used as standby plants during the peak demand hours. -
U.S. Electric Company Investment and Innovation in Energy Storage Leading the Way U.S
June 2021 Leading the Way U.S. Electric Company Investment and Innovation in Energy Storage Leading the Way U.S. ELECTRIC COMPANY INVESTMENT AND INNOVATION IN ENERGY STORAGE Table of Contents CASE STUDIES CenterPoint Energy (In alphabetical order by holding company) 14 Solar Plus Storage Project AES Corporation Consolidated Edison Company of New York AES Indiana 15 Commercial Battery Storage 1 Harding Street Station Battery (Beyond Behind-the-Meter) Energy Storage System 16 Gateway Center Mall Battery 17 Ozone Park Battery Alliant Energy Dominion Energy 2 Decorah Energy Storage Project 3 Marshalltown Solar Garden and Storage 18 Bath County Pumped Storage Station 4 Sauk City Microgrid 5 Storage System Solar Demonstration Project DTE Energy 6 Wellman Battery Storage 19 EV Fast Charging-Plus-Storage Pilot Ameren Corporation Duke Energy Ameren Illinois 20 Rock Hill Community 9 MW Battery System 7 Thebes Battery Project 21 Camp Atterbury Microgrid 22 Nabb Battery Site Avangrid New York State Electric & Gas Edison International 8 Aggregated Behind-the-Meter Energy Storage Southern California Edison 9 Distribution Circuit Deployed Battery 23 Alamitos Energy Storage Storage System Pilot Project 24 Ice Bear 25 John S. Eastwood Pumped Storage Plant Rochester Gas & Electric Corporation 26 Mira Loma Substation Battery Storage Project 10 Integrated Electric Vehicle Charging & Battery Storage System Green Mountain Power 11 Peak Shaving Pilot Project 27 Essex Solar and Storage Microgrid 28 Ferrisburgh Solar and Storage Microgrid Berkshire Hathaway Energy 29 Milton Solar and Storage Microgrid MidAmerican Energy Company Hawaiian Electric Companies 12 Knoxville Battery Energy Storage System 30 Schofield Hawaii Public Purpose Microgrid PacifiCorp – Rocky Mountain Power 13 Soleil Lofts Virtual Power Plant i Leading the Way U.S. -
Press Release Re Conclusion of State of NY Public Svc Commission
THURSDAY AM DECEMBER 4, 1969 PSC CONCLUDES INVESTIGATION OF CON ED ELECTRIC SUPPLY New York, Dec. 3 The Public Service Commnission announced today the conclusion of its investigation of the pas t and future power supply situation in the territory served by'Consolidated Edison Company of New York, Inc., with .the approval of a 14,000-word opinion by Commissioner: John T. Ryan which after a review of the power situation in New York City and Westchester for 1969 and future years found ° 1. Con Ed did not have a sufficient reserve capacity in 1969 with a resultant requirement that it reduced voltage on several days, requested large power users to curtail consumption on four days and made similar requests to the general public on three days. 2. The company's power deficiency situation- "on any of those days was not sufficiently grave to warrant fear on the par-t of the public that a 'blackout' was imminent. No such 'blackout' occurred," 3. Due to its inability to complete construction of proposed additions to its generating facilities, Con Ed "may be unable (part-icu-larly in the first part of the summer of 1970) to supply all demands made upon it by all of its customers without again reducing voltage, shedding load or by the use of other means." 4. Con Ed's Revised Ten Year Plan "would appear to be adequate to meet the demands of its customers for power in future yea-rs- -doveo6d by the plan if it is able to carry it out as.scheduled,". somethihg it has been prevented from doing in the past. -
Chapter 10, Peak Demand and Time-Differentiated Energy
Chapter 10: Peak Demand and Time-Differentiated Energy Savings Cross-Cutting Protocols Frank Stern, Navigant Consulting Subcontract Report NREL/SR-7A30-53827 April 2013 Chapter 10 – Table of Contents 1 Introduction .............................................................................................................................2 2 Purpose of Peak Demand and Time-differentiated Energy Savings .......................................3 3 Key Concepts ..........................................................................................................................5 4 Methods of Determining Peak Demand and Time-Differentiated Energy Impacts ...............7 4.1 Engineering Algorithms ................................................................................................... 7 4.2 Hourly Building Simulation Modeling ............................................................................ 7 4.3 Billing Data Analysis ....................................................................................................... 8 4.4 Interval Metered Data Analysis ....................................................................................... 8 4.5 End-Use Metered Data Analysis ...................................................................................... 8 4.6 Survey Data on Hours of Use .......................................................................................... 9 4.7 Combined Approaches ..................................................................................................... 9 -
Smartgridcity™ Demonstration Project Evaluation Summary
SmartGridCity™ Demonstration Project Evaluation Summary October 21, 2011 Prepared by: 2240 Blake Street, Suite100 Denver, Colorado 80205 (303) 679-8340 www.metavu.com Authors: Paul Alvarez, Kalin Fuller, David Teplinsky, and A. Kristoffer Torvik. i PREFACE Electric distribution grids across the U.S. consist of aging infrastructure in need of upgrades. Coincidentally, customers are demanding greater efficiency and services from the grid at the same time that reliability challenges – from distributed generation such as PV Solar and demanding loads such as Electric Vehicles – loom on the horizon. U.S. utilities are considering how best to modernize their grids in a manner that optimizes investments and maximizes associated benefits, thereby creating value for customers for the least cost and risk. In 2008 Xcel Energy, through its subsidiary Public Service Company of Colorado (“PSCO”), designed the most comprehensive smart grid demonstration project in the U.S. integrating generation, transmission, and distribution through grid data collection and analysis. The project was the Company’s approach to comprehensively understand how best to modernize its grid. The Company was interested in learning which capabilities were feasible, which were advisable, and which were ill-advised. The purpose of this report is to review the outcomes of the evaluation phase of the demonstration project. While designed primarily to serve as an input to PSCO grid development strategy, it is intended that the document proves useful for all readers, including policy makers, customer advocates, the electric utility industry, and technology providers. Throughout the evaluation phase MetaVu was offered full access to PSCO people, processes, and data. The evaluation phase could not have been completed without dedicated efforts from PSCO employees and business functions too numerous to mention.