The Impact of Wind Power Generation on the Electricity Price in Germany
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Trends in Electricity Prices During the Transition Away from Coal by William B
May 2021 | Vol. 10 / No. 10 PRICES AND SPENDING Trends in electricity prices during the transition away from coal By William B. McClain The electric power sector of the United States has undergone several major shifts since the deregulation of wholesale electricity markets began in the 1990s. One interesting shift is the transition away from coal-powered plants toward a greater mix of natural gas and renewable sources. This transition has been spurred by three major factors: rising costs of prepared coal for use in power generation, a significant expansion of economical domestic natural gas production coupled with a corresponding decline in prices, and rapid advances in technology for renewable power generation.1 The transition from coal, which included the early retirement of coal plants, has affected major price-determining factors within the electric power sector such as operation and maintenance costs, 1 U.S. BUREAU OF LABOR STATISTICS capital investment, and fuel costs. Through these effects, the decline of coal as the primary fuel source in American electricity production has affected both wholesale and retail electricity prices. Identifying specific price effects from the transition away from coal is challenging; however the producer price indexes (PPIs) for electric power can be used to compare general trends in price development across generator types and regions, and can be used to learn valuable insights into the early effects of fuel switching in the electric power sector from coal to natural gas and renewable sources. The PPI program measures the average change in prices for industries based on the North American Industry Classification System (NAICS). -
Best Electricity Market Design Practices
In My View Best Electricity Market Design Practices William W. Hogan (forthcoming in IEEE Power & Energy) Organized wholesale electricity markets in the United States follow the principles of bid-based, security-constrained, economic dispatch with locational marginal prices. The basic elements build on analyses done when large thermal generators dominated the structure of the electricity market in most countries. Notable exceptions were countries like Brazil that utilized large-scale pondage hydro systems. For such systems, the critical problem centered on managing a multi- year inventory of stored water. But for most developed electricity systems, the dominance of thermal generation implied that the major interactions in unit commitment decisions would be measured in hours to days, and the interactions in operating decisions would occur over minutes to hours. As a result, single period economic dispatch became the dominant model for analyzing the underlying basic principles. The structure of this analysis Figure 1: Spot Market integrated the terminology of economics and engineering. As shown in SHORT-RUN ELECTRICITY MARKET Figure 1: Spot Market, the Energy Price Short-Run (¢/kWh) Marginal increasing short-run Cost Price at marginal cost of generation 7-7:30 p.m. defined the dispatch stack or supply curve. Thermal Demand efficiencies and fuel cost 7-7:30 p.m. Price at were the primary sources 9-9:30 a.m. of short-run generation cost Price at Demand differences. The 2-2:30 a.m. 9-9:30 a.m. introduction of markets Demand 2-2:30 a.m. added the demand Q1 Q2 Qmax perspective, where lower MW prices induced higher loads. -
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 -
Electricity Delivery Superseding Nhpuc No
NHPUC NO. 10 – ELECTRICITY DELIVERY SUPERSEDING NHPUC NO. 9 – ELECTRICITY DELIVERY NHPUC NO. 10 – ELECTRICITY DELIVERY PUBLIC SERVICE COMPANY OF NEW HAMPSHIRE DBA EVERSOURCE ENERGY TARIFF FOR ELECTRIC DELIVERY SERVICE in Various towns and cities in New Hampshire, served in whole or in part. (For detailed description, see Service Area) Issued: December 23, 2020 Issued by: /s/ Joseph A. Purington Joseph A. Purington Effective: January 1, 2021 Title: President, NH Electric Operations NHPUC NO. 10 - ELECTRICITY DELIVERY Original Page 1 PUBLIC SERVICE COMPANY OF NEW HAMPSHIRE DBA EVERSOURCE ENERGY TABLE OF CONTENTS Page TERMS AND CONDITIONS FOR DELIVERY SERVICE 1. Service Area .............................................................................................................. 5 2. Definitions.................................................................................................................. 7 3. General ....................................................................................................................... 9 4. Availability ................................................................................................................ 10 5. Application, Contract and Commencement of Service.............................................. 10 6. Selection of Supplier or Self-Supply Service by a Customer .................................... 11 7. Termination of Supplier Service or Self-Supply Service .......................................... 12 8. Unauthorized Switching of Suppliers ....................................................................... -
DOE's Office of Electricity Delivery and Energy Reliability
DOE’s Office of Electricity Delivery and Energy Reliability (OE): A Primer, with Appropriations for FY2017 Updated December 13, 2016 Congressional Research Service https://crsreports.congress.gov R44357 DOE’s Office of Electricity Delivery and Energy Reliability (OE) Summary The nation’s energy infrastructure is undergoing a major transformation. For example, new technologies and changes in electricity flows place increasing demands on the electric power grid. These changes include increased use of distributed (mostly renewable energy) resources, Internet- enabled demand response technologies, growing loads from electric vehicle use, continued expansion of natural gas use, and integration of energy storage devices. The Department of Energy’s (DOE’s) Office of Electricity Delivery and Energy Reliability (OE) has the lead role in addressing those infrastructure issues. OE is also responsible for the physical security and cybersecurity of all (not just electric power) energy infrastructure. Further, OE has a key role in developing energy storage, supporting the grid integration of renewable energy, and intergovernmental planning for grid emergencies. As an illustration of the breadth of its activities, OE reports that, during FY2014, its programs responded to 24 energy-related emergency events, including physical security events, wildfires, severe storms, fuel shortages, and national security events. OE manages five types of research and development (R&D) programs, usually conducted in cost- shared partnership with private sector firms. OE also operates two types of deployment programs, conducted mainly with state and tribal governments. Each OE program office has its own set of goals and objectives. OE plays the central role in two of DOE’s broad cross-cutting initiatives: grid modernization and cybersecurity. -
U.S. Power Sector Outlook 2021 Rapid Transition Continues to Reshape Country’S Electricity Generation
Dennis Wamsted, IEEFA Energy Analyst 1 Seth Feaster, IEEFA Data Analyst David Schlissel, IEEFA Director of Resource Planning Analysis March 2021 U.S. Power Sector Outlook 2021 Rapid Transition Continues To Reshape Country’s Electricity Generation Executive Summary The scope and speed of the transition away from fossil fuels, particularly coal, has been building for the past decade. That transition, driven by the increasing adoption of renewable energy and battery storage, is now nearing exponential growth, particularly for solar. The impact in the next two to three years is going to be transformative. In recognition of this growth, IEEFA’s 2021 outlook has been expanded to include separate sections covering wind and solar, battery storage, coal, and gas— interrelated segments of the power generation sector that are marked by vastly different trajectories: • Wind and solar technology improvements and the resulting price declines have made these two generation resources the least-cost option across much of the U.S. IEEFA expects wind and solar capacity installations to continue their rapid rise for the foreseeable future, driven not only by their cost advantage but also by their superior environmental characteristics. • Coal generation capacity has fallen 32% from its peak 10 years ago—and its share of the U.S. electricity market has fallen even faster, to less than 20% in 2020. IEEFA expects the coal industry’s decline to accelerate as the economic competition from renewables and storage intensifies; operational experience with higher levels of wind and solar grows; and public concern about climate change rises. • Gas benefitted in the 2010s from the fracking revolution and the assumption that it offered a bridge to cleaner generation. -
Comparing Electricity Generation Technologies Based on Multiple Criteria Scores from an Expert Group
Comparing electricity generation technologies based on multiple criteria scores from an expert group Euan Mearns*1 and Didier Sornette1.2 ETH Zurich 1Department of Management, Technology and Economics Scheuchzerstrasse 7 , CH-8092 Zurich, Switzerland 2Institute of Risk Analysis, Prediction and Management (Risks-X), Academy for Advanced Interdisciplinary Studies, Southern University of Science and Technology (SUSTech), Shenzhen, 518055, China [email protected] [email protected] * Corresponding author. Highlights: • 13 common electricity generation technologies were evaluated using multi criteria decision analysis (MCDA) where values were assigned by the expert judgment of a professional group. • A hierarchical scheme of 12 criteria organized into 5 categories of health, environment, grid, economics and resources was used to provide a holistic measure of energy quality. • The three leading technologies to emerge are nuclear power, combined cycle gas and hydroelectric power. The three trailing technologies are solar PV, biomass and tidal lagoon. • Our findings are consistent with the baseline cost approach of the 2004-2009 EU funded NEEDS project but contrast sharply with the MCDA survey of the same project that found CaTe solar PV and solar thermal power to be the most promising technologies for central Europe. Abstract: Multi criteria decision analysis (MCDA) has been used to provide a holistic evaluation of the quality of 13 electricity generation technologies in use today. A group of 19 energy experts cast scores on a scale of 1 to 10 using 12 quality criteria – based around the pillars of sustainability – society, environment and economy - with the aim of quantifying each criterion for each technology. The total mean score is employed as a holistic measure of system quality. -
Challenges Facing Combined Heat and Power Today: a State-By-State Assessment
Challenges Facing Combined Heat and Power Today: A State-by-State Assessment Anna Chittum and Nate Kaufman September 2011 Report Number IE111 © American Council for an Energy-Efficient Economy 529 14th Street, N.W., Suite 600, Washington, D.C. 20045 (202) 507-4000 phone, (202) 429-2248 fax, www.aceee.org Challenges Facing Combined Heat and Power Today, © ACEEE CONTENTS Executive Summary ...................................................................................................................................... iii Acknowledgments ......................................................................................................................................... v Glossary ........................................................................................................................................................ vi Introduction.................................................................................................................................................... 1 Combined Heat and Power Today ........................................................................................................... 1 Methodology ............................................................................................................................................. 5 Part I: General Findings ................................................................................................................................ 6 Economics ............................................................................................................................................... -
Cogeneration in Louisiana 2005
COGENERATION IN LOUISIANA AN UPDATED (2005) TABULATION OF INDEPENDENT POWER PRODUCER (IPP) AND COGENERATION FACILITIES Prepared by David McGee/Patty Nussbaum THE TECHNOLOGY ASSESSMENT DIVISION T. Michael French, P. E. Director William J. Delmar, Jr. P. E. Assistant Director LOUISIANA DEPARTMENT OF NATURAL RESOURCES SCOTT A. ANGELLE SECRETARY Baton Rouge June, 2006 COGENERATION IN LOUISIANA AN UPDATED (2005) TABULATION OF INDEPENDENT POWER PRODUCER (IPP) AND COGENERATION FACILITIES Prepared by David McGee/Patty Nussbaum THE TECHNOLOGY ASSESSMENT DIVISION T. Michael French, P. E. Director William J. Delmar, Jr. P. E. Assistant Director LOUISIANA DEPARTMENT OF NATURAL RESOURCES SCOTT A. ANGELLE SECRETARY Baton Rouge June, 2006 This issue of Cogeneration in Louisiana, (2005) is funded 100% with Petroleum Violation Escrow Funds as part of the State Energy Conservation Program as approved by the U. S. Department of Energy and the Department of Natural Resources. This report is only available in an electronic format on the World Wide Web. Most materials produced by the Technology Assessment Division of the Louisiana Department of Natural Resources, are intended for the general use of the citizens of Louisiana, and are therefore entered into the public domain. You are free to reproduce these items with reference to the Division as the source. Some items included in our publication are copyrighted either by their originators or by contractors for the Department. To use these items it is essential you contact the copyright holders for permission before you reuse these materials TABLE OF CONTENTS COGENERATION IN LOUISIANA UPDATE (2005) Page no. LIST OF TABLES ii LIST OF FIGURES iii LIST OF EXHIBITS iv ABBREVIATIONS AND CODES v-vii BACKGROUND 1 IMPACT OF 2005 HURRICANE SEASON IN LOUISIANA 3 COGENERATION IN LOUISIANA 5 THE ENERGY POLICY ACT OF 2005 7 CONCLUSION 9 ABBREVIATIONS AND ACRONYSMS 10 GLOSSARY 11-13 SELECTED BIBLIOGRAPHY 14 EXHIBITS LIST OF TABLES PAGE Table 1 Potential Benefits of Distributed Generation 7 Table 2. -
Wind Energy Glossary
Wind Energy Glossary Accelerated Depreciation – With accelerated meet minimum demands based on reasonable depreciation, wind energy projects can reduce the expectations of customer requirements. Base load assessed value of their equipment on their financial values typically vary from hour to hour in most balance sheets over a shorter period of time. commercial and industrial areas. Also known as bas load demand. Access Roads – Roads that allow access to wind energy project sites and individual wind turbine Battery – For most wind energy projects, battery locations during the development, construction and systems are cost-prohibitive and not considered the operational phases of a project. Access roads are commercially viable to include as part of a constructed for long-term use and are built to commercial or utility-scale wind farm development accommodate heavy equipment and maintenance project for alternative energy; may also be called vehicles throughout the life of the project. galvanic battery or voltaic battery. Air Pollution – The addition of harmful chemicals to Beaufort Scale – A scale used to classify wind speeds, the atmosphere that often result from the burning of devised in 1805 by Admiral Francis Beaufort of the fossil fuels, especially in internal combustion engines. British Navy. Alternative Energy – Energy that is produced from Blades – The large “arms” of wind turbines that alternative energy sources such as solar, wind or extend from the hub of a generator. Most turbines nuclear energy that serves as alternative energy have either two or three blades. Wind blowing over forms that produce traditional fossil-fuel sources the blades causes the blades to “lift” and rotate. -
Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them
BENEFITS OF DEMAND RESPONSE IN ELECTRICITY MARKETS AND RECOMMENDATIONS FOR ACHIEVING THEM A REPORT TO THE UNITED STATES CONGRESS PURSUANT TO SECTION 1252 OF THE ENERGY POLICY ACT OF 2005 Price of Demand Electricity Supply Supply DemandDR P PDR QDR Q Quantity of Electricity February 2006 . U.S. Department of Energy ii U.S. Department of Energy Benefits of Demand Response and Recommendations The Secretary [of Energy] shall be responsible for… not later than 180 days after the date of enactment of the Energy Policy Act of 2005, providing Congress with a report that identifies and quantifies the national benefits of demand response and makes a recommendation on achieving specific levels of such benefits by January 1, 2007. --Sec. 1252(d), the Energy Policy Act of 2005, August 8, 2005 U.S. Department of Energy Benefits of Demand Response and Recommendations iii iv U.S. Department of Energy Benefits of Demand Response and Recommendations EXECUTIVE SUMMARY Sections 1252(e) and (f) of the U.S. Energy Policy Act of 2005 (EPACT)1 state that it is the policy of the United States to encourage “time-based pricing and other forms of demand response” and encourage States to coordinate, on a regional basis, State energy policies to provide reliable and affordable demand response services to the public. The law also requires the U.S. Department of Energy (DOE) to provide a report to Congress, not later than 180 days after its enactment, which “identifies and quantifies the national benefits of demand response and makes a recommendation on achieving specific levels of such benefits by January 1, 2007” (EPACT, Sec. -
Modernizing the U.S. Electrical Grid
Transmission Innovation Symposium Modernizing the U.S. Electrical Grid Chen-Ching Liu Electricity Transmission Virginia Polytechnic Institute and State System Research University and Development: Emma M. Stewart Distribution Integrated Lawrence Livermore National Laboratory with Transmission Operations Prepared for the Transmission Reliability and Renewable Integration Program Advanced Grid R&D, Office of Electricity US Department of Energy April 2021 Electricity Transmission System Research and Development: Distribution Integrated with Transmission Operations Transmission Innovation Symposium: Modernizing the U.S. Electric Grid 2021 White Papers Prepared for the Office of Electricity U.S. Department of Energy Principal Authors Chen-Ching Liu Power and Energy Center Virginia Polytechnic Institute and State University Emma M. Stewart Lawrence Livermore National Laboratory April 2021 The work described in this study has been authored by authors at Virginia Polytechnic Institute and State University, under a subcontract from Lawrence Berkeley National Laboratory Contract No. DE-AC02-05CH11231, and Lawrence Livermore National Laboratory under Contract No. DE-AC52-07NA27344 with the U.S. Department of Energy. Disclaimer This work was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, nor any of their contractors, subcontractors or their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or any third party’s use or the results of such use of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof or its contractors or subcontractors.