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Science Based Coal Phase-Out Timeline for Japan Implications for Policymakers and Investors May 2018
a SCIENCE BASED COAL PHASE-OUT TIMELINE FOR JAPAN IMPLICATIONS FOR POLICYMAKERS AND INVESTORS MAY 2018 In collaboration with AUTHORS Paola Yanguas Parra Climate Analytics Yuri Okubo Renewable Energy Institute Niklas Roming Climate Analytics Fabio Sferra Climate Analytics Dr. Ursula Fuentes Climate Analytics Dr. Michiel Schaeffer Climate Analytics Dr. Bill Hare Climate Analytics GRAPHIC DESIGN Matt Beer Climate Analytics This publication may be reproduced in whole or in part and in any form for educational or non-profit services without special permission from Climate Analytics, provided acknowledgement and/or proper referencing of the source is made. No use of this publication may be made for resale or any other commercial purpose whatsoever without prior permission in writing from Climate Analytics. We regret any errors or omissions that may have been unwittingly made. This document may be cited as: Climate Analytics, Renewable Energy Institute (2018). Science Based Coal Phase-out Timeline for Japan: Implications for policymakers and investors A digital copy of this report along with supporting appendices is available at: www.climateanalytics.org/publications www.renewable-ei.org/activities/reports/20180529.html Cover photo: © xpixel In collaboration with SCIENCE BASED COAL PHASE-OUT TIMELINE FOR JAPAN IMPLICATIONS FOR POLICYMAKERS AND INVESTORS Photo © ImagineStock TABLE OF CONTENTS Executive summary 1 Introduction 5 1 Coal emissions in line with the Paris Agreement 7 2 Coal emissions in Japan 9 2.1 Emissions from current and planned -
Nuclear Power - Conventional
NUCLEAR POWER - CONVENTIONAL DESCRIPTION Nuclear fission—the process in which a nucleus absorbs a neutron and splits into two lighter nuclei—releases tremendous amounts of energy. In a nuclear power plant, this fission process is controlled in a reactor to generate heat. The heat from the reactor creates steam, which runs through turbines to power electrical generators. The most common nuclear power plant design uses a Pressurized Water Reactor (PWR). Water is used as both neutron moderator and reactor coolant. That water is kept separate from the water used to generate steam and drive the turbine. In essence there are three water systems: one for converting the nuclear heat to steam and cooling the reactor; one for the steam system to spin the turbine; and one to convert the turbine steam back into water. The other common nuclear power plant design uses a Boiling Water Reactor (BWR). The BWR uses water as moderator and coolant, like the PWR, but has no separate secondary steam cycle. So the water from the reactor is converted into steam and used to directly drive the generator turbine. COST Conventional nuclear power plants are quite expensive to construct but have fairly low operating costs. Of the four new plants currently under construction, construction costs reportedly range from $4.7 million to $6.3 million per MW. Production costs for Palo Verde Nuclear Generating Station are reported to be less than $15/MWh. CAPACITY FACTOR Typical capacity factor for a nuclear power plant is over 90%. TIME TO PERMIT AND CONSTRUCT Design, permitting and construction of a new conventional nuclear power plant will likely require a minimum of 10 years and perhaps significantly longer. -
A Review of Energy Storage Technologies' Application
sustainability Review A Review of Energy Storage Technologies’ Application Potentials in Renewable Energy Sources Grid Integration Henok Ayele Behabtu 1,2,* , Maarten Messagie 1, Thierry Coosemans 1, Maitane Berecibar 1, Kinde Anlay Fante 2 , Abraham Alem Kebede 1,2 and Joeri Van Mierlo 1 1 Mobility, Logistics, and Automotive Technology Research Centre, Vrije Universiteit Brussels, Pleinlaan 2, 1050 Brussels, Belgium; [email protected] (M.M.); [email protected] (T.C.); [email protected] (M.B.); [email protected] (A.A.K.); [email protected] (J.V.M.) 2 Faculty of Electrical and Computer Engineering, Jimma Institute of Technology, Jimma University, Jimma P.O. Box 378, Ethiopia; [email protected] * Correspondence: [email protected]; Tel.: +32-485659951 or +251-926434658 Received: 12 November 2020; Accepted: 11 December 2020; Published: 15 December 2020 Abstract: Renewable energy sources (RESs) such as wind and solar are frequently hit by fluctuations due to, for example, insufficient wind or sunshine. Energy storage technologies (ESTs) mitigate the problem by storing excess energy generated and then making it accessible on demand. While there are various EST studies, the literature remains isolated and dated. The comparison of the characteristics of ESTs and their potential applications is also short. This paper fills this gap. Using selected criteria, it identifies key ESTs and provides an updated review of the literature on ESTs and their application potential to the renewable energy sector. The critical review shows a high potential application for Li-ion batteries and most fit to mitigate the fluctuation of RESs in utility grid integration sector. -
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. -
Renewable Energy Generator Output – Sample Calculations
Net Metering Program Highlights Net metering will be available to new customers until the size of the program reaches 1% of the electric provider’s previous year system peak in MW. The 1% will be measured against the total of the generator nameplate capacities for all participating customer’s generators and is split into the following tiers: (1) 0.5% for ≤ 20 kW True Net Metering This tier will include almost all residential customers. • Billing is based on net usage. • Customer receives the full retail rate for all excess kWh. • Utility shall use the customer’s existing meter if it is capable of reverse registration (spinning backwards) or install an upgraded meter at no additional cost to the net metering customer. • Utilities with fewer than 1,000,000 customers shall charge net metering customers at cost for an upgraded meter if the customer’s existing meter is not capable of reverse registration (spinning backwards). • A generator meter shall be provided at cost, if requested by the customer. (The generator meter is for the customer’s benefit. Utilities are not obligated to read a customer’s generator meter.) • No interconnection costs (beyond the combined $100 interconnection/net metering application fees), study fees, testing or inspection charges. • Net metering credits carry forward indefinitely. (2) 0.25% for >20 kW up to 150 kW Modified Net Metering • Customers pay full retail rate for electricity deliveries from the utility and receive the generation portion of the retail rate or a wholesale rate for deliveries to the grid. • No charge for the engineering review. • Customers pay all interconnection costs, distribution study fees and any network upgrade costs. -
What Is US Electricity Generation by Energy Source
What is U.S. electricity generation by energy source? - FAQ - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Li FREQUENTLY ASKED QUESTIONS What is U.S. electricity generation by energy source? On This Page: In 2012, the United States generated about 4,054 billion kilowatthours of electricity. About 68% of the electricity Coal generated was from fossil fuel (coal, natural gas, and petroleum), with 37% attributed from coal. Conversion & Equivalents Energy sources and percent share of total electricity generation in 2012 were: Crude Oil Coal 37% Natural Gas 30% Diesel Nuclear 19% Hydropower 7% Electricity Other Renewable 5% Biomass 1.42% Environment Geothermal 0.41% Solar 0.11% Gasoline Wind 3.46% Petroleum 1% General Energy Other Gases < 1% Natural Gas Learn more: Nuclear Monthly Energy Review Prices Last updated: May 9, 2013 Renewables OTHER FAQS ABOUT ELECTRICITY Can I choose the electricity supplier where I live? Can I generate and sell electricity to an electric utility? Full list of upcoming reports Does EIA have city or county-level energy consumption and price data? Sign up for email notifications Does EIA have county-level energy production data? Does EIA have data on each power plant in the United States? Get the What's New RSS feed Does EIA have data on the costs for electricity transmission and distribution? Does EIA have electricity prices by state? Does EIA have information on the service territories of U.S. electric utilities? Does EIA have maps or information on the location of electric power plants and transmission lines in the United States? Didn't find the answer to your Does EIA have projections for energy production, consumption, and prices for individual states? question? Ask an energy expert! Does EIA publish data on peak or hourly electricity generation, demand, and prices? Does EIA publish electric utility rate, tariff, and demand charge data? How is electricity used in U.S. -
Renewable Power Generation Costs in 2019: Latest Trends and Drivers
WEBINAR SERIES Renewable Power Generation Costs in 2019: Latest Trends and Drivers • Michael Taylor, Renewable Cost Status and Outlook team, IRENA TUESDAY, 9 JUNE 2020 • 15:00 – 15:30 CEST WEBINAR SERIES TechTips • Share it with others or listen to it again ➢ Webinars are recorded and will be available together with the presentation slides on #IRENAinsights website https://irena.org/renewables/Knowledge- Gateway/webinars/2020/Jan/IRENA-insights WEBINAR SERIES TechTips • Ask the Question ➢ Select “Question” feature on the webinar panel and type in your question • Technical difficulties ➢ Contact the GoToWebinar Help Desk: 888.259.3826 or select your country at https://support.goto.com/webinar Renewable Power: The True Costs Michael Taylor Senior Analyst, IITC IRENA Costing Analysis Products 2012 2013 2015 2016 2017 2018 2019 2020 5 Costs continuing to fall for RE, solar & wind power in particular In most parts of world RE least-cost source of new electricity: ► 56% of utility-scale capacity added in 2019 cost less than cheapest new coal option Will increasingly undercut even operating costs of existing coal Cost reductions for solar wind are coming from: ► improved technology, economies of scale, more competitive supply chains and developer experience Power generation and PPA/tender databases PPA/Auction database ~11k projects 496 GW Project cost database ~18k projects 7 1775 GW Recent cost evolution • AverageCost reductions LCOE ofcontinue all renewable to 2021/23 power generation technologies, except CSP fall • inUtility fossil-scale -
Understanding Technology, Fuel, Market and Policy Drivers for New York State’S Power Sector Transformation
sustainability Article Understanding Technology, Fuel, Market and Policy Drivers for New York State’s Power Sector Transformation Mine Isik * and P. Ozge Kaplan Office of Research and Development, U.S. Environmental Protection Agency, 109 TW Alexander Dr., Durham, NC 27709, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-919-541-4965 Abstract: A thorough understanding of the drivers that affect the emission levels from electricity generation, support sound design and the implementation of further emission reduction goals are presented here. For instance, New York State has already committed a transition to 100% clean energy by 2040. This paper identifies the relationships among driving factors and the changes in emissions levels between 1990 and 2050 using the logarithmic mean divisia index analysis. The analysis relies on historical data and outputs from techno-economic-energy system modeling to elucidate future power sector pathways. Three scenarios, including a business-as-usual scenario and two policy scenarios, explore the changes in utility structure, efficiency, fuel type, generation, and emission factors, considering the non-fossil-based technology options and air regulations. We present retrospective and prospective analysis of carbon dioxide, sulfur dioxide, nitrogen oxide emissions for the New York State’s power sector. Based on our findings, although the intensity varies by period and emission type, in aggregate, fossil fuel mix change can be defined as the main contributor to reduce emissions. Electricity generation level variations and technical efficiency have relatively smaller impacts. We also observe that increased emissions due to nuclear phase-out will be avoided by the onshore and offshore wind with a lower fraction met by solar until 2050. -
Economics of Power Generation Prepared by the Legislative Finance Committee July 2017 Understanding Electric Power Generation
Economics of Power Generation Prepared by the Legislative Finance Committee July 2017 Understanding Electric Power Generation Following the Great Recession, electricity demand in the United States contracted, and energy efficiency improvements in buildings, lighting, and appliances stunted its recovery. Globally, a slowdown in Chinese coal demand depressed coal prices worldwide and reduced the market for U.S. exports, and coal demand in emerging markets is unlikely to make up for the slowdown in Chinese coal consumption. According to Columbia University’s Center on Global Energy Policy (CGEP), over half of the decline in coal company revenue between 2011 and 2015 is due to international factors.i Given current technological constraints, electricity cannot be stored on a large scale at a reasonable cost. Therefore, entities operating the transmission grid must keep supply and demand matched in “real-time” – from minute to minute. Imbalances in supply and demand can destroy machinery, cause power outages, and become very costly over time. The need to continually balance supply and demand plays a key role in how electricity generation sources are dispatched. In the 1980s, electricity supply was relatively straightforward, with less flexible coal and nuclear plants supplying base load power needs, and more flexible gas turbines and hydroelectric plants supplying peak load power needs. Developments over the last decade challenged this traditional mix of power generation. Natural gas, wind, and solar now meet 40 percent of U.S. power needs, up from 22 percent a decade ago. Early July 2017, The Wall Street Journal reported three of every 10 coal generators has closed permanently in the last five years. -
2015 Renewable Energy Data Book Acknowledgments
2015 Renewable Energy Data Book Acknowledgments This report was produced by Philipp Beiter and Tian Tian, edited by Mike Meshek, and designed by Alfred Hicks of the U.S. Department of Energy's National Renewable Energy Laboratory (NREL). We greatly appreciate the input, review, and support of Assistant Secretary David Friedman, Ookie Ma, Steve Capanna, Paul Basore, Hoyt Battey, Charlie Gay, Susan Hamm, Ian Hamos, Fred Joseck, Benjamin King, Tien Nguyen, Sunita Satyapal, Paul Spitsen, Rich Tusing, Timothy Welch, and Jeff Winick of the U.S. Department of Energy (DOE), as well as Chad Augustine, Jerry Davis, Judi Deitchel, David Feldman, Ran Fu, Bryan Hannegan, Caley Johnson, Henry Johnston, Eric Lantz, Al LiVecchi, Jeff Logan, David Mooney, Robin Newmark, Gian Porro, and Paul Schwabe of NREL. Notes Capacity data are reported in watts of alternating current (AC) unless indicated otherwise. The primary data represented and synthesized in the 2015 Renewable Energy Data Book come from the publicly available data sources identified on page 122. Front page inset photos (left to right): iStock/754519; iStock/4393369; iStock/354309; iStock/2101722; iStock/2574180; iStock/5080552; Leslie Eudy, NREL 17854; iStock/11265066 Page 2: iStock/721000; page 6: iStock/5751076; page 17: photo from Invenergy LLC, NREL 14369; page 41: iStock/750178; page 53: iStock/ 754519; page 63: iStock/4393369; page 71: iStock/354309; page 77: iStock/2101722; page 83: iStock/2574180; page 87: iStock/5080552; page 91: photo by Leslie Eudy, NREL 17854; page 99: iStock/11265066; page 109: iStock/330791; page 119: iStock/3459287 Key Findings • The overall U.S. energy consumption decreased to 97.7 quadrillion British thermal units (Btu) in 2015—a 0.6% decline from 2014. -
Electricity Storage and Renewables: Costs and Markets to 2030
ELECTRICITY STORAGE AND RENEWABLES: COSTS AND MARKETS TO 2030 October 2017 www.irena.org ELECTRICITY STORAGE AND RENEWABLES: COSTS AND MARKETS TO 2030 © IRENA 2017 Unless otherwise stated, material in this publication may be freely used, shared, copied, reproduced, printed and/or stored, provided that appropriate acknowledgement is given of IRENA as the source and copyright holder. Material in this publication that is attributed to third parties may be subject to separate terms of use and restrictions, and appropriate permissions from these third parties may need to be secured before any use of such material. ISBN 978-92-9260-038-9 Citation: IRENA (2017), Electricity Storage and Renewables: Costs and Markets to 2030, International Renewable Energy Agency, Abu Dhabi. About IRENA The International Renewable Energy Agency (IRENA) is an intergovernmental organisation that supports countries in their transition to a sustainable energy future, and it serves as the principal platform for international co-operation, a centre of excellence, and a repository of policy, technology, resource and financial knowledge on renewable energy. IRENA promotes the widespread adoption and sustainable use of all forms of renewable energy, including bioenergy, geothermal, hydropower, ocean, solar and wind energy, in the pursuit of sustainable development, energy access, energy security and low-carbon economic growth and prosperity. www.irena.org Acknowledgements IRENA is grateful for the the reviews and comments of numerous experts, including Mark Higgins (Strategen Consulting), Akari Nagoshi (NEDO), Jens Noack (Fraunhofer Institute for Chemical Technology ICT), Kai-Philipp Kairies (Institute for Power Electronics and Electrical Drives, RWTH Aachen University), Samuel Portebos (Clean Horizon), Keith Pullen (City, University of London), Oliver Schmidt (Imperial College London, Grantham Institute - Climate Change and the Environment), Sayaka Shishido (METI) and Maria Skyllas-Kazacos (University of New South Wales). -
Thermal Energy Storage for Grid Applications: Current Status and Emerging Trends
energies Review Thermal Energy Storage for Grid Applications: Current Status and Emerging Trends Diana Enescu 1,2,* , Gianfranco Chicco 3 , Radu Porumb 2,4 and George Seritan 2,5 1 Electronics Telecommunications and Energy Department, University Valahia of Targoviste, 130004 Targoviste, Romania 2 Wing Computer Group srl, 077042 Bucharest, Romania; [email protected] (R.P.); [email protected] (G.S.) 3 Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy; [email protected] 4 Power Engineering Systems Department, University Politehnica of Bucharest, 060042 Bucharest, Romania 5 Department of Measurements, Electrical Devices and Static Converters, University Politehnica of Bucharest, 060042 Bucharest, Romania * Correspondence: [email protected] Received: 31 December 2019; Accepted: 8 January 2020; Published: 10 January 2020 Abstract: Thermal energy systems (TES) contribute to the on-going process that leads to higher integration among different energy systems, with the aim of reaching a cleaner, more flexible and sustainable use of the energy resources. This paper reviews the current literature that refers to the development and exploitation of TES-based solutions in systems connected to the electrical grid. These solutions facilitate the energy system integration to get additional flexibility for energy management, enable better use of variable renewable energy sources (RES), and contribute to the modernisation of the energy system infrastructures, the enhancement of the grid operation practices that include energy shifting, and the provision of cost-effective grid services. This paper offers a complementary view with respect to other reviews that deal with energy storage technologies, materials for TES applications, TES for buildings, and contributions of electrical energy storage for grid applications.