Electricity Market Report July 2021 INTERNATIONAL ENERGY AGENCY
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International Centre for Settlement of Investment Disputes
Case 1:18-cv-01461-RJL Document 11-8 Filed 09/28/18 Page 1 of 37 International Centre for Settlement of Investment Disputes Case No. ARB/13/1 Karkey Karadeniz Elektrik Uretim A.S. Claimant v. Islamic Republic of Pakistan Respondent Request for Annulment of the Award dated August 22, 2017 in the case of Karkey Karadeniz Elektrik Uretim A.S. v. the Islamic Republic of Pakistan October 27, 2017 Mr. Ahmad I. Aslam Head International Disputes Unit Office of the Attorney General of Pakistan Islamabad - Pakistan Dr. Ignacio Torterola Dr. Diego Brian Gosis Mr. Quinn Smith GST LLP 1875 I Street N.W. 5th Floor Washington, D.C. 20006 Mr. Shahab Qutub Mr. Sameer Khosa Axis Law Chambers 5-S Gulberg II Lahore 54660 Pakistan Case 1:18-cv-01461-RJL Document 11-8 Filed 09/28/18 Page 2 of 37 TABLE OF CONTENTS GLOSSARY OF ABBREVIATED TERMS AND ACRONYMS ............................................ 3 FORMAL REQUIREMENTS ............................................................................................. 7 IDENTIFICATION OF THE AWARD .......................................................................................... 7 DATE OF THE REQUEST FOR ANNULMENT ............................................................................ 7 GROUNDS FOR ANNULMENT ................................................................................................ 7 PAYMENT OF THE REGISTRATION FEE .................................................................................. 8 RELEVANT FACTS ........................................................................................................... -
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). -
Printer Tech Tips—Cause & Effects of Static Electricity in Paper
Printer Tech Tips Cause & Effects of Static Electricity in Paper Problem The paper has developed a static electrical charge causing an abnormal sheet-to- sheet or sheet-to-material attraction which is difficult to separate. This condition may result in feeder trip-offs, print voids from surface contamination, ink offset, Sappi Printer Technical Service or poor sheet jog in the delivery. 877 SappiHelp (727 7443) Description Static electricity is defined as a non-moving, non-flowing electrical charge or in simple terms, electricity at rest. Static electricity becomes visible and dynamic during the brief moment it sparks a discharge and for that instant it’s no longer at rest. Lightning is the result of static discharge as is the shock you receive just before contacting a grounded object during unusually dry weather. Matter is composed of atoms, which in turn are composed of protons, neutrons, and electrons. The number of protons and neutrons, which make up the atoms nucleus, determine the type of material. Electrons orbit the nucleus and balance the electrical charge of the protons. When both negative and positive are equal, the charge of the balanced atom is neutral. If electrons are removed or added to this configuration, the overall charge becomes either negative or positive resulting in an unbalanced atom. Materials with high conductivity, such as steel, are called conductors and maintain neutrality because their electrons can move freely from atom to atom to balance any applied charges. Therefore, conductors can dissipate static when properly grounded. Non-conductive materials, or insulators such as plastic and wood, have the opposite property as their electrons can not move freely to maintain balance. -
2021 Salary Projection Survey Summary
2021 Salary Projection Survey Insights on compensation trends expected in 2021 - Summary report 38th edition | September 2020 Table of contents 1 Introduction 2 Compensation consulting 3 Participant profile 6 Survey highlights 8 Historical base salary increase trend 9 Base salary 11 Salary structure 13 Survey participants 22 Notice 22 For more information Introduction The results presented in this report are an analysis of responses collected between July and August 2020 to the 38th edition of Morneau Shepell’s 2021 Salary Projection Survey. The data represents a broad cross-section of industries representing 889 organizations across Canada and provides data on actual salary budget increase percentages for the past and current years, along with projected increases for next year. • The report contains segmented data and a detailed analysis by Morneau Shepell’s compensation consultants. • Survey participation jumped over 75% on a year over year basis from 506 organizations participating in 2019, to 889 in 2020. Many of these organizations also participated in our 2020 Canadian Salary Surveys. • Survey data includes actual 2020 and projected 2021 base salary increases and salary structure adjustments. • Survey data is reported excluding zeros and including zeros (freezes) but does not include temporary rollbacks due to COVID-19. • Findings are summarized for non-unionized employees. • Statistical requirements applied to the data analysis include a minimum of three organizations for average/mean reported results, and a minimum of five organizations -
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. -
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. -
Wind Energy Technology Data Update: 2020 Edition
Wind Energy Technology Data Update: 2020 Edition Ryan Wiser1, Mark Bolinger1, Ben Hoen, Dev Millstein, Joe Rand, Galen Barbose, Naïm Darghouth, Will Gorman, Seongeun Jeong, Andrew Mills, Ben Paulos Lawrence Berkeley National Laboratory 1 Corresponding authors August 2020 This work was funded by the U.S. Department of Energy’s Wind Energy Technologies Office, under Contract No. DE-AC02-05CH11231. The views and opinions of the authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof, or The Regents of the University of California. Photo source: National Renewable Energy Laboratory ENERGY T ECHNOLOGIES AREA ENERGY ANALYSISAND ENVIRONMENTAL I MPACTS DIVISION ELECTRICITY M ARKETS & POLICY Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness 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 its 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 The Regents of the University of California. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof, or The Regents of the University of California. -
Microgeneration Strategy: Progress Report
MICROGENERATION STRATEGY Progress Report JUNE 2008 Foreword by Malcolm Wicks It is just over two years since The Microgeneration Strategy was launched. Since then climate change and renewables have jumped to the top of the global and political agendas. Consequently, it is more important than ever that reliable microgeneration offers individual householders the chance to play their part in tackling climate change. In March 2006, there was limited knowledge in the UK about the everyday use of microgeneration technologies, such as solar thermal heating, ground source heat pumps, micro wind or solar photovolatics. Much has changed since then. Thousands of people have considered installing these technologies or have examined grants under the Low Carbon Buildings Programme. Many have installed microgeneration and, in doing so, will have helped to reduce their demand for energy, thereby cutting both their CO2 emissions and their utility bills. The Government’s aim in the Strategy was to identify obstacles to creating a sustainable microgeneration market. I am pleased that the majority of the actions have been completed and this report sets out the excellent progress we have made. As a consequence of our work over the last two years, we have benefited from a deeper understanding of how the microgeneration market works and how it can make an important contribution to a 60% reduction in CO2 emissions by 2050. Building an evidence base, for example, from research into consumer behaviour, from tackling planning restrictions and from tracking capital costs, means that we are now in a better position to take forward work on building a sustainable market for microgeneration in the UK. -
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. -
A New Era for Wind Power in the United States
Chapter 3 Wind Vision: A New Era for Wind Power in the United States 1 Photo from iStock 7943575 1 This page is intentionally left blank 3 Impacts of the Wind Vision Summary Chapter 3 of the Wind Vision identifies and quantifies an array of impacts associated with continued deployment of wind energy. This 3 | Summary Chapter chapter provides a detailed accounting of the methods applied and results from this work. Costs, benefits, and other impacts are assessed for a future scenario that is consistent with economic modeling outcomes detailed in Chapter 1 of the Wind Vision, as well as exist- ing industry construction and manufacturing capacity, and past research. Impacts reported here are intended to facilitate informed discus- sions of the broad-based value of wind energy as part of the nation’s electricity future. The primary tool used to evaluate impacts is the National Renewable Energy Laboratory’s (NREL’s) Regional Energy Deployment System (ReEDS) model. ReEDS is a capacity expan- sion model that simulates the construction and operation of generation and transmission capacity to meet electricity demand. In addition to the ReEDS model, other methods are applied to analyze and quantify additional impacts. Modeling analysis is focused on the Wind Vision Study Scenario (referred to as the Study Scenario) and the Baseline Scenario. The Study Scenario is defined as wind penetration, as a share of annual end-use electricity demand, of 10% by 2020, 20% by 2030, and 35% by 2050. In contrast, the Baseline Scenario holds the installed capacity of wind constant at levels observed through year-end 2013. -
Why the Lights Went Out: Reform in the South African Energy Sector
Graduate School of Development Policy and Practice Strategic Leadership for Africa’s Public Sector WHY THE LIGHTS WENT OUT: REFORM IN THE SOUTH AFRICAN ENERGY SECTOR WHY THE LIGHTS WENT OUT: REFORM IN THE SOUTH AFRICAN ENERGY SECTOR UCT GRADUATE SCHOOL OF DEVELOPMENT POLICY AND PRACTICE 2 ACKNOWLEDGEMENTS This case study was researched and written by a team at the Public Affairs Research Institute (PARI), lead by Tracy van der Heijden, for the University of Cape Town’s Graduate School for Development Policy and Practice. Funding for the development of the case study was provided by the Employment Promotion Programme (funded by the Department for International Development). PARI would like to thank Ian McRae, Allen Morgan, Steve Lennon, Alec Erwin and Portia Molefe who were interviewed for the purposes of developing this case study. We would also like to thank Brian Levy for his input. This case study was researched and written by a team at the Public Affairs Research Institute (PARI), lead by Tracy van der Heijden, for the University of Cape Town’s Graduate School for Development Policy and Practice. Funding for the development of the case study was provided by the Employment Promotion Programme (funded by the Department for International Development). April 2013. WHY THE LIGHTS WENT OUT: REFORM IN THE SOUTH AFRICAN ENERGY SECTOR UCT GRADUATE SCHOOL OF DEVELOPMENT POLICY AND PRACTICE 3 PUBLIC AFFAIRS RESEARCH INSTITUTE (PARI) dimmed Vision THE LIGHTS GO OUT South Africans struggled to come to terms with a strange new lexicon. Terms like ‘rolling blackouts’, In 2008, South Africa’s lights went out. -
Electricity Production by Fuel
EN27 Electricity production by fuel Key message Fossil fuels and nuclear energy continue to dominate the fuel mix for electricity production despite their risk of environmental impact. This impact was reduced during the 1990s with relatively clean natural gas becoming the main choice of fuel for new plants, at the expense of oil, in particular. Production from coal and lignite has increased slightly in recent years but its share of electricity produced has been constant since 2000 as overall production increases. The steep increase in overall electricity production has also counteracted some of the environmental benefits from fuel switching. Rationale The trend in electricity production by fuel provides a broad indication of the impacts associated with electricity production. The type and extent of the related environmental pressures depends upon the type and amount of fuels used for electricity generation as well as the use of abatement technologies. Fig. 1: Gross electricity production by fuel, EU-25 5,000 4,500 4,000 Other fuels 3,500 Renewables 1.4% 3,000 13.7% Nuclear 2,500 TWh Natural and derived 31.0% gas 2,000 Coal and lignite 1,500 19.9% Oil 1,000 29.5% 500 4.5% 0 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2010 2020 2030 Data Source: Eurostat (Historic data), Primes Energy Model (European Commission 2006) for projections. Note: Data shown are for gross electricity production and include electricity production from both public and auto-producers. Renewables includes electricity produced from hydro (excluding pumping), biomass, municipal waste, geothermal, wind and solar PV.