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A "quick look up guide," Electricity Cost Modeling Calculations places the relevant formulae and calculations at the reader's finger tips. In this book, theories are explained in a nutshell and then the calculation is presented and solved in an illustrated, step-by-step fashion. A valuable guide for new engineers, economists (or forecasters), regulators, and policy makers who want to further develop their knowledge of best practice calculations techniques or experienced practitioners (and even managers) who desire to acquire more useful tips, this book offers expert advice for using such cost models to determine optimally-sized distribution systems and optimally-structured power supplying entities. In other words, this book provides an Everything-that-you-want-to-know-about-cost-modelling-for-electric-utilities (but were afraid to ask) approach to modelling the cost of supplying electricity. In addition, the author covers the concept of multiproduct and multistage cost functions, which are appropriate in modelling the cost of supplying electricity. The author has done all the heavy number-crunching, and provides the reader with real-world, practical examples of how to properly quantify the costs associated with providing electric service, thus increasing the accuracy of the results and support for the policy initiatives required to ensure the competitiveness of the power suppliers in this new world in which we are living. The principles contained herein could be employed to assist in the determination of the cost-minimizing amount of output (i.e., electricity), which could then be used to determine whether a merger between two entities makes sense (i.e., would increase profitability). Other examples abound: public regulatory commissions also need help in determining whether mergers (or divestitures) are welfare-enhancing or not; ratemaking policies depend on costs and properly determining the costs of supplying electric (or gas, water, and local telephone) service. Policy makers, too, can benefit in terms of optimal market structure; after all, the premise of deregulation of the electric industry was predicated on the idea that generation could be deregulated. Unfortunately, the economies of vertical integration between the generation. - A comprehensive guide to the cost issues surrounding the generation, transmission, and distribution of electricity - Real-world examples that are practical, meaningful, and easy to understand - Policy implications and suggestions to aid in the formation of the optimal market structure going forward (thus increasing efficiency of electric power suppliers) - The principles contained herein could be employed to assist in the determination of the cost-minimizing amount of output
This book is designed to provide the economic skills to make better management or policy decisions relating to energy. It requires a knowledge of calculus and contains a toolbox of models along with institutional, technological and historical information for oil, coal, electricity, and renewable energy resources.
Understand the electricity market, its policies and how they drive prices, emissions, and security, with this comprehensive cross-disciplinary book. Author Chris Harris includes technical and quantitative arguments so you can confidently construct pricing models based on the various fluctuations that occur. Whether you?re a trader or an analyst, this book will enable you to make informed decisions about this volatile industry.
There is a need for fundamental changes in the ways society views electric energy. Electric energy must be treated as a commodity which can be bought, sold, and traded, taking into account its time-and space-varying values and costs. This book presents a complete framework for the establishment of such an energy marketplace. The framework is based on the use of spot prices. In general terms: o An hourly spot price (in dollars per kilowatt hour) reflects the operating and capital costs of generating, transmitting and distributing electric energy. It varies each hour and from place to place. o The spot price based energy marketplace involves a variety of utility-customer transactions (ranging from hourly varying prices to long-term, multiple-year contracts), all of which are based in a consistent manner on hourly spot prices. These transactions may include customers selling to, as well as buying from, the utility. The basic theory and practical implementation issues associated with a spot price based energy marketplace have been developed and discussed through a number of different reports, theses, and papers. Each addresses only a part of the total picture, and often with a somewhat different notation and terminology (which has evolved in parallel with our growing experience). This book was xvii xviii Preface written to serve as a single, integrated sourcebook on the theory and imple mentation of a spot price based energy marketplace.
Offshore wind energy is one of the most promising and fastest growing alternative energy sources in the world. Offshore Wind Energy Cost Modeling provides a methodological framework to assess installation and decommissioning costs, and using examples from the European experience, provides a broad review of existing processes and systems used in the offshore wind industry. Offshore Wind Energy Cost Modeling provides a step-by-step guide to modeling costs over four sections. These sections cover: ·Background and introductory material, ·Installation processes and vessel requirements, ·Installation cost estimation, and ·Decommissioning methods and cost estimation. This self-contained and detailed treatment of the key principles in offshore wind development is supported throughout by visual aids and data tables. Offshore Wind Energy Cost Modeling is a key resource for anyone interested in the offshore wind industry, particularly those interested in the technical and economic aspects of installation and decommissioning. The book provides a reliable point of reference for industry practitioners and policy makers developing generalizable installation or decommissioning cost estimates.
Whilst financial rights have appeared as a successful ingredient in North-American power markets, they have their shortcomings both theoretically and in practice. Financial Transmission Rights: Analysis, Experiences and Prospects present a systematic and comprehensive overview of financial transmission rights (FTRS). Following a general introduction to FTRs, including chapters to explain transmission pricing and the general properties of FTRS, experts in the field provide discussions on wide scope of topics. These include: Varying perspectives on FTRS: from electrical engineers to economists, Different mathematical formulations of FTRS Financial Hedging using FTRS, and Alternative solutions to FTRs The detail, expertise and range of content makes Financial Transmission Rights: Analysis, Experiences and Prospect an essential resource for electricity market specialists both at academic and professional levels. “This is THE BOOK we were all expecting to address all key ‘Financial Transmission Rights’ issues. It is comprehensive and reader friendly. You can pick at will in its menu: more or less theory, a bit of maths or none, empirical review of real cases or numerical simulations of many feasible options. Big names rally there to delight you like: Hogan , Oren, Perez-Arriaga, Smeers, Hobbs and... Rosellón. More than a must read: a light house, a map and a survival kit.” Jean – Michel Glachant, Director Florence School, Holder Loyola de Palacio Chair, Chief-editor Economics of Energy & Environmental Policy. "In the last two decades, economists have developed a better understanding of the impact of financial rights on risk management, market power and network expansion in electricity markets, while power systems have experimented with such rights. Striking a good balance between academics and practitioners, always at the frontier of the field, written by the best experts, this volume is essential reading for all those- power systems’ managers and users, regulators, students and researchers- who want to understand the new electricity environment and predict its evolution." Jean Tirole, Toulouse School of Economics and Institute for Industrial Economics (IDEI) Further comments inside.
The markets for electricity, gas and temperature have distinctive features, which provide the focus for countless studies. For instance, electricity and gas prices may soar several magnitudes above their normal levels within a short time due to imbalances in supply and demand, yielding what is known as spikes in the spot prices. The markets are also largely influenced by seasons, since power demand for heating and cooling varies over the year. The incompleteness of the markets, due to nonstorability of electricity and temperature as well as limited storage capacity of gas, makes spot-forward hedging impossible. Moreover, futures contracts are typically settled over a time period rather than at a fixed date. All these aspects of the markets create new challenges when analyzing price dynamics of spot, futures and other derivatives.This book provides a concise and rigorous treatment on the stochastic modeling of energy markets. Ornstein?Uhlenbeck processes are described as the basic modeling tool for spot price dynamics, where innovations are driven by time-inhomogeneous jump processes. Temperature futures are studied based on a continuous higher-order autoregressive model for the temperature dynamics. The theory presented here pays special attention to the seasonality of volatility and the Samuelson effect. Empirical studies using data from electricity, temperature and gas markets are given to link theory to practice.
This book analyzes new electricity pricing models that consider uncertainties in the power market due to the changing behavior of market players and the implementation of renewable distributed generation and responsive loads. In-depth chapters examine the different types of market players including the generation, transmission, and distribution companies, virtual power plants, demand response aggregators, and energy hubs and microgrids. Expert authors propose optimal operational models for short-term performance and scheduling and present readers with solutions for pricing challenges in uncertain environments. This book is useful for engineers, researchers and students involved in integrating demand response programs into smart grids and for electricity market operation and planning. Proposes optimal operation models; Discusses the various players in today's electricity markets; Describes the effects of demand response programs in smart grids.
This addition to the ISOR series introduces complementarity models in a straightforward and approachable manner and uses them to carry out an in-depth analysis of energy markets, including formulation issues and solution techniques. In a nutshell, complementarity models generalize: a. optimization problems via their Karush-Kuhn-Tucker conditions b. on-cooperative games in which each player may be solving a separate but related optimization problem with potentially overall system constraints (e.g., market-clearing conditions) c. conomic and engineering problems that aren’t specifically derived from optimization problems (e.g., spatial price equilibria) d. roblems in which both primal and dual variables (prices) appear in the original formulation (e.g., The National Energy Modeling System (NEMS) or its precursor, PIES). As such, complementarity models are a very general and flexible modeling format. A natural question is why concentrate on energy markets for this complementarity approach? s it turns out, energy or other markets that have game theoretic aspects are best modeled by complementarity problems. The reason is that the traditional perfect competition approach no longer applies due to deregulation and restructuring of these markets and thus the corresponding optimization problems may no longer hold. Also, in some instances it is important in the original model formulation to involve both primal variables (e.g., production) as well as dual variables (e.g., market prices) for public and private sector energy planning. Traditional optimization problems can not directly handle this mixing of primal and dual variables but complementarity models can and this makes them all that more effective for decision-makers.
Mathematical techniques for trading and risk management. Managing Energy Risk closes the gap between modern techniques from financial mathematics and the practical implementation for trading and risk management. It takes a multi-commodity approach that covers the mutual influences of the markets for fuels, emission certificates, and power. It includes many practical examples and covers methods from financial mathematics as well as economics and energy-related models.