Power Plants


Book Description

This is a print on demand edition of a hard to find publication. Analyzes the factors that determine the cost of electricity from new power plants. These factors -- including construction costs, fuel expense, environ. regulations, and financing costs -- can all be affected by government, energy, environmental, and economic policies. Contents: (1) Intro. and Org.; (2) Types of Generating Technologies: Electricity Demand and Power Plant Choice and Operation; Utility Scale Generating Technologies; (3) Factors that Drive Power Plant Costs; (4) Fuel Costs. Appendixes: Power Generation Technology Process Diagrams and Images; Estimates of Power Plant Overnight Costs; Estimates of Technology Costs and Efficiency with Carbon Capture; Financial and Operating Assumptions. Charts and tables.




Decision Making Under Uncertainty in Electricity Markets


Book Description

Decision Making Under Uncertainty in Electricity Markets provides models and procedures to be used by electricity market agents to make informed decisions under uncertainty. These procedures rely on well established stochastic programming models, which make them efficient and robust. Particularly, these techniques allow electricity producers to derive offering strategies for the pool and contracting decisions in the futures market. Retailers use these techniques to derive selling prices to clients and energy procurement strategies through the pool, the futures market and bilateral contracting. Using the proposed models, consumers can derive the best energy procurement strategies using the available trading floors. The market operator can use the techniques proposed in this book to clear simultaneously energy and reserve markets promoting efficiency and equity. The techniques described in this book are of interest for professionals working on energy markets, and for graduate students in power engineering, applied mathematics, applied economics, and operations research.




Does uncertainty matter? : a stochastic dynamic analysis of bankable emission permit trading for global climate change policy


Book Description

Abstract: Emission permit trading is a centerpiece of the Kyoto Protocol which allows participating nations to trade and bank greenhouse gas permits under the Framework Convention on Climate Change. When market conditions evolve stochastically, emission trading produces a dynamic problem, in which anticipation about the future economic environment affects current banking decisions. In this paper, the author explores the effect of increased uncertainty over future output prices and input costs on the temporal distribution of emissions. In a dynamic programming setting, a permit price is a convex function of stochastic prices of electricity and fuel. Increased uncertainty about future market conditions increases the expected permit price and causes a risk-neutral firm to reduce ex ante emissions so as to smooth out marginal abatement costs over time. The convexity results from the asymmetric impact of changes in counterfactual emissions on the change of marginal abatement costs. Empirical analysis corroborates the theoretical prediction. The author finds that a 1 percent increase in electricity price volatility measured by the annualized standard deviation of percentage price change is associated with an average decrease in the annual emission rate by 0.88 percent. Numerical simulation suggests that high uncertainty could induce substantially early abatements, as well as large compliance costs, therefore imposing a tradeoff between environmental benefits and economic efficiency. The author discusses policy implications for designing an effective and efficient global carbon market.




Strategic Power Plant Investment Planning Under Fuel and Carbon Price Uncertainty


Book Description

The profitability of power plant investments depends strongly on uncertain fuel and carbon prices. In this doctoral thesis, we combine fundamental electricity market models with stochastic dynamic programming to evaluate power plant investments under uncertainty. The application of interpolation-based stochastic dynamic programming and approximate dynamic programming allows us to consider a greater variety of stochastic fuel and carbon price scenarios compared to other approaches.




Hidden Costs of Energy


Book Description

Despite the many benefits of energy, most of which are reflected in energy market prices, the production, distribution, and use of energy causes negative effects. Many of these negative effects are not reflected in energy market prices. When market failures like this occur, there may be a case for government interventions in the form of regulations, taxes, fees, tradable permits, or other instruments that will motivate recognition of these external or hidden costs. The Hidden Costs of Energy defines and evaluates key external costs and benefits that are associated with the production, distribution, and use of energy, but are not reflected in market prices. The damage estimates presented are substantial and reflect damages from air pollution associated with electricity generation, motor vehicle transportation, and heat generation. The book also considers other effects not quantified in dollar amounts, such as damages from climate change, effects of some air pollutants such as mercury, and risks to national security. While not a comprehensive guide to policy, this analysis indicates that major initiatives to further reduce other emissions, improve energy efficiency, or shift to a cleaner electricity generating mix could substantially reduce the damages of external effects. A first step in minimizing the adverse consequences of new energy technologies is to better understand these external effects and damages. The Hidden Costs of Energy will therefore be a vital informational tool for government policy makers, scientists, and economists in even the earliest stages of research and development on energy technologies.




Robust Energy Procurement of Large Electricity Consumers


Book Description

This book identifies the challenges faced by large electricity consumers when they use several sources to procure their energy. The huge penetration of distributed energy resources and the intermittent nature of renewables can put the operations of the large electricity consumer at risk. The book discusses the different types of energy sources including the pool market, bilateral contracts, electrical vehicles, energy storage systems, and demand response programs in detail and presents solutions for robust and risk based scheduling. The author provides models for determining and considering uncertainties and optimal bidding strategies. The book is useful to engineers and students involved in the integration of various energy types as well as those working in state and federal governmental organizations who regulate different aspects of electricity market operation and planning. Presents solutions for robust and risk based scheduling; Discusses the operation and planning of energy storage systems; Presents the most-up-to-date technological approaches to energy integration.




Modeling and Forecasting Electricity Loads and Prices


Book Description

This book offers an in-depth and up-to-date review of different statistical tools that can be used to analyze and forecast the dynamics of two crucial for every energy company processes—electricity prices and loads. It provides coverage of seasonal decomposition, mean reversion, heavy-tailed distributions, exponential smoothing, spike preprocessing, autoregressive time series including models with exogenous variables and heteroskedastic (GARCH) components, regime-switching models, interval forecasts, jump-diffusion models, derivatives pricing and the market price of risk. Modeling and Forecasting Electricity Loads and Prices is packaged with a CD containing both the data and detailed examples of implementation of different techniques in Matlab, with additional examples in SAS. A reader can retrace all the intermediate steps of a practical implementation of a model and test his understanding of the method and correctness of the computer code using the same input data. The book will be of particular interest to the quants employed by the utilities, independent power generators and marketers, energy trading desks of the hedge funds and financial institutions, and the executives attending courses designed to help them to brush up on their technical skills. The text will be also of use to graduate students in electrical engineering, econometrics and finance wanting to get a grip on advanced statistical tools applied in this hot area. In fact, there are sixteen Case Studies in the book making it a self-contained tutorial to electricity load and price modeling and forecasting.




Uncertainties in energy markets and their consideration in energy storage evaluation


Book Description

This book successfully illustrates the modeling of electricity prices with the help of stochastic processes. The relatively new phenomenon of negative prices is also integrated into the models. The integration of feed-in from wind power plants in energy models is also very innovative. This approach helps to simulate electricity prices in order to take into account the "merit-order effect of renewable energy". Finally, the models are used for the techno-economic evaluation of energy storages.




Forecasting with Exponential Smoothing


Book Description

Exponential smoothing methods have been around since the 1950s, and are still the most popular forecasting methods used in business and industry. However, a modeling framework incorporating stochastic models, likelihood calculation, prediction intervals and procedures for model selection, was not developed until recently. This book brings together all of the important new results on the state space framework for exponential smoothing. It will be of interest to people wanting to apply the methods in their own area of interest as well as for researchers wanting to take the ideas in new directions. Part 1 provides an introduction to exponential smoothing and the underlying models. The essential details are given in Part 2, which also provide links to the most important papers in the literature. More advanced topics are covered in Part 3, including the mathematical properties of the models and extensions of the models for specific problems. Applications to particular domains are discussed in Part 4.




Electricity Deregulation


Book Description

The electricity market has experienced enormous setbacks in delivering on the promise of deregulation. In theory, deregulating the electricity market would increase the efficiency of the industry by producing electricity at lower costs and passing those cost savings on to customers. As Electricity Deregulation shows, successful deregulation is possible, although it is by no means a hands-off process—in fact, it requires a substantial amount of design and regulatory oversight. This collection brings together leading experts from academia, government, and big business to discuss the lessons learned from experiences such as California's market meltdown as well as the ill-conceived policy choices that contributed to those failures. More importantly, the essays that comprise Electricity Deregulation offer a number of innovative prescriptions for the successful design of deregulated electricity markets. Written with economists and professionals associated with each of the network industries in mind, this comprehensive volume provides a timely and astute deliberation on the many risks and rewards of electricity deregulation.