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This book makes intelligible the wide range of electricity generating technologies available today, as well as some closely allied technologies such as energy storage. The book opens by setting the many power generation technologies in the context of global energy consumption, the development of the electricity generation industry and the economics involved in this sector. A series of chapters are each devoted to assessing the environmental and economic impact of a single technology, including conventional technologies, nuclear and renewable (such as solar, wind and hydropower). The technologies are presented in an easily digestible form.Different power generation technologies have different greenhouse gas emissions and the link between greenhouse gases and global warming is a highly topical environmental and political issue. With developed nations worldwide looking to reduce their emissions of carbon dioxide, it is becoming increasingly important to explore the effectiveness of a mix of energy generation technologies.Power Generation Technologies gives a clear, unbiased review and comparison of the different types of power generation technologies available. In the light of the Kyoto protocol and OSPAR updates, Power Generation Technologies will provide an invaluable reference text for power generation planners, facility managers, consultants, policy makers and economists, as well as students and lecturers of related Engineering courses.· Provides a unique comparison of a wide range of power generation technologies - conventional, nuclear and renewable· Describes the workings and environmental impact of each technology· Evaluates the economic viability of each different power generation system
The main aim of this study is to present power plants for all fields of industry. The chapters collected in the book are contributions by invited researchers with long-standing experience in different research areas. I hope that the material presented here is understandable to a wide audience, not only energy and mechanical engineering specialists but also scientists from various disciplines. The book contains seven chapters in two sections: (1) "Power Plants
Machine Learning and Data Science in the Power Generation Industry explores current best practices and quantifies the value-add in developing data-oriented computational programs in the power industry, with a particular focus on thoughtfully chosen real-world case studies. It provides a set of realistic pathways for organizations seeking to develop machine learning methods, with a discussion on data selection and curation as well as organizational implementation in terms of staffing and continuing operationalization. It articulates a body of case study–driven best practices, including renewable energy sources, the smart grid, and the finances around spot markets, and forecasting. - Provides best practices on how to design and set up ML projects in power systems, including all nontechnological aspects necessary to be successful - Explores implementation pathways, explaining key ML algorithms and approaches as well as the choices that must be made, how to make them, what outcomes may be expected, and how the data must be prepared for them - Determines the specific data needs for the collection, processing, and operationalization of data within machine learning algorithms for power systems - Accompanied by numerous supporting real-world case studies, providing practical evidence of both best practices and potential pitfalls
The U.S. Department of Energy (DOE) was given a mandate in the 1992 Energy Policy Act (EPACT) to pursue strategies in coal technology that promote a more competitive economy, a cleaner environment, and increased energy security. Coal evaluates DOE's performance and recommends priorities in updating its coal program and responding to EPACT. This volume provides a picture of likely future coal use and associated technology requirements through the year 2040. Based on near-, mid-, and long-term scenarios, the committee presents a framework for DOE to use in identifying R&D strategies and in making detailed assessments of specific programs. Coal offers an overview of coal-related programs and recent budget trends and explores principal issues in future U.S. and foreign coal use. The volume evaluates DOE Fossil Energy R&D programs in such key areas as electric power generation and conversion of coal to clean fuels. Coal will be important to energy policymakers, executives in the power industry and related trade associations, environmental organizations, and researchers.
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.
How one solar power plant might chart a sustainable path forward for enlisting American capitalism in the fight against climate change.
This publication provides industry data on electric power, including generating capability, generation, fuel consumption, cost of fuels, and retail sales and revenue.
Electricity Generation and the Environment is a very concise, up-to-date, and accessible guide to the evolution of environmental awareness, what that environmental awareness has taught the industry, and how technologies can be used to test and improve power performance. There is a strong emphasis on the related social impacts and economic factors involved in the various methods of generating electricity which Breeze explores, making this a valuable and insightful read for those involved in the planning and delivery of energy, such as energy engineers, power generation planners, policy makers, managers, and academics. - Explores various life-cycle assessments - Covers fast-advancing renewable and alternative power sources such as hydropower and transportation - Discusses various externalities which impact on the decisions to implement systems and technologies - Evaluates the economic and environmental viability of each power generation system covered
Thermal Power Plants: Modeling, Control, and Efficiency Improvement explains how to solve highly complex industry problems regarding identification, control, and optimization through integrating conventional technologies, such as modern control technology, computational intelligence-based multiobjective identification and optimization, distributed computing, and cloud computing with computational fluid dynamics (CFD) technology. Introducing innovative methods utilized in industrial applications, explored in scientific research, and taught at leading academic universities, this book: Discusses thermal power plant processes and process modeling, energy conservation, performance audits, efficiency improvement modeling, and efficiency optimization supported by high-performance computing integrated with cloud computing Shows how to simulate fossil fuel power plant real-time processes, including boiler, turbine, and generator systems Provides downloadable source codes for use in CORBA C++, MATLAB®, Simulink®, VisSim, Comsol, ANSYS, and ANSYS Fluent modeling software Although the projects in the text focus on industry automation in electrical power engineering, the methods can be applied in other industries, such as concrete and steel production for real-time process identification, control, and optimization.