Polygeneration Systems

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Polygeneration Systems

Polygeneration Systems
Author :
Publisher : Academic Press
Total Pages : 453
Release :
ISBN-10 : 9780128206263
ISBN-13 : 0128206268
Rating : 4/5 (268 Downloads)

Book Synopsis Polygeneration Systems by : Francesco Calise

Download or read book Polygeneration Systems written by Francesco Calise and published by Academic Press. This book was released on 2021-09-22 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: The support for polygeneration lies in the possibility of integrating different technologies into a single energy system, to maximize the utilization of both fossil and renewable fuels. A system that delivers multiple forms of energy to users, maximizing the overall efficiency makes polygeneration an emerging and viable option for energy consuming industries. Polygeneration Systems: Design, Processes and Technologies provides simple and advanced calculation techniques to evaluate energy, environmental and economic performance of polygeneration systems under analysis. With specific design guidelines for each type of polygeneration system and experimental performance data, referred both to single components and overall systems, this title covers all aspects of polygeneration from design to operation, optimization and practical implementation. Giving different aspects of both fossil and non-fossil fuel based polygeneration and the wider area of polygeneration processes, this book helps readers learn general principles to specific system design and development through analysis of case studies, examples, simulation characteristics and thermodynamic and economic data. - Detailed economic data for technology to assist developing feasibility studies regarding the possible application of polygeneration technologies - Offers a comprehensive list of all current numerical and experimental results of polygeneration available - Includes simulation models, cost figures, demonstration projects and test standards for designers and researchers to validate their own models and/or to test the reliability of their results


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