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Cover: 9783639655568 | Design and Optimization of Turbo-expanders for Organic Rankine Cycles
Rückseite: 9783639655568 | Design and Optimization of Turbo-expanders for Organic Rankine Cycles
Cover: 9783639655568 | Design and Optimization of Turbo-expanders for Organic Rankine Cycles
Rückseite: 9783639655568 | Design and Optimization of Turbo-expanders for Organic Rankine Cycles
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Design and Optimization of Turbo-expanders for Organic Rankine Cycles
A computational tool for turbine design for ORC applications
Taschenbuch von Paolo Gabrielli
Sprache: Englisch

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Beschreibung
In a world focused on the need to produce energy for a growing population, while reducing atmospheric emissions of carbon dioxide, organic Rankine cycles represent a solution to fulfill this goal. Organic fluids present a variety of advantages, especially in the context of low temperature and decentralized heat recovery, for which conventional fluids would become less attractive. As a matter of facts, the performance of these power production cycles strongly relates to that of the expander, which in turn, presents peculiar characteristics. A computational model for the prediction of axial-flow turbine performance is developed and validated against experimental data. The design procedure is coupled with an optimization process, performed by using a genetic algorithm. The simulation tool, characterized by an accuracy of ±3%, is integrated in different applications, ranging from offshore platforms to low temperature geothermal heat sources. The thesis, compiled in collaboration with Denmark Technical University and University of Bologna, exhibits the relevance of embedding simulation tools for turbine design when operating thermodynamic cycle calculations.
In a world focused on the need to produce energy for a growing population, while reducing atmospheric emissions of carbon dioxide, organic Rankine cycles represent a solution to fulfill this goal. Organic fluids present a variety of advantages, especially in the context of low temperature and decentralized heat recovery, for which conventional fluids would become less attractive. As a matter of facts, the performance of these power production cycles strongly relates to that of the expander, which in turn, presents peculiar characteristics. A computational model for the prediction of axial-flow turbine performance is developed and validated against experimental data. The design procedure is coupled with an optimization process, performed by using a genetic algorithm. The simulation tool, characterized by an accuracy of ±3%, is integrated in different applications, ranging from offshore platforms to low temperature geothermal heat sources. The thesis, compiled in collaboration with Denmark Technical University and University of Bologna, exhibits the relevance of embedding simulation tools for turbine design when operating thermodynamic cycle calculations.
Über den Autor
Paolo Gabrielli was born the 30 October 1989. He graduated in Energy and Nuclear Engineering at the University of Bologna. He completed the Master degree at the University of California, Los Angeles, and compiled the Master thesis at Denmark Technical University. The passion for technology has been the key driver during his whole academic career.
Details
Erscheinungsjahr: 2014
Fachbereich: Kraftwerktechnik
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: 252 S.
ISBN-13: 9783639655568
ISBN-10: 3639655567
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Gabrielli, Paolo
Hersteller: Edizioni Accademiche Italiane
Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, D-66111 Saarbrücken, info@akademikerverlag.de
Maße: 220 x 150 x 16 mm
Von/Mit: Paolo Gabrielli
Erscheinungsdatum: 13.05.2014
Gewicht: 0,393 kg
Artikel-ID: 105303946
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