Hoseyn Sayyaadi

Modeling, Assessment, and Optimization of Energy Systems (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Modelling, Assessment, and Optimization of Energy Systems provides comprehensive methodologies for the thermal modelling of energy systems based on thermodynamic, exergoeconomic and exergoenviromental approaches. It provides advanced analytical approaches, assessment criteria and the methodologies to obtain analytical expressions from the experimental data. The concept of single-objective and multi-objective optimization with application to energy systems is provided, along with decision-making tools for multi-objective problems, multi-criteria problems, for simplifying the optimization of large energy systems, and for exergoeconomic improvement integrated with a simulator EIS method.

This book provides a comprehensive methodology for modeling, assessment, improvement of any energy system with guidance, and practical examples that provide detailed insights for energy engineering, mechanical engineering, chemical engineering and researchers in the field of analysis and optimization of energy systems.

• Offers comprehensive analytical tools for the modeling and simulation of energy systems with applications for decision-making tools
• Provides methodologies to obtain analytical models of energy systems for experimental data
• Covers decision-making tools in multi-objective problems

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 558
• Erscheinungstermin: 19. September 2020
• Englisch
• ISBN-13: 9780128166574
• Artikelnr.: 61689338

Autorenporträt

Dr Sayyaadi is Professor of Mechanical Engineering at K.N. Toosi University of Technology, focusing on design, modelling, and optimization of energy systems.He has a number of publications in this field with 79 journal articles and 98 conference papers up to Aug. 2020.His research interests are exergy and exergoeconomic analyses, modelling and optimization of energy systems, multi-objective optimization and decision making, machine learning tools for modelling and optimization of energy systems including soft-computing and statistical tools (SCST), fuzzy inference system (FIS), and artificial neuro-fuzzy inference system (ANFIS), hydrogen production, heat exchangers, Stirling engines, power generation systems, and HVAC and refrigeration systems.