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Modeling, Assessment, and Optimization of Energy Systems

Autor Hoseyn Sayyaadi
en Limba Engleză Paperback – 18 sep 2020
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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Specificații

ISBN-13: 9780128166567
ISBN-10: 0128166568
Pagini: 558
Ilustrații: Approx. 200 illustrations
Dimensiuni: 191 x 234 x 32 mm
Greutate: 0.94 kg
Editura: ELSEVIER SCIENCE

Public țintă

Engineers and post-graduates of energy engineering, mechanical, chemical engineering and researchers in the field of analysis and optimization of energy systems

Cuprins

1. Introduction2. Thermal modeling and analysis3. Advanced Thermal Models 4. Combined thermal, economic, and environmental models5. Soft computing and statistical tools for developing analytical models6. Optimization basics7. Decision-making in optimization and assessment of energy systems8. Real-time optimization of energy systems using the soft-computing approaches 9. Conclusion