Advanced Decision Making for HVAC Engineers
Creating Energy Efficient Smart Buildings
(Sprache: Englisch)
This book focuses on some of the most energy-consuming HVAC systems; illuminating huge opportunities for energy savings in buildings that operate with these systems. The main discussion is on, cutting-edge decision making approaches, and algorithms in:...
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Klappentext zu „Advanced Decision Making for HVAC Engineers “
This book focuses on some of the most energy-consuming HVAC systems; illuminating huge opportunities for energy savings in buildings that operate with these systems. The main discussion is on, cutting-edge decision making approaches, and algorithms in: decision making under uncertainty, genetic algorithms, fuzzy logic, artificial neural networks, agent based modeling, and game theory. These methods are applied to HVAC systems, in order to help designers select the best options among the many available pathways for designing and the building of HVAC systems and applications. The discussion further evolves to depict how the buildings of the future can incorporate these advanced decision-making algorithms to become autonomous and truly 'smart'.Inhaltsverzeichnis zu „Advanced Decision Making for HVAC Engineers “
Introduction Section I: Basics of Heat Transfer, Load Calculation, and Energy Modeling Chapter 1: Heat transfer in a nut-shell Conduction Radiation Convection Chapter 2: Load Calculations and Energy Modeling Load Calculations Energy Modeling Section II: High Energy Consuming HVAC Applications Chapter 3: Data Centers Chapter 4: Healthcare Facilities Chapter 5: Laboratories Chapter 6: Cleanrooms Chapter 7: Commercial Kitchens and Dining Facilities
Section III: Advanced Decision Making Strategies Chapter 8: Introduction Chapter 9: Analytical Hierarchy Process Chapter 10: Genetic Algorithm Optimization Chapter 11: Pareto Base Optimization Pareto Domination Use of Pareto Optimization and Multi-Objective Genetic Algorithm in Energy- Modeling Chapter 12: Decision making under uncertainty Decision making and Utility Function Bayesian Rules Chapter 13: Agent Based Modeling Chapter 14: Artificial Neural Network Chapter 15: Fuzzy Logic Chapter 16: Game Theory
Section IV: Buildings of the Future Chapter 17: Buildings of the Future
Autoren-Porträt von Javad Khazaii
Dr. Javad Khazaii earned his B.Sc. in Mechanical Engineering from Isfahan University of Technology, his Master of Business Administration with a concentration of Computer Information Systems from Georgia State University, and his PhD in Architecture with a major in building technology and a minor in building construction from Georgia Institute of Technology. He is a registered engineer and a LEED accredited professional with more than two decades of professional project management, design and energy modeling. He has been adjunct faculty in Engineering at Kennesaw State University since 2011. Dr. Khazaii has co-authored scientific articles and conference proceedings for the ASME and IBPSA, and he was one of the original contributors to the State of Qatar (Energy) Sustainability Assessment System (QSAS). His team was awarded first place in the International Building Performance Simulation Association's (IBPSA) annual group competition in 2009. His first book "Energy Efficient HVAC Design, An Essential Guide for Sustainable Building" was published by Springer in 2014 and is within Springer's top 100 best sellers in Energy.
Bibliographische Angaben
- Autor: Javad Khazaii
- 2016, 1st ed. 2016, 191 Seiten, 191 farbige Abbildungen, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3319333275
- ISBN-13: 9783319333274
- Erscheinungsdatum: 18.08.2016
Sprache:
Englisch
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