Advanced Decision Making for HVAC Engineers

Creating Energy Efficient Smart Buildings
1. Auflage 2016
ISBN: 978-3-319-33327-4
Verlag: Springer International Publishing

Buch, Englisch, 191 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 4439 g

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’.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Khazaii, Javad

Fachgebiete

• Technische Wissenschaften Bauingenieurwesen Mathematische Methoden, Computeranwendungen (Bauingenieurwesen)
• Technische Wissenschaften Energietechnik | Elektrotechnik Energieeffizienz
• Technische Wissenschaften Bauingenieurwesen Bauökologie, Baubiologie, Bauphysik, Bauchemie
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Technische Thermodynamik
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Technische Wissenschaften Bauingenieurwesen Haustechnik, Gebäudeautomatisierung

Inhaltsverzeichnis

IntroductionSection I: Basics of Heat Transfer, Load Calculation, and Energy ModelingChapter 1: Heat transfer in a nut-shell Conduction Radiation ConvectionChapter 2: Load Calculations and Energy Modeling Load Calculations Energy Modeling
Section II: High Energy Consuming HVAC ApplicationsChapter 3: Data CentersChapter 4: Healthcare FacilitiesChapter 5: LaboratoriesChapter 6: CleanroomsChapter 7: Commercial Kitchens and Dining Facilities
Section III: Advanced Decision Making StrategiesChapter 8: IntroductionChapter 9: Analytical Hierarchy ProcessChapter 10: Genetic Algorithm OptimizationChapter 11: Pareto Base Optimization Pareto DominationUse of Pareto Optimization and Multi-Objective Genetic Algorithm in Energy-ModelingChapter 12: Decision making under uncertainty Decision making and Utility Function Bayesian RulesChapter 13: Agent Based ModelingChapter 14: Artificial Neural NetworkChapter 15: Fuzzy LogicChapter 16: Game Theory
Section IV: Buildings of the Future Chapter 17: Buildings of the Future

Über Autor(innen)

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.