© 2016

Advanced Decision Making for HVAC Engineers

Creating Energy Efficient Smart Buildings


  • Explains the principles of heat transfer, load calculations and energy modeling used for achieving energy efficient HVAC design solutions

  • Highlights some of the highest energy-consuming HVAC applications and describes possible opportunities for tremendous energy savings

  • Demonstrates cutting-edge methods and techniques to help HVAC designers in their decision making approach for selecting and improving appropriate systems and solutions

  • Illustrates how buildings of the future can utilize these advanced decision making approaches to become autonomous and truly smart


Table of contents

  1. Front Matter
    Pages i-xvii
  2. Basics of Heat Transfer, Load Calculation, and Energy Modeling

    1. Front Matter
      Pages 1-1
    2. Javad Khazaii
      Pages 3-13
    3. Javad Khazaii
      Pages 15-30
  3. High Energy Consuming HVAC Applications

    1. Front Matter
      Pages 31-31
    2. Javad Khazaii
      Pages 33-38
    3. Javad Khazaii
      Pages 39-44
    4. Javad Khazaii
      Pages 45-50
    5. Javad Khazaii
      Pages 51-56
    6. Javad Khazaii
      Pages 57-61
  4. Advanced Decision Making Strategies

    1. Front Matter
      Pages 63-63
    2. Javad Khazaii
      Pages 65-71
    3. Javad Khazaii
      Pages 73-85
    4. Javad Khazaii
      Pages 87-97
    5. Javad Khazaii
      Pages 99-115
    6. Javad Khazaii
      Pages 117-135
    7. Javad Khazaii
      Pages 137-144
    8. Javad Khazaii
      Pages 145-155
    9. Javad Khazaii
      Pages 157-166
    10. Javad Khazaii
      Pages 167-176

About this book


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’.


energy efficient HVAC design HVAC design heating smart buildings heating, ventilation and cooling cooling smart buildings green building design HVAC in green buildings energy efficient buildings sustainable HVAC energy efficient building management

Authors and affiliations

  1. 1.Engineering DepartmentKennesaw State University (Marietta Campus)MariettaUSA

About the authors

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.

Bibliographic information

Industry Sectors
Energy, Utilities & Environment
Oil, Gas & Geosciences