Advanced Decision Making for HVAC Engineers: Creating Energy Efficient Smart Buildings

ISBN-13: 9783319814865 / Angielski / Miękka / 2018 / 191 str.

Javad Khazaii

Spis treści

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

O autorze

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.

Blurb

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’.