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Kategorie szczegółowe BISAC

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

ISBN-13: 9783319333274 / Angielski / Twarda / 2016 / 191 str.

Javad Khazaii
Advanced Decision Making for HVAC Engineers: Creating Energy Efficient Smart Buildings Khazaii, Javad 9783319333274 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

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

ISBN-13: 9783319333274 / Angielski / Twarda / 2016 / 191 str.

Javad Khazaii
cena 402,53
(netto: 383,36 VAT:  5%)

Najniższa cena z 30 dni: 385,52
Termin realizacji zamówienia:
ok. 16-18 dni roboczych.

Darmowa dostawa!

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 .
"

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Power Resources - General
Business & Economics > Operations Research
Technology & Engineering > Civil - General
Wydawca:
Springer
Język:
Angielski
ISBN-13:
9783319333274
Rok wydania:
2016
Wydanie:
2016
Ilość stron:
191
Waga:
0.47 kg
Wymiary:
23.39 x 15.6 x 1.27
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

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

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.

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’.



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