Advanced Decision Making for HVAC Engineers : Creating Energy Efficient Smart Buildings / by Javad Khazaii

By:

Khazaii, Javad [aut]

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink Bücher | Springer eBook Collection EnergyPublisher: Cham : Springer, 2016Description: Online-Ressource (XVII, 191 p. 40 illus. in color, online resource)ISBN:

9783319333281

Subject(s):

Additional physical formats: 9783319333274 | Druckausg.: 978-3-319-33327-4 | Printed edition: 9783319333274 LOC classification:

T58.8

DOI: DOI: 10.1007/978-3-319-33328-1Online resources:

Summary: 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’Summary: Introduction -- Heat Transfer in a Nutshell -- Load Calculation and Energy Modeling -- Data Centers -- Healthcare Facilities -- Laboratories -- Cleanrooms -- Commercial Kitchens and Dining Facilities -- Introduction -- Analytical Hierarchy Process -- Genetic Algorithm Optimization -- Pareto Base Optimization -- Decision making under uncertainty -- Agent Based Modeling -- Artificial Neural Network -- Fuzzy Logic -- Game Theory -- Buildings of the FuturePPN: PPN: 1658675436Package identifier: Produktsigel: ZDB-2-ENE | ZDB-2-SEB | ZDB-2-SXEN

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