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Advanced Decision Making for HVAC Engineers: Creating Energy Efficient Smart Buildings
Kategorie Beschreibung
036aXA-DE
037beng
087q978-3-319-33327-4
100 Khazaii, Javad
331 Advanced Decision Making for HVAC Engineers
335 Creating Energy Efficient Smart Buildings
410 Cham
412 Springer
425 2016
425a2016
433 Online-Ressource (XVII, 191 p. 40 illus. in color, online resource)
451bSpringerLink. Bücher
527 Druckausg.ISBN: 978-3-319-33327-4
527 Printed editionISBN: 978-3-319-33327-4
540aISBN 978-3-319-33328-1
700 |TEC009020
700 |TH
700 |TEC031000
700b|658.26
700c|T58.8
750 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’
753 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 Future
902s 209536241 Klimaanlage
902s 307187136 Energieeffizienz
012 477157211
081 Khazaii, Javad: Advanced Decision Making for HVAC Engineers
100 Springer E-Book
125aElektronischer Volltext - Campuslizenz
655e$uhttp://dx.doi.org/10.1007/978-3-319-33328-1
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