Cargando…

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

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 algo...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Khazaii, Javad (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-319-33328-1
003 DE-He213
005 20220117045225.0
007 cr nn 008mamaa
008 160810s2016 sz | s |||| 0|eng d
020 |a 9783319333281  |9 978-3-319-33328-1 
024 7 |a 10.1007/978-3-319-33328-1  |2 doi 
050 4 |a HD9502-9502.5 
072 7 |a RN  |2 bicssc 
072 7 |a TEC031000  |2 bisacsh 
072 7 |a RN  |2 thema 
082 0 4 |a 333.7  |2 23 
100 1 |a Khazaii, Javad.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Advanced Decision Making for HVAC Engineers  |h [electronic resource] :  |b Creating Energy Efficient Smart Buildings /  |c by Javad Khazaii. 
250 |a 1st ed. 2016. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a XVII, 191 p. 40 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a 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. 
520 |a 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'. 
650 0 |a Energy policy. 
650 0 |a Energy and state. 
650 0 |a Buildings-Environmental engineering. 
650 0 |a Electric power production. 
650 0 |a Operations research. 
650 1 4 |a Energy Policy, Economics and Management. 
650 2 4 |a Building Physics, HVAC. 
650 2 4 |a Electrical Power Engineering. 
650 2 4 |a Mechanical Power Engineering. 
650 2 4 |a Operations Research and Decision Theory. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783319333274 
776 0 8 |i Printed edition:  |z 9783319333298 
776 0 8 |i Printed edition:  |z 9783319814865 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-319-33328-1  |z Texto Completo 
912 |a ZDB-2-ENE 
912 |a ZDB-2-SXEN 
950 |a Energy (SpringerNature-40367) 
950 |a Energy (R0) (SpringerNature-43717)