Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Advanced Decision Making for HVAC En...
~
Khazaii, Javad.
Advanced Decision Making for HVAC Engineers = Creating Energy Efficient Smart Buildings /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Advanced Decision Making for HVAC Engineers/ by Javad Khazaii.
Reminder of title:
Creating Energy Efficient Smart Buildings /
Author:
Khazaii, Javad.
Description:
XVII, 191 p. 40 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Energy efficiency. -
Online resource:
https://doi.org/10.1007/978-3-319-33328-1
ISBN:
9783319333281
Advanced Decision Making for HVAC Engineers = Creating Energy Efficient Smart Buildings /
Khazaii, Javad.
Advanced Decision Making for HVAC Engineers
Creating Energy Efficient Smart Buildings /[electronic resource] :by Javad Khazaii. - 1st ed. 2016. - XVII, 191 p. 40 illus. in color.online resource.
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.
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’.
ISBN: 9783319333281
Standard No.: 10.1007/978-3-319-33328-1doiSubjects--Topical Terms:
1175986
Energy efficiency.
LC Class. No.: T58.8
Dewey Class. No.: 658.26
Advanced Decision Making for HVAC Engineers = Creating Energy Efficient Smart Buildings /
LDR
:02552nam a22003975i 4500
001
982657
003
DE-He213
005
20200706164154.0
007
cr nn 008mamaa
008
201211s2016 gw | 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
035
$a
978-3-319-33328-1
050
4
$a
T58.8
072
7
$a
TH
$2
bicssc
072
7
$a
TEC031000
$2
bisacsh
072
7
$a
TH
$2
thema
082
0 4
$a
658.26
$2
23
100
1
$a
Khazaii, Javad.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1112611
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 efficiency.
$3
1175986
650
0
$a
Building construction.
$3
1255346
650
0
$a
Energy systems.
$3
1253529
650
0
$a
Operations research.
$3
573517
650
0
$a
Decision making.
$3
528319
650
1 4
$a
Energy Efficiency.
$3
1112432
650
2 4
$a
Building Physics, HVAC.
$3
1020217
650
2 4
$a
Energy Systems.
$3
785876
650
2 4
$a
Operations Research/Decision Theory.
$3
669176
710
2
$a
SpringerLink (Online service)
$3
593884
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.org/10.1007/978-3-319-33328-1
912
$a
ZDB-2-ENE
912
$a
ZDB-2-SXEN
950
$a
Energy (SpringerNature-40367)
950
$a
Energy (R0) (SpringerNature-43717)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login