ISBN:
9783036596914
,
9783036596907
Language:
Undetermined
Pages:
1 Online-Ressource (272 p.)
Keywords:
Technology: general issues
;
History of engineering & technology
;
indoor air quality
;
high occupancy rate
;
natural ventilation
;
university building
;
intelligent packaging
;
temperature
;
humidity
;
supply chain
;
food waste
;
food quality
;
food preservation
;
transportation
;
grain bin
;
PCM
;
phase change temperature
;
energy saving
;
PCM latent heat
;
mobile public toilets
;
thermal environment
;
public health security
;
mechanical ventilation
;
aerosol transmission risk
;
underground commercial buildings
;
field measurement
;
air distribution optimization
;
M-cycle
;
evaporative cooling
;
solid desiccant
;
humidification–dehumidification desalination
;
water production
;
load data analysis
;
demand side management (DSM)
;
rural home hotels
;
cluster control strategy
;
PCM storage
;
air conditioning system
;
pattern recognition
;
clustering
;
correlation analysis
;
defrosting operation mode
;
low-carbon substation
;
climate zones
;
envelope thermal design
;
window to wall ratio
;
shape factor
;
chillers
;
fault diagnosis
;
fusion
;
residual
;
data
;
air-conditioned bed system
;
heat conduction heating
;
convection heating
;
thermal comfort
;
energy conservation
;
genetic algorithm
;
existing office parks
;
whole life cycle
;
cost benefits
;
carbon reduction
;
retrofit
;
relative humidity
;
CO concentration
;
CO2 concentration
;
cooking procedure
;
n/a
Abstract:
This reprint, entitled “Application of data-driven method for HVAC System”, is dedicated to providing an overview of the latest achievements in the application of data-driven methods for HVAC systems. Topics of interest include, but are not limited to, the following: fault detection and diagnosis of HVAC systems; energy consumption prediction; model predictive control; data mining and analysis of HVAC systems; data mining and analysis of building environment; energy conservation; energy saving
Note:
English
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