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RLF and TS fuzzy model identification of indoor thermal comfort based on PMV/PPD

This work presents a hybrid model to be used for effectively controlling indoor thermal comfort in a heating, ventilating and air conditioning (HVAC) system. The first modeling part is related to the building structure and its fixture. Since building models contain many nonlinearities and have large...

詳細記述

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書誌詳細
主要な著者: Homod R.Z., Mohamed Sahari K.S., Almurib H.A.F., Nagi F.H.
その他の著者: 36994633500
フォーマット: 論文
出版事項: 2023
主題:
Building model
Energy control
HVAC
PMV/PPD
RLF method
Thermal comfort
Air conditioning
Identification (control systems)
Newton-Raphson method
Power control
Signal processing
Structural optimization
Building structure
Delay Time
Empirical calculations
Gauss-Newton methods
HVAC system
Hybrid model
Indoor thermal comfort
Modeling capabilities
Non-linear regression
Optimization procedures
Parameter variation
Predicted mean vote
Reference signals
Residential load factors
Structure identification
T S models
T-S fuzzy models
Takagi-sugeno fuzzy models
Temperature reference
Thermal inertia
Thermal sensations
White-box models
air conditioning
architectural design
fuzzy mathematics
Gaussian method
indoor air
optimization
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