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Neural Network Models Using Thermal Sensations And Occupants’ Behavior For Predicting Thermal Comfort, Zhipeng Deng, Qingyan Chen
Neural Network Models Using Thermal Sensations And Occupants’ Behavior For Predicting Thermal Comfort, Zhipeng Deng, Qingyan Chen
International Building Physics Conference 2018
It is important to create comfortable indoor environments for building occupants. This study developed neural network (NN) models for predicting thermal comfort in indoor environments by using thermal sensations and occupants’ behavior. The models were trained by data on air temperature, relative humidity, clothing insulation, metabolic rate, thermal sensations, and occupants’ behavior collected in ten offices. The models were able to predict similar acceptable air temperature ranges in offices, from 20.6℃ to 25℃ in winter and from 20.6℃ to 25.6℃ in summer. The comfort zone obtained by the NN model using thermal sensations in the ten offices was narrower than …
Implementation Of Integrated Wireless Sensors Technology In Renovation Of Social Housing Buildings. A Danish Case Study., Hagar Elarga, Danai Alifragki, Carsten Rode
Implementation Of Integrated Wireless Sensors Technology In Renovation Of Social Housing Buildings. A Danish Case Study., Hagar Elarga, Danai Alifragki, Carsten Rode
International Building Physics Conference 2018
Social housing units built in the 1960s and 1970s make up one-fifth of all housing units in Denmark. Their renovation is an important step towards meeting the goals of the national energy road map. Sensors based on wireless technology could be considered a feasible solution to increase occupant’s awareness towards their indoor climate and their energy consumption. In the present experimental study, a framework implementing wireless sensors to monitor energy and indoor climate before and after renovation has been applied in two apartments of a Danish social housing site. In the first phase of the study, the accuracy of some …