Thermal comfort evaluation of an underground metro station in New Delhi using agent-based modelling

This paper presents an agent-based modelling approach to evaluate the thermal comfort of an underground metro station in New Delhi, India. Thermal characteristics of different zones of the metro station are evaluated through real-time field measurements and subjective surveys. Exposure time of passe...

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Bibliographic Details
Published in:Building and environment 2020-06, Vol.177, p.106924, Article 106924
Main Authors: Sinha, Kapil, Rajasekar, E.
Format: Article
Language:English
Subjects:
Agent-based modelling
Agent-based models
Boarding
Evaluation
Exposure
Insulation
Metabolic rate
Metabolism
Neutral temperature
Passengers
Peak periods
Relative warmth index
Stochastic processes
Stochasticity
Subway stations
Subways
Temperature
Thermal comfort
Underground stations
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Summary:This paper presents an agent-based modelling approach to evaluate the thermal comfort of an underground metro station in New Delhi, India. Thermal characteristics of different zones of the metro station are evaluated through real-time field measurements and subjective surveys. Exposure time of passengers is assessed with the walking speed, time taken for process activities and stochastic events during peak and off-peak periods of metro operation. Agent-based model is developed to capture the dynamics of exposure time, metabolic rates and clothing insulation. Thermal comfort is estimated using relative warmth index (RWI) employing dynamic exposure time, metabolic rates and clothing insulation data for alighting and boarding sequences. The estimated RWI values are validated using subjective thermal sensation votes reported by the passengers. Neutral temperature is estimated for different zones of the metro station considering the exposure time and metabolic rates. •Agent based modelling for estimation of transient thermal comfort in a metro station.•Estimation of dynamic exposure time, metabolic rates and clothing insulation through agent based modelling.•Real-time field measurement to characterize thermal conditions in a metro station.•Subjective evaluation of thermal comfort through transverse and sequential surveys.•Estimation of operational set point temperatures for different zones using RWI.
ISSN:0360-1323
1873-684X
DOI:10.1016/j.buildenv.2020.106924