TY - JOUR
T1 - Building information modeling (BIM), System dynamics (SD), and Agent-based modeling (ABM)
T2 - Towards an integrated approach
AU - Uddin, M. N.
AU - Wang, Q.
AU - Wei, Hsi Hsien
AU - Chi, Hung Lin
AU - Ni, Meng
N1 - Funding Information:
The authors wish to thank the Department of Building and Real Estate, The Hong Kong Polytechnic University for funding this research.
Publisher Copyright:
© 2021 THE AUTHORS
PY - 2021/12
Y1 - 2021/12
N2 - Several frameworks are introduced to address occupancy-based building performance. However, the performance predictions obtained using these frameworks deviate from real performance. So, this study's aim is to represent a new framework for the automatic assessment of occupants’ comfort and building indoor performance using BIM and the SD-ABM platform. Initially, an office space in Hong Kong, consisting of 10 occupants, was considered for the BIM model construction. The occupancy, indoor data and required equations are defined using the SD-ABM model. Essential data from the BIM model can be transferred using the Dynamo-Excel platform. Furthermore, a validation study was conducted using a paper-based survey from the occupants and sensor data for environmental data monitoring while error metrics were also calculated. The framework actively predicts occupant presence, comfort level, temperatures, and CO2 concentration in the office space. However, a comprehensive usability and feasibility study is required to assess the efficiency of the framework.
AB - Several frameworks are introduced to address occupancy-based building performance. However, the performance predictions obtained using these frameworks deviate from real performance. So, this study's aim is to represent a new framework for the automatic assessment of occupants’ comfort and building indoor performance using BIM and the SD-ABM platform. Initially, an office space in Hong Kong, consisting of 10 occupants, was considered for the BIM model construction. The occupancy, indoor data and required equations are defined using the SD-ABM model. Essential data from the BIM model can be transferred using the Dynamo-Excel platform. Furthermore, a validation study was conducted using a paper-based survey from the occupants and sensor data for environmental data monitoring while error metrics were also calculated. The framework actively predicts occupant presence, comfort level, temperatures, and CO2 concentration in the office space. However, a comprehensive usability and feasibility study is required to assess the efficiency of the framework.
KW - ABM & Occupant Comfort
KW - BIM
KW - BPS
KW - Office Building
KW - SD
UR - http://www.scopus.com/inward/record.url?scp=85105546635&partnerID=8YFLogxK
U2 - 10.1016/j.asej.2021.04.015
DO - 10.1016/j.asej.2021.04.015
M3 - Journal article
AN - SCOPUS:85105546635
SN - 2090-4479
VL - 12
SP - 4261
EP - 4274
JO - Ain Shams Engineering Journal
JF - Ain Shams Engineering Journal
IS - 4
ER -