A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Agent-Based Energy Consumption Behavior Model for Community Multi-node Building Occupants
Occupant behavior is the main source of discrepancy between predicted and actual building performance, and this discrepancy is further widened in community buildings. This paper established the community occupant agent model (COAM) to generate community-level occupancy data. The model delineates the agent system boundaries from the bottom up in the perspective of complex adaptive systems (CAS). Anylogic is used to randomize and represent the decision behavior of community occupants. The case community of Xi’an is selected for the study, where the model time scale is 1 min. The measured and simulated values of the community office building occupancy were compared, and R-square = 0.8651 indicated the model’s ability to reflect the transfer behavior of actual community occupants. This paper focuses more on representing occupant behavior at the community level, and the method can provide schedule data for the urban building energy modelling (UBEM).
Agent-Based Energy Consumption Behavior Model for Community Multi-node Building Occupants
Occupant behavior is the main source of discrepancy between predicted and actual building performance, and this discrepancy is further widened in community buildings. This paper established the community occupant agent model (COAM) to generate community-level occupancy data. The model delineates the agent system boundaries from the bottom up in the perspective of complex adaptive systems (CAS). Anylogic is used to randomize and represent the decision behavior of community occupants. The case community of Xi’an is selected for the study, where the model time scale is 1 min. The measured and simulated values of the community office building occupancy were compared, and R-square = 0.8651 indicated the model’s ability to reflect the transfer behavior of actual community occupants. This paper focuses more on representing occupant behavior at the community level, and the method can provide schedule data for the urban building energy modelling (UBEM).
Agent-Based Energy Consumption Behavior Model for Community Multi-node Building Occupants
Environ Sci Eng
Wang, Liangzhu Leon (editor) / Ge, Hua (editor) / Zhai, Zhiqiang John (editor) / Qi, Dahai (editor) / Ouf, Mohamed (editor) / Sun, Chanjuan (editor) / Wang, Dengjia (editor) / Liu, Yangfeng (author) / Yu, Zuoxiang (author) / Song, Cong (author)
International Conference on Building Energy and Environment ; 2022
Proceedings of the 5th International Conference on Building Energy and Environment ; Chapter: 271 ; 2527-2535
2023-09-05
9 pages
Article/Chapter (Book)
Electronic Resource
English
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