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재실 확률과 인지적 에이전트를 연계한 빌딩 에너지 시뮬레이션

Stochastic and Cognitive Agent-based Building Energy Simulation

  • 박상린 (성균관대 u-City공학과 대학원) ;
  • 김종헌 (성균관대 u-City공학과 대학원) ;
  • 김덕우 (성균관대 건설환경시스템공학과 대학원) ;
  • 박철수 (성균관대 u-City공학과)
  • 투고 : 2011.10.06
  • 발행 : 2012.01.25

초록

In the area of building simulation, occupant modeling is one of the challenging problems due to its high uncertainty as well as its significant impact on energy simulation. To handle this, a new modeling approach, so-called an agent-based simulation approach, is demonstrated in this paper. An agent-based model deals with cognitive agents endowed with a set of behaviors that are designed to mimic behaviour of humans under certain circumstances. The agent-based model also includes stochastic movement of occupants inside multiple zones. In the paper, a series of agent-based building energy simulation runs were performed and compared with traditional building simulation runs. It was found that the results of the agent-based simulation is significantly different from those of the traditional simulation runs. The proposed model may pave a new way for the next generation of building simulation.

키워드

참고문헌

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