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Stochastic and Cognitive Agent-based Building Energy Simulation

재실 확률과 인지적 에이전트를 연계한 빌딩 에너지 시뮬레이션

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

Abstract

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.

Keywords

References

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