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Àç½Ç È®·ü°ú ÀÎÁöÀû ¿¡ÀÌÀüÆ®¸¦ ¿¬°èÇÑ ºôµù ¿¡³ÊÁö ½Ã¹Ä·¹ÀÌ¼Ç / Stochastic and Cognitive Agent-based Building Energy Simulation |
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¹Ú»ó¸° (Park, Sang-Lin) ; ±èÁ¾Çå (Kim, Jong-Hun) ; ±è´ö¿ì (Kim, Deuk-Woo) ; ¹Úö¼ö (Park, Cheol-Soo) |
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´ëÇÑ°ÇÃàÇÐȸ³í¹®Áý °èȹ°è, v.28 n.01 (2012-01) |
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½ÃÀÛÆäÀÌÁö(293) ÃÑÆäÀÌÁö(9) |
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ºôµù ¿¡³ÊÁö ½Ã¹Ä·¹ÀÌ¼Ç ; ¿¡ÀÌÀüÆ® ½Ã¹Ä·¹ÀÌ¼Ç ; Àç½ÇÀÚ ; NetLogo ; BCVTB ; Building Energy Simulation ; Agent Simulation ; Occupant ; NetLogo ; BCVTB |
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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. |