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ÃÖÀûÈ ¾Ë°í¸®ÁòÀ» ÀÌ¿ëÇÑ ³Ã¹æ½Ã½ºÅÛ ÃÖÀû Á¦¾î / Optimal control strategies for a residential cooling system / 4. ¼³ºñ½Ã½ºÅÛ ¹× ±âŸ |
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Ãá°èÇмú¹ßÇ¥´ëȸ, 2011 (2011-03) |
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½ÃÀÛÆäÀÌÁö(253) ÃÑÆäÀÌÁö(4) |
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³Ã¹æ ½Ã½ºÅÛ ; ÃÖÀû Á¦¾î ; ¿¡³ÊÁöÇ÷¯½º ; ½Ã¹Ä·¹ÀÌ¼Ç ; Cooing System ; Optimal Control ; EnergyPlus ; Simulation |
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In the Korean Ministry of Knowledge Economy (MKE) funded research project that the authors has been conducting, the different integrated optimal control strategies are studied for a smart home. This paper addresses optimal control of a cooling system in a residential building. The optimal control of the cooling system means keeping optimal cooling setpoint temperature. In the study, the Fmincon in MATLAB optimization toolbox was chosen to deal with the constrained discrete optimization problem. It is shown in the paper that how much energy can be saved when optimal control is applied compared to the rule-based control. |