Building Indoor Temperature Control Using Model Predictive Control in Cooling Systems

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• 作者：Chang-Jin Boo^* ; ^{boo1004@jeju.ac.kr" class="auth_mail" title="E-mail the corresponding author} ; Jeong-Hyuk Kim^* ; ^{ggum21c@jeju.ac.kr" class="auth_mail" title="E-mail the corresponding author} ; Ho-Chan Kim^** ; ^{hckim@jejunu.ac.kr" class="auth_mail" title="E-mail the corresponding author} ; Kwang Y. Lee^*** ; ^{Kwang_Y_Lee@baylor.edu" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Energy saving ; photovoltaic system ; energy storage system ; peak power reduction ; model predictive control ; building indoor temperature control
• 刊名：IFAC-PapersOnLine
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：48
• 期：30
• 页码：316-320
• 全文大小：661 K

文摘

In this paper, an energy efficient temperature control algorithm with a photovoltaic (PV) system in cooling systems of a large glass-covered building is proposed using control horizon method. A control horizon switching method and linear programming algorithm is used for optimal control, and a time-of-use (TOU) electricity rate is included to calculate the energy costs. Simulation results show that the reductions of energy cost and peak power can be obtained using proposed algorithms.