利用模擬退火法與和弦搜尋法比較中央空調之最佳負載分配

杜建甫

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College of Mechanical and Electrical Engineering > Master's Program, Department of Air-conditioning and Refrigeration Engineering
Engineering > Municipal Engineering & Environment Engineering
Engineering > Electrical Engineering

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利用模擬退火法與和弦搜尋法比較中央空調之最佳負載分配

The Optimal Loading Distribution of Air-Condition System by Simulated Annealing and Harmony Search Algorithm

杜建甫 , Masters　　Advisor：鄭鴻斌　　

繁體中文

中央空調系統；最佳負載分配；模擬退火演算法；和弦搜尋演算法；決策支援系統； Central Air Conditioning System ； Optimal Chiller Loading ； Simulated Annealing ； Harmony Search ； Decision Support System

Abstract │ Reference (25) │ Altmetrics

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Parallel Abstract 〈TOP〉

In order to reach the optimal air-conditioning, it is necessary to consider all controllable equipmentsuch as chiller plant, chiller pumps, cooling water pumps and cooling towers.If all equipment collocations of low energy consumption are founded and demand ofrefrigerationcapacity is satisfied, the optimal load distribution of air conditioning can be reached.Therefore, this study used Simulated Annealing(SA) and Harmony Search(HS) to find the optimal load distribution and compared with the traditional Equal Loading Distribution method (ELD) to develop the Decision Support System (DSS) which is easy to manipulate and calculate for humanity.Through this study, the better effects of energy conservation in different indoor load capacity can be founded. The result shows that HS is rapider and has better energy conservation than SA. For central air-conditioning system applied in this study, HS can even reach up to 11.9% of energy conservation to reach the purpose of improving overall equipment effectiveness.

Reference ( 25 ) 〈TOP〉

[4] C.W. Chen, C.W. Lee and C.Y. Chen, “To Enhance the Energy Efficiency of Chiller Plants with System Optimization Theory”, Energy and Environment, Vol. 21, pp.409-424, 2010.
連結：
[5] Y.C. Chang, J.K. Lin, M.H. Chuang, ”Optimal Chiller Loading by Genetic Algorithm for Reducing Energy Consumption”, Energy and Buildings, Vol. 37, pp. 147–155, 2005.
連結：
[6] 李俊賢，應用模擬退火法於空調系統運轉之最佳化，國立台北科技大學能源與冷凍空調工程研究所碩士論文，民98。
連結：
[7] 李奕軒，冰水主機與冷卻水塔控制策略之耗能分析，國立台北科技大學能源與冷凍空調工程研究所碩士論文，民98。
連結：
[9] AlessandroBeghi, Luca Cecchinato, Giovanni Cosi, MircoRampazzo,“A PSO-Based Algorithm for Optimal Multiple Chiller Systems Operation”, AppliedThermal Engineering,Vol. 32, pp. 31–40, 2012.
連結：

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