TO OPTIMIZE THE COP OF REFRIGERATION SYSTEM BY PARTICLE SWARM OPTIMIZATION ALGORITHM

来源 :2016冷冻空调亚洲大会(8th Asian Conference on Refrigeration and Air-c | 被引量 : 0次 | 上传用户：zhym821211

【摘要】

：

【作者】

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Chun-Wei Chen Hong-Ping Cheng Yu-Wei Lin

【机构】

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Instrument Technology Research Center,NARL,20,R&D Rd.VI,Hsinchu Science Park,Hsinchu,30076,Taiwan,R.

【出处】

：

2016冷冻空调亚洲大会(8th Asian Conference on Refrigeration and Air-c

【发表日期】

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2016年3期

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　　This study employs the particle swarm optimization algorithm to determine the optimum operation of each refrigerant compressor unit within the refrigeration system to obtain the most energy-saving operation for maximum operation efficiency of the system(energy consumption efficiency),according to the actual required refrigeration capacity at load side,actual performance and operation condition of each unit.The results reflect that the particle swarm optimization algorithm can obtain the optimum solution and increase the coefficient of performance of the original refrigeration system by 7.98%.

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TO OPTIMIZE THE COP OF REFRIGERATION SYSTEM BY PARTICLE SWARM OPTIMIZATION ALGORITHM

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