Parameter extraction and performance evaluation of glazed PVT module for Indian climatic conditions based on soft computing technique

Sonveer Singh, A. Dash, N. Kumar, S. Agrawal
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引用次数: 3

Abstract

The work is carried out in two ways; one is the overall exergy efficiency of glazed photovoltaic thermal (PVT) module which is optimized with soft computing technique. Evolutionary algorithm is used as a computing techniques in this work. The overall exergy efficiency is considered as the objective function while the optimization is carried out. Secondly, the annual performance of optimized (different parameter like the depth and length of the channel, thickness of tedlar etc.) glazed PVT module has been evaluated. This evaluation has been carried out in four different cities of India (New Delhi, Srinagar, Jodhpur and Bangalore). Here the four weather conditions have been considered like-sClear days, Hazy Days, Hazy and cloudy days and Cloudy days. Overall exergy efficiency for New Delhi, Bangalore, Srinagar and Jodhpur has been observed for a year, for each weather condition. There are improvements in overall annual exergy efficiency, annual thermal gain and annual exergy gain of the proposed glazed PVT module for New Delhi, Jodhpur, Srinagar and Bangalore and the range of improvement in monthly overall exergy efficiency is 5.8 % to 14.70 % than the model given in literature.
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基于软计算技术的印度气候条件下釉面PVT模块参数提取及性能评价
这项工作以两种方式进行;一是采用软计算技术优化釉面光伏热组件的整体火用效率。在这项工作中,进化算法被用作一种计算技术。在进行优化时,以总用能效率为目标函数。其次,对优化后的PVT模块进行了年度性能评价(不同参数如槽深、槽长、面板厚度等)。这项评价是在印度四个不同的城市(新德里、斯利那加、焦特布尔和班加罗尔)进行的。这里的四种天气条件被认为是晴天、雾霾天、雾霾多云天和阴天。新德里、班加罗尔、斯利那加和焦特布尔的总体能源效率已经观察了一年,针对每种天气条件。在新德里、焦特布尔、斯利那加和班加罗尔,拟议的玻璃PVT模块的年总火用效率、年热增益和年火用增益均有改善,月总火用效率的改善范围为5.8%至14.70%,比文献中给出的模型。
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