Power Output Enhancement of Solar Panels by Field Area Optimization

被引：0
|
作者：
Tanwar, Mangila Prasad [1 ]
Agarwal, Anshul [2 ]
Mishra, Abhishek [1 ]
机构：
[1] NIT Delhi, ME Dept, New Delhi, India
[2] NIT Delhi, EEE Dept, New Delhi, India
来源：
2018 INTERNATIONAL CONFERENCE ON COMPUTING, POWER AND COMMUNICATION TECHNOLOGIES (GUCON) | 2018年
关键词：
Solar field area; power output; solar panel; genetic algorithm; DESIGN OPTIMIZATION; ENERGY GENERATION; SYSTEM; PERFORMANCE; COLLECTORS;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Solar energy is a major renewable energy, source with the potential to meet many of the challenges facing the world, but to extract maximum power output from solar field, optimal design is required where solar panels are going to be installed. The optimization of solar field area is investigated based on the optimal design of field parameters to maximize the power output. The optimal design of solar field is considered by formulating two objective optimization problems-minimization the solar field area and maximization of power output. Multi-objective optimum design of solar field is also considered by analytical calculation. Multi-objective optimization problems derived by using genetic algorithm in MATLAB.
引用
收藏
页码：357 / 361
页数：5
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