Energy-efficient smart solar system cooling for real-time dynamic weather changes in mild-climate regions

被引:5
作者
Novak, Milan [1 ]
Vohnout, Rudolf [1 ]
Landkamer, Ladislav [1 ,2 ]
Budik, Ondrej [1 ]
Eider, Markus [3 ]
Mukherjee, Amrit [1 ]
机构
[1] Univ South Bohemia Ceske Budejovice, Fac Sci, Branisovska 1760, CZ-37005 Ceske Budejovice, Czech Republic
[2] Czech Acad Sci, Inst Entomol, Biol Ctr, Branisovska 31, CZ-37005 Ceske Budejovice, Czech Republic
[3] Deggendorf Inst Technol, Fac Comp Sci, Dieter Gorlitz Pl 1, DE-94469 Deggendorf, Germany
关键词
Photovoltaic panel; Real-time system control; Efficiency; Active cooling; Weather forecast; DATA-ACQUISITION SYSTEM; PHOTOVOLTAIC MODULES; PERFORMANCE; TEMPERATURE; DEGRADATION; IMPACT; PANELS; CELLS;
D O I
10.1016/j.rser.2023.113347
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With changes in climatic conditions, the performance of photovoltaic power plant installations fluctuates, mainly due to excessive heat. The question of their efficient cooling comes to the fore, especially direct cooling, either by cooling media or air. Here, it is proven that the active cooling of photovoltaic panels leads to an increase in the performance, but the overall costs may exceed the benefits (especially for smaller/household installations). Moreover, in conventional approaches, increasing efficiency does not take into account sudden weather changes in the areas that have long been considered stable, such as the temperate climate zone. The proposed solution addresses the maximum number of parameters that can affect the cooling efficiency and introduces effortless rapid decision making system to ensure whether the conditions for active smart cooling are met or not. Parameters such as the amount of cooling medium (rainwater), its temperature, flow control, panel temperature, and the current prediction of local weather conditions based on the rapid changes in barometric pressure are monitored and then used for intelligent automation. By implementing efficient cooling system control that has to evaluate series of input parameters in real-time it was experimentally verified that the performance of photovoltaic panel installation using the spray cooling control system achieves average performance improvement of 14%.
引用
收藏
页数:11
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