The effects of climate change on photovoltaic solar production in hot regions

Q3 Engineering
Diagnostyka Pub Date : 2022-08-31 DOI:10.29354/diag/152276
M. Al-Baghdadi, A. Ridha, A. Al-Khayyat
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引用次数: 0

Abstract

The work of solar cells and their production of electrical energy have been affected by climate change, especially in hot regions which became significantly hotter and still receive relatively high levels of solar radiation throughout the year. Higher ambient temperature and solar radiation result in higher PV cell temperature and, therefore, the reduction in PV module power output and efficiency. This study investigates how a PV module performs throughout the year in a hot region by considering the variations in cell temperature resulting from changes in ambient temperature and solar radiation every day. The tilt angles and two-axis tracking have also been examined. Results indicate that the two-axis solar tracking system is critical to use in hot regions for obtaining higher output power. Therefore, part of this power can be used to cool solar panels using various methods to keep their efficiency high, such as operating air fans or operating pumps to cool them with coolant.
气候变化对炎热地区光伏太阳能生产的影响
太阳能电池的工作及其电能生产受到气候变化的影响,尤其是在炎热地区,这些地区变得明显更热,全年仍受到相对较高的太阳辐射。较高的环境温度和太阳辐射导致较高的光伏电池温度,从而降低光伏模块的功率输出和效率。这项研究通过考虑环境温度和太阳辐射每天的变化导致的电池温度变化,调查了光伏组件在炎热地区全年的表现。倾斜角度和双轴跟踪也已经过检查。结果表明,双轴太阳跟踪系统对于在高温地区使用以获得更高的输出功率至关重要。因此,这种电力的一部分可以用来冷却太阳能电池板,使用各种方法来保持它们的高效率,例如操作风扇或操作泵来用冷却剂冷却它们。
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来源期刊
Diagnostyka
Diagnostyka Engineering-Mechanical Engineering
CiteScore
2.20
自引率
0.00%
发文量
41
期刊介绍: Diagnostyka – is a quarterly published by the Polish Society of Technical Diagnostics (PSTD). The journal “Diagnostyka” was established by the decision of the Presidium of Main Board of the Polish Society of Technical Diagnostics on August, 21st 2000 and replaced published since 1990 reference book of the PSTD named “Diagnosta”. In the years 2000-2003 there were issued annually two numbers of the journal, since 2004 “Diagnostyka” is issued as a quarterly. Research areas covered include: -theory of the technical diagnostics, -experimental diagnostic research of processes, objects and systems, -analytical, symptom and simulation models of technical objects, -algorithms, methods and devices for diagnosing, prognosis and genesis of condition of technical objects, -methods for detection, localization and identification of damages of technical objects, -artificial intelligence in diagnostics, neural nets, fuzzy systems, genetic algorithms, expert systems, -application of technical diagnostics, -diagnostic issues in mechanical and civil engineering, -medical and biological diagnostics with signal processing application, -structural health monitoring, -machines, -noise and vibration, -analysis of technical and civil systems.
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