利用物联网和CFD优化高温环境下的太阳能光伏组件性能;案例研究:伊拉克基尔库克

Yaareb Elias Ahmed , Jagadeesh Pasupuleti , Firas Basim Ismail , Suad Hassan Danook , Fadhil Khadoum alhousni , Mohammad Reza Maghami
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引用次数: 0

摘要

-太阳能光伏(PV)系统越来越多地被用作可持续能源。然而,它们的效率受到高工作温度的显著影响,特别是在像伊拉克基尔库克这样的太阳辐照度和环境温度高的地区。冷却系统可以通过保持最佳工作温度来缓解这一问题,从而提高系统性能和使用寿命。本研究通过实验和计算流体动力学(CFD)模拟相结合的方法研究了受控冷却系统对太阳能光伏组件性能的影响。一个基于物联网的控制系统,利用Ewelink Android移动应用程序,实现远程监控和控制冷却系统。使用了两个太阳能模块:一个有控制冷却系统,另一个没有冷却系统。实验设置包括在伊拉克基尔库克的各种环境条件下监测两个模块的温度和功率输出。采用CFD模拟技术对模块周围的温度分布和气流模式进行可视化分析。实验和仿真研究的结果表明,控制冷却系统有效地降低了模块温度,从而显著提高了能量输出。基于物联网的控制系统能够精确调节冷却系统,进一步提高光伏系统的效率和可靠性。CFD模拟为模块的热行为提供了有价值的见解,有助于确定高温集中区域并优化冷却系统设计。这项研究的结果强调了控制冷却系统在提高太阳能光伏系统性能和寿命方面的重要性,特别是在太阳辐照度高、环境温度高的地区,如伊拉克基尔库克。通过实施有效的冷却策略,可以最大限度地提高太阳能光伏系统的能量输出,并为更可持续的能源未来做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Leveraging IoT and CFD to optimize solar PV module performance in high-temperature environments; case study: Kirkuk, Iraq

Leveraging IoT and CFD to optimize solar PV module performance in high-temperature environments; case study: Kirkuk, Iraq
-Solar photovoltaic (PV) systems are increasingly employed as a sustainable energy source. However, their efficiency is significantly affected by high operating temperatures, especially in regions like Kirkuk, Iraq, with high solar irradiance and ambient temperatures. Cooling systems can mitigate this issue by maintaining optimal operating temperatures, thereby improving system performance and lifespan. This research investigates the impact of a controlled cooling system on solar PV module performance through a combination of experimental and computational fluid dynamics (CFD) simulations. An IoT-based control system, utilizing an Ewelink Android mobile app, was implemented to remotely monitor and control the cooling system. Two solar modules were utilized: one with a controlled cooling system and the other without cooling. The experimental setup involved monitoring the temperature and power output of both modules under various environmental conditions in Kirkuk, Iraq. CFD simulations were employed to visualize and analyze the temperature distribution and airflow patterns around the modules. The results from both experimental and simulation studies demonstrated that the controlled cooling system effectively reduced the module temperature, leading to a significant improvement in energy output. The IoT-based control system enabled precise regulation of the cooling system, further enhancing the efficiency and reliability of the PV system. The CFD simulations provided valuable insights into the thermal behavior of the modules, helping to identify areas of high temperature concentration and optimize the cooling system design. The findings of this research highlight the importance of controlled cooling systems in enhancing the performance and longevity of solar PV systems, particularly in regions with high solar irradiance and ambient temperatures like Kirkuk, Iraq. By implementing effective cooling strategies, it is possible to maximize the energy output of solar PV systems and contribute to a more sustainable energy future.
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