一个改进的数值模型来预测太阳能光伏系统的操作温度和效率
Shubham Kumar1, P M V Subbarao2
1Dept. of Mech. Eng., Indian Institute of Technology Delhi, Hauz Khas, 110016, New Delhi, Delhi, India. shubham.kumar@mech.iitd.ac.in.
概括
准确的太阳能电池温度预测对于优化太阳能光伏 (PV) 系统性能至关重要. 这项研究开发了一种新模型,可以准确预测光伏电池的温度和效率,从而改善可再生能源输出预测.
科学领域:
- 可再生能源工程可再生能源工程
- 太阳能光伏的热管理
- 数字建模 数字建模
背景情况:
- 太阳能光伏 (PV) 系统对于可再生能源发电至关重要,但在实际操作条件下,随着电池温度的上升,它们的效率会下降.
- 预测工作电池温度对于准确的光伏系统输出评估和性能优化至关重要.
研究的目的:
- 开发和验证一维过渡多层模型,用于预测太阳能光伏电池的操作温度.
- 确定在可变环境条件下的光伏系统最合适的对流系数表达式.
- 提出一种基于细胞温度和辐射的光伏效率预测的新零碎函数.
主要方法:
- 开发了一个使用有限差异方法的1D过渡多层模型.
- 显式辐射和隐式对流术语用于方程线性化,避免代过程.
- 分析了各种对流系数表达式;来自于统一热流的边界层理论的表达式显示了最高的准确性.
主要成果:
- 开发的模型准确地预测了光伏电池温度,平均误差为3.92%和0.95°C,使用特定的对流系数.
- 在光伏层中分割热源的影响最小 (<0.14°C),可以为了简单而省略.
- 对光伏效率的新零碎函数实现了1.62% (阳光明) 和1.25% (阴云) 的平均误差,优于现有模型.
结论:
- 经过验证的模型提供了对光伏电池温度和系统效率的准确预测.
- 这些发现支持对光伏安装,技术选择以及冷却系统的必要性做出明智的决定.
- 这项研究提高了太阳能发电量预测的可靠性.
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