{"title":"经过实验验证的热建模,用于预测不同环境条件下光伏组件的温度","authors":"Abdelhak Keddouda , Razika Ihaddadene , Ali Boukhari , Abdelmalek Atia , Müslüm Arıcı , Nacer Lebbihiat , Nabila Ihaddadene","doi":"10.1016/j.renene.2024.120922","DOIUrl":null,"url":null,"abstract":"<div><p>In this work, a detailed analysis and thermal modeling for temperature prediction of a stand-alone photovoltaic module is performed. The study aims to present precise estimation of module temperature, since it is an important parameter for power output calculation. Hence, the required data were collected via experiments. Accounting for all heat transfer mechanisms, and following model validation, a proposed algorithm was implemented to investigate heat transfer from the module to its surrounding and predict different layers’ temperature. Results indicate that accurate energy distribution and temperature prediction was achieved by the adopted thermal model, only about <span><math><mrow><mn>16</mn><mo>%</mo></mrow></math></span> of the received energy is converted to electrical power while the rest is released by heat. Moreover, the proposed simulation algorithm provided one of the best results in comparison to literature models, achieving an <span><math><mrow><msup><mi>R</mi><mn>2</mn></msup></mrow></math></span> of <span><math><mrow><mn>0.963</mn></mrow></math></span> and a <span><math><mrow><mi>M</mi><mi>A</mi><mi>E</mi></mrow></math></span> of <span><math><mrow><mn>1.883</mn></mrow></math></span>, which is very close to the best overall model by King at <span><math><mrow><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mn>0.973</mn></mrow></math></span> and <span><math><mrow><mi>M</mi><mi>A</mi><mi>E</mi><mo>=</mo><mn>1.663</mn></mrow></math></span>. Additionally, two new models for module temperature prediction were proposed. After testing on new data, the explicit model provided a reasonable first approximation attaining an adjusted <span><math><mrow><msup><mi>R</mi><mn>2</mn></msup></mrow></math></span> of <span><math><mrow><mn>0.97</mn></mrow></math></span> and a <span><math><mrow><mi>M</mi><mi>S</mi><mi>E</mi></mrow></math></span> of <span><math><mrow><mn>3.505</mn></mrow></math></span>, and an accurate implicit model, achieving a <span><math><mrow><mi>M</mi><mi>S</mi><mi>E</mi></mrow></math></span> of only <span><math><mrow><mn>1.268</mn></mrow></math></span>.</p></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":null,"pages":null},"PeriodicalIF":9.0000,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Experimentally validated thermal modeling for temperature prediction of photovoltaic modules under variable environmental conditions\",\"authors\":\"Abdelhak Keddouda , Razika Ihaddadene , Ali Boukhari , Abdelmalek Atia , Müslüm Arıcı , Nacer Lebbihiat , Nabila Ihaddadene\",\"doi\":\"10.1016/j.renene.2024.120922\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this work, a detailed analysis and thermal modeling for temperature prediction of a stand-alone photovoltaic module is performed. 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Moreover, the proposed simulation algorithm provided one of the best results in comparison to literature models, achieving an <span><math><mrow><msup><mi>R</mi><mn>2</mn></msup></mrow></math></span> of <span><math><mrow><mn>0.963</mn></mrow></math></span> and a <span><math><mrow><mi>M</mi><mi>A</mi><mi>E</mi></mrow></math></span> of <span><math><mrow><mn>1.883</mn></mrow></math></span>, which is very close to the best overall model by King at <span><math><mrow><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mn>0.973</mn></mrow></math></span> and <span><math><mrow><mi>M</mi><mi>A</mi><mi>E</mi><mo>=</mo><mn>1.663</mn></mrow></math></span>. Additionally, two new models for module temperature prediction were proposed. 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引用次数: 0
摘要
本研究对独立光伏组件的温度预测进行了详细分析和热建模。这项研究旨在精确估算模块温度,因为它是计算功率输出的一个重要参数。因此,需要通过实验收集数据。考虑到所有热传导机制,并经过模型验证后,采用了一种建议的算法来研究从组件到其周围的热传导,并预测不同层的温度。结果表明,所采用的热模型实现了精确的能量分布和温度预测,接收到的能量中只有约一部分转化为电能,其余部分则释放出热量。此外,与文献模型相比,所提出的仿真算法提供了最好的结果之一,达到了 和 ,与 King 的最佳整体模型非常接近。此外,还提出了两个新的模块温度预测模型。在对新数据进行测试后,显式模型提供了合理的第一近似值,达到了调整后的 和 ,而精确的隐式模型仅达到了 。
Experimentally validated thermal modeling for temperature prediction of photovoltaic modules under variable environmental conditions
In this work, a detailed analysis and thermal modeling for temperature prediction of a stand-alone photovoltaic module is performed. The study aims to present precise estimation of module temperature, since it is an important parameter for power output calculation. Hence, the required data were collected via experiments. Accounting for all heat transfer mechanisms, and following model validation, a proposed algorithm was implemented to investigate heat transfer from the module to its surrounding and predict different layers’ temperature. Results indicate that accurate energy distribution and temperature prediction was achieved by the adopted thermal model, only about of the received energy is converted to electrical power while the rest is released by heat. Moreover, the proposed simulation algorithm provided one of the best results in comparison to literature models, achieving an of and a of , which is very close to the best overall model by King at and . Additionally, two new models for module temperature prediction were proposed. After testing on new data, the explicit model provided a reasonable first approximation attaining an adjusted of and a of , and an accurate implicit model, achieving a of only .
期刊介绍:
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