Method for predicting working temperature of meteorology-related photovoltaic module
The invention discloses a method for predicting the working temperature of a meteorology-related photovoltaic module. Based on factors such as ambient temperature, solar radiation intensity and wind speed, a linear model is fitted through a large amount of historical data and a nonlinear model is de...
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| creator | JIAN SHILUE CUI YANG LIANG YUN LI ZHE ZHOU NING CAI TAO WANG BIQIANG LI SHUAI CHENG CHI XU PEIHUA SUN QIAN |
| description | The invention discloses a method for predicting the working temperature of a meteorology-related photovoltaic module. Based on factors such as ambient temperature, solar radiation intensity and wind speed, a linear model is fitted through a large amount of historical data and a nonlinear model is deduced through the law of conservation of energy. Moreover, two experimental platforms are designed to collect data. The influencing factors of the working temperature of the photovoltaic module can be deeply revealed, and the influence of the meteorological factors on the working temperature of thephotovoltaic module can be fully reflected. Therefore, the forecast accuracy of the generating capacity of a photovoltaic power station can be improved.
本发明公开了种气象相关的光伏组件工作温度预测的方法，从环境温度、太阳辐射强度、风速等因素出发，通过大量历史数据拟合的线性模型以及通过能量守恒定律推倒出的非线性模型。并且设计了两种实验平台用于采集数据。本发明可深度揭示光伏组件工作温度的影响因素，充分反映气象因子对光伏组件工作温度的影响，有助于提高光伏电站发电预报的精确度。 |
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本发明公开了种气象相关的光伏组件工作温度预测的方法，从环境温度、太阳辐射强度、风速等因素出发，通过大量历史数据拟合的线性模型以及通过能量守恒定律推倒出的非线性模型。并且设计了两种实验平台用于采集数据。本发明可深度揭示光伏组件工作温度的影响因素，充分反映气象因子对光伏组件工作温度的影响，有助于提高光伏电站发电预报的精确度。</description><language>chi ; eng</language><subject>MEASURING ; MEASURING QUANTITY OF HEAT ; MEASURING TEMPERATURE ; METEOROLOGY ; PHYSICS ; TESTING ; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR</subject><creationdate>2018</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20180420&DB=EPODOC&CC=CN&NR=107941361A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20180420&DB=EPODOC&CC=CN&NR=107941361A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>JIAN SHILUE</creatorcontrib><creatorcontrib>CUI YANG</creatorcontrib><creatorcontrib>LIANG YUN</creatorcontrib><creatorcontrib>LI ZHE</creatorcontrib><creatorcontrib>ZHOU NING</creatorcontrib><creatorcontrib>CAI TAO</creatorcontrib><creatorcontrib>WANG BIQIANG</creatorcontrib><creatorcontrib>LI SHUAI</creatorcontrib><creatorcontrib>CHENG CHI</creatorcontrib><creatorcontrib>XU PEIHUA</creatorcontrib><creatorcontrib>SUN QIAN</creatorcontrib><title>Method for predicting working temperature of meteorology-related photovoltaic module</title><description>The invention discloses a method for predicting the working temperature of a meteorology-related photovoltaic module. Based on factors such as ambient temperature, solar radiation intensity and wind speed, a linear model is fitted through a large amount of historical data and a nonlinear model is deduced through the law of conservation of energy. Moreover, two experimental platforms are designed to collect data. The influencing factors of the working temperature of the photovoltaic module can be deeply revealed, and the influence of the meteorological factors on the working temperature of thephotovoltaic module can be fully reflected. Therefore, the forecast accuracy of the generating capacity of a photovoltaic power station can be improved.
本发明公开了种气象相关的光伏组件工作温度预测的方法，从环境温度、太阳辐射强度、风速等因素出发，通过大量历史数据拟合的线性模型以及通过能量守恒定律推倒出的非线性模型。并且设计了两种实验平台用于采集数据。本发明可深度揭示光伏组件工作温度的影响因素，充分反映气象因子对光伏组件工作温度的影响，有助于提高光伏电站发电预报的精确度。</description><subject>MEASURING</subject><subject>MEASURING QUANTITY OF HEAT</subject><subject>MEASURING TEMPERATURE</subject><subject>METEOROLOGY</subject><subject>PHYSICS</subject><subject>TESTING</subject><subject>THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2018</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyjEKwkAQBdA0FqLeYTxAwBBRUkpQbLRKH5bdn2RxN7NMJoq3F8EDWL3mLbPmBh3YUcdCSeC8VT_29GJ5fFXEBDE6C4g7ilCwcOD-nQuCUThKAys_OajxliK7OWCdLToTJmx-rrLt5dzU1xyJW0zJWIzQtr4Xu2O1L8pDcSr_OR8k-zn2</recordid><startdate>20180420</startdate><enddate>20180420</enddate><creator>JIAN SHILUE</creator><creator>CUI YANG</creator><creator>LIANG YUN</creator><creator>LI ZHE</creator><creator>ZHOU NING</creator><creator>CAI TAO</creator><creator>WANG BIQIANG</creator><creator>LI SHUAI</creator><creator>CHENG CHI</creator><creator>XU PEIHUA</creator><creator>SUN QIAN</creator><scope>EVB</scope></search><sort><creationdate>20180420</creationdate><title>Method for predicting working temperature of meteorology-related photovoltaic module</title><author>JIAN SHILUE ; CUI YANG ; LIANG YUN ; LI ZHE ; ZHOU NING ; CAI TAO ; WANG BIQIANG ; LI SHUAI ; CHENG CHI ; XU PEIHUA ; SUN QIAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN107941361A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2018</creationdate><topic>MEASURING</topic><topic>MEASURING QUANTITY OF HEAT</topic><topic>MEASURING TEMPERATURE</topic><topic>METEOROLOGY</topic><topic>PHYSICS</topic><topic>TESTING</topic><topic>THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>JIAN SHILUE</creatorcontrib><creatorcontrib>CUI YANG</creatorcontrib><creatorcontrib>LIANG YUN</creatorcontrib><creatorcontrib>LI ZHE</creatorcontrib><creatorcontrib>ZHOU NING</creatorcontrib><creatorcontrib>CAI TAO</creatorcontrib><creatorcontrib>WANG BIQIANG</creatorcontrib><creatorcontrib>LI SHUAI</creatorcontrib><creatorcontrib>CHENG CHI</creatorcontrib><creatorcontrib>XU PEIHUA</creatorcontrib><creatorcontrib>SUN QIAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>JIAN SHILUE</au><au>CUI YANG</au><au>LIANG YUN</au><au>LI ZHE</au><au>ZHOU NING</au><au>CAI TAO</au><au>WANG BIQIANG</au><au>LI SHUAI</au><au>CHENG CHI</au><au>XU PEIHUA</au><au>SUN QIAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method for predicting working temperature of meteorology-related photovoltaic module</title><date>2018-04-20</date><risdate>2018</risdate><abstract>The invention discloses a method for predicting the working temperature of a meteorology-related photovoltaic module. Based on factors such as ambient temperature, solar radiation intensity and wind speed, a linear model is fitted through a large amount of historical data and a nonlinear model is deduced through the law of conservation of energy. Moreover, two experimental platforms are designed to collect data. The influencing factors of the working temperature of the photovoltaic module can be deeply revealed, and the influence of the meteorological factors on the working temperature of thephotovoltaic module can be fully reflected. Therefore, the forecast accuracy of the generating capacity of a photovoltaic power station can be improved.
本发明公开了种气象相关的光伏组件工作温度预测的方法，从环境温度、太阳辐射强度、风速等因素出发，通过大量历史数据拟合的线性模型以及通过能量守恒定律推倒出的非线性模型。并且设计了两种实验平台用于采集数据。本发明可深度揭示光伏组件工作温度的影响因素，充分反映气象因子对光伏组件工作温度的影响，有助于提高光伏电站发电预报的精确度。</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | MEASURING MEASURING QUANTITY OF HEAT MEASURING TEMPERATURE METEOROLOGY PHYSICS TESTING THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR |
| title | Method for predicting working temperature of meteorology-related photovoltaic module |
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