{"title":"能源建模和评级-(个人概述)","authors":"S. Ransome","doi":"10.1109/PVSC.2014.6925329","DOIUrl":null,"url":null,"abstract":"There are two main requirements for PV model accuracy - 1) Power Modelling : “Measured vs. predicted PMAX W” at each measurement (under variable weather conditions). 2) Energy Rating : “Measured vs. predicted energy yield (kWh/kWp)” summed over a time period such as 1 year. The relative spread in measured energy yield (kWh/kWp) from systems of different technologies has been reducing over the years to less than f a few % as power tolerances have decreased (from more accurate measurements by the manufacturers) and lower marketing tolerances including allowances for degradation [1][2]. PV technologies are also now optimised with better low light performance [3]. Predicted energy yields from PV simulation programs have been found to be very dependent on the default loss assumptions and user estimates for module mismatch, soiling, measured/nominal Pmax etc. [4]","PeriodicalId":6649,"journal":{"name":"2014 IEEE 40th Photovoltaic Specialist Conference (PVSC)","volume":"48 1","pages":"2047-2052"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Energy modelling and rating - (a personal overview)\",\"authors\":\"S. Ransome\",\"doi\":\"10.1109/PVSC.2014.6925329\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There are two main requirements for PV model accuracy - 1) Power Modelling : “Measured vs. predicted PMAX W” at each measurement (under variable weather conditions). 2) Energy Rating : “Measured vs. predicted energy yield (kWh/kWp)” summed over a time period such as 1 year. The relative spread in measured energy yield (kWh/kWp) from systems of different technologies has been reducing over the years to less than f a few % as power tolerances have decreased (from more accurate measurements by the manufacturers) and lower marketing tolerances including allowances for degradation [1][2]. PV technologies are also now optimised with better low light performance [3]. Predicted energy yields from PV simulation programs have been found to be very dependent on the default loss assumptions and user estimates for module mismatch, soiling, measured/nominal Pmax etc. [4]\",\"PeriodicalId\":6649,\"journal\":{\"name\":\"2014 IEEE 40th Photovoltaic Specialist Conference (PVSC)\",\"volume\":\"48 1\",\"pages\":\"2047-2052\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 40th Photovoltaic Specialist Conference (PVSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PVSC.2014.6925329\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 40th Photovoltaic Specialist Conference (PVSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PVSC.2014.6925329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy modelling and rating - (a personal overview)
There are two main requirements for PV model accuracy - 1) Power Modelling : “Measured vs. predicted PMAX W” at each measurement (under variable weather conditions). 2) Energy Rating : “Measured vs. predicted energy yield (kWh/kWp)” summed over a time period such as 1 year. The relative spread in measured energy yield (kWh/kWp) from systems of different technologies has been reducing over the years to less than f a few % as power tolerances have decreased (from more accurate measurements by the manufacturers) and lower marketing tolerances including allowances for degradation [1][2]. PV technologies are also now optimised with better low light performance [3]. Predicted energy yields from PV simulation programs have been found to be very dependent on the default loss assumptions and user estimates for module mismatch, soiling, measured/nominal Pmax etc. [4]