{"title":"光伏太阳能发电厂的年度相对性能下降","authors":"Alberto Boretti , Stefania Castelletto","doi":"10.1016/j.seja.2024.100074","DOIUrl":null,"url":null,"abstract":"<div><div>This study aims to assess annual relative performance degradation σ to be used in the computations of the Levelised Cost of Energy (LCOE) of new plants based on the standard year for weather and solar resource. The assessment is based on the experimental data of power generation, weather, and resource for different years, and simulations of power generation by using the National Renewable Energy Laboratory (NREL) System Advisor Model (SAM) software. The raw data of power generation for 53 different plants spanning about one decade show a σ assessed at <0.29 %. This makes it reasonable to assume in SAM σ = 0 % to σ = 0.29 %. This is less than the default σ = 0.5 % currently used in SAM based on limited outdated data. The updated performance degradation factor diminished to σ = 0–0.29 % reduces the computed LCOE for typical new projects in the United States from 2.86 to 2.74–2.80 ¢/kWh. Correction of the σ trends for interannual variability of weather and resource is unnecessary, providing enough years of operation are covered, given the inaccuracies in the model and the supporting data, the mitigation by management of the performance changes, and the complex phenomena correlated to the change of weather and irradiance affecting the power output in different directions. The reduced σ is the result of a significant product improvement over the last decades, especially for large power plants, compared to the plant which provided data for the prior correlation of performance degradation, and much better management and maintenance of the plants.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"4 ","pages":"Article 100074"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Annual relative performance degradation in photovoltaic solar plants\",\"authors\":\"Alberto Boretti , Stefania Castelletto\",\"doi\":\"10.1016/j.seja.2024.100074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study aims to assess annual relative performance degradation σ to be used in the computations of the Levelised Cost of Energy (LCOE) of new plants based on the standard year for weather and solar resource. The assessment is based on the experimental data of power generation, weather, and resource for different years, and simulations of power generation by using the National Renewable Energy Laboratory (NREL) System Advisor Model (SAM) software. The raw data of power generation for 53 different plants spanning about one decade show a σ assessed at <0.29 %. This makes it reasonable to assume in SAM σ = 0 % to σ = 0.29 %. This is less than the default σ = 0.5 % currently used in SAM based on limited outdated data. The updated performance degradation factor diminished to σ = 0–0.29 % reduces the computed LCOE for typical new projects in the United States from 2.86 to 2.74–2.80 ¢/kWh. Correction of the σ trends for interannual variability of weather and resource is unnecessary, providing enough years of operation are covered, given the inaccuracies in the model and the supporting data, the mitigation by management of the performance changes, and the complex phenomena correlated to the change of weather and irradiance affecting the power output in different directions. The reduced σ is the result of a significant product improvement over the last decades, especially for large power plants, compared to the plant which provided data for the prior correlation of performance degradation, and much better management and maintenance of the plants.</div></div>\",\"PeriodicalId\":101174,\"journal\":{\"name\":\"Solar Energy Advances\",\"volume\":\"4 \",\"pages\":\"Article 100074\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Solar Energy Advances\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S266711312400024X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Solar Energy Advances","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S266711312400024X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Annual relative performance degradation in photovoltaic solar plants
This study aims to assess annual relative performance degradation σ to be used in the computations of the Levelised Cost of Energy (LCOE) of new plants based on the standard year for weather and solar resource. The assessment is based on the experimental data of power generation, weather, and resource for different years, and simulations of power generation by using the National Renewable Energy Laboratory (NREL) System Advisor Model (SAM) software. The raw data of power generation for 53 different plants spanning about one decade show a σ assessed at <0.29 %. This makes it reasonable to assume in SAM σ = 0 % to σ = 0.29 %. This is less than the default σ = 0.5 % currently used in SAM based on limited outdated data. The updated performance degradation factor diminished to σ = 0–0.29 % reduces the computed LCOE for typical new projects in the United States from 2.86 to 2.74–2.80 ¢/kWh. Correction of the σ trends for interannual variability of weather and resource is unnecessary, providing enough years of operation are covered, given the inaccuracies in the model and the supporting data, the mitigation by management of the performance changes, and the complex phenomena correlated to the change of weather and irradiance affecting the power output in different directions. The reduced σ is the result of a significant product improvement over the last decades, especially for large power plants, compared to the plant which provided data for the prior correlation of performance degradation, and much better management and maintenance of the plants.