{"title":"Impact of the 2019-2020 Australian Black Summer Wildfires on Photovoltaic Energy Production","authors":"Ethan Ford, B. Hoex, I. M. Peters","doi":"10.1109/PVSC48317.2022.9938902","DOIUrl":null,"url":null,"abstract":"Air pollution produced by the Australian Black Summer wildfires caused extreme haze events across New South Wales (NSW). We analyzed 30-minute resolution energy data from 160 residential PV systems in NSW from 6 November 2019 to 15 January 2020. A percentile data analysis technique was adapted to derive a mean reduction rate for PV energy generation with PM2.5. The mean power reduction rate for PV systems was approximately $-12.5\\% \\pm 2.2\\%$ per $100\\ \\mu\\mathrm{g}/\\mathrm{m}^{3}$ of PM2.5 for airmass 1.0. The energy loss for residential PV systems was estimated as $39.8\\pm 7.9$ GWh, equating to a worst-case financial impact of $9.27 \\pm 1.85$ million AUD. This work aims to help inform PV system planning and energy storage options of new PV systems; and raise awareness of the impact of wildfires and air pollution on solar PV.","PeriodicalId":435386,"journal":{"name":"2022 IEEE 49th Photovoltaics Specialists Conference (PVSC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 49th Photovoltaics Specialists Conference (PVSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PVSC48317.2022.9938902","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Air pollution produced by the Australian Black Summer wildfires caused extreme haze events across New South Wales (NSW). We analyzed 30-minute resolution energy data from 160 residential PV systems in NSW from 6 November 2019 to 15 January 2020. A percentile data analysis technique was adapted to derive a mean reduction rate for PV energy generation with PM2.5. The mean power reduction rate for PV systems was approximately $-12.5\% \pm 2.2\%$ per $100\ \mu\mathrm{g}/\mathrm{m}^{3}$ of PM2.5 for airmass 1.0. The energy loss for residential PV systems was estimated as $39.8\pm 7.9$ GWh, equating to a worst-case financial impact of $9.27 \pm 1.85$ million AUD. This work aims to help inform PV system planning and energy storage options of new PV systems; and raise awareness of the impact of wildfires and air pollution on solar PV.