{"title":"Characterizing Air Quality Impacts Related to North Atlantic Offshore Emissions Sources","authors":"Kirk R. Baker*, R. Byron Rice and Neal Fann, ","doi":"10.1021/acsestair.5c00179","DOIUrl":null,"url":null,"abstract":"<p >Wind energy projects are being planned and constructed off the northern Atlantic coast to provide additional energy capacity to the eastern U.S. Emissions related to construction, operation, and routine maintenance of these offshore wind projects, and the chemical transformation of these emissions in the atmosphere can result in pollutants that have known negative human health effects. However, the increased electrical capacity provided by these offshore wind projects could result in some reduction in onshore electrical generating (EGU) facilities. Here, multiple air quality models (a reduced complexity tool and a more sophisticated photochemical grid model) were applied to predict annual average PM<sub>2.5</sub> and seasonal average maximum daily 8 h average O<sub>3</sub> impacts from offshore wind projects and resulting reductions in onshore EGUs. The reduced complexity tool reasonably replicated the magnitudes and spatial gradients of impacts predicted by the photochemical transport model. Air pollution impacts from the offshore wind energy projects tended to be highest nearest the projects. Air pollution impacts were much higher from the construction phase compared to postconstruction (operation and maintenance). Predicted reductions to onshore EGUs due to increased offshore energy capacity resulted in regional decreases in PM<sub>2.5</sub> and O<sub>3</sub> that outpaced increases related to offshore wind projects. This effect was more pronounced for population influenced PM<sub>2.5</sub> compared to that for O<sub>3</sub>. This is likely due to offshore wind energy capacity being highest in the winter, which results in more onshore EGU emissions reductions outside of the summer season when precursor emissions would be most impactful on O<sub>3</sub> production. Reductions in onshore EGU emissions were based on assumptions that the increased energy capacity would not simply meet increased demand over present-day levels or be balanced by non-fossil-fuel-based energy sources such as nuclear, solar, or onshore wind farms.</p>","PeriodicalId":100014,"journal":{"name":"ACS ES&T Air","volume":"2 7","pages":"1369–1378"},"PeriodicalIF":0.0000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS ES&T Air","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acsestair.5c00179","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
Wind energy projects are being planned and constructed off the northern Atlantic coast to provide additional energy capacity to the eastern U.S. Emissions related to construction, operation, and routine maintenance of these offshore wind projects, and the chemical transformation of these emissions in the atmosphere can result in pollutants that have known negative human health effects. However, the increased electrical capacity provided by these offshore wind projects could result in some reduction in onshore electrical generating (EGU) facilities. Here, multiple air quality models (a reduced complexity tool and a more sophisticated photochemical grid model) were applied to predict annual average PM2.5 and seasonal average maximum daily 8 h average O3 impacts from offshore wind projects and resulting reductions in onshore EGUs. The reduced complexity tool reasonably replicated the magnitudes and spatial gradients of impacts predicted by the photochemical transport model. Air pollution impacts from the offshore wind energy projects tended to be highest nearest the projects. Air pollution impacts were much higher from the construction phase compared to postconstruction (operation and maintenance). Predicted reductions to onshore EGUs due to increased offshore energy capacity resulted in regional decreases in PM2.5 and O3 that outpaced increases related to offshore wind projects. This effect was more pronounced for population influenced PM2.5 compared to that for O3. This is likely due to offshore wind energy capacity being highest in the winter, which results in more onshore EGU emissions reductions outside of the summer season when precursor emissions would be most impactful on O3 production. Reductions in onshore EGU emissions were based on assumptions that the increased energy capacity would not simply meet increased demand over present-day levels or be balanced by non-fossil-fuel-based energy sources such as nuclear, solar, or onshore wind farms.