{"title":"Single and Multi-sUAS Based Emission Quantification Performance Assessment Using MOABS/DT: A Simulation Case Study","authors":"Derek Hollenbeck, Demitrius Zulevicl, Yangquan Chen","doi":"10.1109/MESA55290.2022.10004398","DOIUrl":null,"url":null,"abstract":"Emission quantification from small uncrewed aircraft systems (sUAS) are of high interest due to their low cost and flexibility to measure site level emissions. However, understanding the emission performance of the current/future methodologies, typically, requires many field experiments in a variety of weather conditions, affecting the repeatability and making it costly to pursue. In this work, we utilize MOABS/DT to explore single and multi-sUAS emission quantification methods for estimating emissions in three source release scenarios and plume meandering conditions.","PeriodicalId":410029,"journal":{"name":"2022 18th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 18th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MESA55290.2022.10004398","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
Emission quantification from small uncrewed aircraft systems (sUAS) are of high interest due to their low cost and flexibility to measure site level emissions. However, understanding the emission performance of the current/future methodologies, typically, requires many field experiments in a variety of weather conditions, affecting the repeatability and making it costly to pursue. In this work, we utilize MOABS/DT to explore single and multi-sUAS emission quantification methods for estimating emissions in three source release scenarios and plume meandering conditions.