{"title":"Digital Data Integration Project between a DSO and a University for Sustainability and Efficiency","authors":"Emin Kartci, Eda Emniyet Akkus, Semanur Sancar, T. Bugdayci, Mutlu Bektaş, Gokturk Poyrazoglu","doi":"10.1109/MELECON53508.2022.9842910","DOIUrl":null,"url":null,"abstract":"Digitization in the energy sector enables big data analysis that can lead to large-scale energy efficiency due to the size of the sector and thus getting closer to sustainability targets. With a digital data integration study between a distribution company and a university in Turkey for big data processing, the data collected by IoT devices from 6,000 active transformers providing service in 5 cities were transferred to different servers together with the developed communication protocols. As a result of the project, the transformer efficiency and sustainability measures were produced. In this study, the mutually established software infrastructure and the benefits of the project are explained.","PeriodicalId":303656,"journal":{"name":"2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MELECON53508.2022.9842910","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
Digitization in the energy sector enables big data analysis that can lead to large-scale energy efficiency due to the size of the sector and thus getting closer to sustainability targets. With a digital data integration study between a distribution company and a university in Turkey for big data processing, the data collected by IoT devices from 6,000 active transformers providing service in 5 cities were transferred to different servers together with the developed communication protocols. As a result of the project, the transformer efficiency and sustainability measures were produced. In this study, the mutually established software infrastructure and the benefits of the project are explained.