Hohyeon Han, Junhyun Park, Seunghwan Kim, Sanghoon Lee, Myeong-in Choi, Sehyun Park
{"title":"Carbon Reduction Method for Intelligent Energy Transformation Based on Energy Data Analysis","authors":"Hohyeon Han, Junhyun Park, Seunghwan Kim, Sanghoon Lee, Myeong-in Choi, Sehyun Park","doi":"10.1109/SCEMS56272.2022.9990807","DOIUrl":null,"url":null,"abstract":"In this study, the necessity and policy direction for intelligent energy conversion based on energy data analysis for the realization of carbon neutrality were presented. In order to realize carbon neutrality, it is necessary to reduce greenhouse gas emissions through data-based energy demand/supply control and optimal energy management such as intelligent VPP. In order to realize energy independence in a smart energy city through optimal energy management technology in energy optimal operation such as data-based energy demand/supply control and intelligent VPP, greenhouse gas emission by increasing the power self-reliance rate based on new and renewable energy supply convergence technology There is a need for a way to reduce We should make efforts to reduce greenhouse gas emissions in cities by improving energy efficiency so that we can actively utilize the above-mentioned renewable energy and energy such as hydrogen. In this regard, this paper wrote a carbon emission reduction plan based on energy data through a carbon reduction monitoring system for intelligent energy conversion and a virtual power generation monitoring technology from a city-level perspective.","PeriodicalId":148762,"journal":{"name":"2022 IEEE 5th Student Conference on Electric Machines and Systems (SCEMS)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 5th Student Conference on Electric Machines and Systems (SCEMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCEMS56272.2022.9990807","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
In this study, the necessity and policy direction for intelligent energy conversion based on energy data analysis for the realization of carbon neutrality were presented. In order to realize carbon neutrality, it is necessary to reduce greenhouse gas emissions through data-based energy demand/supply control and optimal energy management such as intelligent VPP. In order to realize energy independence in a smart energy city through optimal energy management technology in energy optimal operation such as data-based energy demand/supply control and intelligent VPP, greenhouse gas emission by increasing the power self-reliance rate based on new and renewable energy supply convergence technology There is a need for a way to reduce We should make efforts to reduce greenhouse gas emissions in cities by improving energy efficiency so that we can actively utilize the above-mentioned renewable energy and energy such as hydrogen. In this regard, this paper wrote a carbon emission reduction plan based on energy data through a carbon reduction monitoring system for intelligent energy conversion and a virtual power generation monitoring technology from a city-level perspective.