{"title":"伊朗框架限制下的最优电力供应系统,以满足其在巴黎气候协议下的排放承诺","authors":"A. Godarzi, A. Maleki","doi":"10.5278/IJSEPM.5896","DOIUrl":null,"url":null,"abstract":"As part of its Paris Agreement commitment, Iran pledged to decrease 4 percent of its carbon dioxide (CO2) emissions from 2020 to 2030. About 29% of total emission in Iran belongs to electricity supply while energy consumption in other sectors (transport, household, and industry) have a lower share in CO2 emission. The main concern here is finding the optimal mix of power plants in the electricity supply system that should be deployed to meet Iran’s mentioned respective targets. So, we developed a non-linear mathematical programming model for Iran’s electricity system to address this concern. Results show that a 10-20% diffusion of renewable energy and converting gas turbine power plants to gas combined cycle technology with 5% annual rate can satisfy Iran’s emissions pledge under the Paris Climate Accord. Finally, this model has been run for years between 2017-2030. Four scenarios have also been prepared based on different Iranian Five-Year Development Plans.","PeriodicalId":37803,"journal":{"name":"International Journal of Sustainable Energy Planning and Management","volume":"30 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimal electricity supply system under Iranian framework limitations to meet its emission pledge under the Paris climate agreement\",\"authors\":\"A. Godarzi, A. Maleki\",\"doi\":\"10.5278/IJSEPM.5896\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As part of its Paris Agreement commitment, Iran pledged to decrease 4 percent of its carbon dioxide (CO2) emissions from 2020 to 2030. About 29% of total emission in Iran belongs to electricity supply while energy consumption in other sectors (transport, household, and industry) have a lower share in CO2 emission. The main concern here is finding the optimal mix of power plants in the electricity supply system that should be deployed to meet Iran’s mentioned respective targets. So, we developed a non-linear mathematical programming model for Iran’s electricity system to address this concern. Results show that a 10-20% diffusion of renewable energy and converting gas turbine power plants to gas combined cycle technology with 5% annual rate can satisfy Iran’s emissions pledge under the Paris Climate Accord. Finally, this model has been run for years between 2017-2030. Four scenarios have also been prepared based on different Iranian Five-Year Development Plans.\",\"PeriodicalId\":37803,\"journal\":{\"name\":\"International Journal of Sustainable Energy Planning and Management\",\"volume\":\"30 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-02-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Sustainable Energy Planning and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5278/IJSEPM.5896\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Sustainable Energy Planning and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5278/IJSEPM.5896","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
Optimal electricity supply system under Iranian framework limitations to meet its emission pledge under the Paris climate agreement
As part of its Paris Agreement commitment, Iran pledged to decrease 4 percent of its carbon dioxide (CO2) emissions from 2020 to 2030. About 29% of total emission in Iran belongs to electricity supply while energy consumption in other sectors (transport, household, and industry) have a lower share in CO2 emission. The main concern here is finding the optimal mix of power plants in the electricity supply system that should be deployed to meet Iran’s mentioned respective targets. So, we developed a non-linear mathematical programming model for Iran’s electricity system to address this concern. Results show that a 10-20% diffusion of renewable energy and converting gas turbine power plants to gas combined cycle technology with 5% annual rate can satisfy Iran’s emissions pledge under the Paris Climate Accord. Finally, this model has been run for years between 2017-2030. Four scenarios have also been prepared based on different Iranian Five-Year Development Plans.
期刊介绍:
The journal is an international interdisciplinary journal in Sustainable Energy Planning and Management combining engineering and social science within Energy System Analysis, Feasibility Studies and Public Regulation. The journal especially welcomes papers within the following three focus areas: Energy System analysis including theories, methodologies, data handling and software tools as well as specific models and analyses at local, regional, country and/or global level. Economics, Socio economics and Feasibility studies including theories and methodologies of institutional economics as well as specific feasibility studies and analyses. Public Regulation and management including theories and methodologies as well as specific analyses and proposals in the light of the implementation and transition into sustainable energy systems.