{"title":"A Novel Method to Identify the Best Conventional Power Generation Technology in Saudi Arabia","authors":"Ibrahim Alkadi, A. A. Hamad, Faisal Aloufi","doi":"10.1109/energycon53164.2022.9830403","DOIUrl":null,"url":null,"abstract":"This paper presents the developed methodology to determine the most optimal solution to generate electricity in Saudi Arabia by conventional power generators. The analysis will consider all parameters and factors in the country that influence the decision-making process such as efficiency, cost, water utilization, greenhouse gas (GHG) emissions, and land use. The methodology utilizes the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), which is one of the Multicriteria Decision Analysis (MCDA) methods. This approach can support and assist power generation planning firms to adopt the most accurate generation system anywhere in the world. In this paper, the methodology is applied to Saudi Arabia, as the country has ambitious targets of relying more on environmentally friendly generation; such as renewables, natural gas turbines and nuclear power plants.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 7th International Energy Conference (ENERGYCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/energycon53164.2022.9830403","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
This paper presents the developed methodology to determine the most optimal solution to generate electricity in Saudi Arabia by conventional power generators. The analysis will consider all parameters and factors in the country that influence the decision-making process such as efficiency, cost, water utilization, greenhouse gas (GHG) emissions, and land use. The methodology utilizes the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), which is one of the Multicriteria Decision Analysis (MCDA) methods. This approach can support and assist power generation planning firms to adopt the most accurate generation system anywhere in the world. In this paper, the methodology is applied to Saudi Arabia, as the country has ambitious targets of relying more on environmentally friendly generation; such as renewables, natural gas turbines and nuclear power plants.
本文提出了发展的方法,以确定最优解决方案,以发电在沙特阿拉伯的传统发电机。该分析将考虑该国影响决策过程的所有参数和因素,如效率、成本、水利用、温室气体排放和土地利用。该方法采用了多准则决策分析(MCDA)方法之一的TOPSIS (Order of Preference by Similarity to Ideal Solution)。这种方法可以支持和协助发电规划公司在世界任何地方采用最精确的发电系统。在本文中,该方法适用于沙特阿拉伯,因为该国有更多地依赖于环保发电的雄心勃勃的目标;比如可再生能源、天然气涡轮机和核电站。