Estimation of methane emissions from reservoirs for hydroelectric generation in Costa Rica

IF 0.2 Q4 ENGINEERING, MULTIDISCIPLINARY
Rhonmer Orlando Pérez-Cedeño, Rodrigo Ramírez-Pisco, C. Vásquez-Stanescu, Leonardo Suárez-Matarrita, Mercedes Gaitán-Ángulo, M. Gómez-Caicedo
{"title":"Estimation of methane emissions from reservoirs for hydroelectric generation in Costa Rica","authors":"Rhonmer Orlando Pérez-Cedeño, Rodrigo Ramírez-Pisco, C. Vásquez-Stanescu, Leonardo Suárez-Matarrita, Mercedes Gaitán-Ángulo, M. Gómez-Caicedo","doi":"10.17533/udea.redin.20230522","DOIUrl":null,"url":null,"abstract":"Greenhouse gas emissions are related to non-renewable sources. For this reason, the methodological guide for the estimation of methane and carbon dioxide emissions in flooded lands was published in 2006 by the Intergovernmental Panel on Climate Change. Since 2016, several studies have been carried out in temperate and tropical zones reservoirs. Costa Rica is a Central American country known for its large hydroelectric resources and its highly renewable electricity generation matrix. This work represents the first study for 11 of 24 hydroelectric plants managed by the Costa Rican Electricity Institute. Methane emissions, energy density and emission factors for electricity generation are determined. Furthermore, a static mathematical model is used to determine these factors with little input data. It is estimated that the greatest contribution to methane emissions corresponds to the Arenal reservoir, which has the largest surface area and the lowest energy density.","PeriodicalId":42846,"journal":{"name":"Revista Facultad de Ingenieria, Universidad Pedagogica y Tecnologica de Colombia","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Facultad de Ingenieria, Universidad Pedagogica y Tecnologica de Colombia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17533/udea.redin.20230522","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Greenhouse gas emissions are related to non-renewable sources. For this reason, the methodological guide for the estimation of methane and carbon dioxide emissions in flooded lands was published in 2006 by the Intergovernmental Panel on Climate Change. Since 2016, several studies have been carried out in temperate and tropical zones reservoirs. Costa Rica is a Central American country known for its large hydroelectric resources and its highly renewable electricity generation matrix. This work represents the first study for 11 of 24 hydroelectric plants managed by the Costa Rican Electricity Institute. Methane emissions, energy density and emission factors for electricity generation are determined. Furthermore, a static mathematical model is used to determine these factors with little input data. It is estimated that the greatest contribution to methane emissions corresponds to the Arenal reservoir, which has the largest surface area and the lowest energy density.
估算哥斯达黎加水力发电水库的甲烷排放量
温室气体排放与不可再生能源有关。出于这个原因,政府间气候变化专门委员会于2006年发布了估算洪水淹没地区甲烷和二氧化碳排放量的方法指南。自2016年以来,在温带和热带地区的水库进行了多项研究。哥斯达黎加是一个中美洲国家,以其丰富的水力发电资源和高度可再生的发电矩阵而闻名。这项工作是对哥斯达黎加电力研究所管理的24座水力发电厂中的11座进行的首次研究。确定了甲烷排放量、能量密度和发电排放因子。此外,使用静态数学模型在少量输入数据的情况下确定这些因素。估计甲烷排放贡献最大的是阿雷纳尔水库,其表面积最大,能量密度最低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
审稿时长
8 weeks
文献相关原料
公司名称 产品信息 采购帮参考价格
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信