A review of modelling tools for net-zero emission energy systems, based on model capabilities, modelling criteria and model availability

IF 4.2 Q2 ENERGY & FUELS Renewable Energy Focus Pub Date : 2024-11-29 DOI:10.1016/j.ref.2024.100659
Suleshini L. Samarasinghe , Mojtaba Moghimi , Prasad Kaparaju
{"title":"A review of modelling tools for net-zero emission energy systems, based on model capabilities, modelling criteria and model availability","authors":"Suleshini L. Samarasinghe ,&nbsp;Mojtaba Moghimi ,&nbsp;Prasad Kaparaju","doi":"10.1016/j.ref.2024.100659","DOIUrl":null,"url":null,"abstract":"<div><div>Transformation of the energy sector to a safer, cleaner, and more economical business is increasingly becoming important, in an era in which many countries have pledged to meet net-zero emissions energy. The best possible strategy for this transformation of production, transportation and consumption of energy can be found by modelling the energy system using capable modelling tools and envisioning future needs ahead of time. There is great interest, but lack of information about these tools and trends in the literature. To fill this gap, the paper systematically overviews modelling capabilities, technical criteria and the usability of thirty energy modelling tools that are currently available. Results show that, selected tools cover satisfactory ranges of modelling resolution in time and space. Nevertheless, no single tool covers all, short-term, medium-term and long-term planning horizons over a local geographical area to global level. Moreover, state-of-the-art energy system modelling and insights on future energy modelling needs are also elaborated on in the paper. The challenges of cross-sector and cross-border modelling, uncertainty modelling and forward market modelling and plausible solutions for them are discussed. The paper can be used in aid of selecting a suitable tool for a specific energy modelling purpose and attaining insights on future modelling needs that are required to obtain carbon neutrality by 2050.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"53 ","pages":"Article 100659"},"PeriodicalIF":4.2000,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Renewable Energy Focus","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1755008424001236","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

Transformation of the energy sector to a safer, cleaner, and more economical business is increasingly becoming important, in an era in which many countries have pledged to meet net-zero emissions energy. The best possible strategy for this transformation of production, transportation and consumption of energy can be found by modelling the energy system using capable modelling tools and envisioning future needs ahead of time. There is great interest, but lack of information about these tools and trends in the literature. To fill this gap, the paper systematically overviews modelling capabilities, technical criteria and the usability of thirty energy modelling tools that are currently available. Results show that, selected tools cover satisfactory ranges of modelling resolution in time and space. Nevertheless, no single tool covers all, short-term, medium-term and long-term planning horizons over a local geographical area to global level. Moreover, state-of-the-art energy system modelling and insights on future energy modelling needs are also elaborated on in the paper. The challenges of cross-sector and cross-border modelling, uncertainty modelling and forward market modelling and plausible solutions for them are discussed. The paper can be used in aid of selecting a suitable tool for a specific energy modelling purpose and attaining insights on future modelling needs that are required to obtain carbon neutrality by 2050.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Renewable Energy Focus
Renewable Energy Focus Renewable Energy, Sustainability and the Environment
CiteScore
7.10
自引率
8.30%
发文量
0
审稿时长
48 days
期刊最新文献
Fast islanding detection using intra harmonic analysis and support vector machine based root cause identification in grid connected DC microgrid Editorial Board Community Responses to Changes in Perceptions and Annoyance with Noise and Shadow Flickering: A Longitudinal Study Potential benefit and challenge analysis of photovoltaic-integrated electric vehicles applied in merchandise delivery services: a case study Assessment of Time-Based Demand Response Programs for Electric Vehicle Charging Facilities
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1