An analysis of challenges to the low-carbon energy transition toward sustainable energy development using an IFCM-TOPSIS approach: A case study

托普西斯 能量(信号处理) 可持续发展 能量转换 低能 计算机科学 心理学 工程类 政治学 运筹学 数学 统计 医学 物理 替代医学 病理 原子物理学 法学 灵丹妙药
作者
Mahyar Kamali Saraji,Dalia Štreimikienė
出处
期刊:Journal of Innovation & Knowledge [Elsevier]
卷期号:9 (2): 100496-100496 被引量:6
标识
DOI:10.1016/j.jik.2024.100496
摘要

As countries worldwide grapple with the urgent need to mitigate climate change, adopting low-carbon energy sources has become a top global priority. This priority is particularly emphasized in the European Union (EU), with various initiatives, policies, and regulations to promote renewable energy sources and reduce carbon emissions. Despite these efforts, the transition to a low-carbon energy future has faced several challenges, such as the high cost of renewable energy technologies, land use, and technical issues. These challenges require decision-makers to consider and address various factors to ensure sustainable and low-carbon energy development. In this context, the present study identified challenges to the low-carbon energy transition through a literature review from 2013 to 2023. The study then set out a novel intuitionistic fuzzy cognitive map method to map the interactions of identified challenges and analyze the case study performance in dealing with the challenges under three scenarios: people first, technology first, and duet. Subsequently, the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) method was applied to find the best scenario according to performance analysis. The results indicated that the most significant challenge is investment, followed by short-termism, and reformation, out of seventeen identified challenges. Results also indicated that the duet scenario was the best, and broad conclusions and policy implementations were provided according to the obtained results.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Stefanie发布了新的文献求助10
刚刚
刚刚
kk发布了新的文献求助10
刚刚
1秒前
1秒前
elegancy发布了新的文献求助10
3秒前
Accepted发布了新的文献求助10
3秒前
小二郎应助小胡加油采纳,获得10
4秒前
小豆豆完成签到,获得积分10
4秒前
健忘碧灵发布了新的文献求助10
5秒前
天天快乐应助懒得可爱采纳,获得10
5秒前
6秒前
Nori完成签到 ,获得积分10
6秒前
8秒前
洋酱完成签到,获得积分10
8秒前
zzuwxj发布了新的文献求助30
9秒前
无心的砖头应助ll采纳,获得10
9秒前
兴建完成签到,获得积分10
10秒前
852应助摆烂的雨雨采纳,获得10
10秒前
11秒前
12秒前
聪慧黑米发布了新的文献求助10
12秒前
Jackson333完成签到,获得积分10
12秒前
13秒前
14秒前
ww发布了新的文献求助10
14秒前
bkagyin应助王小明采纳,获得10
15秒前
所所应助武雨寒采纳,获得10
15秒前
fjnm发布了新的文献求助10
16秒前
离个大谱发布了新的文献求助10
16秒前
万能图书馆应助peace采纳,获得10
17秒前
小蘑菇应助难过的苑博采纳,获得10
18秒前
读书人完成签到,获得积分10
18秒前
nnnnnnxh发布了新的文献求助10
18秒前
elegancy完成签到,获得积分10
18秒前
19秒前
动听糖豆完成签到,获得积分10
20秒前
科研通AI6.2应助华生采纳,获得10
20秒前
六芒星bling完成签到,获得积分10
20秒前
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Social Cognition: Understanding People and Events 800
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6026144
求助须知:如何正确求助?哪些是违规求助? 7667460
关于积分的说明 16181605
捐赠科研通 5174123
什么是DOI,文献DOI怎么找? 2768592
邀请新用户注册赠送积分活动 1751862
关于科研通互助平台的介绍 1637917