确定突尼斯可持续可再生能源系统的优先次序:使用混合多标准决策分析的综合方法

Sassi Rekik, Souheil El Alimi
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摘要

近年来,可再生能源技术(RETs)在全世界越来越受欢迎,以实现能源充足,减少对传统燃料的依赖,并减轻其对环境的破坏性影响。然而,在突尼斯等新兴经济体,由于各种障碍阻碍了这些技术的实施,更多的情况似乎没有改变。因此,本文的首要目标是对四种主要的可再生能源发电方案进行深思熟虑的评估,并探讨阻碍其在突尼斯发展的最潜在障碍。为此,本文采用了两个阶段的方法。首先,采用 "标准间相关性重要度"(CRITIC)和 "基于平均解决方案距离的评估"(EDAS)来评估所考虑的替代方案,即太阳能光伏发电、聚光太阳能发电(CSP)、陆上风能和生物质能。然后,开发了一种综合的分步评估比率分析和决策试验与评估实验室方法(SWARA-DEMATEL),以确定最相关的障碍。相关标准和障碍是根据详尽的文献综述和专家反馈意见确定的。结果表明,太阳能光伏发电和风能是最有前途的可再生技术,而生物质能则是最差的选择。为了验证结果并证明改变输入数据对最终结果的影响,进行了敏感性分析。至于主要障碍,政治不稳定、高昂的前期成本和市场准入机制是影响最大的障碍。因此,对不同的可再生能源技术进行优先排序并分析其利用的内在障碍,将为政策制定者提供有见地的指导,使他们能够制定有效的战略来克服这些障碍,并加快这些技术在该国的部署。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prioritizing sustainable renewable energy systems in Tunisia: An integrated approach using hybrid multi-criteria decision analysis
In recent years, renewable energy technologies (RETs) have become increasingly popular worldwide to achieve energy sufficiency, reduce reliance on conventional fuels, and mitigate their devastating environmental impact. Nonetheless, more appears to have stayed the same in emerging economies, such as Tunisia, as various barriers hampered the implementation of these technologies. Hence, the prime objective of this article is to conduct a thoughtful assessment of four prominent renewable energy options for electricity generation and explore the most potential barriers hindering their development in Tunisia. To do so, a two-stage approach was applied. First, CRiteria Importance Through Inter-Criteria Correlation (CRITIC) and Evaluation based on Distance from Average Solution (EDAS) were used to evaluate the considered alternatives, namely solar PV, concentrated solar power (CSP), onshore wind, and biomass. Then, an integrated step-wise assessment ratio analysis and decision-making trial and evaluation laboratory approach (SWARA-DEMATEL) was developed to identify the most relevant barriers. The related criteria and barriers were determined based on an exhaustive literature review and experts’ feedback. The obtained results indicated that solar PV and wind were the most promising renewable technologies, while biomass was the worst option. To validate the outcome and demonstrate the effect of changing input data on the final results, a sensitivity analysis has been carried out. As for the key obstacles, political instability, high upfront costs, and market access mechanisms were the most influential barriers. Hence, prioritizing different RETs and analyzing the inherent barriers to their utilization would offer insightful guidance to policymakers, enabling them to establish efficient strategies for overcoming these obstacles, and accelerating the deployment of these technologies in the country.
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