Optimizing green hydrogen strategies in Tunisia: A combined SWOT-MCDM approach
Tunisia's rapid industrial expansion and population growth have created a pressing energy deficit, despite the country's significant, yet largely untapped, renewable energy potential. This study addressed this challenge by developing a comprehensive framework to identify and evaluate strat...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Scientific African |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468227624003806 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850100804350902272 |
|---|---|
| author | Sassi Rekik |
| author_facet | Sassi Rekik |
| author_sort | Sassi Rekik |
| collection | DOAJ |
| description | Tunisia's rapid industrial expansion and population growth have created a pressing energy deficit, despite the country's significant, yet largely untapped, renewable energy potential. This study addressed this challenge by developing a comprehensive framework to identify and evaluate strategies for promoting green hydrogen production from renewable energy sources in Tunisia. A Strength, Weakness, Opportunity, and Threat (SWOT) analysis, incorporating social, economic, and environmental dimensions, was conducted to formulate potential solutions. The Step-wise Weight Assessment Ratio Analysis (SWARA) method facilitated the weighting of SWOT factors and sub-factors. Subsequently, a multi-criteria decision-making approach, employing the gray technique for order preference by similarity to ideal solution (TOPSIS-G) method (validated by gray additive ratio assessment (ARAS-G), gray complex proportional assessment (COPRAS-G), and gray multi-objective optimization by ratio analysis (MOORA-G), was used to rank the identified strategies.The SWOT analysis revealed ''Strengths'' as the most influential factor with a relative weight of 47.3 %, followed by ''Weaknesses'' (26.5 %), ''Threats'' (15.6 %), and ''Opportunities'' (10.6 %). Specifically, experts emphasized Tunisia's renewable energy potential (21.89 %) and robust power system (12.11 %) as primary strengths. Conversely, high investment costs (11.2 %) and political instability (7.77 %) posed substantial threat. Positive socio-economic impacts represented a key opportunity with a score of 5.2 %. As for the strategies prioritizing criteria, production cost ranked first with a score of 13.5 %, followed by environmental impact (12.8 %), renewable energy potential (12.0 %), and mitigation costs (11.3 %). The gray TOPSIS analysis identified two key strategies: leveraging Tunisia's wind and solar resources and fostering regional cooperation for project implementation. The robustness of these strategies is confirmed by the strong correlation between TOPSIS-G, ARAS-G, COPRAS-G, and MOORA-G results. Overall, the study provides a comprehensive roadmap and expert-informed decision-support tools, offering valuable insights for policymakers, investors, and stakeholders in Tunisia and other emerging economies facing similar energy challenges. |
| format | Article |
| id | doaj-art-ff45c7ed87ab4f64ba4615e18a57e1cf |
| institution | DOAJ |
| issn | 2468-2276 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Scientific African |
| spelling | doaj-art-ff45c7ed87ab4f64ba4615e18a57e1cf2025-08-20T02:40:11ZengElsevierScientific African2468-22762024-12-0126e0243810.1016/j.sciaf.2024.e02438Optimizing green hydrogen strategies in Tunisia: A combined SWOT-MCDM approachSassi Rekik0University of Monastir, National Engineering School of Monastir, Laboratory of Thermal and Energy Systems Studies (LESTE), Monastir, TunisiaTunisia's rapid industrial expansion and population growth have created a pressing energy deficit, despite the country's significant, yet largely untapped, renewable energy potential. This study addressed this challenge by developing a comprehensive framework to identify and evaluate strategies for promoting green hydrogen production from renewable energy sources in Tunisia. A Strength, Weakness, Opportunity, and Threat (SWOT) analysis, incorporating social, economic, and environmental dimensions, was conducted to formulate potential solutions. The Step-wise Weight Assessment Ratio Analysis (SWARA) method facilitated the weighting of SWOT factors and sub-factors. Subsequently, a multi-criteria decision-making approach, employing the gray technique for order preference by similarity to ideal solution (TOPSIS-G) method (validated by gray additive ratio assessment (ARAS-G), gray complex proportional assessment (COPRAS-G), and gray multi-objective optimization by ratio analysis (MOORA-G), was used to rank the identified strategies.The SWOT analysis revealed ''Strengths'' as the most influential factor with a relative weight of 47.3 %, followed by ''Weaknesses'' (26.5 %), ''Threats'' (15.6 %), and ''Opportunities'' (10.6 %). Specifically, experts emphasized Tunisia's renewable energy potential (21.89 %) and robust power system (12.11 %) as primary strengths. Conversely, high investment costs (11.2 %) and political instability (7.77 %) posed substantial threat. Positive socio-economic impacts represented a key opportunity with a score of 5.2 %. As for the strategies prioritizing criteria, production cost ranked first with a score of 13.5 %, followed by environmental impact (12.8 %), renewable energy potential (12.0 %), and mitigation costs (11.3 %). The gray TOPSIS analysis identified two key strategies: leveraging Tunisia's wind and solar resources and fostering regional cooperation for project implementation. The robustness of these strategies is confirmed by the strong correlation between TOPSIS-G, ARAS-G, COPRAS-G, and MOORA-G results. Overall, the study provides a comprehensive roadmap and expert-informed decision-support tools, offering valuable insights for policymakers, investors, and stakeholders in Tunisia and other emerging economies facing similar energy challenges.http://www.sciencedirect.com/science/article/pii/S2468227624003806SWOT analysisMCDMGray number theoryGreen hydrogen strategiesTunisia |
| spellingShingle | Sassi Rekik Optimizing green hydrogen strategies in Tunisia: A combined SWOT-MCDM approach Scientific African SWOT analysis MCDM Gray number theory Green hydrogen strategies Tunisia |
| title | Optimizing green hydrogen strategies in Tunisia: A combined SWOT-MCDM approach |
| title_full | Optimizing green hydrogen strategies in Tunisia: A combined SWOT-MCDM approach |
| title_fullStr | Optimizing green hydrogen strategies in Tunisia: A combined SWOT-MCDM approach |
| title_full_unstemmed | Optimizing green hydrogen strategies in Tunisia: A combined SWOT-MCDM approach |
| title_short | Optimizing green hydrogen strategies in Tunisia: A combined SWOT-MCDM approach |
| title_sort | optimizing green hydrogen strategies in tunisia a combined swot mcdm approach |
| topic | SWOT analysis MCDM Gray number theory Green hydrogen strategies Tunisia |
| url | http://www.sciencedirect.com/science/article/pii/S2468227624003806 |
| work_keys_str_mv | AT sassirekik optimizinggreenhydrogenstrategiesintunisiaacombinedswotmcdmapproach |