Advanced country-scale optimal site selection for solar facility development towards energy independence: A case study of Cuba

• Cuba solar assessment identifies 14.39 GW viable capacity, 10x peak demand. • Robust economics confirmed: 16.4 % mean IRR and a low LCOE of 34.8 USD/MWh. • Capacity factor, CAPEX, and electricity price are the three critical risk factors. • Significant east–west disparity found; eastern provinces hold 47.5 % of potential. • Optimized 25-year plan enables 75 % displacement of fossil fuel generation. Island nations face significant challenges in terms of energy security and sustainability, with limited space for infrastructure development and high dependence on imported fuels, making strategic renewable energy planning critical. This study aims to develop a comprehensive framework for optimal solar photovoltaic deployment in Cuba that balances technical feasibility, economic viability, and geographic equity across a 25-year planning horizon. A novel multistaged multicriteria optimization framework was developed that integrates geospatial analysis with economic, technical, social, and policy considerations. Composite feasibility scoring combines distance metrics, economic indicators, and technical parameters to evaluate sites. Phased deployment optimization via the electrical storm optimization algorithm determines the optimal 25-year implementation sequence for 14.39 GW of capacity across all provinces. The analysis reveals significant east‒west disparities in site quality, with eastern provinces offering superior opportunities due to better land availability and solar resources. Monte Carlo simulation (n = 1,000) demonstrated robust economic viability, with a mean NPV of 15,420 MUSD, 16.4 % IRR, and 34.8 USD/MWh LCOE. However, the cost could be 10–15 % greater if grid reinforcement is considered. Sensitivity analysis identifies the capacity factor, capital costs, and electricity pricing as critical risk factors. The optimized deployment strategy prioritizes high-feasibility areas in early phases while implementing variable annual capacity additions, with peaks approaching 1,000 MW during key periods. This holistic approach provides a replicable methodology for island nations seeking strategic renewable energy planning under resource constraints, effectively aligning spatial opportunities with temporal implementation pathways to maximize economic and environmental benefits while ensuring regional balance.

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Publication Details

Journal
Energy Conversion and Management X
Published
2025-10-01
DOI
https://doi.org/10.1016/j.ecmx.2025.101385
Primary Topic
Integrated Energy Systems Optimization
Type
article
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article

Advanced country-scale optimal site selection for solar facility development towards energy independence: A case study of Cuba

Han Soo Lee, Manuel Soto Calvo
Energy Conversion and Management X
Integrated Energy Systems Optimization
article

Advanced country-scale optimal site selection for solar facility development towards energy independence: A case study of Cuba

Han Soo Lee, Manuel Soto Calvo
article en

Abstract

• Cuba solar assessment identifies 14.39 GW viable capacity, 10x peak demand. • Robust economics confirmed: 16.4 % mean IRR and a low LCOE of 34.8 USD/MWh. • Capacity factor, CAPEX, and electricity price are the three critical risk factors. • Significant east–west disparity found; eastern provinces hold 47.5 % of potential. • Optimized 25-year plan enables 75 % displacement of fossil fuel generation. Island nations face significant challenges in terms of energy security and sustainability, with limited space for infrastructure development and high dependence on imported fuels, making strategic renewable energy planning critical. This study aims to develop a comprehensive framework for optimal solar photovoltaic deployment in Cuba that balances technical feasibility, economic viability, and geographic equity across a 25-year planning horizon. A novel multistaged multicriteria optimization framework was developed that integrates geospatial analysis with economic, technical, social, and policy considerations. Composite feasibility scoring combines distance metrics, economic indicators, and technical parameters to evaluate sites. Phased deployment optimization via the electrical storm optimization algorithm determines the optimal 25-year implementation sequence for 14.39 GW of capacity across all provinces. The analysis reveals significant east‒west disparities in site quality, with eastern provinces offering superior opportunities due to better land availability and solar resources. Monte Carlo simulation (n = 1,000) demonstrated robust economic viability, with a mean NPV of 15,420 MUSD, 16.4 % IRR, and 34.8 USD/MWh LCOE. However, the cost could be 10–15 % greater if grid reinforcement is considered. Sensitivity analysis identifies the capacity factor, capital costs, and electricity pricing as critical risk factors. The optimized deployment strategy prioritizes high-feasibility areas in early phases while implementing variable annual capacity additions, with peaks approaching 1,000 MW during key periods. This holistic approach provides a replicable methodology for island nations seeking strategic renewable energy planning under resource constraints, effectively aligning spatial opportunities with temporal implementation pathways to maximize economic and environmental benefits while ensuring regional balance.

Energy Conversion and Management XVol. 28
Hiroshima University (JP), Smart Material (Germany) (DE)
Openalex Percentile: Top 66%
Integrated Energy Systems Optimization
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