Sizing for survival: Building resilient off-grid LVDC PV-storage systems against long-return-period climate events
The increasing severity of extreme weather events demands enhanced resilience in off-grid photovoltaic and energy storage systems. This study aims to integrate quantitative risk analysis into the system sizing process to quantify and mitigate the probability of operational failure under long-return-period weather extremes, under the hypothesis that risk-based sizing can improve reliability without disproportionate cost escalation. A surrogate model is constructed from real and synthetic performance data to efficiently explore the design space and identify a Pareto frontier of robust system configurations. A Monte Carlo simulation is then applied to a case-study building in Bilbao, evaluating 100 candidate configurations against 100 bootstrapped weather patterns, representing 120 years of historical and projected climate data. The results show that fewer than 25% of the investigated systems maintain continuous operation under the most extreme conditions considered. The most cost-effective configuration achieving 100% reliability for a 100-year return period event combines an 80% oversized photovoltaic array with a 20% undersized storage system. These findings provide actionable sizing guidelines for resilient off-grid DC systems and underscore the significant economic trade-offs associated with designing for full climatic reliability in future applications and standards development.
Authors
- Cristian Olivares-Rodríguez (ORCID: https://orcid.org/0000-0002-4991-5784)
- Cruz E. Borges (ORCID: https://orcid.org/0000-0002-4956-809X)
- Tony Castillo-Calzadilla (ORCID: https://orcid.org/0000-0002-2935-7762)
- Ana M. Macarulla (ORCID: https://orcid.org/0000-0001-8741-0990)
- E. Olías Ruiz (ORCID: https://orcid.org/0000-0002-2703-3924)
Institutions
- Universidad de Deusto (ES)
- Universidad de La Laguna (ES)
- Alberto Hurtado University (CL)
- Universidad Carlos III de Madrid (ES)
Publication Details
- Journal
- Sustainable Energy Technologies and Assessments
- Published
- 2026-06-27
- DOI
- https://doi.org/10.1016/j.seta.2026.105166
- Primary Topic
- Microgrid Control and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Universidad de La Laguna