Daniellica Marie B. Arcilla
1 Publications
Scopus ID: 105037620235
2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), (2026), pp. 1-6
Conference Paper | Published: February 7, 2026
Abstract
Renewable energy systems play a vital role in achieving global decarbonization goals but face growing exposure to climate-induced hazards such as heatwaves, typhoons, floods, and wildfires. These extreme events pose a threat to long-term energy security by compromising performance, damaging infrastructure, and increasing outage. This review assesses the resilience of renewable energy infrastructure by employing data-driven siting strategies, sophisticated control, and adaptive design. It emphasizes the importance of grid-forming inverters, fault-tolerant turbine control, and battery storage management in ensuring operational stability during periods of duress. Additionally, it investigates practitioner-oriented tools, such as parametric bill of materials (BOM) templates, one-page design protocols, hazard-measure-cost-benefit tables, and value-of-resilience (VoR) calculators, that simplify decision-making and quantify resilience benefits. The integration of these methods promotes cost efficiency and engineering robustness. Empirical performance validation under actual hazard conditions and standardized resilience metrics for low-inertia systems are the remaining research gaps. In conclusion, the integration of resilience principles into the design and governance of renewable energy systems guarantees the development of climate-ready, equitable, and dependable infrastructures that serve as the foundation for a sustainable low-carbon future.