Guest Editor(s)
Dr. Samuel Chukwujindu Nwokolo
Email: nwokolosc@unical.edu.ng
Affiliation: Department of Physics, University of Calabar, Calabar, Nigeria
Homepage:
Research Interests: renewable energy technology, climate change, material science, green hydrogen energy
Dr. Paul C. Okonkwo
Email: pokonkwo@du.edu.om
Affiliation: Mechanical & Mechatronics Engineering Department, Dhofar University, Salalah, Oman
Homepage:
Research Interests: renewable energy, material science, green hydrogen energy
Summary
Climate change is increasing the exposure of renewable-energy assets to heatwaves, droughts, floods, cyclones, dust events, wildfire smoke, icing, and compound weather extremes. These hazards can reduce solar and wind yields, disrupt hydropower availability, damage transmission and storage assets, alter electricity demand, and intensify operational uncertainty. At the same time, artificial intelligence, physics-informed forecasting, digital twins, advanced sensing, and adaptive control are creating new opportunities to anticipate risks and improve renewable-energy reliability.
This Special Issue, "Climate-Resilient Renewable Energy Systems: Weather Extremes, Digital Intelligence, and Adaptation Pathways," will assemble rigorous engineering, modelling, and policy research on how renewable-energy systems can remain reliable, affordable, secure, and low carbon under changing climatic conditions. The issue welcomes studies spanning resource assessment, climate projection, system design, energy storage, smart grids, hydrogen integration, risk analytics, and adaptation governance.
Suggested themes include:
- climate impacts on solar, wind, hydropower, bioenergy, and hybrid systems;
- extreme-weather vulnerability and resilience assessment;
- climate-informed renewable forecasting;
- AI, machine learning, and digital twins;
- resilient microgrids and storage;
- grid reliability and recovery;
- climate-resilient green hydrogen;
- water-energy interactions;
- adaptation pathways, planning, markets, and policy;
- evidence from developing, islanded, rural, and energy-vulnerable regions.
The Special Issue seeks original research articles, reviews, case studies, and decision-support frameworks that demonstrate actionable pathways from climate-risk diagnosis to resilient renewable-energy deployment.
Keywords
climate resilience, renewable energy systems, weather extremes, digital twins, artificial intelligence, energy storage, smart grids, green hydrogen, adaptation pathways, climate-risk assessment
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