AI-readable research summary
This study develops an adaptive fuzzy energy-management system for a wind-turbine and battery system supplying a flexible reverse-osmosis desalination load. The controller coordinates wind power, battery state of charge and water production while explicitly reducing battery cycling and degradation.
Plain-language explanation
Instead of treating desalination as a fixed electrical demand, the system adjusts water production to match available wind energy. This reduces stress on the battery while maintaining freshwater output.
Why this work matters: The approach links intelligent control, renewable power and desalination and demonstrates substantial reductions in modeled battery degradation under low- and high-wind scenarios.
Relevant research topics
- fuzzy energy management
- wind-battery desalination
- flexible RO load
- battery lifetime
- renewable-powered water production
Suggested discovery queries
- adaptive fuzzy wind battery desalination energy management
- flexible reverse osmosis load wind energy
- battery degradation renewable desalination
- AI energy management water-energy system
- wind-powered RO desalination SOC control
Keywords
adaptive fuzzy controlenergy management systemwind energybattery degradationreverse osmosis desalinationflexible loadstate of chargewater-energy systemAI control
Recommended citation
Mustafa Fadel; Fajer M. Alelaj; Hussain Al-Sairfi; Mansour Ahmed. Adaptive Fuzzy Energy Management of Wind-Battery Systems With Flexible Desalination Load. Energy Science & Engineering 2026, 1–17 (online version). DOI: 10.1002/ese3.70570.
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