What does this research mean for the field?

Effectively managing photovoltaic-storage-charging microgrids in extreme environments requires energy management systems that explicitly incorporate environment-dependent degradation dynamics. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To comprehensively review component degradation mechanisms, predictive modeling approaches, and degradation-aware energy management frameworks for photovoltaic-storage-charging microgrids in harsh environments.

August 29, 2026Energy Conversion and EconomicsOpen Access

Degradation‐aware energy management for photovoltaic‐storage‐charging microgrids under extreme operating environments: A comprehensive review

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To comprehensively review component degradation mechanisms, predictive modeling approaches, and degradation-aware energy management frameworks for photovoltaic-storage-charging microgrids in harsh environments.
Classified extreme operating environments—including desert, polar, coastal, and high-altitude settings—using quantitative thresholds.
Categorized component degradation modeling techniques into analytical, data-driven, and physics-informed formulations.
Surveyed control architectures spanning classical model-based optimization, reinforcement learning, and hybrid systems.
Severe climatic stressors accelerate mechanical, thermal, and electrochemical degradation across photovoltaic arrays, battery packs, and charging stations.
Physics-informed and reinforcement-learning controllers mitigate hardware degradation more effectively than conventional control schemes that neglect environment-driven wear.
Current architectures lack multi-stress generalization, underscoring the need for standardized open-source datasets and digital twin validation testbeds.

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Implication

Review demonstrates degradation-aware energy management strategies for microgrids in extreme operating climates, highlighting the necessity of multi-stress modeling and digital twins.

Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/6a9299ac8e5d7d1fc0c11b6b https://doi.org/10.1049/enc2.70046

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Implication

Review demonstrates degradation-aware energy management strategies for microgrids in extreme operating climates, highlighting the necessity of multi-stress modeling and digital twins.

Degradation‐aware energy management for photovoltaic‐storage‐charging microgrids under extreme operating environments: A comprehensive review

Key Points

Discussion

Implication

Cite This Study

Degradation‐aware energy management for photovoltaic‐storage‐charging microgrids under extreme operating environments: A comprehensive review

Key Points

Discussion

Implication

Cite This Study

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