Weather Impact on DER Long-term Performance: A Formal Verification Approach

Distributed energy resources (DERs), such as solar photovoltaic (PV) panels, are essential to modern energy systems, providing resilience and producing clean, local energy. However, their long-term performance is vulnerable to environmental factors, often leading to undetected issues due to the complexity of systematic monitoring. To address this, we propose a work-in-progress approach leveraging stochastic modeling to analyse and verify system requirements. This approach enables a rigorous evaluation of performance under varying weather conditions, as shown in our preliminary results, representing a significant step forward in managing renewable energy resources effectively.

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Published
2024-11-10
DOI
https://doi.org/10.1109/isgtasia61245.2024.10876300
Primary Topic
Efficiency Analysis Using DEA
Type
article
Field-Weighted Citation Impact
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article

Weather Impact on DER Long-term Performance: A Formal Verification Approach

Ioannis Stefanakos, Xinwei Fang, Hongjian Sun, Ankita Garg et al.
Efficiency Analysis Using DEA
article

Weather Impact on DER Long-term Performance: A Formal Verification Approach

Ioannis Stefanakos, Xinwei Fang, Hongjian Sun, Ankita Garg, A.A. Osman, Misael Alpizar Santana
article en

Abstract

Distributed energy resources (DERs), such as solar photovoltaic (PV) panels, are essential to modern energy systems, providing resilience and producing clean, local energy. However, their long-term performance is vulnerable to environmental factors, often leading to undetected issues due to the complexity of systematic monitoring. To address this, we propose a work-in-progress approach leveraging stochastic modeling to analyse and verify system requirements. This approach enables a rigorous evaluation of performance under varying weather conditions, as shown in our preliminary results, representing a significant step forward in managing renewable energy resources effectively.

Durham University (GB), University of York (GB)
Engineering and Physical Sciences Research Council
Climate action
Openalex Percentile: Top 67%
Efficiency Analysis Using DEA
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