期刊
ENERGIES
卷 15, 期 20, 页码 -出版社
MDPI
DOI: 10.3390/en15207760
关键词
data cleansing; decision support system; energy loss breakdown; fault detection; operation and maintenance; performance monitoring; photovoltaic; platform; recommendations
资金
- 1C4PV SOLAR-ERA.NET project
- Research and Innovation Foundation (RIF) of Cyprus (RIF project) [P2P/SOLAR/0818/0010]
This paper proposes a cloud-based platform for reducing PV operation and maintenance costs and improving lifetime performance. The platform incorporates a decision support system (DSS) engine and data-driven functionalities to ensure optimum performance by monitoring the operating state of PV assets in real time and providing recommendations for resolving underperformance issues.
A cloud-based platform for reducing photovoltaic (PV) operation and maintenance (O&M) costs and improving lifetime performance is proposed in this paper. The platform incorporates a decision support system (DSS) engine and data-driven functionalities for data cleansing, PV system modeling, early fault diagnosis and provision of O&M recommendations. It can ensure optimum performance by monitoring in real time the operating state of PV assets, detecting faults at early stages and suggesting field mitigation actions based on energy loss analysis and incidents criticality evaluation. The developed platform was benchmarked using historical data from a test PV power plant installed in the Mediterranean region. The obtained results showed the effectiveness of the incorporated functionalities for data cleansing and system modeling as well as the platform's capability for automated PV asset diagnosis and maintenance by providing recommendations for resolving the detected underperformance issues. Based on the DSS recommendations, approximately 7% of lost energy production could be recovered by performing field mitigation activities (e.g., corrective actions).
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据