{"title":"光伏系统公共数据存储库的开发和实施:马耳他生活实验室案例研究","authors":"Brian Bartolo , Brian Azzopardi , Kenneth Scerri","doi":"10.1016/j.seja.2025.100100","DOIUrl":null,"url":null,"abstract":"<div><div>The transition to renewable energy, particularly Photovoltaic systems (PVs), is pivotal in achieving carbon neutrality goals. However, effective performance monitoring through data sharing remains challenging, especially in regions with unique environmental conditions. This study addresses these gaps by introducing Malta's first public data repository for PVs under the PROMISE project. The initiative integrates high-precision, laboratory-grade sensors compliant with IEC standards to ensure robust data acquisition and processing. The methodology builds on international best practices, employing advanced monitoring frameworks to capture meteorological and system parameters with high temporal resolution. Using three of the ten PV Living Laboratories in Malta, the system reflects typical installations in a Mediterranean Island Territory climate and the Maltese context. Data collection and processing adhere to European standards and established practices from existing public data repositories, ensuring compatibility and interoperability. By leveraging open-source platforms, the repository enables real-time visualization and the provision of structured historical datasets. Performance metrics, such as the DC performance ratio, are further employed to highlight the value of data sharing and collaboration in optimizing system performance and advancing predictive maintenance strategies. This work establishes a scalable framework for local PV monitoring and data sharing, advancing research and innovation in renewable energy and promoting Malta's participation in foreign programs. Future expansions aim to include additional laboratories, automate data uploads, and integrate Artificial intelligence (AI) driven fault detection tools, enhancing the system's utility and reliability.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100100"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development and implementation of a public data repository for photovoltaic systems: Case study malta's living laboratories\",\"authors\":\"Brian Bartolo , Brian Azzopardi , Kenneth Scerri\",\"doi\":\"10.1016/j.seja.2025.100100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The transition to renewable energy, particularly Photovoltaic systems (PVs), is pivotal in achieving carbon neutrality goals. However, effective performance monitoring through data sharing remains challenging, especially in regions with unique environmental conditions. This study addresses these gaps by introducing Malta's first public data repository for PVs under the PROMISE project. The initiative integrates high-precision, laboratory-grade sensors compliant with IEC standards to ensure robust data acquisition and processing. The methodology builds on international best practices, employing advanced monitoring frameworks to capture meteorological and system parameters with high temporal resolution. Using three of the ten PV Living Laboratories in Malta, the system reflects typical installations in a Mediterranean Island Territory climate and the Maltese context. Data collection and processing adhere to European standards and established practices from existing public data repositories, ensuring compatibility and interoperability. By leveraging open-source platforms, the repository enables real-time visualization and the provision of structured historical datasets. Performance metrics, such as the DC performance ratio, are further employed to highlight the value of data sharing and collaboration in optimizing system performance and advancing predictive maintenance strategies. This work establishes a scalable framework for local PV monitoring and data sharing, advancing research and innovation in renewable energy and promoting Malta's participation in foreign programs. Future expansions aim to include additional laboratories, automate data uploads, and integrate Artificial intelligence (AI) driven fault detection tools, enhancing the system's utility and reliability.</div></div>\",\"PeriodicalId\":101174,\"journal\":{\"name\":\"Solar Energy Advances\",\"volume\":\"5 \",\"pages\":\"Article 100100\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Solar Energy Advances\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2667113125000130\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Solar Energy Advances","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667113125000130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development and implementation of a public data repository for photovoltaic systems: Case study malta's living laboratories
The transition to renewable energy, particularly Photovoltaic systems (PVs), is pivotal in achieving carbon neutrality goals. However, effective performance monitoring through data sharing remains challenging, especially in regions with unique environmental conditions. This study addresses these gaps by introducing Malta's first public data repository for PVs under the PROMISE project. The initiative integrates high-precision, laboratory-grade sensors compliant with IEC standards to ensure robust data acquisition and processing. The methodology builds on international best practices, employing advanced monitoring frameworks to capture meteorological and system parameters with high temporal resolution. Using three of the ten PV Living Laboratories in Malta, the system reflects typical installations in a Mediterranean Island Territory climate and the Maltese context. Data collection and processing adhere to European standards and established practices from existing public data repositories, ensuring compatibility and interoperability. By leveraging open-source platforms, the repository enables real-time visualization and the provision of structured historical datasets. Performance metrics, such as the DC performance ratio, are further employed to highlight the value of data sharing and collaboration in optimizing system performance and advancing predictive maintenance strategies. This work establishes a scalable framework for local PV monitoring and data sharing, advancing research and innovation in renewable energy and promoting Malta's participation in foreign programs. Future expansions aim to include additional laboratories, automate data uploads, and integrate Artificial intelligence (AI) driven fault detection tools, enhancing the system's utility and reliability.