{"title":"SmarThor: Digital backbone of the Open Thor Living Lab","authors":"Klaas Thoelen, Bart Dewallef, Rajni Singh, Luc Rynders, Geert Deconinck","doi":"10.1049/stg2.70003","DOIUrl":null,"url":null,"abstract":"<p>With energy systems becoming increasingly data driven, the need arises for dedicated, long-term, and stable data-sharing infrastructures to further facilitate research and innovation. This case study paper presents <span>SmarThor</span> as the digital backbone of the Open Thor Living Lab, an infrastructure environment where research meets industry, citizens and governments to develop, integrate, and test innovative energy solutions in real-life operational settings. <span>SmarThor</span> is a custom cloud-based high-volume time series data-sharing platform developed at EnergyVille, Belgium. It offers services to monitor and control energy systems within the living lab and provides centralised storage and access to this locally collected data. Additionally, data sets on local energy markets, power grids, and weather conditions are hosted, providing supplementary information on the operational context of the living lab. Currently, the platform contains more than 2500 time series, often spanning multiple years, resulting in over 2 billion data points. The availability of this wide data set via a single platform substantially expedites data analytics and artificial intelligence solutions within the Open Thor Living Lab. This paper presents the needs and requirements for the platform, its architecture and implementation, a selection of use cases, and valuable lessons learnt from developing and hosting the data-sharing platform.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70003","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Smart Grid","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/stg2.70003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
With energy systems becoming increasingly data driven, the need arises for dedicated, long-term, and stable data-sharing infrastructures to further facilitate research and innovation. This case study paper presents SmarThor as the digital backbone of the Open Thor Living Lab, an infrastructure environment where research meets industry, citizens and governments to develop, integrate, and test innovative energy solutions in real-life operational settings. SmarThor is a custom cloud-based high-volume time series data-sharing platform developed at EnergyVille, Belgium. It offers services to monitor and control energy systems within the living lab and provides centralised storage and access to this locally collected data. Additionally, data sets on local energy markets, power grids, and weather conditions are hosted, providing supplementary information on the operational context of the living lab. Currently, the platform contains more than 2500 time series, often spanning multiple years, resulting in over 2 billion data points. The availability of this wide data set via a single platform substantially expedites data analytics and artificial intelligence solutions within the Open Thor Living Lab. This paper presents the needs and requirements for the platform, its architecture and implementation, a selection of use cases, and valuable lessons learnt from developing and hosting the data-sharing platform.
随着能源系统越来越受数据驱动,需要专门的、长期的、稳定的数据共享基础设施,以进一步促进研究和创新。本案例研究报告将SmarThor作为开放Thor生活实验室的数字骨干,该实验室是一个基础设施环境,研究人员可以在此与行业、公民和政府会面,在实际操作环境中开发、集成和测试创新的能源解决方案。SmarThor是比利时EnergyVille公司开发的基于云的定制大容量时间序列数据共享平台。它提供监测和控制生活实验室能源系统的服务,并提供集中存储和访问这些本地收集的数据。此外,还托管了当地能源市场、电网和天气条件的数据集,为生活实验室的运行环境提供补充信息。目前,该平台包含超过2500个时间序列,通常跨越多年,产生超过20亿个数据点。通过单一平台的广泛数据集的可用性大大加快了Open Thor Living Lab内的数据分析和人工智能解决方案。本文介绍了该平台的需求、架构和实现、用例的选择,以及从开发和托管数据共享平台中获得的宝贵经验。