A Digital Twin Framework for Data-Driven Electricity Management and Scenario-Based Decision Support in University Buildings
收藏DataCite Commons2026-04-02 更新2026-05-04 收录
下载链接:
https://repod.icm.edu.pl/citation?persistentId=doi:10.18150/PFR5S7
下载链接
链接失效反馈官方服务:
资源简介:
The dataset contained in this repository includes information used to develop an energy digital twin (DT) for a University of Gdańsk building located in Sopot, Poland. The data originate from the Energy Management System (EMS) and cover two years of electricity consumption observations. The dataset enables analysis of the building’s behaviour over time, including monitoring energy consumption, identifying operational patterns, and developing simulation scenarios. The data were used to build and calibrate the digital twin model, which supports the analysis and optimisation of the building's electricity consumption. The repository provides data that enables the reproduction of optimisation scenarios and the evaluation of their effectiveness, including the assessment of potential energy and economic benefits resulting from proposed changes to building operation.
提供机构:
RepOD
创建时间:
2026-03-27



