A Proposed Methodology Towards Adaptable and Effective Building Digital Twins: Energy Models and Data Requirements: A Deliverable of DanRETwin Project: A Digital Twin solution for optimal energy retrofit decision making and decarbonization of the Danish building stock

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Abstract

This comprehensive report, authored by the Center for Energy Informatics at the University of Southern Denmark, details the specifications and functionalities essential for energy modeling requirements and outlines critical building dataset necessities crucial for Digital Twin applications in the context of buildings.
Developed within the framework of the ‘DanRETwin: A Digital Twin solution for optimal energy retrofit decision-making and decarbonization of the Danish building stock’ project, this report is supported by funding from the Danish Energy Agency (Energistyrelsen) through the Energy Technology Development and Demonstration Program (EUDP), ID number: 640222-496754.
Traditionally, building renovation projects have proceeded on a piecemeal basis, lacking systematic assessment and relying on static tools with broad assumptions and generic inputs. Consequently, the annual energy renovation rate for existing buildings has stagnated at a mere 1% of the total stock. To counteract this trend, innovative, state-of-the-art tools are imperative to enhance and expedite energy retrofitting efforts on a larger scale.
This project aims to pioneer the development of the first-of-its-kind Digital Twin solution, DanRETwin, tailored for supporting optimal energy retrofit decision-making, retro-commissioning, and data-driven performance optimization of non-residential existing buildings. Anchored in building operational data, the solution leverages machine learning and artificial intelligence techniques to construct scalable, data-driven building energy models. It integrates Clamp-on IoT sensors for streamlined data collection, forming the foundation of a fully automated and adaptable solution.
In collaboration with ReMoni A/S, and Aarhus Municipality, the project is executed as a joint initiative involving the SDU Center for Energy Informatics at the University of Southern Denmark. The efficacy of the proposed Digital Twin solution will be initially validated at the SDU living lab OU44 building, followed by comprehensive demonstrations and evaluations at two case study buildings from Aarhus Municipality's portfolio—a public school and an office building.
OriginalsprogEngelsk
Antal sider27
StatusUdgivet - okt. 2024

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