Authors: Lina Morkunaite, Justas Kardoka, Darius Pupeikis, Paris Fokaides, Vangelis Angelakis

Published on: February 05, 2024

Impact Score: 8.22

Arxiv code: Arxiv:2402.02909

Summary

• What is new: An architecture that combines grey box modeling with real-time IoT data and 3D representations to optimize building heating energy.
• Why this is important: The complexity of building thermal dynamics and the inadequacy of existing white and black box models.
• What the research proposes: A digital twin platform that integrates grey box modeling, IoT data, and 3D building representations for informed heating energy optimization.
• Results: Facilitated decision-making and analysis for stakeholders without requiring extensive expertise or time.

Technical Details

Technological frameworks used: Digital Twin platform integrating IoT, cloud computing, and machine learning.

Models used: Grey box models combining physics-based insights with building energy consumption data.

Data used: Real-time IoT data and 3D building representations.

Potential Impact

Energy providers, facility management companies, and governing bodies related to building standards and energy efficiency regulations.

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