Dataset from Zenodo · Hasrat, Imran R.
Artifact for the paper "Towards Model-Driven Heat Pump Control in a Multi-Story Building"
- License
- CC BY 4.0commercial use allowedLicense text
- This license allows commercial use. Usually you must credit the author; read the license for the exact terms.
- Formats
- ZIP
- Size
- 281 MB
- Updated
- Nov 18, 2024
Description
This is a reproducibility package for the paper "Towards Model-Driven Heat Pump Control in a Multi-Story Building". Domestic heating systems can provide significant energy flexibility when integrated with heat pumps and hot water buffer tanks, especially with fluctuating day-ahead energy prices. However, optimizing these systems in large buildings with shared resources poses crucial challenges. While most existing studies target single-room or single-family house systems, this study explores the complexities within a three-story building housing six apartments. The building’s heating system consists of a hot water buffer tank, mixing loop, radiant floor heating system, and a Ground Source Heat Pump (GSHP) controlled by a weather-compensated control strategy (WCS). Our approach aims to tackle challenges like integrating real sensor data, scalability, varying weather effects, and diverse resident heat use preferences. We employ the CTSMR software to identify thermal behaviour and use reinforcement learning to design an intelligent/model-driven UPPAAL STRATEGO controller. Our results reveal a 43% reduction in energy costs while maintaining comfort levels compared to a WCS. The…
Description from Zenodo, shortened.
Files (1)
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