Abstract
Building thermal modeling is the founding stone upon which numerous carbon reduction strategies in the building sector are built. Yet, as of today, little to no interpretable and calibrated models founded on real-world measurements have been open-sourced. This work attempts to remedy this deficiency and renders public improved results of a recently published stochastic model identification of building heat dynamics study evaluated over 225 Dutch residential buildings. Calibrated lumped resistance-capacity models are made available, along with thermal characterizations of the buildings and reported meta-data. The paper discusses how open-access building thermal models support a collection of building service applications such as building performance benchmarks, model-based control, demand-side management, policy impact assessment, and data augmentation. Insights provided present a starting point for open access benchmarks of building thermal dynamics, paving the way toward new scientific discoveries from common standards.
| Original language | English |
|---|---|
| Title of host publication | SenSys '22: Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems |
| Number of pages | 5 |
| Publisher | Association for Computing Machinery |
| Publication date | 2022 |
| Pages | 1067-1071 |
| ISBN (Electronic) | 978-145039886-2 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 20th ACM Conference on Embedded Networked Sensor Systems - Boston, United States Duration: 6 Nov 2022 → 9 Nov 2022 Conference number: 20 |
Conference
| Conference | 20th ACM Conference on Embedded Networked Sensor Systems |
|---|---|
| Number | 20 |
| Country/Territory | United States |
| City | Boston |
| Period | 06/11/2022 → 09/11/2022 |
Keywords
- Buildings
- Grey-box modeling
- Open data
- Heat dynamics
- Demand-side management
- Performance benchmark
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