| Issue |
E3S Web of Conf.
Volume 562, 2024
BuildSim Nordic 2024
|
|
|---|---|---|
| Article Number | 06003 | |
| Number of page(s) | 16 | |
| Section | System Optimization and Building Performance Simulation (BPS) | |
| DOI | https://doi.org/10.1051/e3sconf/202456206003 | |
| Published online | 07 August 2024 | |
Challenges, benefits, and open questions in Data-Driven Commercial Building Cooling Optimization
1 Tallinn University of Technology, Department of Computer Systems, 19086 Tallinn, Estonia
2 Tallinn University of Technology, Department of Energy Technology, 19086 Tallinn, Estonia
3 R8 Technologies OÜ, 11415 Tallinn, Estonia
* Corresponding author: eduard.petlenkov@taltech.ee
The rising demand for building cooling presents a challenge, expected to triple energy usage by 2050. European Parliament targets a 40% reduction in final energy and 42.5% in primary energy by 2030. This paper examines data-driven solutions in Building Management Systems (BMS) for energy-efficient cooling. It outlines challenges, benefits, and open questions in Data-Driven Commercial Building Cooling Optimization. By integrating data-driven techniques with current infrastructure, it proposes sustainable cooling practices. Results indicate potential energy reductions of up to 24%, lower costs, and prolonged system lifespan. This research addresses cooling deficiencies, providing practical, lasting energy efficiency solutions for commercial buildings.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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