| Autor: |
Sukhanov Ivan, Volkova Anna, Kose Ahmet, Hani Allan, Petlenkov Eduard |
| Jazyk: |
English<br />French |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
E3S Web of Conferences, Vol 562, p 06003 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2267-1242 |
| DOI: |
10.1051/e3sconf/202456206003 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
