| Autor: |
Leiria Daniel, Johra Hicham, Belias Evangelos, Quaggiotto Davide, Zarrella Angelo, Marszal-Pomianowska Anna, Pomianowski Michal |
| Jazyk: |
English<br />French |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
E3S Web of Conferences, Vol 362, p 10001 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2267-1242 |
| DOI: |
10.1051/e3sconf/202236210001 |
| Popis: |
One of the initiatives to reach the European decarbonization goal is the roll-out of smart heating meters in the building stock. However, these meters often record the total energy usage with only hourly resolution, without distinguishing between space heating (SH) and domestic hot water (DHW) production. To tackle this limitation, this paper presents the validation of a new methodology to estimate the SH and DHW from total measurements in different building types in three countries (Denmark, Switzerland, and Italy). The method employs a combined smoothing algorithm with a support vector regression (SVR) to estimate the different heating uses. The estimation results are compared with the different countries’ DHW compliance calculations. The comparison showed that the compliance calculations outperformed this method by considering the validation dataset characteristics. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
