Understanding shading through home-use experience, measurement and modelling
Artykuł w czasopiśmie
MNiSW
5
spoza listy
| Status: | |
| Autorzy: | Baborska-Narożny Magdalena, Bandurski Karol, Grudzińska Magdalena |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Rok wydania: | 2025 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Numer czasopisma: | 1 |
| Wolumen/Tom: | 6 |
| Strony: | 466 - 489 |
| Web of Science® Times Cited: | 1 |
| Scopus® Cytowania: | 1 |
| Bazy: | Web of Science | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Otwarte czasopismo |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Data opublikowania w OA: | 30 lipca 2025 |
| Abstrakty: | angielski |
| Insufficient application of the socio-technical influences on residential energy ‘optimisation’ exacerbates the energy performance gap. This is evident in the modelling of energy and thermal performance. Shading control has the potential to optimise energy demand. This research explores inhabitants’ shading practices across the seasons in occupied low-energy homes. It identifies, describes and quantifies the contextual drivers that underpin individual preferences and triggers for shading activity and their impact on the thermal–energy nexus. In-depth building performance evaluations of five homes built to the same specifications were used to inform dynamic thermal modelling. Simulation scenarios were developed based on inhabitants’ lived experiences. A comparison of two airflow network modelling approaches was conducted, and tailored shading usage models were compared with a default TRNSYS model. A calibrated simulation, representing observed shading practices, quantified the impacts on heating energy and overheating mitigation. The process and findings can be used to improve modelling approaches by reflecting inhabitants’ actual experiences and informing decisions about shading strategies. These findings challenge the current approach used in energy codes and static models which use values based on average inhabitant practices. More appropriate tools with increased sensitivity are needed to account for varied and alternative usage scenarios and assumptions. |
