Energy-Flow Regimes and Their Temporal Transitions in a PV-Building System
Artykuł w czasopiśmie
| Status: | |
| Autorzy: | Caban Jacek, Małek Arkadiusz, Boretska Iryna, Drozd Kazimierz |
| Dyscypliny: | |
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| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Strony: | 1 - 21 |
| Web of Science® Times Cited: | 0 |
| Bazy: | Web of Science |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Witryna wydawcy |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Data opublikowania w OA: | 26 września 2026 |
| Abstrakty: | angielski |
| Electricity generated from sunlight using installations equipped with photovoltaic (PV) panels is one of the most widely used forms of renewable energy. This paper presents a regime‐based framework for analyzing the operation of a PV‐building system by identifying characteristic energy‐flow regimes and their temporal transitions. High‐resolution measurement data are transformed into internally consistent energy‐flow components—self‐consumption, surplus export, and grid import—which jointly describe instantaneous energy allocation within the system. Unsupervised clustering applied in this multidimensional energy‐flow space reveals a finite set of physically interpretable operating regimes that recur systematically over daily and monthly time scales. By representing system operation as ordered sequences of regimes, the study quantifies regime persistence and transition asymmetry, revealing structured and directional transition patterns associated with the interaction between PV generation and building demand. The results show that this regime‐ and transition‐oriented perspective captures behavioral features of PV‐building systems that are not visible in aggregated energy indicators and provides a data‐driven basis for operational interpretation and for future studies on energy‐management strategies. |
