Szczegóły publikacji
Opis bibliograficzny
Evaluation of a home energy management system using one-year data under dynamic tariff conditions / Emilia Kazanecka, Dominika MATUSZEWSKA, Lina Montuori, Mohsen Assadi, Piotr Olczak // Energies [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1996-1073 . — 2026 — vol. 19 iss. 5 art. no. 1383, s. 1–16. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 15–16, Abstr. — Publikacja dostępna online od: 2026-03-09
Autorzy (5)
- Kazanecka Emilia
- AGHMatuszewska Dominika
- Montuori Lina
- Assadi Mohsen
- Olczak Piotr
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 166561 |
|---|---|
| Data dodania do BaDAP | 2026-03-17 |
| Tekst źródłowy | URL |
| DOI | 10.3390/en19051383 |
| Rok publikacji | 2026 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Energies |
Abstract
This paper presents a case study of a Home Energy Management System (HEMS) integrating photovoltaic (PV) generation, battery energy storage (BES), thermal storage, and a heat pump in a single-family household operating under a dynamic electricity tariff. The analysis is based on real operational data and focuses on system performance under varying solar generation conditions. The results show that during sunny days, the battery storage absorbs the entire surplus PV generation until reaching full capacity, i.e., 10 kWh, effectively preventing curtailment and maximizing self-consumption. On days with limited solar production, the system actively utilizes the available storage capacity by shifting energy use in time and, when economically justified, temporarily charging the battery from the grid during low-price periods. This strategy reduces electricity purchases during peak-price hours and stabilizes household energy costs. For the analyzed case, daily PV generation self-consumption exceeded 70% on high-generation days, while the application of storage-based load shifting under dynamic tariffs reduced daily electricity costs by up to 30% compared to a fixed-rate tariff. The study confirms that the economic and operational performance of residential energy systems under dynamic pricing depends primarily on adaptive storage control rather than on PV capacity alone, highlighting the central role of battery energy storage in year-round energy optimization.
