BESS Sizing for Industrial Prosumers: A Grid-Dependency-Oriented Comparison of Combination-Based and Target-Oriented Approaches
14th International Conference on Smart Grid, icSmartGrid 2026, Suceava, Romanya, 6 - 09 Temmuz 2026, ss.207-211, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/icsmartgrid70882.2026.11680844
- Basıldığı Şehir: Suceava
- Basıldığı Ülke: Romanya
- Sayfa Sayıları: ss.207-211
- Anahtar Kelimeler: BESS sizing, grid dependency, industrial prosumer, residual load analysis, rule-based operation, self-sufficiency, solar energy system
- Gazi Üniversitesi Adresli: Evet
Özet
This study investigates the sizing of a battery energy storage system (BESS) for a photovoltaic (PV)-integrated industrial facility using two complementary approaches, driven by one year of real-world hourly consumption and generation data. Initially, a combination-based approach evaluates battery power ratings and 2-4 hour duration capacities based on the annual hourly distribution of surplus generation exported to the grid. These predefined capacities are subsequently analyzed using a goal-oriented, rule-based, iterative energy-balancing model. In the iterative approach, the upper bound of the battery's energy capacity is defined to maximize the self-consumption of excess solar generation, thereby mitigating grid feed-in. The analysis reveals that grid dependency, which is 50.59% in the reference case without storage, is reduced to 12.28% under the optimal combination-based configuration (600 kW / 2400 kWh), while the self-sufficiency rate increases to 87.72%. Furthermore, the solar self-consumption rate demonstrates significant improvement over the 15.90% baseline observed without storage. Conversely, the iterative approach reveals that an energy capacity of approximately 436.8 MWh is required to achieve zero grid export, demonstrating that targeting complete surplus energy recovery in industrial prosumers with high PV generation can lead to severe system oversizing. Ultimately, these findings quantitatively illustrate diminishing returns across all evaluated configurations, highlighting that optimal BESS sizing must holistically balance minimal grid dependency with capacity feasibility, self-sufficiency, and marginal utility.