Assessment of Seasonal Renewable Energy Integration Using Real-WorldConsumption Data
DOI:
https://doi.org/10.69980/p77a7809Keywords:
Renewable Energy Integration, Photovoltaic Systems, Battery Energy StorageAbstract
The integration of renewable energy into modern power systems is
essential for achieving sustainability goals; however, seasonal
variability in renewable generation and electricity demand continues
to present operational and economic challenges. This study assesses
seasonal renewable energy integration using real-world photovoltaic
(PV) generation, electricity consumption, battery storage, and
dynamic electricity pricing data. A quantitative data-driven
approach was employed to evaluate seasonal variations in renewable
generation, electricity demand, storage performance, and economic
outcomes. Renewable penetration, energy balance, battery
utilization, and cost-saving indicators were calculated, while the
Kruskal–Wallis test and Spearman correlation analysis were applied
to examine seasonal differences and inter-variable relationships. The
results revealed significant seasonal variations in renewable
generation, electricity consumption, and electricity prices (p <
0.001). Summer achieved the highest renewable penetration rate
(51.53%) and the greatest economic benefit, with renewable energy
offsetting 43.26% of seasonal electricity costs. In contrast, winter
and autumn exhibited lower renewable penetration rates and greater
dependence on grid electricity. Battery storage analysis
demonstrated substantial contributions to system flexibility, with
storage utilization ranging from 40% to 75% across representative
operating profiles. Furthermore, renewable generation was
consistently negatively correlated with electricity prices,
particularly during spring and summer, indicating its potential to
reduce market price pressure. The findings highlight the critical role
of battery storage and adaptive energy management strategies in
enhancing renewable energy integration under seasonal variability.
This study provides valuable insights for policymakers, utilities, and
energy planners seeking to improve renewable energy utilization
and support the development of resilient and sustainable energy
systems.
References
Abuimara, T., Hobson, B. W., Gunay, B., & O’Brien, W. (2022). A data-driven workflow to
improve energy efficient operation of commercial buildings: A review with real-world
examples. Building Services Engineering Research and Technology, 43(4), 517-534.
2. Aunedi, M., & Green, T. (2020). Early insights into system impacts of smart local energy
systems. arXiv preprint arXiv:2003.08388.
3. Bogdanov, D., Ram, M., Aghahosseini, A., Gulagi, A., Oyewo, A. S., Child, M., ... & Breyer, C.
(2021). Low-cost renewable electricity as the key driver of the global energy transition towards
sustainability. Energy, 227, 120467.
4. Bulkot, O., Liubkina, O., Anisimova, L., & Petrovsky, M. (2023). Investing in renewable energy
transition as a key trend in the global economy. Bulletin of Taras Shevchenko National University
of Kyiv. Economics, 2(223), 10-19.
5. Dratsas, P. A., Psarros, G. N., & Papathanassiou, S. A. (2021). Battery energy storage
contribution to system adequacy. Energies, 14(16), 5146.
6. Gielen, D., Boshell, F., Saygin, D., Bazilian, M. D., Wagner, N., & Gorini, R. (2019). The role of
renewable energy in the global energy transformation. Energy strategy reviews, 24, 38-50.
7. Hassan, Q., Viktor, P., Al-Musawi, T. J., Ali, B. M., Algburi, S., Alzoubi, H. M., ... & Jaszczur,
M. (2024). The renewable energy role in the global energy Transformations. Renewable Energy
Focus, 48, 100545.
8. Impram, S., Nese, S. V., & Oral, B. (2020). Challenges of renewable energy penetration on power
system flexibility: A survey. Energy strategy reviews, 31, 100539.
9. Laimon, M. (2025). Renewable energy curtailment: a problem or an opportunity?. Results in
Engineering, 26, 104925.
10. Maka, A. O., & Chaudhary, T. N. (2024). Performance investigation of solar photovoltaic systems
integrated with battery energy storage. Journal of Energy Storage, 84, 110784.
11. Mararakanye, N., & Bekker, B. (2019). Renewable energy integration impacts within the context
of generator type, penetration level and grid characteristics. Renewable and Sustainable Energy
Reviews, 108, 441-451.
12. Nguyen, S., Peng, W., Sokolowski, P., Alahakoon, D., & Yu, X. (2018). Optimizing rooftop
photovoltaic distributed generation with battery storage for peer-to-peer energy trading. Applied
Energy, 228, 2567-2580.
13. Oyekale, J., Petrollese, M., Tola, V., & Cau, G. (2020). Impacts of renewable energy resources
on effectiveness of grid-integrated systems: Succinct review of current challenges and potential
solution strategies. Energies, 13(18), 4856.
14. Rasheed, M. B., Rodriguez, D., & R-Moreno, M. D. (2025). An optimization cost strategy for
storage-enabled hydrogen flow network using Monte Carlo simulation. Journal of Energy
Storage, 132, 117840.
15. Schwarz, M., Auzepy, Q., & Knoeri, C. (2020). Can electricity pricing leverage electric vehicles
and battery storage to integrate high shares of solar photovoltaics?. Applied Energy, 277, 115548.
16. Sousa, M., Tomé, A. M., & Moreira, J. (2022). Long-term forecasting of hourly retail customer
flow on intermittent time series with multiple seasonality. Data Science and Management, 5(3),
137-148.
17. Steinke, J., Ortiz-Crespo, B., van Etten, J., Borman, G. D., Hassena, M., Kretschmer, M., ... &
Muungani, D. (2023). Seasonal seed scenario planning: co-design of a generic framework for
matching seed supply and demand using seasonal climate forecasts. Climate Services, 32,
100410.Volume-11 – Issue- 04, Dec, 2025 EPH-International Journal of Science and Engineering
85 http://ephijse.com/index.php/SE
18. Tavakoli, A., Saha, S., Arif, M. T., Haque, M. E., Mendis, N., & Oo, A. M. (2020). Impacts of
grid integration of solar PV and electric vehicle on grid stability, power quality and energy
economics: A review. IET Energy Systems Integration, 2(3), 243-260.
19. Tayenne, L., Bruno, R., Pedro, F., Luis, G., & Zita, V. (2025). Dataset for daily energy
management: Renewable generation, consumption, and storage (v1.1) [Data set]. Zenodo.
https://doi.org/10.5281/zenodo.15394961
20. Upadhyay, A., Mukhuty, S., Kumar, V., & Kazancoglu, Y. (2021). Blockchain technology and the
circular economy: Implications for sustainability and social responsibility. Journal of cleaner
production, 293, 126130.
21. Wu, Y., Liu, Z., Liu, J., Xiao, H., Liu, R., & Zhang, L. (2022). Optimal battery capacity of gridconnected PV-battery systems considering battery degradation. Renewable Energy, 181, 10-23.
22. Zandi, H., Starke, M., Winstead, C., Kuruganti, T., Hill, J., & Li, F. (2023). Optimal operation of
integrated PV and energy storage considering multiple operational modes with a real-world case
study. IEEE Access, 11, 99070-99082



