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Joint sizing and energy management optimization with dynamic battery lifetime modeling in residential PV–battery systems

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  • Lekhel, Cheikh Elekbir Sidi
  • Mbayed, Rita
  • Hokmabad, Hossein Nourollahi
  • Husev, Oleksandr
  • Velihorskyi, Oleksandr
  • Monmasson, Eric

Abstract

Battery Energy Storage Systems (BESS) are a critical component in residential PV–battery systems due to their high cost and lifetime variability caused by aging. This paper presents a joint optimization framework for system sizing and operation that integrates a dynamic lifetime model combining calendar and cyclic degradation mechanisms. The proposed approach links degradation behavior with both operational and economic decisions through annualized cost formulations. A residential case study in Tallinn is conducted under self-consumption and grid-selling scenarios. Results show that optimized operation extends battery lifetime beyond 13 years and reduces the payback period from 16 to 7 years in the grid-selling case. Seasonal analyses indicate that degradation is dominated by cyclic aging, with annual capacity fade (i.e., SoH loss) between 1.3% and 1.7%. The impact of solar irradiance uncertainty was also evaluated, showing cost deviations below 8% and a lifetime reduction of about 1.5 years.

Suggested Citation

  • Lekhel, Cheikh Elekbir Sidi & Mbayed, Rita & Hokmabad, Hossein Nourollahi & Husev, Oleksandr & Velihorskyi, Oleksandr & Monmasson, Eric, 2026. "Joint sizing and energy management optimization with dynamic battery lifetime modeling in residential PV–battery systems," Renewable Energy, Elsevier, vol. 260(C).
    • Handle: RePEc:eee:renene:v:260:y:2026:i:c:s0960148126000133
    DOI: 10.1016/j.renene.2026.125188
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    References listed on IDEAS

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