What does this research mean for the field?

Integrating optimal hourly contracted power capacity into the simultaneous sizing of photovoltaic and battery energy storage systems significantly improves project Net Present Value and reduces the Levelized Cost of Electricity compared to traditional sizing models. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To develop a behind-the-meter sizing optimization model for photovoltaic and battery storage systems that incorporates multi-period contracted power capacity and market trading.

August 22, 2026Journal of Energy StorageOpen Access

Model for optimal sizing of Photovoltaic and Battery Energy Storage Systems considering an efficient scheme for contracted power capacity

View Full Paper

Ask AI

Bookmark

Authors

PJPaulo M. De Oliveira‐De Jesus ADAlejandro J. Salas D.JYJosé M. Yusta

Discussion

Member takes

Overview

Optimization study demonstrates improved net present value for commercial solar-plus-storage systems, highlighting the financial benefits of strategic power contracting schemes.

Key Points

To develop a behind-the-meter sizing optimization model for photovoltaic and battery storage systems that incorporates multi-period contracted power capacity and market trading.
Formulated an optimization framework that maximizes Net Present Value by co-optimizing PV capacity, battery storage sizing, dispatch scheduling, and hourly contracted grid capacity.
Evaluated model performance using a simulation case study of a 1,000 kW commercial data center located in Madrid, comparing the outcome against a baseline sizing approach.
The proposed approach determined optimal sizing of 6,100 kWp PV and 9,330 kWh BESS with a [0,0,0,0,0,1] MW contracting scheme, reducing the Levelized Cost of Electricity from 114 to 77.5 US $/MWh.
Net Present Value increased from US $ -9,135,410.60 to US $ 3,623,548 with an Internal Rate of Return of 12.7%, achieving a 24.6% NPV enhancement over models lacking demand charge optimization.

Cite This Study

Jesus et al. (2026) studied this question.

synapsesocial.com/papers/6a895ec3ca7ade938187cee4 https://doi.org/10.1016/j.est.2026.124014

View Full Paper

Ask AI

Bookmark

August 22, 2026Journal of Energy StorageOpen Access

Model for optimal sizing of Photovoltaic and Battery Energy Storage Systems considering an efficient scheme for contracted power capacity

View Full Paper

Ask AI

Bookmark

Authors

PJPaulo M. De Oliveira‐De Jesus ADAlejandro J. Salas D.JYJosé M. Yusta

Discussion

Member takes

Overview

Optimization study demonstrates improved net present value for commercial solar-plus-storage systems, highlighting the financial benefits of strategic power contracting schemes.

Key Points

To develop a behind-the-meter sizing optimization model for photovoltaic and battery storage systems that incorporates multi-period contracted power capacity and market trading.
Formulated an optimization framework that maximizes Net Present Value by co-optimizing PV capacity, battery storage sizing, dispatch scheduling, and hourly contracted grid capacity.
Evaluated model performance using a simulation case study of a 1,000 kW commercial data center located in Madrid, comparing the outcome against a baseline sizing approach.
The proposed approach determined optimal sizing of 6,100 kWp PV and 9,330 kWh BESS with a [0,0,0,0,0,1] MW contracting scheme, reducing the Levelized Cost of Electricity from 114 to 77.5 US $/MWh.
Net Present Value increased from US $ -9,135,410.60 to US $ 3,623,548 with an Internal Rate of Return of 12.7%, achieving a 24.6% NPV enhancement over models lacking demand charge optimization.

Cite This Study

Jesus et al. (2026) studied this question.

synapsesocial.com/papers/6a895ec3ca7ade938187cee4 https://doi.org/10.1016/j.est.2026.124014

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

View Full Paper

Ask AI

Bookmark