Citation

BibTex format

@article{Laksahapsoro:2025:10.1016/j.apenergy.2025.125907,
author = {Laksahapsoro, B and Bird, M and Acha, S and Shah, N},
doi = {10.1016/j.apenergy.2025.125907},
journal = {Applied Energy},
title = {Optimisation of photovoltaic and battery systems for cost-effective energy solutions in commercial buildings},
url = {http://dx.doi.org/10.1016/j.apenergy.2025.125907},
volume = {392},
year = {2025}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - This study investigates the optimisation of photovoltaic (PV) and battery energy storage systems (BESS) for commercial buildings in the UK, addressing the need for cost-effective energy solutions and the challenge of ensuring financial viability. A mixed-integer linear programming (MILP) model is developed to simultaneously optimise the design and operation of PV-BESS systems, focusing on minimising the 15-year net present cost. In doing so, the model comprehensively assesses a wide range of relevant factors, including electricity market dynamics, weather conditions, technology performance and costs, energy demand, and building-specific characteristics. The optimisation model is demonstrated through a case study informed by an actual commercial building in the UK. The results indicate that a combination of mono-crystalline silicon PV modules and lithium iron phosphate (LFP) batteries yields the optimal solution, providing about 46% of the building's annual energy demand. The optimised system successfully achieves a balanced trade-off between cost and technical performance, offering a sensible payback period of 5.5 years and a 15-year NPV of £303.8k, resulting in 20% cost savings compared to the business-as-usual (BaU) scenario. The sensitivity analysis shows that high electricity prices lead to better financial outcomes, while higher energy storage costs reduce system viability. This work provides a practical framework for evaluating the design, operation, and financial viability of PV-BESS systems, while delivering actionable insights to support the broader adoption of these technologies.
AU - Laksahapsoro,B
AU - Bird,M
AU - Acha,S
AU - Shah,N
DO - 10.1016/j.apenergy.2025.125907
PY - 2025///
SN - 0306-2619
TI - Optimisation of photovoltaic and battery systems for cost-effective energy solutions in commercial buildings
T2 - Applied Energy
UR - http://dx.doi.org/10.1016/j.apenergy.2025.125907
UR - https://doi.org/10.1016/j.apenergy.2025.125907
VL - 392
ER -