Work

Optimisation of photovoltaic and battery systems for cost-effective energy solutions in commercial buildings

Year: 2025

Type: article

Abstract: 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. • MILP model optimises PV-battery system design and operation. • PV and battery installation achieve 46% annual energy demand coverage. • Mono-Si PV and LFP battery yield 5.5-year payback, £303.8k NPV over 15 years. • Sensitivity analysis shows high electricity prices enhances financial outcomes. • Degradation has minimal impact on the optimal system performance.

Source: Applied Energy

DOI: 10.1016/j.apenergy.2025.125907

Authors: Brantyo Laksahapsoro, Max Bird, Salvador Acha, Nilay Shah

Institution: Imperial College London

Language: English

Topic: Smart Grid Energy Management

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action, Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: hybrid

Estimated APC paid: $4,430