Lithium-Ion Battery Energy Storage System (BESS) technology is rapidly being adopted by the mining industry in Australia to address its energy demands. BESS technology offers substantial benefits including significant cost reduction, emissions reduction, and reduced reliance on diesel generators. The scale of BESS battery storage requirements varies significantly depending on the application, ranging from smaller on-site batteries that supplement diesel generator systems during peak demand periods to larger grid-scale systems. The use of BESS technology presents a new set of safety challenges for facilities utilising these systems. Thermal runaway events are of particular concern and involve a rapid and uncontrolled increase in battery temperature caused by various electrical, mechanical, environmental, thermal and human error induced failure modes. Battery fires and subsequent off-gas generation from battery cells present toxic hazards, as well as delayed ignition impacts such as flash fires and explosions. Appropriate implementation of preventative measures, site layout planning and emergency response planning are of high importance. Consequence modelling of thermal runaway events through the use of software tools and other calculation methods is an important strategy for informing the design and operational requirements of BESS facilities. Consequence modelling can help inform such things as: • Location of BESS containers relative to on-site critical infrastructure, densely populated areas and occupied buildings. • Requirements for natural ventilation and minimisation of confinement to prevent accumulation of flammable gases and explosions. • Fire detection and suppression systems. • Gas detection systems. • Emergency response plans, including the location of egress routes. This paper provides a case study of a battery thermal runaway event and demonstrates how the DNV Phast™ v8.22 software package and other calculation methods can be used to model the effects of battery thermal runaway events including toxic dispersion, fires and explosions. Furthermore, this paper demonstrates how these findings can be used to guide effective management strategies for personnel and asset safety.