Nowadays, most Battery Energy Storage Systems (BESS) powered by an electrochemical technology such as Li-ion are required to integrate an explosion control and prevention system. One method available relies on a Combustible Concentration Reduction (CCR) approach which consists of detecting a release of vented gases and exhausting them to the atmosphere. CCR systems are designed to maintain the average concentration of flammable gases inside an enclosed compartment below a set threshold of the Lower Flammability Limit (LFL) of the vented gas mixture (usually 25%) in the event of a venting or thermal runaway incident.
A CCR design relies on assumptions and calculations whose accurate knowledge of the respective uncertainties is critical to validate its performance. The aim of this presentation is to discuss the results of a sensitivity and uncertainty analysis of a CCR design methodology aimed to identify the essential parameters of the calculation and evaluate how the uncertainty related to their determination can impact the design performance of the CCR system.