In the wastewater industry, processing sewage sludge into stable biosolids for agricultural recycling is crucial in the circular economy. This process generates biogas, used to produce steam, electricity, and heat through Combined Heat and Power (CHP) systems. However, biogas storage and handling pose significant explosion risks, threatening process safety, environmental health, and asset integrity. Despite advancements, existing explosion models can be expensive, at times overly complex, limiting access and leading to inadequate safety protocols. Our Python-based model addresses these challenges by enhancing the accessibility of predictive accuracy of dispersion and explosion consequence modelling.

The model profiles radiation or heat, gas concentration, and pressure energy in the event of a major accident or loss of containment, determining safe distances for occupied buildings like offices, labs, and workshops, following OBRA guidelines from the Chemical Industry Association in Europe and the UK. It is also valuable in project revamps and new water recycling projects, identifying optimal locations for flare stacks, chimney stacks, and boilers - sources of ignition that must be located at distances below the biogas's lower flammability level (LFL). This is inherent safety designed into the projects. Additionally, it aids in selecting and optimizing ATEX electrical equipment installed in bioresources processing facilities.

Innovative, accurate, and economically accessible due to advances in programming, the Python model can be hosted and run locally and cheaper within organizations, enhancing safety and efficiency in bioresources operations.