An integrated analysis method for anaerobic reactor leakage and explosion risk

To strengthen the development and utilization of renewable energy and ensure the safe operation of biogas projects, this paper proposed a risk quantification method based on Fault Tree Analysis - Qualitative Comparative Analysis - Bayesian Neural Network - Computational Fluid Dynamics simulation, which is a risk analysis model of "Technology - Management - Probability - Consequence" with multiple dimensions and interdisciplinary integration. Firstly, the Fault Tree analysis was used to analyze the causes of the anaerobic reactor leakage and explosion accidents. Secondly, Qualitative Comparative Analysis was used to find out the necessary conditions and combination path of anaerobic reactor leakage and explosion accidents in management aspect. Next, the Bayesian Neural Network model was used to predict accidents frequency distribution. The frequency range was 0.315–0.380, and the uncertainty of the prediction results was given. Then, CFD simulation was used to simulate the leakage consequences of the manhole and the top biogas pipeline of the anaerobic reactor in windy and windless conditions, and the methane diffusion distribution after leakage was explored. Finally, according to results, an improved explosion hazard area and level division way was proposed.