The technique consisted of process hazard identification based on critical events, barrier performance evaluation based on barrier diagrams, and quantification of risk influence factors based on Bayesian network. Reference developed a comprehensive technique to control the major hazards of the GE coal gasification process. Reference reported many accidents in gasification plants during the last 20 years in the world the researchers suggest that more careful concentration is needed during the design of the coal gasifier and the preparation of the constructed gasifier operation.
There also have been some researches regarding security problem in coal gasification process. Therefore, as the key equipment of water-coal slurry gasification, it is necessary to analyze and describe the risk factors of the gasifier in this paper. The syngas is an inflammable and explosive mixed gas, so once an accident happens, it will not only lead to property loss, but also cause casualties and even environmental pollution. The water-coal slurry gasification process is under simultaneous conditions of high temperature and high pressure water-coal slurry and oxygen undergo a fierce redox reaction in the gasifier and generate syngas. With widespread and successful applications, this technology has greatly promoted the development of the coal chemical industry in China. Coal gasification is a new industry China's shortage of oil and gas resources can be remedied by developing a safe, green, and environmentally coal gasification. China is a typical “rich coal, lean oil, and low gas” country coal energy accounts for more than 65% from the perspective of energy structure.
IntroductionĬoal gasification plays an important role in human history, and this technology has been widely developed throughout the world, especially after the oil crisis in the 1970s. And it also has important theoretical significance and application value for coal chemical industry to improve the scientificity of risk assessment. The results showed that dynamic risk assessment can solve the difficulties dealing with complex dynamic systems which have process variables and characteristics such as multiple, failure correlations, and noncoherence. In the meantime, in order to cope with the uncertainty of the failure data, fuzzy numbers and the defuzzification method are used to transform the experts' language into the failure rates. This paper presents a newly developed model based on Dynamic Bow-Tie (DBT) and Dynamic Bayesian network (DBN) for quantitative dynamic risk assessment of gasifier system. Traditional safety analysis methods such as fault tree and bow-tie diagram suffer from drawbacks as being static and ineffective in handling uncertainty, which hamper their application to risk analysis of process systems. The technical characteristics of this system mainly lie in the following facts as huge technical scale and high complexity, and there is a dynamic correlation between the failure modes of gasification equipment. Gasifier system is one of the important components of coal gasification device.