Abstract
Once the safety of a biomass gasification unit is threatened, the leakage of syngas may result, which will have a great impact on humans, the environment, property and society. This study proposes a method for the risk assessment of biomass gasification units that integrates the DEMATEL-ISM with the CM-TOPSIS methods. The risk assessment process is divided into two stages. In the first stage, a directed hierarchical structure describing the relationships among accident factors can be obtained by using the DEMATEL-ISM method. The centrality, total degree and clustering coefficient are introduced to determine the weights of accident factors. The weight calculation results not only provide objectivity but also reflect the interrelationships among accident factors. In the second stage, CM-TOPSIS is used to calculate and prioritize the risks of accident factors. The results of risk values calculated by TOPSIS integrate the fuzziness and randomness of the assessment results of the CM, which can reduce the uncertainty of the results. More importantly, for high-risk factors, the directed hierarchical structure obtained in the first stage can be used to analyse the transmission routes of accident factors that lead to their occurrence. Finally, a case study and a comparative analysis are conducted to prove the effectiveness and applicability of the proposed method. The results show that pump and flow control valve failures are the highest risk accident factors. Moreover, the transmission routes that cause pump failure are determined and analysed for the purpose of safe production.
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Abbreviations
- AD:
-
Automatic ignition device
- AHP:
-
Analytic hierarchy process
- B :
-
Direct influence matrix
- BN:
-
Bayesian network
- C :
-
Normalized direct influence matrix
- CC:
-
Control cabinet
- CDS:
-
Cyclone dust separator
- CM:
-
Cloud model
- \(\widetilde{c}_{i}\) :
-
Clustering coefficient
- DEMATEL:
-
Decision-making Trial and Evaluation Laboratory
- \(\widetilde{d}_{i}^{out}\) :
-
Out-degree
- \(\widetilde{d}_{i}^{in}\) :
-
In-degree
- \(\widetilde{d}_{i}\) :
-
Total degree
- Ex :
-
Expected value
- En :
-
Entropy
- FMEA:
-
Failure mode and effects analysis
- FTA:
-
Fault tree analysis
- GWS:
-
Gas–water separator
- H :
-
Overall influence matrix
- He :
-
Hyper-entropy
- I :
-
Identity matrix
- ISM:
-
Interpretative Structural Modelling Method
- LRV:
-
Loop regulating valve
- M i :
-
Centrality
- N i :
-
Causality
- OPF:
-
Orifice plate flowmeter
- R i :
-
Reachable set
- R t :
-
Fuzzy direct influence matrix
- SPD:
-
Spray purification device
- SV:
-
Safety valve
- S i :
-
Antecedent set
- T :
-
Comprehensive influence matrix
- TFN:
-
Triangular fuzzy number
- TOPSIS:
-
Technique for order preference by similarity to an ideal solution
- V-1:
-
Flow regulating valve
- V-2:
-
Storage valve
- V-I:
-
Ignition butterfly valve
- W i :
-
Weight of accident factor
- λ :
-
Threshold
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This work was supported by the National Natural Science Foundation of China (Grant Number 52074066).
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JL: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Resources, Writing–original draft, Writing–review & editing, Visualization. KX: Conceptualization, Methodology, Writing–review & editing, Supervision, Project administration, Funding acquisition. JG: Methodology, Formal analysis, Writing–review & editing, Visualization. BF: Writing–review & editing.
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Li, J., Xu, K., Ge, J. et al. Development of a quantitative risk assessment method for a biomass gasification unit by combining DEMATEL-ISM and CM-TOPSIS. Stoch Environ Res Risk Assess 36, 1975–1991 (2022). https://doi.org/10.1007/s00477-021-02084-z
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DOI: https://doi.org/10.1007/s00477-021-02084-z