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| A HAZOP-LOPA-based Design Method for Safety Instrumented Systems in the Recovery Combustion Section of Alkali Recycling Processes |
| Received:July 02, 2025 Revised:July 23, 2025 |
| DOI：10.11980/j.issn.0254-508X.2026.01.019 |
| Key Words:alkali recovery combustion section HAZOP-LOPA safety integrity level safety instrument system risk quantification |
| Fund Project:国家自然科学基金（62073206）；西安市科技计划项目（2020KJRC0146）。 |
| Author Name | Affiliation | Postcode | | TANG Wei* | College of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi Province, 710021
Shaanxi Xiwei Process Automation Engineering Co., Ltd., Xianyang, Shaanxi Province,712000 | 712000 | | ZHENG Xiaohu* | College of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi Province, 710021 | 710021 | | WANG Mengxiao | Shaanxi Xiwei Process Automation Engineering Co., Ltd., Xianyang, Shaanxi Province,712000 | 712000 | | WANG Qilin | Shaanxi Xiwei Process Automation Engineering Co., Ltd., Xianyang, Shaanxi Province,712000 | 712000 |
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| Abstract:In response to the problems of fragmented risk analysis and insufficient quantitative evaluation in the current design methods of safety instrumented systems (SIS) in the paper industry, this paper took the SIS design of the steam drum control part in the alkali recovery combustion section as an example and proposed a SIS grading and design method based on hazard and operability analysis-layer of protection analysis (HAZOP-LOPA). Firstly, the process noded of the alkali recovery combustion section were divided, and a corresponding two-dimensional risk matrix of risk probability consequence was designed. The potential deviations and risk scenarios of this section were systematically identified through the HAZOP method, and an independent protection layer quantification model was constructed by combining LOPA. Then, based on the risk transmission characteristics, a layer of protection analysis-safety integrity level (LOPA-SIL) dynamic mapping relationship was established to reasonably classify the level of the SIL. Finally, the SIL was designed according to the classification results, and the effectiveness of the system was verified through indicators such as system failure probability and residual risk value. The results showed that this method could successfully identify two high-risk scenarios and determine the need to add SIS of SIL2. After improvement, the risk probability was successfully reduced to an acceptable level for the enterprise (<1.0×10-6/year). |
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