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Advanced process control system with MPC as a new approach for layer of protection analysis
Institution:1. School of Petrochemical Technology Beijing, Beijing, 102627, China;2. Beijing Institute of Safety Production Engineering and Technology, Beijing, 102627, China;3. Beijing Gas Changping Co., Beijing, 102200, China;4. University of Science and Technology Kunming, Kunming, 650031, China;1. Swiss Process Safety Consulting GmbH, Schönenbuchstrasse 36, CH-4123, Allschwil, Switzerland;2. Covestro Deutschland AG, Kaiser-Wilhelm-Allee 101–103, D-51373, Leverkusen, Germany;1. Department of Chemical, Materials & Production Engineering, University of Naples Federico II, Naples, Italy;2. CNR, Institute of Sciences and Technologies for Sustainable Energy and Mobility (STEMS), Naples, Italy
Abstract:Layer of protection analysis (LOPA) is a widely used method to support process safety in the chemical industries. In the LOPA, the process is classified into many layers, one of such layers considers the basic process control system (BPCS) which commonly uses PID controllers. This kind of controllers cannot deal with constraints. For this reason, the main purpose of this work is to provide a framework to enhance the control layer in the LOPA, which consists of a model predictive control (MPC) with safety features. These features include: sublayers in the controller system (such as real time optimization, target calculation, and MPC), safety constraints, and guarantee of stability by adopting an Infinite Horizon MPC (IHMPC). Here, we propose an approach for control-inspired view to process safety, replacing the BPCS by an Advanced Process Control System (APCS). Moving forward with these concepts, first, a literature review emphasizes the content, showing two perspectives for the APCS. The APCS is designed for two varieties of controllers, a basic IHMPC and IHMPC with zone control to compare the performance. In this framework, the first sublayer consists of a real time optimization (RTO) structure, that calculates the optimal operating condition for the process controller, which computes the control action. Besides, RTO has an additional constraint called the safety index, based on the protection of process operational. RTO and basic IHMPC communicate directly, while for IHMPC with zone control there is an inner sublayer called Target Calculation, it computes a feasible target to the controller, working as another safety strategy in APCS. After that, we demonstrate both structures applied to a CSTR reactor. From the case study, we compared both controllers, and evaluated the effect that the safety index constraint causes in the setpoints, outputs, and control actions. The use of safety constraint in RTO proved to be a safe strategy for the control layer, as well as IHMPC with zone control presented a safer profile than basic IHMPC. Furthermore, the results show that safety constraint affect the economic goal, decreasing its value.
Keywords:Model predictive control  IHMPC with zone control  Advanced process control system  Safety constraints  Real time optimization  Layer of protection
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