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2021 | Book

Process Plant Operating Procedures

Synthesis, Simulation and Abnormal Situation Management

Authors: Prof. Chuei-Tin Chang, Prof. Hao-Yeh Lee, Prof. Vincentius Surya Kurnia Adi

Publisher: Springer International Publishing

Book Series : Advances in Industrial Control

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About this book

Process Plant Operating Procedures presents an introduction to the theory and applications of procedure synthesis that is primarily concerned with the task of conjecturing the sequence of controller (or operator) actions needed to achieve designated operational goals in a given system. In order to facilitate practical implementation, the formal problem statement, two alternative approaches, their validation methods and a series of realistic examples are provided.

The authors explore Petri nets and automata to identify the best paths leading to the specified goal of operation. The model-building methods for characterising all components in the given system, as well as the required control specifications, are explained with simple examples. The sequential control actions and the corresponding time schedule can then be identified accordingly.

This book exposes practitioners to an important area of plant operations, teaching them effective approaches for procedure synthesis, enabling them to construct and solve scheduling models, and providing them with tools for simulation and validation of procedures and schedules. It is written for readers with a basic understanding of process design and control activities, and it will appeal to engineers in diverse fields with an interest in synthesizing operating procedures in process plants.

Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Table of Contents

Frontmatter
Chapter 1. Introduction
Abstract
Standard operating procedures (SOPs) are indispensable for running chemical plants.
Chuei-Tin Chang, Hao-Yeh Lee, Vincentius Surya Kurnia Adi
Chapter 2. Heuristic Approach to Procedure Synthesis
Abstract
Heuristic rules are the accumulation of the experiences
Chuei-Tin Chang, Hao-Yeh Lee, Vincentius Surya Kurnia Adi
Chapter 3. Model-Based Approach to Procedure Synthesis
Abstract
As mentioned before, any operating procedure in the process plant can be unambiguously described with a process flow diagram (PFD) or a piping and instrumentation diagram (P&ID) and a sequential function chart (SFC).
Chuei-Tin Chang, Hao-Yeh Lee, Vincentius Surya Kurnia Adi
Chapter 4. Normal Operating Procedures Based on Dynamic Simulations
Abstract
Startup procedure of DC is one of the most complicated dynamic operations in the chemical industry. This procedure is energy and time consuming, and the process is unproductive during this transient period before reaching steady state.
Chuei-Tin Chang, Hao-Yeh Lee, Vincentius Surya Kurnia Adi
Chapter 5. Petri Net-Based Operating Procedures
Abstract
The mathematical representation of the ordinary Petri net is provided by (Peterson,.Petri Net Theory and Modeling of Systems, Prentice-Hall, Englewood Cliffs, New Jersey, 1981).
Chuei-Tin Chang, Hao-Yeh Lee, Vincentius Surya Kurnia Adi
Chapter 6. Normal Operating Procedures Obtained with Untimed Automata
Abstract
As mentioned before, other than the process flow diagram (PFD) and the piping and instrumentation diagram (P&ID), the sequential function chart (SFC) of every standard operating procedure (SOP) should also be documented for process design.
Chuei-Tin Chang, Hao-Yeh Lee, Vincentius Surya Kurnia Adi
Chapter 7. Normal Operating Procedures Obtained with Timed Automata
Abstract
As mentioned in the previous chapter, an operating procedure should be synthesized according to the initial system state and also the ultimate goal.
Chuei-Tin Chang, Hao-Yeh Lee, Vincentius Surya Kurnia Adi
Chapter 8. Generation of Test Plans for Fault Diagnosis with Untimed Automata
Abstract
Unexpected failures in a chemical plant often result in undesirable consequences.
Chuei-Tin Chang, Hao-Yeh Lee, Vincentius Surya Kurnia Adi
Chapter 9. Synthesis of Diagnostic Tests Based on Timed Automata
Abstract
A large number of high value-added chemical products, such as the specialty chemicals, foods, semiconductors, and pharmaceuticals, etc., are often manufactured in complex but flexible batch or sequential processes. Hardware failures are random but inevitable events over the lifespan of any such plant. If the root causes of a failure-induced event sequence cannot be correctly identified in time, the final consequences may be catastrophic. Generally speaking, the overall performance of a diagnostic system can be improved by capturing more online data. To this end, the obvious design strategy is to install additional sensors. However, since new hardware inevitably requires extra spending and, also, the related issues have already been discussed extensively in the literature, there are incentives to develop an alternative means for enhancing diagnostic resolution without capital investment. Yeh and Chang (2011) proposed to implement online test procedures for such a purpose, while Kang and Chang (2014) later developed an effective procedure-synthesis method to conjecture the diagnostic tests according to untimed automata.
Chuei-Tin Chang, Hao-Yeh Lee, Vincentius Surya Kurnia Adi
Chapter 10. Synthesis of Diagnostic Test Plans Based on Hybrid Automata
Abstract
Unexpected faults and failures in a chemical plant may result in catastrophic consequences. The offline practices of hazard assessment can reduce the expected loss of accidents only to a certain extent, while online fault diagnosis is an alternative option for further improving plant safety.
Chuei-Tin Chang, Hao-Yeh Lee, Vincentius Surya Kurnia Adi
Backmatter
Metadata
Title
Process Plant Operating Procedures
Authors
Prof. Chuei-Tin Chang
Prof. Hao-Yeh Lee
Prof. Vincentius Surya Kurnia Adi
Copyright Year
2021
Electronic ISBN
978-3-030-70978-5
Print ISBN
978-3-030-70977-8
DOI
https://doi.org/10.1007/978-3-030-70978-5

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