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Health Monitoring of Pressure Regulating Stations in Gas Distribution Networks Using Mathematical Models

Shivom Sharma, Iftekhar A. Karimi (), Shamsuzzaman Farooq (), Lakshminarayanan Samavedham and Rajagopalan Srinivasan
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Shivom Sharma: Department of Chemical & Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore
Iftekhar A. Karimi: Department of Chemical & Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore
Shamsuzzaman Farooq: Department of Chemical & Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore
Lakshminarayanan Samavedham: Department of Chemical & Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore
Rajagopalan Srinivasan: Department of Chemical Engineering, Indian Institute of Technology Madras, Chennai 600036, India

Energies, 2022, vol. 15, issue 17, 1-16

Abstract: Many cities have extensive distribution networks that supply natural or town gas to domestic, industrial, and power plant consumers. A typical network may have hundreds of pressure regulating stations that are of different types and capacities, but most legacy networks are sparsely instrumented. The reliability of these stations is the first priority for ensuring uninterrupted gas supplies; hence, condition monitoring and prescriptive maintenance are critical. In this study, mathematical models were developed for two types of commonly used regulators: spring-loaded and lever-type regulators. We also considered three faults that are typically of interest: filter choking, valve seat damage, and diaphragm deterioration. The proposed methodologies used the available measured data and mathematical models to diagnose faults, track prognoses, and estimate the remaining useful life of the regulators. The applicability of our proposed methodologies was demonstrated using real data from an existing distribution network. To facilitate industrial use, the methodologies were packaged into a user-friendly dashboard that could act as an interface with the operational database and display the health status of the regulators.

Keywords: pressure regulating station; gas distribution network; first principles modeling; prescriptive maintenance; health monitoring (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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