Automatic Model-Based Soft Sensor Generation for Liquefied Natural Gas Terminal Pipeline

Title
Automatic Model-Based Soft Sensor Generation for Liquefied Natural Gas Terminal Pipeline
Authors
이웅Sangho LeeJaehum JungChansaem ParkChonghun Han
Issue Date
2014-09
Publisher
Industrial & engineering chemistry research
Citation
VOL 53, NO 39-15051
Abstract
A liquefied natural gas (LNG) receiving terminal is a facility to receive, store, and produce natural gas to demand. In the terminal, there are many pipelines that carry LNG, which is dangerous when it evaporates, but the number of sensors are not sufficient to monitor the property of fluids at all position of pipeline because of the cost of sensors. To solve the data insufficiency problem, a methodology for automatic model based soft sensor generation is proposed in this paper. This methodology is composed of positional iformation extraction, automatic model formulation, and simulation with minimum erros. With the software based on this methodology, even the user who does not have a chemical or mathematical background can monitor the fluid property at whole terminal pipelines. For validation, the methodology is applied to an LNG terminal unloading pipeline, and it showed good accuracy and accessibility of various data types.
URI
http://pubs.kist.re.kr/handle/201004/70728
ISSN
0888-5885
Appears in Collections:
KIST Publication > Article
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