Simulation & data validation of small-scale LNG system

Liquefaction of natural gas is a process where the natural gas was condensed to a liquid through a cooling process and the original volume of natural gas is being converted into liquefied natural gas by a factor of more than 600 which allows for its efficient transport and storage. There are three...

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Main Author:	Roslina, Sapuan
Format:	Undergraduates Project Papers
Language:	English
Published:	2008
Subjects:	TP Chemical technology
Online Access:	http://umpir.ump.edu.my/id/eprint/529/ http://umpir.ump.edu.my/id/eprint/529/ http://umpir.ump.edu.my/id/eprint/529/1/Roslina_Sapuan.pdf

id	ump-529
recordtype	eprints
spelling	ump-5292015-03-03T06:03:57Z http://umpir.ump.edu.my/id/eprint/529/ Simulation & data validation of small-scale LNG system Roslina, Sapuan TP Chemical technology Liquefaction of natural gas is a process where the natural gas was condensed to a liquid through a cooling process and the original volume of natural gas is being converted into liquefied natural gas by a factor of more than 600 which allows for its efficient transport and storage. There are three basic types of liquefaction methods, which are i) classic cascade cycle, ii) cascade cycle with mixed coolant and iii) decompression cycle with a turbo-expander. However, mixed-refrigerant (MR) process is preferred, because the MR process is simple, low equipment count and can reduce hydrocarbon inventory. The study is based on Cao et al. (2005), where the flowsheet showed incomplete process data. Based on this, the material and energy (M&E) balance can not be established. Such establishment is important to analyze the performance of the existing LNG system and to propose appropriate modification. The objective of this study is to overcome the problem arise in the Cao’s system by simulate and validating the result from MRC process. For this study, the method of analysis that will be used is the structural decomposition approach. This method has been chosen because it is difficult to converge the LNG exchanger units without enough or complete process data. With this approach, a simulation of the system can be done by using the HYSYS software, which includes the use of Peng-Robinson (PR) and Lee-Kesler-Plocker (LKP) equations of states. Also, the other method that has been applied is sum square error (SSE). Since simulation and data validation processes are based on estimation, it will produce errors. The first trial with the value for pressure drop of each cooler and heater units is 15 kPa produces the smallest error among other trials. So, the process data in this trial have the highest possibility to represent the MRC in Cao’s system. 2008-05 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/529/1/Roslina_Sapuan.pdf Roslina, Sapuan (2008) Simulation & data validation of small-scale LNG system. Faculty of Chemical & Natural Resources Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:31102&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TP Chemical technology
spellingShingle	TP Chemical technology Roslina, Sapuan Simulation & data validation of small-scale LNG system
description	Liquefaction of natural gas is a process where the natural gas was condensed to a liquid through a cooling process and the original volume of natural gas is being converted into liquefied natural gas by a factor of more than 600 which allows for its efficient transport and storage. There are three basic types of liquefaction methods, which are i) classic cascade cycle, ii) cascade cycle with mixed coolant and iii) decompression cycle with a turbo-expander. However, mixed-refrigerant (MR) process is preferred, because the MR process is simple, low equipment count and can reduce hydrocarbon inventory. The study is based on Cao et al. (2005), where the flowsheet showed incomplete process data. Based on this, the material and energy (M&E) balance can not be established. Such establishment is important to analyze the performance of the existing LNG system and to propose appropriate modification. The objective of this study is to overcome the problem arise in the Cao’s system by simulate and validating the result from MRC process. For this study, the method of analysis that will be used is the structural decomposition approach. This method has been chosen because it is difficult to converge the LNG exchanger units without enough or complete process data. With this approach, a simulation of the system can be done by using the HYSYS software, which includes the use of Peng-Robinson (PR) and Lee-Kesler-Plocker (LKP) equations of states. Also, the other method that has been applied is sum square error (SSE). Since simulation and data validation processes are based on estimation, it will produce errors. The first trial with the value for pressure drop of each cooler and heater units is 15 kPa produces the smallest error among other trials. So, the process data in this trial have the highest possibility to represent the MRC in Cao’s system.
format	Undergraduates Project Papers
author	Roslina, Sapuan
author_facet	Roslina, Sapuan
author_sort	Roslina, Sapuan
title	Simulation & data validation of small-scale LNG system
title_short	Simulation & data validation of small-scale LNG system
title_full	Simulation & data validation of small-scale LNG system
title_fullStr	Simulation & data validation of small-scale LNG system
title_full_unstemmed	Simulation & data validation of small-scale LNG system
title_sort	simulation & data validation of small-scale lng system
publishDate	2008
url	http://umpir.ump.edu.my/id/eprint/529/ http://umpir.ump.edu.my/id/eprint/529/ http://umpir.ump.edu.my/id/eprint/529/1/Roslina_Sapuan.pdf
first_indexed	2023-09-18T21:52:50Z
last_indexed	2023-09-18T21:52:50Z
_version_	1777413883899674624

Simulation & data validation of small-scale LNG system

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