Please use this identifier to cite or link to this item:
Title: Modeling and Simulation of Gas Pipeline Network for Operational and Infrastructural Decisions
Authors: Lone, S.
Ramzan, N.
Rashid Saleemi, A.
Karimi, I.A. 
Keywords: Gas transmission networks
Hydraulic simulation
Operation optimization
Operational Strategy
Issue Date: 2009
Citation: Lone, S.,Ramzan, N.,Rashid Saleemi, A.,Karimi, I.A. (2009). Modeling and Simulation of Gas Pipeline Network for Operational and Infrastructural Decisions. Computer Aided Chemical Engineering 26 : 453-458. ScholarBank@NUS Repository.
Abstract: Sui Northern Gas Pipelines Limited (SNGPL), the largest integrated gas company in Pakistan, operates the transmission system that has an annual throughput of around 575 BSCF (16.3 bscm) comprising over 3700 miles (6000 km). Thus, SNGPL needs a medium to long-term operational strategy to effectively cater for the existing and projected gas demand. In this article, the operational strategy developed on the basis of results from steady state and transient simulations of the entire gas network on a hydraulic simulator is presented. This paper also analyses various ways in which the input gas supply/demand data to the hydraulic simulator is utilized to predict the optimized operation of the gas pipeline network and infrastructure expansion requirements. The main objective is to identify infrastructure development priorities with a focus on optimizing the flow patterns from various gas fields to the demand centers utilizing the existing infrastructure, while taking into account the characteristics of the gas in individual fields; optimizing incremental expansion of the existing gas transport infrastructure to save on transmission investments. Furthermore, various options for minimizing the fuel consumption throughout the transmission network without compromising the demands from potential consumers are identified. The study furnishes SNGPL with the information required to make critical decisions for the operation of existing pipeline network and also helps in developing their future strategy of infrastructure development. © 2009 Elsevier B.V. All rights reserved.
Source Title: Computer Aided Chemical Engineering
ISBN: 9780444534330
ISSN: 15707946
DOI: 10.1016/S1570-7946(09)70076-8
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Apr 20, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.