Article
Version 1
Preserved in Portico This version is not peer-reviewed
Fuel Gas Network Synthesis Using Block Superstructure
Version 1
: Received: 3 February 2018 / Approved: 5 February 2018 / Online: 5 February 2018 (03:33:19 CET)
A peer-reviewed article of this Preprint also exists.
Li, J.; Demirel, S.E.; Hasan, M.M.F. [-25]Fuel Gas Network Synthesis Using Block Superstructure. Processes 2018, 6, 23. Li, J.; Demirel, S.E.; Hasan, M.M.F. [-25]Fuel Gas Network Synthesis Using Block Superstructure. Processes 2018, 6, 23.
Abstract
Fuel gas network (FGN) synthesis is a systematic method for reducing fresh fuel consumption in a chemical plant. In this work, we address the synthesis of fuel gas network using block superstructure originally proposed for process design and intensification (Demirel et.al. [1]). Instead of a classical source-pool-sink superstructure, we consider a superstructure with multiple feed and product streams. These blocks interact with each other through direct flows that connect a block with its adjacent blocks and through jump flows that connect a block with all blocks. The blocks with feed streams are viewed as fuel sources and the blocks with product streams are regarded as fuel sinks. Addition blocks can be added as pools when there exists intermediate operations among 9 source blocks and sink blocks. These blocks can be arranged in a I × J two-dimensional grid with I = 1 for problems without pools, or I = 2 for problems with pools. J is determined by the maximum number of pools/sinks. With this representation, we formulate fuel gas network synthesis problem as a mixed-integer nonlinear (MINLP) problem to optimally design a fuel gas network with minimal total annul cost. We present a real-life case study from LNG plant to demonstrate the capability of the proposed approach.
Keywords
process integration; fuel gas network synthesis; block superstructure; optimization; MINLP
Subject
Engineering, Control and Systems Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment
