Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/13122
Title: Deterministic global optimization approach to bilinear process network synthesis
Authors: DANAN SURYO WICAKSONO
Keywords: fuel gas network, piecewise under- and overestimators
Issue Date: 17-Dec-2007
Source: DANAN SURYO WICAKSONO (2007-12-17). Deterministic global optimization approach to bilinear process network synthesis. ScholarBank@NUS Repository.
Abstract: The thesis consists of two parts. In the first section, the optimal operation problem on an existing fuel gas network in a natural gas liquefaction plant is presented. A superstructure and a corresponding mathematical programming model are proposed. Efficient representation enables a commercial solver to locate the global optimal solution. The approach leads to the reduction in fuel-from-feed consumption. Further reduction is obtained through the integration of jetty boil-off gas as an additional fuel.In the second section, the idea of using ab inito partitioning of the search domain to improve the relaxation quality is discussed. Such idea relies on piecewise under- and overestimators. Novel modeling strategies via mixed-integer linear programming are proposed. They are evaluated using a variety of process network synthesis problems. Metrics are defined to measure the effectiveness of such technique along with some valuable insights on properties. Several theoretical results are presented as well.
URI: http://scholarbank.nus.edu.sg/handle/10635/13122
Appears in Collections:Master's Theses (Open)

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