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Title: Synthesizing optimal flowsheets; Applications to IGCC system environmental control

Journal Article · · Industrial and Engineering Chemistry Research; (United States)
DOI:https://doi.org/10.1021/ie00008a014· OSTI ID:7015079
; ;  [1]
  1. Carnegie-Mellon Univ., Pittsburgh, PA (United States). Dept. of Engineering and Public Policy

In this paper a new process synthesis capability implemented in the public version of the ASPEN chemical process simulator is demonstrated via an illustrative case study of a complex flowsheet. The objective of the case study is to minimize the cost of an advanced integrated gasification combined-cycle (IGCC) plant design featuring hot-gas cleanup, subject to environmental constraints. The problem is formulated as a mixed integer nonlinear programming (MINLP) optimization problem, involving the selection of both an optimal process configuration and optimal design parameters for that configuration. Performance and cost models of the IGCC system developed for the ASPEN simulator, along with the newly developed process synthesis capability, are used. As a first step, alternative in situ and external desulfurization are considered as process alternatives.

OSTI ID:
7015079
Journal Information:
Industrial and Engineering Chemistry Research; (United States), Vol. 31:8; ISSN 0888-5885
Country of Publication:
United States
Language:
English