Profit optimization for chemical process plant based on a probabilistic approach by incorporating material flow uncertainties

Title
Profit optimization for chemical process plant based on a probabilistic approach by incorporating material flow uncertainties
Author(s)
이문용메스핀[메스핀]스와미[스와미]
Keywords
OPERATIONAL FLEXIBILITY; DEMAND UNCERTAINTY; PROCESS DESIGN; INDEX
Issue Date
201312
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Citation
COMPUTERS & CHEMICAL ENGINEERING, v.59, pp.186 - 196
Abstract
This paper reports how the economic performance of a chemical process plant is affected by material flow uncertainties from the plant inlet and outlet. Two chance-constrained optimization models were proposed. The models were tested using case studies of an existing gas processing plant. Profit optimization for the case studies was made with respect to the reliability of holding the process constraints at a certain confidence level [0.5, 1]. The optimal profit change for uncertainty from the plant inlet within the confidence interval [0.96, 1] was 86%. On the other hand, the optimal profit change for uncertainty from the plant outlet was only 2% for the same confidence level interval considered. This suggests that the uncertainty from the plant inlet has a major impact on the overall economic performance of the plant. Sensitivity analysis showed how uncertain parameters from both plant sides can affect the overall profit significantly. (C) 2013 Elsevier Ltd. All rights reserved.
URI
http://hdl.handle.net/YU.REPOSITORY/28041http://dx.doi.org/10.1016/j.compchemeng.2013.05.026
ISSN
0098-1354
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공과대학 > 화학공학부 > Articles
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