Mesfin, G. and Shuhaimi, M. (2010) A chance constrained approach for a gas processing plant with uncertain feed conditions. Computers and Chemical Engineering, 34 (8). pp. 1256-1267. ISSN 00981354
Full text not available from this repository.Abstract
In this work, we propose a new optimization model for gas processing plant under uncertain feed flow rate and composition. Deterministic model has initially being formulated; subsequently, linear steady state chance constrained models with time-dependent uncertainties under single and joint chance constraints have been developed. The chance constrained models have then been converted to their equivalent deterministic form so as to be solved. Case study has been taken for real plant to effectively implement the proposed model. The solution from the optimization provides prior-decision for the in-operation plant to produce the desired product at certain confidence level by satisfying the process constraints. Sensitivity analysis has been made to see the effect of each uncertain feed component flows. Final computational results ratify the need of taking optimal decisions using the chance constrained approach which comprises the profitability and reliability of the process compared to deterministic, " worst case" , and two-stage programming approaches. © 2010 Elsevier Ltd.
Item Type: | Article |
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Additional Information: | cited By 23 |
Uncontrolled Keywords: | Chance constraint; Chance constraints; Chance-constrained approach; Chance-constrained model; Computational results; Confidence levels; Deterministic models; Feed components; Feed flow rate; Gas processing plant; Optimal decisions; Optimization models; Process constraints; Steady state; Time-dependent; Two stage; Worst case, Gas producers; Profitability; Sensitivity analysis, Optimization |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:49 |
Last Modified: | 09 Nov 2023 15:49 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/1199 |