Hydrogen and CO2 Management in the Refinery with Fuzzy Multiobjective Nonlinear Programming
Mohammad Reza Sardashti Birjandi
University of Sistan and Baluchestan, Department of Chemical Engineering, Daneshgah Street, 98164-161 Zahedan, Iran
Search for more papers by this authorCorresponding Author
Farhad Shahraki
University of Sistan and Baluchestan, Department of Chemical Engineering, Daneshgah Street, 98164-161 Zahedan, Iran
Correspondence: Farhad Shahraki ([email protected]), University of Sistan and Baluchestan, Department of Chemical Engineering, Daneshgah Street, Zahedan 98164-161, Iran.Search for more papers by this authorKiyanoosh Razzaghi
University of Sistan and Baluchestan, Department of Chemical Engineering, Daneshgah Street, 98164-161 Zahedan, Iran
Search for more papers by this authorMohammad Reza Sardashti Birjandi
University of Sistan and Baluchestan, Department of Chemical Engineering, Daneshgah Street, 98164-161 Zahedan, Iran
Search for more papers by this authorCorresponding Author
Farhad Shahraki
University of Sistan and Baluchestan, Department of Chemical Engineering, Daneshgah Street, 98164-161 Zahedan, Iran
Correspondence: Farhad Shahraki ([email protected]), University of Sistan and Baluchestan, Department of Chemical Engineering, Daneshgah Street, Zahedan 98164-161, Iran.Search for more papers by this authorKiyanoosh Razzaghi
University of Sistan and Baluchestan, Department of Chemical Engineering, Daneshgah Street, 98164-161 Zahedan, Iran
Search for more papers by this authorAbstract
An innovative approach for optimization of the hydrogen network in a refinery is presented. The optimization problem was formulated as a fuzzy-based multiobjective nonlinear programming (FMONLP), aiming at simultaneous minimization of the total annual cost and CO2 emission. This is achieved by defining an objective function with a weighted sum of the annual cost and CO2 emission. The weighting factors are considered as fuzzy parameters which are described based on the experts' experiences. The applicability of the proposed approach is illustrated by optimization of an Iranian refinery hydrogen network.
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