Hydrogen and CO 2 Management in the Refinery with Fuzzy Multiobjective Nonlinear Programming

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 CO 2 emission. This is achieved by defi...

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Veröffentlicht in:Chemical engineering & technology 2019-09, Vol.42 (9), p.1941-1951
Hauptverfasser: Sardashti Birjandi, Mohammad Reza, Shahraki, Farhad, Razzaghi, Kiyanoosh
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container_end_page 1951
container_issue 9
container_start_page 1941
container_title Chemical engineering & technology
container_volume 42
creator Sardashti Birjandi, Mohammad Reza
Shahraki, Farhad
Razzaghi, Kiyanoosh
description 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 CO 2 emission. This is achieved by defining an objective function with a weighted sum of the annual cost and CO 2 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.
doi_str_mv 10.1002/ceat.201800422
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title Hydrogen and CO 2 Management in the Refinery with Fuzzy Multiobjective Nonlinear Programming
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