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Multiobjective Design of Calorific Value Adjustment Process using Process Simulators
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DOI：10.1021/ie901685m.png)
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In this work, we present a solution procedure for design of a chemical process for effectively adjusting calorific values in an offshore regasification terminal. To tackle the technical and commercial issue in the liquefied natural gas (LNG) industry caused by differences of LNG calorific values between importing countries, many methods and coil figurations are being studied. This design problem is defined in two parts: a generalized disjunctive programming (GDP) problem with one objective and a multiobjective problem for minimizing the operating costs and the performance of natural gas liquids (NGLs). First, the GDP problem has been mathematically reformulated as a mixed-integer nonlinear programming (MINLP) problems, and the MINLP technique incorporated into the process simulator using its own optimization capabilities has been suggested. For solving the resulting bicriterion problem with the MINLP problem, we have suggested the heuristic procedure that reduces the number of discrete solutions which are necessary for complete Pareto optimal sets. The complete Pareto optimal sets for a new calorific value adjustment process under three feedstock scenarios are generated.
Keyword:
MODULAR SIMULATOR
OPTIMIZATION
SYNTHESIZER
UNCERTAINTY
ALGORITHM
STRATEGY
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3.9
论文数:
4.0W
被引数:
9.6W
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