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• W117967014 abstract "Publisher Summary The chapter describes the way of energy cost minimization in an energy intensive industrial plant through mixed integer linear programming (MILP). It addresses the problem of determining the optimal operating schedule to minimize the operating cost in an energy intensive process separation plant. The difficulty arises from the fact that the energy cost is subject to high fluctuations and thereby significantly increasing the total production cost in the plant. To deal with such cost variability, the plant can operate in three different modes (modes A, B, and C) that vary with respect to operation efficiency and energy requirements. The nonlinearities in a problem arise only in the objective function. Quadratic relationships are chosen for this study to assure model convexity. Two algorithmic procedures are used for the solution of the proposed MINLP model are presented in the chapter—namely, the generalized benders decomposition (GBD) algorithm and the omer approximation (OA) solution approach." @default.
• W117967014 created "2016-06-24" @default.
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• W117967014 date "2000-01-01" @default.
• W117967014 modified "2023-09-26" @default.
• W117967014 title "Energy cost minimization in an energy intensive industrial plant: an MINLP approach" @default.
• W117967014 cites W1482279530 @default.
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• W117967014 doi "https://doi.org/10.1016/s1570-7946(00)80017-6" @default.
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