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Optimal design of cryogenic air separation columns under uncertainty
2010
Computers and Chemical Engineering
Cryogenic air separation, while widely used in industry, is an energy intensive process. Effective design can improve efficiency and reduce energy consumption, however, uncertainties can make determination of the optimal design difficult. This paper addresses the conceptual design of cryogenic air separation process under uncertainty. A rigorous, highly nonlinear model of three integrated columns is developed to capture the coupled nature of the process. The multi-scenario approach is used to
doi:10.1016/j.compchemeng.2010.02.007
fatcat:53n2pngaqjaoxlb3gvo4ywe77a