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- W2969735369 abstract "Despite the large advances in computational tools attained by the Process Systems Engineering community, industry for the most part still performs basic design of process equipment using trial-and-verification procedures guided by heuristic rules. In this opinion article, we present a discussion on how to depart from the use of these heuristics-based procedures, most step-by-step, sometimes computer-aided. We believe that there are direction changes, some incipient and some in full development already, toward the use of optimization tools for the task. The academic literature is dominated by mixed-integer nonlinear models, solved using different techniques (mostly stochastic or mathematical programming-based). These procedures have practical limitations that have hindered the migration of practitioners away from current heuristics and simplified model-based tools. We discuss these drawbacks and propose solutions. We first show how the use of commercially available discrete values of the design geometrical..." @default.
- W2969735369 created "2019-08-29" @default.
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- W2969735369 date "2019-08-20" @default.
- W2969735369 modified "2023-09-25" @default.
- W2969735369 title "<i>110th Anniversary</i>: On the Departure from Heuristics and Simplified Models toward Globally Optimal Design of Process Equipment" @default.
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- W2969735369 doi "https://doi.org/10.1021/acs.iecr.9b02611" @default.
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