Global optimization for the synthesis of integrated water systems in chemical processes

By R. Karuppiah, Ignacio E. Grossmann. Computers and Chemical Engineering, 2006

441 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/5444907c5d5125aed9a29a1af8a315f7550e59cf

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In Control and Systems Engineering

In Water Science and Technology

Citations in the corpus

Mixed-integer nonlinear optimization*† (2013, background): “MINLP also arise in many chemical engineering applications, such as the design of water (Bragalli et al., 2006; Karuppiah and Grossmann, 2006) and gas (Martin et al.”
A new approach for global optimization of a class of MINLP problems with applications to water management and pooling problems (2012, methodology): “- Convex envelopes(31) as used by Karuppiah and Grossmann.(30) To deal with the product of continuous variables and binary variables, we consider three variants of each procedure.”
ANTIGONE: Algorithms for coNTinuous / Integer Global Optimization of Nonlinear Equations (2014, background): “Sequences 1 X [28–31] Heat Exchanger Networks 3 X [47, 146] Metabolic Networks 2 X [66, 67] Multi-Product Batch Plants 2 X [65, 74, 148] Periodic Scheduling 13 X [33, 34] Pooling 19 X [106] Supply Chain Design 2 X [147, 149] Three-Echelon Supply Chain 8 X [114, 115, 150] Unit Commitment 2 X [112, 15”
GloMIQO: Global mixed-integer quadratic optimizer (2012, methodology): “Following the recommendation Water systems 8 [9,10,73,114] Crude oil scheduling 31 [78,80,81,102,103] Natural gas production 3 [82,83,123] Computational geometry Point 14 [16] Circles & convex polygons 36 [72] Test libraries GLOBALLib 187 [59,92] MINLPLib 39 [37,59] Convex MIQCQP 20 [32,120]…”
A review of recent advances in global optimization (2009, background): “Karuppiah and Grossmann (2006) addressed the problem of optimal synthesis of an integrated water system, where water using processes and water treatment operations are jointly taken into account.”
Piecewise-Linear Approximations of Multidimensional Functions (2010, methodology): “Meyer and Floudas [25] and Karuppiah and Grossmann [ 26 ] took advantage of the special structure of bilinear terms to partition the domain and construct piecewise-linear underestimators that strengthened the lower bound on the generalized pooling and integrated water systems problems, respectively.”