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Steady state optimization is performed for the design of the column system and the selection of the configuration with the minimum total annualized costs.
Adaptation is based on the agreement maximization framework, whose aim is to find the configuration with the highest similarity between the channel results.
Results obtained from simulations showed that the configuration with the lowest performance was that of only one serial-parallel group, whereas the highest efficiency corresponded to a design of groups of modules in parallel connected then in series.
The results showed that the configuration with the best economic, environmental and social performance is the one that considers fuel ethanol and PHB production from combined cane bagasse and molasses.
In order to reduce the cost of a DASC and avoid particle agglomeration when using plasmonic nanofluids, we also explore the configuration with the lowest possible absorption coefficient but with the reasonably high temperature gain as well as efficiency.
The behavior of the membrane reactor was different depending on the configuration, with the PBMR-O exhibiting smaller and the PBMR-E larger ethylene oxide selectivity, as compared to the FBR.
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The configurations with the lowest GDOPs can be given by solving a set of nonlinear algebraic equations.
The gradient fields for the configurations with the catheter alone or combined with P were uneven.
The number of decomposition levels has been varied between 1 and 8 and the configurations with the best MW-PSNR performances have been chosen.
Efficient constraint propagation cuts over 95% of the search time for finding the configurations with the largest contact surface, provided a contact is specified between two amino acid residues.
The configuration with a closed educator installed outside the evaporation chamber shows very promising performance.
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