This research activity is related to the development, implementation, and integration of algorithms for the solution of different optimization issues in the field of chemical and oil&gas industry. By means of parallel computing techniques and object-oriented programming, nowadays it is possible to solve in an integrated way and with a single solver numerous online problems such as the data reconciliation, the model predictive control, the dynamic optimization, the fault detection, and the decision-making support. The work describes the novel advances in numerical methods and their validation by the field.
Ottimizzazione multilivello di corporate chimiche operanti su larga scala
MANENTI, FLAVIO;BOZZANO, GIULIA LUISA;PIERUCCI, SAURO;
2012-01-01
Abstract
This research activity is related to the development, implementation, and integration of algorithms for the solution of different optimization issues in the field of chemical and oil&gas industry. By means of parallel computing techniques and object-oriented programming, nowadays it is possible to solve in an integrated way and with a single solver numerous online problems such as the data reconciliation, the model predictive control, the dynamic optimization, the fault detection, and the decision-making support. The work describes the novel advances in numerical methods and their validation by the field.File in questo prodotto:
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