Defeating the Sustainability Challenge in Batch Processesthrough Low-Cost Utilities Usage Reduction / F. Rossia [et al.]

Set Level: Chemical Engineering Transactions, 17th Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2014, Prague; Czech Republic; 23-27 August 2014Coauthor: Rossia, F.;Manenti, F., specialist in the field of automation equipment and electronics, researcher of Tomsk Polytechnic University, 1977-, Flavio;Kozin, K. A., specialist in the field of automation and electronics, Associate Professor of Tomsk Polytechnic University, Candidate of technical sciences, 1980-, Kirill Andreevich;Goryunov, A. G., Specialist in the field of automatic control, head of the Department Tomsk Polytechnic University, doctor of technical Sciences, 1979-, Aleksey GermanovichCorporate Author (Secondary): Национальный исследовательский Томский политехнический университет (ТПУ), Физико-технический институт (ФТИ), Кафедра электроники и автоматики физических установок (№ 24) (ЭАФУ)Language: английский.Abstract: A novel optimisation algorithm is proposed to simultaneously perform an online dynamic optimisation and control of batch processes while optimising the batch operation time as well. This new method is employed to reduce, in real-time, the environmental impact of discontinuous processes through a lower utility consumption, minimizing, at the same time, the consequences in terms of net income losses. Objectoriented programming and parallel computing are exploited to improve the algorithm efficiency. A simple but meaningful test case is used to prove the effectiveness of the proposed methodology..Bibliography: [References: p. 702 (13 tit.)].Subject: электронный ресурс | труды учёных ТПУ Online Resources:Click here to access online
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[References: p. 702 (13 tit.)]

A novel optimisation algorithm is proposed to simultaneously perform an online dynamic optimisation and control of batch processes while optimising the batch operation time as well. This new method is employed to reduce, in real-time, the environmental impact of discontinuous processes through a lower utility consumption, minimizing, at the same time, the consequences in terms of net income losses. Objectoriented programming and parallel computing are exploited to improve the algorithm efficiency. A simple but meaningful test case is used to prove the effectiveness of the proposed methodology.

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