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

Уровень набора: 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 2014Альтернативный автор-лицо: 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, Associate Professor of Tomsk Polytechnic University, Candidate of technical sciences, 1979-, Aleksey GermanovichКоллективный автор (вторичный): Национальный исследовательский Томский политехнический университет (ТПУ), Физико-технический институт (ФТИ), Кафедра электроники и автоматики физических установок (№ 24) (ЭАФУ)Язык: английский.Резюме или реферат: 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..Примечания о наличии в документе библиографии/указателя: [References: p. 702 (13 tit.)].Тематика: электронный ресурс | труды учёных ТПУ Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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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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