«Automation and Informatization of the fuel and energy complex»

Real-time optimization system: methods and implementation

UDC: 65.011.56
DOI: 10.33285/2782-604X-2023-2(595)-13-19

Authors:

¹ SIBUR Digital, Moscow, Russia
² SIBUR, Moscow, Russia

Keywords: real-time optimization system, RTO, steady state detection, data reconciliation, data validation, process optimization, process control, advanced process control

Annotation:

The article presents the results of a study of RTO class systems, their position in the hierarchy of decision-making systems. The tools used in solutions of this class are considered. The purpose of the work is to form a picture of RTO systems applicability in technological processes, to understand their differences from decision-makings of the APC class. The RTO system is aimed to optimize the technological process taking into account current economic prerequisites. The RTO loop is an add-on for control systems and consists of steady state detection tools, data reconciliation, measurement validation and process optimization based on a first-principle process model. Examples of the use of RTO systems in petrochemical plants and RTO decision-makings optimization scenarios are presented. RTO decision-makings are effectively applied in non-linear processes with a large number of limitations, changing equipment parameters and price prerequisites. Such processes are steam cracking, catalytic cracking, crude distillation, etc.

Bibliography:

1. Câmara M.M., Quelhas A.D., Pinto J.C. Performance Evaluation of Real Industrial RTO Systems // Processes. – 2016. – Vol. 4, Issue 4. – P. 44. – DOI: 10.3390/pr4040044
2. RTO: an overview and assessment of current practice / M.L. Darby, M. Nikolaou, J. Jones, D. Nicholson // J. Process Control. – 2011. – Vol. 21, Issue 6. – P. 874–884. – DOI: 10.1016/j.jprocont.2011.03.009
3. Sustain Activities for Real-Time Optimization Models of Ethylene Plants / R. Rejowski Jr., V. Shahb, C.E. Fontenotb [et al.] // Computer Aided Chemical Engineering. – 2009. – Vol. 27. – P. 351–356. – DOI: 10.1016/S1570-7946(09)70279-2
4. Alkaya D., Vasamtharajan S., Biegler L.T. Successive quadratic programming applications in the process industry // Encyclopedia of optimization. – Boston, MA: Springer, 2008. – P. 3853–3866. – DOI: 10.1007/978-0-387-74759-0_673
5. Mejía R.I.G., Duarte M.B., Trierweiler J.O. Avaliação do desempenho e ajuste automático de métodos de identificação de estado estacionário // Congresso Brasileiro de Engenharia Química. – Foz do Iguaçú, 2010.