Digitalization in chemical engineering

Digitalization is changing the way of work in Chemical Engineering, and it is taking place in two-thirds of process re-engineering activities these days. Data analytics, such as real-time analyses of process data, also called streaming analytics, is one major benefit of digitalization. The group has special competence and feature as the link combining chemical, engineering, and (data) analytics skills. The research has its roots in chemometrics or environmetrics, and has covered a large competence field in various industrial and environmental cases over the last three decades.

University education

  • Courses on environmental and industrial analytics, on modelling of unit operations, and on design of experiments are given on M.Sc and post-graduate level annually.
  • Tens of Bachelor, Master, and Doctoral thesis are supervised annually.

Recent research topics

  • ENI-CBC projects in cooperation with Russian and Finnish research bodies and authorities: 1) Development of rainwater filters, and 2) Fingerprinting historical stones of buildings (multivatiate and image approaches)
  • Academy of Finland project concerning removal of ammonium from gasses (instrumental, material, and data handling)
  • Building novel databases for industry
  • Process mapping and data integrity in regulated environment based on risk management.
  • Modelling of product properties based on molecule size distribution, IR spectroscopy, and other chemical/process parameters.
  • Data mining from large databases for process monitoring and maintenance issues.
  • Defining sample representativity and uncertainty. Optimizing sampling intervals, and defining periodic behavior from data.
  • Multivariate calibration, handling of spectral data from chemical instruments, online instrument uncertainty assessments, path modelling, block modelling, and multidimensional modelling have been topics under academic and theoretical development.
  • Novel doctoral thesis started on combing spatial statistical methods with photogrammetry of microscopic samples. Further aims are in combining information of chemical data with spatial location, such as images of 3D surfaces. (Tuomas Sihvonen)

Further information

Satu-Pia Reinikainen, Professor, D.Sc. (Tech)

Tel. +358 40 353 9039

firstname.surname@lut.fi

 

Contact

LUT School of Engineering Science
P.O. Box 20
FI-53851 Lappeenranta, Finland

Riina Salmimies
Dean
+358 45 631 0917
firstname.lastname@lut.fi

Lea Hannola
Vice Dean
+358 40 822 3982
firstname.lastname@lut.fi