Analysis and synthesis include, e.g., computational tools and simulation, optimization, design of control systems, monitoring and fault detection. A core idea for TMCC is the idea of the transfer of methods and tools from one application area to another.
TMCC co-operates with other RnD groups at University of South-Eastern Norway (USN) wrt. applications; it is possible to be an active participant in TMCC, and simultaneously be active in other RnD groups at USN. TMCC will carry out separate application studies that do not have a natural place within other RnD groups at USN. TMCC will co-operate with external partners on applications.
Important activities for TMCC includes a TMCC forum, an annual TMCC workshop, increasing publication activities, and the establishment of RnD projects.
Research disciplines
Core disciplines for TMCC are within
- Sensor technology and industrial IT
- Development of (dynamic) models:
- experiment design
- empirical models/regression models/machine learning models
- mechanistic models
- model fitting, parameter estimation
- Models will both be for off-line use (design) and for on-line use
- Tools for simulation and analysis
- Optimization methods
- Design of control systems
- Design of estimation and monitoring systems
- Fault analysis
Research partners and network
Important partners/network include:
- NTNU, Trondheim: control engineering
- UiO, Oslo: machine learning/artificial intelligence
- Imperial College London: petroleum technology
- MIT: scientific machine learning tools
- Linköping University: simulation tools
- NTUU «KPI», Kiev: energy in buildings, smart grid
- SINTEF Digital, SINTEF Industri: petroleum production simulation
- Equinor Research Center, Porsgrunn: offshore applications of modeling and control
- Kelda Drilling Controls AS, Porsgrunn: offshore applications of modeling for control
- KDI, Porsgrunn: petroleum production simulation
- Skagerak Kraft AS, Porsgrunn: applications of modeling, control, and optimization within hydro power production
- Statkraft, Oslo: applications of modeling, control, and optimization within hydro power production
- HydroCen FME, Trondheim: applications of modeling, control, and optimization within hydro power production
- Norwegian Institute of Public Health, Oslo: systems biology, PBPK
On-going research projects
Examples of on-going RnD projects:
- Semi-kidd (2016-2020): oil/gas drilling models and sensors for kick/loss detection
- DigiWell (2020-2024): oil/gas production modeling, control, and optimization
- HEFTY (2017-2021): population balance models and control for fertilizer production
- OpenHPL (2016-): A Modelica based simulation library for hydropower systems
- Energy use in buildings (2013-)
- Flood management (2013-)