Henrik Saxén
Professor, Heat Engineering
Thermal and Flow Engineering Laboratory
Department of Chemical Engineering
Åbo Akademi University
Biskopsgatan 8
FI-20500 Åbo
Finland
phone: +358 40 5443301
Mathematical modeling and
simulation of industrial processes, with special applications to chemical and
metallurgical engineering systems. Ironmaking technology, in particular blast
furnace modeling and interpretation. Optimization of energy systems.
Applications of soft computing, mainly neural networks and genetic algorithms,
to tackle complex modeling and optimization tasks in engineering.
Blast furnace technology
·
Modeling
of burden and gas distribution. Burden distribution demo
·
State
of the hearth region
·
Prediction
of pig iron variables
·
Optimization
of ironmaking
·
Suppression
of CO2 emissions in the BF
Optimization of energy systems
·
Distributed
energy systems
·
Gas
and LNG supply chain optimization
·
Energy
efficiency
Computational Intelligence
·
Application
of neural networks
·
Genetic
algorithms for process optimization
·
Hybrid
models
Recent doctoral theses from
the team:
Lei
Shao: Model-based Estimation of Liquid Flows in the Blast Furnace Hearth
and Taphole, 2013.
Hannu Helle: Towards
Sustainable Iron- and Steelmaking with Economic Optimization, 2014.
Hamid
Ghanbari: Sustainable Steelmaking by Process
Integration, 2014.
Carl-Mikael
Wiklund: Optimization of a Steel Plant Using
Converted Biomass, 2016.
Tamoghna Mitra: Modeling of
Burden Distribution in the Blast Furnace, 2016.