Josef Ressel Centre for Applied Scientific Computing

Predictions and decision based on complexly interacting variables are omnipresent in energy, finance and logistics. When using mathematical models to describe such systems, often similar structures are employed like graphs, decision trees or differential equations. Solving these models requires optimisation algorithms or computationally expensive simulations.

The Josef Ressel Centre for Applied Scientific Computing in Energy, Finance and Logistics aims at developing numerical and IT tools for treating such problems.

Within the Josef Ressel Centre we work together with the following Industry partners: Hypo Vorarlberg Bank AG, myPEX, Vorarlberger Kraftwerke AG und Vorarlberger Landesversicherung. Former Partners are: infeo und Gebrüder Weiss.

In vehicle routing, discrete problems with a large number of decision variables have to be solved.

Computationally expensive algorithms depending on a large number of scenarios are omnipresent in finance.

Power Grid

Simulation of power grid requires extensive simulations when considering the dynamic loads of the users.


As a consequence of market liberalization combined with an increase in decentralized, fluctuating power generation from renewable sources a paradigm shift has taken part. Using Demand Side Management technologies (DSM) future power consumption will adapt to fluctuating generation. Developing DSM control systems relies on numerically expensive simulation of the power grid as well as optimization routines.


Balance sheets from banks and insurances contain all relevant information regarding the business and are used for determining performance indicators as required in Basel III or Solvency II. Modelling the positions of the balance sheet allows to predict future developments and stress situations. Another emphasis in this area is on the determination of the risk for various financial derivatives and portfolios of such derivatives. In both areas, the models contain many decision variables and solving requires Monte-Carlo simulations and optimisation algorithms.


In logistics, vehicle routing problems such as the famous "traveling salesman problem" and its variations are a notoriously hard class of optimisation problems. Next to the classical variant, variants with additional constraints (vehicle capacity, time windows for delivery/pick-up, fleet of vehicles) will be considered.

Research Goals

The Josef Ressel Centre aims at developing numerical methods for complex problems and to achieve synergies between thematically diverse but strucutrally similar problems. Our main goals are:

  1. Flexible and diverse laboratory solutions originating in academic environments are scaled to powerful IT environments.
  2. Existing industry solutions in the three application areas are often powerful, they will be extended by access to libraries for alternative and innovative computational algorithms.

To achieve these goals we will develop a distributed execution framework (DEF) which contains the algorithms for optimisation and simulation as library functions. Within the time period of the project, our aim is to provide the DEF to our partners. The algorithms for simulation and optimisation will be developed in the workpackages related to the application fields.

Josef Ressel Centres are 5-year research projects which are  jointly funded by the Austrian Ministry for Science, Research and Economy (BMWFW) and industrial partners. The Christian Doppler Forschungsgesellschaft has the coordination for this Public Private Partnership.

Contact person Josef Ressel Centre

Steffen Finck

Dr.-Ing. Steffen Finck
Head of Josef Ressel Centre for Applied Scientific Computing

 +43 5572 792 7122

More Information about the Josef Ressel Centre

Further information about the research centre Energy