Joint Research Unit REPSOL-ITMATI (ITMATI-C18-2014)
This Joint Research Unit (JRU) was set up October 10th 2014 to investigate mathematical and numerical methods to solve problems encountered by Repsol in a daily basis, especially in the fields of numerical simulation and optimization of products and processes. In particular, this JRU worked on simulation and optimization problems of great scope and complexity, either using mathematical and computational techniques in the field of industrial applications or either improving existing methods or developing new tools.
To achieve this, both Repsol and ITMATI have collaborated for 3 years (2014-2017), with the objective of reaching the objectives set in each of the four research lines of the JRU:
To achieve this, both Repsol and ITMATI have collaborated for 3 years (2014-2017), with the objective of reaching the objectives set in each of the four research lines of the JRU:
- Optimization in process plants under uncertainty
- Optimization of designs and charge of energy storage systems
- Optimization and inverse problems in reaction and image systems
- Optimization over unconventional hardware
- Corporate Image of the Joint Research Unit (JRU)
The most important results have been:
- Improving of the decision-making process in the production and investment plans. The aim was to introduce the uncertainty inherent in the market (prices and demands, for example) and in the production process itself to the mathematical programming problem, which will lead to better strategic and operational decisions in the company.
- Optimization of batteries for electric vehicles by extremely rigorous simulations of their operation and their degradation. Safer designs with longer life were developed. There were also developed protocols for recharging which allow a faster, efficient and safer charging process.
- Attainment of rigorous mathematical models that simulate physical and chemical phenomena of industrial systems based on experimental data, which will result in lower costs associated with experimentation in the laboratory and pilot plants and an operational improvement of the industrial system.
The competitive advantage that Repsol has obtained using a transversal tool such as Industrial Mathematics, has been to optimize its industrial processes, a better design of its processes and products, and has generated tools to help decision-making based on criteria more objective. No doubt this allows the company to make more remarkable innovations with respect to its competitors, the reduction of its production costs and at the same time the development times of new technologies.
- Image captured from the interface of an optimization tool under uncertainty of industrial process plants, research line 1 of the Repsol-ITMATI Joint Research Unit.
Between Repsol and ITMATI, a new paradigm of university - company collaboration has been created, evolving from the old R&D externalization model that other institutions make towards a co-creation model in mathematical technology research that allows for a multiplying effect in scientific knowledge and technological advances at the service of society.
- Sector: Energy
- Head Researcher: Alfredo Bermúdez de Castro
- Entity: Repsol
- Duration: October 2014 - October 2017
FURTHER INFORMATION:http://www.itmati.com/en/joint-research-unit-repsol-itmati-jru
