Our strength: algorithm development for process optimisation
Entras has strong capabilities for applying data analytics in industry. We take pride in developing state-of-the-art optimisation algorithms for any kind of process and any specific boundary condition. This is one of our core capabilities.
Entras participates in several funded research projects:
Our expertises
Dispatching models & tools
- Dispatching of a biogas production facility
- Prediction of degradation in a biomass power plant
- Explosion detection based on data analytics
- Dispatching of an electrolysis facility
- Sootblow optimisation for biomass power plants and for waste incineration plants, producing heat and electricity
- Dispatching of a power-to-X facility
- Dispatching of storage systems (electricity, hydrogen, biogas etc)
- Cost reduction of energy networks (heat, cold, electricity)
- Optimal design of energy systems
Energy optimisation
Our R&D work covers energy related topics in industry, and focuses on process optimisation while taking into account supply contracts, electricity costs, CO2-emissions, primary energy use, fuel costs and any other relevant parameter.
We develop tailor made models for energy systems. Our models are intended to be converted into real-time control software.
Energy market knowledge
Our R&D covers the mechanisms of the European electricity markets, such as the spot market, the imbalance mechanism, and ancillary services.
If you have R&D related questions for energy dispatching, industrial process optimisation etc, please get in touch. We are open to collaborate with industry, research institutions, universities etc.
Our market related R&D covers all European energy markets.
How can algorithms help you making best use of your energy assets?
How can algorithms help you making best use of your energy assets?
Early failure detection for biomass power plants
Green Hydrogen is the new gold (without even having to dig)
NPV of a business case – common pitfalls
The Net Present Value (NPV) method is widely known and used throughout the industry to underpin investment decisions …