Nijso Beishuizen
  • Source: Scopus
20152021

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The availability of accurate and computationally cheap combustion models is merely a prerequisite that enables research and design engineers to improve current technologies and develop the next generation of heat and power appliances. It is often very challenging to improve a design even when detailed measurements and simulations are available. Even when large parameter studies are performed, this will only lead to an optimal design within the investigated parameter space. Automatic design optimization methods are a very powerful tool and adjoint-based optimization is specifically interesting for industrial designs that have high degrees of freedom. A number of manufacturing processes allowing high degrees of freedom or even ‘free shapes’ are 3D printing, casting and molding. Only recently has adjoint optimization been performed for design optimization of combustion appliances to reduce emissions using the open source software suite SU2. Development and use of adjoint method to improve combustion processes, specifically for hydrogen applications, is the focus of my work.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy
  • SDG 13 - Climate Action

External positions

combustion researcher, Bosch Thermotechniek B.V.

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