RESEARCH + DEVELOPMENT
In a world that keeps turning, standing still means being at a competitive disadvantage. We conduct research on innovative solutions on behalf of our customers and develop new machines using state-of-the-art technologies.
Research project on sound emission and energy optimisation of automated CO2 dry ice blasting machines
In cooperation with the HA Hessen Agentur GmbH, enotech GmbH has conducted a research project from 2017 until 2019 on the “Sound emission and energy optimisation of automated CO2 dry ice blasting machines”.
The Hochschule Darmstadt (Darmstadt university of applied sciences) was consulted as a partner here. We have installed an experimental setup in Darmstadt with the aid of which we were able to develop and test various novel nozzle geometries that have made a significant contribution towards sound and energy optimisation. For this reason, we are aiming to set up a follow-up project this year, in which we can incorporate the knowledge gained so far to secure ourselves a unique selling point in the market.
Research project – CO2cycling – for the development, validation and commissioning of a digital twin of industrial CO2 dry ice production systems as an optimization, packaging, analysis and maintenance tool
In order to actively promote environmental protection, we as enotech GmbH are now going digital with the help of Distr@l-Funding from the State of Hesse. In cooperation with the development partners Treaves Research & Consult GmbH from Liederbach and the Steinbeis Transfer Center for Thermo- and Fluid-Dynamic Analysis of Technical Systems from Kelkheim, we are developing a digital process image of our industrial CO2 dry ice machines.
As part of this R&D project, various models and simulation approaches for the detailed mapping of the physical phenomena describing the dry ice production process are used, further developed and verified and validated in a digital twin of the process of enotech GmbH. This digital twin is used directly in the course of the project to implement an initial sustainable process optimization.
The final goal of the project is to be able to holistically examine and optimize the production process of enotech GmbH with the help of the digital process image. An optimal selection of process parameters should also be guaranteed with the help of digital technology, so that the production systems can be operated as required and a high level of energy and resource efficiency can always be guaranteed.
As part of this R&D project, an initial system optimization is already being sought. It promises energy savings of around 20% and resource savings of around 15%.