Projects

CERES will conduct research projects in order to provide industry-relevant compression and expansion technologies for future energy systems.

Artificial Intelligence tools for accelerated performance predictions and design in compressor systems

The multidisciplinary PhD project, entitled “Artificial Intelligence tools for accelerated performance predictions and design in compressor systems”, is focused on creating a smart tool that yields new blade profiles with specified performance metrics and operating and manufacturing constraints. The key outcomes of the proposed project are an alternative AI-based analysis tool for performance analysis of compressor systems and a first-of-its-kind smart generative tool for novel rotor designs using AI.

Lubricants for oil-injected positive displacement machines

The PhD project, entitled “Lubricants for oil-injected positive displacement machines”, is focused on creating an analytical and/or numerical tool for selection and evaluation of lubricants for future positive displacement machines in carbon neutral energy systems. The aimed output of the project is guidelines for using novel lubricants for PDMs in such systems.

Identification And Reduction Of Sources Of Sound In Positive Displacement Machines

This project, entitled “Lubricants for oil-injected positive displacement machines”, is focused on creating an analytical and/or numerical tool for selection and evaluation of lubricants for future positive displacement machines in carbon neutral energy systems. The aimed output of the project is guidelines for using novel lubricants for PDMs in such systems.