Research Assistant / PhD project: Cryogenic Energy System

Introduction 

Cryogenic Energy Storage (CES) is a promising large-scale energy storage technology that addresses intermittency in renewable energy systems during periods of low energy demand and expanding it to generate power during peak demand, CES offers grid flexibility and long-duration storage. However, theoretically it has relative low standalone round-trip efficiency, 40–60%, limited by energy-intensive liquefaction and regasification processes. Heat storage, cold storage and integration with other low grade energy sources are generally needed to increase the efficiency of CES.

Our current understanding of the CES technology and its hybridation with other energy systems, however, is still very limited. This work aims to improve the CES technology via improved heat and mass transfer, and integration with different energy systems, including cold energy utilisation from LNG, and low grade heat utilization. The project requires to perform thermodynamic analysis for integrated energy utilization system, develop predictive models accordingly, and simulate the flow and heat transfer performance of the critical components, i.e., heat pump, compressors, heat exchanger, expanders and storage tanks, as well as system performance optimization. 

Requirement

We are looking for a highly motivated researcher to develop the work independently, with a positive, supportive and creative outlook to develop and foster collaboration with industrial partners. 

The project has funding for two years at E13 scale, and is available from now on. It is expected that the candidate will be enrolled in the TUM PhD program, aiming to get a PhD afterwards, supported by other sources after the project period. 

As a formal qualification, you must hold a MSc degree (or equivalent). 

• MSc in energy engineering, computer science, math or equivalent.
• Proven experience in thermodynamic analysis, energy system modelling and control, and high-performance-computing.
• Excellent communication and interpersonal skill in English.
• Industrial working experience is highly preferred. 

To apply,  please send (1) Covering letter, (2) Your vision and expected contributions, and (3) CV with certificates to Prof. Dongsheng Wen at  d.wen@tum.de. Reference will be collected at late stage.