Continue with FacebookLooking to list your PhD opportunities? Log in here.
Dr Sheng Chen,
Dr Amit Kumar Jain,
Dr Dharminder Singh
Applications accepted all year round
Self-Funded PhD Students Only
About the Project
PROJECT REFERENCE NUMBER
Please select SCEBE-22SF-NMFFB-Chen from the drop-down list or add this to your proposal writeup.
BACKGROUND
The greatest challenge for renewable energy utilisation is the severe mismatch between energy demand and energy supply. Energy storage technologies is a promising way to address this challenge. Flow batteries, as a new large-scale energy storage method, have attracted increasing attention. The biggest problem for available flow battery prototypes is their high cost due to the expensive membranes inside them. It is urgent to develop novel membrane-free flow batteries to commercialise the flow battery technology. Accordingly, this PhD project deals with this critical issue for future large-scale energy storage systems. More specifically, the fundamental of heat and mass transfer are expected to be investigated by comprehensive simulation using CFD (computational fluid dynamics). The study is also expected to use machine learning to improve prediction. Based on such exploration, a novel flow battery prototype is expected to be designed and optimised.
AIMS
In this research study, the candidate is expected to:
- Conduct a literature review on flow batteries and recognise the challenges and gaps in large-scale energy storage.
- Numerical simulation, data analysis, and ML/AI for developing an advanced online prediction platform.
- Develop and validate a novel prototype of a membrane-free flow battery for energy storage, considering flow optimisation.
REQUIREMENTS
The candidate is expected to write a detailed proposal, not more than 2000 words, clearly stating how any of the points above can be executed.
The successful candidate has:
• The candidate needs a Master's Degree in relevant Engineering and Science subjects with numerical simulation skills.
• Knowledge of energy storage systems, fluid dynamics, heat & mass transfer and machine learning techniques.
• Strong mathematical, analytical, and programming skills using MATLAB and ANSYS FLUENT.
• Excellent communication skills in spoken and written English and teamwork skills.
• Creativity, positive attitude, and perseverance.
A bench fee of £4000 is required for attendance of relevant conferences and training.
Funding Notes
Applicants are expected to find external funding sources to cover the tuition fees and living expenses. Alumni and International students new to GCU who are self-funding are eligible for fee discounts.
Find out more on our Research Scholarships and Studentships webpage.
Find out more on our Research Scholarships and Studentships webpage.
References
For further information, please contact the team as below. Please note that this is treated as an informal query, and not an official application. To be considered officially, you will need to apply via https://www.gcu.ac.uk/research/postgraduateresearchstudy/applicationprocess/subjectarea
For further queries, please contact
Director of Studies
Name: Dr. Sheng Chen
Email: sheng.chen@gcu.ac.uk
GCU Research Online URL: https://researchonline.gcu.ac.uk/en/persons/sheng-chen
Dr Sheng Chen is an experienced researcher in energy storage, renewable energy and numerical simulation. He has published more than 100 journal papers with H-index=31 (https://www.scopus.com/authid/detail.uri?authorId=7410256260).
-----------------------------
2nd Supervisor
Name: Dr. Amit Kumar Jain
Email: amitkumar.jain@gcu.ac.uk
GCU Research Online URL: https://researchonline.gcu.ac.uk/en/persons/amit-kumar-jain
-------------------------------
3rd Supervisor
Name: Dr. Dharminder Singh
Email: dharminder.singh2@gcu.ac.uk
GCU Research Online URL: https://researchonline.gcu.ac.uk/en/persons/dharminder-singh
For further queries, please contact
Director of Studies
Name: Dr. Sheng Chen
Email: sheng.chen@gcu.ac.uk
GCU Research Online URL: https://researchonline.gcu.ac.uk/en/persons/sheng-chen
Dr Sheng Chen is an experienced researcher in energy storage, renewable energy and numerical simulation. He has published more than 100 journal papers with H-index=31 (https://www.scopus.com/authid/detail.uri?authorId=7410256260).
-----------------------------
2nd Supervisor
Name: Dr. Amit Kumar Jain
Email: amitkumar.jain@gcu.ac.uk
GCU Research Online URL: https://researchonline.gcu.ac.uk/en/persons/amit-kumar-jain
-------------------------------
3rd Supervisor
Name: Dr. Dharminder Singh
Email: dharminder.singh2@gcu.ac.uk
GCU Research Online URL: https://researchonline.gcu.ac.uk/en/persons/dharminder-singh
Email Now
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
Why not add a message here
* required field
The information you submit to Glasgow Caledonian University will only be used by them or their data partners to deal with your enquiry, according to their privacy notice. For more information on how we use and store your data, please read our privacy statement.
Search suggestions
Based on your current searches we recommend the following search filters.
Check out our other PhDs in Glasgow, United Kingdom
Check out our other PhDs in United Kingdom
Start a New search with our database of over 4,000 PhDs
PhD suggestions
Based on your current search criteria we thought you might be interested in these.
Novel method for energy system designs of residential communities with renewable energy generation and storage
University of Central Lancashire
Material degradation study of energy storage materials for renewable technologies PhD
Cranfield University
Feasibility study of mineral mining from subsurface reservoirs for renewable energy storage
Aberdeen University