Evaluation of thermally-optimised Li-ion cells performance as EESS in solar PV systems

The aims of the proposed MSc Dissertation project will be:
1. Develop a predictive model for Li-ion cells’ capacity, heat generation, electrochemical efficiency variation with cycles (operating ageing) based on experimental data provided by HWU Li-ion cells TMS Test Rig
2. Evaluate the benefits of Li-ion cells iso-thermalisation by TMS on LCOS and LCOE when combined with
residential PV systems.

The aims reported above could be broken down into the following objectives:
1. Statistical Analysis of Li-ion cells charge/discharge cycles at different DR and stabilised operating temperature (iso-thermalisation): electrical (V, I, P) and thermal (T, q, h,Q) data.

Suggested Software: Matlab, Python, Minitab

2. Modelling of Li-ion cells key factors evolution with cycle number (i.e. ageing effect)
(a) Discharge Capacity
(b) Electrical Energy
(c) Heat Generation
(d) Faraday (or Coulombic) Efficiency (discharge/charge capacity ratio)
(e) Round-trip Efficiency (discharge/charge electrical energy ratio)
(f) Discharge Electro-chemical Efficiency (electrical energy/chemical energy ratio)

3. Implementation of the proposed "ageing effect" model into a Li-ion cells/solar PV residential system transient model to evaluate life cycle energy/economic benefits of a thermally-optimised Li-ion cells EESS.

Suggested Software: TRNSYS, Simulink

Moreover, the candidate will be asked to familiarise with LabView Software and HWU Li-ion cells Test Rig 3 months before the formal starting date of the project (i.e. March, April, May 2019). This will permit the student to have a more confident knowledge on the technology and on the typical dataset available from the Test Rig to complete objectives 1 and 2 reported above.

The proposed project is part of a collaboration between Heriot-Watt University and Dukosi Ltd.

Supervisor name: 
Mr Stefano Landini
Supervisor and Deputy email addresses: 

Project Type:

Deputy name: 
Dr Nick Bennett