Wang, Zhe (2017) Modeling and analysis of multi-junction solar cells for maximum power point tracking to improve conversion efficiency. Coursework Masters thesis, University of Southern Queensland. (Unpublished)
Abstract
Nowadays, the most common renewable energy resources are solar and wind energy but solar or sunlight conversion efficiency still need to be improved. Single Junction solar cells efficiency is not sufficient so the multi-junction solar cells have been built to resolve this issue. Simulation models construction and results analysis are carried out in Matlab/ Simulink platform. The main objectives of this dissertation are to build single and double diode models of PV cells with various temperatures. The temperature ranges are from 0 C to 60 C and irradiance ranges are from 400 W/m2 to 1200 W/m2. Furthermore, there is not significant difference in results from single diode model and double diode model but double diode model is more practical. Hence, single junction and multi-junction solar cell (MJSC) models have been developed in order to analyze the edges of MJSC by comparing the P-V and I-V curves. The fill factor is related to open circuit voltage and short circuit current and maximum output power in simulation, then it has been used to evaluate the performance of PV cells, and the higher value of fill factor can partially stand for the PV cells have a better performance. In addition, an improved P&D method which depends on the conventional perturb and observe method to reduce the operation time by changing the duty cycle that have been implemented and the operation time is significantly decreases. An improved incremental conductance method also have been used with constant voltage method. The disadvantages and advantages of these two method have been discussed and analyzed in detail. Finally, a recommendation about further work will be proposed which is thermos-electrical generator operation with PV cells to utilize the waste heat.
|
Statistics for this ePrint Item |
| Item Type: | Thesis (Non-Research) (Coursework Masters) |
|---|---|
| Item Status: | Live Archive |
| Additional Information: | Current UniSQ staff and students can request access to this thesis. Please email research.repository@unisq.edu.au with a subject line of SEAR thesis request and provide: Name of the thesis requested and Your name and UniSQ email address. |
| Faculty/School / Institute/Centre: | Current - Faculty of Health, Engineering and Sciences - No Department (1 Jul 2013 -) |
| Supervisors: | Das, Narottam |
| Qualification: | Master of Engineering Sciences (Power Engineering) |
| Date Deposited: | 16 Jul 2026 01:37 |
| Last Modified: | 16 Jul 2026 01:37 |
| Uncontrolled Keywords: | renewable energy, solar wind energy, solar conversion, sunlight conversion, single junction solar cells, multi-junction solar cells, Matlab, Simulink |
| URI: | https://sear.unisq.edu.au/id/eprint/53249 |
Actions (login required)
 |
Archive Repository Staff Only |
