Development of High Efficiency, Low Cost and Non-Toxic All-Sputtered Cu2ZnSnS4 (CZTS) Thin Film Solar Cells

The Ministry of Higher Education sponsored this project with Research Grant Agreement No. MI-2019-011.

My duty: Research

My contribution included conceptualization, methodology, experiments, code development, data analysis and writing of research paper.

Funded amount: US$ 24,577

Publications include:

Ahmoum, H., Chelvanathan, P., Su'ait, M. S., Boughrara, M., Li, G., Al-Waeli, A. H., ... & Amin, N. (2020). Impact of preheating environment on microstructural and optoelectronic properties of Cu2ZnSnS4 (CZTS) thin films deposited by spin-coating. Superlattices and Microstructures140, 106452.

Shahsavar, A., Moayedi, H., Al‐Waeli, A. H., Sopian, K., & Chelvanathan, P. Machine learning predictive models for optimal design of building‐integrated photovoltaic‐thermal collectors. International Journal of Energy Research.

Kazem, H. A., Yousif, J., Chaichan, M. T., & Al‐Waeli, A. H. (2019). Experimental and deep learning artificial neural network approach for evaluating grid‐connected photovoltaic systems. International Journal of Energy Research43(14), 8572-8591.



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Comparison Study of Photovoltaic Pumping/Diesel Pumping Systems for Rural Areas in Oman

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Grid Connected Solar Photovoltaic Thermal (PVT) System with Nano Fluids and Nano PCM