All Outputs (4)

Analysis of a Novel Solar Concentrator for Building Integrated Photovoltaic Application (2024)
Presentation / Conference Contribution
Kumar, A. K., Muhammad-Sukki, F., Abu-Bakar, S. H., Bani, N. A., Mas'ud, A. A., Ahmed, J., Ahmad, N., & Wan-Mohtar, W. A. A. Q. I. (2024, July). Analysis of a Novel Solar Concentrator for Building Integrated Photovoltaic Application. Presented at 2024 IEEE Symposium on Industrial Electronics & Applications (ISIEA), Kuala Lumpur, Malaysia

This research work focuses on developing a novel solar concentrator – a rectangular-based rotationally asymmetrical compound parabolic concentrator (RRACPC) design. This design is unique in its rectangular exit aperture, entrance aperture, and half-a... Read More about Analysis of a Novel Solar Concentrator for Building Integrated Photovoltaic Application.

Photovoltaic-powered vehicles: Current trends and future prospects (2024)
Book Chapter
Ahmed, J. (2024). Photovoltaic-powered vehicles: Current trends and future prospects. In S. Sundaram, V. Subramaniam, R. P. Raffaelle, M. Khaja Nazeeruddin, A. Morales-Acevedo, M. Bernechea Navarro, & A. F. Hepp (Eds.), Photovoltaics Beyond Silicon: Innovative Materials, Sustainable Processing Technologies, and Novel Device Structures (647-674). Elsevier. https://doi.org/10.1016/B978-0-323-90188-8.00019-1

To reduce the use of fossil fuels and their associated environmental impact, renewable energy sources are now part of the energy landscape. Photovoltaic(s) (PV) systems and technologies are increasingly seen as a viable option to produce energy eithe... Read More about Photovoltaic-powered vehicles: Current trends and future prospects.

Analyzing meteorological parameters using Pearson correlation coefficient and implementing machine learning models for solar energy prediction in Kuching, Sarawak (2024)
Journal Article
Tan, G., Afrouzi, H. N., Ahmed, J., Hassan, A., & Sukki, F. M. (2024). Analyzing meteorological parameters using Pearson correlation coefficient and implementing machine learning models for solar energy prediction in Kuching, Sarawak. Future Sustainability, 2(2), 20-26. https://doi.org/10.55670/fpll.fusus.2.2.3

Solar energy is one of the clean renewable energy sources that can offset the rising consumption of fossil fuels. However, the meteorological parameters, such as solar irradiance, ambient and solar module temperatures, relative humidity, etc., consta... Read More about Analyzing meteorological parameters using Pearson correlation coefficient and implementing machine learning models for solar energy prediction in Kuching, Sarawak.

Optimal DC link voltage stabilisation technique for a grid-connected PV system (2024)
Presentation / Conference Contribution
Khan, T., Kahwash, F., Ahmed, J., & Goh, K. (2024, September). Optimal DC link voltage stabilisation technique for a grid-connected PV system. Paper presented at ECCE Europe 2024, Darmstadt, Germany

The integration and utilisation of renewable energy resources (RES) have seen significant growth due to increased demand and environmental concerns. These RES resources are often integrated through a DC link. The stability and maintaining the DC link... Read More about Optimal DC link voltage stabilisation technique for a grid-connected PV system.