Dr Sunday Atuba Sunday.Atuba@uwe.ac.uk
Senior Lecturer in Electrical/Electronics Engineering
Dr Sunday Atuba Sunday.Atuba@uwe.ac.uk
Senior Lecturer in Electrical/Electronics Engineering
Fares Elgamal
Mehdi Rakhtalarostami Mehdi.Rakhtalarostami@uwe.ac.uk
Senior Lecturer in Electronic Vehicle Engineering
The growing demand for sustainable energy solutions has elevated photovoltaic (PV) systems as a practical and environmentally viable alternative to conventional power sources in residential settings. This study presents a systematic methodology for the design and performance analysis of a grid-connected PV system tailored for a residential area, with particular emphasis on local meteorological conditions using the PVsyst simulation software. The research encompasses the interpretation of climatic data, system sizing, and performance evaluation. A detailed PV system model was developed in PVsyst to assess key performance metrics, including nominal array energy output, system losses illustrated via Sankey diagrams, effective energy at the array output, and energy delivered to the grid. The proposed system, designed with a nominal capacity of 11.3 kWp, comprises 20 JASolar photovoltaic modules and a 20 kW Huawei inverter. Simulation results indicate an annual energy yield of 20,918 kWh and an average performance ratio of 75.62%. This methodological approach provides a valuable reference for engineers and researchers aiming to adopt climate-responsive design principles for residential PV system deployment.
Index Terms—PV System, PVsyst Software, Design a Photovoltaic System, and Solar Irradiance.
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 23rd IEEE International Conference on Smart City (SmartCity-2025) |
Start Date | Aug 13, 2025 |
End Date | Aug 15, 2025 |
Acceptance Date | Jun 27, 2025 |
Deposit Date | Jul 9, 2025 |
Journal | 23rd IEEE International Conference on Smart City (SmartCity-2025) |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Peer Reviewed | Peer Reviewed |
Public URL | https://uwe-repository.worktribe.com/output/14685370 |
Publisher URL | https://hpcn.exeter.ac.uk/smartcity2025/accepted-paper-list.php |
This file is under embargo due to copyright reasons.
Contact Sunday.Atuba@uwe.ac.uk to request a copy for personal use.
Control of PEM fuel cell system via higher order sliding mode control
(2012)
Journal Article
Proton exchange membrane fuel cell voltage-tracking using artificial neural networks
(2011)
Journal Article
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search