Investigation of a novel heat extraction configuration for boosting photovoltaic panel efficiency
This study investigates the impact of accumulated heat extraction on photovoltaic (PV) panels' performance and longevity using Computational Fluid Dynamics (CFD) simulations. Three distinct cooling configurations were analyzed including thermoelectric cooling with a Peltier module, water cooling with a Peltier module, and a hybrid system combining thermoelectric and water cooling. Thermoelectric cooling with a Peltier module resulted in an 8.68 % efficiency loss. Water cooling demonstrated a 5.42 % increase in efficiency by effectively reducing operating temperatures. The hybrid system achieved the best results, with a 17.64 % efficiency increase. This research supports United Nations Sustainable Development Goals (SDGs), including affordable and clean energy (SDG 7), economic growth (SDG 8), innovation and infrastructure (SDG 9), sustainable cities (SDG 11), and climate action (SDG 13). Future work could enhance PV panel performance by using extracted heat for domestic water heating or industrial processes and optimizing cooling techniques through a parametric study and real-time machine learning models.
Authors
- Muhammad Imran Masood (ORCID: https://orcid.org/0000-0001-9778-1525)
- Fahid Riaz (ORCID: https://orcid.org/0000-0002-6468-614X)
- Muhammad Nasir Bashir (ORCID: https://orcid.org/0000-0001-9620-5980)
- Md. Arfan Ali (ORCID: https://orcid.org/0000-0001-9002-3625)
- Yasser Fouad (ORCID: https://orcid.org/0000-0003-3797-4282)
- Muhammad Usman (ORCID: https://orcid.org/0000-0003-0429-5355)
- Hafiz Waqar Ul Haq
- Shahmeer Khalid Chatha
Institutions
- Abu Dhabi University (AE)
- University of Engineering and Technology Lahore (PK)
- King Saud University (SA)
- University of Malaya (MY)
- University of the Highlands and Islands (GB)
- National University of Sciences and Technology (PK)
Publication Details
- Journal
- Case Studies in Thermal Engineering
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1016/j.csite.2025.106104
- Citations
- 5
- Primary Topic
- Photovoltaic System Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.82
Funders
- King Saud University