Projects per year
Abstract
Realistic performance estimations of photovoltaic (PV) require a clear understanding of coupled electrical-thermal effects. Herein, a novel multiphysics framework, consisting of an electrical sub-model with improved parameter extraction and a thermal sub-model with 3-D thermal analysis, is proposed and validated to achieve reliable, fast, and all-sided performance estimations of PV. The electrical sub-model is firstly validated against experimental data and shows high robustness, with relative errors within 0.075% and elapsed time within 0.045 s. Then, the framework is validated against the experimental data on five consecutive summer days. Regardless of weather conditions or PV technologies, the simulated power output, back-surface temperature, and current–voltage curves are highly consistent with the measurement data. Notably, non-linear temperature-efficiency dependence and non-uniform temperature fields are observed in the results, with a maximum temperature difference of 4 °C and a peak temperature of about 54 °C. These results firmly indicate the necessity of coupled simulation and 3-D simulation. Finally, cross-comparisons with other methods are conducted. The electrical sub-model performs the best in most conditions in reality, with absolute errors within 0.75 W. The thermal sub-model approaches the state-of-the-art method with an average relative error of 6.47%. This framework is potential to advance the research and development of PV systems.
Original language | English |
---|---|
Article number | 119249 |
Journal | Applied Energy |
Volume | 319 |
Online published | 20 May 2022 |
DOIs | |
Publication status | Published - 1 Aug 2022 |
Research Keywords
- Photovoltaic
- Multiphysics simulation
- Equivalent circuit
- Electrical-thermal
- Parameter extraction
- Temperature field
Fingerprint
Dive into the research topics of 'Coupled electrical-thermal performance estimation of photovoltaic devices: A transient multiphysics framework with robust parameter extraction and 3-D thermal analysis'. Together they form a unique fingerprint.-
GRF: Microchannel Membrane-based IoNanofluid Reactor with Machine-learning Optimization for High-density and Low-temperature Absorption Thermal Energy Storage
WU, W. (Principal Investigator / Project Coordinator)
1/01/22 → …
Project: Research
-
GRF: Microchannel Membrane-Based Absorbers using Surfactant-modified Ionic Liquids for Heat/Mass Transfer Enhancement towards Compact and Crystallization-Free Absorption Heat Pumps
WU, W. (Principal Investigator / Project Coordinator)
1/09/20 → 19/02/25
Project: Research
-
ECS: Development af a Hybrid Absorption Thermal Energy Storage Technology for Higher Storage Density And Efficiency with Lower Charging Temperature
WU, W. (Principal Investigator / Project Coordinator)
1/08/19 → 9/01/24
Project: Research