Abstract
The efficiency of solar panels depends on the operating temperature. As the panel temperature rises, efficiency drops. Thus, the solar energy community aims to understand the factors that influence the operating temperature, which include wind speed, wind direction, turbulence, ambient temperature, mounting configuration, and solar cell material. We use high-resolution numerical simulations to model the flow and thermal behavior of idealized solar farms. Because these simulations model such complex behavior, advanced visualization techniques are needed to investigate and understand the results. Here, we present advanced 3D visualizations of numerical simulation results to illustrate the flow and heat transport in an idealized solar farm. The findings can be used to understand how flow behavior influences module temperatures, and vice versa.
| Original language | English |
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| Title of host publication | e-Energy 2021 - Proceedings of the 2021 12th ACM International Conference on Future Energy Systems |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 377-381 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450383332 |
| DOIs | |
| State | Published - Jun 22 2021 |
| Externally published | Yes |
| Event | 12th ACM International Conference on Future Energy Systems, e-Energy 2021 - Virtual, Online, Italy Duration: Jun 28 2021 → Jul 2 2021 |
Publication series
| Name | e-Energy 2021 - Proceedings of the 2021 12th ACM International Conference on Future Energy Systems |
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Conference
| Conference | 12th ACM International Conference on Future Energy Systems, e-Energy 2021 |
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| Country/Territory | Italy |
| City | Virtual, Online |
| Period | 06/28/21 → 07/2/21 |
Funding
This work is partially funded by the U.S. Department of Energy [grant number DE-EE0008168] and the Intel Graphics and Visualization Institutes of XeLLENCE. We also acknowledge the Center for High Performance Computing (CHPC) at the University of Utah for computing resources. We would like to thank Dr. Marc Calaf in the Wind, Energy & Turbulence lab at the University of Utah for providing us valuable insights on performing LES for solar farms.
Keywords
- Solar panels
- flow
- heat transfer
- large-eddy simulation
- temperature