Details
| Original language | English |
|---|---|
| Article number | 095104 |
| Journal | AIP Advances |
| Volume | 11 |
| Issue number | 9 |
| Publication status | Published - 2 Sept 2021 |
Abstract
Photovoltaic modules for façade integration should have a widely modifiable appearance to adjust to the architect’s requirements. However, architects today usually have only a limited number of already manufactured samples to choose from. Changing the color will also change the photovoltaic yield. Therefore, it would be helpful to have a procedure that allows us to determine the appearance and expected yield in advance of module fabrication. We present such a method for creating a digital prototype of a colored building integrated photovoltaic module. Using reflectance and external quantum efficiency measurements of eight colored modules, we simulate the appearance and respective energy yield for arbitrary module colors. We validate our predictions for 29 different colored modules. We use textiles that have been colored by printing and laminate them onto the modules to change the appearance of the modules. However, our digital prototyping model is also applicable to other coloring techniques. We achieve an average color difference of ΔE00 = 1.34 between predicted and measured colors, which is barely perceptible to the human eye. The predicted short-circuit current density of the digital prototype deviates on average less than 1% from the measured one.
ASJC Scopus subject areas
- Physics and Astronomy(all)
- General Physics and Astronomy
Sustainable Development Goals
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: AIP Advances, Vol. 11, No. 9, 095104, 02.09.2021.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Predicting color and short-circuit current of colored BIPV modules
AU - Gewohn, T.
AU - Schinke, C.
AU - Lim, B.
AU - Brendel, R.
N1 - Funding Information: This work was funded by the state of Lower Saxony. The publication of this article was funded by the Open Access Fund of Leibniz Universität Hannover.
PY - 2021/9/2
Y1 - 2021/9/2
N2 - Photovoltaic modules for façade integration should have a widely modifiable appearance to adjust to the architect’s requirements. However, architects today usually have only a limited number of already manufactured samples to choose from. Changing the color will also change the photovoltaic yield. Therefore, it would be helpful to have a procedure that allows us to determine the appearance and expected yield in advance of module fabrication. We present such a method for creating a digital prototype of a colored building integrated photovoltaic module. Using reflectance and external quantum efficiency measurements of eight colored modules, we simulate the appearance and respective energy yield for arbitrary module colors. We validate our predictions for 29 different colored modules. We use textiles that have been colored by printing and laminate them onto the modules to change the appearance of the modules. However, our digital prototyping model is also applicable to other coloring techniques. We achieve an average color difference of ΔE00 = 1.34 between predicted and measured colors, which is barely perceptible to the human eye. The predicted short-circuit current density of the digital prototype deviates on average less than 1% from the measured one.
AB - Photovoltaic modules for façade integration should have a widely modifiable appearance to adjust to the architect’s requirements. However, architects today usually have only a limited number of already manufactured samples to choose from. Changing the color will also change the photovoltaic yield. Therefore, it would be helpful to have a procedure that allows us to determine the appearance and expected yield in advance of module fabrication. We present such a method for creating a digital prototype of a colored building integrated photovoltaic module. Using reflectance and external quantum efficiency measurements of eight colored modules, we simulate the appearance and respective energy yield for arbitrary module colors. We validate our predictions for 29 different colored modules. We use textiles that have been colored by printing and laminate them onto the modules to change the appearance of the modules. However, our digital prototyping model is also applicable to other coloring techniques. We achieve an average color difference of ΔE00 = 1.34 between predicted and measured colors, which is barely perceptible to the human eye. The predicted short-circuit current density of the digital prototype deviates on average less than 1% from the measured one.
UR - http://www.scopus.com/inward/record.url?scp=85114381684&partnerID=8YFLogxK
U2 - 10.1063/5.0063140
DO - 10.1063/5.0063140
M3 - Article
AN - SCOPUS:85114381684
VL - 11
JO - AIP Advances
JF - AIP Advances
SN - 2158-3226
IS - 9
M1 - 095104
ER -