Predicting color and short-circuit current of colored BIPV modules
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. T...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2021-09-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0063140 |
| _version_ | 1818989827426615296 |
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| author | T. Gewohn C. Schinke B. Lim R. Brendel |
| author_facet | T. Gewohn C. Schinke B. Lim R. Brendel |
| author_sort | T. Gewohn |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T19:44:40Z |
| format | Article |
| id | doaj.art-4ee4fb85f72a4b79ab4ddbe3c8116c8d |
| institution | Directory Open Access Journal |
| issn | 2158-3226 |
| language | English |
| last_indexed | 2024-12-20T19:44:40Z |
| publishDate | 2021-09-01 |
| publisher | AIP Publishing LLC |
| record_format | Article |
| series | AIP Advances |
| spelling | doaj.art-4ee4fb85f72a4b79ab4ddbe3c8116c8d2022-12-21T19:28:27ZengAIP Publishing LLCAIP Advances2158-32262021-09-01119095104095104-1210.1063/5.0063140Predicting color and short-circuit current of colored BIPV modulesT. Gewohn0C. Schinke1B. Lim2R. Brendel3Institute for Solar Energy Research Hamelin (ISFH), Am Ohrberg 1, 31860 Emmerthal, GermanyInstitute for Solar Energy Research Hamelin (ISFH), Am Ohrberg 1, 31860 Emmerthal, GermanyInstitute for Solar Energy Research Hamelin (ISFH), Am Ohrberg 1, 31860 Emmerthal, GermanyInstitute for Solar Energy Research Hamelin (ISFH), Am Ohrberg 1, 31860 Emmerthal, GermanyPhotovoltaic 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.http://dx.doi.org/10.1063/5.0063140 |
| spellingShingle | T. Gewohn C. Schinke B. Lim R. Brendel Predicting color and short-circuit current of colored BIPV modules AIP Advances |
| title | Predicting color and short-circuit current of colored BIPV modules |
| title_full | Predicting color and short-circuit current of colored BIPV modules |
| title_fullStr | Predicting color and short-circuit current of colored BIPV modules |
| title_full_unstemmed | Predicting color and short-circuit current of colored BIPV modules |
| title_short | Predicting color and short-circuit current of colored BIPV modules |
| title_sort | predicting color and short circuit current of colored bipv modules |
| url | http://dx.doi.org/10.1063/5.0063140 |
| work_keys_str_mv | AT tgewohn predictingcolorandshortcircuitcurrentofcoloredbipvmodules AT cschinke predictingcolorandshortcircuitcurrentofcoloredbipvmodules AT blim predictingcolorandshortcircuitcurrentofcoloredbipvmodules AT rbrendel predictingcolorandshortcircuitcurrentofcoloredbipvmodules |