An Image-Based Gamut Analysis of Translucent Digital Ceramic Prints for Coloured Photovoltaic Modules: Supplementary Data

Colouring the frontglass of PV modules via digital ceramic printing aids in concealing the PV when integrated into existing building façades as BIPV, while admitting sufficient light to produce electricity. This promotes the visual acceptance and adoption of PV as a source of renewable energy in urban environments. The effective colour of the PV laminate is a combination of the transparent colour on glass and the colour of the PV cells. This colour should ideally match the architect’s visual expectations in terms of fidelity, but also in terms of relative PV efficiency as a function of print density. In practice, these requirements are often contradictory, particularly for vivid colours, and the visual results may deviate significantly. This paper presents an objective analysis of how colours appear on PV frontglass laminated with a PV module, using an image-based colour acquisition process. Given a set of 1044 nominal colours uniformly distributed in the RGB colour space, each printed in 10 opacities, we quantify the range of effective colours observed when printed on glass and combined with PV, and their deviation from the nominals. Our results confirm that the effective colour gamuts are significantly constrainted and skewed, depending on the ink volume and glass finish used for printing. In particular, blue-magenta hues cannot be reliably rendered with this process. These insights can serve as guidelines for selecting target colours for BIPV that can be well approximated in practice.

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PID https://www.doi.org/10.5281/zenodo.1216972
PID https://www.doi.org/10.5281/zenodo.1216971
URL http://dx.doi.org/10.5281/zenodo.1216972
URL https://figshare.com/articles/An_Image-Based_Gamut_Analysis_of_Translucent_Digital_Ceramic_Prints_for_Coloured_Photovoltaic_Modules_Supplementary_Data/6132701
URL https://zenodo.org/record/1216972
URL http://dx.doi.org/10.5281/zenodo.1216971
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Access Right Open Access
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Author Schregle, Roland (Autor/in)
Author Wittkopf, Stephen (Autor/in)
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Collected From Zenodo; Lucerne Open Repository; Datacite; figshare
Hosted By Zenodo; Lucerne Open Repository; figshare
Publication Date 2018-02-02
Publisher Zenodo
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Country Switzerland
Language UNKNOWN
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=dedup_wf_001::c2a73ef24d844a9b7bc0ee5786a9dd3c
Author jsonws_user
Last Updated 28 December 2020, 15:29 (CET)
Created 28 December 2020, 15:29 (CET)