Implementation and validation of virtual clones of coloured building-integrated photovoltaic facades

A newly introduced colour correction transmittance factor (CCTF) and an innovative probabilistic-to-deterministic approach were applied to create virtual clones of coloured building-integrated photovoltaic (BIPV) systems. These virtual clones calculate the current at maximum power point ( I m p p ) by adjusting the plane-of-array irradiance according to the transmittance properties of the coloured layer, which are governed by the CCTF. An ensemble of 200 randomly combined physical photovoltaic model chains was implemented (probabilistic approach), and the median of the diverse outputs was calculated to provide a deterministic I m p p , estimations. The virtual clones were validated against observations from two BIPV facades located in Zwolle (The Netherlands), where black (CCTF=1.00), light-grey (CCTF=0.89), and terracotta (CCTF=0.70) photovoltaic modules were mounted. Hourly I m p p data were collected from June 2023 to May 2024. The performance of different regression techniques was evaluated for the calibration of the virtual clones. The non-calibrated virtual clones showed similar accuracy throughout the year, with the determination coefficient ( R 2 ) that ranged from 0.594 (light-grey) to 0.613 (terracotta). Although the models generally overestimated I m p p , the results demonstrated that such a tendency was accentuated during overcast days. Consistent biases were also observed for solar elevations greater than 30°. Finally, the façade orientation influenced the simulation performance. Indeed, the non-calibrated models overestimated by circa 150 A the annual I m p p from the south-facing façade, and by more than 700 A the annual I m p p from the façade oriented south-west, regardless of the colour. However, calibration, particularly with Random Forest and Gradient Boosting, consistently reduced cumulative error across all scenarios. • A calibrated virtual clone for coloured building-integrated photovoltaic facades. • A new coefficient for simulating the optical behaviour of coloured photovoltaics. • A workflow for validation of building integrated photovoltaic façade virtual clones. • Performance monitoring of coloured building-integrated photovoltaic facades.

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Publication Details

Journal
Applied Energy
Published
2024-11-15
DOI
https://doi.org/10.1016/j.apenergy.2024.124845
Citations
6
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
1.59

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article

Implementation and validation of virtual clones of coloured building-integrated photovoltaic facades

Bjørn Petter Jelle, Gabriele Lobaccaro, Mattia Manni, Tom Melkert
6 citations
Applied Energy
Building Energy and Comfort Optimization
1.59
article

Implementation and validation of virtual clones of coloured building-integrated photovoltaic facades

Bjørn Petter Jelle, Gabriele Lobaccaro, Mattia Manni, Tom Melkert
article en
6 citations

Abstract

A newly introduced colour correction transmittance factor (CCTF) and an innovative probabilistic-to-deterministic approach were applied to create virtual clones of coloured building-integrated photovoltaic (BIPV) systems. These virtual clones calculate the current at maximum power point ( I m p p ) by adjusting the plane-of-array irradiance according to the transmittance properties of the coloured layer, which are governed by the CCTF. An ensemble of 200 randomly combined physical photovoltaic model chains was implemented (probabilistic approach), and the median of the diverse outputs was calculated to provide a deterministic I m p p , estimations. The virtual clones were validated against observations from two BIPV facades located in Zwolle (The Netherlands), where black (CCTF=1.00), light-grey (CCTF=0.89), and terracotta (CCTF=0.70) photovoltaic modules were mounted. Hourly I m p p data were collected from June 2023 to May 2024. The performance of different regression techniques was evaluated for the calibration of the virtual clones. The non-calibrated virtual clones showed similar accuracy throughout the year, with the determination coefficient ( R 2 ) that ranged from 0.594 (light-grey) to 0.613 (terracotta). Although the models generally overestimated I m p p , the results demonstrated that such a tendency was accentuated during overcast days. Consistent biases were also observed for solar elevations greater than 30°. Finally, the façade orientation influenced the simulation performance. Indeed, the non-calibrated models overestimated by circa 150 A the annual I m p p from the south-facing façade, and by more than 700 A the annual I m p p from the façade oriented south-west, regardless of the colour. However, calibration, particularly with Random Forest and Gradient Boosting, consistently reduced cumulative error across all scenarios. • A calibrated virtual clone for coloured building-integrated photovoltaic facades. • A new coefficient for simulating the optical behaviour of coloured photovoltaics. • A workflow for validation of building integrated photovoltaic façade virtual clones. • Performance monitoring of coloured building-integrated photovoltaic facades.

Applied EnergyVol. 378
Radboud University Nijmegen (NL), Norwegian University of Science and Technology (NO), Radboud University Medical Center (NL), Radboud Institute for Molecular Life Sciences (NL)
European Commission, Norges Forskningsråd
Openalex Percentile: Top 18%
Building Energy and Comfort Optimization
1.59
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