In agrivoltaic systems, modification of radiative microclimate at crop level is one of the main impacts of the photovoltaic panels. The level of light, or inversely of shade, received by the cultivated crops is therefore a key indicator to characterize such installations. We explore here two ways to define this indicator and simulate its value with our simulation software (AV-Studio). Results can vary significantly depending on the chosen definition, especially for small agrivoltaic plots or when the panels are close to the crops. Moreover, parameters such as panel height, canopy porosity, time of year and weather can also greatly influence the results. This indicates that the definition and method used to calculate the level of shade under the panels should be precisely stated before providing any result, especially regarding space and time extent.

1.
A.
Skartveit
,
J.A.
Olseth
and
J.E.
Tuft
, “
An hourly diffuse fraction model with correction for variability and surface albedo
”, in
Solar Energy (Elsevier, Amsterdam, 1998)
, Vol.
63
, No.
3
, pp.
173
183
.
2.
NREL SOLPOS sun position calculator
, website https://www.nrel.gov/grid/solar-resource/assets/data/solpos.c as downloaded on June 10th,
2021
.
3.
J.A.
Den Dulk
, “
The interpretation of remote sensing, a feasibility study
”, Ph.D. thesis,
Wageningen, The Netherlands
,
1989
.
4.
R.
Perez
,
R.
Seals
and
J.
Michalsky
, “
All weather model for sky luminance, preliminary configuration and validation
”,
Solar Energy (Elsevier, Amsterdam, 1993)
, Vol.
50
, No.
3
, pp.
235
245
.
5.
S.
Griffon
,
F.
de Coligny
, “
AMAPstudio: an Editing and Simulation Software Suite for Plants Architecture Modelling
”,
Ecological Modelling (Elsevier, Amsterdam
,
2014
), Vol.
290
, pp.
3
10
.
6.
A.
Mermoud
, “
Use and validation of PVSYST, a user-friendly software for PV-system design
”,
Thirteenth European Photovoltaic Solar Energy Conference. Nice
,
1995
.
7.
B.
Tiffon-Terrade
, “
Effect of Shading on Phenological Development of Grapevines
”,
Agrivoltaics 2020 Conference and Exhibition
.
8.
P.
Juillion
, “
Water Status, Irrigation Requirements and Fruit Growth of Apple Trees Grown under Photovoltaic Panels
”,
Agrivoltaics 2020 Conference and Exhibition.
9.
J.
Chopard
,
A.
Bisson
,
G.
Lopez
,
S.
Persello
,
C.
Richert
, and
D.
Fumey
, “Development of a Decision Support System to Evaluate Crop Performance under Dynamic Solar Panels” (
AIP publishing
,
Melville, NY
, accepted).
10.
R.
Oyarzun
,
C.
Stöckle
,
M.
Whiting
, “
A simple approach to modeling radiation interception by fruit-tree orchards
”,
Agricultural and Forest Meteorology (Elsevier, Amsterdam, 2007)
, Vol.
142
, pp.
12
24
.
This content is only available via PDF.