• Aucun résultat trouvé

Analysis and modeling (STICS / L-egume) of crop growth under shading conditions in Agri-PV context

N/A
N/A
Protected

Academic year: 2021

Partager "Analysis and modeling (STICS / L-egume) of crop growth under shading conditions in Agri-PV context"

Copied!
3
0
0

Texte intégral

(1)

HAL Id: hal-02950256

https://hal.inria.fr/hal-02950256

Submitted on 27 Sep 2020

HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Analysis and modeling (STICS / L-egume) of crop growth under shading conditions in Agri-PV context

Sylvain Edouard, Mike van Iseghem, Didier Combes

To cite this version:

Sylvain Edouard, Mike van Iseghem, Didier Combes. Analysis and modeling (STICS / L-egume) of

crop growth under shading conditions in Agri-PV context. ICROPM2020: Second International Crop

Modelling Symposium , Feb 2020, Montpellier, France. �hal-02950256�

(2)

Analysis and modeling (STICS / L-egume) of crop growth under shading conditions in Agri-PV context

Edouard Sylvain

1

(sy.edouard@gmail.com), Van Iseghem Mike

2

, Combes Didier

3

1 Lab les renardières, EDF / INRA, Écuelles, France; 2 Lab les renardières, EDF, Écuelles, France; 3 URP3F, INRA, Lusignan, France

Introduction

The Agri-PV concept refers to the combination of both agricultural and electrical productions on the same area.

The presence of photovoltaic panels above a crop implies sharing of sunlight. The panels create shading on the crop and thus reduce the light available for plants. Previous studies has already been done to evaluate this associa- tion. The results are conclusive but optimization still needs to be done. It is essential to define strategies in order to determine the optimum orientation of the PV modules that are favourable for crop growth. First, a modelling approach is done in order to understand the interaction between the plant and the irradiation. Indeed, in order to adapt plant growth models, it is necessary to define new formalisms.

Context

This work is supported by the quite new installation of a demonstrator on the EDF Lab les Renardières site (Seine- et-Marne, 60 km south of Paris). It consists of a structure equipped with photovoltaic panels located 4.5m above the ground on a surface area of 3000 m², half of which is in the control zone. In addition, the panels are located on trackers that allow them to be oriented along two axes of rotation. This demonstrator will serve as an experimental support to test the hypotheses put forward.

Our study based on three models

The study seeks to estimate electricity and agricultural production in this context and for different crops. The aim is to optimize these two types of production. To do this, the simulations are based on three models:

- L-egume is an individual based model on fodder crops. This model simulates the dynamics of grassland commu- nities but accurately computes the interception of radiation by the plant. This model will thus be used to unders- tand the changes observed experimentally in shade situations.

- The second model used is the STICS crop model. It is widely used and can simulate a large number of crops. This more simplified model of radiation interception will allow optimization between the power generation and the crop production.

- Both crop growing models are coupled with a ray-tracing model (PVarray) that allows to determine the irradiation on top and below the PV panels at any time during the whole year.

The way the input variables are couples with the modelling bricks is shown in the illustration below (Figure 1). From the irradiation below the panels, the local microclimate is calculated, which allows to predict crop growth.

Future investigation of the study

In the rest of the work, the objective is to calibrate and adapt the model by conducting experiments on different crops in the Agri-PV context. To do this, it will be essential to take into account the interception of radiation at the height of the vegetation cover in the presence of the panels and their inclinations. Infraday dynamics will also be studied to determine a photosynthesis threshold to control shading. From an operational point of view, the inte- rest will be to provide the most efficient panel orientation algorithm for the association.

…/…

(3)

Agri-PV simulation block diagram.

Keywords: agrivoltaic, shade, modelling, crop.

References:

1. Goetzberger, A., Zastrow, et A., 1982. On the coexistence of solar-energy conversion and plant cultivation. Int. J. Sol.

Energy 1 (1).

2. Dupraz, C., Marrou, H., Talbot, G., Dufour, L., Nogier, A., Ferard, Y., 2010. Combining solar photovoltaic panels and food crops for optimising land use: Towards new agrivoltaic schemes. Renewable Energy 36 (10), 2725-2732.

3. Louarn G., Faverjon L. 2017. A generic individual-based model to simulate morphogenesis, C-N acquisition and popu- lation dynamics in contrasting forage legumes. Annals of Botany.

4. Marrou, H., L. Guilioni, L. Dufour, C. Dupraz et J. Wery. 2013b. « Microclimate under Agrivoltaic Systems: Is Crop Growth Rate Affected in the Partial Shade of Solar Panels? » Agricultural and Forest Meteorology 177: 117-32.

5. Elamri, Y., B. Cheviron, J.-M. Lopez, C. Dejean, et G. Belaud. « Water Budget and Crop Modelling for Agrivoltaic

Systems: Application to Irrigated Lettuces ». Agricultural Water Management 208.

Références

Documents relatifs

Having derived the brightness change contraint equation, we can now turn to algorithms utilizing this differential constraint with the goal of constructing a

Stepanov Institute of Physics, National Academy of Sciences of Belarus, Minsk, Republic of Belarus 92 National Scientific and Educational Centre for Particle and High Energy

At national level, the model is integrated in several programs such as ISOP System-Pastures production evaluation for the Agriculture Ministry, PIREN-Seine

A short growing season compared to Western Europe (where the STICS crop model was developed), a rainfed cropping system, and the continuous improvement of maize cultivars are

Nous proposons ici d’évaluer la capacité du modèle STICS à simuler une succession de cultures et d’évaluer l’impact des conditions initiales (eau et azote)

In that context, crop models are particularly useful tools to assess the agronomic and environmental performances of simple (monoculture) or complex (multi-species)

STICS has been widely employed in many agro-environmental contexts, especially in conventional tillage and temperate climate. But, few studies have evaluated STICS

Crop conditions and trends Crop area Crop type Crop production Surface harvested yield Yield prediction Biomasse prediction LAI … Remote Sensing Agricultural statistics