Loading…

The importance of 3D models to calculate shading ratios

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Garcin, Jean, Sourd, Francis, Lerat, Jean-François
Format: Conference Proceeding
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page
container_issue 1
container_start_page
container_title
container_volume 2635
creator Garcin, Jean
Sourd, Francis
Lerat, Jean-François
description 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.
doi_str_mv 10.1063/5.0103318
format conference_proceeding
fullrecord <record><control><sourceid>proquest_scita</sourceid><recordid>TN_cdi_proquest_journals_2747102599</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2747102599</sourcerecordid><originalsourceid>FETCH-LOGICAL-p253t-1adf0780f0d3ec45a1e4d9000a9883a344fca002df1c328e0dfb7eb5eeb3c7063</originalsourceid><addsrcrecordid>eNotkE1LwzAcxoMoOKcHv0HAm9D5z1vTHmU6FQZeJngLaV5cR9vUJD347e3YTs_lx_OG0D2BFYGSPYkVEGCMVBdoQYQghSxJeYkWADUvKGff1-gmpQMAraWsFkju9g63_Rhi1oNxOHjMXnAfrOsSzgEb3Zmp09nhtNe2HX5w1LkN6RZded0ld3fWJfravO7W78X28-1j_bwtRipYLoi2HmQFHixzhgtNHLc1AOi6qphmnHuj5zLWE8No5cD6RrpGONcwI-dBS_Rw8h1j-J1cyuoQpjjMkYpKLglQUdcz9Xiikmnzsd-gxtj2Ov4pAup4jBLqfAz7B8F6U98</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>2747102599</pqid></control><display><type>conference_proceeding</type><title>The importance of 3D models to calculate shading ratios</title><source>American Institute of Physics:Jisc Collections:Transitional Journals Agreement 2021-23 (Reading list)</source><creator>Garcin, Jean ; Sourd, Francis ; Lerat, Jean-François</creator><contributor>Trommsdorff, Max</contributor><creatorcontrib>Garcin, Jean ; Sourd, Francis ; Lerat, Jean-François ; Trommsdorff, Max</creatorcontrib><description>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.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/5.0103318</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Crops ; Microclimate ; Panels ; Three dimensional models</subject><ispartof>AIP conference proceedings, 2022, Vol.2635 (1)</ispartof><rights>Author(s)</rights><rights>2022 Author(s). Published by AIP Publishing.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,314,780,784,789,790,23928,23929,25138,27922,27923</link.rule.ids></links><search><contributor>Trommsdorff, Max</contributor><creatorcontrib>Garcin, Jean</creatorcontrib><creatorcontrib>Sourd, Francis</creatorcontrib><creatorcontrib>Lerat, Jean-François</creatorcontrib><title>The importance of 3D models to calculate shading ratios</title><title>AIP conference proceedings</title><description>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.</description><subject>Crops</subject><subject>Microclimate</subject><subject>Panels</subject><subject>Three dimensional models</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2022</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNotkE1LwzAcxoMoOKcHv0HAm9D5z1vTHmU6FQZeJngLaV5cR9vUJD347e3YTs_lx_OG0D2BFYGSPYkVEGCMVBdoQYQghSxJeYkWADUvKGff1-gmpQMAraWsFkju9g63_Rhi1oNxOHjMXnAfrOsSzgEb3Zmp09nhtNe2HX5w1LkN6RZded0ld3fWJfravO7W78X28-1j_bwtRipYLoi2HmQFHixzhgtNHLc1AOi6qphmnHuj5zLWE8No5cD6RrpGONcwI-dBS_Rw8h1j-J1cyuoQpjjMkYpKLglQUdcz9Xiikmnzsd-gxtj2Ov4pAup4jBLqfAz7B8F6U98</recordid><startdate>20221206</startdate><enddate>20221206</enddate><creator>Garcin, Jean</creator><creator>Sourd, Francis</creator><creator>Lerat, Jean-François</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20221206</creationdate><title>The importance of 3D models to calculate shading ratios</title><author>Garcin, Jean ; Sourd, Francis ; Lerat, Jean-François</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p253t-1adf0780f0d3ec45a1e4d9000a9883a344fca002df1c328e0dfb7eb5eeb3c7063</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Crops</topic><topic>Microclimate</topic><topic>Panels</topic><topic>Three dimensional models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Garcin, Jean</creatorcontrib><creatorcontrib>Sourd, Francis</creatorcontrib><creatorcontrib>Lerat, Jean-François</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Garcin, Jean</au><au>Sourd, Francis</au><au>Lerat, Jean-François</au><au>Trommsdorff, Max</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The importance of 3D models to calculate shading ratios</atitle><btitle>AIP conference proceedings</btitle><date>2022-12-06</date><risdate>2022</risdate><volume>2635</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>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.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/5.0103318</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0094-243X
ispartof AIP conference proceedings, 2022, Vol.2635 (1)
issn 0094-243X
1551-7616
language eng
recordid cdi_proquest_journals_2747102599
source American Institute of Physics:Jisc Collections:Transitional Journals Agreement 2021-23 (Reading list)
subjects Crops
Microclimate
Panels
Three dimensional models
title The importance of 3D models to calculate shading ratios
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T10%3A03%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_scita&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=The%20importance%20of%203D%20models%20to%20calculate%20shading%20ratios&rft.btitle=AIP%20conference%20proceedings&rft.au=Garcin,%20Jean&rft.date=2022-12-06&rft.volume=2635&rft.issue=1&rft.issn=0094-243X&rft.eissn=1551-7616&rft.coden=APCPCS&rft_id=info:doi/10.1063/5.0103318&rft_dat=%3Cproquest_scita%3E2747102599%3C/proquest_scita%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-p253t-1adf0780f0d3ec45a1e4d9000a9883a344fca002df1c328e0dfb7eb5eeb3c7063%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2747102599&rft_id=info:pmid/&rfr_iscdi=true