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Estimation of Maximum Photovoltaic Cover Ratios in Greenhouses Based on Global Irradiance Data

Hanrieder, Natalie und Kujawa, Anna und Bendejacq Seychelles, Ana und Blanco Muriel, Manuel Jesus und Carballo, José und Wilbert, Stefan (2024) Estimation of Maximum Photovoltaic Cover Ratios in Greenhouses Based on Global Irradiance Data. Applied Energy. Elsevier. doi: 10.1016/j.apenergy.2024.123232. ISSN 0306-2619.

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Kurzfassung

In this study, a method for estimating the maximum PV (photovoltaic) cover ratio for plastic greenhouses based on various years of global horizontal irradiance (GHI) data is presented and illustrated with an exemplary site in southeastern Spain. CAMS (Copernicus Atmosphere Monitoring Service) GHI data from 2005 to 2023 were analyzed to estimate the DLI (daily light integral) inside the greenhouses for various PV coverage ratios with East-West or North-South orientation. The conversion from GHI to photosynthetically active radiation is performed with the usage of a regression model from literature based on satellite and measurement data. The shading effect of the PV cover is estimated with a regression model from literature based on radiation distribution simulations in different greenhouse types. The maximum PV cover ratio was derived for different minimal DLI thresholds, corresponding to different crops. The proposed methodology has been tested for the Almería region in southeastern Spain which is characterized by high solar irradiance and can be applied also to other regions with similar climatic conditions. With a required DLI of at least 12 mol/m2/day, a theoretical maximum PV coverage of about 44% is acceptable even in December at the studied site for East-West orientation, while it reaches up to 100% (June) during the year. Further, the maximum PV cover ratios for a DLI threshold range have been calculated and compared with experimental results for plastic greenhouses from literature. In 87.2% of the case studies analyzed from literature, the proposed method showed an agreement in the estimation of the effect of PV shading ratios on marketable crop yields. The study indicates that significant PV cover ratios are theoretically possible even for light demanding crops considering DLI thresholds only and can help to select a useful PV cover ratio in PV greenhouses.

elib-URL des Eintrags:https://elib.dlr.de/203970/
Dokumentart:Zeitschriftenbeitrag
Titel:Estimation of Maximum Photovoltaic Cover Ratios in Greenhouses Based on Global Irradiance Data
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Hanrieder, NatalieNatalie.Hanrieder (at) dlr.dehttps://orcid.org/0000-0002-9671-351X161127111
Kujawa, Annaanna.kujawa (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Bendejacq Seychelles, Anaana.bendejacq (at) agrosupdijon.frNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Blanco Muriel, Manuel JesusManuel.Blanco (at) dlr.dehttps://orcid.org/0000-0003-2800-9886161127112
Carballo, Joséjoseantonio.carballo (at) psa.eshttps://orcid.org/0000-0003-0529-5672NICHT SPEZIFIZIERT
Wilbert, StefanStefan.Wilbert (at) dlr.dehttps://orcid.org/0000-0003-3573-3004NICHT SPEZIFIZIERT
Datum:2024
Erschienen in:Applied Energy
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
DOI:10.1016/j.apenergy.2024.123232
Verlag:Elsevier
Name der Reihe:Special Issue "Agrivoltaic systems for avoiding conflicts between the sustainable development goals"
ISSN:0306-2619
Status:veröffentlicht
Stichwörter:Condition Monitoring; Agrivoltaics; Photovoltaics; Solar Resource Assessment; Solar Energy; Photovoltaic; Horticulture; Mediterranean region; DLI data series
HGF - Forschungsbereich:Energie
HGF - Programm:Materialien und Technologien für die Energiewende
HGF - Programmthema:Thermische Hochtemperaturtechnologien
DLR - Schwerpunkt:Energie
DLR - Forschungsgebiet:E SW - Solar- und Windenergie
DLR - Teilgebiet (Projekt, Vorhaben):E - Condition Monitoring
Standort: Köln-Porz
Institute & Einrichtungen:Institut für Solarforschung > Qualifizierung
Hinterlegt von: Hanrieder, Natalie
Hinterlegt am:07 Jun 2024 12:13
Letzte Änderung:20 Jun 2024 08:24

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