Vertical agrivoltaics in a temperate climate: Exploring technical, agricultural, meteorological, and social dimensions
Authors/Creators
-
Victoria, Marta
(Researcher)1, 2
-
Pullens, Johannes
(Researcher)1
-
Torma, Gabriele
(Researcher)1
-
Lindhardt, Magnus Kamau Katana
(Researcher)1
-
Niazi, Kamran Ali Khan
(Researcher)1
-
Jahangirlou, Maryam Rahimi
(Researcher)1
-
El Khoury, Yannick Valentin
(Researcher)1
-
Aschemann-Witzel, Jessica
(Researcher)1
-
Ottosen, Carl-Otto
(Researcher)1
-
Jørgensen, Uffe
(Researcher)1
-
1.
Aarhus University
-
2.
Technical University of Denmark
Description
This dataset comprises comprehensive information on micro-meteorology, crop yield, and crop physiology collected as part of the HyPErFarm 2023 research project at Aarhus University's agrivoltaics research platform in Foulum, Denmark.
The data includes detailed measurements of microclimate conditions, such as wind speed and wind direction ("Control_WS_WD.csv", "South_oriented_WS_WD.csv", "Vertical_WS_WD.csv"), air temperature ("airtemperature2.csv"), humidity ("RHnew.csv"), and evapotranspiration/VPD ("ETo_VPD_calculated.csv"), as well as crop yield metrics across different photovoltaic (PV) setup configurations (SOUTH_ORIENTED and VERTICAL) and sub-strip locations within.
Additionally, physiological characteristics of winter wheat are documented in the excel file "Raw Data (Hyperfarm - Marta's Paper.xlsx")", offering insights into their growth patterns, responses to micro-climatic variations, and overall productivity under different agrivoltaic setups.
Files
airtemperature2.csv
Files
(77.2 MB)
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Additional details
Dates
- Available
-
2024-09-25Datasets
Software
- Repository URL
- https://github.com/kamaulindhardt/HyPErFarm2023_MetAgroPhysio.git
- Programming language
- R
- Development Status
- Active