A Ray-Tracing-Based Irradiance Model for Agrivoltaic Greenhouses: Development and Application

A key challenge in designing agrivoltaic systems is avoiding or minimizing the negative impact of photovoltaic-induced shading on crops. This study introduces a novel ray-tracing-based irradiance model for evaluating the irradiance distribution inside agrivoltaic greenhouses taking into account the transmission characteristics of the greenhouse’s cover material. Simulations are based on satellite-derived irradiance data and are performed with high spatial and temporal resolution. The model is tested by reproducing the agrivoltaic greenhouse experiment of a previous study and comparing the simulated irradiance to the experimentally measured data. The coordinates of the sensor positions in the presented application are optimized based on one day of raw data of minutely measured irradiance from the experimental study. These coordinates are then used to perform simulations over an extended timeframe of several months to take into account the seasonal changes throughout a crop cycle. The average deviation between the simulations and the experimental measurements in terms of radiation reduction is determined as 2.88 percentage points for the entire crop cycle.

Authors

Institutions

Publication Details

Journal
Agronomy
Published
2025-03-07
DOI
https://doi.org/10.3390/agronomy15030665
Citations
4
Primary Topic
Greenhouse Technology and Climate Control
Type
article
Field-Weighted Citation Impact
7.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Ray-Tracing-Based Irradiance Model for Agrivoltaic Greenhouses: Development and Application

Jose A. Carballo, Guadalupe López-Díaz, Natalie Hanrieder, Álvaro Fernández‐Solas et al.
4 citations
Agronomy
Greenhouse Technology and Climate Control
7.00
article

A Ray-Tracing-Based Irradiance Model for Agrivoltaic Greenhouses: Development and Application

Jose A. Carballo, Guadalupe López-Díaz, Natalie Hanrieder, Álvaro Fernández‐Solas, Stefan Wilbert, Jesús Polo, Robert Pitz‐Paal, Cristina Cornaro, M.C. Alonso‐García, Sergio González Rodríguez, Anna Kujawa
article en
4 citations

Abstract

A key challenge in designing agrivoltaic systems is avoiding or minimizing the negative impact of photovoltaic-induced shading on crops. This study introduces a novel ray-tracing-based irradiance model for evaluating the irradiance distribution inside agrivoltaic greenhouses taking into account the transmission characteristics of the greenhouse’s cover material. Simulations are based on satellite-derived irradiance data and are performed with high spatial and temporal resolution. The model is tested by reproducing the agrivoltaic greenhouse experiment of a previous study and comparing the simulated irradiance to the experimentally measured data. The coordinates of the sensor positions in the presented application are optimized based on one day of raw data of minutely measured irradiance from the experimental study. These coordinates are then used to perform simulations over an extended timeframe of several months to take into account the seasonal changes throughout a crop cycle. The average deviation between the simulations and the experimental measurements in terms of radiation reduction is determined as 2.88 percentage points for the entire crop cycle.

AgronomyVol. 15(3)
University of Rome Tor Vergata (IT), Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE), Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (ES), RWTH Aachen University (DE)
Openalex Percentile: Top 4%
Greenhouse Technology and Climate Control
7.00
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.