Validation of a Sunlight Availability Simulation Model

Sunlight availability for plants plays an important role in determining whether a plant can produce its maximum productivity output. The study developed a Rhinoceros simulation model that can predict the sunlight availability received in the surface of interest on a vertical farming (VF) shelf design for a particular crop, given that the weather data of the location is known. The simulation model was developed and validated against the experiment. Moreover, the simulation model is compared against other research data from different countries. The dimensions of the experiments from Indonesia and Japan were replicated in the developed Rhinoceros simulation model, and the simulation results were compared against the experiment results. The analysis shows that the model can predict sunlight availability in a similar way to the research data of other studies.

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Publication Details

Journal
International Journal on Food Agriculture and Natural Resources
Published
2024-12-31
DOI
https://doi.org/10.46676/ij-fanres.v5i4.411
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
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Validation of a Sunlight Availability Simulation Model

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International Journal on Food Agriculture and Natural Resources
Impact of Light on Environment and Health
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Validation of a Sunlight Availability Simulation Model

Damrongsak Rinchumphu, Chatchawan Chaichana, Suwimon Wicharuck, Ramnarong Wanison, Ar Man
article en

Abstract

Sunlight availability for plants plays an important role in determining whether a plant can produce its maximum productivity output. The study developed a Rhinoceros simulation model that can predict the sunlight availability received in the surface of interest on a vertical farming (VF) shelf design for a particular crop, given that the weather data of the location is known. The simulation model was developed and validated against the experiment. Moreover, the simulation model is compared against other research data from different countries. The dimensions of the experiments from Indonesia and Japan were replicated in the developed Rhinoceros simulation model, and the simulation results were compared against the experiment results. The analysis shows that the model can predict sunlight availability in a similar way to the research data of other studies.

International Journal on Food Agriculture and Natural ResourcesVol. 5(4)
Chiang Mai University (TH)
Openalex Percentile: Top 78%
Impact of Light on Environment and Health
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