Optimization of solar based vertical farming with ray-traced daylighting analysis and visualizations

Due to a diminishing land availability and a growing need for food security in Singapore, there is a need to focus on cultivating agriculture technology to enable us to face the challenges ahead. The recent worldwide pandemic caused by COVID-19 has further highlighted the importance of food security...

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Main Author: Foo, Chuan Kun
Other Authors: Ng Yin Kwee
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/141830
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1418302023-03-04T20:02:00Z Optimization of solar based vertical farming with ray-traced daylighting analysis and visualizations Foo, Chuan Kun Ng Yin Kwee School of Mechanical and Aerospace Engineering MYKNG@ntu.edu.sg Engineering::Electrical and electronic engineering Due to a diminishing land availability and a growing need for food security in Singapore, there is a need to focus on cultivating agriculture technology to enable us to face the challenges ahead. The recent worldwide pandemic caused by COVID-19 has further highlighted the importance of food security as seen from the reaction by the public. This study would make use of raytracing software and heat load models to optimise the growing of crops vertically and by doing so, would serve to increase the plausibility of urban VFs in Singapore. Crop trays are modelled using a CAD software and is then imported into a raytracing software TracePro 2019. Parameters obtained from the heat load and angle calculations would be used to start the simulation. Thereafter, solar irradiance obtained would be compared to different simulations with different design parameters. For this paper, the main design variable would be the tray width and tray inclination angle. After multiple simulations, it was found that trays at the bottom are less affected by varying angles of sunlight while trays at the top receive extreme variations. It was also noted that while the shaded area increases as tray inclination increases, the solar irradiance flux on each trays increases as opposed to decreasing. This new finding led to the conclusion that an increase in the angle of attack of the solar irradiance increased the occurrence of reflected and diffused irradiance. By just tilting the trays by 20 degrees, it allows more light to reach inwards, which would allow for a longer width of the trays. This in turn also increases the total yield of a tray in a limited space. This discovery can be utilised for the layout and arrangement for indoor VFs that relies on external solar irradiance for a light source and is proof that crop yield can be increased without adding extra energy consumption. Bachelor of Engineering (Mechanical Engineering) 2020-06-11T03:15:56Z 2020-06-11T03:15:56Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/141830 en A219 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Foo, Chuan Kun
Optimization of solar based vertical farming with ray-traced daylighting analysis and visualizations
description Due to a diminishing land availability and a growing need for food security in Singapore, there is a need to focus on cultivating agriculture technology to enable us to face the challenges ahead. The recent worldwide pandemic caused by COVID-19 has further highlighted the importance of food security as seen from the reaction by the public. This study would make use of raytracing software and heat load models to optimise the growing of crops vertically and by doing so, would serve to increase the plausibility of urban VFs in Singapore. Crop trays are modelled using a CAD software and is then imported into a raytracing software TracePro 2019. Parameters obtained from the heat load and angle calculations would be used to start the simulation. Thereafter, solar irradiance obtained would be compared to different simulations with different design parameters. For this paper, the main design variable would be the tray width and tray inclination angle. After multiple simulations, it was found that trays at the bottom are less affected by varying angles of sunlight while trays at the top receive extreme variations. It was also noted that while the shaded area increases as tray inclination increases, the solar irradiance flux on each trays increases as opposed to decreasing. This new finding led to the conclusion that an increase in the angle of attack of the solar irradiance increased the occurrence of reflected and diffused irradiance. By just tilting the trays by 20 degrees, it allows more light to reach inwards, which would allow for a longer width of the trays. This in turn also increases the total yield of a tray in a limited space. This discovery can be utilised for the layout and arrangement for indoor VFs that relies on external solar irradiance for a light source and is proof that crop yield can be increased without adding extra energy consumption.
author2 Ng Yin Kwee
author_facet Ng Yin Kwee
Foo, Chuan Kun
format Final Year Project
author Foo, Chuan Kun
author_sort Foo, Chuan Kun
title Optimization of solar based vertical farming with ray-traced daylighting analysis and visualizations
title_short Optimization of solar based vertical farming with ray-traced daylighting analysis and visualizations
title_full Optimization of solar based vertical farming with ray-traced daylighting analysis and visualizations
title_fullStr Optimization of solar based vertical farming with ray-traced daylighting analysis and visualizations
title_full_unstemmed Optimization of solar based vertical farming with ray-traced daylighting analysis and visualizations
title_sort optimization of solar based vertical farming with ray-traced daylighting analysis and visualizations
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/141830
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