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Title | Optimization of greenhouse microclimate parameters considering the impact of CO2 and light |
Authors |
Sokolov, Serhii Viktorovych
|
ORCID |
http://orcid.org/0000-0001-8707-4616 |
Keywords |
greenhouse gas illumination greenhouse effect photosynthesis energy efficiency process innovation |
Type | Article |
Date of Issue | 2023 |
URI | https://essuir.sumdu.edu.ua/handle/123456789/91548 |
Publisher | Sumy State University |
License | Creative Commons Attribution 4.0 International License |
Citation | Sokolov S. (2023). Optimization of greenhouse microclimate parameters considering the impact of CO2 and light. Journal of Engineering Sciences, Vol. 10(1), pp. G14-G21, doi: 10.21272/jes.2023.10(1).g2 |
Abstract |
The most critical parameters of the microclimate in greenhouses are air and soil temperature, air and soil
moisture, plant illumination, and carbon dioxide (CO2) concentration in photosynthesis. New energy sources and
resource-efficient management of microclimate parameters in greenhouses can be utilized to reduce greenhouse crop
cultivation costs and increase profits. As the plant mass increase depends on photosynthesis, which involves the
formation of glucose in the plant chloroplasts from water and carbon dioxide under the influence of light radiation, the
saturation of greenhouses with carbon dioxide has become popular in recent decades. However, insufficient light slows
down the process of glucose formation, while excessive light intensity negatively affects photosynthesis. Based on the
experimentally proven Van Henten model of plant growth and using the MATLAB environment, a methodology was
proposed, and the dependence between CO2 concentration and leaf lettuce illumination power required for maximum
photosynthesis was determined. It is equal to 0.57 ppm/(W/m2
). Such dependence should be considered when designing
control systems to reduce resource and energy costs for greenhouse crop cultivation while ensuring maximum yield. |
Appears in Collections: |
Journal of Engineering Sciences / Журнал інженерних наук |
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Sokolov_jes_1_2023.pdf | 344.68 kB | Adobe PDF | 147716498 |
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