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Determination of the Optimal Orientation of Chinese Solar Greenhouses Using 3D Light Environment Simulations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F22%3A00127313" target="_blank" >RIV/00216224:14740/22:00127313 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mdpi.com/2072-4292/14/4/912" target="_blank" >https://www.mdpi.com/2072-4292/14/4/912</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/rs14040912" target="_blank" >10.3390/rs14040912</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Determination of the Optimal Orientation of Chinese Solar Greenhouses Using 3D Light Environment Simulations

  • Original language description

    With the continuous use of resources, solar energy is expected to be the most used sustainable energy. To improve the solar energy efficiency in Chinese Solar Greenhouses (CSG), the effect of CSG orientation on intercepted solar radiation was systematically studied. By using a 3D CSG model and a detailed crop canopy model, the light environment within CSG was optimized. Taking the most widely used Liao-Shen type Chinese solar greenhouse (CSG-LS) as the prototype, the simulation was fully verified. The intercepted solar radiation of the maintenance structures and crops was used as the evaluation index. The results showed that the highest amount of solar radiation intercepted by the maintenance structures occurred in the CSG orientations of 4-6 degrees south to west (S-W) in 36.8 degrees N and 38 degrees N areas, 8-10 degrees S-W in 41.8 degrees N areas, and 2-4 degrees south to east (S-E) in 43.6 degrees N areas. The solar radiation intercepted by the crop canopy displayed the highest value at an orientation of 2-4 degrees S-W in 36.8 degrees N, 38 degrees N, 43.6 degrees N areas, and 4-6 degrees S-W in the 41.8 degrees N area. Furthermore, the proposed model could provide scientific guidance for greenhouse crop modelling.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10600 - Biological sciences

Result continuities

  • Project

    <a href="/en/project/EF16_026%2F0008446" target="_blank" >EF16_026/0008446: Signal integration and epigenetic reprograming for plant productivity</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    REMOTE SENSING

  • ISSN

    2072-4292

  • e-ISSN

  • Volume of the periodical

    14

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    17

  • Pages from-to

    1-17

  • UT code for WoS article

    000794237900001

  • EID of the result in the Scopus database

    2-s2.0-85124970574