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Optimal Section Design of Korean Agricultural Greenhouse Response to Climate Change Based on Monte Carlo Simulation

Author

Listed:
  • Jeongbae Jeon

    (Spatial Information Research Institute, Korea Land and Geospatial Informatix Corporation, Wanju-gun 55365, Korea)

  • Hyeongryeol Lee

    (Saemangeum National Industrial Complex, Korea Rural Community Corporation, Gunsan-si 54072, Korea)

  • Seongsoo Yoon

    (Department of Agricultural and Rural Engineering, Chungbuk National University, Cheongju-si 28644, Korea)

Abstract

Rapid climate change has threatened the agricultural production infrastructure that was designed based on past weather conditions. A glass greenhouse structure is especially affected by the changing wind speed and snow. Therefore, it is necessary to update the standards for a greenhouse design to secure the appropriate safe standards for wind speed and snow depth according to the structure shape, cross-sectional shape, and size of the greenhouse. This study develops a structural optimal cross-section model to cope with climate change such as abnormal weather for Korean glass greenhouses. We programmed a model to calculate the probability of greenhouse failure and developed a sectional setting model for optimal failure probability by applying the concepts of a Monte Carlo simulation technique and simplex method. The main results showed that it is possible to reduce the probability of failure by about 80%, and the materials could be reduced by about 18% with the optimal cross-section setting of this study. Therefore, we propose that, with this cross-section, it is possible to build an economical greenhouse that still ensures safety against failure.

Suggested Citation

  • Jeongbae Jeon & Hyeongryeol Lee & Seongsoo Yoon, 2022. "Optimal Section Design of Korean Agricultural Greenhouse Response to Climate Change Based on Monte Carlo Simulation," Agriculture, MDPI, vol. 12(9), pages 1-15, September.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:9:p:1413-:d:909476
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    References listed on IDEAS

    as
    1. Ni, Pinghe & Li, Jun & Hao, Hong & Yan, Weimin & Du, Xiuli & Zhou, Hongyuan, 2020. "Reliability analysis and design optimization of nonlinear structures," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    2. Kevin A. Reed & Michael F. Wehner & Colin M. Zarzycki, 2022. "Attribution of 2020 hurricane season extreme rainfall to human-induced climate change," Nature Communications, Nature, vol. 13(1), pages 1-6, December.
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    1. Danijel Mijić & Grujica Vico & Božidar Popović & Nataša Popović & Miloš Ljubojević & Mihajlo Savić, 2024. "OPTIMILK: A Web-Based Tool for Least-Cost Dairy Ration Optimization Using Linear Programming," Agriculture, MDPI, vol. 14(9), pages 1-19, September.

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