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

Jeongbae Jeon, Hyeongryeol Lee and Seongsoo Yoon ()
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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

Agriculture, 2022, vol. 12, issue 9, 1-15

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.

Keywords: factor of safety; probability of failure; Monte Carlo simulation; optimal section (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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