IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i9p1413-d909476.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/9/1413/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/12/9/1413/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Meide & Zhang, Dequan & Jiang, Chao & Han, Xu & Li, Qing, 2021. "A hybrid adaptive Kriging-based single loop approach for complex reliability-based design optimization problems," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    2. Bakeer, Tammam, 2023. "General partial safety factor theory for the assessment of the reliability of nonlinear structural systems," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    3. Rivier, M. & Congedo, P.M., 2022. "Surrogate-Assisted Bounding-Box approach applied to constrained multi-objective optimisation under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    4. Van Huynh, Thu & Tangaramvong, Sawekchai & Do, Bach & Gao, Wei & Limkatanyu, Suchart, 2023. "Sequential most probable point update combining Gaussian process and comprehensive learning PSO for structural reliability-based design optimization," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    5. Okoro, Aghatise & Khan, Faisal & Ahmed, Salim, 2023. "Dependency effect on the reliability-based design optimization of complex offshore structure," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    6. Cavallo, Eduardo A. & Gómez, Santiago & Noy, Ilan & Strobl, Eric, 2024. "Climate Change, Hurricanes, and Sovereign Debt in the Caribbean Basin," IDB Publications (Working Papers) 13351, Inter-American Development Bank.
    7. Li, Xiaoke & Zhu, Heng & Chen, Zhenzhong & Ming, Wuyi & Cao, Yang & He, Wenbin & Ma, Jun, 2022. "Limit state Kriging modeling for reliability-based design optimization through classification uncertainty quantification," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    8. Fabio de Oliveira Neves & Arlinda de Jesus Rodrigues Resende & Plinio Rodrigues dos Santos Filho & Breno Regis Santos, 2023. "Analysis of the Profile of the Greenhouse Gas Emissions in Brazil," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 16(4), pages 135-135, July.
    9. Yaqun, Qi & Ping, Jin & Ruizhi, Li & Sheng, Zhang & Guobiao, Cai, 2020. "Dynamic reliability analysis for the reusable thrust chamber: A multi-failure modes investigation based on coupled thermal-structural analysis," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    10. Alibeikloo, Mehrnaz & Khabbaz, Hadi & Fatahi, Behzad, 2022. "Random Field Reliability Analysis for Time-Dependent Behaviour of Soft Soils Considering Spatial Variability of Elastic Visco-Plastic Parameters," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    11. Shirgir, Sina & Shamsaddinlou, Amir & Zare, Reza Najafi & Zehtabiyan, Sorour & Bonab, Masoud Hajialilue, 2023. "An efficient double-loop reliability-based optimization with metaheuristic algorithms to design soil nail walls under uncertain condition," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    12. Li Lu & Yizhong Wu & Qi Zhang & Ping Qiao, 2023. "A Transformation-Based Improved Kriging Method for the Black Box Problem in Reliability-Based Design Optimization," Mathematics, MDPI, vol. 11(1), pages 1-19, January.
    13. Andrea Mah & Daniel Chapman & Ezra Markowitz & Brian Lickel, 2024. "Public preferences for sea-level rise adaptation vary depending on strategy, community, and perceiver characteristics," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 29(8), pages 1-34, December.
    14. Hongyan Dui & Huiting Xu & Yun-An Zhang, 2022. "Reliability Analysis and Redundancy Optimization of a Command Post Phased-Mission System," Mathematics, MDPI, vol. 10(22), pages 1-15, November.
    15. Yang, Yiming & Peng, Jianxin & Cai, C.S. & Zhou, Yadong & Wang, Lei & Zhang, Jianren, 2022. "Time-dependent reliability assessment of aging structures considering stochastic resistance degradation process," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    16. Abdollahi, Azam & Amini, Ali & Hariri-Ardebili, Mohammad Amin, 2022. "An uncertainty-aware dynamic shape optimization framework: Gravity dam design," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    17. Alibeikloo, Mehrnaz & Khabbaz, Hadi & Fatahi, Behzad & Le, Thu Minh, 2021. "Reliability Assessment for Time-Dependent Behaviour of Soft Soils Considering Cross Correlation between Visco-Plastic Model Parameters," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    18. Kevin T. Smiley & Ilan Noy & Michael F. Wehner & Christopher C. Sampson & Oliver E.J. Wing & KayLynn Larrison, 2024. "Climate Change and Federal Aid Disbursements After Hurricane Harvey: An Extreme Event Attribution Analysis," CESifo Working Paper Series 11435, CESifo.
    19. Qi, Yaqun & Jin, Ping & Cai, Guobiao & Li, Ruizhi, 2022. "A Bi-stage Multi-objective Reliability-based Design Optimization Using Surrogate Model for Reusable Thrust Chambers," Reliability Engineering and System Safety, Elsevier, vol. 221(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:12:y:2022:i:9:p:1413-:d:909476. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.