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Parametric study on a simplified model for the estimation of the heating and the cooling loads of a closed-span greenhouse: a case study in Korea

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Abstract

The modeling of greenhouse heating and cooling loads at the required operating conditions is important for greenhouse managers or planners. However, the conventional model for the greenhouse thermal load prediction is complex for staff without sufficient academic background. Therefore, a steady-state simplified model based on the estimation of related heat transfer parameters was developed to predict the hourly heating and cooling requirements of the closed greenhouses in Korea and the Northeastern Asian region. In the suggested approach, the thermal load was simplified as a function of greenhouse size, the temperature difference between the setting indoor temperature and the ambient temperature, total horizontal solar radiation, overall heat transfer coefficient, and the fraction factor of solar conversion. Except the designed parameters and the climatic variables, the overall heat transfer coefficient and the fraction factor of the solar conversion were restored using an inverse procedure based on a linear regression approach, which was assessed with synthetic data calculated using the TRNSYS software. The climatic data from meteonorm assisted the simulations for six Northeastern Asian locations. The short-term load profiles and the monthly thermal energy consumptions from eight case studies with different greenhouse sizes and locations were validated with the TRNSYS solutions. The mean bias error and the coefficient of variation of the root-mean-square-error of annual loads were controlled within 5% and 11%, respectively. Satisfactory results suggested that the simplified model could be used for the greenhouse thermal load estimation especially in Korea and the Northeastern Asian region. However, the model should be tested with more regions in future work for extensive applications.

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Acknowledgments

This work was funded by the National Research Council of Science & Technology (NST) grant by the Korean government (MSIP, No. CRC-15-01-KIST). A1 Engineering, as a project partner, also supported this work.

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Authors and Affiliations

  1. School of Mechanical Engineering, Yeungnam University, 280, Daehak-Ro, Gyeongsan, Gyeongbuk, 38541, Korea

    Jie Liu & Ki-Yeol Shin

  2. Department of Mechanical Engineering, Graduate School, Yeungnam University, 280, Daehak-Ro, Gyeongsan, Gyeongbuk, 38541, Korea

    Tae-Hwan Jin

Authors
  1. Jie Liu
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Corresponding author

Correspondence to Ki-Yeol Shin.

Additional information

Jie Liu received his B.E. degree from Harbin Engineering University and M.E. and Ph.D. degrees in Mechanical Engineering from Yeungnam University. Dr. Liu is currently a Postdoctoral Researcher at the School of Mechanical Engineering of Yeungnam University. His research fields include energy efficiency, energy system simulation, and analysis of the cogeneration of heat and power system.

Tae-Hwan Jin received his B.S. (2016) and M.S. (2018) degrees in Electrical Engineering from Yeungnam University. Mr. Jin is currently pursuing his Ph.D. degree in Mechanical Engineering at the same university. His research interests include the modeling of renewable energy systems and real-time power system analysis for power market development and operation.

Ki-Yeol Shin is an Associate Professor at the School of Mechanical Engineering, Yeungnam University. He received all of B.S. (1993), M.S. (1995), and Ph.D. (1995) degrees at the same university. He has a specialty in heat transfer, energy system design, and modeling. He had experienced in the industrial field for over 14 years and joined a current faculty member in 2014. He has been working for engineering field applications mainly in the energy system analysis and power system modeling.

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Liu, J., Jin, TH. & Shin, KY. Parametric study on a simplified model for the estimation of the heating and the cooling loads of a closed-span greenhouse: a case study in Korea. J Mech Sci Technol 35, 333–341 (2021). https://doi.org/10.1007/s12206-020-1233-x

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  • DOI: https://doi.org/10.1007/s12206-020-1233-x

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