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TRNSYS Simulation and Experimental Validation of Internal Temperature and Heating Demand in a Glass Greenhouse

Author

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  • Misbaudeen Aderemi Adesanya

    (Department of Agricultural Civil Engineering, College of Agricultural and Life Sciences, Kyungpook National University, Daegu 41566, Korea)

  • Wook-Ho Na

    (Smart Agriculture Innovation Centre, Kyungpook National University, Daegu 41566, Korea)

  • Anis Rabiu

    (Department of Agricultural Civil Engineering, College of Agricultural and Life Sciences, Kyungpook National University, Daegu 41566, Korea)

  • Qazeem Opeyemi Ogunlowo

    (Department of Agricultural Civil Engineering, College of Agricultural and Life Sciences, Kyungpook National University, Daegu 41566, Korea
    Department of Agricultural and Bioenvironmental Engineering, Federal College of Agriculture Ibadan, Ibadan PMB 5029, Nigeria)

  • Timothy Denen Akpenpuun

    (Department of Agricultural and Biosystems Engineering, University of Ilorin, Ilorin PMB 1515, Nigeria)

  • Adnan Rasheed

    (Smart Agriculture Innovation Centre, Kyungpook National University, Daegu 41566, Korea)

  • Yong-Cheol Yoon

    (Department of Agricultural Engineering, Gyeongsang National University, Jinju 52828, Korea)

  • Hyun-Woo Lee

    (Department of Agricultural Civil Engineering, College of Agricultural and Life Sciences, Kyungpook National University, Daegu 41566, Korea
    Smart Agriculture Innovation Centre, Kyungpook National University, Daegu 41566, Korea)

Abstract

The energy demand in greenhouses is enormous, and high-performance covering materials and thermal screens with varying radiometric properties are used to optimise the energy demand in building energy simulations (BES). Transient System Simulation (TRNSYS) software is a common BES tool used to model the thermal performance of buildings. The calculation of the greenhouse internal temperature and heating demand in TRNSYS involves the solution of the transient heat transfer processes. This study modelled the temperature and heating demand of two multi-span glass greenhouses with concave (farm A) and convex (farm B) shapes. This study aims to investigate the influence of the different BES longwave radiation modes on greenhouse internal temperature in different zones and the heating demand of a conditioned zone. The standard hourly simulation results were compared with the experimental data. The results showed that the standard and detailed modes accurately predicted greenhouse internal temperature (the Nash–Sutcliffe efficiency coefficient (NSE) > 0.7 for all three zones separated by thermal screens) and heating demand (NSE > 0.8) for farms A and B. The monthly heating demand predicted by the simple and standard radiation modes for farm A matched the experimental measurements with deviations within 27.7% and 7.6%, respectively. The monthly heating demand predicted by the simple, standard, and detailed radiation modes for farm B were similar to the experimental measurements with deviations within 10.5%, 6.7%, and 2.9%, respectively. In the order of decreasing accuracy, the results showed that the preferred radiation modes for the heating demand were standard and simple for farm A, and detailed, standard, and simple for farm B.

Suggested Citation

  • Misbaudeen Aderemi Adesanya & Wook-Ho Na & Anis Rabiu & Qazeem Opeyemi Ogunlowo & Timothy Denen Akpenpuun & Adnan Rasheed & Yong-Cheol Yoon & Hyun-Woo Lee, 2022. "TRNSYS Simulation and Experimental Validation of Internal Temperature and Heating Demand in a Glass Greenhouse," Sustainability, MDPI, vol. 14(14), pages 1-30, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8283-:d:857026
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    References listed on IDEAS

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    1. Maurizio Carlini & Sonia Castellucci, 2010. "Modelling and Simulation for Energy Production Parametric Dependence in Greenhouses," Mathematical Problems in Engineering, Hindawi, vol. 2010, pages 1-28, December.
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