IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i14p8283-d857026.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/14/8283/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/14/8283/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Baneshi, Mehdi & Gonome, Hiroki & Maruyama, Shigenao, 2020. "Wide-range spectral measurement of radiative properties of commercial greenhouse covering plastics and their impacts into the energy management in a greenhouse," Energy, Elsevier, vol. 210(C).
    2. Zhang, Guanshan & Ding, Xiaoming & Li, Tianhua & Pu, Wenyang & Lou, Wei & Hou, Jialin, 2020. "Dynamic energy balance model of a glass greenhouse: An experimental validation and solar energy analysis," Energy, Elsevier, vol. 198(C).
    3. 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.
    4. Adnan Rasheed & Jong Won Lee & Hyun Woo Lee, 2018. "Development and Optimization of a Building Energy Simulation Model to Study the Effect of Greenhouse Design Parameters," Energies, MDPI, vol. 11(8), pages 1-19, August.
    5. Adnan Rasheed & Wook Ho Na & Jong Won Lee & Hyeon Tae Kim & Hyun Woo Lee, 2019. "Optimization of Greenhouse Thermal Screens for Maximized Energy Conservation," Energies, MDPI, vol. 12(19), pages 1-20, September.
    6. Katzin, David & van Henten, Eldert J. & van Mourik, Simon, 2022. "Process-based greenhouse climate models: Genealogy, current status, and future directions," Agricultural Systems, Elsevier, vol. 198(C).
    7. Kim, Min-Hwi & Kim, Deukwon & Heo, Jaehyeok & Lee, Dong-Won, 2019. "Techno-economic analysis of hybrid renewable energy system with solar district heating for net zero energy community," Energy, Elsevier, vol. 187(C).
    8. Qazeem Opeyemi Ogunlowo & Timothy Denen Akpenpuun & Wook-Ho Na & Anis Rabiu & Misbaudeen Aderemi Adesanya & Kwame Sasu Addae & Hyeon-Tae Kim & Hyun-Woo Lee, 2021. "Analysis of Heat and Mass Distribution in a Single- and Multi-Span Greenhouse Microclimate," Agriculture, MDPI, vol. 11(9), pages 1-24, September.
    9. Adnan Rasheed & Wook Ho Na & Jong Won Lee & Hyeon Tae Kim & Hyun Woo Lee, 2021. "Development and Validation of Air-to-Water Heat Pump Model for Greenhouse Heating," Energies, MDPI, vol. 14(15), pages 1-22, August.
    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. Han, Gwangwoo & Joo, Hong-Jin & Lim, Hee-Won & An, Young-Sub & Lee, Wang-Je & Lee, Kyoung-Ho, 2023. "Data-driven heat pump operation strategy using rainbow deep reinforcement learning for significant reduction of electricity cost," Energy, Elsevier, vol. 270(C).
    2. Rabiu, Anis & Adesanya, Misbaudeen Aderemi & Na, Wook-Ho & Ogunlowo, Qazeem O. & Akpenpuun, Timothy D. & Kim, Hyeon Tae & Lee, Hyun-Woo, 2023. "Thermal performance and energy cost of Korean multispan greenhouse energy-saving screens," Energy, Elsevier, vol. 285(C).
    3. Daniel Castro Medina & MCarmen Guerrero Delgado & Teresa Rocío Palomo Amores & Aurore Toulou & Jose Sánchez Ramos & Servando Álvarez Domínguez, 2022. "Climatic Control of Urban Spaces Using Natural Cooling Techniques to Achieve Outdoor Thermal Comfort," Sustainability, MDPI, vol. 14(21), pages 1-33, October.
    4. Mingzhi Zhao & Yingjie Liu & Daorina Bao & Xiaoming Hu & Ningbo Wang & Lei Liu, 2023. "Study on the Influence of Solar Array Tube on Thermal Environment of Greenhouse," Sustainability, MDPI, vol. 15(4), pages 1-20, February.

    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. Katzin, David & van Henten, Eldert J. & van Mourik, Simon, 2022. "Process-based greenhouse climate models: Genealogy, current status, and future directions," Agricultural Systems, Elsevier, vol. 198(C).
    2. Feng, Chaoqing & Zhang, Lizhuang & Wang, Rui & Yang, Hongbin & Xu, Zhao & Yan, Suying, 2021. "Greenhouse cover plate with dimming and temperature control function," Energy, Elsevier, vol. 221(C).
    3. Adnan Rasheed & Wook Ho Na & Jong Won Lee & Hyeon Tae Kim & Hyun Woo Lee, 2021. "Development and Validation of Air-to-Water Heat Pump Model for Greenhouse Heating," Energies, MDPI, vol. 14(15), pages 1-22, August.
    4. Rabiu, Anis & Adesanya, Misbaudeen Aderemi & Na, Wook-Ho & Ogunlowo, Qazeem O. & Akpenpuun, Timothy D. & Kim, Hyeon Tae & Lee, Hyun-Woo, 2023. "Thermal performance and energy cost of Korean multispan greenhouse energy-saving screens," Energy, Elsevier, vol. 285(C).
    5. Adnan Rasheed & Jong Won Lee & Hyeon Tae Kim & Hyun Woo Lee, 2022. "Study on Heating and Cooling Performance of Air-to-Water Heat Pump System for Protected Horticulture," Energies, MDPI, vol. 15(15), pages 1-19, July.
    6. Costantino, Andrea & Comba, Lorenzo & Sicardi, Giacomo & Bariani, Mauro & Fabrizio, Enrico, 2021. "Energy performance and climate control in mechanically ventilated greenhouses: A dynamic modelling-based assessment and investigation," Applied Energy, Elsevier, vol. 288(C).
    7. Mohammad Akrami & Alaa H. Salah & Akbar A. Javadi & Hassan E.S. Fath & Matthew J. Hassanein & Raziyeh Farmani & Mahdieh Dibaj & Abdelazim Negm, 2020. "Towards a Sustainable Greenhouse: Review of Trends and Emerging Practices in Analysing Greenhouse Ventilation Requirements to Sustain Maximum Agricultural Yield," Sustainability, MDPI, vol. 12(7), pages 1-18, April.
    8. Kim, Min-Hwi & Kim, Deukwon & Heo, Jaehyeok & Lee, Dong-Won, 2020. "Energy performance investigation of net plus energy town: Energy balance of the Jincheon Eco-Friendly energy town," Renewable Energy, Elsevier, vol. 147(P1), pages 1784-1800.
    9. Zhang, Kai & Yu, Jihua & Ren, Yan, 2022. "Research on the size optimization of photovoltaic panels and integrated application with Chinese solar greenhouses," Renewable Energy, Elsevier, vol. 182(C), pages 536-551.
    10. Min-Hwi Kim & Dong-Won Lee & Deuk-Won Kim & Young-Sub An & Jae-Ho Yun, 2021. "Energy Performance Investigation of Bi-Directional Convergence Energy Prosumers for an Energy Sharing Community," Energies, MDPI, vol. 14(17), pages 1-17, September.
    11. Ge, Quanwu & Ke, Zhixin & Liu, Yutong & Chai, Fu & Yang, Wenhua & Zhang, Zhili & Wang, Yang, 2023. "Low-carbon strategy of demand-based regulating heating and lighting for the heterogeneous environment in beijing Venlo-type greenhouse," Energy, Elsevier, vol. 267(C).
    12. Muhammad Bilal Ali & Syed Ali Abbas Kazmi & Abdullah Altamimi & Zafar A. Khan & Mohammed A. Alghassab, 2023. "Decarbonizing Telecommunication Sector: Techno-Economic Assessment and Optimization of PV Integration in Base Transceiver Stations in Telecom Sector Spreading across Various Geographically Regions," Energies, MDPI, vol. 16(9), pages 1-34, April.
    13. Xiaoxia Li & Husheng Qiu & Zhifeng Wang & Jinping Li & Guobin Yuan & Xiao Guo & Lifeng Jin, 2023. "Numerical Investigation of a Solar-Heating System with Solar-Tower Receiver and Seasonal Storage in Northern China: Dynamic Performance Assessment and Operation Strategy Analysis," Energies, MDPI, vol. 16(14), pages 1-27, July.
    14. Ryu, Jun & Bahadur, Jitendra & Hayase, Shuzi & Jeong, Sang Mun & Kang, Dong-Won, 2023. "Efficient and stable energy conversion using 2D/3D mixed Sn-perovskite photovoltaics with antisolvent engineering," Energy, Elsevier, vol. 278(PB).
    15. Heangwoo Lee & Chang-ho Choi & Minki Sung, 2018. "Development of a Dimming Lighting Control System Using General Illumination and Location-Awareness Technology," Energies, MDPI, vol. 11(11), pages 1-19, November.
    16. Sheng, Mingfeng & Pan, Haodan & Xu, Dikai & Zhao, Dongliang, 2023. "Characterization and performance enhancement of radiative cooling on circular surfaces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    17. Ji-Suk Yu & Jin-Hee Kim & Jun-Tae Kim, 2020. "Effect of Triangular Baffle Arrangement on Heat Transfer Enhancement of Air-Type PVT Collector," Sustainability, MDPI, vol. 12(18), pages 1-13, September.
    18. Park, Jiseon & Yang, Won & Jung, Sooho & Lee, Hyeongseok & Hong, Jongsup & Lee, Yongwoon & Kim, Seongil, 2024. "Assessment of energy self-sufficiency of a smart farm through integrated modeling of air-source heat pumps and solar power generation," Applied Energy, Elsevier, vol. 367(C).
    19. Almorox, Javier & Voyant, Cyril & Bailek, Nadjem & Kuriqi, Alban & Arnaldo, J.A., 2021. "Total solar irradiance's effect on the performance of empirical models for estimating global solar radiation: An empirical-based review," Energy, Elsevier, vol. 236(C).
    20. Min-Hwi Kim & Deuk-Won Kim & Dong-Won Lee, 2021. "Feasibility of Low Carbon Renewable Energy City Integrated with Hybrid Renewable Energy Systems," Energies, MDPI, vol. 14(21), pages 1-24, November.

    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:jsusta:v:14:y:2022:i:14:p:8283-:d:857026. 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.