IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i2p306-d1048220.html
   My bibliography  Save this article

Performance Analysis and Selection of Chinese Solar Greenhouses in Xinjiang Desert Area

Author

Listed:
  • Xiao Wu

    (College of Horticulture, Xinjiang Agricultural University, Urumqi 830052, China
    These authors contributed equally to this work.)

  • Hong Li

    (College of Horticulture, Xinjiang Agricultural University, Urumqi 830052, China
    These authors contributed equally to this work.)

  • Siyu Sang

    (College of Horticulture, Xinjiang Agricultural University, Urumqi 830052, China)

  • Anhui He

    (College of Horticulture, Xinjiang Agricultural University, Urumqi 830052, China)

  • Yimei Re

    (College of Horticulture, Xinjiang Agricultural University, Urumqi 830052, China)

  • Hongjun Xu

    (College of Horticulture, Xinjiang Agricultural University, Urumqi 830052, China
    Center for Postdoctoral Studies of Xinjiang Agricultural University, Urumqi 830052, China)

Abstract

This study aims to provide information and theoretical support for the development planning of facility agriculture in desert areas. Using sensor monitoring, USB cable, and computer connection record, we measured the temperature, humidity, and heat transfer distribution of ordinary brick wall greenhouse (G1), composite wall greenhouse (G2), and assembled solar greenhouse (G3) in the Aksu desert area of Xinjiang. The results showed that G3 had the highest average temperature among the three types of greenhouses in the cold season; no difference was detected between G1 and G2 in the night temperature, while G3 has the characteristics of fast heating and cooling. On a sunny day, the heating rate of G1, G2, and G3 is 3.62, 4.4, and 4.77 °C/h, respectively. The cooling rate for G1 is 2.66 °C/h; 2.96 °C/h for G2; and 3.93 °C/h for G3. The heating rate for each greenhouse is nearly identical when it is cloudy outside, and the cooling rate of G1, G2, and G3 is 2.71, 4.2, and 4.34 °C/h, respectively. Moreover, the G3 north wall’s thermal insulation performance has clear advantages. Its wall surface can reach a temperature of 59.1 °C (G1 is 42.7 °C and G2 is 41.6 °C). This study showed that G3 possesses the virtues of effective thermal insulation; the rear wall has a small footprint and preserves the arable land; it also achieves the necessary environmental conditions for crop growth without the use of auxiliary heating.

Suggested Citation

  • Xiao Wu & Hong Li & Siyu Sang & Anhui He & Yimei Re & Hongjun Xu, 2023. "Performance Analysis and Selection of Chinese Solar Greenhouses in Xinjiang Desert Area," Agriculture, MDPI, vol. 13(2), pages 1-14, January.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:2:p:306-:d:1048220
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/2/306/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/13/2/306/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Esmaeli, Homa & Roshandel, Ramin, 2020. "Optimal design for solar greenhouses based on climate conditions," Renewable Energy, Elsevier, vol. 145(C), pages 1255-1265.
    2. Cai, Liping & Wang, Hui & Liu, Yanxu & Fan, Donglin & Li, Xiaoxiao, 2022. "Is potential cultivated land expanding or shrinking in the dryland of China? Spatiotemporal evaluation based on remote sensing and SVM," Land Use Policy, Elsevier, vol. 112(C).
    3. Mobtaker, Hassan Ghasemi & Ajabshirchi, Yahya & Ranjbar, Seyed Faramarz & Matloobi, Mansour, 2019. "Simulation of thermal performance of solar greenhouse in north-west of Iran: An experimental validation," Renewable Energy, Elsevier, vol. 135(C), pages 88-97.
    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. Xia, Tianyang & He, Ming & Li, Yiming & Sun, Dapeng & Sun, Zhouping & Liu, Xingan & Li, Tianlai, 2024. "New design concept and thermal performance of a composite wall applied in solar greenhouse," Energy, Elsevier, vol. 300(C).

    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. Xu, Demin & Fei, Shuaipeng & Wang, Zhi & Zhu, Jinyu & Ma, Yuntao, 2024. "Optimum design of Chinese solar greenhouses for maximum energy availability," Energy, Elsevier, vol. 304(C).
    2. Shuyao Dong & Md Shamim Ahamed & Chengwei Ma & Huiqing Guo, 2021. "A Time-Dependent Model for Predicting Thermal Environment of Mono-Slope Solar Greenhouses in Cold Regions," Energies, MDPI, vol. 14(18), pages 1-19, September.
    3. Wu, Xiaoyang & Li, Yiming & Jiang, Lingling & Wang, Yang & Liu, Xingan & Li, Tianlai, 2023. "A systematic analysis of multiple structural parameters of Chinese solar greenhouse based on the thermal performance," Energy, Elsevier, vol. 273(C).
    4. Li, Yiming & Yan, Jun & Li, Zongze & He, Ming & Liu, Xingan & Li, Tianlai, 2024. "A globalized methodology of energy-saving solar greenhouse design in high latitudes," Energy, Elsevier, vol. 304(C).
    5. 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.
    6. Xiaodan Zhang & Jian Lv & Jianming Xie & Jihua Yu & Jing Zhang & Chaonan Tang & Jing Li & Zhixue He & Cheng Wang, 2020. "Solar Radiation Allocation and Spatial Distribution in Chinese Solar Greenhouses: Model Development and Application," Energies, MDPI, vol. 13(5), pages 1-27, March.
    7. Ma, Shuai & Wang, Liang-Jie & Chu, Lei & Jiang, Jiang, 2023. "Determination of ecological restoration patterns based on water security and food security in arid regions," Agricultural Water Management, Elsevier, vol. 278(C).
    8. Qing Li & Xueyan Zhang, 2022. "Identifying Peach Trees in Cultivated Land Using U-Net Algorithm," Land, MDPI, vol. 11(7), pages 1-15, July.
    9. Chunhui Zhang & Haiyang Liu & Chunguang Wang & Zheying Zong & Haichao Wang & Xiaodong Zhao & Shuai Wang & Yanan Li, 2023. "Testing and Analysis on the Spatial and Temporal Distribution of Light Intensity and CO 2 Concentration in Solar Greenhouse," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
    10. 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).
    11. Fan Wang & Pengtao Zhang & Guijun Zhang & Jiahao Cui, 2023. "Agricultural Land Quality Evaluation and Utilization Zoning Based on the Production–Ecology–Health Dimension: A Case Study of Huanghua City," Land, MDPI, vol. 12(7), pages 1-16, July.
    12. 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).
    13. Ouazzani Chahidi, Laila & Fossa, Marco & Priarone, Antonella & Mechaqrane, Abdellah, 2021. "Energy saving strategies in sustainable greenhouse cultivation in the mediterranean climate – A case study," Applied Energy, Elsevier, vol. 282(PA).
    14. Achour, Yasmine & Ouammi, Ahmed & Zejli, Driss, 2021. "Technological progresses in modern sustainable greenhouses cultivation as the path towards precision agriculture," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    15. Serkan Erdem & Cenk Onan, 2024. "Investigation of Chinese-Style Greenhouse Usage Across Europe," Energies, MDPI, vol. 17(21), pages 1-15, October.
    16. Araceli Peña-Fernández & Manuel A. Colón-Reynoso & Pilar Mazuela, 2024. "Geometric Analysis of Greenhouse Roofs for Energy Efficiency Optimization and Condensation Drip Reduction," Agriculture, MDPI, vol. 14(2), pages 1-17, January.
    17. Xu, Demin & Henke, Michael & Li, Yiming & Zhang, Yue & Liu, Anhua & Liu, Xingan & Li, Tianlai, 2024. "Optimal design of light microclimate and planting strategy for Chinese solar greenhouses using 3D light environment simulations," Energy, Elsevier, vol. 302(C).
    18. Ghasemi-Mobtaker, Hassan & Mostashari-Rad, Fatemeh & Saber, Zahra & Chau, Kwok-wing & Nabavi-Pelesaraei, Ashkan, 2020. "Application of photovoltaic system to modify energy use, environmental damages and cumulative exergy demand of two irrigation systems-A case study: Barley production of Iran," Renewable Energy, Elsevier, vol. 160(C), pages 1316-1334.
    19. Saedi, Ali & Jahangiri, Ali & Ameri, Mohammad & Asadi, Farzad, 2022. "Feasibility study and 3E analysis of blowdown heat recovery in a combined cycle power plant for utilization in Organic Rankine Cycle and greenhouse heating," Energy, Elsevier, vol. 260(C).
    20. Min, Xinyuan & Sok, Jaap & de Zwart, Feije & Oude Lansink, Alfons, 2024. "Multi-stakeholder multi-objective greenhouse design optimization," Agricultural Systems, Elsevier, vol. 215(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:13:y:2023:i:2:p:306-:d:1048220. 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.