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Low-carbon strategy of demand-based regulating heating and lighting for the heterogeneous environment in beijing Venlo-type greenhouse

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  • Ge, Quanwu
  • Ke, Zhixin
  • Liu, Yutong
  • Chai, Fu
  • Yang, Wenhua
  • Zhang, Zhili
  • Wang, Yang

Abstract

Due to the heterogeneity of the large space in greenhouse environment, traditional environmental regulation will result in over-regulation and under-regulation problems. The research problem is thus energy demand differences of different greenhouse areas are yet to be quantified and the energy-saving potential still has space to be clarified. The objective of this article is quantifying energy demand distribution of heating and lighting in a Venlo greenhouse under the influence of climate conditions, and analyzing energy-saving potential of demand-based regulation strategies in greenhouse. Main results of this article are the local climate affects the distribution of energy load inside the greenhouse, and the difference in energy demand between different planting areas is obviously large. The heating and lighting electricity adopted on the sunward side are only 95.79% and 46.91% of those on the shady side. In addition, compared with traditional regulation strategies, demand-based heating and lighting regulation strategies can achieve accurate regulation, and the energy consumption of heating and fill light can be reduced by 3.94% and 7.88%, respectively. This research recommends that the difference in heat and lighting environment between the sunny side and the back side of the greenhouse should be individually considered, and targeted environment regulation strategies should be formulated when designing the heating and lighting system of the greenhouse in winter.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:267:y:2023:i:c:s0360544222033990
    DOI: 10.1016/j.energy.2022.126513
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    References listed on IDEAS

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    1. Liu, Xingan & Wu, Xiaoyang & Xia, Tianyang & Fan, Zilong & Shi, Wenbin & Li, Yiming & Li, Tianlai, 2022. "New insights of designing thermal insulation and heat storage of Chinese solar greenhouse in high latitudes and cold regions," Energy, Elsevier, vol. 242(C).
    2. Zhang, Yue & Henke, Michael & Li, Yiming & Yue, Xiang & Xu, Demin & Liu, Xingan & Li, Tianlai, 2020. "High resolution 3D simulation of light climate and thermal performance of a solar greenhouse model under tomato canopy structure," Renewable Energy, Elsevier, vol. 160(C), pages 730-745.
    3. Sethi, V.P. & Sharma, S.K., 2007. "Greenhouse heating and cooling using aquifer water," Energy, Elsevier, vol. 32(8), pages 1414-1421.
    4. Cuce, Erdem & Harjunowibowo, Dewanto & Cuce, Pinar Mert, 2016. "Renewable and sustainable energy saving strategies for greenhouse systems: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 34-59.
    5. Kuswardhani, Nita & Soni, Peeyush & Shivakoti, Ganesh P., 2013. "Comparative energy input–output and financial analyses of greenhouse and open field vegetables production in West Java, Indonesia," Energy, Elsevier, vol. 53(C), pages 83-92.
    6. Canakci, M. & Akinci, I., 2006. "Energy use pattern analyses of greenhouse vegetable production," Energy, Elsevier, vol. 31(8), pages 1243-1256.
    7. Tataraki, Kalliopi G. & Kavvadias, Konstantinos C. & Maroulis, Zacharias B., 2019. "Combined cooling heating and power systems in greenhouses. Grassroots and retrofit design," Energy, Elsevier, vol. 189(C).
    8. 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).
    9. Kyungdeok Noh & Byoung Ryong Jeong, 2021. "Optimizing Temperature and Photoperiod in a Home Cultivation System to Program Normal, Delayed, and Hastened Growth and Development Modes for Leafy Oak-Leaf and Romaine Lettuces," Sustainability, MDPI, vol. 13(19), pages 1-15, September.
    10. Katzin, David & Marcelis, Leo F.M. & van Mourik, Simon, 2021. "Energy savings in greenhouses by transition from high-pressure sodium to LED lighting," Applied Energy, Elsevier, vol. 281(C).
    11. Marucci, Alvaro & Cappuccini, Andrea, 2016. "Dynamic photovoltaic greenhouse: Energy balance in completely clear sky condition during the hot period," Energy, Elsevier, vol. 102(C), pages 302-312.
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