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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. Lin, Dong & Dong, Yun & Ren, Zhiling & Zhang, Lijun & Fan, Yuling, 2024. "Hierarchical optimization for the energy management of a greenhouse integrated with grid-tied photovoltaic–battery systems," Applied Energy, Elsevier, vol. 374(C).

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