Acta Agriculturae Zhejiangensis ›› 2024, Vol. 36 ›› Issue (3): 671-680.DOI: 10.3969/j.issn.1004-1524.20230436

• Biosystems Engineering • Previous Articles     Next Articles

Simulation of thermal processes and optimization of parameters for active heat storage and discharge system in solar greenhouse

MAO Erye(), ZHANG Xiaodan(), XIE Jianming, MA Ning, CHANG Youlin, HU Shilian   

  1. College of Horticulture, Gansu Agricultural University, Lanzhou 730070, China
  • Received:2023-04-03 Online:2024-03-25 Published:2024-04-09

Abstract:

In order to further improve the efficiency of solar energy use in solar greenhouses and reduce the cost of heating, this study constructed a mathematical model of the system operation on the basis of the current active water circulation heat storage and release system for solar greenhouses, and used the model to optimize the design of the system parameters (the circulating water flow rate and the volume of the heat storage water tank). The results of the study showed that under the winter solar greenhouse production conditions in Lanzhou, when the system circulating water flow rate was 0.23 m3·h-1 and the volume of the heat storage tank was 0.13 m3, the system performance was optimal, the heat collection and release efficiency reached 70.62% and 98.38%, and the average nighttime heat flux density of the heat collection/release unit reached 237.84 W·m-2. Using the optimized parameters, the system can be optimized and the heat collection/release unit can be optimized and a set of solar active heat storage and release heating scheme was designed for the EPS assembled solar greenhouse in Lanzhou: 50 collector-explosive/heat release units (2.05 m in heigh, 1.105 m in width and 3 cm in thickness), 11.5 m3·h-1 circulating water pump flow rate, and 6.5 m3 heat storage tank volume. This scheme can meet the overwintering production of solar greenhouse, save 2 collector/exothermic units and 8.5 m3 storage tank volume than before, and reduce the heating cost.

Key words: active heat storage and release, mathematical model, parameter optimization, density of heat flow, thermal load

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