首页|日光温室主动蓄放热系统热过程模拟与参数优化研究

日光温室主动蓄放热系统热过程模拟与参数优化研究

扫码查看
为进一步提高日光温室太阳能利用效率,降低加温成本,在当前日光温室主动式水循环蓄放热系统的基础上,构建了系统运行数学模型,利用该模型对系统参数(循环水流量与蓄热水箱体积)进行优化设计.研究结果表明:在兰州地区冬季日光温室生产条件下,当系统循环水流量为 0.23 m3·h-1,蓄热水箱体积为0.13 m3 时,系统性能最优,集、放热效率达到 70.62%与 98.38%,集/放热单元夜间平均热流密度达到237.84 W·m-2.利用优化后参数,为兰州地区EPS装配式日光温室设计了一套太阳能主动蓄放热加温方案:集放/热单元(高2.05 m,宽 1.105 m,厚 3 cm)为 50 个,循环水泵流量为 11.5 m3·h-1,蓄热水箱体积为6.5 m3.该方案可满足日光温室越冬生产,较优化前节约2 个集/放热单元,8.5 m3 蓄水池体积,降低了加温成本.
Simulation of thermal processes and optimization of parameters for active heat storage and discharge system in solar greenhouse
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 re-lease 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 green-house,save 2 collector/exothermic units and 8.5 m3 storage tank volume than before,and reduce the heating cost.

active heat storage and releasemathematical modelparameter optimizationdensity of heat flowthermal load

毛尔晔、张潇丹、颉建明、马宁、常有麟、胡世莲

展开 >

甘肃农业大学 园艺学院,甘肃 兰州 730070

主动蓄放热 数学模型 参数优化 热流密度 热负荷

国家自然科学基金面上项目

32072657

2024

浙江农业学报
浙江省农业科学院 浙江省农学会

浙江农业学报

CSTPCD北大核心
影响因子:0.765
ISSN:1004-1524
年,卷(期):2024.36(3)
  • 26