在太阳能温室中对土壤-墙壁-室内空气热环境的研究
Zhi Zhang1, Yu Li1, Liqiang Wang1
1College of Agricultural Engineering, Shanxi Agricultural University, Jinzhong 030801, China.
Sensors (Basel, Switzerland)
|July 12, 2025
概括
这项研究分析了具有不同跨度的太阳能温室,发现更宽的跨度 (11m vs 10m) 会导致室内和土壤温度降低. 像CFD和LSTM这样的先进模型在预测热环境方面证明是有效的.
科学领域:
- 农业工程 农业工程
- 环境科学 环境科学
- 热力学是一种热力学.
背景情况:
- 太阳能温室通过管理土壤,墙壁和室内环境之间的协同交换空气来优化冬季作物种植.
- 最佳的温度维护依赖于理解空间和时间温度场的合定律.
- 温室跨度对热环境和土壤-墙壁-空气协同作用变化的影响的研究是有限的.
研究的目的:
- 研究不同跨度对太阳能温室内的热环境的影响.
- 分析不同跨度的太阳能温室中土壤,墙壁和室内空气之间的协同温度变化.
- 评估计算流体动力学 (CFD) 和长短期记忆 (LSTM) 模型用于热环境预测的有效性.
主要方法:
- 对两个跨度为11米 (S1) 和10米 (S2) 的太阳能温室进行实验分析.
- 应用K-means分类,通过灰狼优化器 (GWO) 优化温度区分.
- 利用计算流体动力学 (CFD) 模拟和长期短期记忆 (LSTM) 预测模型.
主要成果:
- 在相同的温度条件下,11米跨度温室 (S1) 显示室内空气和土壤温度低于10米跨度温室 (S2).
- 在两个温室的北墙上观察到一个同热层,与内外墙表面的特定距离.
- 从内部墙面向外表面和从内部表面200毫米的水平距离确定了从内部墙面向外表面的热辐射.
- 温度数据分析显示S1温室在夜间有四个不同的温度区域 (高,中高,中低,低).
结论:
- 温室跨度显著影响室内热环境和土壤温度.
- 在预测太阳能温室热力学方面,CFD和LSTM模型表现出卓越的性能.
- 这些发现为优化太阳能温室的热环境控制策略提供了理论基础.
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