Cang Tong , Xiangli Li , Hengjin Ju , Lin Duanmu , Caifeng Huang
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引用次数: 0
摘要
水平地面热交换器(HGHE)空间尺度大,运行时间长,易受气象条件影响,传热机制复杂。因此,对 HGHE 进行长周期模拟通常需要耗费大量计算成本,为其动态优化实施带来了挑战。因此,本研究首先建立并验证了 HGHE 的常规数值(全阶)模型作为参考模型。随后,利用提出的自适应适当正交分解(POD)方法开发了混合模型。通过分析影响特征,研究确定了自适应 POD 的求解策略和关键参数值,随后进行了通用性测试。事实证明,该混合模型成功地缓解了原生 POD 外推法常见的误差累积问题。最后,通过一项长期工程案例研究,将混合模型的精度和求解效率与传统(全阶)模型进行了比较。结果表明,混合模型的计算精度与传统(全阶)模型相当,而计算效率却比传统(全阶)模型高出 326%,而且不需要额外的计算资源。这项研究可为 HGHE 的动态优化设计提供高效的建模支持。
A hybrid numerical model for horizontal ground heat exchanger
The horizontal ground heat exchanger (HGHE) possesses a complicated heat transfer mechanism as its extensive spatial scale, long operational duration, and vulnerability to meteorological conditions. Consequently, the long-period simulations of HGHE usually involve significant computational costs, posing challenges for its dynamic optimization implementation. Therefore, this study initially established and validated a conventional numerical (full-order) model for HGHE as the reference model. Subsequently, a hybrid model was developed using the proposed adaptive proper orthogonal decomposition (POD) method. By analyzing the influential characteristics, the study identified the solution strategy and the key parameter values for adaptive POD, followed by the generality tests. The hybrid model proved to successfully mitigate the issue of error accumulation commonly associated with native POD extrapolation. Finally, employing a long-running engineering case study, the accuracy and the solution efficiency of the hybrid model were compared against those of the conventional (full-order) model. The results demonstrated that the hybrid model maintained computational accuracy at a comparable level while exhibiting a computational efficiency 326 % higher than that of the conventional (full-order) model, without requiring additional computational resources. This study can provide efficient modeling support for the dynamic optimization design of HGHE.
期刊介绍:
Renewable Energy journal is dedicated to advancing knowledge and disseminating insights on various topics and technologies within renewable energy systems and components. Our mission is to support researchers, engineers, economists, manufacturers, NGOs, associations, and societies in staying updated on new developments in their respective fields and applying alternative energy solutions to current practices.
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