• 论文与研究报告 •

### 地采暖地板蓄热性能模型构建与验证

1. 1. 山东建筑大学信息与电气工程学院 济南 250101;
2. 山东建筑大学热能工程学院 济南 250101
• 收稿日期:2016-11-07 修回日期:2017-04-26 出版日期:2018-10-25 发布日期:2018-11-03
• 基金资助:
泰山学者优势特色学科人才团队（2015162）。

### The Construction and Verification of Heat Storage Performance Testing Model of Wood Materials Used for Floor Heating

Liu Cungen1, Zhou Shiyu2, Ge Zhedong1, Du Guangyue1, Zhou Yucheng1

1. 1. School of Information and Electrical Engineering, Shandong Jianzhu University Jinan 250101;
2. School of Thermal Engineering, Shandong Jianzhu University Jinan 250101
• Received:2016-11-07 Revised:2017-04-26 Online:2018-10-25 Published:2018-11-03

Abstract: [Objective] In order to detect the thermal storage capacity of wood materials used for floor heating, a method based on an airtight and thermal-insulated testing device is firstly proposed.[Method] Firstly, the structure of airtight and thermal-insulated testing device was illustrated, and the testing method was introduced. Then, the physical model of testing device was built up, the mass conservation equation, momentum equation and energy conservation equation of three-dimensional unsteady heat transfer were established according to the three laws of fluid mechanics. The preheated wood samples from Betula platyphylla, Fraxinus mandshurica, Betula alnoides and Quercus mongolica, which could be used for floor heating, were set at the middle of the bottom of the testing device, as heat source. After setting up the initial values and boundary conditions of the model, the CFD software FLUENT was used with certain numerical simulation parameters to solve the unsteady heat transfer equations established before, and the temperature distributions in the testing device at different periods were analyzed and discussed. Furthermore, taking the 1 000 step result as an example, the temperature distribution result from the numerical model and the measured temperature data of the testing device were compared and evaluated based on the average relative error and correlation coefficient. And by doing these, the consistency of the established heat transfer model and the testing device was evaluated.[Result] The relative error is lower than 1.5%, and the correlation coefficient is higher than 0.98. In addition, the simulated time to reach temperature equilibrium of all different samples are less than the measured values, and the simulated equilibrium temperature distributions of different sample are lower than the measured values.[Conclusion] The model and testing device we developed can accurately demonstrate the temperature distribution and variation of different wood samples, and thus it can be used to evaluate the heat storage performance of different wood floor materials used for floor heating system.