Integration of three-dimensional CFD results into energy simulations utilizing an Advection–Diffusion Response Factor
Integration of three-dimensional CFD results into energy simulations utilizing an Advection–Diffusion Response Factor
复制标题
DOI：
10.1016/j.enbuild.2011.06.027
复制
发表时间：
2011-10
影响因子：
6.7
通讯作者：
K. Hiyama;S. Kato
中科院分区：
文献类型：
--
作者：
K. Hiyama;S. Kato
室内气候具有由三维气流引起的三维空间分布。为了了解建筑性能，我们必须将这些空间分布集成到建筑模拟中。然而，传统的能量模拟是基于不同温度的气流发生完美混合的假设。因此，很难评估利用房间内热分布机制的节能方法的有效性。考虑到上述情况，我们开发了一种计算方法，可以实现更准确的时间序列分析。这是通过将新开发的方法与传统的能源模拟方法相结合来实现的。在新方法中，我们预先使用计算流体动力学(CFD)分析来计算静态流场中的热响应。然后我们计算平流-扩散响应因子，并将其整合到能量模拟中，作为房间内三维热分布的一个因子。文中给出了利用该模型计算高温排风高天花板的算例。因此，我们得出的结论是，我们的新计算方法与动态热负荷计算相结合，将提供基于稳态计算和CFD分析获得的室内温度分布数据的长期、非稳态能量模拟的可能性，甚至在个人计算机上也是如此。
Indoor climates have a three-dimensional spatial distribution caused by three-dimensional airflow. To understand the building performance, we must integrate these spatial distributions into building simulations. However, conventional energy simulations are based on the assumptions that perfect mixing of air streams with different temperatures occurs. Therefore, it has been difficult to evaluate the effectiveness of energy conservation methods that utilize a thermal distribution mechanism within a room. Taking into account the above conditions, we have developed a calculation method that can achieve more accurate time-series analysis. This is accomplished by combining the newly developed method with the conventional energy simulation method. In the new method, we calculate, in advance, the heat response in a static flow field using computational fluid dynamics (CFD) analysis. Then we calculate Advection–Diffusion Response Factors and integrate them into the energy simulation as a factor in the three-dimensional thermal distribution within a room. In this paper, we show a calculation example using the model for high ceilings with high-temperature exhaust. As a result, we conclude that our new calculation method, in combination with a dynamic heat load calculation, will offer possibilities for a long-term, non-steady-state energy simulation, even on personal computers, based on the room temperature distribution data obtained using steady-state calculations with CFD analysis.