Abstract
The zonal modeling approach is a new simplified computational method used to predict temperature distribution, energy in multi-zone building and indoor airflow thermal behaviors of building. Although this approach is known to use less computer resource than CFD models, the computational time is still an issue especially when buildings are characterized by complicated geometry and indoor layout of furnishings. Therefore, using a new computing technique to the current zonal models in order to reduce the computational time is a promising way to further improve the model performance and promote the wide application of zonal models. Parallel computing techniques provide a way to accomplish these purposes. Unlike the serial computations that are commonly used in the current zonal models, these parallel techniques decompose the serial program into several discrete instructions which can be executed simultaneously on different processors/threads. As a result, the computational time of the parallelized program can be significantly reduced, compared to that of the traditional serial program. In this article, a parallel computing technique, Open Multi-Processing (OpenMP), is used into the zonal model, Pressurized zOnal Model with the Air diffuser (POMA), in order to improve the model computational performance, including the reduction of computational time and the investigation of the model scalability.
Highlights
Information can be obtained by using zonal models, such as the indoor temperature distribution
The zonal modeling approach is a new simplified computational method used to predict temperature distribution, energy in multi-zone building and indoor airflow thermal behaviors of building. This approach is known to use less computer resource than Computational Fluid Dynamics (CFD) models, the computational time is still an issue especially when buildings are characterized by complicated geometry and indoor layout of furnishings
Unlike the serial computations that are commonly used in the current zonal models, these parallel techniques decompose the serial program into several discrete instructions which can be executed simultaneously on different processors/threads
Summary
Information can be obtained by using zonal models, such as the indoor temperature distribution. The zonal modeling approach is known to use less computer resource than CFD models, the computational time is still an issue, compared to single or multi-zone models, especially when buildings are characterized by a large number of rooms with complicated geometry and indoor layout of furnishings. It is not feasible for the zonal modeling approach to be used in this kind of buildings, because of the huge computational work and time, which limits the wide applications of the zonal models into building environment.
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