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A numerical test room for developing low energy architectures and some of its applications

机译:用于开发低能耗架构的数值测试室及其一些应用

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The amims of this paper is to introduce a numerical test room for developing low energy architectures including some improvements of calculaton methods and to confirm the usefulness of it through some practical applications. As the numerical test room, a smulation code was suded in two different ways, one is utilizing a CFD code itself developed by authors (micro model) and the other is applying a modified version of the CFD code (macro model). The micro model is applicable to calculate indoor airflow, temperature and thhermal comfort index distributions with various heating/cooling systems. The calculation procedure of the micro and the macro model is almost same except that flow fields are not calculated in the macro model, therefore, the room temperature is same everywhere and is expressed as one value. IN the simulation of room thermal environments, the radiant heat transfer, such as solar radiation or radiant heat exchange between wall surfaces, is very imprtant and should be treated precisely. At first, theclalculating methods of the micro model were described focussing on the treamtnet of radiant heat transfer. SThen, both the micro and macro models were applied to evaluate a distributed heat storage system with a passive solar room assuming a winter heating season. SImulations were performed with a standard weather data of Sapporo city, a cold climate district in Japan. The micro model predicts details of indoor environments, however, it required about 72 hours cputime for 8 days unsteady simulation using a alpha-tip machine, while the macro model required much less cputime for the same simulation. Although both models proved to be one of the useful tools to investigate low energy architecture developing, we should apply them according as the objective of each study.
机译:本文的目的是介绍一个用于开发低能耗体系结构的数值测试室,其中包括对计算方法的一些改进,并通过一些实际应用来确认其实用性。作为数字测试室,可以用两种不同的方式来打扰代码,一种方法是利用作者自己开发的CFD代码(微型模型),另一种方法是使用CFD代码的修改版本(宏模型)。微型模型适用于计算各种加热/冷却系统的室内气流,温度和温度舒适度指数分布。微观模型和宏观模型的计算过程几乎相同,除了在宏观模型中未计算流场外,因此室温在各处都相同,并表示为一个值。在模拟房间热环境时,辐射热传递(例如太阳辐射或墙壁表面之间的辐射热交换)非常重要,应进行精确处理。首先,针对辐射传热的方法,描述了微观模型的计算方法。当时,微观和宏观模型均被用于评估具有被动太阳能房的分布式储热系统,假设其是冬季供暖季节。使用日本寒冷气候区札幌市的标准天气数据进行模拟。微观模型可以预测室内环境的细节,但是,使用alpha-tip机器进行8天的不稳定模拟需要大约72小时的cputime,而宏观模型对于相同的模拟则需要更少的cputime。尽管两种模型均被证明是研究低能耗建筑发展的有用工具之一,但我们应根据每项研究的目的将其应用。

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