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Development of Simulation Programs for Predicting and Evaluating Indoor Thermal Environment of Passive Heating and Cooling Houses

开发用于预测和评估被动式供暖和制冷房屋室内热环境的模拟程序

基本信息

批准号：
01550460
负责人：
WATANABE Toshiiyuki
金额：
$ 1.47万
依托单位：
Kyushu University
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1989
资助国家：
日本
起止时间：
1989 至 1990
项目状态：
已结题

项目摘要

This research aims to develop a computer aided design system for predicting and evaluating indoor thermal environment of passive system houses. The passive heating and cooling houses use the sun's heat and nature's heat sinks to temper the conditions within human shelters.The results of this study are as follows :1. The fundamental flow diagram was shown to design indoor thermal environment of passive heating and cooling houses. According to this diagram, we made some computer simulation programs as follows : (1) A simplified calculation program of seasonal air-conditioning requirements for residential dwellings, (2) a steady state simulation program for predicting indoor thermal environment of an occupied space, and (3) an unsteady state simulation program for predicting indoor thermal environment of the multi-spaces.2. We are ready to calculate SET^* (Standard New Effective Temperature) of an occupied space by the steady state simulation program, which contains some equations for rel … More ative humidity and mean radiant temperature. This program is available to predict indoor thermal environment during the fundamental planning of passive heating and cooling houses. For example we can decide how much cross ventilation is required.3. We can simulate indoor thermal environment considering occupancy schedule and setting Fanger's PMV (Predicted Mean Vote) of the multi-spaces by the unsteady state program, which is added time-variable heat transfer model of solar shading devices, air circulation model within wall spaces, and so on. The specifications of the standard house model can be changed considering some conditions as follows : Solar shading, cross ventilation, night ventilation and earth cooling for summer, and thermal insulation, air tightness, solar heat collecting and thermal storage for winter. Room air temperature and heating/ cooling load were calculated under the condition of -0.5*PMV*+0.5. According this results, individual effect or complex effect of the passive elements are clarified through the supplemental heating / cooling duration and requirements.4. We measured indoor thermal environment of two test houses. One is in Tokuyama city and the other is in Fukuoka city. The measurements were made in summer and in winter respectively. The measured values agreed well with the calculated ones from the unsteady state simulation program. This confirmed that our simulation program is available to predict and evaluate indoor thermal environment of passive heating and cooling houses. Less

本研究旨在开发一套用于被动式住宅室内热环境预测与评价的计算机辅助设计系统。被动式供暖和制冷房屋利用太阳的热量和自然的散热器来调节人类庇护所内的条件。本研究的结果如下：1。给出了被动式冷暖房室内热环境设计的基本流程图。根据这张图，我们编制了以下计算机模拟程序：(1)住宅季节空调需求的简化计算程序，(2)预测被占用空间室内热环境的稳态模拟程序，(3)预测多空间室内热环境的非稳态模拟程序。我们准备用稳态模拟程序计算已占用空间的标准新有效温度（SET^*），该程序包含一些相对湿度和平均辐射温度的方程。该程序可用于被动式冷暖房屋基本规划时的室内热环境预测。例如，我们可以决定需要多少交叉通风。通过非稳态程序模拟考虑占用规律的室内热环境，设置多空间的Fanger’s PMV (Predicted Mean Vote)，其中加入遮阳装置时变传热模型、墙体空间内空气循环模型等。标准户型的规格可根据以下条件进行调整：夏季遮阳、交叉通风、夜间通风、大地降温；冬季保温、气密、太阳能集热、蓄热。在-0.5*PMV*+0.5条件下计算室内空气温度和冷热负荷。根据这一结果，通过补充加热/冷却时间和要求来澄清被动元件的个体效应或复合效应。我们测量了两个试验室的室内热环境。一个在德山市，另一个在福冈市。测量分别在夏季和冬季进行。测量值与非稳态模拟程序计算值吻合较好。这证实了我们的模拟程序可用于预测和评价被动式冷热房屋的室内热环境。少