| Project/Area Number |
01550460
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
建築環境・環境工学
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| Research Institution | Kyushu University |
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Principal Investigator |
WATANABE Toshiiyuki Kyushu Univ., Fac. of Engineering, Prof., 工学部, 教授 (60038106)
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| Co-Investigator(Kenkyū-buntansha) |
RYU Yuji Kyushu Univ., Fac. of Engineering, Associate Prof., 工学部, 助教授 (20191695)
HAYASHI Tetsuo Kyushu Univ., Interdisciplinary Graduate School of Engineering Sciences, Associa, 総合理工学研究科, 助教授 (40150502)
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| Project Period (FY) |
1989 – 1990
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| Project Status |
Completed (Fiscal Year 1990)
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| Budget Amount *help |
¥2,300,000 (Direct Cost: ¥2,300,000)
Fiscal Year 1990: ¥600,000 (Direct Cost: ¥600,000)
Fiscal Year 1989: ¥1,700,000 (Direct Cost: ¥1,700,000)
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| Keywords | Passive System House / Thermal Environment Evaluation System / Predicted Mean Vote / Standard House Model / Occupancy Schedule / Simulation / Passive Element Design / Supplemental Air-Conditioning |
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| Research Abstract |
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
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