Development of a numerical model for utility demand prediction considering stochastic nature of occupants behavior and scenario analysis
| Project/Area Number |
24560716
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Architectural environment/equipment
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| Research Institution | Kyushu University |
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Principal Investigator |
HAGISHIMA Aya 九州大学, 総合理工学研究科(研究院), 准教授 (60294980)
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| Co-Investigator(Kenkyū-buntansha) |
TANIMOTO Jun 九州大学, 総合理工学研究科(研究院), 教授 (60227238)
IKEGAYA Naoki 九州大学, 総合理工学研究科(研究院), 助教 (70628213)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2012: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
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| Keywords | 空調負荷 / エネルギー需要予測 / 省エネルギー / 居住者行動 |
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| Outline of Final Research Achievements |
Accurate demand prediction of electricity, space cooling/heating and hot water is critical for dissimilating high-performance cogeneration systems in the housing sector. This research aims to contribute to this social requirement by improving a numerical modelling scheme, TUD-PS (Total Utility Demand Prediction System). Through this research projects, we have revised TUD-PS to improve its accuracy and versatility. The main activity can be summarized as follows. 1) Improvement of the state transition probability functions for occupants’ behavior of A/C operation and window-open/close, 2) dynamic modelling of COP of A/C, 3) structuring main source code. Furthermore, we conducted a systematic numerical experiment by using the revised TUD-PS to quantify the effects of various factors of both eco-friendly behaviors and building specifications on thermal load.
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Report
(4 results)
Research Products
(7 results)
