Performance Prediction and Optimization of a CO2Heat Pump Water HeatingSystem by an ARX Time Series Analysis Model
| Project/Area Number |
22560838
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Energy engineering
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| Research Institution | Osaka Prefecture University |
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Principal Investigator |
YOKOYAMA Ryohei 大阪府立大学, 大学院・工学研究科, 教授 (70158385)
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| Co-Investigator(Kenkyū-buntansha) |
WAKUI Tetsuya 大阪府立大学, 大学院・工学研究科, 准教授 (40339750)
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2011: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2010: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | ヒートポンプ / 冷媒 / 二酸化炭素 / 給湯 / 貯湯 / システム性能 / 予測 / 最適化 / 数値シミュレーション |
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| Research Abstract |
An operation problem has been investigated on a residential CO2heat pump water heating system as a novel technology with high efficiency and low environmental impact. Methods of predicting daily changes in system performance values and optimizing heat pump operating conditions have been developed so that they can apply to the on-line operation. The validity and effectiveness of the developed methods have been shown through the comparison between the system performance values predicted by the methods and calculated by a numerical simulation.
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Report
(4 results)
Research Products
(33 results)
