Extended Model Concept and its Inverse Problem for Long-term Energy Supply-demand Systems Planning
Project/Area Number |
24561056
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Energy engineering
|
Research Institution | Kyoto University |
Principal Investigator |
TEZUKA Tetsuo 京都大学, エネルギー科学研究科, 教授 (60163896)
|
Co-Investigator(Renkei-kenkyūsha) |
三浦 大助
|
Project Period (FY) |
2012-04-01 – 2015-03-31
|
Project Status |
Completed (Fiscal Year 2014)
|
Budget Amount *help |
¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2013: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2012: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
|
Keywords | 逆問題 / 長期エネルギー需給シナリオ / 拡張モデル / シナリオ理解 / 遺伝的アルゴリズム / 最適解 / 基底変数 / 理解 / シミュレーションモデル / 意思決定支援 / 最適化 / 将来シナリオ / エネルギー需給 / 国際研究者交流 インドネシア / エネルギー需給シナリオ / エネルギー政策 |
Outline of Final Research Achievements |
This study proposed a new concept of "Extended Model" which additionally includes the process for selecting a variety of assumptions used for developing models. It is indispensable to analyze the relationship between the assumptions and the resultant optimal scenarios (solutions) for understanding the long-term energy supply-demand scenarios. We proposed the method to solve the"inverse problem of the extended model". The inverse problem is solved approximately by applying the genetic algorithm, and its usefulness for understanding the relationship between the assumptions and the resultant scenarios has been demonstrated through simulation studies.
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Report
(4 results)
Research Products
(6 results)