Analysis for the integration of variable renewable using dynamic multiregional optimal power generation mix model with high temporal resolution
| Project/Area Number |
25870176
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Energy engineering
Design and evaluation of sustainable and environmental conscious system
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| Research Institution | The University of Tokyo |
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Principal Investigator |
KOMIYAMA Ryoichi 東京大学, 工学(系)研究科(研究院), 准教授 (60537819)
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| Project Period (FY) |
2013-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2013: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
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| Keywords | 再生可能エネルギー / 電源構成 / エネルギー政策 / 最適化 / デマンドレスポンス |
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| Outline of Final Research Achievements |
Fukushima nuclear accident has complicated the positioning of nuclear energy in Japan’s long-term power generation mix due to its public acceptance and other associated issues such as nuclear waste management; the studies are more required about the maximum grid integration of variable renewables such as PV and wind power which are expected to potentially replace nuclear energy. This paper develops a dynamic high time-resolution optimal power generation mix model, as large-scale linear programming model with 18 million constraints and 8 million endogenous variables, and analyzes the optimal deployment of variable renewables (VR), considering nuclear energy scenario and CO2 regulation policy. As calculated results, rechargeable battery, curtailment control and demand response plays an important role to integrating massive VR in the power grid.
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Report
(3 results)
Research Products
(2 results)
