An integrated model for long-term power generation planning toward future smart electricity systems

Zhang, Qi, Mclellan, Benjamin C., Tezuka, Tetsuo and Ishihara, Keiichi N. (2013) An integrated model for long-term power generation planning toward future smart electricity systems. Applied Energy, 112 1424-1437. doi:10.1016/j.apenergy.2013.03.073


Author Zhang, Qi
Mclellan, Benjamin C.
Tezuka, Tetsuo
Ishihara, Keiichi N.
Title An integrated model for long-term power generation planning toward future smart electricity systems
Journal name Applied Energy   Check publisher's open access policy
ISSN 0306-2619
1872-9118
Publication date 2013
Year available 2013
Sub-type Article (original research)
DOI 10.1016/j.apenergy.2013.03.073
Open Access Status
Volume 112
Start page 1424
End page 1437
Total pages 14
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon
Collection year 2014
Language eng
Subject 2100 Energy
2205 Civil and Structural Engineering
Abstract In the present study, an integrated planning model was developed to find economically/environmentally optimized paths toward future smart electricity systems with high level penetration of intermittent renewable energy and new controllable electric devices at the supply and demand sides respectively for regional scale. The integrated model is used to (i) plan the best power generation and capacity mixes to meet future electricity demand subject to various constraints using an optimization model; (ii) obtain detailed operation patterns of power plants and new controllable electric devices using an hour-by-hour simulation model based on the obtained optimized power generation mix. As a case study, the model was applied to power generation planning in the Tokyo area, Japan, out to 2030 in light of the Fukushima Accident. The paths toward best generation mixes of smart electricity systems in 2030 based on fossil fuel, hydro power, nuclear and renewable energy were obtained and the feasibility of the integrated model was proven.
Keyword Fukushima Accident
Integrated model
Power generation plan
Renewable energy
Smart electricity systems
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Centre for Social Responsibility in Mining Publications
 
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Created: Tue, 05 Aug 2014, 13:57:48 EST by Dr Benjamin Craig Mclellan on behalf of Centre for Social Responsibility in Mining