技術進歩を内生化したエネルギー経済モデルの開発とCO2回収貯留技術の導入可能性評価
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| Published in | 日本機械学会論文集Ｂ編 Vol. 77; no. 780; pp. 1672 - 1686 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | Japanese |
| Published |
一般社団法人 日本機械学会
2011
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| Online Access | Get full text |
| ISSN | 1884-8346 |
| DOI | 10.1299/kikaib.77.1672 |
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| Author | 中田, 俊彦 楠, 朋也 古林, 敬顕 |
|---|---|
| Author_xml | – sequence: 1 fullname: 楠, 朋也 organization: 東北大学大学院工学研究科技術社会システム専攻 – sequence: 1 fullname: 古林, 敬顕 organization: 東北大学大学院 工学研究科 – sequence: 1 fullname: 中田, 俊彦 organization: 東北大学大学院 工学研究科 |
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| Copyright | 2011 一般社団法人 日本機械学会 |
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| References | (5) 大阪市立大学経済研究所, 経済学辞典 第3版, 岩波書店, (1998). (2) 金森久雄 et.al; 経済辞典, 207, 有斐閣, (1999). (6) Barreto L. et.al, “Endogenizing R&D and market experience in the ‘Bottom-up’ energy-systems ERIS model”, Technovation, Vol. 24 (2004), pp. 615-624. (29) True W., “Special report pipeline economics”, Oil & Gas journal, Vol. 100, No.38 (2002), pp. 52-75 (7) Kobos H.P. et.al, “Technological learning and renewable energy costs: implications for US renewable energy policy”, Energy Policy, Vol. 34 (2006), pp. 1645-1658. (13) Kouvaritakis N. et.al, “Modeling energy technology dynamics: methodology for adaptive expectations models with learning-by-doing and learning-by-searching”, International Journal of Global Energy Issues, Vol. 14 (2000), pp. 104-115. (17) Lamont A., User's guide to the META·Net economic modeling system version 1.2, Lawrence Livermore National Laboratory report, UCRL-ID-122511 (1994). (14) Kypreos S., “A MERGE model with endogenous technological change and the cost of carbon stabilization”, Energy Policy, Vol. 35 (2007), pp. 5327-5336. (9) Klassen G. et.al, Public R&D and Innovation: The case of wind energy in Denmark, Germany and the United Kingdom, IIASA interim report, IR-03-011, (2003). (26) Department of energy (DOE), Cost and performance baseline for fossil energy plants, (2007). (31) 日刊電気通信社, 電力新設備要覧, 日刊電気通信社, (1988, 1990, 2001). (22) Watanabe C. et. al., “Industrial dynamism and the creation of a “virtuous cycle” between R&D, market growth and price reduction - The case of photovoltaic power generation (PV) development in Japan”, Technovation, Vol. 20 (2000), pp. 299-312. (11) Söderholm P. et.al, “Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies”, Renewable Energy, Vol. 32 (2007), pp. 2559-2578. (23) IEA, R&D statics, http://wds.iea.org/ (Last accessed 2010.01.19). (8) Jamasb T., “Technological change theory and learning curves: Patterns of progress in electricity generation technologies”, The Energy Journal, Vol. 28 (2007), pp. 51-71. (3) Harmon C., “Experience curves of photovoltaic technology”, International institute for applied systems analysis (IIASA) report, IR-00-014, (2000). (16) Nakata T., “Energy-economic models and the environment”, Progress in Energy and Combustion Science, Vol. 30 (2004), pp. 417-475. (28) Nuclear energy agency (NEA), Projected cost of generating electricity, (1989, 1998, 2005). (10) Kahouli-Brahmi S., “Technological learning in energy-environment-economy modeling: A survey”, Energy Policy, Vol. 36 (2008), pp. 138-162. (18) International energy agency (IEA), World energy outlook (2007). (34) NEDO, 新エネルギー関連データ, http://www.nedo.go.jp/nedata/index.html (Last accessed 2010.01.19), (2005). (19) Research institute of innovative technology for the Earth (RITE), Working papers on carbon capture and sequestration (2002-2006). (30) IEA, Ship transport of CO2, Report number PH4/30 July 2004, (2004). (24) Energy data and modeling center (EDMC), Handbook of energy-economic statistics, (2008). (25) クリーンコールパワー研究所, 石炭ガス化複合発電(IGCC)実証プラント開発の動向, http://www.ccpower.co.jp/ref/fy2001/gijutu.pdf (Last accessed 2010.01.19), (2001). (33) 佐藤健実, 中田俊彦, “再生可能エネルギー利用技術の習熟曲線:風力発電建設費のケーススタディ”, エネルギーシステム・経済・環境コンファレンス講演論文集, Vol. 21 (2005), pp.163-166. (4) Intergovernmental panel on climate change (IPCC), Contribution of working group III to the fourth assessment report of the intergovernmental panel on climate change, Cambridge University Press, (2007). (15) Institute of Communication and Computer Systems of National Technical University of Athens et.al, Systems analysis for progress and innovation in energy technologies, Final technical report, (2005). (21) Watanabe C., “Systems option for sustainable development - effect and limit of the Ministry of International Trade and Industry's efforts to substitute technology for the energy”, Research Policy, Vol. 28 (1999), pp. 719-749. (1) 渡辺利夫, 佐々木郷里, 開発経済学辞典, 95, 弘文堂, (2004). (27) Federation of electric power companies, Comparison of generation cost among generation technologies, (2004). (32) NEDO, 日本における風力発電設備・導入実績, http://www.nedo.go.jp/library/fuuryoku/index.html (Last accessed 2010.01.22), (2009). (12) Messner S., “Endogenized technological learning in an energy systems model”, Journal of Evolutionary Economics, Vol. 7 (1997), pp. 291-313. (20) NEDO, CO2削減等地球環境産業技術研究開発事業 (うち地球環境産業技術に関する先導研究) 事後評価報告書, (2006). |
| References_xml | – reference: (23) IEA, R&D statics, http://wds.iea.org/ (Last accessed 2010.01.19). – reference: (21) Watanabe C., “Systems option for sustainable development - effect and limit of the Ministry of International Trade and Industry's efforts to substitute technology for the energy”, Research Policy, Vol. 28 (1999), pp. 719-749. – reference: (30) IEA, Ship transport of CO2, Report number PH4/30 July 2004, (2004). – reference: (27) Federation of electric power companies, Comparison of generation cost among generation technologies, (2004). – reference: (25) クリーンコールパワー研究所, 石炭ガス化複合発電(IGCC)実証プラント開発の動向, http://www.ccpower.co.jp/ref/fy2001/gijutu.pdf (Last accessed 2010.01.19), (2001). – reference: (16) Nakata T., “Energy-economic models and the environment”, Progress in Energy and Combustion Science, Vol. 30 (2004), pp. 417-475. – reference: (3) Harmon C., “Experience curves of photovoltaic technology”, International institute for applied systems analysis (IIASA) report, IR-00-014, (2000). – reference: (9) Klassen G. et.al, Public R&D and Innovation: The case of wind energy in Denmark, Germany and the United Kingdom, IIASA interim report, IR-03-011, (2003). – reference: (24) Energy data and modeling center (EDMC), Handbook of energy-economic statistics, (2008). – reference: (15) Institute of Communication and Computer Systems of National Technical University of Athens et.al, Systems analysis for progress and innovation in energy technologies, Final technical report, (2005). – reference: (17) Lamont A., User's guide to the META·Net economic modeling system version 1.2, Lawrence Livermore National Laboratory report, UCRL-ID-122511 (1994). – reference: (14) Kypreos S., “A MERGE model with endogenous technological change and the cost of carbon stabilization”, Energy Policy, Vol. 35 (2007), pp. 5327-5336. – reference: (10) Kahouli-Brahmi S., “Technological learning in energy-environment-economy modeling: A survey”, Energy Policy, Vol. 36 (2008), pp. 138-162. – reference: (12) Messner S., “Endogenized technological learning in an energy systems model”, Journal of Evolutionary Economics, Vol. 7 (1997), pp. 291-313. – reference: (18) International energy agency (IEA), World energy outlook (2007). – reference: (28) Nuclear energy agency (NEA), Projected cost of generating electricity, (1989, 1998, 2005). – reference: (34) NEDO, 新エネルギー関連データ, http://www.nedo.go.jp/nedata/index.html (Last accessed 2010.01.19), (2005). – reference: (22) Watanabe C. et. al., “Industrial dynamism and the creation of a “virtuous cycle” between R&D, market growth and price reduction - The case of photovoltaic power generation (PV) development in Japan”, Technovation, Vol. 20 (2000), pp. 299-312. – reference: (5) 大阪市立大学経済研究所, 経済学辞典 第3版, 岩波書店, (1998). – reference: (8) Jamasb T., “Technological change theory and learning curves: Patterns of progress in electricity generation technologies”, The Energy Journal, Vol. 28 (2007), pp. 51-71. – reference: (13) Kouvaritakis N. et.al, “Modeling energy technology dynamics: methodology for adaptive expectations models with learning-by-doing and learning-by-searching”, International Journal of Global Energy Issues, Vol. 14 (2000), pp. 104-115. – reference: (2) 金森久雄 et.al; 経済辞典, 207, 有斐閣, (1999). – reference: (19) Research institute of innovative technology for the Earth (RITE), Working papers on carbon capture and sequestration (2002-2006). – reference: (26) Department of energy (DOE), Cost and performance baseline for fossil energy plants, (2007). – reference: (33) 佐藤健実, 中田俊彦, “再生可能エネルギー利用技術の習熟曲線:風力発電建設費のケーススタディ”, エネルギーシステム・経済・環境コンファレンス講演論文集, Vol. 21 (2005), pp.163-166. – reference: (32) NEDO, 日本における風力発電設備・導入実績, http://www.nedo.go.jp/library/fuuryoku/index.html (Last accessed 2010.01.22), (2009). – reference: (11) Söderholm P. et.al, “Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies”, Renewable Energy, Vol. 32 (2007), pp. 2559-2578. – reference: (4) Intergovernmental panel on climate change (IPCC), Contribution of working group III to the fourth assessment report of the intergovernmental panel on climate change, Cambridge University Press, (2007). – reference: (31) 日刊電気通信社, 電力新設備要覧, 日刊電気通信社, (1988, 1990, 2001). – reference: (7) Kobos H.P. et.al, “Technological learning and renewable energy costs: implications for US renewable energy policy”, Energy Policy, Vol. 34 (2006), pp. 1645-1658. – reference: (6) Barreto L. et.al, “Endogenizing R&D and market experience in the ‘Bottom-up’ energy-systems ERIS model”, Technovation, Vol. 24 (2004), pp. 615-624. – reference: (29) True W., “Special report pipeline economics”, Oil & Gas journal, Vol. 100, No.38 (2002), pp. 52-75 – reference: (1) 渡辺利夫, 佐々木郷里, 開発経済学辞典, 95, 弘文堂, (2004). – reference: (20) NEDO, CO2削減等地球環境産業技術研究開発事業 (うち地球環境産業技術に関する先導研究) 事後評価報告書, (2006). |
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| Title | 技術進歩を内生化したエネルギー経済モデルの開発とCO2回収貯留技術の導入可能性評価 |
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