IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v101y2017icp594-611.html
   My bibliography  Save this article

Assessment of post-Fukushima renewable energy policy in Japan's nation-wide power grid

Author

Listed:
  • Komiyama, Ryoichi
  • Fujii, Yasumasa

Abstract

This manuscript analyzes an optimal power generation mix in Japan's nation-wide power grid by considering the post-Fukushima energy policy which puts a high priority on expanding renewable energy. The study is performed, employing an optimal power generation mix model which is characterized by detailed geographical resolution derived from 135 nodes and 166 high-voltage power transmission lines with 10-min temporal resolution. Simulated results reveal that renewable energy promotion policy underlies the necessity for capacity expansion of inter- or intra-regional power transmission lines in Japan in order to realize economical power system operation. In addition, the results show that the integration of massive variable renewable (VR) such as PV and wind decreases the capacity factor of power plant including ramp generator and possibly affects that profitability, which implies the challenge to ensure power system adequacy enough to control VR variability.

Suggested Citation

  • Komiyama, Ryoichi & Fujii, Yasumasa, 2017. "Assessment of post-Fukushima renewable energy policy in Japan's nation-wide power grid," Energy Policy, Elsevier, vol. 101(C), pages 594-611.
    • Handle: RePEc:eee:enepol:v:101:y:2017:i:c:p:594-611
    DOI: 10.1016/j.enpol.2016.11.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030142151630605X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2016.11.006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hitaj, Claudia, 2015. "Location matters: The impact of renewable power on transmission congestion and emissions," Energy Policy, Elsevier, vol. 86(C), pages 1-16.
    2. Schaber, Katrin & Steinke, Florian & Hamacher, Thomas, 2012. "Transmission grid extensions for the integration of variable renewable energies in Europe: Who benefits where?," Energy Policy, Elsevier, vol. 43(C), pages 123-135.
    3. Denholm, Paul & Hand, Maureen, 2011. "Grid flexibility and storage required to achieve very high penetration of variable renewable electricity," Energy Policy, Elsevier, vol. 39(3), pages 1817-1830, March.
    4. Komiyama, Ryoichi & Otsuki, Takashi & Fujii, Yasumasa, 2015. "Energy modeling and analysis for optimal grid integration of large-scale variable renewables using hydrogen storage in Japan," Energy, Elsevier, vol. 81(C), pages 537-555.
    5. Hadjipaschalis, Ioannis & Poullikkas, Andreas & Efthimiou, Venizelos, 2009. "Overview of current and future energy storage technologies for electric power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1513-1522, August.
    6. Komiyama, Ryoichi & Fujii, Yasumasa, 2014. "Assessment of massive integration of photovoltaic system considering rechargeable battery in Japan with high time-resolution optimal power generation mix model," Energy Policy, Elsevier, vol. 66(C), pages 73-89.
    7. Deane, J.P. & Drayton, G. & Ó Gallachóir, B.P., 2014. "The impact of sub-hourly modelling in power systems with significant levels of renewable generation," Applied Energy, Elsevier, vol. 113(C), pages 152-158.
    8. Vidal-Amaro, Juan José & Østergaard, Poul Alberg & Sheinbaum-Pardo, Claudia, 2015. "Optimal energy mix for transitioning from fossil fuels to renewable energy sources – The case of the Mexican electricity system," Applied Energy, Elsevier, vol. 150(C), pages 80-96.
    9. Keane, A. & Tuohy, A. & Meibom, P. & Denny, E. & Flynn, D. & Mullane, A. & O'Malley, M., 2011. "Demand side resource operation on the Irish power system with high wind power penetration," Energy Policy, Elsevier, vol. 39(5), pages 2925-2934, May.
    10. Hart, Elaine K. & Jacobson, Mark Z., 2011. "A Monte Carlo approach to generator portfolio planning and carbon emissions assessments of systems with large penetrations of variable renewables," Renewable Energy, Elsevier, vol. 36(8), pages 2278-2286.
    11. Komiyama, Ryoichi & Fujii, Yasumasa, 2015. "Long-term scenario analysis of nuclear energy and variable renewables in Japan's power generation mix considering flexible power resources," Energy Policy, Elsevier, vol. 83(C), pages 169-184.
    12. Troy, Niamh & Denny, Eleanor & O'Malley, Mark, 2010. "Base-load cycling on a system with significant wind penetration," MPRA Paper 34848, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Soni, Anmol, 2018. "Out of sight, out of mind? Investigating the longitudinal impact of the Fukushima nuclear accident on public opinion in the United States," Energy Policy, Elsevier, vol. 122(C), pages 169-175.
    2. Bessi, Alessandro & Guidolin, Mariangela & Manfredi, Piero, 2021. "The role of gas on future perspectives of renewable energy diffusion: Bridging technology or lock-in?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    3. Shinichi Taniguchi, 2020. "Examining the causality structures of electricity interchange and variable renewable energy: a comparison between Japan and Denmark," Asia-Pacific Journal of Regional Science, Springer, vol. 4(1), pages 159-191, February.
    4. Takashi Mitani & Muhammad Aziz & Takuya Oda & Atsuki Uetsuji & Yoko Watanabe & Takao Kashiwagi, 2017. "Annual Assessment of Large-Scale Introduction of Renewable Energy: Modeling of Unit Commitment Schedule for Thermal Power Generators and Pumped Storages," Energies, MDPI, vol. 10(6), pages 1-19, May.
    5. Komiyama, Ryoichi & Fujii, Yasumasa, 2019. "Optimal integration assessment of solar PV in Japan’s electric power grid," Renewable Energy, Elsevier, vol. 139(C), pages 1012-1028.
    6. Wakiyama, Takako & Kuriyama, Akihisa, 2018. "Assessment of renewable energy expansion potential and its implications on reforming Japan's electricity system," Energy Policy, Elsevier, vol. 115(C), pages 302-316.
    7. Goh, Tian & Ang, B.W. & Su, Bin & Wang, H., 2018. "Drivers of stagnating global carbon intensity of electricity and the way forward," Energy Policy, Elsevier, vol. 113(C), pages 149-156.
    8. Ozcan, Mustafa, 2019. "Factors influencing the electricity generation preferences of Turkish citizens: Citizens' attitudes and policy recommendations in the context of climate change and environmental impact," Renewable Energy, Elsevier, vol. 132(C), pages 381-393.
    9. Liu, Junxia, 2019. "China's renewable energy law and policy: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 99(C), pages 212-219.
    10. Matsuo, Yuhji & Endo, Seiya & Nagatomi, Yu & Shibata, Yoshiaki & Komiyama, Ryoichi & Fujii, Yasumasa, 2020. "Investigating the economics of the power sector under high penetration of variable renewable energies," Applied Energy, Elsevier, vol. 267(C).
    11. Knuepfer, K. & Rogalski, N. & Knuepfer, A. & Esteban, M. & Shibayama, T., 2022. "A reliable energy system for Japan with merit order dispatch, high variable renewable share and no nuclear power," Applied Energy, Elsevier, vol. 328(C).
    12. Li, Yanxue & Gao, Weijun & Ruan, Yingjun & Ushifusa, Yoshiaki, 2018. "The performance investigation of increasing share of photovoltaic generation in the public grid with pump hydro storage dispatch system, a case study in Japan," Energy, Elsevier, vol. 164(C), pages 811-821.
    13. Matsuo Yuji & Alloysius Joko Purwanto & Leong Siew Meng (ed.), 2021. "The Economics and Risks of Power Systems with High Shares of Renewable Energies," Books, Economic Research Institute for ASEAN and East Asia (ERIA), number 2021-RPR-13, July.
    14. Li, Yanxue & Gao, Weijun & Ruan, Yingjun, 2018. "Performance investigation of grid-connected residential PV-battery system focusing on enhancing self-consumption and peak shaving in Kyushu, Japan," Renewable Energy, Elsevier, vol. 127(C), pages 514-523.
    15. YOSHIHARA Keisuke & OHASHI Hiroshi, 2017. "Assessing the Impact of Renewable Energy Sources: Simulation analysis of the Japanese electricity market," Discussion papers 17063, Research Institute of Economy, Trade and Industry (RIETI).
    16. Byun, Hyunsuk & Lee, Chul-Yong, 2017. "Analyzing Korean consumers’ latent preferences for electricity generation sources with a hierarchical Bayesian logit model in a discrete choice experiment," Energy Policy, Elsevier, vol. 105(C), pages 294-302.
    17. Xu, Tingting & Gao, Weijun & Qian, Fanyue & Li, Yanxue, 2022. "The implementation limitation of variable renewable energies and its impacts on the public power grid," Energy, Elsevier, vol. 239(PA).
    18. Matsuo, Yuhji & Endo, Seiya & Nagatomi, Yu & Shibata, Yoshiaki & Komiyama, Ryoichi & Fujii, Yasumasa, 2018. "A quantitative analysis of Japan's optimal power generation mix in 2050 and the role of CO2-free hydrogen," Energy, Elsevier, vol. 165(PB), pages 1200-1219.
    19. Natsuka Tokumaru, 2020. "Coevolution of institutions and residents toward sustainable glocal development: a case study on the Kuni Umi solar power project on Awaji Island," Evolutionary and Institutional Economics Review, Springer, vol. 17(1), pages 197-217, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Komiyama, Ryoichi & Fujii, Yasumasa, 2015. "Long-term scenario analysis of nuclear energy and variable renewables in Japan's power generation mix considering flexible power resources," Energy Policy, Elsevier, vol. 83(C), pages 169-184.
    2. Komiyama, Ryoichi & Fujii, Yasumasa, 2019. "Optimal integration assessment of solar PV in Japan’s electric power grid," Renewable Energy, Elsevier, vol. 139(C), pages 1012-1028.
    3. Otsuki, Takashi & Mohd Isa, Aishah Binti & Samuelson, Ralph D., 2016. "Electric power grid interconnections in Northeast Asia: A quantitative analysis of opportunities and challenges," Energy Policy, Elsevier, vol. 89(C), pages 311-329.
    4. Matsuo, Yuhji & Endo, Seiya & Nagatomi, Yu & Shibata, Yoshiaki & Komiyama, Ryoichi & Fujii, Yasumasa, 2018. "A quantitative analysis of Japan's optimal power generation mix in 2050 and the role of CO2-free hydrogen," Energy, Elsevier, vol. 165(PB), pages 1200-1219.
    5. Frew, Bethany A. & Becker, Sarah & Dvorak, Michael J. & Andresen, Gorm B. & Jacobson, Mark Z., 2016. "Flexibility mechanisms and pathways to a highly renewable US electricity future," Energy, Elsevier, vol. 101(C), pages 65-78.
    6. Gallo, A.B. & Simões-Moreira, J.R. & Costa, H.K.M. & Santos, M.M. & Moutinho dos Santos, E., 2016. "Energy storage in the energy transition context: A technology review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 800-822.
    7. Gyanwali, Khem & Komiyama, Ryoichi & Fujii, Yasumasa, 2020. "Representing hydropower in the dynamic power sector model and assessing clean energy deployment in the power generation mix of Nepal," Energy, Elsevier, vol. 202(C).
    8. Li, Yanxue & Gao, Weijun & Ruan, Yingjun & Ushifusa, Yoshiaki, 2018. "The performance investigation of increasing share of photovoltaic generation in the public grid with pump hydro storage dispatch system, a case study in Japan," Energy, Elsevier, vol. 164(C), pages 811-821.
    9. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
    10. Aidan Tuohy & Ben Kaun & Robert Entriken, 2014. "Storage and demand-side options for integrating wind power," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 3(1), pages 93-109, January.
    11. Deane, J.P. & Ó Ciaráin, M. & Ó Gallachóir, B.P., 2017. "An integrated gas and electricity model of the EU energy system to examine supply interruptions," Applied Energy, Elsevier, vol. 193(C), pages 479-490.
    12. Gerbaulet, Clemens & von Hirschhausen, Christian & Kemfert, Claudia & Lorenz, Casimir & Oei, Pao-Yu, 2019. "European electricity sector decarbonization under different levels of foresight," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 141, pages 973-987.
    13. Deetjen, Thomas A. & Martin, Henry & Rhodes, Joshua D. & Webber, Michael E., 2018. "Modeling the optimal mix and location of wind and solar with transmission and carbon pricing considerations," Renewable Energy, Elsevier, vol. 120(C), pages 35-50.
    14. Lenzen, Manfred & McBain, Bonnie & Trainer, Ted & Jütte, Silke & Rey-Lescure, Olivier & Huang, Jing, 2016. "Simulating low-carbon electricity supply for Australia," Applied Energy, Elsevier, vol. 179(C), pages 553-564.
    15. Elliston, Ben & MacGill, Iain & Diesendorf, Mark, 2013. "Least cost 100% renewable electricity scenarios in the Australian National Electricity Market," Energy Policy, Elsevier, vol. 59(C), pages 270-282.
    16. Komiyama, Ryoichi & Otsuki, Takashi & Fujii, Yasumasa, 2015. "Energy modeling and analysis for optimal grid integration of large-scale variable renewables using hydrogen storage in Japan," Energy, Elsevier, vol. 81(C), pages 537-555.
    17. Shinichi Taniguchi, 2020. "Examining the causality structures of electricity interchange and variable renewable energy: a comparison between Japan and Denmark," Asia-Pacific Journal of Regional Science, Springer, vol. 4(1), pages 159-191, February.
    18. Eser, Patrick & Singh, Antriksh & Chokani, Ndaona & Abhari, Reza S., 2016. "Effect of increased renewables generation on operation of thermal power plants," Applied Energy, Elsevier, vol. 164(C), pages 723-732.
    19. McPherson, Madeleine & Karney, Bryan, 2017. "A scenario based approach to designing electricity grids with high variable renewable energy penetrations in Ontario, Canada: Development and application of the SILVER model," Energy, Elsevier, vol. 138(C), pages 185-196.
    20. Philip Tafarte & Annedore Kanngießer & Martin Dotzauer & Benedikt Meyer & Anna Grevé & Markus Millinger, 2020. "Interaction of Electrical Energy Storage, Flexible Bioenergy Plants and System-friendly Renewables in Wind- or Solar PV-dominated Regions," Energies, MDPI, vol. 13(5), pages 1-25, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:101:y:2017:i:c:p:594-611. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.