IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v108y2016icp108-118.html
   My bibliography  Save this article

Multi-region optimal deployment of renewable energy considering different interregional transmission scenarios

Author

Listed:
  • Wang, Ge
  • Zhang, Qi
  • Mclellan, Benjamin C.
  • Li, Hailong

Abstract

Renewable energy is expected to play much more important role in future low-carbon energy system, however, renewable energy has problems with regard to load-following and regional imbalance. This study aims to plan the deployment of intermittent renewable energy in multiple regions considering the impacts of regional natural conditions and generation capacity mix as well as interregional transmission capacity using a multi-region dynamic optimization model. The model was developed to find optimized development paths toward future smart electricity systems with high level penetration of intermittent renewable energy considering regional differences and interregional transmission at national scale. As a case study, the model was applied to plan power generation in nine interconnected regions in Japan out to 2030. Four scenarios were proposed with different supporting policies for the interregional power transmission infrastructures and different nuclear power phase-out scenarios. The analysis results show that (i) the government's support for power transmission infrastructures is vital important to develop more intermittent renewable energy in appropriate regions and utilize renewable energy more efficiently; (ii) nuclear and renewable can complement rather than replace each other if enough interregional transmission capacity is provided.

Suggested Citation

  • Wang, Ge & Zhang, Qi & Mclellan, Benjamin C. & Li, Hailong, 2016. "Multi-region optimal deployment of renewable energy considering different interregional transmission scenarios," Energy, Elsevier, vol. 108(C), pages 108-118.
    • Handle: RePEc:eee:energy:v:108:y:2016:i:c:p:108-118
    DOI: 10.1016/j.energy.2015.08.060
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544215011366
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2015.08.060?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. Nunes, Pedro & Farias, Tiago & Brito, Miguel C., 2015. "Day charging electric vehicles with excess solar electricity for a sustainable energy system," Energy, Elsevier, vol. 80(C), pages 263-274.
    2. Wang, Can & Ye, Minhua & Cai, Wenjia & Chen, Jining, 2014. "The value of a clear, long-term climate policy agenda: A case study of China’s power sector using a multi-region optimization model," Applied Energy, Elsevier, vol. 125(C), pages 276-288.
    3. Bove, Roberto & Bucher, Matthias & Ferretti, Fabio, 2012. "Integrating large shares of wind energy in macro-economical cost-effective way," Energy, Elsevier, vol. 43(1), pages 438-447.
    4. Kunsch, Pierre L. & Friesewinkel, Jean, 2014. "Nuclear energy policy in Belgium after Fukushima," Energy Policy, Elsevier, vol. 66(C), pages 462-474.
    5. Zhang, Qi & Ishihara, Keiichi N. & Mclellan, Benjamin C. & Tezuka, Tetsuo, 2012. "Scenario analysis on future electricity supply and demand in Japan," Energy, Elsevier, vol. 38(1), pages 376-385.
    6. Zhang, Qi & Mclellan, Benjamin C. & Tezuka, Tetsuo & Ishihara, Keiichi N., 2013. "An integrated model for long-term power generation planning toward future smart electricity systems," Applied Energy, Elsevier, vol. 112(C), pages 1424-1437.
    7. Dittmar, Michael, 2012. "Nuclear energy: Status and future limitations," Energy, Elsevier, vol. 37(1), pages 35-40.
    8. Broeer, Torsten & Fuller, Jason & Tuffner, Francis & Chassin, David & Djilali, Ned, 2014. "Modeling framework and validation of a smart grid and demand response system for wind power integration," Applied Energy, Elsevier, vol. 113(C), pages 199-207.
    9. Zhang, Qi & Mclellan, Benjamin C. & Tezuka, Tetsuo & Ishihara, Keiichi N., 2012. "Economic and environmental analysis of power generation expansion in Japan considering Fukushima nuclear accident using a multi-objective optimization model," Energy, Elsevier, vol. 44(1), pages 986-995.
    10. Pierre Louis Kunsch & Jean Friesewinkel, 2014. "Nuclear energy policy in Belgium after Fukushima," ULB Institutional Repository 2013/189447, ULB -- Universite Libre de Bruxelles.
    11. Yu, Jie & Chen, Kuilin & Mori, Junichi & Rashid, Mudassir M., 2013. "A Gaussian mixture copula model based localized Gaussian process regression approach for long-term wind speed prediction," Energy, Elsevier, vol. 61(C), pages 673-686.
    12. Rodrigues, E.M.G. & Godina, R. & Santos, S.F. & Bizuayehu, A.W. & Contreras, J. & Catalão, J.P.S., 2014. "Energy storage systems supporting increased penetration of renewables in islanded systems," Energy, Elsevier, vol. 75(C), pages 265-280.
    13. Zhang, Qi & Mclellan, Benjamin C. & Tezuka, Tetsuo & Ishihara, Keiichi N., 2013. "A methodology for economic and environmental analysis of electric vehicles with different operational conditions," Energy, Elsevier, vol. 61(C), pages 118-127.
    14. Kishore, T.S. & Singal, S.K., 2014. "Optimal economic planning of power transmission lines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 949-974.
    15. Kuramochi, Takeshi, 2015. "Review of energy and climate policy developments in Japan before and after Fukushima," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 1320-1332.
    16. Jung, Sungmoon & Kwon, Soon-Duck, 2013. "Weighted error functions in artificial neural networks for improved wind energy potential estimation," Applied Energy, Elsevier, vol. 111(C), pages 778-790.
    17. Park, Eunil & Ohm, Jay Y., 2014. "Factors influencing the public intention to use renewable energy technologies in South Korea: Effects of the Fukushima nuclear accident," Energy Policy, Elsevier, vol. 65(C), pages 198-211.
    18. Loisel, Rodica & Mercier, Arnaud & Gatzen, Christoph & Elms, Nick & Petric, Hrvoje, 2010. "Valuation framework for large scale electricity storage in a case with wind curtailment," Energy Policy, Elsevier, vol. 38(11), pages 7323-7337, November.
    19. Zhang, Qi & Tezuka, Tetsuo & Ishihara, Keiichi N. & Mclellan, Benjamin C., 2012. "Integration of PV power into future low-carbon smart electricity systems with EV and HP in Kansai Area, Japan," Renewable Energy, Elsevier, vol. 44(C), pages 99-108.
    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. Jia, Zhijie & Wen, Shiyan & Wang, Yao, 2023. "Power coming from the sky: Economic benefits of inter-regional power transmission in China," Energy Economics, Elsevier, vol. 119(C).
    2. Wang, Hongye & Su, Bin & Mu, Hailin & Li, Nan & Jiang, Bo & Kong, Xue, 2019. "Optimization of electricity generation and interprovincial trading strategies in Southern China," Energy, Elsevier, vol. 174(C), pages 696-707.
    3. Zhang, Qiang & Chen, Wenying, 2020. "Modeling China’s interprovincial electricity transmission under low carbon transition," Applied Energy, Elsevier, vol. 279(C).
    4. Yuanyuan He & Luxin Wan & Manli Zhang & Huijuan Zhao, 2022. "Regional Renewable Energy Installation Optimization Strategies with Renewable Portfolio Standards in China," Sustainability, MDPI, vol. 14(17), pages 1-18, August.
    5. Zhang, Chongchong & Cai, Xiangyu & Lin, Boqiang, 2023. "The low-carbon transition of China's power sector: Scale effect of grid upgrading," Energy, Elsevier, vol. 285(C).
    6. Ossai, Chinedu I., 2017. "Optimal renewable energy generation – Approaches for managing ageing assets mechanisms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 269-280.
    7. Yi, Bo-Wen & Xu, Jin-Hua & Fan, Ying, 2016. "Inter-regional power grid planning up to 2030 in China considering renewable energy development and regional pollutant control: A multi-region bottom-up optimization model," Applied Energy, Elsevier, vol. 184(C), pages 641-658.

    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. Chuanwang Sun & Nan Lyu & Xiaoling Ouyang, 2014. "Chinese Public Willingness to Pay to Avoid Having Nuclear Power Plants in the Neighborhood," Sustainability, MDPI, vol. 6(10), pages 1-27, October.
    2. Su, Xuanming & Zhou, Weisheng & Sun, Faming & Nakagami, Ken'Ichi, 2014. "Possible pathways for dealing with Japan's post-Fukushima challenge and achieving CO2 emission reduction targets in 2030," Energy, Elsevier, vol. 66(C), pages 90-97.
    3. Sadeghi, Hadi & Rashidinejad, Masoud & Abdollahi, Amir, 2017. "A comprehensive sequential review study through the generation expansion planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1369-1394.
    4. Bjoern Hagen & Adenike Opejin & K. David Pijawka, 2022. "Risk Perceptions and Amplification Effects over Time: Evaluating Fukushima Longitudinal Surveys," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    5. Kharecha, Pushker A. & Sato, Makiko, 2019. "Implications of energy and CO2 emission changes in Japan and Germany after the Fukushima accident," Energy Policy, Elsevier, vol. 132(C), pages 647-653.
    6. Hong, Sanghyun & Bradshaw, Corey J.A. & Brook, Barry W., 2015. "Global zero-carbon energy pathways using viable mixes of nuclear and renewables," Applied Energy, Elsevier, vol. 143(C), pages 451-459.
    7. Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2021. "A D2C algorithm on the natural gas consumption and economic growth: Challenges faced by Germany and Japan," Energy, Elsevier, vol. 219(C).
    8. Hong, Sanghyun & Bradshaw, Corey J.A. & Brook, Barry W., 2014. "Nuclear power can reduce emissions and maintain a strong economy: Rating Australia’s optimal future electricity-generation mix by technologies and policies," Applied Energy, Elsevier, vol. 136(C), pages 712-725.
    9. Segantin, Stefano & Testoni, Raffaella & Zucchetti, Massimo, 2019. "The lifetime determination of ARC reactor as a load-following plant in the energy framework," Energy Policy, Elsevier, vol. 126(C), pages 66-75.
    10. Tafarte, Philip & Das, Subhashree & Eichhorn, Marcus & Thrän, Daniela, 2014. "Small adaptations, big impacts: Options for an optimized mix of variable renewable energy sources," Energy, Elsevier, vol. 72(C), pages 80-92.
    11. Zhang, Qi & Mclellan, Benjamin C. & Tezuka, Tetsuo & Ishihara, Keiichi N., 2013. "An integrated model for long-term power generation planning toward future smart electricity systems," Applied Energy, Elsevier, vol. 112(C), pages 1424-1437.
    12. Nomsa Phindile Nkosi & Johane Dikgang, 2021. "South African Attitudes About Nuclear Power: The Case of the Nuclear Energy Expansion," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 138-146.
    13. Purwanto, Widodo Wahyu & Pratama, Yoga Wienda & Nugroho, Yulianto Sulistyo & Warjito, & Hertono, Gatot Fatwanto & Hartono, Djoni & Deendarlianto, & Tezuka, Tetsuo, 2015. "Multi-objective optimization model for sustainable Indonesian electricity system: Analysis of economic, environment, and adequacy of energy sources," Renewable Energy, Elsevier, vol. 81(C), pages 308-318.
    14. Armin Leopold, 2016. "Energy related system dynamic models: a literature review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 231-261, March.
    15. Jin, Taeyoung & Kim, Jinsoo, 2018. "What is better for mitigating carbon emissions – Renewable energy or nuclear energy? A panel data analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 464-471.
    16. Hoarau, Quentin & Perez, Yannick, 2018. "Interactions between electric mobility and photovoltaic generation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 510-522.
    17. Reeko Watanabe & Tsunemi Watanabe & Kyohei Wakui, 2021. "Acceptance of Main Power Generation Sources among Japan’s Undergraduate Students: The Roles of Knowledge, Experience, Trust, and Perceived Risk and Benefit," Sustainability, MDPI, vol. 13(22), pages 1-22, November.
    18. Pratama, Yoga Wienda & Purwanto, Widodo Wahyu & Tezuka, Tetsuo & McLellan, Benjamin Craig & Hartono, Djoni & Hidayatno, Akhmad & Daud, Yunus, 2017. "Multi-objective optimization of a multiregional electricity system in an archipelagic state: The role of renewable energy in energy system sustainability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 423-439.
    19. Ibanez-Lopez, A.S. & Moratilla-Soria, B.Y., 2017. "An assessment of Spain's new alternative energy support framework and its long-term impact on wind power development and system costs through behavioral dynamic simulation," Energy, Elsevier, vol. 138(C), pages 629-646.
    20. Ana Belén Alonso-Conde & Javier Rojo-Suárez, 2020. "Nuclear Hazard and Asset Prices: Implications of Nuclear Disasters in the Cross-Sectional Behavior of Stock Returns," Sustainability, MDPI, vol. 12(22), pages 1-24, November.

    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:energy:v:108:y:2016:i:c:p:108-118. 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.journals.elsevier.com/energy .

    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.