IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v155y2022ics1364032121011928.html
   My bibliography  Save this article

Climatology of dark doldrums in Japan

Author

Listed:
  • Ohba, Masamichi
  • Kanno, Yuki
  • Nohara, Daisuke

Abstract

“Windless and sunless” weather durations, so-called “dark doldrums,” can cause energy supply disruptions when the penetration of variable renewable energy (wind and solar) is high. Dark doldrums, defined as periods during which the sum of solar and wind power is less than 10% of the rated output capacity, are most common during the summers in East Japan. This study investigated the synoptic-scale summer weather patterns associated with dark doldrums by applying self-organizing maps to characterize atmospheric circulations using surface wind data derived from atmospheric reanalysis data over the Tohoku region of Japan. Frequent occurrences of dark doldrums were linked to four typical weather patterns associated with the enhancement of the monsoon rain front and the Okhotsk high-pressure system. The frequency of dark doldrum events also showed considerable interannual variability that is strongly connected to climate variations in the tropical Indo-western Pacific. Further research on climate variability and its relationship with dark doldrums in East Asia is warranted.

Suggested Citation

  • Ohba, Masamichi & Kanno, Yuki & Nohara, Daisuke, 2022. "Climatology of dark doldrums in Japan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
  • Handle: RePEc:eee:rensus:v:155:y:2022:i:c:s1364032121011928
    DOI: 10.1016/j.rser.2021.111927
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032121011928
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2021.111927?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. Mizuno, Emi, 2014. "Overview of wind energy policy and development in Japan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 999-1018.
    2. Brayshaw, David James & Troccoli, Alberto & Fordham, Rachael & Methven, John, 2011. "The impact of large scale atmospheric circulation patterns on wind power generation and its potential predictability: A case study over the UK," Renewable Energy, Elsevier, vol. 36(8), pages 2087-2096.
    3. van der Wiel, K. & Stoop, L.P. & van Zuijlen, B.R.H. & Blackport, R. & van den Broek, M.A. & Selten, F.M., 2019. "Meteorological conditions leading to extreme low variable renewable energy production and extreme high energy shortfall," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 261-275.
    4. Gibson, Peter B. & Cullen, Nicolas J., 2015. "Synoptic and sub-synoptic circulation effects on wind resource variability – A case study from a coastal terrain setting in New Zealand," Renewable Energy, Elsevier, vol. 78(C), pages 253-263.
    5. Ohba, Masamichi & Kadokura, Shinji & Nohara, Daisuke, 2016. "Impacts of synoptic circulation patterns on wind power ramp events in East Japan," Renewable Energy, Elsevier, vol. 96(PA), pages 591-602.
    6. Munehiko Yamaguchi & Johnny C. L. Chan & Il-Ju Moon & Kohei Yoshida & Ryo Mizuta, 2020. "Global warming changes tropical cyclone translation speed," Nature Communications, Nature, vol. 11(1), pages 1-7, December.
    7. 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).
    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. Mayer, Martin János & Biró, Bence & Szücs, Botond & Aszódi, Attila, 2023. "Probabilistic modeling of future electricity systems with high renewable energy penetration using machine learning," Applied Energy, Elsevier, vol. 336(C).
    2. Ohba, Masamichi & Kanno, Yuki & Bando, Shigeru, 2023. "Effects of meteorological and climatological factors on extremely high residual load and possible future changes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).

    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. Ohba, Masamichi & Kanno, Yuki & Bando, Shigeru, 2023. "Effects of meteorological and climatological factors on extremely high residual load and possible future changes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    2. Ohba, Masamichi & Kadokura, Shinji & Nohara, Daisuke, 2016. "Impacts of synoptic circulation patterns on wind power ramp events in East Japan," Renewable Energy, Elsevier, vol. 96(PA), pages 591-602.
    3. Bedassa R. Cheneka & Simon J. Watson & Sukanta Basu, 2021. "Associating Synoptic-Scale Weather Patterns with Aggregated Offshore Wind Power Production and Ramps," Energies, MDPI, vol. 14(13), pages 1-14, June.
    4. Bowen Li & Sukanta Basu & Simon J. Watson & Herman W. J. Russchenberg, 2021. "A Brief Climatology of Dunkelflaute Events over and Surrounding the North and Baltic Sea Areas," Energies, MDPI, vol. 14(20), pages 1-14, October.
    5. Curtis, John & Lynch, Muireann Á. & Zubiate, Laura, 2016. "The impact of the North Atlantic Oscillation on electricity markets: A case study on Ireland," Energy Economics, Elsevier, vol. 58(C), pages 186-198.
    6. Srihari Sundar & Michael T. Craig & Ashley E. Payne & David J. Brayshaw & Flavio Lehner, 2023. "Meteorological drivers of resource adequacy failures in current and high renewable Western U.S. power systems," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    7. Li, Muyuan & Yao, Jinfeng & Shen, Yanbo & Yuan, Bin & Simmonds, Ian & Liu, Yunyun, 2023. "Impact of synoptic circulation patterns on renewable energy-related variables over China," Renewable Energy, Elsevier, vol. 215(C).
    8. Gonocruz, Ruth Anne Tanlioco & Yoshida, Yoshikuni & Ozawa, Akito & Aguirre, Rodolfo A. & Maguindayao, Edward Joseph H., 2023. "Impacts of agrivoltaics in rural electrification and decarbonization in the Philippines," Applied Energy, Elsevier, vol. 350(C).
    9. Donovin D. Lewis & Aron Patrick & Evan S. Jones & Rosemary E. Alden & Abdullah Al Hadi & Malcolm D. McCulloch & Dan M. Ionel, 2023. "Decarbonization Analysis for Thermal Generation and Regionally Integrated Large-Scale Renewables Based on Minutely Optimal Dispatch with a Kentucky Case Study," Energies, MDPI, vol. 16(4), pages 1-23, February.
    10. Wang, Kejun & Qi, Xiaoxia & Liu, Hongda & Song, Jiakang, 2018. "Deep belief network based k-means cluster approach for short-term wind power forecasting," Energy, Elsevier, vol. 165(PA), pages 840-852.
    11. Cannon, D.J. & Brayshaw, D.J. & Methven, J. & Coker, P.J. & Lenaghan, D., 2015. "Using reanalysis data to quantify extreme wind power generation statistics: A 33 year case study in Great Britain," Renewable Energy, Elsevier, vol. 75(C), pages 767-778.
    12. Shahriyar Nasirov & Carlos Silva & Claudio A. Agostini, 2015. "Investors’ Perspectives on Barriers to the Deployment of Renewable Energy Sources in Chile," Energies, MDPI, vol. 8(5), pages 1-21, April.
    13. Ren, Guorui & Wan, Jie & Liu, Jinfu & Yu, Daren, 2019. "Characterization of wind resource in China from a new perspective," Energy, Elsevier, vol. 167(C), pages 994-1010.
    14. Romanic, Djordje & Parvu, Dan & Refan, Maryam & Hangan, Horia, 2018. "Wind and tornado climatologies and wind resource modelling for a modern development situated in “Tornado Alley”," Renewable Energy, Elsevier, vol. 115(C), pages 97-112.
    15. Curtis, John & Lynch, Muireann Á. & Zubiate, Laura, 2016. "Carbon dioxide (CO2) emissions from electricity: The influence of the North Atlantic Oscillation," Applied Energy, Elsevier, vol. 161(C), pages 487-496.
    16. Otero, Noelia & Martius, Olivia & Allen, Sam & Bloomfield, Hannah & Schaefli, Bettina, 2022. "A copula-based assessment of renewable energy droughts across Europe," Renewable Energy, Elsevier, vol. 201(P1), pages 667-677.
    17. Enevoldsen, Peter, 2016. "Onshore wind energy in Northern European forests: Reviewing the risks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1251-1262.
    18. Rahman, Md Momtazur & Khan, Imran & Field, David Luke & Techato, Kuaanan & Alameh, Kamal, 2022. "Powering agriculture: Present status, future potential, and challenges of renewable energy applications," Renewable Energy, Elsevier, vol. 188(C), pages 731-749.
    19. Ouyang, Tinghui & Zha, Xiaoming & Qin, Liang & He, Yusen & Tang, Zhenhao, 2019. "Prediction of wind power ramp events based on residual correction," Renewable Energy, Elsevier, vol. 136(C), pages 781-792.
    20. Yu, Min & Niu, Dongxiao & Gao, Tian & Wang, Keke & Sun, Lijie & Li, Mingyu & Xu, Xiaomin, 2023. "A novel framework for ultra-short-term interval wind power prediction based on RF-WOA-VMD and BiGRU optimized by the attention mechanism," Energy, Elsevier, vol. 269(C).

    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:rensus:v:155:y:2022:i:c:s1364032121011928. 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/wps/find/journaldescription.cws_home/600126/description#description .

    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.