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Effects of meteorological and climatological factors on extremely high residual load and possible future changes

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  • Ohba, Masamichi
  • Kanno, Yuki
  • Bando, Shigeru

Abstract

Under high variable renewable energy (VRE) penetration, the occurrence of low VRE production, such as dark doldrums (Dunkelflaute) and wind-solar drought, can threaten a secure and continuous energy supply owing to an imbalance between electricity demand and supply. In this study, historically reconstructed long-term VRE generation and electricity demand were used to investigate the relationship between extremely high residual load (demand minus VRE output) and weather/climate in Japan. The impact of changes in the VRE's installed capacity on this relationship was also investigated using three simple future target scenarios. The results showed that the increase in installed VRE capacity causes greater daily and weekly residual load variabilities and affects the seasonality of its peaks. To study the weather patterns associated with high residual load events, self-organizing maps were applied to atmospheric circulation fields derived from atmospheric reanalysis data. The high residual load was associated with enhanced cold surge-type weather patterns during winter at the current low VRE installation level. However, under future increased VRE penetration, the weather patterns leading to high residual load will change to cloudy-windless types typically caused by a southern coastal extratropical cyclone. There is also considerable interannual variability in the frequency of high residual load events, which changed significantly with increasing VRE capacity. It is crucial to incorporate the dependence of climatic conditions into designing power systems to maintain the stability of a power system under future conditions.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:rensus:v:175:y:2023:i:c:s1364032123000448
    DOI: 10.1016/j.rser.2023.113188
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. Ohba, Masamichi & Kanno, Yuki & Nohara, Daisuke, 2022. "Climatology of dark doldrums in Japan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    5. Müller, Johannes & Folini, Doris & Wild, Martin & Pfenninger, Stefan, 2019. "CMIP-5 models project photovoltaics are a no-regrets investment in Europe irrespective of climate change," Energy, Elsevier, vol. 171(C), pages 135-148.
    6. 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.
    7. Kevin Ray Español Lucas & Tomonori Sato & Masamichi Ohba, 2021. "Hourly Variation of Wind Speeds in the Philippines and Its Potential Impact on the Stability of the Power System," Energies, MDPI, vol. 14(8), pages 1-14, April.
    8. 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).
    9. Jerez, S. & Tobin, I. & Turco, M. & Jiménez-Guerrero, P. & Vautard, R. & Montávez, J.P., 2019. "Future changes, or lack thereof, in the temporal variability of the combined wind-plus-solar power production in Europe," Renewable Energy, Elsevier, vol. 139(C), pages 251-260.
    10. Oshiro, Ken & Kainuma, Mikiko & Masui, Toshihiko, 2017. "Implications of Japan's 2030 target for long-term low emission pathways," Energy Policy, Elsevier, vol. 110(C), pages 581-587.
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