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Medium-term variability of the UK's combined tidal energy resource for a net-zero carbon grid

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  • Todeschini, G.
  • Coles, D.
  • Lewis, M.
  • Popov, I.
  • Angeloudis, A.
  • Fairley, I.
  • Johnson, F.
  • Williams, A.J.
  • Robins, P.
  • Masters, I.

Abstract

The small area of the United Kingdom relative to weather systems makes renewable energy sources variable on short time scales. Short term variability is therefore a growing concern with increasing amounts of renewable energy integration. In this work, we address how tidal energy can contribute to reducing medium-term variability in the future UK energy mix. Two tidal integration scenarios are defined for 2050: for each scenario, a 5-min interval generation profile is calculated using an oceanographic model of UK tides, and the medium-term variability is assessed. Here we show that tidal power shows a lower level of variability compared to other resources. During spring tides, a national network of tidal power stations can produce continuous, although variable, electricity. It is then shown that tidal energy and storage can provide year-round continuous and constant power output, i.e. baseload generation. Therefore, we conclude that tidal energy can provide positive contributions and complement other renewable energy sources.

Suggested Citation

  • Todeschini, G. & Coles, D. & Lewis, M. & Popov, I. & Angeloudis, A. & Fairley, I. & Johnson, F. & Williams, A.J. & Robins, P. & Masters, I., 2022. "Medium-term variability of the UK's combined tidal energy resource for a net-zero carbon grid," Energy, Elsevier, vol. 238(PA).
  • Handle: RePEc:eee:energy:v:238:y:2022:i:pa:s0360544221022386
    DOI: 10.1016/j.energy.2021.121990
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    Cited by:

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    2. Fairley, Iain & Williamson, Benjamin J. & McIlvenny, Jason & King, Nicholas & Masters, Ian & Lewis, Matthew & Neill, Simon & Glasby, David & Coles, Daniel & Powell, Ben & Naylor, Keith & Robinson, Max, 2022. "Drone-based large-scale particle image velocimetry applied to tidal stream energy resource assessment," Renewable Energy, Elsevier, vol. 196(C), pages 839-855.
    3. Fouz, D.M. & Carballo, R. & López, I. & González, X.P. & Iglesias, G., 2023. "A methodology for cost-effective analysis of hydrokinetic energy projects," Energy, Elsevier, vol. 282(C).
    4. Liu, Hongwei & Ren, He & Gu, Yajing & Lin, Yonggang & Hu, Weifei & Song, Jiajun & Yang, Jinhong & Zhu, Zengxin & Li, Wei, 2023. "Design and on-site implementation of an off-grid marine current powered hydrogen production system," Applied Energy, Elsevier, vol. 330(PB).
    5. Garcia-Novo, Patxi & Inubuse, Masako & Matsuno, Takeshi & Kyozuka, Yusaku & Archer, Philip & Matsuo, Hiroshi & Henzan, Katsuhiro & Sakaguchi, Daisaku, 2024. "Characterization of the wake generated downstream of a MW-scale tidal turbine in Naru Strait, Japan, based on vessel-mounted ADCP data," Energy, Elsevier, vol. 299(C).
    6. Han, Fengwu & Zeng, Jianfeng & Lin, Junjie & Gao, Chong & Ma, Zeyang, 2023. "A novel two-layer nested optimization method for a zero-carbon island integrated energy system, incorporating tidal current power generation," Renewable Energy, Elsevier, vol. 218(C).

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