Assessing climate change adaptation strategies: the case of drought and heat wave in the French nuclear sector

Jyri Hanski (Corresponding Author), Tony Rosqvist, Douglas Crawford-Brown

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    Nuclear energy is a very important component of overall power supply in France. If the effects of future extreme weather events or climate shifts are not addressed, energy systems will be highly vulnerable to extreme weather events or shifts in weather patterns, such as changes in precipitation. Because of the deep uncertainties involved in climate projections and response strategies, any strategy implementation should perform adequately regardless of which scenario actually materialises. In this paper, we analyse the effects of drought and heat wave in the French nuclear energy sector using the Strategy Robustness Visualisation Method. The key feature of the method is the modelling of uncertainty of the quantitative indicators by (min, max) values plotted on radar plots such that each strategy option’s performance can be visually inspected for robustness. The method can be utilised as a “module” of its own in different uncertainty management approaches. Based on the case study, the presented adaptation strategies “Maintaining industrial production and final demand” and “Smart grid infrastructure” were more robust than the “No planned or automatic adaptation”.
    Original languageEnglish
    Pages (from-to)1801-1813
    Number of pages13
    JournalRegional Environmental Change
    Volume18
    Issue number6
    DOIs
    Publication statusPublished - 1 Aug 2018
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    drought
    weather
    industrial production
    climate
    visualization
    infrastructure
    radar
    modeling
    energy
    climate change adaptation
    method
    heat wave
    nuclear energy
    effect
    indicator
    demand
    smart grid

    Keywords

    • climate change
    • adaptation
    • strategy assessment
    • French
    • nuclear energy

    Cite this

    @article{5f23c6a2a28a41149202f00f87edd460,
    title = "Assessing climate change adaptation strategies: the case of drought and heat wave in the French nuclear sector",
    abstract = "Nuclear energy is a very important component of overall power supply in France. If the effects of future extreme weather events or climate shifts are not addressed, energy systems will be highly vulnerable to extreme weather events or shifts in weather patterns, such as changes in precipitation. Because of the deep uncertainties involved in climate projections and response strategies, any strategy implementation should perform adequately regardless of which scenario actually materialises. In this paper, we analyse the effects of drought and heat wave in the French nuclear energy sector using the Strategy Robustness Visualisation Method. The key feature of the method is the modelling of uncertainty of the quantitative indicators by (min, max) values plotted on radar plots such that each strategy option’s performance can be visually inspected for robustness. The method can be utilised as a “module” of its own in different uncertainty management approaches. Based on the case study, the presented adaptation strategies “Maintaining industrial production and final demand” and “Smart grid infrastructure” were more robust than the “No planned or automatic adaptation”.",
    keywords = "climate change, adaptation, strategy assessment, French, nuclear energy",
    author = "Jyri Hanski and Tony Rosqvist and Douglas Crawford-Brown",
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    language = "English",
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    Assessing climate change adaptation strategies : the case of drought and heat wave in the French nuclear sector. / Hanski, Jyri (Corresponding Author); Rosqvist, Tony; Crawford-Brown, Douglas.

    In: Regional Environmental Change, Vol. 18, No. 6, 01.08.2018, p. 1801-1813.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Assessing climate change adaptation strategies

    T2 - the case of drought and heat wave in the French nuclear sector

    AU - Hanski, Jyri

    AU - Rosqvist, Tony

    AU - Crawford-Brown, Douglas

    N1 - Project: 100490

    PY - 2018/8/1

    Y1 - 2018/8/1

    N2 - Nuclear energy is a very important component of overall power supply in France. If the effects of future extreme weather events or climate shifts are not addressed, energy systems will be highly vulnerable to extreme weather events or shifts in weather patterns, such as changes in precipitation. Because of the deep uncertainties involved in climate projections and response strategies, any strategy implementation should perform adequately regardless of which scenario actually materialises. In this paper, we analyse the effects of drought and heat wave in the French nuclear energy sector using the Strategy Robustness Visualisation Method. The key feature of the method is the modelling of uncertainty of the quantitative indicators by (min, max) values plotted on radar plots such that each strategy option’s performance can be visually inspected for robustness. The method can be utilised as a “module” of its own in different uncertainty management approaches. Based on the case study, the presented adaptation strategies “Maintaining industrial production and final demand” and “Smart grid infrastructure” were more robust than the “No planned or automatic adaptation”.

    AB - Nuclear energy is a very important component of overall power supply in France. If the effects of future extreme weather events or climate shifts are not addressed, energy systems will be highly vulnerable to extreme weather events or shifts in weather patterns, such as changes in precipitation. Because of the deep uncertainties involved in climate projections and response strategies, any strategy implementation should perform adequately regardless of which scenario actually materialises. In this paper, we analyse the effects of drought and heat wave in the French nuclear energy sector using the Strategy Robustness Visualisation Method. The key feature of the method is the modelling of uncertainty of the quantitative indicators by (min, max) values plotted on radar plots such that each strategy option’s performance can be visually inspected for robustness. The method can be utilised as a “module” of its own in different uncertainty management approaches. Based on the case study, the presented adaptation strategies “Maintaining industrial production and final demand” and “Smart grid infrastructure” were more robust than the “No planned or automatic adaptation”.

    KW - climate change

    KW - adaptation

    KW - strategy assessment

    KW - French

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    JO - Regional Environmental Change

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    SN - 1436-3798

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    ER -