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Climate change impacts and vulnerability in Europe 2016

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<strong>Climate</strong> <strong>change</strong> <strong>impacts</strong> on society<br />

project estimated that the economic damage due to the<br />

decreased availability of nuclear power <strong>in</strong> France could<br />

be as high as tens of billions of euros per year by 2100<br />

under a high emissions scenario (RCP8.5) <strong>and</strong> several<br />

billion euros under a medium emissions scenario<br />

(RCP4.5), if the current <strong>in</strong>frastructure <strong>and</strong> policies<br />

rema<strong>in</strong> <strong>in</strong> place (Perrels et al., 2015; ToPDAd, 2015).<br />

Some studies have assessed the system-wide <strong>impacts</strong><br />

of future climate <strong>change</strong> on electricity production.<br />

Results of the <strong>Climate</strong>Cost project suggest that there<br />

will be significant <strong>impacts</strong> on electricity generation,<br />

with a worsen<strong>in</strong>g of operat<strong>in</strong>g conditions for thermal,<br />

hydro <strong>and</strong> nuclear power plants. These <strong>impacts</strong> will<br />

translate <strong>in</strong>to losses for the EU energy system that<br />

could reach 200 terawatt-hours (TWh) <strong>in</strong> 2070 for a<br />

medium emissions scenario (SRES A1B) <strong>and</strong> 150 TWh<br />

<strong>in</strong> 2060 <strong>and</strong> 2080 for a low emissions scenario (E1). The<br />

overall economic <strong>impacts</strong> of <strong>change</strong>s <strong>in</strong> the dem<strong>and</strong><br />

<strong>and</strong> supply side are estimated as a net loss of 0.11 %<br />

of EU‐28 (Croatia not <strong>in</strong>cluded) GDP <strong>in</strong> 2100 for the<br />

SRES A1B scenario. This general result hides, however,<br />

significant regional disparities; moreover, the study<br />

itself po<strong>in</strong>ts to a considerable degree of uncerta<strong>in</strong>ty<br />

about these estimates, stemm<strong>in</strong>g from the variability<br />

of climate projections across the climate models used,<br />

particularly <strong>in</strong> the case of precipitation (<strong>and</strong> hence<br />

water availability), <strong>and</strong> from the partial coverage of<br />

relevant <strong>impacts</strong>, as w<strong>in</strong>d velocity, <strong>in</strong>solation, extreme<br />

events <strong>and</strong> droughts may not be <strong>in</strong>cluded (Mima <strong>and</strong><br />

Criqui, 2015). Qualitatively similar conclusions were<br />

reached <strong>in</strong> the PESETA II project (Dowl<strong>in</strong>g, 2013; Ciscar<br />

et al., 2014). The loss <strong>in</strong> generation efficiency due<br />

to <strong>in</strong>creased cool<strong>in</strong>g requirements for thermal <strong>and</strong><br />

nuclear plants may result <strong>in</strong> a loss of competitiveness<br />

for these sources <strong>and</strong>, therefore, <strong>in</strong>crease the<br />

proportion of renewable sources <strong>in</strong> the energy mix<br />

(Dowl<strong>in</strong>g, 2013). Moreover, mitigation policy choices<br />

can be a crucial driver of the f<strong>in</strong>al <strong>impacts</strong> on the<br />

energy mix.<br />

Box 5.3<br />

ToPDAd case study for Baltic countries<br />

Prelim<strong>in</strong>ary results from the ToPDAd (Tool-supported policy development for regional adaptation) project for the Baltic<br />

countries <strong>in</strong> northern <strong>Europe</strong> <strong>in</strong>dicate that climate <strong>change</strong> is likely to decrease energy sector <strong>in</strong>vestment costs by 2050<br />

ow<strong>in</strong>g to reduced heat<strong>in</strong>g needs <strong>and</strong> <strong>in</strong>creased hydropower generation. The presented results are based on an energy<br />

sector <strong>in</strong>vestment model (the Balmorel ( 103 ) model soft-l<strong>in</strong>ked with the TIMES ( 104 ) model) that have been run with <strong>and</strong><br />

without climate <strong>change</strong> scenarios for the ToPDAd EU project (Perrels et al., 2015).<br />

For the high emissions scenario (RCP8.5), precipitation <strong>and</strong> consequently river run-off are projected to <strong>in</strong>crease by 5–20 % <strong>in</strong><br />

all Baltic countries. For the medium emissions scenario (RCP4.5), the projected <strong>in</strong>crease was smaller <strong>and</strong> focused on Norway<br />

<strong>and</strong> Sweden, which have by far the largest hydropower capacities <strong>in</strong> northern <strong>Europe</strong>. While an overall <strong>in</strong>crease <strong>in</strong> river<br />

run-off looks likely, the magnitude <strong>and</strong> geographical distribution is uncerta<strong>in</strong>. The projected <strong>in</strong>creases <strong>in</strong> temperature were<br />

estimated to decrease electricity dem<strong>and</strong> by 1–2 % <strong>and</strong> district heat<strong>in</strong>g dem<strong>and</strong> by 7–11 %, depend<strong>in</strong>g on the emissions<br />

scenario.<br />

Ow<strong>in</strong>g to emissions restrictions <strong>and</strong> cost assumptions, the model directs <strong>in</strong>vestments ma<strong>in</strong>ly to renewable power<br />

generation. As electricity <strong>and</strong> district heat<strong>in</strong>g dem<strong>and</strong> decrease <strong>and</strong> hydropower production <strong>in</strong>creases, there is less need for<br />

new <strong>in</strong>vestments <strong>in</strong> the power sector, <strong>in</strong>clud<strong>in</strong>g new w<strong>in</strong>d power <strong>in</strong>vestments. The result<strong>in</strong>g sav<strong>in</strong>gs <strong>in</strong> cumulative energy<br />

costs by 2050 for this region range from 2 % to over 5 %, depend<strong>in</strong>g on the comb<strong>in</strong>ation of the RCP (RCP2.6, RCP4.5 or<br />

RCP8.5) <strong>and</strong> SSP (SSP1, SSP4 or SSP5; see Section 1.2).<br />

The energy sector is characterised by large long-term <strong>in</strong>vestments. The <strong>impacts</strong> of climate <strong>change</strong> <strong>and</strong> of mitigation<br />

requirements are expected to be considered when these <strong>in</strong>vestments are made. However, considerable uncerta<strong>in</strong>ty <strong>in</strong> the<br />

magnitude <strong>and</strong> distribution of climate <strong>change</strong> <strong>impacts</strong> may lead to some failed <strong>in</strong>vestments. The projected cost reductions<br />

also depend on adaptation. The reductions <strong>in</strong> total annual costs range from 1 % to 2 % if no adaptation takes place; the<br />

sav<strong>in</strong>gs are slightly higher, from 1.3 % to 2.5 %, <strong>in</strong> the case of adaptation. However, these estimates are sensitive to a<br />

number of assumptions, <strong>in</strong> particular emissions constra<strong>in</strong>ts <strong>and</strong> renewable energy targets.<br />

( 103 ) The Balmorel model is a model for analys<strong>in</strong>g the electricity <strong>and</strong> comb<strong>in</strong>ed heat <strong>and</strong> power sectors <strong>in</strong> an <strong>in</strong>ternational perspective (see http://<br />

www.eabalmorel.dk).<br />

( 104 ) TIMES: 'The Integrated MARKAL-EFOM System' (see http://iea-etsap.org).<br />

252 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> <strong>2016</strong> | An <strong>in</strong>dicator-based report

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