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Energy Systems and Technologies for the Coming Century ...

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More generally, a number of no- or low-regret energy planning <strong>and</strong> policy options exist.For Africa, <strong>for</strong> example, a number of options will both promote energy access <strong>and</strong>reduce <strong>the</strong> vulnerability of energy systems to climate impacts. Examples includeintroducing <strong>and</strong> refining early warning systems, mobilizing energy investments,diversifying energy generation asset types, creating enabling environments <strong>for</strong> transfer<strong>and</strong> introduction of new technologies <strong>and</strong> regulating commercial <strong>and</strong> industrial energyefficiency implementation (Helio International, 2009).Economic assessments of potential impacts <strong>and</strong> available adaptation options are crucialin <strong>the</strong> prioritisation <strong>and</strong> selection of adaptive measures. The availability of estimates ofeconomic impacts at energy system level; <strong>the</strong> economic value of climate changedamages at sector <strong>and</strong> project levels; <strong>and</strong>, of <strong>the</strong> benefits <strong>and</strong> costs of policies, measures<strong>and</strong> actions to avoid climate change damages through adaptation is low. The World BankEconomics of Adaptation to Climate Change initiative (World Bank, 2010b) is currently<strong>the</strong> only source of global <strong>and</strong> regional estimates on adaptation costs related to powergeneration (<strong>for</strong> all energy sources) <strong>and</strong> electricity transmission <strong>and</strong> distributioninfrastructure. Some figures on <strong>the</strong> climate-related impacts of droughts on hydropowerproduction <strong>and</strong> GDP <strong>for</strong> selected countries in Sub-Saharan Africa are available(Eberhard et al., 2008). ECA (2009) includes a case study <strong>and</strong> cost curve <strong>for</strong> poweradaptation measures in Tanzania, <strong>and</strong> de Bruin et al. (2009) provide some estimates ofcosts <strong>and</strong> benefits of energy related adaptation options <strong>for</strong> <strong>the</strong> Ne<strong>the</strong>rl<strong>and</strong>s. Apart from<strong>the</strong>se examples <strong>and</strong> from <strong>the</strong> literature on changes in energy expenditures <strong>for</strong> cooling <strong>and</strong>heating as a result of climate change that mainly covers North America <strong>and</strong> OECDcountries8, no comprehensive assessments of costs <strong>and</strong> benefits of climate changeimpacts on energy systems or of adaptive responses to alleviate <strong>the</strong>se impacts have beenundertaken so far.5 Opportunities <strong>and</strong> Challenges – PreliminaryConclusionsClimate risk management requires an interdisciplinary ef<strong>for</strong>t <strong>and</strong> participatory approachwhere <strong>the</strong> tools <strong>and</strong> knowledge of scientists, energy analysts, <strong>and</strong> economists, policymakers <strong>and</strong> planners, <strong>and</strong> citizens are combined. So far, key ef<strong>for</strong>ts have focused onassessing climate impacts <strong>and</strong> risks on particularly renewable energy sources <strong>and</strong> supply<strong>and</strong> on identifying potential adaptation options. In most cases, <strong>the</strong>se two areas of ef<strong>for</strong>thave been undertaken by different communities, with scientists focusing on analysingclimate impacts on energy system components <strong>and</strong> social scientists identifying <strong>and</strong>discussing potential adaptation measures. Connecting <strong>the</strong> in<strong>for</strong>mation on risks <strong>and</strong>impacts to detailed identification <strong>and</strong> appraisal of adaptation options provides animmediate opportunity <strong>for</strong> advancing climate risk management of energy projects,sectors, <strong>and</strong> systems.Currently, gaps in knowledge pose significant constraints <strong>for</strong> climate change riskanalyses <strong>and</strong> decision making. Based on <strong>the</strong> previous sections, opportunities <strong>for</strong>exp<strong>and</strong>ing <strong>the</strong> scientific <strong>and</strong> socio-economic knowledge basis <strong>for</strong> decision makingabound in <strong>the</strong> following areas:a. The capacity to model <strong>and</strong> project climate change <strong>and</strong> its impacts at <strong>the</strong> local<strong>and</strong> regional scales can be exp<strong>and</strong>ed <strong>and</strong> target better knowledge on gradualchanges at regional <strong>and</strong> local scales as well as changes in variability <strong>and</strong>frequency <strong>and</strong> magnitude of extreme events.b. Providing in<strong>for</strong>mation <strong>and</strong> guidance in a <strong>for</strong>m appropriate <strong>for</strong> planners <strong>and</strong>decision makers at various levels: Climate risks are only one of many factorsthat may influence a decision. Consequently, <strong>the</strong>re is a need <strong>for</strong> raising8 See IPCC (2007c), Chapter 17.2 <strong>for</strong> an overview.Risø International <strong>Energy</strong> Conference 2011 Proceedings Page 33

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