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Key Factors Affecting the Deployment of Electricity Generation Technologies in Energy Technology Scenarios

机译:影响能源技术场景中发电技术部署的关键因素

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This report presents the findings of a survey of key factors affecting the deployment of electricity generation technologies in selected energy scenarios. The assumptions and results of scenarios, and the different models used in their construction, are compared. Particular attention is given to technology assumptions, such as investment cost or capacity factors, and their impact on technology deployment. We conclude that the deployment of available technologies, i.e. their market shares, can only be explained from a holistic perspective, and that there are strong interactions between driving forces and competing technology options within a certain scenario. Already the design of a scenario analysis has important impacts on the deployment of technologies: the choice of the set of available technologies, the modeling approach and the definition of the storylines determine the outcome. Furthermore, the quantification of these storylines into input parameters and cost assumptions drives technology deployment, even though differences across the scenarios in cost assumptions are not observed to account for many of the observed differences in electricity technology deployment. The deployment can only be understood after a consideration of the interplay of technology options and the scale of technology deployment, which is determined by economic growth, end-use efficiency, and electrification. Some input parameters are of particular importance for certain technologies: CO2 prices, fuel prices and the availability of carbon capture and storage appear to be crucial for the deployment of fossil-fueled power plants; maximum construction rates and safety concerns determine the market share of nuclear power; the availability of suitable sites represents the most important factor for electricity generation from hydro and wind power plants; and technology breakthroughs are needed for solar photovoltaics to become cost-competitive. Finally, this analysis concludes with a review on how energy systems in the selected scenario studies deal with risks related to energy security and greenhouse gas emissions, and recommendations for improving the usefulness of scenario development for decision-makers.
机译:本报告提供了对在某些能源情景中影响发电技术部署的关键因素的调查结果。比较了方案的假设和结果,以及在方案构建中使用的不同模型。特别注意技术假设,例如投资成本或容量因素及其对技术部署的影响。我们得出的结论是,只能从整体的角度来解释可用技术的部署,即其市场份额,并且在特定情况下驱动力和竞争性技术选择之间存在强大的相互作用。方案分析的设计已经对技术的部署产生了重要影响:可用技术集的选择,建模方法和故事情节的定义决定了结果。此外,将这些故事情节量化为输入参数和成本假设可推动技术部署,即使未观察到成本假设之间的跨场景差异也可解决许多已观察到的电力技术部署差异。只有在考虑技术选择的相互作用和技术部署的规模之后才能理解部署,这取决于经济增长,最终使用效率和电气化。一些输入参数对于某些技术尤为重要:二氧化碳价格,燃料价格以及碳捕集与封存的可用性对于部署化石燃料发电厂似乎至关重要;最大的建造率和安全问题决定了核电的市场份额;合适地点的可用性是水力和风力发电厂发电的最重要因素;为了使太阳能光伏具有成本竞争力,需要技术上的突破。最后,该分析以对所选方案研究中的能源系统如何处理与能源安全和温室气体排放相关的风险的总结作为总结,并提出了改进方案制定对决策者的有用性的建议。

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