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首页> 外文会议>IAEE International Conference >Barbara Breitschopf, Competence Center Energy Policy and Energy Markets, Fraunhofer Institute for Systems and Innovation Research ISI, Germany, +49 (0)721 6809 356, Email: Barbara.Breitschopf@isi.fraunhofer.de
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Barbara Breitschopf, Competence Center Energy Policy and Energy Markets, Fraunhofer Institute for Systems and Innovation Research ISI, Germany, +49 (0)721 6809 356, Email: Barbara.Breitschopf@isi.fraunhofer.de

机译：Barbara Brejopf，能力中心能源政策和能源市场，Fraunhofer系统和创新研究所研究ISI，德国，+49（0）721 6809 356，电子邮件：Barbara.breitschopf@isi.fraunhofer.de

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Since the adoption of its Renewable Energy (RE) act in 2000 Germany has intensified its effort for renewable energy technology (RET) deployment. The main instrument has been feed-in tariffs, which have faced several adjustments in magnitude and specific designs. Nevertheless, promoting RET use entails increasing costs and benefits. While burdens for consumers have increased considerably from 4.7 bill Euro in 2008 to almost 19 bill Euro in 2014 (Monitoring Report 2015), benefits for consumers are difficult to capture and quantify. In addition, benefits and costs occur at three levels – system, micro-and macro-economic – and cannot be arbitrarily summed up (Breitschopf, B., Held, A. 2014). Especially, benefits arising from RE policies serve special attention as they accrue across al levels. Among them, the contribution to innovation and technology cost development is considered as one major positive aspect of RE policy support. To enrich and support the discussion on RET support and deployment targets, this paper strives to assess the impact of the German RE policy on RET costs in the case of PV in Germany. To evaluate the contribution of RE policies to market and technology development, especially in wind power and PV, increased attention has been paid to the learning curve concept (Ek & Soderholm, 2009). This concept will be extended by taking into account interdependencies between technology, demand and supply. Technology costs, especially PV system costs have shown a tremendous decline over time (see Figure 1). The paper aims to identify and assess the impact of the German RE policy on PV technology costs. In a first step, the “learning curve concept” is briefly discussed. Based on this discussion an approach is derived how to assess the impact of renewable energy policies (RE policies) that addresses demand for RET. It is intended to explain factors affecting technology costs and sketch a potential approach to assess the impact of RE policy on technology costs. The paper concentrates on PV and the demand focused policy (demand pull) in Germany. It includes further R&D policy (public R&D spending) but ignores supplier focused policies, although they are part of the RE policy bundle (IEA-RETD 2014).
机译：自2000年德国采用其可再生能源（RE）法案加剧了可再生能源技术（RET）部署的努力。主仪器已送入关税，这面临幅度和特定设计的若干调整。尽管如此，促进RET使用需要增加成本和福利。虽然消费者的负担从2008年的4.7欧元从4.7欧元增加到2014年近19欧元（2015年监测报告），消费者福利难以捕捉和量化。此外，福利和成本发生在三个层面 - 系统，微观和宏观经济 - 不能随意总结（Breitschopf，B.，举行，A. 2014）。特别是，从策略产生的福利在跨越AL级别时提供特别关注。其中，对创新和技术成本发展的贡献被视为重新策略支持的一个主要积极方面。为了丰富并支持讨论RET支持和部署目标，本文致力于评估德国重新政策对德国PV案件的影响。为了评估RE政策对市场和技术开发的贡献，特别是在风电和光伏中，学习曲线概念（EK＆SODERHOLM，2009）支付了增加的关注。通过考虑技术，需求和供应之间的相互依赖，将延长这一概念。技术成本，尤其是光伏系统成本显示出巨大的下降时间（见图1）。本文旨在识别和评估德国重新政策对光伏技术成本的影响。在第一步中，简要讨论了“学习曲线概念”。基于该讨论，旨在评估可再生能源政策（重新政策）对RET需求的影响。它旨在解释影响技术成本的因素，并绘制一种评估重新政策对技术成本的影响的潜在方法。本文集中于德国光伏和需求焦点政策（需求拉）。它包括进一步的研发策略（公共研发支出），但忽略供应商集中的政策，尽管它们是重新策略包的一部分（IEA-RETD 2014）。

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