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DATA ENVELOPMENT ANALYSIS TO COMPARE RENEWABLE ENERGY EFFICIENCY IN THE ITALIAN REGIONS

机译:数据包络分析,以比较意大利地区可再生能源效率

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In Italy in the past three years, electricity generation from renewables recorded high growth rates. In 2011, it continued to have an upword trend (+7.8% on 2010), reaching 82,961 GWh. The EU directive on "renewable" requires to increase renewable energy with a target of 19.6% of total electricity consumption from renewables. In 2011, Italy recorded 23.5%, surpassing by wide margin the proposed target. Moreover the year 2011 represents a turning point since until 2010, the extent of renewable generation was mostly affected by the behavior of the hydro source, while in 2011 the hydro output is stable and the new renewables (solar, wind and biomass) increase. At the same time the effort of management science to assessing efficiency is reaching its goals with the use of Data Envelopment Analysis, a mathematical programming technique able to estimate the comparative efficiency of a set of units which, though distinct production processes and technology, take a given level of inputs to produce a given quantity of outputs. In this paper the efficiency of renewable energy technology (photovoltaic, wind, biomass, hydro) is evaluated with Data Envelopment Analysis at regional level in Italy considering investment and operating costs as inputs and installed power capacity, energy intensity and the CO_2 avoided as outputs. For each sources the more and the less efficient region is selected and an accurate analysis of the obtained results is outlined. The policy implications of the obtained results conclude the paper.
机译:在过去三年意大利,可再生能源的发电记录了高增长率。 2011年,它继续有一个关键趋势(2010年+ 7.8%),达到82,961 GWH。欧盟指令“可再生”要求增加可再生能源的可再生能源,占可再生能源总电费的19.6%。 2011年,意大利记录了23.5%,超越了拟议的目标。此外,2011年代表了自转折点,直到2010年直到2010年,可再生一代的程度主要受水电行为的影响,而2011年,水电产量稳定,新的可再生能源(太阳能,风和生物质)增加。与此同时,管理科学的努力评估效率正在利用数据包络分析达到目标,这是一种数学编程技术,能够估计一套单位的比较效率,虽然是不同的生产过程和技术,所以给定水平的输入来产生给定数量的输出。本文在意大利地区一级的区域一级的数据包络分析,将投资和运营成本作为输入和安装的电力容量,能源强度和避免作为产出,评估可再生能源技术(光伏,风,生物量,Hydro)的效率在地区层面进行了评估。对于每个来源,选择越高的有效区域并且概述了所获得的结果的准确分析。获得的结果的政策影响缔结本文。

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