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首页> 外文期刊>Journal of Cleaner Production >Quality of data for estimating GHG emissions in biofuel regulations is unknown: A review of default values related to sugarcane and corn ethanol
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Quality of data for estimating GHG emissions in biofuel regulations is unknown: A review of default values related to sugarcane and corn ethanol

机译:用于估计生物燃料法规中温室气体排放的数据质量尚不清楚:有关甘蔗和玉米乙醇的默认值的回顾

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摘要

European and United States' (U.S.) regulatory schemes mandate the use of biofuels based on estimates of life cycle GHG emissions that indicate their environmental superiority compared with conventional fuels. This paper analyzes the quality of the activity data used in calculating these estimates for Brazilian sugarcane and U.S. corn ethanol, in terms of completeness, reliability, and transparency. The findings demonstrate that it is impossible to determine the completeness of the data because the regulation's texts and related documents, and their sources fail to provide information on the representativeness or origins of the data. Moreover, there is no transparency about the sample from which data is extracted. To obtain this information it is necessary to review the literary sources referenced in the regulation's documents. Among the 37 sources of data examined in this analysis, 23 are no longer available, and only 3 sources contain information allowing for the characterization of the adequacy of the sample. In addition, none of the data items analyzed were subject to a verification process. These findings highlight the urgent need to modify biofuel regulation to set minimum standards for data quality and the reporting of data sources, paying particular attention to default activity data. (C) 2019 Elsevier Ltd. All rights reserved.
机译:欧洲和美国(美国)的监管计划基于对生命周期温室气体排放量的估计值来强制使用生物燃料,这表明其与传统燃料相比具有环境优势。本文从完整性,可靠性和透明性方面分析了用于计算巴西甘蔗和美国玉米乙醇估算的活动数据的质量。调查结果表明,无法确定数据的完整性,因为该法规的文本和相关文件及其来源无法提供有关数据的代表性或来源的信息。而且,从中提取数据的样本没有透明性。为了获得这些信息,有必要查看法规文件中引用的文学资料。在此分析中检查的37个数据源中,有23个不再可用,只有3个数据源包含可表征样品充分性的信息。此外,所分析的数据项均未经过验证过程。这些发现突出表明,迫切需要修改生物燃料法规,以设置数据质量和数据源报告的最低标准,尤其要注意默认活动数据。 (C)2019 Elsevier Ltd.保留所有权利。

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