Vázquez-Rowe Ian, Iribarren Diego
Public Research Centre Henri Tudor (CRPHT)/Resource Centre for Environmental Technologies (CRTE), 6A Avenue des Hauts-Fourneaux, 4362 Esch-sur-Alzette, Luxembourg ; Peruvian LCA Network, Faculty Department of Engineering, Pontificia Universidad Católica del Perú, 1801 Avenida Universitaria, San Miguel, Lima 32, Peru ; Department of Chemical Engineering, University of Santiago de Compostela, Rúa Lope Gómez de Marzoa s/n, 15782 Santiago de Compostela, Spain.
Public Research Centre Henri Tudor (CRPHT)/Resource Centre for Environmental Technologies (CRTE), 6A Avenue des Hauts-Fourneaux, 4362 Esch-sur-Alzette, Luxembourg ; Instituto IMDEA Energía, 3 Avenida Ramón de la Sagra, 28935 Móstoles, Spain.
ScientificWorldJournal. 2015;2015:813921. doi: 10.1155/2015/813921. Epub 2015 Jan 12.
Life-cycle (LC) approaches play a significant role in energy policy making to determine the environmental impacts associated with the choice of energy source. Data envelopment analysis (DEA) can be combined with LC approaches to provide quantitative benchmarks that orientate the performance of energy systems towards environmental sustainability, with different implications depending on the selected LC + DEA method. The present paper examines currently available LC + DEA methods and develops a novel method combining carbon footprinting (CFP) and DEA. Thus, the CFP + DEA method is proposed, a five-step structure including data collection for multiple homogenous entities, calculation of target operating points, evaluation of current and target carbon footprints, and result interpretation. As the current context for energy policy implies an anthropocentric perspective with focus on the global warming impact of energy systems, the CFP + DEA method is foreseen to be the most consistent LC + DEA approach to provide benchmarks for energy policy making. The fact that this method relies on the definition of operating points with optimised resource intensity helps to moderate the concerns about the omission of other environmental impacts. Moreover, the CFP + DEA method benefits from CFP specifications in terms of flexibility, understanding, and reporting.
生命周期（LC）方法在能源政策制定中发挥着重要作用，以确定与能源来源选择相关的环境影响。数据包络分析（DEA）可以与LC方法相结合，以提供定量基准，使能源系统的性能朝着环境可持续性发展，具体影响取决于所选的LC + DEA方法。本文研究了当前可用的LC + DEA方法，并开发了一种将碳足迹核算（CFP）与DEA相结合的新方法。因此，提出了CFP + DEA方法，这是一种五步结构，包括多个同质实体的数据收集、目标运行点的计算、当前和目标碳足迹的评估以及结果解释。由于当前能源政策背景意味着以人类为中心的视角，关注能源系统的全球变暖影响，预计CFP + DEA方法将是为能源政策制定提供基准的最一致的LC + DEA方法。该方法依赖于具有优化资源强度的运行点定义，这一事实有助于缓解对其他环境影响被忽略的担忧。此外，CFP + DEA方法在灵活性、理解性和报告方面受益于CFP规范。
