GIR, Escola d'Enginyeria d'Igualada (EEI), Universitat Politècnica de Catalunya (UPC, Barcelona tech), Pla de la Massa, 8, 08700 Igualada, Spain; Cyclus Vitae Solutions, S.L., Avinguda Caresmar 33, 1, 08700 Igualada, Spain.
GIR, Escola d'Enginyeria d'Igualada (EEI), Universitat Politècnica de Catalunya (UPC, Barcelona tech), Pla de la Massa, 8, 08700 Igualada, Spain.
Sci Total Environ. 2017 Mar 1;581-582:722-733. doi: 10.1016/j.scitotenv.2016.12.190. Epub 2017 Jan 11.
Carbon footprint (CF) is nowadays one of the most widely used environmental indicators. The scope of the CF assessment could be corporate (when all production processes of a company are evaluated, together with upstream and downstream processes following a life cycle approach) or product (when one of the products is evaluated throughout its life cycle). Our hypothesis was that usually product CF studies (PCF) collect corporate data, because it is easier for companies to obtain them than product data. Six main methodological issues to take into account when collecting corporate data to be used for PCF studies were postulated and discussed in the present paper: fugitive emissions, credits from waste recycling, use of "equivalent factors", reference flow definition, accumulation and allocation of corporate values to minor products. A big project with 18 wineries, being wine one of the most important agri-food products assessed through CF methodologies, was used to study and to exemplify these 6 methodological issues. One of the main conclusions was that indeed, it is possible to collect corporate inventory data in a per year basis to perform a PCF, but having in mind the 6 methodological issues described here. In the literature, most of the papers are presenting their results as a PCF, while they collected company data and obtained, in fact, a "key performance indicator" (ie., COeq emissions per unit of product produced), which is then used as a product environmental impact figure. The methodology discussed in this paper for the wine case study is widely applicable to any other product or industrial activity.
碳足迹(CF)是当今应用最广泛的环境指标之一。CF 评估的范围可以是企业(当评估公司的所有生产过程,并采用生命周期方法评估上下游过程),也可以是产品(当评估产品整个生命周期中的一个产品时)。我们的假设是,通常产品 CF 研究(PCF)会收集企业数据,因为公司比产品数据更容易获得这些数据。本文提出并讨论了在为 PCF 研究收集用于企业数据时需要考虑的六个主要方法问题:逸散排放、废物回收的信贷、使用“等效因子”、参考流量定义、企业价值的积累和分配给小产品。一个拥有 18 家酿酒厂的大型项目被用来研究和举例说明这 6 个方法问题,葡萄酒是通过 CF 方法评估的最重要的农产品之一。其中一个主要结论是,实际上,有可能以年度为基础收集企业清单数据来执行 PCF,但需要考虑到这里描述的 6 个方法问题。在文献中,大多数论文都以 PCF 的形式呈现其结果,而实际上他们是收集了公司的数据,并获得了“关键绩效指标”(即,每单位产品的 COeq 排放量),然后将其用作产品环境影响的数字。本文讨论的针对葡萄酒案例研究的方法广泛适用于任何其他产品或工业活动。