Abstract:

A data allocation method that accommodated the heterogeneous on-site data collection capabilities of aluminum casting enterprises was proposed， enabling fine-grained carbon emission accounting at the single aluminum casting level， differentiated by product， model， and batch， without requiring additional investment in data collection infrastructure. According to the granularity and interval of carbon emission-related production data， enterprise data acquisition capabilities were categorized into three levels， and corresponding allocation strategies were developed for each level to derive fine-grained energy and material activity levels for individual aluminum castings. Product carbon emissions were calculated using the emission factor method， and a correction mechanism was established to incorporate the effects of internal scrap recycling and external scrap sales. A case study on aluminum wheel production was conducted to validate the proposed method. The results demonstrate that the method effectively overcomes the bias induced by the constant operating condition assumption inherent in traditional literature-based approaches， thereby improving the accuracy of carbon accounting results.

Key words: aluminum casting, carbon emission accounting, production data, data allocation

摘要：

提出了一种适配铝铸件生产企业差异化数据采集能力的数据分配方法，在无需新增成本投入的条件下，实现单件铝铸件按产品、型号和批次区分的细粒度碳排放核算。该方法基于碳排放相关生产数据的采集粒度和周期，将企业数据采集能力划分为高、中、低三个水平，针对不同水平构建相应的数据分配策略，获取单件铝铸件的细粒度能源/材料活动水平；使用排放因子法计算产品级碳排放，并建立了废料回收与外售的碳排放修正机制。最后，以铝制轮毂生产为例进行应用验证，结果表明该方法能够克服传统依赖文献调研数据中工况恒定假设导致的偏差，提高碳核算结果的准确性。

关键词: 铝铸件, 碳排放核算, 生产数据, 数据分配