Dynamic carbon emissions accounting in the mixed production process of multi-pressure die-castingproducts based on cyber physical production system

Abstract

Die-casting is an efficient and precise casting process, but it consumes significant energy and contributes to severe environmental pollution. The characteristic features of the die-casting process chain include high demand for energy and resources, dynamic synergy among multiple processing equipment, and mixed production of various products. These characteristics lead to challenges in carbon emission accounting, such as the problem of carbon emission data haze. To address this issue, this study analyzes the dynamic characteristics of carbon emissions in the die-casting process chain to identify the sources of carbon emissions. Subsequently, a multi-source carbon data collection scheme is developed based on these sources, and an information-physical fusion-based model for carbon source data collection and integration is established. Following this, the correlation between carbon sources in the die-casting process chain and the production process is elucidated, and a carbon emission accounting model for mixed production of multiple die-casting products is developed. For model parameterization, time-series power data are systematically integrated. Finally, using the dynamic characteristics of carbon emissions from typical die-casting production and the carbon source data model as a foundation, a case study is conducted on the carbon emissions from mixed production in the die-casting process chain. The results demonstrate the effectiveness, feasibility, and reliability of the proposed carbon emission accounting model. This study lays the foundation for optimizing carbon reduction in the die-casting process chain and supports the transition to a low-carbon die-casting workshop.