A Framework for Carbon Emission Quantification of Mechanical Machining Process Based on IoT and MEFA. Issue 5 (2020)

• Record Type: Journal Article
• Authors: Yao, Xin; Yan, Wei; Zhang, Hua; Jiang, .Zhigang; Zhu, .Shuo
• Is Part Of: IFAC-PapersOnLine. Volume 53:Issue 5(2020)
• Page Start: 25
• Page End: 30
• Publication Date: 2020
• Subjects: Carbon emission quantification -- Material -- energy flow analysis (MEFA) -- Internet of things technology (IoT) -- Business Process Modeling Notation (BPMN); Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2021.04.079
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Mechanical machining process consumes massive energy and material, which causes amount of carbon emissions. However, due to the complicated relationship of material flow and energy flow in machining process, It is difficult to comprehensively analyze carbon emission sources and quantify carbon emission clearly. Aiming to address this problem, a four-layer framework for quantifying carbon emissions in machining process based on Internet of Things(IoT) and Material and Energy Flow Analysis (MEFA) technology is proposed. Firstly, the carbon emission characteristic of machining process was studied with MEFA, and the carbon emission flow path of the machining process was clear with Business Process Modeling Notation (BPMN). Secondly, carbon emission related data obtained through IoT. Then, a carbon emission quantification model is established, and the results are analyzed and applied. With a case study of a convex boss, the proposed approach was verified, and which can be used to provide decision support for enterprise carbon emission management.