Integrating IoT Technology with a Systems Engineering Approach to Improve the GHG Emission Accounting in the Waste Management Industry

Tobias Hylleseth, Henri Giudici, Gerrit Muller
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Abstract

This work presents how to automate emission accounting and analysis in the waste management industry. The methodology adopted is based on the combined use of Internet of Things (IoT) technology and a Systems Engineering approach. The presented methodology has been tested in an industrial case. In the case, there were multiple systems available to collect environmental data. However, the accessibility and the interpretability of this environmental data were observed as a challenge. After gathering the data in a centralized database, the automation of the Green House Gasses (GHG) emission management and accounting was performed. Findings show that the operational emissions of the industry partner mainly occur from energy and fuel consumption. By measuring and categorizing energy usage, the industry partner identified several potential improvements for reducing emissions. Lowering energy usage can consequently decrease the associated carbon footprint. Finally, the authors suggest some useful insights for companies with the aim of improving the effectiveness and efficiency of industrial GHG emissions accounting.

将物联网技术与系统工程方法相结合,改进废物管理行业的温室气体排放核算工作
这项工作介绍了如何在废物管理行业实现排放核算和分析自动化。所采用的方法基于物联网技术和系统工程方法的结合使用。所介绍的方法已在一个工业案例中进行了测试。在该案例中,有多个系统可用于收集环境数据。然而,这些环境数据的可访问性和可解释性是一个挑战。在将数据收集到中央数据库后,温室气体排放管理和核算实现了自动化。研究结果表明,工业合作伙伴的运营排放主要来自能源和燃料消耗。通过对能源使用情况进行测量和分类,该行业合作伙伴确定了几项潜在的减排改进措施。降低能源使用量可以减少相关的碳足迹。最后,作者为企业提出了一些有用的见解,旨在提高工业温室气体排放核算的有效性和效率。
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