Ding Suiting, Tukker Arnold, Ward Hauke
Institute of Environmental Sciences (CML), Department of Industrial Ecology, Leiden University, the Netherlands.
Institute of Environmental Sciences (CML), Department of Industrial Ecology, Leiden University, the Netherlands; The Netherlands Organization for Applied Scientific Research TNO, the Netherlands; 2022-2023 Fellow, Paris Institute of Advanced Sciences, Paris, France.
J Environ Manage. 2023 Jun 15;336:117662. doi: 10.1016/j.jenvman.2023.117662. Epub 2023 Mar 11.
In recent years, circular business models (CBM) have become an inevitable requirement to foster improvements in environmental performance. However, the current literature rarely discusses the link between Internet of Things (IoT) and CBM. This paper first identifies four IoT capabilities including monitoring, tracking, optimization and design evolution for improving CBM performance based on the ReSOLVE framework. In a second step, a systematic literature review using the PRISMA approach analyzes how these capabilities contribute to 6 R and CBM through the CBM-6R and CBM-IoT cross-section heatmaps and relationship frameworks, followed by assessing the quantitative impacts of IoT on potential energy saving in CBM. Finally, challenges are analyzed for the realization of IoT-enabled CBM. The results show that the assessments of Loop and Optimize business models dominate current studies. IoT plays a significant role in these business models respectively through tracking, monitoring and optimization capabilities. While (quantitative) case studies for Virtualize, Exchange and Regenerate CBM are substantially needed. IoT holds the potential to reduce energy consumption by around 20-30% for referenced applications in the literature. However, the IoT hardware, software and protocol energy consumption, interoperability, security and financial investment might become main obstacles for the wider use of IoT in CBM.
近年来，循环商业模式（CBM）已成为促进环境绩效提升的必然要求。然而，当前文献很少讨论物联网（IoT）与CBM之间的联系。本文首先基于ReSOLVE框架确定了四种物联网能力，包括监测、跟踪、优化和设计演进，以提高CBM绩效。第二步，采用PRISMA方法进行系统的文献综述，通过CBM - 6R和CBM - IoT横截面热图及关系框架分析这些能力如何促进6R和CBM，随后评估物联网对CBM潜在节能的定量影响。最后，分析了实现物联网支持的CBM所面临的挑战。结果表明，当前研究主要集中在循环和优化商业模式的评估上。物联网分别通过跟踪、监测和优化能力在这些商业模式中发挥着重要作用。而虚拟化、交换和再生CBM的（定量）案例研究则亟需开展。对于文献中引用的应用，物联网有潜力将能源消耗降低约20 - 30%。然而，物联网硬件、软件和协议的能源消耗、互操作性、安全性以及财务投资可能会成为物联网在CBM中更广泛应用的主要障碍。
