Title: Real-time carbon emissions monitoring based on IoT sensor data and green supply chain management

Authors: Mingming Chen; Kehan Bian; Zhu Zhou; Songwei Zeng

Addresses: College of Optical, Mechanical and Electrical Engineering, Zhejiang Agriculture and Forestry University, Hangzhou 311300, Zhejiang, China ' School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China ' College of Optical, Mechanical and Electrical Engineering, Zhejiang Agriculture and Forestry University, Hangzhou 311300, Zhejiang, China ' College of Optical, Mechanical and Electrical Engineering, Zhejiang Agriculture and Forestry University, Hangzhou 311300, Zhejiang, China

Abstract: An innovative strategy for reducing CO₂ emissions is an environmentally friendly multi-energy system (EFMES) designed to remove carbon dioxide (CO₂) from energy production. The EFMES-based green optimisation with mixed-integer programming (GOMIP) technique improves energy distribution by focusing on creating a power hub that uses renewable energy sources. This method reduces carbon emissions and improves sustainability by protecting ecosystems and preserving resources. The experimental result shows an emission ratio of 9 gCO₂/mi, cost of 100 INR, financial constraint rate of 50%, reliability resilience of 8%, and environmental criteria 5 index compared to other methods.

Keywords: integrated algebraic modelling; renewable energy; energy conservation; internet of things sensor data; green supply chain management; carbon dioxide emissions.

DOI: 10.1504/IJGW.2025.145680

International Journal of Global Warming, 2025 Vol.36 No.1, pp.67 - 85

Received: 11 Sep 2024
Accepted: 15 Dec 2024
Published online: 14 Apr 2025 *

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