2025 Spring Meeting and 21st Global Congress on Process Safety
(139b) Peer-to-Peer Blockchain Framework for Eco-Efficient Resource Exchange and Emissions Management
To achieve sustainable industrial development, it is crucial to integrate material and energy flows efficiently across industrial processes while enforcing effective Emissions Management Systems (EMS). One of the significant challenges is promoting transparency, accountability, and data privacy during the optimization of resource and energy use, and restricting emissions within an industrial cluster. This study introduces a novel framework aimed at designing optimal processing clusters through a blockchain-enabled trading platform for resource exchange and emissions management. The approach creates integrated processing clusters, incorporating a blockchain-based system for resource trading and emissions regulation. The resource trading system aims to enhance transparency and traceability, enabling accurate monitoring of material and energy flows. Furthermore, the framework incorporates a mathematical model in conjunction with smart contracts on the Ethereum blockchain, providing enhanced data privacy, traceability, and game-theoretic based fair cost allocation among industrial participants to meet environmental goals. This model also calculates emissions levels and suggests investments in carbon capture and storage (CCS) technologies to improve the system's efficiency and reliability. By equipping decision-makers and regulators with a robust analytical tool, this framework enhances understanding of the interaction between resource exchange and emissions management. Furthermore, the use of blockchain technology supports the development of new policies and ensures regulatory compliance, ultimately contributing to sustainable industrial transformation. This advancement has the potential to shape future policymaking, technology adoption, and the establishment of new industrial standards, marking a significant leap toward achieving environmental sustainability.