推进直接空气捕获的部署和信息管理:整合联盟区块链系统的解决方案

Zihan Chen , Yiyu Liu , Eryu Wang , Huajie You , Qi Gao , Fan David Yeung , Jia Li
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引用次数: 0

摘要

直接空气捕集(DAC)是一种重要的新兴负排放技术(NET),可直接清除大气中的二氧化碳,极大地促进气候变化。然而,大规模 DAC 的部署和管理面临着各种挑战,如能耗数据的收集和分析、错综复杂的设备和系统管理、排放预测和运行策略、精确的碳足迹跟踪等。本文利用区块链固有的不可篡改性、安全性和透明性等特性,提出将区块链技术与 DAC 系统集成,以应对这些挑战。实施策略包括开发一个 DAC 联盟区块链系统,利用共识机制1 、ECDSA 加密2 、物联网3 集成和数字签名。对拟议系统的初步建模表明,该系统有可能提高运行效率并减少数据不准确性。拟议系统强调了该系统简化身份验证、提高数据收集准确性以及促进 DAC 利益相关者之间安全、保密信息共享的能力。通过提高 DAC 运行的效率和可靠性,该方法支持在全球应对气候变化的努力中可扩展和有效地部署 NET。未来的研究将侧重于通过试点项目和模拟进行经验验证,以进一步证实这些主张。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancing the deployment and information management of direct air capture: A solution enabled by integrating consortium blockchain system
Direct air capture (DAC) is a critical and emerging Negative Emissions Technology (NET) that directly removes CO2 from the atmosphere, significantly contributing to climate change. However, the deployment and management of large-scale DAC faces challenges such as collections and analysis of energy consumption data, intricate device and system management, emission prediction and operation strategy, precise carbon footprint tracking, etc. This paper proposes the integration of blockchain technology with DAC systems to address these challenges, utilizing blockchain's inherent properties of immutability, security, and transparency. The implementation strategy includes the development of a DAC consortium blockchain system, leveraging a consensus mechanism,1 ECDSA encryption,2 IoT3 integration, and digital signatures. Preliminary modeling of the proposed system suggests potential improvements in operational efficiency and a reduction in data inaccuracies. The proposed system underscores the system's ability to streamline identity verification, improve data collection accuracy, and facilitate secure, confidential information sharing among DAC stakeholders. By enhancing the efficiency and reliability of DAC operations, this approach supports the scalable and effective deployment of NETs in the global effort to combat climate change. Future research will focus on empirical validation through pilot projects and simulations to further substantiate these claims.
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