在化学工业中脱碳的模型
Yuan Yao1,2, Kai Lan1, Thomas E Graedel1
1Center for Industrial Ecology, Yale School of the Environment, Yale University, New Haven, Connecticut, USA;
Annual review of chemical and biomolecular engineering
|January 25, 2024
概括
本研究审查了用于化学工业脱碳的系统分析模型,整合了碳捕获和生物质原料等技术. 先进的模型有助于优化可持续的工业路径.
科学领域:
- 工业化学和工程 工业化学和工程
- 环境科学与可持续发展
- 系统分析和建模
背景情况:
- 化学工业面临着脱碳的巨大压力,需要评估各种技术和策略.
- 评估脱碳对环境和经济的影响对于可持续的工业未来至关重要.
- 系统分析模型是评估这些复杂影响的关键工具.
研究的目的:
- 审查化学工业脱碳的进步和系统分析模型的整合.
- 通过分析方法和应用尺度对关键脱碳技术和循环经济战略进行模型分类.
- 突出需要数据驱动,整体方法和跨学科合作.
主要方法:
- 系统分析模型的审查:过程分析,材料流分析,生命周期评估,技术经济分析和机器学习.
- 基于分析方法和尺度 (微,中,宏) 的模型的分类.
- 将前性,数据驱动的方法集成到现有模型中.
主要成果:
- 确定和分类适用于碳捕获,储存和利用 (CCSU),生物质原料和电气化的模型.
- 展示集成模型如何优化复杂的工业系统并评估未来的影响.
- 认可工业生态,经济和基于行星边界的建模以进行整体评估的进步.
结论:
- 先进的综合系统分析模型对于导航化学工业脱碳路径至关重要.
- 需要进一步的研究,以将生态系统影响纳入这些整体评估.
- 化学工程,工业生态学和经济学之间的跨学科合作对于有效的模型应用至关重要.
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