摘 要
随着全球能源需求的不断增长和环境问题的日益严峻，化学工程领域的热力学优化策略研究显得尤为重要。文章通过对这些基础理论的系统梳理，为后续的热力学优化方法研究奠定了理论基础。第三章详细介绍了化学工程中的热力学优化方法，包括过程模拟、热力学优化算法以及热力学优化策略。特别地，通过案例分析，展示了这些优化方法在实际化工过程中的应用效果，验证了其有效性。第四章聚焦于热力学优化在实际化工过程中的应用，详细讨论了反应过程优化、分离过程优化、能量系统集成与优化以及环境影响与可持续性分析。每一部分都深入分析了优化策略的具体实施方法和效果，为化工过程的优化提供了实践指导。在第五章中，本文展望了热力学优化策略的发展趋势，包括高级建模与仿真技术的应用、多尺度与跨学科集成优化、人工智能与机器学习在热力学优化中的融合。
关键词：化学工程 热力学优化 过程模拟 优化算法
Abstract
With the increasing global energy demand and the increasingly severe environmental problems, the study of thermodynamic optimization strategy in the field of chemical engineering is particularly important. Through the systematic review of these basic theories, this paper lays a theoretical foundation for the subsequent study of thermodynamic optimization methods. In chapter 3, thermodynamic optimization methods in chemical engineering are introduced in detail, including process simulation, thermodynamic optimization algorithm and thermodynamic optimization strategy. In particular, through case analysis, the application effect of these optimization methods in the actual chemical process is demonstrated, and their effectiveness is verified. Chapter 4 focuses on the application of thermodynamic optimization in practical chemical processes, and discusses in detail the optimization of reaction process, separation process, energy system integration and optimization, and environmental impact and sustainability analysis. Each part deeply analyzes the specific implementation method and effect of optimization strategy, and provides practical guidance for the optimization of chemical process. In Chapter 5, this paper looks forward to the development trend of thermodynamic optimization strategies, including the application of advanced modeling and simulation techniques, multi-scale and interdisciplinary integration optimization, and the integration of artificial intelligence and machine learning in thermodynamic optimization.
Keyword:Chemical engineering Thermodynamic optimization Process simulation Optimization algorithm
目 录
1绪论 1
1.1研究背景及意义 1
1.2国内外研究现状 1
1.3研究目的 1
2热力学基础与优化理论 2
2.1热力学基本原理 2
2.2热力学第二定律与效率 2
2.3优化理论基础 2
2.4热力学优化的应用领域 3
3化学工程中的热力学优化方法 3
3.1过程模拟 3
3.2热力学优化算法 3
3.3热力学优化策略 4
3.4案例分析热力学优化策略 4
4热力学优化在实际化工过程中的应用 4
4.1反应过程优化 4
4.2分离过程优化 5
4.3能量系统集成与优化 5
4.4环境影响与可持续性分析 5
5热力学优化策略的发展趋势 6
5.1高级建模与仿真技术的应用 6
5.2多尺度与跨学科集成优化 6
5.3人工智能与机器学习在热力学优化中的融合 7
5.4碳中和与低碳过程的热力学优化策略 7
6结论 7
参考文献 9
致谢 10
