摘 要
化工过程中的能量集成是实现节能减排和提高能源利用效率的关键技术之一。随着全球能源需求的持续增长和环境问题的日益严峻，优化化工生产中的能量使用已成为行业发展的必然趋势。本研究旨在探讨化工过程中能量集成的有效策略，并通过实际案例分析验证其可行性与优越性。研究基于夹点技术、热泵系统以及多尺度优化方法，构建了一套适用于复杂化工系统的能量集成框架。通过对典型化工装置的能量流进行建模与分析，提出了一种结合动态调度与设备改造的综合优化方案。结果表明，该方案能够显著降低系统的能耗水平，同时减少温室气体排放量。具体而言，在某石化企业的实际应用中，通过实施所提出的能量集成策略，整体能耗降低了约15%，年节约成本超过200万元。此外，本研究还创新性地引入了人工智能算法以辅助优化决策，进一步提升了能量集成的精确性和适应性。总体而言，本研究不仅为化工行业的能量管理提供了新的思路，也为其他高能耗工业领域的节能降耗实践奠定了理论基础。关键词：能量集成；化工过程；夹点技术；热泵系统；人工智能算法
Abstract
Energy integration in chemical processes is one of the key technologies for achieving energy conservation, emission reduction, and improving energy utilization efficiency. With the continuous growth of global energy demand and the increasing severity of environmental issues, optimizing energy usage in chemical production has become an inevitable trend for industry development. This study aims to explore effective strategies for energy integration in chemical processes and validate their feasibility and superiority through case analysis. Based on pinch technology, heat pump systems, and multi-scale optimization methods, an energy integration fr amework applicable to complex chemical systems was constructed. By modeling and analyzing the energy flows of typical chemical installations, a comprehensive optimization scheme combining dynamic scheduling and equipment retrofitting was proposed. The results indicate that this scheme can significantly reduce the energy consumption level of the system while decreasing greenhouse gas emissions. Specifically, in the practical application at a petrochemical enterprise, the implementation of the proposed energy integration strategy led to an overall energy consumption reduction of approximately 15%, with annual cost savings exceeding 2 million yuan. Furthermore, this study innovatively introduced artificial intelligence algorithms to assist in optimization decision-making, further enhancing the accuracy and adaptability of energy integration. Overall, this research not only provides new insights into energy management in the chemical industry but also lays a theoretical foundation for energy-saving and emission-reduction practices in other high-energy-consuming industrial sectors..Key Words：Energy Integration；Chemical Process；Pinch Technology；Heat Pump System；Artificial Intelligence Algorithm
目 录
摘 要 I
Abstract II
第1章 绪论 2
1.1 化工过程能量集成的研究背景 2
1.2 能量集成在化工领域的意义分析 2
1.3 国内外研究现状与发展趋势 3
1.4 本文研究方法与技术路线 3
第2章 化工过程能量集成的基础理论 4
2.1 能量集成的基本概念与原理 4
2.2 热力学在能量集成中的应用 4
2.3 能量梯级利用的理论基础 5
2.4 工艺流程中的能量流分析方法 5
2.5 能量集成模型的构建与优化 6
第3章 化工过程中能量集成的关键策略 7
3.1 换热网络的设计与优化策略 7
3.2 废热回收与再利用的技术路径 7
3.3 可再生能源在化工过程中的集成应用 8
3.4 多尺度能量管理的实现方法 8
3.5 策略实施中的经济性与环境效益评估 9
第4章 能量集成在典型化工过程中的实践案例 10
4.1 石油化工中的能量集成实践 10
4.2 煤化工过程的能量优化方案 10
4.3 制药工业中的能量高效利用案例 11
4.4 食品加工中的能量集成技术应用 11
4.5 实践中的挑战与改进建议 12
结 论 12
参考文献 14
致 谢 15
