王克峰

个人信息Personal Information

副教授

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:化工学院

联系方式:15942851333

电子邮箱:wangkf@dlut.edu.cn

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基于模拟分析技术和随机搜索算法的化工过程能量集成方法研究

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论文类型:期刊论文

发表时间:2022-06-28

发表刊物:高校化学工程学报

期号:2

页面范围:322-327

ISSN号:1003-9015

摘要:Pinch analysis technology has been widely used for energy integration throughout the process industry. However, it targets only the minimization of energy cost rather than total cost function minimization which includes the investment cost in addition to the utility cost. Here a study on energy integration of process system was presented, which is based on combined applications of Stochastic Search and Simulation Analysis. Simulation and pinch analysis is implemented on ASPEN engineering suite, and Genetic Algorithm (GA) and Pattern Search (PS) are implemented in MATLAB toolbox. After simulating the process system in AspenPlus, the stream data are generated automatically by the interface between AspenPlus and AspenPinch, then the heating and cooling curves are drawn in AspenPinch, via which ways of debottlenecking for energy integration are found. An appropriate Cost Function of process system is easily embedded in GA or PS, which helps target the cost function minimization in process system. The energy integration of petrochemical gas separation plant was taken as a case to demonstrate the validity and feasibility of the proposed method.

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