MEA法碳捕集工艺再生塔能耗优化

Energy consumption optimization of regeneration tower for MEA CO2 capture process

关键词:  CO₂捕集  再生塔  罚函数法  能耗优化

Key words:  carbon dioxide capture  regeneration tower  penalty function method  energy consumption optimization

摘要:

针对再生塔反应精馏特点,基于再生塔机制模型,建立再生塔能耗优化模型。运用非线性规划优化方法中的罚函数法及牛顿法,以进入再生塔的富液温度为决策变量,对再生塔能耗进行优化。结果表明:在最优富液入塔温度条件下,返塔冷凝液温度和富液升温差的敏感性较差,将富液入塔温度作为决策变量可忽略其影响;再生塔塔底压力的增大有利于降低再生能耗;气相流率的减小有利于降低再生能耗;本文中提供的优化方法有效可靠。

Abstract:

According to the characteristics of reactive distillation of regeneration tower, an optimization model was established on the basis of the mechanism model of regeneration tower. By using nonlinear programming optimization methods including penalty function method and Newton method, the regeneration consumption was optimized by taking the temperature of the rich liquid entering the regeneration tower as the decision variable. The results show that under the optimal temperature of the rich liquid entering the tower, the temperature of the condensate returning to the column and the temperature difference of the rich liquid are less sensitive. The influence of that can be ignored when the temperature of the rich liquid is used as the decision variable. The increase of the bottom pressure of the regeneration tower is beneficial to reduce the regeneration energy consumption. The reduction of gas flow rate is beneficial to the reduction of renewable energy consumption. The optimization method presented in this paper is effective and reliable.