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Energy consumption optimization of regeneration tower for MEA CO2 capture process |
ZHAO Dongya1, WANG Jiafeng1, TIAN Qunhong1, LU Shijian1,2
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(1.College of Chemical Engineering in China University of Petroleum (East China), Qingdao 266580, China;2.Energy and Environmental Engineering Company Limited, SINOPEC, Dongying 257026, China)
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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. |
Key words: carbon dioxide capture regeneration tower penalty function method energy consumption optimization |
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