热泵精馏耦合吸收处理含盐氨水
Heat pump distillation coupled absorption treatment of saline ammonia water
杨德明 1杨舒壮 1代志先 1张宇1
作者信息
- 1. 常州大学 石油化工学院,江苏 常州 213164
- 折叠
摘要
针对含盐氨水的回收与处理,利用蒸发除盐、精馏脱氨并耦合吸收制备一定浓度的氨水.采用一系列节能技术对蒸发和精馏进行计算优化,即双效蒸发与塔顶蒸汽直接压缩热泵精馏耦合吸收工艺(Scheme Ⅰ)、热泵蒸发与塔顶蒸汽直接压缩热泵精馏耦合吸收工艺(Scheme Ⅱ)和热泵蒸发与塔底闪蒸再压缩热泵精馏耦合吸收工艺(Scheme Ⅲ).选用ELECNRTL电解质模型计算物系的热力学数据和相平衡数据,并以年总费用、综合能耗和热力学效率等作为工艺评价指标,对提出的以上 3 种处理工艺进行模拟与优化.研究结果表明,与Scheme Ⅰ相比,SchemeⅡ和Scheme Ⅲ可分别节省年总费用22.18%和31.66%;节约能耗47.56%和57.87%;而热力学效率则分别提高了8.59%和2.28%.显然,Scheme Ⅲ在年总费用与能耗方面更具优势,SchemeⅡ在热力学效率方面更具优势.
Abstract
For the recovery and treatment of saline ammonia water,a certain concentration of ammonia water was prepared by evaporation desalination and distillation ammonia removal coupled absorption.A series of energy saving technologies for optimization of evaporation and distillation were proposed,namely the double effect evaporation and overhead steam direct compression heat pump distillation coupled absorption process(SchemeⅠ),the heat pump evaporation and overhead steam direct compression heat pump distillation coupled absorption process(Scheme Ⅱ),and the heat pump evaporation and the tower kettle flash recompression heat pump distillation coupled absorption process(Scheme Ⅲ).The ELECNRTL electrolyte model was selected to calculate the thermodynamic data and the phase equilibrium data of the system.Taking annual total cost,energy consumption and thermodynamic efficiency as process evaluation indicators,the three proposed treatment processes were simulated and optimized.The research results show that compared with Scheme Ⅰ,Scheme Ⅱ and Scheme Ⅲ can save annual total cost by 22.18％and 31.66％,save energy by 47.56％and 57.87％,and increase the thermodynamic efficiency by 8.59％and 2.28％,respectively.Obviously,Scheme Ⅲ has advantages in terms of the annual total cost and energy consumption,and Scheme Ⅱ has advantages in terms of thermodynamic efficiency.
关键词
含盐氨水/热泵/多效蒸发/节能/年总费用Key words
saline ammonia water/heat pump/multi-effect evaporation/energy saving/annual total cost引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据