遇见数据集

Data for: Optimization of solvent properties for post-combustion CO2 capture using process simulation

收藏
Mendeley Data2026-04-18 收录
官方服务:

资源简介:

Process simulations have been used to identify the most important properties of the absorbent for post-combustion CO2 recovery and provide valuable insight for further solvent development. The process model has been validated by pilot plant data. Afterward, the effects of various solvent physicochemical properties including liquid density, surface tension, thermal conductivity, viscosity, volatility, heat capacity, CO2 solubility, enthalpy of solution, solvent strength and absorption kinetics on the CO2 capture performance have been investigated separately. Then a viscous solvent with low volatility and slow absorption kinetics is assumed to service a 450 MW natural gas combined cycle power plant. Combined with an economic analysis, sensitivity studies of solvent properties are employed for this water-lean absorbent.

本研究通过流程模拟,明确了燃烧后二氧化碳(CO₂)回收用吸收剂的核心性能参数,并为后续溶剂研发提供了宝贵的参考依据。该流程模型已通过中试装置数据完成验证。随后,研究人员分别考察了溶剂各项理化性质——包括液体密度、表面张力、导热系数、黏度、挥发性、热容、二氧化碳溶解度、溶解焓、溶剂强度及吸收动力学——对二氧化碳捕集性能的影响。在此基础上,选取一款低挥发性、吸收动力学缓慢的黏性溶剂,应用于450兆瓦级天然气联合循环发电厂。结合经济性分析,针对该贫水吸收剂开展了溶剂性能的敏感性研究。

创建时间:
2020-08-04
二维码
社区交流群
二维码
科研交流群
商业服务