Current status of CO2 chemical absorption research applied to CCS: Towards full deployment at industrial scale

Atmospheric warming due to greenhouse gases has become a serious global concern. Extensive efforts are being made to combat this phenomenon through Carbon Capture as carbon dioxide is its major contributor. In this work, a comprehensive review has been made on various Carbon Capture methodologies including adsorption, absorption, membrane separation, Chemical Looping Combustion, cryogenic separation with focus on their process chemistry, critical process parameters, contactor configurations, kinetics, thermodynamics, process development and scale-up. The challenges at the research and development stages have also been identified so as to provide the future directions for research.

A journey into the process and engineering aspects of carbon capture technologies

A comparative review between amines and ammonia as sorptive media for post-combustion CO2 capture

The world will need greatly increased energy supply in the future for sustained economic growth, but the related CO2 emissions and the resulting climate changes are becoming major concerns. CO2 is one of the most important greenhouse gases that is said to be responsible for approximately 60% of the global warming. Along with improvement of energy efficiency and increased use of renewable energy sources, carbon capture and sequestration (CCS) is expected to play a major role in curbing the greenhouse gas emissions on a global scale. This article reviews the various options and technologies for CO2 capture, specifically for stationary power generation sources. Many options exist for carbon dioxide capture from such sources, which vary with power plant types, and include post-combustion capture, pre-combustion capture, oxy fuel combustion capture, and chemical looping combustion capture. Various carbon dioxide separation technologies can be utilized with these options, such as chemical absorption, physical absorption, adsorption, and membrane separation. Most of these capture technologies are still at early stages of development. Recent progress and remaining challenges for the various CO2 capture options and technologies are reviewed in terms of capacity, selectivity, stability, energy requirements, etc. Hybrid and modified systems hold huge future potentials, but significant progress is required in materials synthesis and stability, and implementations of these systems on demonstration plants are needed. Improvements and progress made through applications of process systems engineering concepts and tools are highlighted and current gaps in the knowledge are also mentioned. Finally, some recommendations are made for future research directions.

/pdf/carbon-capture-from-stationary-power-generation-sources-a-tnsxkhnufd.pdf

Carbon capture from stationary power generation sources: A review of the current status of the technologies

Simultaneous removal of NO and SO2 using aqueous peroxymonosulfate with coactivation of Cu2+/Fe3+ and high temperature

Research on mass transfer of CO2 absorption using ammonia solution in spray tower

As CO2 is the major greenhouse gas, reducing its emission has become an attentive problem in the whole world. It is very important to develop CO2 capture technology for coal-fired power plants. Using ammonia solution to absorb CO2 from the flue gas, which is expected to have advantages of low cost, high efficiency and high absorption load, has become an emerging, hot research area in recent years. However, this technology faces a troublesome problem of ammonia escape. This paper analyzes the mechanism of escaping ammonia; it is also shown the main existing methods to control the escape of ammonia. By comparison, it is concluded that controlling the source of ammonia is feasible. It is also shown that adding some organic additives can inhibit the escape of ammonia and enhance the CO2 removal to some extent at the same time.

Research on mechanism of ammonia escaping and control in the process of CO2 capture using ammonia solution

Study on NO enhanced absorption using FeIIEDTA in (NH4)2SO3 solution

Experimental study on FeIICit enhanced absorption of NO in (NH4)2SO3 solution

Mental workload is a critical consideration in complex man-machine systems design. Among various mental workload detection techniques, multimodal detection techniques integrating electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) signals have attracted considerable attention. However, existing EEG-fNIRS-based mental workload detection methods have certain defects, such as complex signal acquisition channels and low detection accuracy, which restrict their practical application.The signal acquisition configuration was optimized by analyzing the feature importance in mental workload recognition model and a more accurate and convenient EEG-fNIRS-based mental workload detection method was constructed. A classical Multi-Task Attribute Battery (MATB) task was conducted with 20 participating volunteers. Subjective scale data, 64-channel EEG data, and two-channel fNIRS data were collected.A higher number of EEG channels correspond to higher detection accuracy. However, there is no obvious improvement in accuracy once the number of EEG channels reaches 26, with a four-level mental workload detection accuracy of 76.25 ± 5.21%. Partial results of physiological analysis verify the results of previous studies, such as that the θ power of EEG and concentration of O2Hb in the prefrontal region increase while the concentration of HHb decreases with task difficulty. It was further observed, for the first time, that the energy of each band of EEG signals was significantly different in the occipital lobe region, and the power of [Formula: see text] and [Formula: see text] bands in the occipital region increased significantly with task difficulty. The changing range and the mean amplitude of O2Hb in high-difficulty tasks were significantly higher compared with those in low-difficulty tasks.The channel configuration of EEG-fNIRS-based mental workload detection was optimized to 26 EEG channels and two frontal fNIRS channels. A four-level mental workload detection accuracy of 76.25 ± 5.21% was obtained, which is higher than previously reported results. The proposed configuration can promote the application of mental workload detection technology in military, driving, and other complex human-computer interaction systems. 

/pdf/optimized-electroencephalogram-and-functional-near-infrared-2u3rqryn.pdf

Jiehong Yang

Papers

Research on mass transfer of CO2 absorption using ammonia solution in spray tower

Research on mechanism of ammonia escaping and control in the process of CO2 capture using ammonia solution

Study on NO enhanced absorption using FeIIEDTA in (NH4)2SO3 solution

Experimental study on FeIICit enhanced absorption of NO in (NH4)2SO3 solution

Optimized electroencephalogram and functional near-infrared spectroscopy-based mental workload detection method for practical applications