Recent Progress in CO2 Capture, Utilization, and Storage (CCUS) Technologies for CO2 Emissions Control

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".

Deadline for manuscript submissions: closed (15 January 2023) | Viewed by 8344

Special Issue Editors


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Guest Editor
College of Engineering, Huazhong Agricultural University, No.1, Shizishan Street, Wuhan 430070, China
Interests: CO2 capture, conversion and utilization; thermochemical energy storage
School of Energy and Environment, Southeast University, Nanjing 210096, China
Interests: oxy-fuel combustion; fluidized bed conversion; solid fuel (coal; biomass; solid waste) combustion; NOx/SOx emission; chemical reaction kinetics
School of Automobile Engineering, Changshu Institute of Technology, Changshu 215500, China
Interests: CO2 capture using solid sorbents; thermal conversion of biomass; dry reforming of methane

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Guest Editor
School of Energy and Environment, Southeast University, Nanjing 210096, China
Interests: oxy-fuel combustion; supercritical CO2 power cycle; ammonia combustion

Special Issue Information

Dear Colleagues,

The greenhouse effect and global warming have increased the frequency of extreme weather such as hurricanes, droughts, floods, and extreme heat, bringing immeasurable challenges to the environment on which all humanity depends for survival. Therefore, reducing the emission of greenhouse gases and alleviating the greenhouse effect is attracting extensive attention from all countries in the world. CO2 capture, utilization and storage (CCUS) technology is a promising approach for CO2 emission reduction, especially for the large-scale reduction of CO2 emissions from fossil fuel use (or even zero emissions). However, the application of CCUS technology still suffered from high cost. Therefore, it is urgent to develop an economical and efficient CCUS technology that can be applied to various CO2 capture, storage, and utilization scenarios.

In the past two decades, scholars worldwide have carried out a lot of research on CCUS technology of various technical routes. As a result, the research and development of CCUS have become the forefront of the discipline. This Special Issue will be focused on a variety of CCUS technology research and development progress of the path, including but not limited to fundamental research, scale-up, technical-economical analysis, pilot tests, industrialization demonstration research, and other fields. I hope to provide a reference for academia, industry, and government decision-making and support reserves and large-scale application of CCUS technology.

This Special Issue includes, but is not limited to, the following:

  1. CO2 capture (pre-combustion capture, oxy-fuel combustion, chemical looping combustion and gasification, post-combustion capture, direct air capture, etc.);
  2. CO2 utilization (dry reforming of methane, CO2 hydrogenation to CH4, CH3OH and other chemical products, CO2 conversion to syngas, CO2 photocatalytic conversion,CO2 electrochemical conversion);
  3. CO2 storage (CO2 storage within different geological formations, CO2-EOR、CO2-EGR、CO2-ECBM, etc.);
  4. Other emerging technologies aiming to reduce fossil fuel use (fuel cell, power battery, energy storage, energy conservation and emission reduction technologies, etc.).

Dr. Yingchao Hu
Dr. Lin Li
Dr. Jian Chen
Dr. Yuanqiang Duan
Guest Editors

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Keywords

  • CO2 emission
  • CCUS technology
  • catalysis

Published Papers (4 papers)

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Research

16 pages, 7245 KiB  
Article
Research on Co-Combustion Behaviors of Binary and Ternary Blends of Coal, Walnut Shell, and Biochar by TGA
by Rui Wang, Xianglei Song, Shanjian Liu and Zhuwei Liu
Processes 2022, 10(11), 2264; https://doi.org/10.3390/pr10112264 - 02 Nov 2022
Viewed by 985
Abstract
In this paper, the co-combustion behavior of the walnut shell, biochar, and coal, and the respective binary and ternary blends were investigated by thermogravimetric analysis (TGA) in the oxy-fuel atmosphere (21% O2/79% CO2). The combustion reactivity of coal was [...] Read more.
In this paper, the co-combustion behavior of the walnut shell, biochar, and coal, and the respective binary and ternary blends were investigated by thermogravimetric analysis (TGA) in the oxy-fuel atmosphere (21% O2/79% CO2). The combustion reactivity of coal was similar to biochar but lower than that of the walnut shell. The presence of the walnut shell improved the combustion performance of coal and biochar. The interaction between only biochar and coal was inhibited in the binary blends. The presence of the walnut shell in the ternary blend covered up the inhibition between biochar and coal. The average activation energy of each sample was obtained using the Kissinger-Akahira-Sunose (KAS) and Flynn-Wall-Ozawa (FWO) kinetic models. The results of this study provide a reference for the rational utilization of biomass and biochar and the practical improvement of the thermal conversion efficiency of coal. Full article
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17 pages, 4852 KiB  
Article
Influence of Heterogeneous Caprock on the Safety of Carbon Sequestration and Carbon Displacement
by Xiaochen Wang, Xinwei Liao, Peng Dong, Kang Tang, Xudong Zhao and Chen Guo
Processes 2022, 10(7), 1415; https://doi.org/10.3390/pr10071415 - 20 Jul 2022
Cited by 2 | Viewed by 1357
Abstract
Carbon Capture, Utilization and Storage (CCUS) is a method of burying the captured CO2 into the reservoir and displacement of crude oil from reservoirs, which considers both economy and environmental protection. At present, it is considered as an important means to deal [...] Read more.
Carbon Capture, Utilization and Storage (CCUS) is a method of burying the captured CO2 into the reservoir and displacement of crude oil from reservoirs, which considers both economy and environmental protection. At present, it is considered as an important means to deal with global climate change. To ensure the safety of the CCUS scheme, it is very important to study the invasion and migration of CO2 in different types of caprocks. In this paper, we first choose the injection-production method of fixed gas injection rate at the top of the reservoir and constant pressure oil production at the bottom. Secondly, the distribution of porosity and permeability in the caprock is designed, and four types of caprock models are established: homogeneous caprock, layered homogeneous caprock, heterogeneous caprock, and layered heterogeneous caprock. Finally, the intrusion amount and migration characteristics of CO2 in caprock of four schemes in injection-production stage and burial stage are studied, and comprehensive analysis and evaluation are made in combination with the pressure distribution of caprock. In addition, the oil recovery ratio, geological CO2 storage, and amount of CO2 intrusion in caprock under different injection-production parameters in this model are also analyzed. This study provides a scientific basis for the safe operation of CCUS and geological storage of CO2. Full article
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15 pages, 3086 KiB  
Article
Artificial Neural Network Model for the Prediction of Methane Bi-Reforming Products Using CO2 and Steam
by Hao Deng and Yi Guo
Processes 2022, 10(6), 1052; https://doi.org/10.3390/pr10061052 - 25 May 2022
Cited by 2 | Viewed by 1792
Abstract
The bi-reforming of methane (BRM) is a promising process which converts greenhouse gases to syngas with a flexible H2/CO ratio. As there are many factors that affect this process, the coupled effects of multi-parameters on the BRM product are investigated based [...] Read more.
The bi-reforming of methane (BRM) is a promising process which converts greenhouse gases to syngas with a flexible H2/CO ratio. As there are many factors that affect this process, the coupled effects of multi-parameters on the BRM product are investigated based on Gibbs free energy minimization. Establishing a reliable model is the foundation of process optimization. When three input parameters are changed simultaneously, the resulting BRM products are used as the dataset to train three artificial neural network (ANN) models, which aim to establish the BRM prediction model. Finally, the trained ANN models are used to predict the BRM products when the conditions vary in and beyond the training range to test their performances. Results show that increasing temperature is beneficial to the conversion of CH4. When the molar flow of H2O is at a low level, the increase in CO2 can enhance the H2 generation. While it is more than 0.200 kmol/h, increasing the CO2 flowrate leads to the increase and then decrease in the H2 molar flow in the reforming products. When the numbers of hidden layer neurons in ANN models are set as (3, 3), (3, 6) and (6, 6), all the correlation coefficients of training, validation and test are higher than 0.995. When these ANN models are used to predict the BRM products, the variation range of the prediction error becomes narrower, and the standard deviation decreases with the increase in neuron number. This demonstrates that the ANN model with more neurons has a higher accuracy. The ANN model with neuron numbers of (6, 6) can be used to predict the BRM products even when the operating conditions are beyond the training ranges, demonstrating that this model has good extension performance. This work lays the foundation for an artificial intelligent model for the BRM process, and established ANN models can be further used to optimize the operating parameters in future work. Full article
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14 pages, 6312 KiB  
Article
Effect of Fouling Layer (Acid–Ash Reaction) on Low-Temperature Corrosion Covering Heating Surface in Coal-Fired Flue Gas
by Wei Wei, Hewei Yu, Chang Guo, Xingyu Zhang, Guofu Liu, Shen Cheng and Baofeng Zhao
Processes 2022, 10(2), 241; https://doi.org/10.3390/pr10020241 - 26 Jan 2022
Viewed by 3409
Abstract
Improving the efficiency of coal-fired boiler is beneficial for greenhouse gas control, mainly for carbon dioxide (CO2). The low-temperature corrosion covering heating surfaces is a frequent threat for coal-fired thermal equipment. The corrosion is induced by a fouling layer, where the [...] Read more.
Improving the efficiency of coal-fired boiler is beneficial for greenhouse gas control, mainly for carbon dioxide (CO2). The low-temperature corrosion covering heating surfaces is a frequent threat for coal-fired thermal equipment. The corrosion is induced by a fouling layer, where the ash deposition and condensed acid in coal-fired flue gas react mutually. The corrosion experiments were designed to investigate the reactions of representative acid solution between basic oxides, non-basic oxides, and fly ash particles covering metal surfaces. Scanning electron microscope (SEM) equipped with energy-dispersive X-ray spectroscopy (EDS), X-ray fluorescence (XRF) and X-ray diffraction (XRD) were used to analyze the reaction particles and metal samples collected from experiments. The corrosion rates of 316L steel, 20# steel, Corten steel and ND (09CrCuSb) steel by the sulfuric solution of different concentrations with and without particles were obtained. The results showed that corrosion rate could be reduced by reacted particles, followed as: basic oxides particles > fly ash particles > non-basic oxides particles. Meanwhile, the deposited ash particles with smaller sizes contribute to a deeper acid–ash reactions due to more alkaline oxides accumulated. Thus, the metal surfaces will be covered by denser attachments, playing a function of corrosion resistance. The effect of fouling layer on low-temperature corrosion was obtained, guiding a safe and efficient operation of heat equipment in coal-fired flue gas. Full article
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