Article
Engineering, Environmental
Sunghyun Cho, Jonghun Lim, Hyungtae Cho, Yunsung Yoo, Dongwoo Kang, Junghwan Kim
Summary: Desalination is an effective method for industrial water supply, but it generates a large amount of wastewater. This study proposes a novel process for recovering CO2 and SOx from desalination wastewater, which can capture and utilize about 91% of the CO2 and achieve a desulfurization efficiency of 99%. The process is profitable and suitable for large-capacity operations.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Engineering, Environmental
Yuan Zhu, Bingxin Li, Jie Miao, Shuzhuang Sun, Yuanyuan Wang, Xiaotong Zhao, Biqiong Chen, Chunfei Wu
Summary: This study proposes the integration of gasification with CO2 capture and utilization (IGCCU) for achieving zero CO2 emissions. By using CaO as an adsorbent and catalyst, valuable syngas can be produced during lignin gasification while capturing CO2 simultaneously. The captured CO2 can be effectively converted to CO by introducing H2 during the hydrogenation process. The results demonstrate that this approach enables zero CO2 emissions with excellent cyclic stability and CO2 conversion.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Engineering, Chemical
Jonghun Lim, Jehun An, Hyungtae Cho, Junghwan Kim
Summary: Many countries discharge desalination wastewater into the ocean, causing pollution, ecosystem destruction, and economic losses. This study developed a process to capture and utilize NOx, SOx, and CO2 from desalination wastewater using NH3. The proposed process demonstrated high economic feasibility, achieving significant reductions in total annualized costs.
Article
Engineering, Environmental
Yunlei Zhao, Youyou Li, Bo Jin, Zhiwu Liang
Summary: Chemical looping is a powerful process intensification strategy for integrated CO2 capture and utilization. In this study, a bifunctional Ca-Fe-Mg material derived from LDH was synthesized and used in chemical looping reforming process. The results showed that 900°C was the suitable reforming temperature, and the material exhibited high syngas production and stable H2/CO ratio.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Engineering, Chemical
Jianfei Sun, Xintong Li, Kunpeng Yu, Qinqin Xu, Jianzhong Yin
Summary: In this study, a scalable and modular combination of known technologies was developed to construct defect-free ionic liquid membranes for efficient CO2 capture and utilization. By supporting Bmim Cl on surface nanochannel ceramic tubes and fabricating high specific surface area membranes, thermocatalytic CO2 cycloaddition reaction was successfully achieved. Optimization of different feeding modes and evaluation of various test conditions were performed to determine the critical influencing factors.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2022)
Article
Chemistry, Multidisciplinary
Fumihiko Kosaka, Yanyong Liu, Shih-Yuan Chen, Takehisa Mochizuki, Hideyuki Takagi, Atsushi Urakawa, Koji Kuramoto
Summary: The study investigated the performance of Ni-based dual-functional catalysts promoted with Na, K, and Ca in capturing and reducing CO2 to CH4, achieving high CO2 conversion and CH4 selectivity. The catalyst showed potential for high CO2 utilization efficiency, even at low concentrations, and under varying conditions such as presence of O2 and atmospheric CO2 levels.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2021)
Article
Thermodynamics
Ning Yang, Fu Kang, Ke Zhang, Yunlong Zhou, Wen-Feng Lin
Summary: This study proposes an innovative strategy to address the problems of energy demand and limited hydrogen usage in conventional CO2 capture and utilization. Through a multicriteria assessment and an exergy analysis method, an efficient integrated process is established, which achieves high rates of CO2 capture, low rates of NH3 loss, and significant energy savings. After optimization, the total exergy loss is reduced by 14.8%.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Engineering, Environmental
Lei Xing, Kexin Wei, Yuchen Li, Zhimo Fang, Qiangwei Li, Tieyue Qi, Shanlong An, Shihan Zhang, Lidong Wang
Summary: This study presents a metal-organic framework (MOF)-derived hybrid solid acid catalyst with improved acidity for promoting amine regeneration. The TiO2 coating effectively prevents active components stripping from the catalyst surface, increasing CO2 desorption rate and reducing energy consumption. Proposed N-C bond rupture and proton transfer mechanisms contribute to the advancement of CO2 capture technology with lower energy duty.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2021)
Article
Energy & Fuels
Matteo Agliuzza, Alessio Mezza, Adriano Sacco
Summary: Electrochemical processes offer intriguing strategies for combating global warming and climate change by capturing and utilizing CO2. One advantage of electrochemical systems is their ability to be powered by renewable sources, such as solar energy. This review aims to collect and analyze the main works in the literature that study the coupling of electrochemical reactors for converting CO2 into carbon monoxide with either electrochemical capture systems or solar cells to power them. In addition to critically analyzing these articles, a brief discussion of future research directions in this field is proposed.
Article
Energy & Fuels
Fritz E. Vorisek, Yaying Ji, Maya H. Hillis, Julia Parker, Jesse Thompson, Kunlei Liu, Mark Crocker
Summary: Integrating CO2 scrubbing from flue gas with its utilization in algae cultivation is a cost-effective means of CO2 capture. This study assessed the feasibility of using gaseous CO2/NH3 stream derived from CO2 capture as a C- and N-source for algae cultivation. The results showed that Scenedesmus acutus had excellent growth using CO2/NH3, with a higher growth rate compared to conventional N-sources. A balanced supply of NH3 was necessary to avoid toxic effects, and the harvested biomass had high protein content and low ash content, making it suitable for animal feed and bioplastics production.
BIOENERGY RESEARCH
(2023)
Article
Engineering, Chemical
Zongze Lv, Changlei Qin, Shuzhen Chen, Dawid P. Hanak, Chunfei Wu
Summary: CO2 capture and utilization (CCU) is seen as a promising approach to reduce carbon emissions in the short to mid-term, but the instability of high-temperature CO2 sorption/desorption limits its potential. Therefore, developing a new sorbent/catalyst system is crucial for ensuring the high efficiency and long-term operation of CCU.
SEPARATION AND PURIFICATION TECHNOLOGY
(2021)
Review
Thermodynamics
L. Jiang, W. Liu, R. Q. Wang, A. Gonzalez-Diaz, M. F. Rojas-Michaga, S. Michailos, M. Pourkashanian, X. J. Zhang, C. Font-Palma
Summary: Direct air capture (DAC) is gaining momentum as a promising carbon capture technology due to its vast potential and flexibility in collecting CO2 from discrete sources. This paper comprehensively discusses the state-of-the-art of DAC and CO2 utilization, highlights unresolved technical challenges, and provides perspectives for commercial large-scale applications.
PROGRESS IN ENERGY AND COMBUSTION SCIENCE
(2023)
Article
Agricultural Engineering
Mohamad Padri, Nittaya Boontian, Neung Teaumroong, Pongdet Piromyou, Chatlada Piasai
Summary: This study shows that the co-culture of a microalga and bacterium can effectively treat wastewater and enhance biodiesel production.
BIORESOURCE TECHNOLOGY
(2022)
Article
Engineering, Chemical
Jonghun Lim, Chonghyo Joo, Jaewon Lee, Hyungtae Cho, Junghwan Kim
Summary: This study proposes a novel SMR process that utilizes desalination wastewater to reduce CO2 emissions and produce carbon-neutral hydrogen. The process model captures CO2 from the SMR process and uses mineral ions in desalination wastewater to carbonate the captured CO2. The economic feasibility of the proposed process is demonstrated through the assessment of the levelized cost of hydrogen.
Article
Engineering, Chemical
Jose Manuel Vadillo, Lucia Gomez-Coma, Aurora Garea, Angel Irabien
Summary: This study focuses on reducing carbon dioxide emissions through non-dispersive CO2 absorption technology, using ionic liquids as solvents and membrane vacuum regeneration as desorption step. Experimental comparison between different ionic liquids showed that the MVR technology based on [emim] [Ac] exhibited better performance in reducing energy consumption.
SEPARATION AND PURIFICATION TECHNOLOGY
(2022)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.