Article
Chemistry, Physical
Andres Sanz-Martinez, Paul Duran, Victor D. Mercader, Eva Frances, Jose Angel Pena, Javier Herguido
Summary: This study focused on the concept of 'biogas upgrading' to increase CH4 levels in sweetened biogas to those of synthetic natural gas. The behavior of three lab-made catalysts in a CO2 methanation reaction was tested, showing good catalytic performance and high CH4 selectivity. Addition of CH4 did not significantly alter the reaction mechanism, allowing for potential utilization of off-peak H-2 for maximizing CH4 yield.
Article
Chemistry, Multidisciplinary
P. Canu, M. Pagin
Summary: A thermodynamic analysis of CO2 methanation within biogas provides guidance for developing efficient catalysts and processes. The results show that operating temperature and pressure significantly affect the purity of the product and the leakage of hydrogen. Applying multiple stages and steam condensation can further improve purity and reduce leakage.
JOURNAL OF CO2 UTILIZATION
(2022)
Review
Biotechnology & Applied Microbiology
Tatsiana Antukh, Ingyu Lee, Sunghee Joo, Hyunook Kim
Summary: Biogas upgrading is a process to separate methane from carbon dioxide and impurities in order to increase its purity and combustion efficiency. Conventional technologies have issues, while hydrogenotrophs-based biological upgrading attracts attention due to its simplicity and technological potential.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Energy & Fuels
Sareena Mhadmhan, Chawalit Ngamcharussrivichai, Napida Hinchiranan, Prapan Kuchonthara, Yunchao Li, Shurong Wang, Prasert Reubroycharoen
Summary: This research proposed a sustainable method for upgrading biogas to biomethane by catalytic CO2 methanation, focusing on improving the performance of Ni-based catalysts. The Ni/CNT-SF catalyst showed superior catalytic performance compared to other catalysts, achieving high CO2 conversion and CH4 selectivity under optimum conditions. The addition of Mg into the Ni/CNT-SF catalyst enhanced metal-support interaction and increased basic sites, promoting CO2 activation and production of high-quality biomethane.
Article
Materials Science, Multidisciplinary
M. Safdar, M. Gonzalez-Castano, A. Penkova, M. A. Centeno, J. A. Odriozola, H. Arellano-Garcia
Summary: This study investigates the impact of Ni-supported YMn1-xAlxO3 catalysts on the CO2 methanation reaction. The results show the importance of the support nature and the improvement in redox behavior achieved through Al-incorporation.
APPLIED MATERIALS TODAY
(2022)
Review
Chemistry, Multidisciplinary
Anastasios I. Tsiotsias, Nikolaos D. Charisiou, Ioannis V. Yentekakis, Maria A. Goula
Summary: CO2 methanation is a process aimed at reducing anthropogenic CO2 emissions by converting CO2 captured from sources into CH4 using catalysts, and the choice and design of catalysts play a crucial role in catalytic efficiency.
Article
Chemistry, Physical
Parisa Shafiee, Seyed Mehdi Alavi, Mehran Rezaei, Farzad Jokar
Summary: Fe, Mn, La, Ce, and Ba-promoted 15 wt%Ni-12.5 wt%Co-Al2O3 catalysts show improved catalytic performance in CO2 methanation reaction, with the Fe-promoted catalyst exhibiting the highest catalytic activity. The study also evaluated the effect of calcination temperature, feed composition, and gas hourly space velocity (GHSV) on the catalyst performance, confirming the Fe-promoted catalyst's superior performance.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Energy & Fuels
Run-Ping Ye, Lin Liao, Tomas Ramirez Reina, Jiaxu Liu, Durgaiah Chevella, Yonggang Jin, Maohong Fan, Jian Liu
Summary: The study introduces an improved sol-gel method for loading Ni-MOF onto a silica support to create a Ni/SiO2 catalyst. The catalyst demonstrates excellent catalytic performance under low temperature and high GHSV conditions, with high CO2 conversion and CH4 selectivity. This work provides a groundbreaking strategy for loading MOF derived catalysts and may offer insights for preparing highly dispersed Ni/SiO2 catalysts.
Article
Chemistry, Physical
Luciano Atzori, M. Giorgia Cutrufello, Daniela Meloni, Fausto Secci, Carla Cannas, Elisabetta Rombi
Summary: The catalytic performance of NiO-CeO2 nanostructured mixed oxides with different Ni/Ce molar ratios in the direct CO2 methanation of a model biogas was investigated. The samples were characterized and it was found that they consisted of CeO2 nanocrystals and NiO particles. After H2 treatment, the surface properties and metal surface area were assessed. The investigated catalysts showed high CO2 conversions and methane selectivities, indicating good performance.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Chemistry, Physical
Paola Riani, Ioannis Valsamakis, Tullio Cavattoni, Vicente Sanchez Escribano, Guido Busca, Gabriella Garbarino
Summary: Ni-based catalysts with enhanced thermal stability and catalytic performance for CO2 methanation have been synthesized, and it was found that La2O3 plays a promoting role in the reaction.
APPLIED CATALYSIS B-ENVIRONMENTAL
(2021)
Article
Chemistry, Physical
Dennis Weber, Katja M. Wadlinger, Maximilian M. Heinlein, Tanja Franken
Summary: In CO2 methanation, modifying spinel phases with manganese improves reducibility and methane yield, making them promising catalyst precursors.
Article
Energy & Fuels
Yufang Bian, Chunying Xu, Xueying Wen, Leilei Xu, Yan Cui, Shuhan Wang, Cai-e Wu, Jian Qiu, Ge Cheng, Mindong Chen
Summary: A series of CeO2 supports with various morphologies were successfully fabricated and utilized as the supports of Ni-based CO2 methanation catalysts. The catalyst supported on CeO2 nanoparticles exhibited higher catalytic activity and better stability. By precisely designing the morphology of the CeO2 support, the catalytic performance of the Ni/CeO2 catalysts could be optimized.
Article
Chemistry, Physical
Dongyang Zhang, Jianbo Zhang, Run Li, Huiyong Chen, Qingqing Hao, Yonghui Bai, Jianxuan Shang, Lei Zhang, Xiaoxun Ma
Summary: This study investigates the effects of thermal treatment temperature and nickel nitrate impregnation concentration on the CO2 methanation reaction using commercially available coal char supported nickel catalysts.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Chemistry, Applied
Sergei Chernyak, Vyacheslav Rodin, Roman Novotortsev, Igor Kaplin, Konstantin Maslakov, Serguei Savilov
Summary: CO2 utilization is a crucial challenge in combating global warming. This study focuses on the conversion of CO2 to methane using Ni-based catalysts supported on rice husk. The purity of the support plays a crucial role in determining the catalyst's structure, activity, and selectivity.
Article
Chemistry, Physical
Feng He, Jiahao Zhuang, Bin Lu, Xianglin Liu, Jianling Zhang, Fangna Gu, Minghui Zhu, Jing Xu, Ziyi Zhong, Guangwen Xu, Fabing Su
Summary: The novel Ni-Zr-Al catalysts show superior low-temperature activity in CO2 methanation compared to Ni-Al catalysts and commercial Ni-based catalyst, due to the synergetic effects between Ni and ZrO2 resulting in more surface oxygen vacancies, basic sites, and abundant mesopores. In-situ DRIFTS analysis confirmed the CO2 methanation follows the intermediate formate route, providing a new theoretical understanding for CO2 activation and methanation.
APPLIED CATALYSIS B-ENVIRONMENTAL
(2021)
Review
Energy & Fuels
Huong Lan Huynh, Zhixin Yu
Article
Chemistry, Physical
Song Lu, Fengliu Lou, Zhixin Yu
Summary: Electrocatalytic CO2 reduction (ECR) is an attractive approach to convert atmospheric CO2 to value-added chemicals and fuels, but faces challenges due to sluggish kinetics and lack of efficient electrocatalysts. 2D materials show great potential in improving ECR efficiency and new strategies are needed for their design and synthesis to overcome current limitations.
Article
Engineering, Chemical
Song Lu, Yang Zhang, Mohamed F. Mady, Wakshum Mekonnen Tucho, Fengliu Lou, Zhixin Yu
Summary: In this study, the application of silver-loaded boron-doped g-C3N4 nanocomposite (Ag-B-g-C3N4) in electrochemical CO2 reduction was investigated through theoretical simulation and experimental work. The results showed that Ag-B-g-C3N4 catalyst exhibited high current density and CO Faradaic efficiency, along with excellent stability. The study revealed the mechanism of g-C3N4 nanocomposite in electrocatalytic reactions.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2022)
Article
Chemistry, Multidisciplinary
Song Lu, Yang Zhang, Mohamed F. Mady, Obinna Egwu Eleri, Wakshum Mekonnen Tucho, Michal Mazur, Ang Li, Fengliu Lou, Minfen Gu, Zhixin Yu
Summary: In this research, a sulfur-doped Ni-N-C catalyst was successfully synthesized through a facile ion-adsorption and pyrolysis treatment. This catalyst showed higher activity and selectivity in electrochemical CO2 reduction (ECR) to CO, along with excellent stability. The synergetic effect between sulfur and Ni-N-X moieties was identified as the key factor contributing to the high activity and selectivity.
Article
Chemistry, Multidisciplinary
Kun Guo, Litao Chang, Ning Li, Lipiao Bao, Samir de Moraes Shubeita, Aliaksandr Baidak, Zhixin Yu, Xing Lu
Summary: This study reveals the effect of carbon shell thickness on the catalytic properties by carbonizing oleylamine ligands covering MoS2. The calcined MoS2 catalysts exhibit a volcano-like activity trend towards acidic hydrogen evolution reaction depending on the calcination temperature.
Article
Energy & Fuels
Yang Zhang, Song Lu, Fengliu Lou, Zhixin Yu
Summary: The solvent-free graphite anode fabricated with the synergistic effect of PTFE and PVDF shows good stability and high capacity retention in lithium-ion batteries.
Article
Chemistry, Multidisciplinary
Kun Guo, Zhimin He, Song Lu, Pengjun Zhang, Ning Li, Lipiao Bao, Zhixin Yu, Li Song, Xing Lu
Summary: In this study, a novel strategy for the facile construction of carbon nano-onions (CNOs) nanoparticles with ultrafine sizes was presented using C-60 fullerene molecules as the sacrificial seeds and melamine as the main feedstock. The CNOs obtained exhibited superior oxygen reduction half-wave potential and zinc-air cathode performance due to the integration of multiple favorable structural features.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Article
Electrochemistry
Frederik T. Huld, Jan Petter Maehlen, Caroline Keller, Samson Y. Lai, Obinna E. Eleri, Alexey Y. Koposov, Zhixin Yu, Fengliu Lou
Summary: This study presents a method for extracting empirical information from galvanostatic charge-discharge (GCD) data for silicon, which allows for the analysis of the delithiation step. The method accurately determines the best fit to historical data, distinguishes the capacity contributions from different phases, and detects small differences in phase behavior among samples. Additionally, it can predict the amount of remaining lithium in the electrode, making it a useful technique for quickly determining voltage slippage and related phenomena.
Article
Chemistry, Multidisciplinary
Ning Li, Kun Guo, Mengyang Li, Xiudi Shao, Zhiling Du, Lipiao Bao, Zhixin Yu, Xing Lu
Summary: This study reveals the crucial impact of spatial proximity on fullerene restructuring and electrocatalytic properties, providing important guidance for constructing defect-rich carbon electrocatalysts. By adopting a hard-template strategy and confining the fullerene restructuring in SiO2 nanovoids, the formation of carbon bonds and the enhancement of electrocatalytic performance can be controlled. The optimized catalyst exhibits excellent performance in alkaline oxygen reduction reaction and authenticates intrinsic defects as the active sites.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2023)
Article
Electrochemistry
Frederik T. Huld, Obinna E. Eleri, Fengliu Lou, Zhixin Yu
Summary: In this study, an empirical fitting function is used to analyze the performance of commercial Si half-cells. The fitting procedure is capable of detecting dynamic changes in the cell, such as reversible capacity fade of the Si electrode. It is found that this fading is due to the presence of the highly lithiated Li2Si(sic)Li3.5Si phase and its behavior is strongly dependent on the potential of this phase. SEM/EDX and XPS characterization are also employed to determine the origin of the irreversible resistance growth on the Si electrodes.
Article
Chemistry, Physical
Obinna Egwu Eleri, Julie Pires, Frederik Thorbjorn Huld, Song Lu, Philipp Schweigart, Ann Mari Svensson, Fengliu Lou, Zhixin Yu
Summary: Interactions between electrolyte constituents and active materials strongly affect the performance of energy storage devices. This study demonstrates the influence of electrolyte dielectric on electrochemical stability using AC lithium-ion capacitors and symmetric AC/AC cells. Increasing the dielectric constant of the electrolyte improves stability and reduces degradation of the active material, while a lower dielectric constant leads to faster capacity fade due to increased deposits of degradation products.
SUSTAINABLE ENERGY & FUELS
(2023)
Article
Chemistry, Multidisciplinary
Song Lu, Michal Mazur, Kun Guo, Dragos Constantin Stoian, Minfen Gu, Wakshum Mekonnen Tucho, Zhixin Yu
Summary: This study successfully breaks the scaling relationship between the adsorption strength of intermediates by synthesizing Mn and Ni single-atom catalysts, homonuclear and heteronuclear dual-atom catalysts. This leads to an improved efficiency in CO conversion.
Article
Electrochemistry
Yang Zhang, Frederik Huld, Song Lu, Camilla Jektvik, Fengliu Lou, Zhixin Yu
Summary: Solvent-free hard carbon and soft carbon anodes exhibit good cycle life and stability due to their low-volume expansion.
Article
Chemistry, Multidisciplinary
Song Lu, Huong Lan Huynh, Fengliu Lou, Kun Guo, Zhixin Yu
Summary: Transition metal atoms anchored on antimonene with a single Sb vacancy as single-atom catalysts show excellent stability and good electrical conductivity for hydrogen evolution, oxygen evolution, and oxygen reduction reactions. Ir@ and Pt@Sb monolayers exhibit excellent HER performance, while Pt@Sb monolayer is the best OER electrocatalyst and Ag@Sb monolayer is the best ORR electrocatalyst.
Review
Chemistry, Physical
Kun Guo, Aliaksandr Baidak, Zhixin Yu
JOURNAL OF MATERIALS CHEMISTRY A
(2020)
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.