Article
Energy & Fuels
Ben Ge, Panpan Zhang, Zeyang Wang, Junjie Zhou, Zhaowen Wang, Yi Guo, Zhibin Yang
Summary: By doping Nb and Sr in LaFeO3, the performance of the fuel electrode in Solid Oxide Electrolysis Cell (SOEC) is improved. LSFN exhibits excellent stability and high performance as a fuel electrode, achieving high current density at different compositions and temperatures. LSFN is a highly efficient and stable fuel electrode for SOEC applications.
Article
Chemistry, Physical
Masashi Kishimoto, Yuya Tanimura, Haewon Seo, Hiroshi Iwai, Hideo Yoshida
Summary: This study investigates the electrochemical performance of solid oxide cells (SOCs) under fuel cell and electrolyzer operations. It is found that the asymmetry between the two operation modes is mainly due to the behavior of the hydrogen electrode. The activation and concentration overpotentials show asymmetric behavior at high current densities. The non-identical charge-transfer coefficients in the Butler-Volmer equation and the non-uniform gas concentration formed in the hydrogen electrode contribute to the asymmetry in the activation overpotential, while the non-equimolar counter diffusion of hydrogen and steam caused by Knudsen diffusion is associated with the asymmetry in the concentration overpotential.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Chemistry, Physical
Zhufeng Ouyang, Yosuke Komatsu, Anna Sciazko, Junya Onishi, Katsuhiko Nishimura, Naoki Shikazono
Summary: The microstructure instability of nickel-stabilized zirconia fuel electrode in solid oxide fuel cells (SOFCs) and solid oxide electrolysis cells (SOECs) is a challenge for commercialization. In this study, operando observations were conducted to study the mobility of nickel on the YSZ surface under different operation modes. The results showed that nickel phase dynamically spreads and splits up only under the SOFC mode, while this phenomenon is not observed under the SOEC mode. Nickel coarsening occurs regardless of the operation mode.
JOURNAL OF POWER SOURCES
(2022)
Article
Chemistry, Multidisciplinary
Xiaoxin Zhang, Bo Liu, Yanling Yang, Jianhui Li, Jian Li, Yingru Zhao, Lichao Jia, Yifei Sun
Summary: Considering the future reliance on intermittent renewable energy, solid oxide electrolysis cell (SOEC) is crucial for efficient energy conversion and storage. The development of better materials and more energy-efficient operation methods for SOEC is still being pursued. This review article focuses on recent advancements in electrolyte, cathode, anode, and buffer layer materials for steam and CO2 electrolysis at the cell level. It also discusses the use of other fuels to reduce energy consumption and increase electrolyzer productivity at the stack level. Challenges and future research directions in SOECs are included.
CHINESE CHEMICAL LETTERS
(2023)
Article
Thermodynamics
Tuananh Bui, Dongkeun Lee, Kook Young Ahn, Young Sang Kim
Summary: This study conducted an economic analysis for high-power solid oxide electrolysis cell systems, showing that a high-power system is superior to a low-power system from an economic perspective. The stack cost is the dominant component of the capital cost, while the electricity cost contributes the most to the hydrogen cost. The first case study found that, if a high-power system can be installed inside a nuclear power plant, the cost of hydrogen produced can reach $3.65/kg when the electricity cost is $3.28/kWh and the stack cost is assumed to be $574/kW. The second case study indicated that the hydrogen cost can decrease by 24% if the system is scaled up to a 2-MW scale.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Chemistry, Physical
Ting Chen, Guozhu Zheng, Kui Liu, Guangjun Zhang, Zuzhi Huang, Minquan Liu, Juan Zhou, Shaorong Wang
Summary: This study fabricates a (La0.8Sr0.2)0.95MnO3-$ (LSM) supported reversible solid oxide cell (RSOC) with the configuration of La0.6Sr0.4Fe0.9Sc0.1O3-$ (LSFSc)-YSZ/YSZ/CuNi-CeO2-YSZ, utilizing tape casting, cosintering, and impregnation technologies. The RSOC shows significant power density and electrolysis performance, attributed to the optimized electrodes with increased triple phase boundary (TPB) area and faster gas diffusion and electrochemical reactions for water splitting.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Chemistry, Physical
Xiufu Sun, Yuliang Liu, Peter Vang Hendriksen, Ming Chen
Summary: The study tested three cells under different conditions to mimic gas flow series or parallel arrangements, finding that a gas-flow series arrangement led to reduced cell degradation by reducing the overall cell voltage degradation rate. This was attributed to the milder conditions and reduced polarization in the gas flow series case compared to the parallel flow case.
JOURNAL OF POWER SOURCES
(2021)
Editorial Material
Electrochemistry
Robert D. Green, S. Elango Elangovan, Fanglin Chen
Summary: In order to achieve long-term manned space exploration, critical needs for life support, such as oxygen and water, as well as electrical power for on-board operation, and the generation of propellants for ascent vehicles are essential. Low temperature electrochemical devices have been developed and used for on-board oxygen and power generation in previous manned space programs. High temperature solid oxide cell technology has unique advantages for future space missions. This perspective highlights the recent advances in solid oxide cell technology that make it feasible for adoption in aerospace applications and outlines the projected needs for future research and development to better support space exploration.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2022)
Article
Energy & Fuels
Zhengpeng Chen, Jiajia Wang, Mingfei Li, Jiangbo Dong, Renci Xu, Jinsong Cheng, Kai Xiong, Mumin Rao, Chuangting Chen, Chenjin Shen, Xiaowei Li, Yihan Ling
Summary: The development of CO2 electrolysis using symmetric solid oxide electrolytic cells requires the identification of electrode materials with high catalytic activity and stability. In this study, a high entropy perovskite electrode material LPSSCFN was designed and synthesized, which exhibited higher stability and chemical compatibility in the CO2 atmosphere compared to SSFN. Symmetric cells with LPSSCFN-GDC electrode showed higher electrolytic current density and excellent long-term stability compared to those with SSFN-GDC electrode.
Article
Chemistry, Physical
Zefeng Heng, Yanhong Wan, Changrong Xia
Summary: This study demonstrates that the introduction of Ca element into La0.6Sr0.4Fe0.8Mn0.2O3-delta perovskite can stabilize its structure, improve thermal expansion compatibility with the electrolyte, increase oxygen vacancy concentration and content of adsorbed oxygen species. It also enhances the electrochemical performance as a fuel electrode, reducing interfacial polarization resistance, increasing peak power density, and showing high current density.
JOURNAL OF POWER SOURCES
(2022)
Article
Chemistry, Physical
Yoonseok Choi, Segi Byun, Doo Won Seo, Hyo Jung Hwang, Tae Woo Kim, Sun-Dong Kim
Summary: A new type of solid oxide cell stack using fuel-electrode-supported flat-tubular cells has been developed for reversible fuel cell/electrolysis cell operation at high temperature. The stack shows high power generation and hydrogen production performance.
JOURNAL OF POWER SOURCES
(2022)
Article
Energy & Fuels
Yumeng Zhang, Zhuo Wang, Zhiyu Du, Yue Li, Meng Qian, Jan Van Herle, Ligang Wang
Summary: This paper proposes an innovative method that integrates concentrated solar heat with solid oxide electrolysis for cost-competitive hydrogen production. By optimizing heat cascade utilization and considering cost reduction of essential components, the cost of hydrogen production can be significantly reduced from 4.6 Euro/kg to 1.7 Euro/kg in 2030, achieving cost-competitiveness with hydrogen produced by traditional non-renewable energy sources.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Chemistry, Physical
Santiago Jimenez-Villegas, Paul Addo, Haris Masood Ansari, Simon Trudel, Jesus Prado-Gonjal, Beatriz Molero-Sanchez
Summary: Three lanthanum-based perovskite compositions, LNFCu, LNFCr, and LNCCu, were investigated as air electrode contact paste materials in reversible solid oxide fuel cells. These materials showed good compatibility with the interconnect and electrode, matched well with the thermal expansion coefficient of the cell components, and exhibited low area specific resistance. LNFCr was identified as the best candidate based on its comparable polarization resistance with gold.
JOURNAL OF ALLOYS AND COMPOUNDS
(2023)
Article
Thermodynamics
Xiaojun Xue, Di Lu, Yifan Liu, Heng Chen, Peiyuan Pan, Gang Xu, Zunkai Zhou, Yuehong Dong
Summary: In this paper, a novel compressed air energy storage system integrated with a water electrolysis system and an H2-fueled solid oxide fuel cell-gas turbine-steam turbine combined cycle system is proposed. The system stores electricity during the charging process and generates electricity during the discharging process, achieving zero carbon emissions. The waste heat from the system is recycled to improve energy efficiency.
Article
Thermodynamics
Yu Han, Meiting Guo, Anwei Sun, Hongwei Liu, Gang Xiao, Yi Sun, Meng Ni, Haoran Xu
Summary: The use of metal foam can significantly enhance the heat transfer process and achieve an even temperature distribution in the CA-SOEC, thus reducing thermal stress. The results provide useful information for the structure optimization of solid oxide cells using carbon fuels.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Energy & Fuels
Xi Fei, Ruan Xuejun, Navid Razmjooy
Summary: A new optimal configuration of the solar chimney is designed to generate both electricity and heat simultaneously, with backup energy supplied at night using solid oxide electrolysis cells and solid oxide fuel cells. The fluid search optimization algorithm is used to generate an optimal economic system, yielding good results.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2023)
Article
Energy & Fuels
Nadja Lakovic, Afrasyab Khan, Biljana Petkovic, Dalibor Petkovic, Boris Kuzman, Sead Resic, Kittisak Jermsittiparsert, Sikander Azam
Summary: In this study, a soft computing model ANFIS was used to predict the higher heating value of biomass. The analysis showed that the ash percentage weight had the highest relevance to the biomass's higher heating value.
BIOMASS CONVERSION AND BIOREFINERY
(2023)
Article
Energy & Fuels
Momir Milic, Biljana Petkovic, Abdellatif Selmi, Dalibor Petkovic, Kittisak Jermsittiparsert, Aleksandar Radivojevic, Milos Milovancevic, Afrasyab Khan, Sladana T. Vidosavljevic, Nebojsa Denic, Boris Kuzman
Summary: This study optimized the predictors for fatty acid methyl ester yield and exergy efficiency in situ transesterification process. The results showed that the optimal combination for fatty acid methyl ester yield was ultrasonic power and reaction time, while the optimal combination for exergy efficiency was concentrations of methanol and chloroform in oil. These optimized predictors effectively improved the fatty acid methyl ester yield and exergy efficiency.
BIOMASS CONVERSION AND BIOREFINERY
(2023)
Article
Energy & Fuels
Pannee Suanpang, Pattanaphong Pothipassa, Kittisak Jermsittiparsert, Titiya Netwong
Summary: This article discusses the main cost issue of energy expenditures in two profitable industries in Thailand and proposes a solution using the KIO algorithm and smart energy nodes to support community-based tourism and durian cultivation by reducing energy and labor costs.
Article
Computer Science, Interdisciplinary Applications
Muhammad Basit Umair, Zeshan Iqbal, Muhammad Ahmad Faraz, Muhammad Attique Khan, Yu-Dong Zhang, Navid Razmjooy, Sefedine Kadry
Summary: This research proposes an intrusion detection system based on statistical methods and neural networks, using feature extraction and multilayer neural networks for network intrusion classification, with experimental results showing an accuracy of 99%.
Expression of Concern
Social Sciences, Interdisciplinary
Muhammad Haseeb, Tulus Suryanto, Nira Hariyatie Hartani, Kittisak Jermsittiparsert
SOCIAL INDICATORS RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Mehrdad Rezaie, Keyvan Karamnejadi Azar, Armin Kardan Sani, Ehsan Akbari, Noradin Ghadimi, Navid Razmjooy, Mojtaba Ghadamyari
Summary: This paper presents an optimal model of proton exchange membrane fuel cell (PEMFC) and uses a P SO-based Golden Jackal Optimization method to improve its efficiency and output power.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Engineering, Electrical & Electronic
Qi Ding, Navid Razmjooy
Summary: Skin cells grow in an orderly manner but DNA damage can lead to the development of cancer cells, particularly melanoma which is the most dangerous type of skin cancer. This paper presents a new hierarchical procedure for the diagnosis of melanoma using dermoscopy images. The method involves image preprocessing, segmentation, feature selection, and classification using a radial basis function-based classifier that has been optimized by a new horse herd optimization algorithm (HHOA). Experimental results on a melanoma dataset show that the proposed method achieves a precision of 95.46%, outperforming other techniques.
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
(2023)
Article
Green & Sustainable Science & Technology
A. A. I. N. Marhaeni, Kittisak Jermsittiparsert, Lucia Rita Sudarmo, Lucia Rita Indrawati, Andjar Prasetyo, Noviati Fuada, Arnis Rachmadhani, Tri Weda Raharjo, Heri Wahyudianto, Bekti Putri Harwijayanti, Jonni Sitorus, Mochammad Fahlevi, Mohammed Aljuaid
Summary: This study examines people's behavior in financial transactions and the practice of rural credit banks in promoting a green economy. The results indicate that using paper for savings transactions supports green economic initiatives. Additionally, the use of branchless banking demonstrates the penetration of financial literacy in the community.
Article
Green & Sustainable Science & Technology
Pannee Suanpang, Pitchaya Jamjuntr, Phuripoj Kaewyong, Chawalin Niamsorn, Kittisak Jermsittiparsert
Summary: This paper proposes an intelligent public-accessible charging station framework based on Spatio-Temporal Multi-Agent Reinforcement Learning (STMARL), considering long-term spatio-temporal parameters. The framework aims to reduce the overall charging wait time, average charging price, and charging failure rate for electric vehicles (EVs).
Retraction
Energy & Fuels
Nadja Lakovic, Afrasyab Khan, Biljana Petkovic, Dalibor Petkovic, Boris Kuzman, Sead Resic, Kittisak Jermsittiparsert, Sikander Azam
BIOMASS CONVERSION AND BIOREFINERY
(2023)
Review
Energy & Fuels
Navid Razmjooy
Summary: The main purpose of this study is to review the significance of various established works in the field of swarm-inspired optimization algorithms. Accurate parameter estimation is crucial for proper modeling of Proton Exchange Membrane Fuel Cells (PEMFCs). However, due to the complexity, non-linearity, and multivariate nature of PEMFC models, parameter estimation is quite challenging.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Engineering, Biomedical
Chaohua Yan, Navid Razmjooy
Summary: In this study, a computer-assisted kidney stone diagnosis system based on CT images is proposed. The method combines deep training and metaheuristics to provide a customized Deep Believe Network (DBN) for efficient and reliable diagnosis. The proposed method is validated using a standard benchmark and outperforms other state-of-the-art methods in terms of efficiency and accuracy. Its higher specificity indicates its advanced value in event-independent diagnosis.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Engineering, Biomedical
Qirui Huang, Huan Ding, Navid Razmjooy
Summary: Most cancers can be saved if diagnosed early and treated with medication. Oral cancer is no exception. Deep learning has been used to improve the accuracy of disease diagnosis. This paper introduces a new methodology that uses deep learning and a metaheuristic approach to accurately diagnose cancer.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Navid Razmjooy, Danial Bahmanyar, V. Rajinikanth, Gabriel Gomes de Oliveira
Summary: Lack of knowledge on proper energy usage has led to increased energy demand. In this study, an optimized home energy management scheme is proposed to reduce energy cost by implementing variable pricing and load shifting. Simulation results show the advantages of using this scheme in home energy management systems.
PROCEEDINGS OF THE 7TH BRAZILIAN TECHNOLOGY SYMPOSIUM (BTSYM 21): EMERGING TRENDS IN HUMAN SMART AND SUSTAINABLE FUTURE OF CITIES, VOL 1
(2023)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
