Review
Energy & Fuels
Shadrack Adjei Takyi, Yindi Zhang, Mengting Si, Fanjin Zeng, Yingnan Li, Paitoon Tontiwachwuthikul
Summary: Although coal mining has played a significant role in global development, its environmental impact offsets its value. The shift to net-zero CO2 emissions presents opportunities for new coal technological models. This paper reviews the current status and technology development of underground coal gasification for low carbon emission energy, discussing its modern stage, pilot operations, and market developments.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Engineering, Marine
Zeqing Guo, Yue Zhao, Xingyu Zhang, Xujian Lyu
Summary: The water exit of a high-speed cavitation vehicle is a complex problem. A CFD method based on VOF multiphase flow and overset mesh technique is used to analyze the interaction of multiphase flow during the oblique water exit of a high-speed cylinder. The effects of water-exit angles on the pressure distribution and drag characteristics are studied. With decreasing water-exit angles, the negative peak drag coefficient decreases while the lateral force coefficient increases, showing a critical range of water-exit angles for lateral force and pitch angle variation.
Article
Thermodynamics
Fa-qiang Su, Xiao-long He, Meng-jia Dai, Jun-nan Yang, Akihiro Hamanaka, Yi-he Yu, Wen Li, Jiao-yuan Li
Summary: This study analyzed the impact of oxygen flow rate on the cavity of the gasification zone through two experiments and used three estimation methods to estimate the cavity volume. The results showed that the stoichiometric method had the smallest estimation error, less than 6.5%. The Delaunay triangulation approach reduced the estimation error for convex cavities to within 10%. The voxelization method reduced the overall estimation error to below 8% and accurately described the cavity shape.
Article
Engineering, Aerospace
Hadar Ben-Gida
Summary: This study uses simulations to analyze the flow characteristics within a cavity and the aerodynamic loads exerted on a store model in weapons bays. The results reveal a complex interaction between the store model and the flow field within the cavity.
Article
Geochemistry & Geophysics
Zhaolin Li, Lianguo Wang, Bo Ren, Ke Ding
Summary: Based on thermodynamic and elastodynamic theories, the controlling equation for the temperature-stress coupling action on rocks containing random damage units is established using the Mogi-Coulomb damage criterion. A numerical calculation model for the expansion of a combustion cavity under temperature-stress coupling conditions is developed using the ABAQUS secondary development program. The study investigates the evolution of the fracture field during the expansion of the gasification cavity under two conditions and identifies important factors for practical engineering.
Article
Thermodynamics
Milad Yousefi Roshan, Jahanfar Khaleghinia, Majid Eshagh Nimvari, Hesamoddin Salarian
Summary: The study aimed to design an advanced Darrieus wind turbine capable of self-starting at low wind speeds without extra components, and simplified the research on factors influencing the enhancement of power and torque coefficients.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Chemistry, Multidisciplinary
Justas Sereika, Paulius Vilkinis, Nerijus Pedisius
Summary: This study investigated the flow topology of cavities with different rounded corners and found that fully rounded upper corners reduce pressure loss and increase flow velocity compared to other cases. However, fully rounded cavity bottom corners negatively impact flow stability by increasing turbulence intensity.
APPLIED SCIENCES-BASEL
(2022)
Article
Construction & Building Technology
Barilelo Nghana, Fitsum Tariku, Girma Bitsuamlak
Summary: The impact of ventilation cavity design on the energy performance of rainscreen wall assembly was investigated numerically in CFD, considering various parameters such as cladding material type, sheathing membrane emissivity coefficient, ventilated cavity height, and air gap width. The CFD model was validated with experimental data and simulations were performed for both hot and cold days. Different design alternatives were compared based on heat flux through the wall assembly, showing that certain ventilated cavity constructs can minimize heat loss on cold days and heat gain on hot days.
BUILDING AND ENVIRONMENT
(2021)
Article
Engineering, Civil
Ahmed A. Ibrahim, Ahmed M. R. Elbaz, Pier Francesco Melani, Omar S. Mohamed, Alessandro Bianchini
Summary: This study evaluates an active boundary layer control technique to increase the aerodynamic efficiency of Darrieus VAWTs. The results show that the turbine with suction cavity airfoils has a higher power coefficient, especially at low tip-speed ratios. The feasibility of the active control technique is discussed, demonstrating its potential as an effective solution for the performance augmentation of the Darrieus turbine.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2022)
Article
Thermodynamics
Fernando Claudio Spengler, Rejane De Cesaro Oliveski, Gabriel Eduardo Strohm
Summary: This study analyzes the effect of innovative fin geometry on the melting process of phase change materials in an energy storage system. The results show that the use of fins can significantly enhance the melting rate, and adjusting the proportions and positioning of the fin branches can further optimize the melting process.
Article
Thermodynamics
Ri Na, Zhigang Shen
Summary: This study introduces a novel and low-cost exterior wall retrofitting solution and quantitatively evaluates its performance in reducing cooling load. The research suggests that this simple low-cost solution has great potentials in reducing buildings' summer cooling load in hot climate regions, suitable for retrofitting existing buildings and new energy-efficient building designs.
BUILDING SIMULATION
(2021)
Article
Chemistry, Physical
Krzysztof Kapusta, Marian Wiatowski, Hywel R. Thomas, Renato Zagorscak, Sivachidambaram Sadasivam, Shakil Masum, Thomas Kempka, Christopher Otto, Wioleta Basa, Marcin Szyja, Krzysztof Stanczyk
Summary: This paper presents a series of surface experimental simulations of methane-oriented underground coal gasification using hydrogen as gasification medium. The experiments demonstrated that the physicochemical properties of coal considerably affect the hydrogasification process and the feasibility of methane-rich gas production was initially demonstrated. However, further techno-economic studies are necessary to assess the economic feasibility of methane production using this process.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Thermodynamics
Yang Zhang, Haitao Lin, Rishabh Chaturvedi, Pradeep Kumar Singh, Ibrahim B. Mansir, KePing Zhang, Javid Alhoee
Summary: Using natural phenomena like free convection and modern nanostructures called NEPCM can improve heat transfer in lid-driven problems. This study simulated mixed convection of ethylene glycol and NEPCM in a lid-driven cavity with a rotating cylinder to assess the influence of Grashof number, cylinder speed, and NEPCM concentration on heat transfer characteristics. The results showed that a 6% concentration of NEPCM increased the mean Nusselt number by 41.7%, while the cylinder speed increased it by 38.7%. Additionally, an optimum concentration of 4% was observed for a Grashof number of 104.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Engineering, Civil
Zhang Xing-yu, Lyu Xu-jian, Fan Xu-dong
Summary: Using Computational Fluid Dynamics (CFD) method to numerically calculate the vapor-liquid-gas flow during the water exit of a high-speed cylinder, it was found that cavity collapse during water exit causes strong pressure fluctuation on the cylinder, and the effects of different initial velocities on pressure distribution and drag characteristics were investigated.
CHINA OCEAN ENGINEERING
(2022)
Article
Mechanics
Jian Li, Chao Qin, Jie Wang, Gang Wang
Summary: The computational fluid dynamics (CFD) method is used to study the process parameters and internal flow states of reactor chambers based on metal-organic chemical vapor deposition (MOCVD). Neural network (NN) models based on a 3D MOCVD reactor are proposed to predict cavity stability and control process parameters. These models have high accuracy, reduce the workload of CFD numerical simulation, and are significant for MOCVD equipment design and process debugging.
Article
Chemistry, Inorganic & Nuclear
A. Ganesh, T. Sivakumar, P. Venkateswari, G. Sankar, R. Venkatesh
Summary: This study focuses on the fabrication of sweet potato-derived carbon framework with nanosheet form of Co3O4 nanoparticles using the low-temperature solution grown technique. The results showed that the nanoparticles were uniformly distributed on the surface of sweet potato derived carbon frame work (SPCF). The SPCF derived Co3O4 electrodes exhibited enhanced capacitance and good cycling stability.
JOURNAL OF CLUSTER SCIENCE
(2023)
Article
Neuroimaging
Fouzi Bala, Benjamin Beland, Eva Mistry, Mohammed A. Almekhlafi, Mayank Goyal, Aravind Ganesh
Summary: Observational studies suggest that EVT is more effective in achieving return to baseline mRS compared to medical management or patients without pre-morbid disability, although at the cost of higher mortality. These findings argue against routine exclusion of patients with pre-morbid disability from EVT and warrant validation through randomized trials.
JOURNAL OF NEUROINTERVENTIONAL SURGERY
(2023)
Article
Neuroimaging
Faysal Benali, Manon Kappelhof, Johanna Ospel, Aravind Ganesh, Rosalie McDonough, Alida A. Postma, Robert-Jan Berend Goldhoorn, Charles B. L. M. Majoie, Ido van den Wijngaard, Hester F. Lingsma, Jan Albert Vos, Robert J. van Oostenbrugge, Wim H. van Zwam, Mayank Goyal
Summary: This study investigated the safety and benefit of endovascular treatment (EVT) in pre-stroke patients with modified Rankin Scale score (mRS) 3. The findings showed that patients with successful reperfusion after EVT had improved outcomes, with higher rates of returning to baseline functional state or improvement and lower mortality rates.
JOURNAL OF NEUROINTERVENTIONAL SURGERY
(2023)
Article
Clinical Neurology
Johanna Maria Ospel, Rosalie McDonough, Aravind Ganesh, Arshia Sehgal, Manon Kappelhof, Nima Kashani, Karin Klijn, Michael Hill, Jeffrey Saver, Mayank Goyal
Summary: The lack of funding in neurovascular research is a major problem, with high competitiveness, time-consuming funding processes, and excessive administrative requirements being the key obstacles to obtaining funding. Traditional funding agencies are perceived to be the most capable of closing the funding gap.
INTERVENTIONAL NEURORADIOLOGY
(2023)
Article
Mathematics, Interdisciplinary Applications
Conor J. Newton, Ayalvadi Ganesh, Henry W. J. Reeve
Summary: This paper discusses a multi-armed bandit problem involving multiple agents collaborating together. It presents a decentralised algorithm to minimize the regret of each agent in a communication-constrained setting. The theoretical analysis and empirical results show that the algorithm is asymptotically optimal.
DYNAMIC GAMES AND APPLICATIONS
(2023)
Article
Economics
Bhaskar Tripathi, Rakesh Kumar Sharma
Summary: This research proposes a reliable framework for Bitcoin price forecasting by reducing noise and examining different predictors. The deep artificial neural network model using technical indicators outperforms other benchmark models with high accuracy, achieving low absolute percentage errors for short-term price forecasts.
COMPUTATIONAL ECONOMICS
(2023)
Review
Neuroimaging
Johanna M. Ospel, Adam A. Dmytriw, Robert W. Regenhardt, Aman B. Patel, Joshua A. Hirsch, Martin Kurz, Mayank Goyal, Aravind Ganesh
Summary: Triage is an important process of resource allocation based on their best utilization, need, and potential success. In time-critical conditions like acute ischemic stroke, triage aims to minimize delays and consider factors like resource availability, workflows, and geography. Teamwork is the key factor in optimizing EVT triage, involving various healthcare professionals and requiring continuous efforts and hands-on training.
JOURNAL OF NEUROINTERVENTIONAL SURGERY
(2023)
Article
Computer Science, Information Systems
P. Mathivanan, A. Balaji Ganesh
Summary: This study proposes a steganography method using ECG signals as cover data for remote health monitoring. The watermarked data is transformed into QR codes to enhance security, and the selection of coefficient positions near zero helps minimize signal degradation. The imperceptibility of the watermarked ECG signals is evaluated using various performance metrics, while the quality of extracted watermarks is assessed using the Bit Error Rate. The results show good imperceptibility and identical reconstruction to the original ECG signals.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Anesthesiology
Evelyn Bae, Arjunan Ganesh, Alan W. Flake, Harshad G. Gurnaney
Summary: This study compares the differences in postoperative opioid use, ICU admission rate, and postoperative supplemental oxygen requirement between patients who undergo Kasai portoenterostomy with thoracic epidural analgesia and those without. The results show that patients who receive thoracic epidural analgesia have lower opioid use, lower ICU admission rate, and lower postoperative supplemental oxygen requirement.
PEDIATRIC ANESTHESIA
(2023)
Article
Clinical Neurology
Cera Cruise, Nicole Mfoafo M'Carthy, Aravind Ganesh, Bonnie Lashewicz
Summary: Despite the high proportion of stroke patients with pre-existing disabilities, they are often excluded from stroke treatment trials, leading to disparities in stroke care. Observational studies suggest that stroke therapies may be beneficial in selected patients with disabilities when success measures are framed more achievable. However, structural inequities within current stroke care systems for people with disabilities need to be addressed through an intersectional approach.
CANADIAN JOURNAL OF NEUROLOGICAL SCIENCES
(2023)
Article
Green & Sustainable Science & Technology
Monika Barak, Rakesh Kumar Sharma
Summary: This study investigates the impact of intellectual capital (I.C) on the sustainable financial performance (F.P) of private sector banks (PSBs) in India. The findings suggest that structural capital (SC) and relational capital (RC) have a significant relationship with return on capital employed (ROCE), while human capital (HC) and capital employed (CE) have a positive effect on return on equity (ROE). Overall, the components of intellectual capital contribute significantly to the efficiency and profitability of Indian private sector banks.
Article
Green & Sustainable Science & Technology
Amit Pandey, Ravi Kiran, Rakesh Kumar Sharma
Summary: This study empirically analyzes the determinants of financial inclusion in BRICS nations from 2004 to 2019, using the number of depositors and Automated Teller Machines (ATM) per user as indicators. The findings suggest that population and internet users have a positive and significant impact on financial inclusion. The analysis also shows that domestic credit to the finance sector, population, internet users, and bank branches positively influence the number of depositors in these economies. Gross domestic product (GDP) and domestic credit to the private sector (DCPS) have a negative impact on financial inclusion. The results for ATM per user indicate that the exchange rate of domestic credit to the private sector and GDP have a positive influence on financial inclusion. These findings will inform policymakers in their efforts to enhance financial inclusion in BRICS economies.
Article
Chemistry, Analytical
Bhaskar Tripathi, Rakesh Kumar Sharma
Summary: This study aims to determine the significant impact of limit orders and stop losses on the emotional state of traders. By using EEG data and deep learning algorithms, the researchers conducted two experiments and proposed a novel hybrid neural architecture. The results show that emotions associated with low valence and high arousal were more prevalent in the experiment using limit orders and stop loss, while emotions associated with high valence and high arousal were more prevalent in the experiment without these risk control measures. The findings demonstrate the efficacy of the study and aid in the risk-related decision-making abilities of day traders.
Article
Green & Sustainable Science & Technology
Savita Gupta, Ravi Kiran, Rakesh Kumar Sharma
Summary: This study aims to investigate the influence of Technology Interface drivers and Digital Payment drivers on the Behavioral Intention of online shoppers by embedding them as additional drivers in UTAUT2. The results show a positive and significant association between these drivers and Behavioral Intention, as well as a positive impact of Behavioral Intention on Sustained Intention.
Proceedings Paper
Computer Science, Artificial Intelligence
S. Sumathi, A. Balaji Ganesh
Summary: This paper introduces a method for encrypting and classifying personal information, using AES and chaotic logistic mapping for signal encryption, CNN for feature extraction, and SVM for data classification. Experimental results show that the proposed method achieves significantly better classification accuracy compared to traditional algorithms.
SOFT COMPUTING FOR SECURITY APPLICATIONS, ICSCS 2022
(2023)
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.
