Article
Chemistry, Physical
Huan Liu, Shuqin Liu
Summary: This study compares energy consumption and greenhouse gas emissions between underground coal gasification (UCG)-based hydrogen production (UCG-H-2) and surface coal gasification (SCG)-based hydrogen production (SCG-H-2) using life cycle assessment. Results show UCG-H-2 has significant energy saving advantage, and 80% capture rate can achieve a balance between energy consumption and emissions. Scenario analysis suggests UCG substitution for hydrogen production can reduce energy consumption significantly.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(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)
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
Energy & Fuels
Wen-gang Huang, Zuo-tang Wang, Tian-hong Duan, Lin Xin
Summary: The pilot project integrating UCG with power generation in the abandoned mine Ankou aimed to optimize the gasification process, with industrial tests revealing that changes in oxygen concentration significantly affected syngas production. Increasing oxygen concentration led to higher H-2 content, combustible components, calorific value of syngas, and gasification efficiency after an initial drop. Additionally, oxygen-enriched gasification trials showed advantages in air consumption, coal consumption, and calorific value compared to oxygen-enriched steam gasification tests.
Article
Green & Sustainable Science & Technology
Wen-gang Huang, Shao-wei Zhang, Xin Lu, Shu-liang Wu, Jun Huang
Summary: This paper researched the distribution and characteristics of residual coal resources in China and its adaptability to underground coal gasification (UCG) technology. The study found that the average recovery rate of coal mines in China was low, with the majority of residual coal reserves occurring in North China at shallow burial depths. The primary coal type was bituminite. The study established a hierarchical evaluation model and applied it to industrial tests, showing that the model can provide a scientific reference for decision-making in UCG projects.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Geosciences, Multidisciplinary
Run Chen, Yunxia Bao, Fengrong Lv, Fu Chen, Kunpeng Hu, Yajun Zhang
Summary: Coal measure energy production and reservoir space utilization are crucial for energy security and carbon neutrality. This study focuses on the technical approaches of low-carbon mining and coal reservoir space utilization to ensure the security of coal supply. The study found that the integration of underground coal gasification and carbon capture and sequestration (UCG-CCS) is an effective technology to improve energy efficiency and achieve China's carbon neutral target.
FRONTIERS IN EARTH SCIENCE
(2023)
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
Mathematics
Afaq Ahmed, Syed Bilal Javed, Ali Arshad Uppal, Jamshed Iqbal
Summary: The Cavity Simulation Model (CAVSIM) is a 3D, parameterisable simulator of the Underground Coal Gasification Process (UCG) that serves as a benchmark for UCG prediction. It has limitations in graphical capabilities, parametrisation efficiency, and lack of tools to synthesise a controller. To compensate for these shortcomings, CAVSIM was integrated with MATLAB, resulting in successful integration and a controllable structure. The performance metrics further establish the efficacy of CAVLAB in designing MPC for the UCG system.
Article
Thermodynamics
Syed Bilal Javed, Ali Arshad Uppal, Raza Samar, Aamer Iqbal Bhatti
Summary: In this work, a model-based multi-variable robust control design using H-infinity technique is proposed for the underground coal gasification (UCG) process. The designed controller based on a linear model demonstrates robust stability and performance on an actual nonlinear cavity simulator, achieving adequate tracking of set points.
Article
Energy & Fuels
Jacek Nowak, Magdalena Kokowska-Pawlowska, Joanna Komorek, Marian Wiatowski, Krzysztof Kapusta, Zdzislaw Adamczyk
Summary: This study conducted coal gasification experiments under different pressures to analyze the changes in optical properties of the organic matter and determine the temperature influence on coal. The results showed that the reflectance and bireflectance of coal decreased with increasing distance from the reactor chamber inlet, and the temperature influence on coal decreased as well. Additionally, the actual temperatures during the experiment were higher than recorded temperatures, and the distance at which temperature had a significant impact depended on the pressure used.
Article
Engineering, Geological
Wen-gang Huang, Zuo-tang Wang
Summary: This study focuses on the mechanical performance evolution of coal pillars in the UCG process. A new calculation method for pillar sizing was proposed and experimentally validated, showing significant impact of high temperatures near the coal pillar surface and demonstrating the variation pattern of pillar width during UCG operation.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2021)
Article
Energy & Fuels
Krzysztof Kapusta
Summary: Two experimental simulations of underground coal gasification processes were conducted using large bulk samples of lignites, and the results showed that the physicochemical properties of the lignite used considerably affect the in situ gasification process. Lignites with lower moisture content and higher energy density demonstrated higher process efficiency compared to lignites with higher moisture content.
Article
Energy & Fuels
Magdalena Pankiewicz-Sperka, Krzysztof Kapusta, Wioleta Basa, Katarzyna Stolecka
Summary: The study focused on qualitative and quantitative characterization of UCG wastewater produced during four different experiments, showing significant relationships between wastewater composition and coal properties as well as gasification pressure, especially for organic pollutants like phenols, BTEX, and PAH's. The concentrations of these pollutants were found to vary depending on the type of coal and gasification pressure, with phenols having the highest concentrations. Additionally, the study found that concentrations of phenols, BTEX, and PAH's decrease with increasing pressure.
Review
Energy & Fuels
Jacek Borgulat, Katarzyna Ponikiewska, Lukasz Jalowiecki, Aleksandra Strugala-Wilczek, Grazyna Plaza
Summary: Underground coal gasification (UCG) is a clean coal technology, but it carries environmental risks. This review focuses on wetlands systems as a bioremediation method for treating UCG wastewater and provides examples and operating principles.
Article
Chemistry, Multidisciplinary
Xiaopeng Liu, Liangji Xu, Kun Zhang
Summary: Underground coal gasification (UCG) technology is a green, safe, and efficient method of coal development, playing a key role in the sustainable development of resources and energy. However, there is limited research on the strata movement and surface subsidence under high-temperature environments, hindering the further development of UCG technology. This study aims to address the key problems of UCG strata movement and surface subsidence prediction.
APPLIED SCIENCES-BASEL
(2023)
Article
Agriculture, Dairy & Animal Science
Satish Kumar, Subodh Kumar, Ran Vir Singh, Anuj Chauhan, Amit Kumar, Jaya Bharati, Shoor Vir Singh
Summary: This study investigated the association between SNPs in the CD209 gene and bovine PTB disease caused by MAP in Indian cattle. A significant correlation was found between SNP rs208814257 and PTB susceptibility, with the CG genotype being significantly higher in the control population, suggesting resistance against PTB.
ANIMAL BIOTECHNOLOGY
(2022)
Article
Agriculture, Dairy & Animal Science
Arnav Mehrotra, Bharat Bhushan, Amit Kumar, Manjit Panigrahi, A. Karthikeyan, Akansha Singh, Ashok K. Tiwari, Hubert Pausch, Triveni Dutt, Bishnu P. Mishra
Summary: A study identified a region significantly associated with antibody response to CSF vaccination in a mixed pig population, containing genes involved in Pestivirus replication and host immune response. This region may be a suitable candidate for future functional investigations in understanding the immune response of pigs.
ANIMAL BIOTECHNOLOGY
(2022)
Article
Mathematics, Applied
Sunil Kumar, Surath Ghosh, Mohamed Jleli, Serkan Araci
Summary: This study mainly discusses the application of the nonsingular YAC derivative in the fields of science, engineering, and financial mathematics, and applies it to the Cauchy-reaction diffusion equations for analysis. The results show that the proposed methods are in excellent compliance with the known exact solutions.
NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS
(2022)
Review
Chemistry, Multidisciplinary
Amit Kumar, Pooja Shandilya, Dai-Viet N. Vo, Gaurav Sharma, Mu Naushad, Pooja Dhiman, Florian J. Stadler
Summary: Providing sustainable energy and cleaning water pollution are major societal issues that require new catalysts, with transition metal phosphides emerging as effective photocatalytic materials. The electronic and structural properties of metal phosphide nanocomposites can be engineered through passivation strategies. The type and content of phosphorous in metal phosphides, as well as their crystalline structure, all influence their catalytic activity and stability. Recent developments have focused on using metal phosphide-based heterojunctions for H-2 production and photodegradation of aqueous pollutants.
ENVIRONMENTAL CHEMISTRY LETTERS
(2022)
Review
Chemistry, Multidisciplinary
Pooja Dhiman, Garima Rana, Amit Kumar, Gaurav Sharma, Dai-Viet N. Vo, Mu. Naushad
Summary: Energy shortage and pollution are major global challenges, and heterogeneous photocatalysis is a cost-effective method for producing renewable energy and removing pollutants. ZnO nanostructures are promising photocatalysts that are economic, stable, and biologically safe, and can be used for hydrogen production and pollutant degradation.
ENVIRONMENTAL CHEMISTRY LETTERS
(2022)
Article
Mathematics, Interdisciplinary Applications
Shaher Momani, R. P. Chauhan, Sunil Kumar, Samir Hadid
Summary: This research aims to explore the spread dynamics of the 2019 novel coronavirus (2019-nCOV) using a fractional approach called fractal-fractional (FF) derivative. The results obtained from different combinations of fractal and fractional orders are presented graphically, showing the impact of the new operator on real-life situations.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2022)
Article
Mathematics, Interdisciplinary Applications
Anwar Zeb, Sunil Kumar, Tareq Saeed
Summary: The social habit of smoking has had a social impact worldwide, leading to various diseases and the spread of infectious diseases such as COVID-19. This study presents a fractional-order smoking model and validates the theoretical results through numerical simulations.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2022)
Article
Thermodynamics
Sunil Kumar, Surath Ghosh, Shaher Momani, S. Hadid
Summary: The population model plays an important role in biology for interpreting the spreading rate of viruses and parasites, as well as identifying fragile species. This study proposed a new YAC fractional operator with a non-singular kernel to solve nonlinear partial differential equations in biological population models. The solutions were expressed in terms of Mittag-Leffler functions and compared with exact solutions, with three examples provided to demonstrate accuracy and efficiency.
INTERNATIONAL JOURNAL OF NUMERICAL METHODS FOR HEAT & FLUID FLOW
(2022)
Article
Mathematics, Applied
Sunil Kumar, Ram P. Chauhan, Mohamed S. Osman, S. A. Mohiuddine
Summary: The main aim of this work is to numerically investigate a mathematical model of the HIV/AIDS disease with awareness effect. The study extends the integer-order model to fractional order using the generalized Caputo fractional derivative. A fixed-point approach is utilized to prove the existence and uniqueness of the model. The fractional-order HIV/AIDS transmission model is then solved using a new numerical technique based on the Adams-Bashforth predictor-corrector method, and the results are illustrated through graphs.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2023)
Article
Physics, Multidisciplinary
Sunil Kumar, R. P. Chauhan, Ayman A. Aly, Shaher Momani, Samir Hadid
Summary: The aim of this study is to evaluate the dynamics of a Hepatitis B virus model using two different numerical algorithms and various values of the fractional-order parameter. The study also proposes a new variable-order fractional network model for HBV. The results provide insights for accurate disease modeling.
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS
(2022)
Article
Green & Sustainable Science & Technology
Shristi Kharola, Mangey Ram, Sachin Kumar Mangla, Nupur Goyal, O. P. Nautiyal, Durgesh Pant, Yigit Kazancoglu
Summary: This study aims to address food waste issues in the Indian food supply chain and proposes prioritizing waste prevention at the earlier stages, with skills and training identified as the highest priority criteria.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Computer Science, Information Systems
Kamred Udham Singh, Akshay Kumar, Teekam Singh, Mangey Ram
Summary: The advancement in neuroimaging technologies such as MRI and CT-Scan has greatly impacted the world healthcare system, allowing for more accurate disease diagnosis. However, the communication of medical images over the internet has raised concerns regarding integrity and copyright protection. This paper proposes a secure and robust watermarking scheme for NIFTI images based on LWT, MSVD, and QR. The scheme aims to retain image sensitivity and improve the robustness of watermarking. Results show that the proposed scheme outperforms existing schemes in terms of image quality and performance metrics.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Engineering, Multidisciplinary
Palak Saxena, Vijay Kumar, Mangey Ram
Summary: In this study, an integrated technique based on CRITIC and TOPSIS methods was developed to select the optimal SRGM. The proposed approach was illustrated with two real-time failure datasets and found to effectively solve the ranking problem of SRGMs.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2022)
Article
Mathematics, Applied
Krishna Pada Das, Kulbhushan Agnihotri, Harpreet Kaur, Sunil Kumar
Summary: In this paper, a mathematical model of a tri-trophic food chain is suggested and examined, considering the Allee effect in prey population and omnivory behavior of the top predator. The study explores the dynamical behavior of the system and finds conditions for local stability of the nonzero equilibrium point. It is also established that the omnivory and Allee parameters help to restrain the chaotic dynamics.
INTERNATIONAL JOURNAL OF DYNAMICAL SYSTEMS AND DIFFERENTIAL EQUATIONS
(2022)
Review
Chemistry, Multidisciplinary
Pooja Dhiman, Dipanshi Goyal, Garima Rana, Amit Kumar, Gaurav Sharma, Linxin, Gagan Kumar
Summary: New single-atom catalysts, particularly single-atom carbon-based nano-photocatalysts, show promise for environmental remediation due to their ultra-high efficiency, environmental compatibility, structural/chemical stability, and effective usage of active metal centres. These catalysts have sparked interest among researchers for their outstanding structure and features, such as enormous activity, selectivity, maximal atom usage, and improved intrinsic catalytic activity. Carbon and carbon-based nanomaterials provide an excellent substrate for stabilizing single-atom catalysts, thanks to their low-cost production, excellent conductivity, high surface area, functionality, and tunable properties. However, there is limited work on utilizing carbon supported single-atom catalysts for the high-performance removal/degradation of a broad range of noxious organic and inorganic contaminants from water.
JOURNAL OF NANOSTRUCTURE IN CHEMISTRY
(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.
