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Records with Subject: Modelling and Simulations
Showing records 3457 to 3481 of 5729. [First] Page: 1 136 137 138 139 140 141 142 143 144 Last
Investigation of an Intensified Thermo-Chemical Experimental Set-Up for Hydrogen Production from Biomass: Gasification Process Integrated to a Portable Purification System—Part II
Donatella Barisano, Giuseppe Canneto, Francesco Nanna, Antonio Villone, Emanuele Fanelli, Cesare Freda, Massimiliano Grieco, Andrea Lotierzo, Giacinto Cornacchia, Giacobbe Braccio, Vera Marcantonio, Enrico Bocci, Claire Courson, Marco Rep, Tom Oudenhoven, Steffen Heidenreich, Pier Ugo Foscolo
February 28, 2023 (v1)
Keywords: Aspen Plus, Biomass, biomass waste, fluidized-bed reactor, gas cleaning, gas conditioning, gasification, Hydrogen, Syngas
Biomass gasification is a versatile thermochemical process that can be used for direct energy applications and the production of advanced liquid and gaseous energy carriers. In the present work, the results are presented concerning the H2 production at a high purity grade from biomass feedstocks via steam/oxygen gasification. The data demonstrating such a process chain were collected at an innovative gasification prototype plant coupled to a portable purification system (PPS). The overall integration was designed for gas conditioning and purification to hydrogen. By using almond shells as the biomass feedstock, from a product gas with an average and stable composition of 40%-v H2, 21%-v CO, 35%-v CO2, 2.5%-v CH4, the PPS unit provided a hydrogen stream, with a final concentration of 99.99%-v and a gas yield of 66.4%.
Simulation Analysis of Power Consumption and Mixing Time of Pseudoplastic Non-Newtonian Fluids with a Propeller Agitator
Shiji Wang, Peng Wang, Jianping Yuan, Jinfeng Liu, Qiaorui Si, Dun Li
February 28, 2023 (v1)
Keywords: computational fluid dynamics (CFD), Mixing, propeller, pseudoplastic non-Newtonian fluids
In order to study the effect of a high twist rate propeller on the flow field characteristics of pseudoplastic non-Newtonian fluids, the numerical simulation method was used to analyze the mixing flow field of pseudoplastic non-Newtonian fluids at different concentrations in this paper. By changing the rotational speed and the blade installation height, the vorticity, turbulent energy, mixing power consumption, mixing time and mixing energy of the flow field were analyzed. By analyzing and comparing the research results, it was found that increasing the mixing propeller speed can effectively improve the mixing effect. Single-layer arrangement of mixing propeller is not suitable to be placed close to the bottom of the tank, and the mixing of the upper flow field is weaker. Under the same conditions, when the viscosity of pseudoplastic non-Newtonian fluid is increased, the high vorticity and high turbulence energy area is reduced to the mixing propeller area, and the time required for mi... [more]
Nonlinear Dynamic Model for Parameter Estimation of Li-Ion Batteries Using Supply−Demand Algorithm
Ragab El-Sehiemy, Mohamed A. Hamida, Ehab Elattar, Abdullah Shaheen, Ahmed Ginidi
February 28, 2023 (v1)
Keywords: dynamic nonlinear model, Li-ion batteries, open-circuit voltage relationship, SOC estimation, supply–demand algorithm
The parameter extraction of parameters for Li-ion batteries is regarded as a critical topic for assessing the performance of battery energy storage systems (BESSs). The supply−demand algorithm (SDA) is used in this work to identify a storage system’s unknown parameters. The parameter-extracting procedure is represented as a nonlinear optimization task in which the state of charge (SOC) is approximated using nonlinear features related to the battery current and the initial SOC condition. Furthermore, the open-circuit voltage is approximated using the resulting SOC, which is performed in a nonlinear formula, as well. When used in the dynamic nonlinear BESS model, the SDA was used to verify the fitness values and standard deviation error. Furthermore, the results that were acquired using SDA are compared to recently developed approaches, which are the gradient-based, tuna swarm, jellyfish, heap-based, and forensic-based optimizers. Simulated studies were paired with experiments for the 40... [more]
Improved Sampled Average Modulation Technique for the Modular Multilevel Converters
Juan Carlos Colque, Ernesto Ruppert Filho, José Luis Azcue
February 28, 2023 (v1)
Keywords: 2N + 1 voltage levels, modular multilevel converter, modulation techniques, sampled average
In this article the improved sampled average modulation technique is proposed, this technique has 2N + 1 levels in the output voltage waveform of MMC and it is considered as of low complexity of implementation for any number of submodules per arm. For that, characteristics such as dynamic response, implementation complexity, inverter output voltage waveform levels, and switching frequency are considered to evaluate and validate the proposed modulation technique. The proposed technique is compared with other three previously proposed techniques, its considering parameters such as the THD and the fundamental value of the output voltage, and also the peak-to-peak variation of the submodule capacitor voltage. Several simulations were performed in the Matlab/Simulink software and with these results, it was validated the proposed modulation technique, and also it is verified that the proposed technique is computationally more efficient. This last one shows its potential for multiphase multil... [more]
Investigation and Optimisation of the Steady-State Model of a Coke Oven Gas Purification Process
Nikolett Radó-Fóty, Attila Egedy, Lajos Nagy, Iván Hegedűs
February 28, 2023 (v1)
Keywords: Absorption, coke oven gas, gas purification, rate-based model
Turbulences in energy prices have a major effect on the energy industry. These disturbances should allow more efficient operation and the optimisation of technologies, leading to more versatile operation with model-based methods. In our study, a coke oven gas purification system was examined. The system consists of three columns, which interact and are modelled in Aspen Plus. After identifying the steady-state model, sensitivity analyses were conducted to obtain more information on the effects of the parameters that can and cannot be influenced by operating circumstances. Finally, the model was used to carry out optimisation studies to find the most beneficial operating conditions under the gas composition requirements. Two optimisation strategies were examined. In the case when only the purity was concerned, 0.54 g/Nm3, 0.01 g/Nm3, and 0.03 g/Nm3 concentrations were found for H2S, NH3, and HCN, respectively. However, when the washing water temperature was included, the concentrations... [more]
Digital Twin Development of a Dynamic Hardware Emulator
Sandro Kellermüller, Artjoms Obushevs, Miguel Ramirez Gonzalez, Petr Korba
February 28, 2023 (v1)
Keywords: digital twin, dynamic hardware emulator, inter-area oscillations, parameter identification, power system dynamics, wide area damping
The increasing deployment of new technologies to contribute to the decarbonization of power systems is imposing new challenges in terms of system dynamics and stability. To deal with different operating and control issues in this sense, and support actual needs, advanced tools and solutions are required. Therefore, this paper presents a digital twin of a dynamic hardware emulator that can be used for controller hardware in the loop (CHIL) testing and is based on a small-scale laboratory system. To build the simulation model, the parameters of involved synchronous machines, excitation systems, prime movers and transmission lines have been identified and then compared to laboratory measurements to assess the accuracy of the digital twin. Static and dynamic accuracy have been investigated and an overall good accuracy can be shown with the help of quantification of errors. Furthermore, a case study is presented where the digital twin was used to design a controller to damp inter-area oscil... [more]
Modeling and Experimental Investigation of the Anode Inlet Relative Humidity Effect on a PEM Fuel Cell
Lu Zhang, Yongfeng Liu, Guijun Bi, Xintong Liu, Long Wang, Yuan Wan, Hua Sun
February 28, 2023 (v1)
Keywords: condensation rate, inlet water content, PEMFC, relative humidity, species distribution
External humidification has been used as a flexible water management strategy for the proton exchange membrane fuel cell (PEMFC). To study the anode inlet relative humidity (ARH) effect on the performance of PEMFC, the anode inlet water content (AIWC) model is established, including condensation rates and water activity. A comparable analysis between the AIWC model, Fluent model and experiment is conducted at 60 °C operating temperature, four different anode relative humidities (25%, 50%, 75% and 100%), and 100% cathode relative humidity (CRH). The species distributions of water content and hydrogen concentration are presented and analyzed. The results show the relative error of the voltage results derived from the AIWC model has been reduced by 3.2% (the original is 4.6% in the Fluent model) especially at 240 mA·cm−2 for 50% ARH. An increase in hydrogen humidity can improve the PEMFC output at low ARH (25% and 50%). Meanwhile, at high ARH (100%), the excess water produced does not pla... [more]
Closed-Loop Combustion Optimization Based on Dynamic and Adaptive Models with Application to a Coal-Fired Boiler
Chuanpeng Zhu, Pu Huang, Yiguo Li
February 28, 2023 (v1)
Keywords: adaptive least squares support vector machine (ALSSVM), combustion optimization, dynamic model, industrial application
To increase combustion efficiency and reduce pollutant emissions, this study presents an online closed-loop optimization method and its application in a boiler combustion system. To begin with, three adaptive dynamic models are established to predict NOx emission, the carbon content of fly ash (Cfh), and exhaust gas temperature (Teg), respectively. In these models, the orders of the input variables are considered to enable them to reflect the dynamics of the combustion system under load changes. Meanwhile, an adaptive least squares support vector machine (ALSSVM) algorithm is adopted to cope with the nonlinearity and the time-varying characteristics of the combustion system. Subsequently, based on the established models, an economic model predictive control (EMPC) problem is formulated and solved by a sequential quadratic programming (SQP) algorithm to calculate the optimal control variables satisfying the constraints on the control and control moves. The closed-loop optimization syste... [more]
Dynamic Characteristics and Demonstration of an Integrated Linear Engine Generator with Alternative Electrical Machines
Ramin Moeini Korbekandi, Nick J. Baker, Mehmet C. Kulan, Aslan S. Jalal, Dawei Wu, Mingqiang Li
February 28, 2023 (v1)
Keywords: coupled dynamic model, linear engine generator, linear machine, permanent magnet linear generator
A linear engine generator with a compact double-acting free piston mechanism allows for full integration of the combustion engine and generator, which provides an alternative chemical-to-electrical energy converter with a higher volumetric power density for the electrification of automobiles, trains, and ships. This paper aims to analyse the performance of the integrated engine with alternative permanent magnet linear tubular electrical machine topologies using a coupled dynamic model in Siemens Simcenter software. Two types of alternative generator configurations are compared, namely long translator-short stator and short translator-long stator linear machines. The dynamic models of the linear engine and linear generator, validated with lab-scale prototypes, are applied to investigate the influence of alternative topologies of the generator on system performance. The coupled model will facilitate the early design phase and reveal the optimal match of the key parameters of the engine a... [more]
Review of Selected Advances in Electrical Capacitance Volume Tomography for Multiphase Flow Monitoring
Rafiul K. Rasel, Shah M. Chowdhury, Qussai M. Marashdeh, Fernando L. Teixeira
February 28, 2023 (v1)
Keywords: electrical capacitance volume tomography, flow monitoring, flow velocimetry, image reconstruction, Machine Learning, multiphase flow
Electrical Capacitance Volume Tomography (ECVT) has emerged as an attractive technology for addressing instrumentation requirements in various energy-related multiphase flow systems. ECVT can monitor multiple flow conditions and reconstruct real-time 3D images from capacitance measurements using a large set of electrode plates placed around the processes column enclosing the sensed flow system. ECVT is non-intrusive and allows the measurement of changes in mutual capacitance between all possible plate pair combinations. The objective of this paper is to provide a comprehensive review of recent advances in ECVT, enabling robust monitoring of multiphase flows, especially water-containing multiphase flows.
Bibliometric Analysis of Solar Desalination Systems Powered by Solar Energy and CFD Modelled
Chandrakant R. Sonawane, Hitesh N. Panchal, Siamak Hoseinzadeh, Mohammad Hadi Ghasemi, Ali Jawad Alrubaie, Ali Sohani
February 28, 2023 (v1)
Keywords: Computational Fluid Dynamics, desalination, radiation, solar still
Solar desalination is a sustainable approach to producing fresh water from saline water. Researchers have tried modifications to solar desalination systems to enhance the distillate output. This survey aims to recognize the characteristics of research work for investigating solar desalination systems. The essential terms to be focused on are computational fluid dynamics (CFD) and solar radiation consideration for the investigation. The data for this bibliometric study was taken from Scopus, with 1932 publications. The characteristics of the research work were analyzed by identifying the research publications, research subject areas, journals, most contributed countries, and data from the authors. The research trend was investigated utilizing yearly research growth, geographical contributions, source quality of publications, and participation of various institutions. VOSviewer software was used for network analysis of essential keywords used in relevant research works and to understand... [more]
Simulation and Design of a Balanced-Field Electromagnetic Technique Sensor for Crack Detection in Long-Distance Oil and Gas Pipelines
Lijian Yang, Jiayin Li, Wenxue Zheng, Bin Liu
February 28, 2023 (v1)
Keywords: balanced-field electromagnetic technique, crack detection, long-distance oil and gas pipelines, sensitivity, sensor design
Due to the extremely small size and arbitrary orientation of the cracks, a highly sensitive sensor based on the balanced-field electromagnetic technique was designed for in-line inspection of oil and gas pipeline cracks. A balanced-field electromagnetic technique sensor mutual inductance model was established and used to theoretically analyze the parameters affecting sensitivity. Finite element simulation was used to analyze the specific effects of the magnetically conductive medium, the number of coil turns, and the sensor lift-off height on the sensor output, respectively, and the sensor parameters of high sensitivity were determined. The detection effect of the sensor on the pipeline crack was tested by the single-sensor experiment and the pulling test. The results show that the designed balanced-field electromagnetic technique sensor is effective in detecting both circumferential and axial cracks of 0.5 to 6 mm in depth. As the crack depth increases, the sensitivity decreases and t... [more]
Spectral Analysis on Transport Budgets of Turbulent Heat Fluxes in Plane Couette Turbulence
Takuya Kawata, Takahiro Tsukahara
February 28, 2023 (v1)
Keywords: direct numerical simulation, multi-scale interaction, turbulent energy transport, turbulent heat transfer, wall-bounded turbulent flow
In recent years, scale-by-scale energy transport in wall turbulence has been intensively studied, and the complex spatial and interscale transfer of turbulent energy has been investigated. As the enhancement of heat transfer is one of the most important aspects of turbulence from an engineering perspective, it is also important to study how turbulent heat fluxes are transported in space and in scale by nonlinear multi-scale interactions in wall turbulence as well as turbulent energy. In the present study, the spectral transport budgets of turbulent heat fluxes are investigated based on direct numerical simulation data of a turbulent plane Couette flow with a passive scalar heat transfer. The transport budgets of spanwise spectra of temperature fluctuation and velocity-temperature correlations are investigated in detail in comparison to those of the corresponding Reynolds stress spectra. The similarity and difference between those scale-by-scale transports are discussed, with a particul... [more]
Decaying DC Offset Current Mitigation in Phasor Estimation Applications: A Review
Sina Mohammadi, Amin Mahmoudi, Solmaz Kahourzade, Amirmehdi Yazdani, GM Shafiullah
February 28, 2023 (v1)
Keywords: DC offset current, DFT, harmonics, least-squares (LS) method, noise, off-nominal frequency, phasor estimation
Decaying DC (DDC) offset current mitigation is a vital challenge in phasor current estimation since it causes malfunctioning/maloperation of measurements and protection systems. Due to the inductive nature of electric power systems, the current during fault inception cannot change immediately and it contains a transient oscillation. The oscillatory component acts similar to an exponential DC signal and its characteristics depend on the X/R ratio of the system, fault location, and fault impedance. DDC attenuates accurate phasor estimation, which is pivotal in protection systems. Therefore, the DDC must be eliminated from the fault current (FC) signal. This paper presents an overview of DDC mitigation methods by considering different groups—before the discrete Fourier transform (pre-DFT), after the discrete Fourier transform (post-DFT), the least square-based (LS-based), and other methods. Through a comprehensive review of the existing schemes, the effects of noise, harmonics, multiple D... [more]
CTF-PARCS Core Multi-Physics Computational Framework for Efficient LWR Steady-State, Depletion and Transient Uncertainty Quantification
Gregory K. Delipei, Pascal Rouxelin, Agustin Abarca, Jason Hou, Maria Avramova, Kostadin Ivanov
February 28, 2023 (v1)
Keywords: CTF, LWR, multi-physics, PARCS, uncertainty quantification
Best Estimate Plus Uncertainty (BEPU) approaches for nuclear reactor applications have been extensively developed in recent years. The challenge for BEPU approaches is to achieve multi-physics modeling with an acceptable computational cost while preserving a reasonable fidelity of the physics modeled. In this work, we present the core multi-physics computational framework developed for the efficient computation of uncertainties in Light Water Reactor (LWR) simulations. The subchannel thermal-hydraulic code CTF and the nodal expansion neutronic code PARCS are coupled for the multi-physics modeling (CTF-PARCS). The computational framework is discussed in detail from the Polaris lattice calculations up to the CTF-PARCS coupling approaches. Sampler is used to perturb the multi-group microscopic cross-sections, fission yields and manufacturing parameters, while Dakota is used to sample the CTF input parameters and the boundary conditions. Python scripts were developed to automatize and modu... [more]
Energy Flow Modelling Method of Energy Efficiency Improvement for Power-Using Electromechanical Products
Xiang Wang, Dong Xiang
February 28, 2023 (v1)
Keywords: characteristic energy, energy efficiency improving, energy flow model, performance design
As a crucial factor in the improvement of energy efficiency for power-using electromechanical products, the flow, conversion and distribution of energy are closely related to design variables of products. Simultaneously, performance is the constraint of energy efficiency and is strongly affected by design variables. In order to improve a product’s energy efficiency without compromising performance, an energy flow model with a basic energy flow element (EFE) was built on a functional basis and its modelling procedure is presented in this paper. Containing function, design variable and characteristic energy in EFEs, as well as the interface parameters between EFEs and environment, the model contributes to logically clarifying the relationship between design variables and performance. With the refrigerator as an example, the effectiveness of the energy flow model is verified by a comparison between simulation, based on an energy flow model, and experimentation. Furthermore, five critical... [more]
Dynamic Response Analysis of a Novel Anti-Impact Pressure Balance Jack
Lirong Wan, Xuehui Yu, Dejian Ma, Zhaosheng Meng, Qingliang Zeng, Guoqing Qi
February 28, 2023 (v1)
Keywords: balance jack, buffer, impact of underground pressure, mining machinery, shield hydraulic support
Coal resources perform an important role in China’s energy structure. Hydraulic support is the main supporting equipment of fully mechanized mining face in coal mines. Because the hydraulic support frequently bears the impact pressure from the working face, it is very easy to cause failure of the balance jack. In order to solve the problem that the balance jack easily damaged by impact and improve the impact resistance of the hydraulic support, an improved fast response balance jack with multiple adaptive buffers was proposed in this paper. The energy dissipation characteristics of the balance jack were analyzed by establishing the mathematical model of the multiple buffering process of it. Based on ADAMS, the dynamic simulation model of the hydraulic support was constructed, and the mechanical response characteristics of the proposed balance jack and the traditional balance jack under different impact loads were compared and analyzed. By changing the equivalent stiffness of the novel... [more]
Application of Temporal Fusion Transformer for Day-Ahead PV Power Forecasting
Miguel López Santos, Xela García-Santiago, Fernando Echevarría Camarero, Gonzalo Blázquez Gil, Pablo Carrasco Ortega
February 28, 2023 (v1)
Keywords: Artificial Intelligence, deep learning, photovoltaic power forecast, solar energy, Temporal Fusion Transformer
The energy generated by a solar photovoltaic (PV) system depends on uncontrollable factors, including weather conditions and solar irradiation, which leads to uncertainty in the power output. Forecast PV power generation is vital to improve grid stability and balance the energy supply and demand. This study aims to predict hourly day-ahead PV power generation by applying Temporal Fusion Transformer (TFT), a new attention-based architecture that incorporates an interpretable explanation of temporal dynamics and high-performance forecasting over multiple horizons. The proposed forecasting model has been trained and tested using data from six different facilities located in Germany and Australia. The results have been compared with other algorithms like Auto Regressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), Multi-Layer Perceptron (MLP), and Extreme Gradient Boosting (XGBoost), using statistical error indicators. The use of TFT has been shown to be more accurate... [more]
Research on Vehicle-to-Vehicle MIMO Wireless Channels in Various Tunnels
Jie Zhou, Sujie Wu, Zhikang Lv, Hong Luo, Ting Liu, Genfu Shao
February 28, 2023 (v1)
Keywords: Doppler PSDs, frequency CCfs, MIMO channel modeling, space CCFs, temporal ACFs
In this paper, we propose a geometry-based channel model for multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) communications in practical tunnel scenarios. In the proposed channel model, the waves transmitted from the transmitter experience line-of-sight (LoS) and non-LoS (NLoS) before arriving at the receiver. The time-varying parameters of the propagation paths and angles are derived to characterize the channel non-stationarity. Furthermore, we derive the correlation property functions of the proposed V2V channel model; they are space cross-correlation functions (CCFs), temporal auto-correlation functions (ACFs), frequency CCFs, as well as the Doppler power spectrum distributions (PSDs). Numerous simulation results of the propagation characteristic for different physical properties of the tunnel, as well as the different motion properties of the transmitter and receiver, are studied and discussed; they demonstrate that the proposed channel model is suitable for describi... [more]
A Study on the Safety Analysis of an Inductive Power Transfer System for Kitchen Appliances
Ying Liu, Jiantao Zhang, Chunbo Zhu, Ching Chuen Chan
February 28, 2023 (v1)
Keywords: inductive power transfer, international standards, safety, SAR
This paper presents a detailed analysis of the safety of human bodies in the electromagnetic field generated by inductive power transfer (IPT) systems designed for kitchen appliances. Comparisons of basic and reference limit values of various safety standards are investigated through theoretical circuit analysis and extensive simulation studies. Simulation models of human bodies along with an IPT system for kitchen appliances are established to reveal the effect of the electromagnetic field on the human body. Corresponding experiments are conducted via constructing a configuration of the designed IPT system and simulating the standing position. Both experimental and analytical results indicate that it is easier to fulfill international safety standards by increasing the operating frequency of the IPT system for kitchen appliances, and hence, the safety of human bodies can be effectively improved.
AVO Detuning Effect Analysis Based on Sparse Inversion
Shiyou Liu, Weiqi Song, Xinrui Zhou, Anju Yan, Xixin Wang, Yangsen Li
February 28, 2023 (v1)
Keywords: AVO analysis, seismic exploration, sparse inversion, thin interlayer, tuning effects
The wave field characteristics of thin reservoirs are extremely complex due to the tuning and interference between the top and bottom interfaces of the reservoirs, which leads to large uncertainty in thin layer AVO (Amplitude Versus Offset) analysis. In order to reduce the uncertainty of thin layer AVO analysis, we study the uncertainty dominant factors of the effect of thin layer on the AVO response characteristics from the aspects of theoretical derivation and forward simulation. Based on the research results, we use the AVO fitting forward method with offset and tuning utility as the joint inversion operator to establish an AVO detuning effect method, based on the sparse fitting inversion strategy, and study the objective function of the fitting inversion method. We optimize the sparsity constraints and the sparsity method to reduce the non-independence of multiparameter variables and seismic data, and the noise of inversion. Through the verification analysis of the model using actu... [more]
Method to Predict Outputs of Two-Dimensional VAWT Rotors by Using Wake Model Mimicking the CFD-Created Flow Field
Jirarote Buranarote, Yutaka Hara, Masaru Furukawa, Yoshifumi Jodai
February 28, 2023 (v1)
Keywords: closely spaced arrangement, Computational Fluid Dynamics, control volume, interaction effect, momentum conservation, rotor cluster, vertical-axis wind turbine, wake model
Recently, wind farms consisting of clusters of closely spaced vertical-axis wind turbines (VAWTs) have attracted the interest of many people. In this study, a method using a wake model to predict the flow field and the output power of each rotor in a VAWT cluster is proposed. The method uses the information obtained by the preliminary computational fluid dynamics (CFD) targeting an isolated single two-dimensional (2D) VAWT rotor and a few layouts of the paired 2D rotors. In the method, the resultant rotor and flow conditions are determined so as to satisfy the momentum balance in the main wind direction. The pressure loss of the control volume (CV) is given by an interaction model which modifies the prepared information on a single rotor case and assumes the dependence on the inter-rotor distance and the induced velocity. The interaction model consists of four equations depending on the typical four-type layouts of selected two rotors. To obtain the appropriate circulation of each roto... [more]
Numerical Simulation and Optimization of Rapid Filling of High-Pressure Hydrogen Storage Cylinder
Longchang Xue, Jiajia Deng, Xueren Wang, Zaizhou Wang, Bin Liu
February 28, 2023 (v1)
Keywords: hydrogen storage bottle, injection pipeline, state of charge, temperature evolution
The fast charging process of high-pressure gas storage cylinders is accompanied by high temperature rise, which potentially induces the failure of solid materials inside the cylinders and the underfilling of the cylinders. A two-dimensional (2D) axisymmetric model simulated the charging process of hydrogen storage cylinders with a rated working pressure of 35 MPa and a volume of 150 L. During filling, the highest temperature rise inside the cylinder occurs at the bottom part of the cylinder, and the state of charge (SOC) is 46.4% after filling. This temperature rise can be reduced by precooling the injected hydrogen, and the highest SOC can reach 95.7% after injection. The SOC in the cylinder gradually increases with a decrease in the temperature of the hydrogen injection. The maximum SOC increase is 49.3%. For safety and the SOC exceeding 90%, the hydrogen gas should be precooled to below −10 °C, and the SOC could achieve more than 90.3%. The internal structure of the hydrogen cylinde... [more]
Modeling Results for the Real Horizontal Heavy-Oil-Production Well of Mechanical Solids
Aleksey Dengaev, Vladimir Shishulin, Elena Safiullina, Aleksandra Palyanitsina
February 28, 2023 (v1)
Keywords: «OLGA», high-viscosity oil, horizontal wells, mechanical solids, particle, sand production, sand transport
Recently, more and more new oil fields entering commercial production are complicated by the content of high-viscosity products, which are located at relatively shallow depths. For the rational development of such fields, a network of horizontal wells is used. A special feature of these objects is a weakly cemented reservoir, which leads to significant sand occurrence during well operation. At the same time, the removal of mechanical impurities cannot be avoided even when using complex measures, including the use of various filters. There are quite a few methods describing the behavior of mechanical impurities in gas−liquid flows. The purpose of the work was to analyze the removal of mechanical impurity particles from horizontal wells with high-viscosity oil. A model of a typical well in the OLGA software was created, and data on the types of particle removal were obtained. As a result of calculations, the quality of removal for different diameters of mechanical impurities was determin... [more]
Numerical Simulation of Multi-Nozzle Droplet Evaporation Characteristics for Desulfurization Wastewater
Xinrui Guo, Jiangbo Wu, Xiaoze Du, Yaocong Zhang, Shuqin Feng, Shujun Liu
February 28, 2023 (v1)
Keywords: atomized droplet, flue gas desulfurization wastewater, least-square support vector machine, spray evaporation, zero discharge of wastewater
Spraying flue gas desulfurization wastewater into flue ducts is an emerging technology that is receiving extensive attention in thermal power plants. In order to study the evaporative performance of wastewater-atomizing droplets under variable working conditions, a combined Euler−Lagrange model was developed to demonstrate the thermal behavior of FGD wastewater spray evaporation in flue gas. The effects of several control factors under various operating conditions were numerically determined and validated against experimental data. Due to the complicated parameters and various other conditions, a least-square support vector machine (LSSVM) model relying on numerical results was used to anticipate the evaporation rate of the droplets. We prove that the LSSVM model has high prediction accuracy for the evaporation rate at different cross-sections of flue under a different operating situation. The conclusion is that for the sake of improving the quality of evaporation, the spacing between... [more]
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