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Records with Subject: Modelling and Simulations
Showing records 2568 to 2592 of 5729. [First] Page: 1 100 101 102 103 104 105 106 107 108 Last
Basic Principles, Most Common Computational Tools, and Capabilities for Building Energy and Urban Microclimate Simulations
George M. Stavrakakis, Dimitris Al. Katsaprakakis, Markos Damasiotis.
March 8, 2023 (v1)
Keywords: building energy performance, building physics, simulation tools, urban heat island.
This paper presents basic principles of built-environment physics’ modelling, and it reviews common computational tools and capabilities in a scope of practical design approaches for retrofitting purposes. Well-established simulation models and methods, with applications found mainly in the international scientific literature, are described by means of strengths and weaknesses as regards related tools’ availability, easiness to use, and reliability towards the determination of the optimal blends of retrofit measures for building energy upgrading and Urban Heat Island (UHI) mitigation. The various characteristics of computational approaches are listed and collated by means of comparison among the principal modelling methods as well as among the respective computational tools that may be used for simulation and decision-making purposes. Insights of coupling between building energy and urban microclimate models are also presented. The main goal was to provide a comprehensive overview of a... [more]
A Self-Sensing Method for Electromagnetic Actuators with Hysteresis Compensation
Niklas König, Yannik Carbon, Matthias Nienhaus, Emanuele Grasso.
March 8, 2023 (v1)
Keywords: electromagnetic actuators, hysteresis compensation, position estimation, self-sensing, sensorless.
Self-sensing techniques are a commonly used approach for electromagnetic actuators since they allow the removal of position sensors. Thus, costs, space requirements, and system complexity of actuation systems can be reduced. A widely used parameter for self-sensing is the position-dependent incremental inductance. Nevertheless, this parameter is strongly affected by electromagnetic hysteresis, which reduces the performance of self-sensing. This work focuses on the design of a hysteresis-compensated self-sensing algorithm with low computational effort. In particular, the Integrator-Based Direct Inductance Measurement (IDIM) technique is used for the resource-efficient estimation of the incremental inductance. Since the incremental inductance exhibits a hysteresis with butterfly characteristics, it first needs to be transformed into a B-H curve-like hysteresis. Then, a modified Prandtl−Ishlinskii (MPI) approach is used for modeling this hysteretic behavior. By using a lumped magnetic cir... [more]
Details on the Hydrothermal Characteristics within a Solar-Channel Heat-Exchanger Provided with Staggered T-Shaped Baffles
Driss Meddah Medjahed, Houari Ameur, Redha Rebhi, Mustafa Inc, Hijaz Ahmad, Younes Menni, Giulio Lorenzini, Fatimah S. Bayones, Musaad Aldhabani.
March 8, 2023 (v1)
Keywords: Computational Fluid Dynamics, heat exchanger, heat transfer, hydrothermal, solar channel, T-baffle, turbulence.
Details on the hydrothermal characteristics of turbulent flows in a solar channel heat exchanger (CHE) are highlighted. The device has transverse T-shaped vortex generators (VGs). Two staggered VGs (baffles) are inserted on the lower and upper walls of the CHE. The working fluid is Newtonian and incompressible, with constant physical properties. The ANSYS Fluent 17.0 is utilized in this survey. The second-order upwind and QUICK schemes were utilized to perform the discretization of pressure and convective terms, respectively. The SIMPLE algorithm was employed to achieve the speed-pressure coupling. The residual target 10−9 was selected as a convergence criterion. The effects of the T-VGs’ geometrical shape and Reynolds numbers were inspected. At the baffle level, the wall effect was augmented due to the reduction of the passage area of flows, which is estimated here to be 55%, resulting thus in a considerable resistance to the movement of fluid particles. The thermal distribution is hi... [more]
How BIM Contributes to a Building’s Energy Efficiency throughout Its Whole Life Cycle: Systematic Mapping
Tatjana Vilutienė, Rasa Džiugaitė-Tumėnienė, Diana Kalibatienė, Darius Kalibatas.
March 8, 2023 (v1)
Keywords: Building Information Modeling (BIM), building life cycle, energy analysis, systematic mapping.
This paper presents a systematic mapping (SM) study with the aim to determine how Building Information Modeling (BIM) methodologies and technologies contribute to energy-related analyses over the course of the entire building life cycle. The method adopted in the study is based on a set of seven research questions. We used a mixed technique combining co-citation analysis and bibliographic coupling in order to analyze the publications’ datasets for the period 2010−2020. The main advantage and novelty of this study are that the joint dataset from the Scopus and Web of Science databases was used to develop the keyword map. The main findings of this study indicate that many BIM-based applications can be used to analyze the building energy performance at all stages of the building life cycle. However, the applications of BIM in conjunction with other information technologies are limited and are still in the initial stage. In the future, the main improvements should be focused on process, mo... [more]
Mining-Induced Seismicity during Development Works in Coalbeds in the Context of Forecasts of Geomechanical Conditions
Dariusz Chlebowski, Zbigniew Burtan.
March 8, 2023 (v1)
Keywords: analytical modelling, mining-induced seismicity, rock mechanics, rockburst hazard.
Mining-induced seismicity in the area of development works and proper mining operations is one of the major determinants of the rockburst hazard level in underground mines. Rockburst hazard assessment in Polish collieries is performed by a variety of mining and geophysical methods, including seismic and seismoacoustic techniques, borehole surveys, small diameter drilling, rock strata profiling and analyses of geomechanical properties of rocks, geological structure and geological mining conditions. In the case of zones particularly exposed to potential hazards, it is recommended that analytical or numerical forecasts of the state of stress in the vicinity of workings should be used already at the stage of planning of mining operations. This study summarises the comparative analysis of seismic test data and analytical forecasts of the state of stress in five selected headings in one of the burst-prone collieries within the Upper Silesia Coal Basin in Poland (USCB). As regards the seismic... [more]
Characterization of the Effects of Ingested Bodies on the Rotor−Stator Interaction of Hydraulic Turbines
Alfredo Guardo, Alfred Fontanals, Mònica Egusquiza, Carme Valero, Eduard Egusquiza.
March 8, 2023 (v1)
Keywords: Computational Fluid Dynamics, ingested bodies, rotor–stator interaction, runner blockage, turbine failure, vibration.
Runner and distributor blockages in hydraulic turbines occur due to the ingestion of external bodies such as rocks or logs. These obstructions can change the amplitude and uniformity of the pressure pulsations in the machine, creating large unbalanced forces that can lead to reduced efficiency, increased vibration and mechanical damage. In this paper, the effects of obstructions caused by ingested bodies in the runner and the distributor of a pump turbine on its internal pressure pulsation were investigated by means of computational fluid dynamics. A numerical model of an unobstructed pump turbine is presented and validated against experimental data. Several cases of runner or distributor blockage were studied, and their RSI pressure pulsations were recorded and analyzed at different locations. The results obtained allow us to characterize the effect of these blockages on the machine’s RSI, which can be helpful for the correct diagnosis of these types of damage.
Efficiency of Different Balcony Slab Modernization Method in Retrofitted Multi-Family Buildings
Beata Sadowska, Piotr Bieranowski.
March 8, 2023 (v1)
Keywords: balcony slab, building envelopes, energy analysis, internal surface temperature, large panel residential building, THERM simulations, thermal bridges.
Many buildings have considerable thermal bridges at the junction of balcony slabs with walls. To achieve the new EU directive targets related to energy efficiency, greater attention should be paid to such design details. This study analyzes the efficiency of traditional balcony slab modernization methods, the use of modern insulation materials and a new alternative system: an added self-supporting light balcony system (LKBD) in retrofitted large-panel buildings. The main objective was to capture cost-effective renovation methods from both the heat loss reduction perspectives and risk of surface condensation. The analyses, carried out in four buildings, have shown that at current costs, the thermal modernization of balconies is not economically efficient (SPBT > 98.4 years). However, it is necessary because leaving the balcony slabs without insulation or only insulating them from the bottom carries the risk of surface condensation. The most cost-effective renovation method is to insulat... [more]
Insulator Contamination Grade Recognition Using the Deep Learning of Color Information of Images
Da Zhang, Shuailin Chen.
March 8, 2023 (v1)
Keywords: color image, contamination grade, DBN, deep learning, KPCA.
To implement the non-contact detection of contamination on insulators, a contamination severity assessment methodology using the deep learning of the colored image information of insulators can be used. For the insulator images taken at the substation site, a mathematical morphology-improved optimal entropic threshold (OET) method is utilized to extract the insulator from the background. By performing feature calculations of insulator images in RGB and HSI color spaces, sixty-six color features are obtained. By fusing the features of the two color spaces using kernel principal component analysis (KPCA), fused features are obtained. The recognition of contamination grades is then accomplished with a deep belief network (DBN) that consists of a three-layered restricted Boltzmann machine. The experimental results of the images taken on-site show that the fused features obtained by the KPCA can fully reflect the contamination state of the insulators. Compared with the identification obtain... [more]
Experimental and Numerical Study of Multiple Jets Impinging a Step Surface
Flavia V. Barbosa, Senhorinha F. C. F. Teixeira, José C. F. Teixeira.
March 8, 2023 (v1)
Keywords: Computational Fluid Dynamics, flow dynamics, heat transfer, jet impingement, particle image velocimetry.
Multiple jet impingement is a widely implemented convective process for enhancing heat transfer over target surfaces. Depending on the engineering application, the impinging plate can have different configurations. However, the increased complexity of the surface induces complicated thermal behaviors that must be analyzed. In that sense, this study consisted of the experimental and numerical analysis of multiple jets impinging on a step surface. A particle image velocimetry technique was applied to measure velocity fields, while a heat flux sensor was mounted on the surface to determine the heat transfer. Numerical simulations, for both flat and non-flat plates, were conducted in ANSYS FLUENT applying the SST k-ω model, and experimental results were used to validate the model. Three surface configurations were analyzed, flat, 1 D, and 2 D steps, and the results show an increase in the average Nusselt number compared with the flat plate, 9% and 20%, respectively. This increase was mainl... [more]
Modelling Surface Electric Discharge Propagation on Polluted Insulators under AC Voltage
Mohamed Lamine Amrani, Slimane Bouazabia, Issouf Fofana, Fethi Meghnefi, Marouane Jabbari, Djazia Khelil, Amina Boudiaf.
March 8, 2023 (v1)
Keywords: arc propagation, finite element method (FEM), flashover, inception voltage, pollution.
In this contribution, a mathematical model allowing for the prediction of the AC surface arc propagation on polluted insulators under non-uniform electric field is proposed. The approach is based on the experimental concept of Claverie and Porcheron. The proposed model, which makes it possible to reproduce the surface electric discharge, includes a condition for arrest of the propagating discharge. The electric field at the tip of the discharge is the key parameter governing its random propagation. A finite element approach allows for mapping of the electric field distribution while the discharge propagation process is simulated in two dimensions. The voltage drop along the arc discharge path at each propagation step is also taken into account. The simulation results are validated against experimental data, taking into account several electro-geometric parameters (distance between electrodes, pollution conductivity, radius of high-voltage electrode, length of the plane electrode). Good... [more]
Modeling and Estimation of Break Arc Extinction Distance in Low Voltage DC Systems
Yong-Jung Kim, Hyo-Sung Kim.
March 8, 2023 (v1)
Keywords: arc extinction distance, DC breaking arc, DC distribution, DC series arc model.
Recently, as DC power generation and DC loads such as renewable energy and EVs increase, the need for a low-voltage direct current (LVDC) distribution system has gradually emerged. The DC system has various advantages, such as system stability, transmission efficiency, and connectivity to renewable power generation compared to AC distribution systems. One of the important technical issues for commercialization of DC distribution system is safety. Since the DC system does not have a current zero point, unlike the AC system, a breaking arc accompanied by a high-temperature plasma is easily generated when the circuit is cut off. The arc can cause fire accidents that threaten people and facilities. In order to prevent customers and facilities from the accidents caused by the arc in the DC system, a study on the characteristics of the DC breaking arc is necessary. An important factor of characteristics for the DC breaking arc fault is an arc extinction distance at which the DC breaking arc... [more]
Use of Kane’s Method for Multi-Body Dynamic Modelling and Control of Spar-Type Floating Offshore Wind Turbines
Saptarshi Sarkar, Breiffni Fitzgerald.
March 8, 2023 (v1)
Keywords: control, flexible multi-body dynamics, floating offshore wind turbines, Kane’s method, tuned mass damper inerter.
This paper demonstrates the use of Kane’s method to derive equations of motion for a spar-type floating offshore wind turbine taking into account the flexibility of the members. The recently emerged Kane’s method reduces the effort required to derive equations of motion for complex multi-body systems, making them simpler to model and more readily solved by computers. Further, the installation procedure of external vibration control devices on the wind turbine using Kane’s method is described, and the ease of using this method has been demonstrated. A tuned mass damper inerter (TMDI) is installed in the tower for illustration. The excellent vibration mitigation properties of the TMDI are also presented in this paper.
Self-Learning Pipeline for Low-Energy Resource-Constrained Devices
Fouad Sakr, Riccardo Berta, Joseph Doyle, Alessandro De Gloria, Francesco Bellotti.
March 8, 2023 (v1)
Keywords: autonomous systems, decision tree, edge computing, k-NN, Machine Learning, on-device training, resource-constrained devices, self-learning, STM32 NUCLEO.
The trend of bringing machine learning (ML) to the Internet of Things (IoT) field devices is becoming ever more relevant, also reducing the overall energy need of the applications. ML models are usually trained in the cloud and then deployed on edge devices. Most IoT devices generate large amounts of unlabeled data, which are expensive and challenging to annotate. This paper introduces the self-learning autonomous edge learning and inferencing pipeline (AEP), deployable in a resource-constrained embedded system, which can be used for unsupervised local training and classification. AEP uses two complementary approaches: pseudo-label generation with a confidence measure using k-means clustering and periodic training of one of the supported classifiers, namely decision tree (DT) and k-nearest neighbor (k-NN), exploiting the pseudo-labels. We tested the proposed system on two IoT datasets. The AEP, running on the STM NUCLEO-H743ZI2 microcontroller, achieves comparable accuracy levels as sa... [more]
Methane/Ammonia Radical Formation during High Temperature Reactions in Swirl Burners
Marco Osvaldo Vigueras-Zúñiga, Maria Elena Tejeda-del-Cueto, Syed Mashruk, Marina Kovaleva, Cesar Leonardo Ordóñez-Romero, Agustin Valera-Medina.
March 8, 2023 (v1)
Keywords: ammonia, chemiluminescence, combustion, Computational Fluid Dynamics, Hydrogen, methane, radicals.
Recent studies have demonstrated that ammonia is an emerging energy vector for the distribution of hydrogen from stranded sources. However, there are still many unknown parameters that need to be understood before ammonia can be a substantial substitute in fuelling current power generation systems. Therefore, current attempts have mainly utilised ammonia as a substitute for natural gas (mainly composed of methane) to mitigate the carbon footprint of the latter. Co-firing of ammonia/methane is likely to occur in the transition of replacing carbonaceous fuels with zero-carbo options. Hence, a better understanding of the combustion performance, flame features, and radical formation of ammonia/methane blends is required to address the challenges that these fuel combinations will bring. This study involves an experimental approach in combination with numerical modelling to elucidate the changes in radical formation across ammonia/methane flames at various concentrations. Radicals such as OH... [more]
Aerodynamic Analysis of a Supersonic Transport Aircraft at Landing Speed Conditions
Andrea Aprovitola, Pasquale Emanuele Di Nuzzo, Giuseppe Pezzella, Antonio Viviani.
March 8, 2023 (v1)
Keywords: aerodynamics, delta-wing CFD, landing aerodynamics, SST vehicle, supersonic aircraft, vortex-lift.
Supersonic flight for commercial aviation is gaining a renewed interest, especially for business aviation, which demands the reduction of flight times for transcontinental routes. So far, the promise of civil supersonic flight has only been afforded by the Concorde and Tupolev T-144 aircraft. However, little or nothing can be found about the aerodynamics of these aeroshapes, the knowledge of which is extremely interesting to obtain before the development of the next-generation high-speed aircraft. Therefore, the present research effort aimed at filling in the lack of data on a Concorde-like aeroshape by focusing on evaluating the aerodynamics of a complete aircraft configuration under low-speed conditions, close to those of the approach and landing phase. In this framework, the present paper focuses on the CFD study of the longitudinal aerodynamics of a Concorde-like, tailless, delta-ogee wing seamlessly integrated onto a Sears−Haack body fuselage, suitable for civil transportation. Th... [more]
Numerical Simulation of Gas-Solid Two-Phase Erosion for Elbow and Tee Pipe in Gas Field
Bingyuan Hong, Yanbo Li, Xiaoping Li, Shuaipeng Ji, Yafeng Yu, Di Fan, Yating Qian, Jian Guo, Jing Gong.
March 8, 2023 (v1)
Keywords: Computational Fluid Dynamics, DPM, elbow erosion, tee pipe, two-phase flow.
Erosion caused by solid particles in a pipeline is one of the main problems endangering the safety production of the oil and gas industry, which may lead the equipment to malfunction or even fail. However, most of the previous studies focused on the standard elbow, and the erosion law of right-angle elbow and blind tee is rarely reported in the literature. This work aims to investigate the erosion law of different pipeline structures including 90° elbow, right-angle pipe, and tee pipe based on the production characteristics and engineering parameters of the gas field. An integrated CFD-DPM method is established including a realizable k-ε turbulence model, discrete phase model, and erosion rate prediction model. The accuracy of the model is evaluated by a series of experimental data of flow conditions of our previous work. Further, the erosion rate, pressure distributions, and particle trajectories in 90° elbow, right-angle pipe, and tee pipe under different flow velocities, particle ma... [more]
Biocrude Production from Hydrothermal Liquefaction of Chlorella: Thermodynamic Modelling and Reactor Design
Lili Qian, Jun Ni, Zhiyang Xu, Bin Yu, Shuang Wang, Heng Gu, Dong Xiang.
March 8, 2023 (v1)
Keywords: Aspen Plus, biocrude, critical diameter, hydrothermal liquefaction.
Hydrothermal liquefaction can directly and efficiently convert wet biomass into biocrude with a high heating value. We developed a continuous hydrothermal liquefaction model via Aspen Plus to explore the effects of moisture content of Chlorella, reaction pressure and temperature on thermodynamic equilibrium yields, and energy recoveries of biocrude. We also compared the simulated biocrude yield and energy recoveries with experiment values in literature. Furthermore, vertical and horizontal transportation characteristics of insoluble solids in Chlorella were analyzed to determine the critical diameters that could avoid the plugging of the reactor at different flow rates. The results showed that the optimum moisture content, reaction pressure, and reaction temperature were 70−90 wt%, 20 MPa, and 250−350 °C, respectively. At a thermodynamic equilibrium state, the yield and the energy recovery of biocrude could be higher than 56 wt% and 96%, respectively. When the capacity of the hydrother... [more]
Deep Learning-Based Adaptive Remedial Action Scheme with Security Margin for Renewable-Dominated Power Grids
Yinfeng Zhao, Shutang You, Mirka Mandich, Lin Zhu, Chengwen Zhang, Hongyu Li, Yu Su, Chujie Zeng, Yi Zhao, Yilu Liu, Huaiguang Jiang, Haoyu Yuan, Yingchen Zhang, Jin Tan.
March 8, 2023 (v1)
Keywords: adaptive capability, customized loss function, deep learning, Remedial Action Scheme (RAS), security margin.
The Remedial Action Scheme (RAS) is designed to take corrective actions after detecting predetermined conditions to maintain system transient stability in large interconnected power grids. However, since RAS is usually designed based on a few selected typical operating conditions, it is not optimal in operating conditions that are not considered in the offline design, especially under frequently and dramatically varying operating conditions due to the increasing integration of intermittent renewables. The deep learning-based RAS is proposed to enhance the adaptivity of RAS to varying operating conditions. During the training, a customized loss function is developed to penalize the negative loss and suggest corrective actions with a security margin to avoid triggering under-frequency and over-frequency relays. Simulation results of the reduced United States Western Interconnection system model demonstrate that the proposed deep learning−based RAS can provide optimal corrective actions f... [more]
Reducing the Power Consumption of the Electrodynamic Suspension Levitation System by Changing the Span of the Horizontal Magnet in the Halbach Array
Tomasz Kublin, Lech Grzesiak, Paweł Radziszewski, Marcin Nikoniuk, Łukasz Ordyszewski.
March 8, 2023 (v1)
Keywords: electrodynamic suspension (EDS), Halbach array, magnetic levitation, magnetic levitation trains (maglev), permanent magnet span.
In high-speed magnetic railways, it is necessary to create the forces that lift the train. This effect is achieved by using active (EMS) or passive (EDS) magnetic systems. In a passive system, suspension systems with permanent magnets arranged in a Halbach array can be used. In this paper, an original Halbach array with various alternately arranged horizontally and vertically magnetized magnets is proposed. Correctly selected geometry allows us to obtain higher values of levitation forces and lower braking forces in relation to a system with identical horizontally and vertically magnetized elements. The effect of such a shape of the magnetic arrangement is the reduction of instantaneous power consumption while traveling due to the occurrence of lower braking forces. In order to perform a comparative analysis of the various geometries of the Halbach array, a simulation model was developed in the ANSYS Maxwell program. The performed calculations made it possible to determine the optimal... [more]
Study on the Efficiency and Dynamic Characteristics of an Energy Harvester Based on Flexible Structure Galloping
Peng Liao, Jiyang Fu, Wenyong Ma, Yuan Cai, Yuncheng He.
March 8, 2023 (v1)
Keywords: computational fluid dynamics (CFD), energy harvester, galloping, numerical simulation.
According to the engineering phenomenon of the galloping of ice-coated transmission lines at certain wind speeds, this paper proposes a novel type of energy harvester based on the galloping of a flexible structure. It uses the tension generated by the galloping structure to cause periodic strain on the piezoelectric cantilever beam, which is highly efficient for converting wind energy into electricity. On this basis, a physical model of fluid−structure interaction is established, and the Reynolds-averaged Navier−Stokes equation and SST K -ω turbulent model based on ANSYS Fluent are used to carry out a two-dimensional steady computational fluid dynamics (CFD) numerical simulation. First, the CFD technology under different grid densities and time steps is verified. CFD numerical simulation technology is used to simulate the physical model of the energy harvester, and the effect of wind speed on the lateral displacement and aerodynamic force of the flexible structure is analyzed. In addit... [more]
Response of Drone Electronic Systems to a Standardized Lightning Pulse
Paweł Szczupak, Tomasz Kossowski.
March 8, 2023 (v1)
Keywords: computer simulations, drone electronics system, impulse generator, induced overvoltages, lightning, Modelling.
This paper presents the results of experimental tests of the impulse response of selected, essential components of a drone. A standardized lightning pulse that is often used during immunity tests of electronic devices in the aviation industry was applied. A single-stroke voltage impulse generator, MIG0618SS, was capable of producing the desired pulses. The input voltage was injected into selected electronic circuits of the drone system and pulses were observed in different parts of the machine. This allowed us to build a model based on the transmittance of the circuits most exposed to lightning overvoltages. The conducted tests were supported by impedance measurements carried out with an LCR-8110G meter. The obtained results made possible the development of a preliminary drone simulation model, allowing us to determine the size of the disturbances arising in individual circuits during nearby lightning. A discussion of the influence of close lightning discharges on expected induced over... [more]
Wind Flow Characterisation over a PV Module through URANS Simulations and Wind Tunnel Optical Flow Methods
Francesco Castellani, Abdelgalil Eltayesh, Francesco Natili, Tommaso Tocci, Matteo Becchetti, Lorenzo Capponi, Davide Astolfi, Gianluca Rossi.
March 8, 2023 (v1)
Keywords: aeroelasticity, Computational Fluid Dynamics, optical flow, photovoltaic, Renewable and Sustainable Energy, wind tunnel test.
Despite their simplicity, photovoltaic (PV) modules are often arranged in structures that can be affected by severe and complex wind loads: in this context, the wind flow and the dynamic excitation induced by vortex shedding can introduce unexpected aeroelastic responses. This work introduces a novel wind tunnel application of experimental techniques to address this issue by the use of flow visualisation and video postprocessing, through the optical flow algorithm. Numerical simulations based on unsteady Reynolds-averaged Navier−Stokes (RANS) models are performed and compared against the experimental wind tunnel tests on a PV panel that was also instrumented with pressure taps. A setup with a 65∘ tilt angle was examined because, based on preliminary analyses, it was considered interesting for the free flow−wake transition associated with the dynamic response of the PV panel. The comparison of the experimental and numerical average wind fields supported that the proposed optical flow me... [more]
Combustion of Fuel Surrogates: An Application to Gas Turbine Engines
Mansour Al Qubeissi, Nawar Al-Esawi, Hakan Serhad Soyhan.
March 8, 2023 (v1)
Keywords: combustion, Computational Fluid Dynamics, fuel, gas turbine, kerosene, numerical analysis.
The previously developed approaches for fuel droplet heating and evaporation processes, mainly using the Discrete Multi Component Model (DMCM), are investigated for the aerodynamic combustion simulation. The models have been recently improved and generalised for a broad range of bio-fossil fuel blends so that the application areas are broadened with an increased accuracy. The main distinctive features of these models are that they consider the impacts of species’ thermal conductivities and diffusivities within the droplets in order to account for the temperature gradient, transient diffusion of species and recirculation. A formulation of fuel surrogates is made using the recently introduced model, referred to as “Complex Fuel Surrogate Model (CFSM)”, and analysing their heating, evaporation and combustion characteristics. The CFSM is aimed to reduce the full composition of fuel to a much smaller number of components based on their mass fractions, and to formulate fuel surrogates. Such... [more]
Reliability-Oriented Design of a Solar-PV Deployments
Paweł Kut, Katarzyna Pietrucha-Urbanik, Barbara Tchórzewska-Cieślak.
March 8, 2023 (v1)
Keywords: design, Energy, failure, numerical, simulations.
Increasing restrictions on the emission of greenhouse gases by the standards and the European Union’s policy aims at increasing the share of renewable energy sources in the energy mix of the Member States. Subsequently, we observe a rapid increase in the installed capacity of the renewable energy sources. Renewable energy sources are currently the fastest growing sectors of energy generation, specifically the photovoltaic sector. In 2005, the total installed capacity in photovoltaic installations in the European Union was about 2.17 GW, while in 2019 it was already over 130 GW. Currently, due to many forms of incentive governmental measures the construction of photovoltaic installations is rapidly increasing with installations mounted on private houses and buildings. The article presents selected issues concerning the failure modes of photovoltaic installations and a comparative assessment of the estimated and the real measured electrical production of an operational photovoltaic insta... [more]
Base Oil Process Modelling Using Machine Learning
Muhamad Amir Mohd Fadzil, Haslinda Zabiri, Adi Aizat Razali, Jamali Basar, Mohammad Syamzari Rafeen.
March 8, 2023 (v1)
Keywords: base oil, decision tree, Machine Learning, random forest, SVR, XGBoost.
The quality of feedstock used in base oil processing depends on the source of the crude oil. Moreover, the refinery is fed with various blends of crude oil to meet the demand of the refining products. These circumstances have caused changes of quality of the feedstock for the base oil production. Often the feedstock properties deviate from the original properties measured during the process design phase. To recalculate and remodel using first principal approaches requires significant costs due to the detailed material characterizations and several pilot-plant runs requirements. To perform all material characterization and pilot plant runs every time the refinery receives a different blend of crude oil will simply multiply the costs. Due to economic reasons, only selected lab characterizations are performed, and the base oil processing plant is operated reactively based on the feedback of the lab analysis of the base oil product. However, this reactive method leads to loss in production... [more]
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