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Showing records 9217 to 9241 of 43292. [First] Page: 1 366 367 368 369 370 371 372 373 374 Last
Characterization of Pore Structures and Implications for Flow Transport Property of Tight Reservoirs: A Case Study of the Lucaogou Formation, Jimsar Sag, Junggar Basin, Northwestern China
Yang Su, Ming Zha, Keyu Liu, Xiujian Ding, Jiangxiu Qu, Jiehua Jin
April 14, 2023 (v1)
Subject: Materials
Keywords: digital core analysis, pore microstructure, tight reservoir, transport property
Quantitate characterization of pore structures is fundamental to elucidate fluid flow in the porous media. Pore structures of the Lucaogou Formation in the Jimsar Sag were investigated using petrography, mercury intrusion capillary porosimetry (MICP) and X-ray computed tomography (X-ray μ-CT). MICP analyses demonstrate that the pore topological structure is characterized by segmented fractal dimensions. Fractal dimension of small pores (r < Rapex) ranges from 2.05 to 2.37, whereas fractal dimension of large pores (r > Rapex) varies from 2.91 to 5.44, indicating that fractal theory is inappropriate for the topological characterization of large pores using MICP. Pore volume of tight reservoirs ranges over nine orders of magnitude (10−1−108 μm3), which follows a power-law distribution. Fractal dimensions of pores larger than a lower bound vary from 1.66 to 2.32. Their consistence with MICP results suggests that it is an appropriate indicator for the complex and heterogeneous pore network.... [more]
Effect of Pore Shape and Spacing on Water Droplet Dynamics in Flow Channels of Proton Exchange Membrane Fuel Cells
Mengying Fan, Fengyun Duan, Tianqi Wang, Mingming Kang, Bin Zeng, Jian Xu, Ryan Anderson, Wei Du, Lifeng Zhang
April 14, 2023 (v1)
Keywords: droplet dynamics, Proton Exchange Membrane Fuel Cells, two-phase flow, VOF model, water management
Effective water management increases the performance of proton exchange membrane fuel cells (PEMFCs). The liquid droplet movement mechanism in the cathode channel, the gas-liquid two-phase flow pattern, and the resulting pressure drop are important to water management in PEMFCs. This work employed computational fluid dynamics (CFD) with a volume of fluid (VOF) to simulate the effects of two operating parameters on the liquid water flow in the cathode flow channel: Gas diffusion layer (GDL) pore shape for water emergence, and distance between GDL pores. From seven pore shapes considered in this work, the longer the windward side of the micropore is, the larger the droplet can grow, and the duration of droplet growth movement will be longer. In the cases of two micropores for water introduction, a critical pore distance is noted for whether two droplets coalesce. When the micropore distance was shorter than this critical value, different droplets coalesce after the droplets grew to a cer... [more]
Adaptive Global Sliding Mode Controller Design for Perturbed DC-DC Buck Converters
Saleh Mobayen, Farhad Bayat, Chun-Chi Lai, Asghar Taheri, Afef Fekih
April 14, 2023 (v1)
Keywords: adaptive controller, DC-DC buck converter, global sliding mode control, lyapunov stability, switching surface
This paper proposes a novel adaptive intelligent global sliding mode control for the tracking control of a DC-DC buck converter with time-varying uncertainties/disturbances. The proposed control law is formulated using a switching surface that eliminates the reaching phase and ensures the existence of the sliding action from the start. The control law is derived based on the Lyapunov stability theory. The effectiveness of the proposed approach is illustrated via high-fidelity simulations by means of Simscape simulation environment in MATLAB. Satisfactory tracking accuracy, efficient suppression of the chattering phenomenon in the control input, and high robustness against uncertainties/disturbances are among the attributes of the proposed control approach.
Temperature, Ageing and Thermal Management of Lithium-Ion Batteries
Lena Spitthoff, Paul R. Shearing, Odne Stokke Burheim
April 14, 2023 (v1)
Keywords: battery ageing, degradation, lithium-ion batteries, temperature control, thermal management
Heat generation and therefore thermal transport plays a critical role in ensuring performance, ageing and safety for lithium-ion batteries (LIB). Increased battery temperature is the most important ageing accelerator. Understanding and managing temperature and ageing for batteries in operation is thus a multiscale challenge, ranging from the micro/nanoscale within the single material layers to large, integrated LIB packs. This paper includes an extended literature survey of experimental studies on commercial cells investigating the capacity and performance degradation of LIB. It compares the degradation behavior in terms of the influence of operating conditions for different chemistries and cell sizes. A simple thermal model for linking some of these parameters together is presented as well. While the temperature appears to have a large impact on ageing acceleration above room temperature during cycling for all studied cells, the effect of SOC and C rate appear to be rather cell depend... [more]
Attenuation of Zero Sequence Voltage Using a Conventional Three-Wire Dynamic Voltage Restorer
Rafael Neto, Yandi Landera, Francisco Neves, Helber de Souza, Marcelo Cavalcanti, Gustavo Azevedo
April 14, 2023 (v1)
Keywords: dynamic voltage restorer, power quality, voltage sags/swells, zero sequence attenuation
Voltage sags/swells and harmonics are recurring problems in electric energy distribution systems. In order to solve these issues, several dynamic voltage restorer (DVR) topologies, such as the conventional three-wire DVR, have been proposed in the literature. Despite its capability of mitigating voltage disturbances, many researchers have established that conventional three-wire DVR cannot compensate for zero sequence voltage disturbances. In this paper, an in-depth study of the conventional three-phase DVR is presented, which shows that this DVR topology can also be used to attenuate zero sequence voltage components without increasing control complexity. The necessary conditions for this to occur are discussed in details and a brief comparison between the conventional three-wire DVR and other DVR topologies that can compensate for zero sequence voltage disturbances is made. Experimental results are included to validate the theoretical study.
Producing Energy-Rich Microalgae Biomass for Liquid Biofuels: Influence of Strain Selection and Culture Conditions
Vladimir Heredia, Olivier Gonçalves, Luc Marchal, Jeremy Pruvost
April 14, 2023 (v1)
Keywords: biodiesel, bioethanol, Biofuels, Biomass, energy content, microalgae, renewable energies
Energy-storage metabolites such as neutral lipids and carbohydrates are valuable compounds for liquid biofuel production. The aim of this work is to elucidate the main biological responses of two algae species known for their effective energy-rich compound accumulation in nitrogen limitation and day−night cycles: Nannochloropsis gaditana, a seawater species, and Parachlorella kessleri, a freshwater species. Lipid and carbohydrate production are investigated, as well as cell resistance to mechanical disruption for energy-rich compound release. Nitrogen-depleted N. gaditana showed only a low consumption of energy-storage molecules with a non-significant preference for neutral lipids (TAG) and carbohydrates in day−night cycles. However, it did accumulate significantly fewer carbohydrates than P. kessleri. Following this, the highest levels of productivity for N. gaditana in chemostat cultures at four levels of nitrogen limitation were found to be 3.4 and 2.2 × 10−3 kg/m2·d for carbohydrat... [more]
Multi-Objective Optimization of a Hybrid Nanogrid/Microgrid: Application to Desert Camps in Hafr Al-Batin
Houssem Rafik Al-Hana Bouchekara, Mohammad Shoaib Shahriar, Muhammad Sharjeel Javaid, Yusuf Abubakar Sha’aban, Makbul Anwari Muhammad Ramli
April 14, 2023 (v1)
Keywords: desert camps, diesel generator, microgrid, multi-objective evolutionary algorithm, multi-objective optimization, nanogrid, solar energy
This paper presents an optimal design for a nanogrid/microgrid for desert camps in the city of Hafr Al-Batin in Saudi Arabia. The camps were designed to operate as separate nanogrids or to operate as an interconnected microgrid. The hybrid nanogrid/microgrid considered in this paper consists of a solar system, storage batteries, diesel generators, inverter, and load components. To offer the designer/operator various choices, the problem was formulated as a multi-objective optimization problem considering two objective functions, namely: the cost of electricity (COE) and the loss of power supply probability (LPSP). Furthermore, various component models were implemented, which offer a variety of equipment compilation possibilities. The formulated problem was then solved using the multi-objective evolutionary algorithm, based on both dominance and decomposition (MOEA/DD). Two cases were investigated corresponding to the two proposed modes of operation, i.e., nanogrid operation mode and mi... [more]
A Stochastic Planning Model for Battery Energy Storage Systems Coupled with Utility-Scale Solar Photovoltaics
Heejung Park
April 14, 2023 (v1)
Keywords: power system planning, power system simulation, Renewable and Sustainable Energy, solar PV, Stochastic Optimization, utility-scale energy storage
With recent technology advances and price drop, battery energy storage systems (BESSs) are considered as a promising storage technology in power systems. In this paper, a stochastic BESS planning model is introduced, which determines optimal capacity and durations of BESSs to co-locate utility-scale solar photovoltaic (PV) systems in a high-voltage power system under the uncertainties of renewable resources and electric load. The optimization model minimizing total costs aims to obtain at least 20% electric energy from renewable sources, while satisfying all the physical constraints. Furthermore, two-stage stochastic programming is applied to formulate mathematical optimization problem to find out optimal durations and capacity of BESSs. In scheduling BESSs, chronology needs to be considered to represent temporal changes of BESS states; therefore, a scenario generation method to generate random sample paths with 1-h time step is adopted to explicitly represent uncertainty and temporal... [more]
Research and Solutions to Minimize Frontal Area Overheating of Hydro Generator Stator with Vertical Axis
Victorita Radulescu
April 14, 2023 (v1)
Keywords: condition monitoring and diagnostics, electric machines, power engineering computing, power generation control, power system analysis computing, stators, turbine
About ten hydroelectric power plants realized from 1970 to 1990 in Romania are confronted with stator overheating. The developed mathematical model analyzes the voltage stability based on modal analysis of the Jacobian matrix, identifying the hazardous modes of variation between voltage and flow rate, correlated with the characteristics of the analyzed generators and their response to these variations. Vulnerable elements in the system for inductive and capacitive modes of operation are identified. In these conditions, hydro generators cannot attend the secondary voltage control, not even for a frequency power dependency control. The elaborated mathematical model was tested at the hydroelectric power plants Gilceag, Mariselu, and Susag with similar functioning conditions. The necessary conditions for stator ventilation and variation of flow hydrodynamic parameters during the operation were established. The theoretical model was tested with an experimental method applied separately for... [more]
AC Magnetic Loss Reduction of SLM Processed Fe-Si for Additive Manufacturing of Electrical Machines
Hans Tiismus, Ants Kallaste, Anouar Belahcen, Marek Tarraste, Toomas Vaimann, Anton Rassõlkin, Bilal Asad, Payam Shams Ghahfarokhi
April 14, 2023 (v1)
Subject: Materials
Keywords: additive manufacturing, electric machines, iron losses, magnetic properties, selective laser melting, soft magnetic materials
Additively manufactured soft magnetic Fe-3.7%w.t.Si toroidal samples with solid and novel partitioned cross-sectional geometries are characterized through magnetic measurements. This study focuses on the effect of air gaps and annealing temperature on AC core losses at the 50 Hz frequency. In addition, DC electromagnetic material properties are presented, showing comparable results to conventional and other 3D-printed, high-grade, soft magnetic materials. The magnetization of 1.5 T was achieved at 1800 A/m, exhibiting a maximum relative permeability of 28,900 and hysteresis losses of 0.61 (1 T) and 1.7 (1.5 T) W/kg. A clear trend of total core loss reduction at 50 Hz was observed in relation to the segregation of the specimen cross-sectional topology. The lowest 50 Hz total core losses were measured for the toroidal specimen with four internal air gaps annealed at 1200 °C, exhibiting a total core loss of 1.2 (1 T) and 5.5 (1.5 T) W/kg. This is equal to an 860% total core loss reduction... [more]
A Virtual Power Plant Solution for Aggregating Photovoltaic Systems and Other Distributed Energy Resources for Northern European Primary Frequency Reserves
Rakshith Subramanya, Matti Yli-Ojanperä, Seppo Sierla, Taneli Hölttä, Jori Valtakari, Valeriy Vyatkin
April 14, 2023 (v1)
Keywords: application programming interface, demand response, forecasting, frequency containment reserve, Machine Learning, neural network, primary frequency reserve, solar power, virtual power plant
Primary frequency reserves in Northern Europe have traditionally been provided with hydro plants and fossil fuel-burning spinning reserves. Recently, smart distributed energy resources have been equipped with functionality needed to participate on frequency reserves. Key categories of such resources include photovoltaic systems, batteries, and smart loads. Most of these resources are small and cannot provide the minimum controllable power required to participate on frequency reserves. Thus, virtual power plants have been used to aggregate the resources and trade them on the frequency reserves markets. The information technology aspects of virtual power plants are proprietary and many of the details have not been made public. The first contribution of this article is to propose a generic data model and application programming interface for a virtual power plant with the above-mentioned capabilities. The second contribution is to use the application programming interface to cope with the... [more]
Analysis of Financial Problems of Wind Farms in Poland
Joanna Wyrobek, Łukasz Popławski, Maria Dzikuć
April 14, 2023 (v1)
Keywords: Poland, wind energy, wind farm performance
Wind energy has been operating in Poland for over 20 years, but many opinions on its profitability are based on publications from other countries and simulations prepared by manufacturers. However, the truth is that the climatic specificity of various countries and price relationships, especially energy prices and subsidies, significantly differentiate this profitability depending on the country. The publication aimed to look at the profitability of wind farms in Poland from three perspectives: financial analysis, NPV (Net Present Value) calculation for older wind farms (2006−2014), and break-even price of energy for these farms (for a non-negative NPV). The research hypothesis set out in the publication stated that wind farms from this period require higher energy prices than current market prices in Poland to achieve a return on invested capital. An element of novelty was calculating the energy price range that would provide an opportunity for at least some of the older farms operati... [more]
Experimental Study of Transient Flow Regimes in a Model Hydroturbine Draft Tube
Ivan Litvinov, Daniil Suslov, Evgeny Gorelikov, Sergey Shtork
April 14, 2023 (v1)
Keywords: acoustic sensors, draft tube, laser-Doppler anemometer, phase (conditional) averaging, precessing vortex core, transient regime
Swirling flow with the formation of a precessing vortex core (PVC) in the draft tube model of a hydroturbine was studied. Experiments were performed on an aerodynamic setup under transient operating conditions of the hydroturbine. The turbine operating conditions were varied by continuously changing the flow rate at a constant runner speed. The transition from the partial load regime, when a precessing vortex core is formed, to the best efficiency point without a core is considered. Applied to this task, a comparison of the windowed Fourier transform with wavelet analysis is given. The dependence of the PVC lifetime in the transient regime correlates with the transient time. It is shown that the velocity profiles and the spectrum of pressure pulsations in transient regimes change quasistatically between part-load operation and the best efficiency point of the turbine. The phase-averaged velocity distributions in the transient regimes show that a transient regime is a sequence of quasis... [more]
High-Accuracy Power Quality Disturbance Classification Using the Adaptive ABC-PSO as Optimal Feature Selection Algorithm
Supanat Chamchuen, Apirat Siritaratiwat, Pradit Fuangfoo, Puripong Suthisopapan, Pirat Khunkitti
April 14, 2023 (v1)
Keywords: artificial bee colony, optimal feature selection, Particle Swarm Optimization, power quality disturbance classification, probabilistic neural network
Power quality disturbance (PQD) is an important issue in electrical distribution systems that needs to be detected promptly and identified to prevent the degradation of system reliability. This work proposes a PQD classification using a novel algorithm, comprised of the artificial bee colony (ABC) and the particle swarm optimization (PSO) algorithms, called “adaptive ABC-PSO” as the feature selection algorithm. The proposed adaptive technique is applied to a combination of ABC and PSO algorithms, and then used as the feature selection algorithm. A discrete wavelet transform is used as the feature extraction method, and a probabilistic neural network is used as the classifier. We found that the highest classification accuracy (99.31%) could be achieved through nine optimally selected features out of all 72 extracted features. Moreover, the proposed PQD classification system demonstrated high performance in a noisy environment, as well as the real distribution system. When comparing the... [more]
Research on the Transmission of Stresses by Roof Cutting near Gob Rocks
Zhibiao Guo, Haohao Wang, Zimin Ma, Pengfei Wang, Xiaohui Kuai, Xianzhe Zhang
April 14, 2023 (v1)
Keywords: constant resistant and large deformation anchor cable, gob-side entry retaining by roof cutting, roadside support, stress transfer
Pressure relief for roadways retained by roof cutting is essentially caused by stress transfer. In this paper, the stress transfer mechanism of 16011 tail entry with roof cutting in Zhaogu No.1 coal mine is studied from the following two aspects: the change of the tail entry surrounding the rock structure and the interaction between the roadway surrounding rock and supporting structures. It is found by numerical simulation that roof cutting can significantly reduce the magnitude of roadway roof stress, transferring the concentrated stress induced by excavation and mining away from the roadway, and forming an obvious triangle pressure relief area in front of the working face. In the early stage after mining, most of the overburden load is transferred downward through the immediate roof of the roadway. With the movement of overlying strata, the stress, initially transferred to the immediate roof strata, is gradually transferred to the gob, and the calculation formula and influence factor... [more]
Dielectric and AC Breakdown Properties of SiO2/MMT/LDPE Micro−Nano Composites
Hongtao Jiang, Xiaohong Zhang, Junguo Gao, Ning Guo
April 14, 2023 (v1)
Subject: Materials
Keywords: AC breakdown strength, adding order, dielectric properties, micro and nanoparticles
Low-density polyethylene (LDPE) is an important thermoplastic material which can be made into films, containers, wires, cables, etc. It is highly valued in the fields of packaging, medicine, and health, as well as cables. The method of improving the dielectric property of materials by blending LDPE with inorganic particles as filler has been paid much attention by researchers. In this paper, low-density polyethylene is used as the matrix, and montmorillonite (MMT) particles and silica (SiO2) particles are selected as micro and nano fillers, respectively. In changing the order of adding two kinds of particles, a total of five composite materials were prepared. The crystallization behavior and crystallinity of five kinds of composites were observed, the εr and tanδ changes of each material were investigated with frequency and temperature, and the power frequency (50 Hz) AC breakdown performance of materials were measured. The differential scanning calorimetry (DSC) and X-ray diffraction... [more]
Computer Technologies of 3D Modeling by Combustion Processes to Create Effective Methods of Burning Solid Fuel and Reduce Harmful Dust and Gas Emissions into the Atmosphere
Aliya Askarova, Saltanat Bolegenova, Valeriy Maximov, Symbat Bolegenova, Nariman Askarov, Aizhan Nugymanova
April 14, 2023 (v1)
Keywords: aerodynamics, carbon and nitrogen oxides, computer technology 3-D modeling, high-ash coal, temperature, thermal power engineering, two-stage combustion
Using numerical methods, studies have been carried out to determine the effect of the introduction of the technology of two-stage combustion of high-ash Karaganda coal on the main characteristics of heat and mass transfer processes in the furnace of the BKZ-75 boiler at Shakhtinskaya TPP (Kazakhstan). Various regimes of supplying additional air into the combustion space, the volume of which varied from 0% (traditional basic version) to 30% of the total volume of air required for fuel combustion, have been investigated using 3D computer modeling methods. The performed computational experiments made it possible to obtain the distributions of the total velocity vector, temperature fields, concentration fields of carbon monoxide CO and nitrogen dioxide NO2 over the entire volume of the furnace and at the outlet from it. The introduction of the two-stage combustion technology made it possible to optimize the combustion of high-ash coal, since in this case there is an increase in the tempera... [more]
Improvement of Self-Predictive Incremental Conductance Algorithm with the Ability to Detect Dynamic Conditions
Sanaz Jalali Zand, Kuo-Hsien Hsia, Naser Eskandarian, Saleh Mobayen
April 14, 2023 (v1)
Keywords: incremental conductance (InC), maximum power point (MPP), maximum power point tracking (MPPT), O), perturb and observe (P&amp, self-predictive incremental conductance (SPInC)
This paper presents a new version of the incremental conductance algorithm for more accurate tracking of the maximum power point (MPP). The modified algorithm is called self-predictive incremental conductance (SPInC), and it recognizes the operational region. It is capable of detecting dynamic conditions, and it detects sudden changes in power resulting from changes in the intensity of radiation or temperature. By selecting the appropriate step size, it obtains maximum power from the panel at any moment. The improved algorithm reduces output power ripple and increases the efficiency of the system by detecting the operating area and selecting the appropriate step size for each region. The SPInC algorithm divides the system’s work areas into three operating zones. It calculates the size of the appropriate step changes for each region after identifying the regions, which allows for more accurate tracking of the MPP and increases the system efficiency at a speed equal to the speed of the c... [more]
Numerical Study toward Optimization of Spray Drying in a Novel Radial Multizone Dryer
Umair Jamil Ur Rahman, Artur Krzysztof Pozarlik, Thomas Tourneur, Axel de Broqueville, Juray De Wilde, Gerrit Brem
April 14, 2023 (v1)
Keywords: Computational Fluid Dynamics, Eulerian–Lagrangian, high-G acceleration, Process Intensification, Radial Multizone Dryer, spray drying, vortex chamber
In this paper, an intensified spray-drying process in a novel Radial Multizone Dryer (RMD) is analyzed by means of CFD. A three-dimensional Eulerian−Lagrangian multiphase model is applied to investigate the effect of solids outlet location, relative hot/cold airflow ratio, and droplet size on heat and mass transfer characteristics, G-acceleration, residence time, and separation efficiency of the product. The results indicate that the temperature pattern in the dryer is dependent on the solids outlet location. A stable, symmetric spray behavior with maximum evaporation in the hot zone is observed when the solids outlet is placed at the periphery of the vortex chamber. The maximum product separation efficiency (85 wt %) is obtained by applying high G-acceleration (at relative hot/cold ratio of 0.75) and narrow droplet size distribution (45−70 µm). The separation of different sized particles with distinct drying times is also observed. Smaller particles (<32 µm) leave the reactor via t... [more]
Mathematical Modeling of the Coaxial Quadrotor Dynamics for Its Attitude and Altitude Control
Wojciech Giernacki, Jarosław Gośliński, Jagoda Goślińska, Tadeo Espinoza-Fraire, Jinjun Rao
April 14, 2023 (v1)
Keywords: coaxial quadrotor, drag-like effects, UAV model, unmanned aerial vehicle
In this paper, an easily implementable coaxial quadrotor model and its validation on data from a real unmanned aerial vehicle (UAV), are presented. The proposed mathematical model consists of two parts: description of orientation and position of the UAV in the three-dimensional space. It takes into consideration the gyroscopic effect, influence of the Coriolis force, viscous friction and a several drag-like effects (blade flapping, rotor drag, translational drag and profile drag). In contrast to multirotor models available in the literature, this one is characterized by complementarity in relation to the available control techniques. Depending on selection of these techniques, the model can be narrowed (simplified) to meet the needs without the loss of behaviour adequacy to a real UAV.
Identification of the Effects of Fire-Wave Propagation through the Power Unit’s Boiler Island
Michał Paduchowicz, Artur Górski
April 14, 2023 (v1)
Keywords: damage assessment, fires, power boilers, Tanks, the load-bearing structures
The article presents the results obtained during the inspection of the load-bearing structure of a power unit that suffered from fire. The inspection, consisting in the assessment of both the structure’s technical condition and durability of welded joints, was performed on seven height levels of the power unit. The vibration spectrum of the unit’s steel structure was analyzed, and frequency characteristics were, thus, obtained for individual measurement levels. Thermal vision measurements were also performed in the unit’s all connection points to check for possible unsealing of some elements in the boiler island of the inspected power unit. The next stage consisted of performing strength calculations of the steel structure with a goal to estimate the structure’s stress state. The conclusions contain suggestions for modernization of welded joints in order to maintain the power unit’s design strength.
Monoclinic and Orthorhombic NaMnO2 for Secondary Batteries: A Comparative Study
Jessica Manzi, Annalisa Paolone, Oriele Palumbo, Domenico Corona, Arianna Massaro, Rossana Cavaliere, Ana Belén Muñoz-García, Francesco Trequattrini, Michele Pavone, Sergio Brutti
April 14, 2023 (v1)
Keywords: NaMnO2, polymorphs, sodium batteries, vibrational spectroscopy, X-ray diffraction
In this manuscript, we report a detailed physico-chemical comparison between the α- and β-polymorphs of the NaMnO2 compound, a promising material for application in positive electrodes for secondary aprotic sodium batteries. In particular, the structure and vibrational properties, as well as electrochemical performance in sodium batteries, are compared to highlight differences and similarities. We exploit both laboratory techniques (Raman spectroscopy, electrochemical methods) and synchrotron radiation experiments (Fast-Fourier Transform Infrared spectroscopy, and X-ray diffraction). Notably the vibrational spectra of these phases are here reported for the first time in the literature as well as the detailed structural analysis from diffraction data. DFT+U calculations predict both phases to have similar electronic features, with structural parameters consistent with the experimental counterparts. The experimental evidence of antisite defects in the beta-phase between sodium and mangan... [more]
Generic Feasibility Assessment: Helping to Choose the Nuclear Piece of the Net Zero Jigsaw
William Bodel, Kevin Hesketh, Grace McGlynn, Juan Matthews, Gregg Butler
April 14, 2023 (v1)
Subject: Energy Policy
Keywords: choice, net zero, Nuclear, policy, reactor
The United Kingdom has declared a climate change policy of 100% reduction in carbon dioxide emissions by 2050. Efforts thus far have been limited solely to electricity generation methods. While progress has been admirable, effort now must be directed at the nation’s non-electrical energy use. Nuclear energy is an essential part of any energy future, since it is low-carbon, firm and supplies synchronous electricity; however the nation’s nuclear strategy to date has been erratic, costly and lacking in strategic oversight. A multitude of reactor designs are on offer for potential uptake, and decision-makers must have clarity of vision on what these systems must deliver before forming a strategy. Choosing between these systems, given the uncharted energy future faced by the UK is a daunting prospect. Generic feasibility assessment offers a tool for decision-makers to assist them in selecting the most suitable nuclear system for chosen future conditions. Generic feasibility assessment offer... [more]
Model for Predicting the Operating Temperature of Stratospheric Airship Solar Cells with a Support Vector Machine
Xuwei Wang, Zhaojie Li, Yanlei Zhang
April 14, 2023 (v1)
Subject: Optimization
Keywords: operating temperature, particle swarm algorithm, solar cell module, stratospheric airship, support vector machine
The stratospheric airship is a kind of aircraft that completely relies on the cycle of photovoltaic energy systems to achieve long duration flight. The accurate estimation of the operating temperature of solar cell modules on stratospheric airship is extremely important for the design of photovoltaics system (PV system), the output power calculation of PV system, and the calculation of energy balance. However, the related study has been rarely reported. A support vector machine prediction method based on particle swarm optimization algorithm (PSO-SVM) was established to predict the operating temperature of solar cell modules on stratospheric airship. The PSO algorithm was used to dynamically optimize the SVM’s parameters between the operating temperature of the solar cell modules and the measured data such as atmospheric pressure, solar radiation intensity, flight speed, and ambient temperature. The operating temperature data of the two sets of solar cell modules measured in the flight... [more]
Construction of Operational Data-Driven Power Curve of a Generator by Industry 4.0 Data Analytics
Waqar Muhammad Ashraf, Ghulam Moeen Uddin, Muhammad Farooq, Fahid Riaz, Hassan Afroze Ahmad, Ahmad Hassan Kamal, Saqib Anwar, Ahmed M. El-Sherbeeny, Muhammad Haider Khan, Noman Hafeez, Arman Ali, Abdul Samee, Muhammad Ahmad Naeem, Ahsaan Jamil, Hafiz Ali Hassan, Muhammad Muneeb, Ijaz Ahmad Chaudhary, Marcin Sosnowski, Jaroslaw Krzywanski
April 14, 2023 (v1)
Keywords: ANN, AutoML, generator power, Industry 4.0, modeling techniques, operation control
Constructing the power curve of a power generation facility integrated with complex and large-scale industrial processes is a difficult task but can be accomplished using Industry 4.0 data analytics tools. This research attempts to construct the data-driven power curve of the generator installed at a 660 MW power plant by incorporating artificial intelligence (AI)-based modeling tools. The power produced from the generator is modeled by an artificial neural network (ANN)—a reliable data analytical technique of deep learning. Similarly, the R2.ai application, which belongs to the automated machine learning (AutoML) platform, is employed to show the alternative modeling methods in using the AI approach. Comparatively, the ANN performed well in the external validation test and was deployed to construct the generator’s power curve. Monte Carlo experiments comprising the power plant’s thermo-electric operating parameters and the Gaussian noise are simulated with the ANN, and thus the power... [more]
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