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Records Added in March 2023
Records added in March 2023
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Showing records 11919 to 11943 of 12968. [First] Page: 1 474 475 476 477 478 479 480 481 482 Last
Molecular Simulation Study and Analytical Model for Oil−Water Two-Phase Fluid Transport in Shale Inorganic Nanopores
Wei Zhang, Qihong Feng, Sen Wang, Xianmin Zhang, Jiyuan Zhang, Xiaopeng Cao
March 1, 2023 (v1)
Keywords: mathematical model, molecular simulation, oil–water two-phase flow, shale nanopore
Shale reservoirs contain omnipresent nanopores. The fluid transport phenomena on the nanoscale are significantly different from that on the macroscale. The understandings of fluid transport behavior, especially multiphase flow, are still ambiguous on the nanoscale and the traditional hydrodynamic models are insufficient to describe the fluid flow in shale. In this work, we firstly use a molecular dynamics simulation to study the oil−water two-phase flow in shale inorganic quartz nanopores and investigated the unique interfacial phenomena and their influences on fluid transport in a confined nanospace. The results of the molecular simulation revealed that the water-oil-water layered structure was formed in quartz nanopores. There is no-slip boundary condition between water and quartz surface. The density dip and the extremely low apparent viscosity of the oil−water interface region were observed. The liquid−liquid slip effect happened at the oil−water interface. Based on the nano-effect... [more]
Organic Petrological Characteristics of Graptolite and Its Contribution to Buried Organic Carbon of Longmaxi Formation Shales, Middle Yangtze Region
Wenhao Li, Xiuzhe Wang, Min Wang, Erqiang Yang
March 1, 2023 (v1)
Keywords: buried organic carbon, graptolite, hydrocarbon generation organism, Longmaxi Formation, maceral
The shale gas exploration of the Longmaxi Formation in the Yangtze Region of China has made a significant breakthrough. As an important hydrocarbon generation organism, graptolite is widely distributed in the Longmaxi Formation shales, but its hydrocarbon potential is still unclear. Taking the Longmaxi Formation shales in the Middle Yangtze Region as an example, this paper discusses the organic petrological characteristics of graptolite and its contribution to buried organic carbon. The Longmaxi shales in the study area can be divided into organic-rich shales (TOC > 2.0%) and organic-bearing shales (TOC < 2.0%). The organic-rich shales have high quartz content and low clay mineral content, which is opposite in the organic-bearing shales. Organic maceral results show that graptolite is widely distributed in nearly all the samples, while solid bitumen is relatively developed in organic-rich shale. The equivalent vitrinite reflectance obtained from the conversion of graptolite reflecta... [more]
Overpressure: Origin, Prediction, and Its Impact in the Xihu Sag, Eastern China Sea
Li Wang, Ruizhao Yang, Zhipeng Sun, Lingda Wang, Jialiang Guo, Ming Chen
March 1, 2023 (v1)
Keywords: East China Sea Basin, overpressure, pore pressure prediction, porosity preserving, Xihu Sag
The complex relationship between deep overpressure, abnormal porosity, and hydrocarbon generation in the Pinghu Formation is interesting and challenging for hydrocarbon exploration and development in the East China Sea Shelf Basin. It shows three-stage pore pressure evolution based on the characteristics of logs in the west slope of the Xihu Sag. Disequilibrium compaction was identified as the dominant overpressure mechanism in stage II (1.0 < PC < 1.6). The fluid expansion was identified as the predominant mechanism of overpressure generation in stage III (PC > 1.6), and tectonic compression occurs in Well B. Pore pressure was predicated by the Fillippone method based on the combination of raw velocity spectra and high-resolution velocity parameters obtained by seismic inversion. The overpressure at the bottom of the Pinghu Formation is mainly distributed in the F2 and F3 fault blocks. The deep gas reservoir of the Pinghu Formation is controlled by both lithology and pressure. The... [more]
Integrating Smart Grid Devices into the Traditional Protection of Distribution Networks
Bruno Silva Torres, Luiz Eduardo Borges da Silva, Camila Paes Salomon, Carlos Henrique Valério de Moraes
March 1, 2023 (v1)
Keywords: contingencies, IED, intelligent agents, multiagent systems, power distribution, rule-based system, smart grids, traditional urban protection
Smart grids are a reality in distribution systems. They have assisted in the operation, control, and most of all, the protection of urban networks, significantly solving the contingencies of these networks. This paper treats the initial stage of implementing smart grid switching devices in distribution networks. In this stage, smart grid technologies need to operate with the traditional protection elements (such as fuses, reclosers, and sectionalizers). This fact can create trouble in the protection schemes because there are two distinctive philosophies. In some companies, especially those without substantial capital, these two protection philosophies can run together for many years. The most popular intelligent electronic devices (IEDs) available in the market are studied to verify their features and the possibility to incorporate techniques to allow the two philosophies to work together. After that, the proposed approach shows how the existing IEDs can interact with the traditional d... [more]
Thermal Stability Calculation and Experimental Investigation of Common Binary Chloride Molten Salts Applied in Concentrating Solar Power Plants
Jingyu Zhong, Jing Ding, Jianfeng Lu, Xiaolan Wei, Weilong Wang
March 1, 2023 (v1)
Keywords: adiabatic flash calculation, binary chloride molten salts, modified quasi-chemical model, P-T phase diagram, thermal stability calculation, upper-temperature limit
A computational study on thermal stability was conducted the first time, combining the modified quasi-chemical model, the Antoine equation, and the adiabatic flash evaporation calculation principle to design a method to calculate the system pressure-temperature (P-T) phase diagram of binary chloride molten salts. The evaporation temperature of the molten salt obtained by analyzing the P-T phase diagram of the eutectic molten salt clearly defined the upper limit of the optimal operating temperature of the mixed molten salt. The results indicated that the upper-temperature limits of NaCl-KCl, NaCl-CaCl2, KCl-CaCl2, NaCl-MgCl2, and KCl-MgCl2 are determined to be 1141 K, 1151 K, 1176 K, 1086 K, and 1068 K. The maximum working temperature was measured experimentally using a thermogravimetric analysis (TGA), and the relative error between the calculation and experiment was calculated. The maximum error between the calculated and experimental values of the maximum operating temperature was 6.... [more]
The Effects of Information and Communication Technology, Economic Growth, Trade Openness, and Renewable Energy on CO2 Emissions in OECD Countries
Suyi Kim
March 1, 2023 (v1)
Keywords: CO2 emissions, gross domestic product, information and communication technology, pooled mean group, Renewable and Sustainable Energy, trade openness
This study examines the relationships between information and communication technology (ICT) usage and CO2 emissions considering economic growth, trade openness, and renewable electricity in the Organization for Economic Co-operation and Development countries for the period 1990−2018. It adopts pooled mean group (PMG) estimation based on the autoregressive distributed lag model. The PMG estimates indicate that although the coefficient value is small, ICT progress acts as a factor in increasing CO2 emissions in the long run. However, there is no significant short-run relationship between these two variables. Furthermore, economic growth increases CO2 emissions in the short and long run. The expansion of renewable electricity and trade openness reduces CO2 emissions in the long run. To mitigate the CO2 emissions originating from ICT, energy-saving technologies that use ICT as an energy management system should be further enhanced. The expansion of renewable electricity and the promotion... [more]
An Experimental Study on Thermal Performance of Graphite-Based Phase-Change Materials for High-Power Batteries
Danial Karimi, Hamidreza Behi, Joeri Van Mierlo, Maitane Berecibar
March 1, 2023 (v1)
Subject: Materials
Keywords: graphite, high power applications, high thermal conductivity, phase-change materials, thermal management
High-power lithium-ion capacitors (LiC) are hybrid energy storage systems (EES) with the combined benefits of lithium-ion batteries (LiB) and supercapacitors, such as high specific energy, high specific power, and a long lifetime. Such advanced technology can be used in high-power applications when high charging and discharging are demanded. Nevertheless, their performance and lifetime highly depend on temperature. In this context, this paper presents an optimal passive thermal management system (TMS) employing phase-change materials (PCM) combined with graphite to maintain the LiC maximum temperature. To evaluate the thermal response of the PCM and the PCM/G, experimental tests have been performed. The results exhibit that when the cell is under natural convection, the maximum temperature exceeds 55 °C, which is very harmful for the cell’s lifetime. Using the pure paraffin PCM, the maximum temperature of the LiC was reduced from 55.3 °C to 40.2 °C, which shows a 27.3% temperature redu... [more]
Method of Biomass Discrimination for Fast Assessment of Calorific Value
Jarosław Gocławski, Ewa Korzeniewska, Joanna Sekulska-Nalewajko, Paweł Kiełbasa, Tomasz Dróżdż
March 1, 2023 (v1)
Keywords: biofuel, Biomass, calorific value, deep neural network, image analysis, linear discrimination, principal component analysis, random forest, textural features
Crop byproducts are alternatives to nonrenewable energy resources. Burning biomass results in lower emission of undesirable nitrogen and sulfur oxides and contributes no significant greenhouse effect. There is a diverse range of energy-useful biomass, including in terms of calorific value. This article presents a new method of discriminating biomass, and of determining its calorific value. The method involves extracting the selected texture features on the surface of a briquette from a microscopic image and then classifying them using supervised classification methods. The fractal dimension, local binary pattern (LBP), and Haralick features are computed and then classified by linear discrimination analysis (LDA). The discrimination results are compared with the results obtained by random forest (RF) and deep neural network (DNN) type classifiers. This approach is superior in terms of complexity and operating time to other methods such as, for instance, the calorimetric method or analys... [more]
Cuckoo Search Combined with PID Controller for Maximum Power Extraction of Partially Shaded Photovoltaic System
Ibrahim Al-Wesabi, Zhijian Fang, Hassan M. Hussein Farh, Abdullrahman A. Al-Shamma’a, Abdullah M. Al-Shaalan, Tarek Kandil, Min Ding
March 1, 2023 (v1)
Keywords: hardware-in-loop, heuristics algorithms, Hybrid CSA-PID, MPPT, partial shading conditions, photovoltaic system
In the case of partial shading conditions (PSCs), normal equations cannot be completely implemented. The mathematical model of the Photovoltaic (PV) array needs to be modified and re-established with the existence of bypass diodes connected to the PV module, which can alleviate the negative effects of the PSCs and generate several peaks on the PV output characteristics curve. The first aim of this study is to modify and re-establish the mathematical model of the PV array under PSCs. Second, it aims to improve and validate the reliable Cuckoo Search Algorithm (CSA) by integrating it with PID (hybrid CSA-PID) to diminish the impact of PSCs problems. The hybrid CSA-PID was proposed to both track the global maximum power point (GMPP) of PV systems and reduce the tracking time to eliminate the fluctuations around the GMPP. Further, the PID controller was used to eliminate the error percentage obtained by CSA under PSCs to generate the required duty cycle, which provides the required and des... [more]
A Study of the Segment Assembly Error and Quality Control Standard of Special-Shaped Shield Tunnels
Peinan Li, Zeyu Dai, Xi Wang, Jun Liu, Yi Rui, Xiaojun Li, Jie Fan, Peixin Chen
March 1, 2023 (v1)
Keywords: assembly quality, control standard, error analysis, lining segments, quasi-rectangular shield tunnel
Large-section special-shaped shield tunnels feature many advantages, such as versatility and a large space utilization rate in energy transmission and public transport; however, guaranteeing the quality of segments’ assembly is difficult. Based on the quasi-rectangular shield tunnel project of Hangzhou Line 9 in China, this study investigated the formation mechanism and control measures of lining segment assembly defects. By quantifying the manufacturing error and positioning error, a simulation program for segment assembly is developed to calculate the error. Furthermore, considering the relative accumulative error between the upper and lower T blocks, the finite element model of key blocks (T-LZ block) is established to perform mechanical analysis, based on which the relative error control standard of the key block under the corresponding working conditions is proposed. The results show that the assembly quality can be effectively improved by assembling the LZ block first and applyin... [more]
Current and Stray Flux Combined Analysis for the Automatic Detection of Rotor Faults in Soft-Started Induction Motors
Angela Navarro-Navarro, Israel Zamudio-Ramirez, Vicente Biot-Monterde, Roque A. Osornio-Rios, Jose A. Antonino-Daviu
March 1, 2023 (v1)
Keywords: automatic fault diagnosis, broken rotor bars, current signals, induction motor, LDA, soft-starters, stray flux signals
Induction motors (IMs) have been extensively used for driving a wide variety of processes in several industries. Their excellent performance, capabilities and robustness explain their extensive use in several industrial applications. However, despite their robustness, IMs are susceptible to failure, with broken rotor bars (BRB) being one of the potential faults. These types of faults usually occur due to the high current amplitude flowing in the bars during the starting transient. Currently, soft-starters have been used in order to reduce the negative effects and stresses developed during the starting. However, the addition of these devices makes the fault diagnosis a complex and sometimes erratic task, since the typical fault-related patterns evolutions are usually irregular, depending on particular aspects that may change according to the technology implemented by the soft-starter. This paper proposes a novel methodology for the automatic detection of BRB in IMs under the influence o... [more]
Environmental and Economic Performance of CO2-Based Methanol Production Using Long-Distance Transport for H2 in Combination with CO2 Point Sources: A Case Study for Germany
Simon Kaiser, Felix Siems, Clemens Mostert, Stefan Bringezu
March 1, 2023 (v1)
Subject: Environment
Keywords: CO2-based methanol, defossilization, environmental and economic assessment, H2 import
The use of CO2-based hydrocarbons plays a crucial role in reducing the climate footprint for several industry sectors, such as the chemical industry. Recent studies showed that regions which are favorable for the production of CO2-based hydrocarbons from an energy perspective often do not provide concentrated point sources for CO2, which leads to an increased environmental impact due to the higher energy demand of direct air capture processes. Thus, producing H2 in regions with high renewable power potential and transporting it to industrialized regions with concentrated CO2 point sources could provide favorable options for the whole process chain. The aim of this study is to analyze and compare pathways to produce CO2-based methanol in Germany using a local CO2 point source in combination with the import of H2 per pipeline or per ship as well as H2 produced in Germany. The environmental and economic performance of the pathways are assessed using life cycle assessment and cost analysis... [more]
Multi-Layered Numerical Model Development of a Standard Cylindrical Lithium-Ion Battery for the Impact Test
Young Ju Ahn, Yeon-Seung Lee, Jin-Rae Cho
March 1, 2023 (v1)
Keywords: center-pin, cylindrical cell, frictional contact, impact test, lithium-ion battery
For safety issues in lithium-ion batteries (LIBs), international standards and regulations for various abusive environments have been developed, and UL1642 in Underwriters Laboratories (UL) currently covers electrical, mechanical, environmental, and fire exposure tests. An impact test is one of mechanical abuse tests in UL1642, which aims to determine the safe prevention of fire or explosion. As the energy density of a lithium-ion battery is continuously increasing, it is difficult to pass the regulation. Therefore, it is necessary to predict failure mode due to an internal short circuit in developing high-capacity cells. For a sudden and measured mechanical force, we speculate that damage to a separator consisting of LIBs makes the battery experience an exothermic phenomenon due to an internal short circuit because a separator is a key component for preventing the electrical contact between two electrodes. Therefore, if we can find mechanical stresses of each component in LIBs, we can... [more]
De-Risking Solar Receivers to Achieve SunShot Targets
Matthew L. Bauer
March 1, 2023 (v1)
Keywords: Concentrating Solar-thermal Power, CSP, Gen3 CSP, Solar Reactor, Solar Receiver, SunShot, Thermal Systems
Concentrating solar thermal (CST) systems are unique among renewable energy options for the ease of integration with thermal energy storage (TES). This enables dispatchable (or continuous) production of electricity, process heat, solar fuels, or other chemical products. The solar receiver in a CST system converts concentrated sunlight to transportable thermal energy. In solar power towers, the solar receiver’s physical limitations are often the constraining conditions for the system; they restrict maximum temperature, maximum solar concentration, or controllable chemical production. It is also a uniquely challenging component to prototype and test at sizes beyond the laboratory scale. Transitioning exceptional research innovations into viable components for an integrated system and ultimately leading to CST market adoption requires a multiscale vision for component de-risking and development. Technical requirements for holistic novel receiver development are reviewed based on learnings... [more]
Influence of Geometrical Parameters on the Shape of the Cycloidal Function Curve of a Fan with a Cycloidal Rotor
Tomasz Staśko, Martyna Tomala, Mirosław Majkut, Krzysztof Nawrat, Krystian Smołka
March 1, 2023 (v1)
Keywords: cycloidal rotor, experiment, fan, HVAC, numerical computations, sensitivity analysis
Even though the cycloidal rotor concept has been around for almost a century, it is still not as popular as it should be. Most often it is used to propel unmanned aerial vehicles or sea-going ships, or it is applied as a river- or sea-energy converter. Despite the possibility of directing the flow by changing the inclination angle of blades and the possibility of working in both directions, there are no scientific studies on the use of the concept in HVAC (heat, ventilation and air conditioning). One of the most important elements characterizing the operation of the cycloidal rotor is the cycloidal function describing the change in the angles of the blades during rotation. To properly design a cycloidal rotor for a preferred application, an analysis of the rotor geometrical parameters must be performed and analyzed. This was performed on a four-blade rotor equipped with CLARK Y blades. Using Ansys CFX software, a CFD model of a fan operating with various cycloidal functions was created... [more]
A Carbonate Reservoir Prediction Method Based on Deep Learning and Multiparameter Joint Inversion
Xingda Tian, Handong Huang, Suo Cheng, Chao Wang, Pengfei Li, Yaju Hao
March 1, 2023 (v1)
Keywords: carbonate reservoirs, LSTM neural network, parameter prediction, prestack inversion
Deep-water carbonate reservoirs are currently the focus of global oil and gas production activities. The characterization of strongly heterogeneous carbonate reservoirs, especially the prediction of fluids in deep-water presalt carbonate reservoirs, exposes difficulties in reservoir inversion due to their complex structures and weak seismic signals. Therefore, a multiparameter joint inversion method is proposed to comprehensively utilize the information of different seismic angle gathers and the simultaneous inversion of multiple seismic parameters. Compared with the commonly used simultaneous constrained sparse-pulse inversion method, the multiparameter joint inversion method can characterize thinner layers that are consistent with data and can obtain higher-resolution presalt reservoir results. Based on the results of multiparameter joint inversion, in this paper, we further integrate the long short-term memory network algorithm to predict the porosity of presalt reef reservoirs. Com... [more]
Optimal Service Restoration Scheme for Radial Distribution Network Using Teaching Learning Based Optimization
Mulusew Ayalew, Baseem Khan, Zuhair Muhammed Alaas
March 1, 2023 (v1)
Keywords: protective devices, radial distribution system, service restoration
In the event of a fault isolation process, all loads located downstream from the faulted point become out of service, and as a consequence, the power interruption affects a greater portion of the radial distribution system. This paper proposes an optimal Service Restoration (SR) method that entails changing the network topology configuration via optimal tie-switch and section switch combinations. However, when the network topology configuration is performed, it results in increased load currents. As a result, some Protective Devices (PDs) can operate undesirably and some network branches may become unprotected. Therefore, it is essential to consider protection constraints in the SR problem to maintain service continuity during power interruptions. The proposed method aims at optimal SR with minimum out-of-service loads, minimum power loss, and improved voltage profiles and at the same time ensures PDs operate correctly during the normal and overloading conditions. The proposed method w... [more]
Position-Based Impedance Control Design for a Hydraulically Actuated Series Elastic Actuator
Pauli Mustalahti, Jouni Mattila
March 1, 2023 (v1)
Keywords: elastic actuator, heavy duty manipulator, impedance control
Series elastic actuators (SEAs) have become a common actuation method in torque-controlled electric lightweight arm applications that physically interact with the environment in assembly tasks. Compared to traditional actuators, SEAs can provide high force fidelity, shock tolerance, and force sensing for interaction control. Considering inherent system dynamics and the variable stiffness of the fluid, the control design for hydraulic SEAs (HSEAs) that lead into fifth-order system is a challenging task. As a novelty, a full state feedback controller design for the developed fifth-order HSEA system is presented to serve as an inner-loop controller to handle highly nonlinear dynamics behavior. In addition, as an outer-loop impedance controller for HSEAs in heavy-duty applications, the position-based impedance controller is designed to handle control of the HSEA system during the contact motion. Experimental results with a one-degree-of-freedom real-size experimental setup with a payload o... [more]
Electrical Launch Catapult and Landing Decelerator for Fixed-Wing Airborne Wind Energy Systems
Johannes Alexander Müller, Mostafa Yasser Mostafa Khalil Elhashash, Volker Gollnick
March 1, 2023 (v1)
Keywords: acceleration phase, airborne wind energy, Ampyx Power, AWES, BLLS, deceleration phase, ElektRail, landing, launch, system dynamics, UAV
This paper presents a (pre)feasibility study of the rail-based ultra-short launch and landing system ElektRail for fixed-wing airborne wind energy systems, such as Ampyx Power. The ElektRail concept promises airborne mass reductions through the elimination of landing gear as well as decreased landing stresses and ground stability requirements, opening possibilities for improved aerodynamics through a single fuselage configuration. Initially designed for operating fixed-wing drones from open fields, the ElektRail concept had to be significantly shortened for application in an airborne wind energy (AWE) context. This shorter size is required due to the much more limited space available at AWE sites, especially on offshore platforms. Hence, a performance enhancement using the integration of a bungee launching and landing system (BLLS) was designed and a system dynamics model for the launch and landing was derived. The results demonstrated the possibility for the ElektRail to be shortened... [more]
Aggregation of Demand-Side Flexibilities: A Comparative Study of Approximation Algorithms
Emrah Öztürk, Klaus Rheinberger, Timm Faulwasser, Karl Worthmann, Markus Preißinger
March 1, 2023 (v1)
Keywords: demand-side management, Energy Storage, flexibility aggregation, Minkowski sum, smart grids
Traditional power grids are mainly based on centralized power generation and subsequent distribution. The increasing penetration of distributed renewable energy sources and the growing number of electrical loads is creating difficulties in balancing supply and demand and threatens the secure and efficient operation of power grids. At the same time, households hold an increasing amount of flexibility, which can be exploited by demand-side management to decrease customer cost and support grid operation. Compared to the collection of individual flexibilities, aggregation reduces optimization complexity, protects households’ privacy, and lowers the communication effort. In mathematical terms, each flexibility is modeled by a set of power profiles, and the aggregated flexibility is modeled by the Minkowski sum of individual flexibilities. As the exact Minkowski sum calculation is generally computationally prohibitive, various approximations can be found in the literature. The main contribut... [more]
Machine Learning Methods Modeling Carbohydrate-Enriched Cyanobacteria Biomass Production in Wastewater Treatment Systems
Héctor Rodríguez-Rángel, Dulce María Arias, Luis Alberto Morales-Rosales, Victor Gonzalez-Huitron, Mario Valenzuela Partida, Joan García
March 1, 2023 (v1)
Keywords: carbohydrate accumulation modeling, deep learning algorithms, microalgae, resource recovery
One-stage production of carbohydrate-enriched microalgae biomass in wastewater is a promising option to obtain biofuels. Understanding the interaction of water quality parameters such as nutrients, carbon, internal carbohydrates, and microbial composition in the culture is crucial for efficient operation and viable large-scale cultivation. Bioprocess models are an essential tool for studying the simultaneous effect of complex factors on carbohydrate accumulation, optimizing the process, and reducing operational costs. In this sense, we use a dataset obtained from an empirical model that analyzed the accumulation of carbohydrates in a single process (simultaneous growth and accumulation) from real wastewater. In this experiment, there were no ideal conditions (limiting nutrient conditions), but rather these limitations are guaranteed by the operating conditions (hydraulic retention times/nutrient or carbon loads). Thus, the model integrates 18 variables that are affected and not only ca... [more]
Special Issue on Advances in Maintenance Management
Fausto Pedro García Márquez
March 1, 2023 (v1)
This book covers research relating to advanced analytics in renewable energy and shows how to apply these analytics to many different professional areas, including engineering and management [...]
A Method for Predicting the Remaining Useful Life of Lithium Batteries Considering Capacity Regeneration and Random Fluctuations
Haipeng Pan, Chengte Chen, Minming Gu
March 1, 2023 (v1)
Keywords: capacity regeneration, data-driven methods, lithium-ion battery, random fluctuations, remaining useful life prediction
Accurately predicting the remaining useful life (RUL) of lithium-ion batteries (LIBs) is important for electronic equipment. A new algorithm is proposed to aim at the nonlinear degradation caused by capacity regeneration and random fluctuations. Firstly, the health state degradation curve of LIBs is divided into the normal degradation trend part, capacity regeneration part, and random fluctuation part. Secondly, the capacity degradation curve of LIBs is decomposed by the empirical mode decomposition (EMD) to obtain the known long-term degradation trend part of LIBs. Then, the long short-term memory (LSTM) neural network is used to predict the future normal degradation trend part based on the known long-term degradation trend part of LIBs. In addition, the LIBs’ state of health (SOH), the initial state of charge (SOC), and the rest time are taken as the inputs of Gaussian process regression (GPR) to predict the LIBs’ capacity regeneration part. After that, random numbers obeying the Sta... [more]
Multi Criteria Decision Analysis to Optimise Siting of Electric Vehicle Charging Points—Case Study Winchester District, UK
Mostafa Mahdy, AbuBakr S. Bahaj, Philip Turner, Naomi Wise, Abdulsalam S. Alghamdi, Hidab Hamwi
March 1, 2023 (v1)
Keywords: AHP, charging points, electrical vehicles and infrastructure, MCDM, spatial siting, Winchester District
Achieving net-zero carbon in the UK by 2050 will necessitate the decarbonisation of the transportation systems. However, there are challenges to this, especially for vehicles in cities where the charging infrastructure is at its minimum. Overcoming these challenges will undoubtedly encourage electrical vehicle (EV) use, with commensurate reductions in emission coupled with better environmental conditions in cities, e.g., air quality. Drivers, on the whole, are reluctant to invest in an EV if they cannot access a convenient charging point within their living area. This research provides a methodology to support the planning for the optimum siting of charging infrastructure, so it is accessible to as many citizens as possible within a city. The work focuses on Winchester City and District in the UK. The multi-criteria decision approach is based on the Analytical Hierarchy Process (AHP) linked to site spatial assessment using Geographical Information System (GIS). The assessment considere... [more]
Streaming Electrification of C60 Fullerene Doped Insulating Liquids for Power Transformers Applications
Maciej Zdanowski
March 1, 2023 (v1)
Subject: Materials
Keywords: C60 fullerene, dielectric liquids, electrostatic charging tendency, flow system, insulation diagnostics, insulation system, mineral oil, nanofluids, nanoparticles, natural ester, power transformers, streaming electrification, synthetic ester
Long-term and fault-free operation of power transformers depends on the electrical strength of the insulation system and effective heat dissipation. Forced circulation of the insulating liquid is used to increase the cooling capacity. A negative effect of such a solution is the creation of the phenomenon of streaming electrification, which in unfavorable conditions may lead to damage to the insulating system of the transformer. This paper presents results of research confirming the possibility of using fullerene C60 to reduce the phenomenon of streaming electrification generated by the flow of liquid dielectrics. The volume charge density qw was used as a material indicator to determine the electrostatic charging tendency (ECT) of nanofluids. This parameter was determined from the Abedian-Sonin electrification model on the basis of electrification current measurements and selected physicochemical and electrical properties of the liquid. The electrification current was measured in a flo... [more]
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