Browse
Records Added in 2023
Records added in 2023
Change year: 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026
Filter by month: January | February | March | April | May | June | July | August | September | October | November | December
Showing records 33556 to 33580 of 36336. [First] Page: 1 1340 1341 1342 1343 1344 1345 1346 1347 1348 Last
Current State, Development and Future Directions of Medical Waste Valorization
Yin Ting Chu, Jianzhao Zhou, Yuan Wang, Yue Liu, Jingzheng Ren
February 22, 2023 (v1)
Subject: Environment
Keywords: biomedical waste, circular economy, clinical waste, healthcare waste, medical waste, thermochemical processes, waste management, waste-to-energy
Elevated medical waste has urged the improvement of sustainable medical waste treatments. A bibliometric analysis is initially conducted to investigate scientific development of medical waste management to pinpoint the publication trends, influential articles, journals and countries and study hotspots. Publications on medical waste and its management sharply increased since 2020. The most influential article was written by Klemeš et al., and “Waste Management and Research” is the most productive journal. India, China, the United Kingdom, Iran and Italy have published the most works. The research spotlights have switched from “human” and “sustainable development” in 2019 to “COVID-19” and “circular economy” in 2021. Since government acts essentially in handling medical waste and controlling disease transmission, rule implementations among the abovementioned countries are summarized to seek gaps between scientific advancement and regulatory frameworks. For accomplishing a circular econom... [more]
A New Methodology for Early Detection of Failures in Lithium-Ion Batteries
Mario Eduardo Carbonó dela Rosa, Graciela Velasco Herrera, Rocío Nava, Enrique Quiroga González, Rodolfo Sosa Echeverría, Pablo Sánchez Álvarez, Jaime Gandarilla Ibarra, Víctor Manuel Velasco Herrera
February 22, 2023 (v1)
Keywords: early battery failure detection, lithium-ion battery, wavelet spectral analysis
The early fault detection and reliable operation of lithium-ion batteries are two of the main challenges the technology faces. Here, we report a new methodology for early failure detection in lithium-ion batteries. This new methodology is based on wavelet spectral analysis to detect overcharge failure in batteries that is performed for voltage data obtained in cycling tests, subjected to a standard charge/discharge protocol. The main frequencies of the voltage temporal signal, the harmonic components in the regular cycling test, and a low frequency pattern were identified. For the first time, battery failure can be anticipated by wavelet spectral analysis. These results could be the key to the new early detection of battery failures in order to reduce out-of-control explosions and fire risks.
Experimental Measurement and Theoretical Prediction of Bubble Growth and Convection Heat Transfer Coefficient in Direct Contact Heat Transfer
Jun Yang, Biao Li, Hui Sun, Jianxin Xu, Hua Wang
February 22, 2023 (v1)
Keywords: bubble dynamics, bubble growth, convection heat transfer coefficient, heat flux, two-phase flow
The measurement of the two-phase contact area is very important to determine the heat transfer coefficient in the process of direct contact heat transfer, but the direct measurement of the two-phase contact area is a difficult problem. The experiments are carried out utilizing a cylindrical Perspex tube of 100 cm in total height and 15 cm inner diameter. The active column height throughout the experiments is taken to be equal to 50 cm. Liquid Therminol®66 with four different initial temperatures (50 °C, 60 °C, 70 °C and 80 °C) is used as a continuous phase, while liquid R245fa at a constant temperature of 23 °C is used as a dispersed phase. In this paper, the empirical correlations between bubble growth and local convection heat transfer coefficient are obtained through modeling and measurement, and its correctness is verified by experiments. The results show that the bubble diameter is positively correlated with continuous phase temperature, flow rate ratio, and height, but the local... [more]
Simulation and Experimental Evaluation of a Refractive-Reflective Static Solar Concentrator
Guillermo Luque-Zuñiga, Rubén Vázquez-Medina, G. Ramos-López, David Alejandro Pérez-Márquez, H. Yee-Madeira
February 22, 2023 (v1)
Keywords: collected energy, refractive-reflective system, solar concentrator, solar energy
Static solar devices have advantages over solar tracking systems. In pure reflective systems, solar reception is limited by the entry angle of the reflector. Many reflective systems are based on mirror Compound Parabolic Concentrators. The solar collection can be improved by placing a lens on top of the reflector. In this work, a static system is proposed, consisting of a mirror funnel concentrator with a prism on top. The system is designed using ray-tracing software and is subsequently built and experimentally evaluated. The system designed for an effective concentration factor of 4× reaches an effective concentration of 3.2× at 11:30 a.m. and has an acceptance angle of 60°. Considering the time interval from 8 a.m. to 4 p.m., the system harvests 30.7% more energy than the flat surface. If the time interval considered is from 9:30 a.m. to 2:30 p.m., the increase in harvest is ∼77%. The incorporation of the prism represents an increase of ∼6% compared to the bare reflective system.
Efficiency Improvement of Photovoltaic Panels: A Novel Integration Approach with Cooling Tower
Emad Abdelsalam, Hamza Alnawafah, Fares Almomani, Aya Mousa, Mohammad Jamjoum, Malek Alkasrawi
February 22, 2023 (v1)
Keywords: co-cooling, cooling tower, downdraft system, efficiency, photovoltaic, PV cooling
Overheating of photovoltaic (PV) panels decreases their efficiency and lifetime, and subsequently increases the levelized cost of energy (LCOE). Passive PV cooling would enhance the PV operational stability and durability. The cooling tower (CT) technology offers an attractive approach for zero-cost capability. In this work, we developed and customized a CT specific for passive PV cooling. Since the dense downdrafted cooled air gained high velocity, a turbine was installed at the bottom of the CT for power production. At the height’s ambient temperature, the CT cooled the air from 50 °C down to 30 °C. The cooled air at 30 °C has enough capacity to cool the PV panels. This cooling capacity improved the average annual efficiency of the PV panels by 6.83%. The design specifications of the CT have the highest performance, with the maximum radius of PV area of panels that can be cooled at 50 m. Furthermore, the current design could operate during the night for power production with minimum... [more]
A High-Efficiency QR Flyback DC−DC Converter with Reduced Switch Voltage Stress Realized by Applying a Self-Driven Active Snubber (SDAS)
Jeong-Sang Yoo, Jong-Ok Baek, Tae-Young Ahn
February 22, 2023 (v1)
Keywords: active clamping switch, active snubber, quasi-resonant flyback converter, RCD snubber, self-driven active snubber, synchronous rectifier, valley switching
In this paper, a QR flyback converter using a self-driven active snubber (SDAS) was proposed to solve the problem of voltage surge in the switch of QR flyback converters. In the proposed converter, the SDAS consisting of a clamping capacitor and an active switch can be configured in parallel with the main switch or transformer to reduce the voltage surge in the switch. To confirm the steady-state characteristics of the QR flyback converter to which the proposed SDAS is applied, equivalent circuits for each state were constructed, and the equations and characteristics for each state were determined. A 60 W class small AC−DC adapter was constructed to confirm the effectiveness of the proposed converter and the control circuit method, and the experimental results were analyzed. The size of the experimental AC−DC adapter was 74×29×23 mm, and it had a high power density of 20 W/in3 or more. The experimental circuit was limited to the high power conversion efficiency of up to 91.56%, and the... [more]
Review on Nano Enhanced PCMs: Insight on nePCM Application in Thermal Management/Storage Systems
Fateh Mebarek-Oudina, Ines Chabani
February 22, 2023 (v1)
Subject: Materials
Keywords: latent heat, nano-enhanced PCMs, nano-enhanced PCMs applications, thermal management, thermal storage, thermal systems enhancement
Phase change materials (PCMs) proved to be valuable and drew the attention of numerous scientists striving to establish novel techniques to minimize energy consumption and expand heat storage; yet a number of challenges hampered their research. This paper provides an overall overview on how to overcome those constraints by adapting nano-enhanced phase change materials, the motivation behind their investigation, their advantages, area of applications, and their impact on thermal management and storage equipment. Recent computational and experimental studies have revealed that nanoparticles are extremely useful in terms of improving the thermo-physical properties of PCMs, allowing nano-PCMs, mainly nano-paraffin, to have a major positive influence on thermal concepts at the economical, ecological, and effectiveness levels. In this context, nano-enhanced PCMs are now able to store and release large amounts of heat in short intervals of time, which is relevant to thermal storage systems an... [more]
Influence of Increasing Renewable Power Penetration on the Long-Term Iberian Electricity Market Prices
Pedro Leal, Rui Castro, Fernando Lopes
February 22, 2023 (v1)
Keywords: artificial neural networks, electricity market prices, long-term forecast, missing money problem, Renewable and Sustainable Energy
In recent years, there has been a significant increase in investment in renewable energy sources, leading to the decarbonization of the electricity sector. Accordingly, a key concern is the influence of this process on future electricity market prices, which are expected to decrease with the increasing generation of renewable power. This is important for both current and future investors, as it can affect profitability. To address these concerns, a long-term analysis is proposed here to examine the influence of the future electricity mix on Iberian electricity prices in 2030. In this study, we employed artificial intelligence forecasting models that incorporated the main electricity price-driven components of MIBEL, providing accurate predictions for the real operation of the market. These can be extrapolated into the future to predict electricity prices in a scenario with high renewable power penetration. The results, obtained considering a framework featuring an increase in the penet... [more]
Facilitating Investment in Photovoltaic Systems in Iran Considering Time-of-Use Feed-in-Tariff and Carbon Market
Asrin Seyedzahedi, Salah Bahramara
February 22, 2023 (v1)
Keywords: battery energy storage, carbon reduction, carbon trading market, photovoltaic system, planning problem
Photovoltaic (PV) systems are the leading solutions for reducing carbon dioxide (CO2) emissions in Iran’s energy system. However, there are some challenges to investing in PV systems in Iran, such as the low energy market price and the high investment cost of PV systems. Although the flat feed-in tariff (FiT) is defined to help purchase energy from the PV systems, it is not attractive to investors. In this paper, a mathematical formulation is developed for the planning problem of the PV systems with battery energy storages (BESs) considering two incentive policies: (1) Designing time-of-use FiT to encourage the PV systems to sell energy to the grid at peak hours (2) Participating in the carbon trading energy market. The insolation in Iran is calculated regarding mathematical formulations which divide Iran into eight zones. The results of the base case show high payback periods for all zones. In the presence of the incentive policies, the payback period decreases considerably from 5.46... [more]
The Effects of Differential Diffusion on Turbulent Non-Premixed Flames LO2/CH4 under Transcritical Conditions Using Large-Eddy Simulation
Siyuan Wang, Haiou Wang, Kun Luo, Jianren Fan
February 22, 2023 (v1)
Keywords: differential diffusion, flame structure, flow dynamics, large-eddy simulation, transcritical conditions
In this paper, a large-eddy simulation (LES) of turbulent non-premixed LO2/CH4 combustion under transcritical conditions is performed based on the Mascotte test rig from the Office National d’Etudes et de Recherches Ae´rospatiales (ONERA), and the aim is to understand the effects of differential diffusion on the flame behaviors. In the LES, oxygen was injected into the environment above the critical pressure while the temperature was below the critical temperature. The flamelet/progress variable (FPV) approach was used as the combustion model. Two LES cases with different species diffusion coefficient schemes—i.e., non-unity and unity Lewis numbers—for generating the flamelet tables were carried out to explore the effects of differential diffusion on the flame and flow structures. The results of the LES case with non-unity Lewis numbers were in good agreement with the experimental data. It was shown that differential diffusion had evident impacts on the flame structure and flow dynamic... [more]
HVDC Fault Detection and Classification with Artificial Neural Network Based on ACO-DWT Method
Raad Salih Jawad, Hafedh Abid
February 22, 2023 (v1)
Keywords: ACO-DWT, artificial neural network, HVDC fault detection, optimization method
Unlike the more prevalent alternating current transmission systems, the high voltage direct current (HVDC) electric power transmission system transmits electric power using direct current. In order to investigate the precise remedy for fault detection of HVDC, this research proposes a method for the HVDC fault diagnostic methodologies with their limits and feature selection-based probabilistic generative model. The main contribution of this study is using the wavelet transform based on ant colony optimization and ANN to detect the different types of faults in HVDC transmission lines. In the proposed method, ANN uses optimum features obtained from the voltage, current, and their derivative signals. These features cannot be accurate to use in ANN because they cannot give reliable accuracy results. For this reason, first, the wavelet transform applies to the fault and non-fault signals to remove the noise. Then the ACO reduces unimportant features from the feature vector. Finally, the opt... [more]
Investigation on Convection Heat Transfer Augment in Spirally Corrugated Pipe
Xiuzhen Li, Shijie Liu, Xun Mo, Zhaoyang Sun, Guo Tian, Yifan Xin, Dongsheng Zhu
February 22, 2023 (v1)
Keywords: corrugated tube, heat transfer enhancement, turbulent flow, twisted tube
A numerical simulation on the heat transport augmentation and flow drag behavior of spirally corrugated pipes was performed. The simulation was conducted on the basis of the experimental results documented in the published literature. The influence of the thread height and pitch on the hydraulic−thermal performance as well as the mechanism of the convection heat transport development inside the spirally corrugated pipe were explored. It was discovered that the convection heat transport performance elevates in the Reynolds number region of 4000~13,000 as the thread height rises or the Reynolds number enlarges, but it declines when the thread pitch extends. The convection heat transport performance marked by the Nusselt number of the spirally corrugated pipe could reach 2.77 times that of the plain pipe, while the flow resistance coefficients of spirally corrugated pipes are 89~324% above that of the plain pipe. It enlarges with the rise in thread height but declines with the extension o... [more]
The Influence of Noise Level on the Value of Uncertainty in a Measurement System Containing an Analog-to-Digital Converter
Eligiusz Pawłowski, Anna Szlachta, Przemysław Otomański
February 22, 2023 (v1)
Subject: Environment
Keywords: ADC, analog-to-digital converter, DAQ devices, electromagnetic interference, expanded uncertainty, experimental standard deviation, experimental standard deviation of the mean, LabVIEW, maximum permissible error, probability distribution
For newly developed measuring systems, it is easy to estimate type-B uncertainties based on technical data from the measuring modules applied. However, it is difficult to estimate A-type uncertainties due to the unknown type and level of interferences infiltrating the measuring system. This is a particularly important problem for measurements carried out in the presence of typical of power grid disturbances. The aim of the research was to develop a method and a measurement stand for experimental assessment of uncertainties in a measuring system that makes use of data acquisition modules containing analog-to-digital converters (ADCs). The paper describes, in detail, the design of a completed test stand. It presents an original application in the LabVIEW environment, which enables testing the dependence of the uncertainties with the quantity of the measurements averaged in a series, for different kinds and levels of interferences infiltrating the measuring path. The results of tests for... [more]
Phase Change Materials Energy Storage Enhancement Schemes and Implementing the Lattice Boltzmann Method for Simulations: A Review
Milad Shirbani, Majid Siavashi, Mehdi Bidabadi
February 22, 2023 (v1)
Subject: Materials
Keywords: lattice Boltzmann method (LBM), nanoparticle, performance enhancement, phase change material (PCM), porous media, thermal energy storage
Utilizing phase change materials (PCMs) is one of the most effective methods of storing thermal energy and is gaining popularity in renewable energy systems. In order to analyze PCM performance, various numerical methods have been deployed to study the transient behaviour during phase changes. PCMs’ low thermal conductivity prevents their use as pure PCMs in industrial applications. There are various efficient methods of enhancing PCM thermal conductivity, which are addressed in this article. On the other hand, the lattice Boltzmann method (LBM) is very inclusive in the numerical simulation of complex fluid flows, thermal transport, and chemical interactions because of its ability to simply represent various complex physical phenomena, suitability for parallel programming, and easy coding and implementation. Many numerical studies have been conducted on PCMs using the LBM. This study aims to review these studies and categorize them in a way so that one may thoroughly understand the LBM... [more]
Microstructure and Hydrogen Storage Performance of Ball-Milled MgH2 Catalyzed by FeTi
Ádám Révész, Roman Paramonov, Tony Spassov, Marcell Gajdics
February 22, 2023 (v1)
Subject: Materials
Keywords: ball-milling, FeTi catalyst, hydrogen storage, magnesium
A high-energy ball-milling method was applied for different milling times (1 h, 3 h, and 10 h) to synthetize nanocrystalline MgH2 powder samples catalyzed by Fe2Ti. Morphology and microstructure of the powders were characterized by scanning electron microscopy and X-ray diffraction. The recorded diffraction profiles were evaluated by the convolutional multiple whole profile fitting algorithm, in order to determine microstructural parameters of the composites, such as average crystallite size and average dislocation density. Differential scanning calorimetry was performed to investigate the dehydrogenation characteristics of the alloys. It was obtained that there exists an optimal milling time (3 h) when desorption occurs at the lowest temperature. X-ray diffraction of partially dehydrided states confirmed a two-step H-release, including the subsequent desorption of γ-MgH2 and α-MgH2. The effect of milling time on the H-sorption performance was investigated in a Sievert-type apparatus.... [more]
The Impact of Awareness for the Consequences from Adopting Electric Scooters—The Crucial Role of Warm Glow and Extrinsic Appeal
Chien-Wei Ho, Chi-Chuan Wu, Min-Tzu Hsieh
February 22, 2023 (v1)
Subject: Environment
Keywords: awareness of consequences, electric vehicles, extrinsic motivation, warm glow
With the rapidly development of electricity technology and renewable energy, adopting electric vehicles (EVs) not only can efficiently collaborate with renewable energy, but also can help decrease the negative environmental effects of traditional vehicles. However, even though electric vehicles offer many advantages, most consumers still hesitate to buy or even rent them. While there is a large growing body of studies focusing on topics related to electric public transportation and electric cars, there is still a shortage of them examining electric scooters (ESs). Based on the norm activation model (NAM), green consumption effect, and extrinsic motivation, this study aims to present the crucial antecedence of consumers’ intention to adopt ESs. As a main transportation for most of the people in Taiwan, this research adopts design of experiments and develops two studies to collect data from Taiwan. The results show that warm glow mediates the positive relationship between awareness of co... [more]
Testing and Modeling of Vehicle Li-Ion Battery Module with Prismatic Cells under Abuse Conditions
Krishna Prasath Logakannan, Feng Zhu, David Sypeck, Sida Xu, Jie Deng, Sangyeon Kim
February 22, 2023 (v1)
Keywords: FE model, Li-ion batteries, module, penetration, safety
The damage behavior of Li-ion vehicle battery modules with prismatic cells has been investigated through mechanical experiments and numerical simulations. The modules were subjected to quasi-static indentation using a V-shaped stainless-steel wedge along three orthogonal directions. One higher speed test was also performed. Force and voltage were measured as a function of displacement to monitor damage during loading. A detailed finite element (FE) model was developed to simulate force-displacement with very good comparison to experimental results. Based on the FE model, energy absorption contributions of four major component groups were analyzed along with detailed effects of enclosure weld defects. Analysis indicates the steel parts absorbed significant amounts of energy irrespective of indentation direction. The welds connecting the side plates were the weak link in the protective structure. Increasing the thickness of the steel plates could help absorb more energy.
Energy and Thermal Performance Analysis of PCM-Incorporated Glazing Units Combined with Passive and Active Techniques: A Review Study
Hossein Arasteh, Wahid Maref, Hamed H. Saber
February 22, 2023 (v1)
Subject: Materials
Keywords: Köppen-Geiger climate classification, PCM, smart glazing, Solar Photovoltaic, thermochromic, thermotropic
The building envelope provides thermal comfort, an excellent visual view, and sunlight for the occupants. It consists of two parts: (i) an opaque (non-transparent) part (e.g., walls and roofs) and (ii) a transparent part (e.g., windows, curtain walls, and skylight devices). Recently, the use of fully-glazed facades, especially in large cities, has increased due to their aesthetical and structural advantages. This has led this study to review the performance of the currently passive smart glazing technologies. Phase Change Materials (PCMs) as latent energy storage material is the focus of this review, as well as other individual and combined techniques, including shading systems, solar cells (photovoltaic), and chromogenic (thermotropic and thermochromic) materials. PCM-integrated glazing systems have been extensively studied and rapidly developed over the past several decades from the standpoint of unique system designs, such as passive, active, and passive/active mixed designs, intell... [more]
Arc-Extinguishing Research on Semi-Closed Multi-Compression Tube Structures
Yongfeng Song, Jufeng Wang, Ping Huang, Yang Lu, Qiwen He, Zhenghao Jia, Hao Li, Yanlei Wang
February 22, 2023 (v1)
Keywords: arc quenching, impulse arc, magnetohydrodynamics, power frequency freewheeling
Using lightning energy to extinguish the arc is a new lightning protection method. On this basis, the semi-closed multi-compression tube structures (SMTS) combined with the arc extinguishing structure studied in this paper can suppress the power frequency arc at the initial stage of arc establishment by using the coupling effect of current and gas. Firstly, through the simulation comparison method, the promotion effect of the semi-closed tube on the arc discharge was found. Furthermore, the two-dimensional impulse power frequency current coupling discharge model was established to obtain changes in physical quantities, such as temperature and conductivity. The conductivity decreased to the initial value in about 1 ms. Finally, the impulse power frequency combined arc extinguishing test was carried out. The test results show that the arc extinguishing structure can effectively extinguish power frequency freewheeling within 1 ms. It proves the effectiveness of the arc extinguishing struc... [more]
Energy Demand and Energy Efficiency in Developing Countries
Lester C. Hunt, Paraskevas Kipouros
February 22, 2023 (v1)
Subject: Energy Policy
Keywords: ‘True’ energy efficiency, energy demand, Energy Efficiency, stochastic frontier analysis
This paper investigates relative aggregate energy efficiency for a panel of 39 developing countries by econometrically estimating an energy-demand function (EDF) using the stochastic frontier analysis (SFA) approach to provide relative energy efficiency scores over the period 1989 to 2008. Energy efficiency is arguably difficult to define or even conceptualise with several interpretations in the literature but here it is based on an economists’ perspective of efficiency. Hence, the estimates of ‘true’ energy efficiency found in the paper using this approach approximate the economically efficient use of energy capturing both technical and allocative efficiency and the results confirm that energy intensity should not be considered as a de facto standard indicator of energy efficiency. While, by controlling for a range of socio-economic factors, the measurements of energy efficiency obtained by the analysis are deemed more appropriate and hence it is argued that this analysis should be un... [more]
Decoupled Speed and Flux Control of Three-Phase PMSM Based on the Proportional-Resonant Control Method
Haneen Ghanayem, Mohammad Alathamneh, R. M. Nelms
February 22, 2023 (v1)
Keywords: decoupled control, flux controller, PMSM, proportional-resonant, speed control, vector control
Field-oriented control (FOC) has achieved great success in permanent magnet synchronous motor (PMSM) control. For the PMSM drive, FOC allows the motor torque and flux to be controlled separately, which means the torque and flux are decoupled from each other. Since the torque control is achieved by the speed controller, it can be considered that the speed and the flux of the PMSM are also decoupled from each other and can be controlled separately. In this paper, we propose a PMSM vector control using decoupled speed and flux controllers based on the proportional-resonant (PR) control method. A flux controller is proposed to control the flux of the PMSM and generate the d-axis reference current, whereas the speed regulator is used to generate the torque as well as the q-axis reference current. The PR controller is proposed to control the dq-axis currents and generate the reference voltages; its design is included.Therefore, decoupled speed and flux controllers are controlled separately u... [more]
An Overview of Flexible Current Control Strategies Applied to LVRT Capability for Grid-Connected Inverters
David J. Rincon, Maria A. Mantilla, Juan M. Rey, Miguel Garnica, Damien Guilbert
February 22, 2023 (v1)
Keywords: flexible current control, LVRT, peak current, power control, voltage support
Distributed power generation plays a critical role in the stability and reliability of modern power systems. Due to the rapid growth of renewable energy generation, the requirements of the transmission and distribution system operators are becoming more stringent. Among these requirements, one of the most important is the Low-Voltage Ride-Through (LVRT) capability, which demands that the inverters remain connected to the grid and provide support during voltage sags. For this purpose, flexible current control algorithms stand out because they can manage unbalanced voltages and simultaneously achieve other control objectives. With the aim of presenting a concrete document focused on describing fundamental principles and discussing common design guidelines, this paper presents an overview of flexible current control strategies applied to LVRT capability. The operation features and design aspects of experiences reported in the literature are reviewed. Moreover, the paper proposes a general... [more]
Forecasting the Monash Microgrid for the IEEE-CIS Technical Challenge
Richard Bean
February 22, 2023 (v1)
Keywords: random forests, Renewable and Sustainable Energy, solar forecasting, time-series forecasting
Effective operation of a microgrid depends critically on accurate forecasting of its components. Recently, internet forecasting competitions have been used to determine the best methods for energy forecasting, with some competitions having a special focus on microgrids and COVID-19 energy-use forecasting. This paper describes forecasting for the IEEE Computational Intelligence Society 3rd Technical Challenge, which required predicting solar and building loads of a microgrid system at Monash University for the month of November 2020. The forecast achieved the lowest error rate in the competition. We review the literature on recent energy forecasting competitions and metrics and explain how the solution drew from top-ranked solutions in previous energy forecasting competitions such as the Global Energy Forecasting Competition series. The techniques can be reapplied in other forecasting endeavours, while approaches to some of the time-series forecasting are more ad hoc and specific to the... [more]
Sliding Mode Control of Ship DC Microgrid Based on an Improved Reaching Law
Chuan Xiang, Qi Cheng, Yizheng Zhu, Hongge Zhao
February 22, 2023 (v1)
Keywords: frequency division droop control, hybrid energy storage system, improved reaching law, ship DC microgrid, sliding mode control
The bus voltage of the ship DC microgrid is sensitive to the change of loads, which has an influence on the power supply quality. This paper introduces a hybrid energy storage system (HESS) that is composed of a battery set and a supercapacitor set, and further studied the control method of HESS. First of all, the topological structures of the ship DC microgrid and HESS are described. Second, combined with the frequency division droop control and voltage PI control, a sliding mode control (SMC) method is proposed to control the charge and discharge of HESS based on an improved reaching law. Finally, the simulation model of the ship DC microgrid is established for the verification of the control method. Simulation results show that: (1) HESS can overcome the shortage of the dynamic response ability of the diesel rectifier generator to the steep change of load power. The supercapacitor set and the battery set successfully respond to the high-frequency and low-frequency components of the... [more]
Sliding Mode Controllers in Energy Systems and Other Applications
Pawel Latosinski, Andrzej Bartoszewicz
February 22, 2023 (v1)
The process of obtaining the necessary electrical energy to satisfy the needs of society is becoming an increasingly difficult issue in current times [...]
Showing records 33556 to 33580 of 36336. [First] Page: 1 1340 1341 1342 1343 1344 1345 1346 1347 1348 Last
(0.23 seconds)
Change year: 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026
Filter by month: January | February | March | April | May | June | July | August | September | October | November | December