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Showing records 6476 to 6500 of 36336. [First] Page: 256 257 258 259 260 261 262 263 264 Last
Assessment of High-Electrification UK Scenarios with Varying Levels of Nuclear Power and Associated Post-Fault Behaviour
Mohamed Hadri, Vincenzo Trovato, Agnes Bialecki, Bruno Merk, Aiden Peakman
April 14, 2023 (v1)
Keywords: Batteries, electric vehicles, Energy Storage, frequency response, inertia, nuclear flexibility, power system dynamics, VRES
Renewable integration into the electricity system of Great Britain (GB) is causing considerable demand for additional flexibility from plants. In particular, a considerable share of this flexibility may be dispatched to secure post-fault transient frequency dynamics. Pursuant to the unprecedented changes to the traditional portfolio of generation sources, this work presents a detailed analysis of the potential system-level value of unlocking flexibility from nuclear electricity production. A rigorous enhanced mixed integer linear programming (MILP) unit commitment formulation is adopted to simulate several generation-demand scenarios where different layers of flexibility are associated to the operation of nuclear power plants. Moreover, the proposed optimisation model is able to assess the benefit of the large contribution to the system inertial response provided by nuclear power plants. This is made possible by considering a set of linearised inertia-dependent and multi-speed constrai... [more]
Experimental and Numerical-Driven Prediction of Automotive Shredder Residue Pyrolysis Pathways toward Gaseous Products
Rafał Ślefarski, Joanna Jójka, Paweł Czyżewski, Michał Gołębiewski, Radosław Jankowski, Jarosław Markowski, Aneta Magdziarz
April 14, 2023 (v1)
Keywords: ASR recycling, numerical modelling of pyrolysis process, pyrolysis of RDF, thermal pyrolysis of plastics, thermogravimetric analysis
There has been a gradual increase in the field of parts recovery from cars that are withdrawn from use. However, the disposal of automotive shredder residue (ASR) still remains a significant problem. ASR is refuse derived fuel (RDF), which contains mainly plastics, fiber sponges, and rubbers in different proportions, and therefore a thermal treatment of selected waste samples is applied. The presented research includes thermogravimetry (TG) analysis and differential thermogravimetric (DTG) analysis, as well as a proximate and an ultimate analysis of the ASR samples. The obtained results were processed and used as an input for modelling. The numerical calculations focused on the identification of the ASR’s average composition, the raw pyrolysis process product, its dry pyrolytic gas composition, and the combustible properties of the pyrolytic gases. The TGA analysis with three heating rate levels covered the temperature range from ambient to 800 °C. The thermal decomposition of the stud... [more]
Experimentally Verified Flow Distribution Model for a Composite Modelling System
Dominika Babička Fialová, Zdeněk Jegla
April 14, 2023 (v1)
Keywords: analytical model, composite modelling system, flow distribution, minichannel, minigap, process and power industry, steam superheater
Requirements of modern process and power technologies for compact and highly efficient equipment for transferring large heat fluxes lead to designing these apparatuses as dense parallel flow systems, ranging from conventional to minichannel dimensions according to the specific industrial application. To avoid operating issues in such complex equipment, it is vital to identify not only the local distribution of heat flux in individual parts of the heat transfer surface but also the uniformity of fluid flow distribution inside individual parallel channels of the flow system. A composite modelling system is currently being developed for accurate design of such complex heat transfer equipment. The modeling approach requires a flow distribution model enabling to yield accurate-enough predictions in reasonable time frames. The paper presents the results of complex experimental and modeling investigation of fluid flow distribution in dividing headers of tubular-type equipment. Different model... [more]
Experts versus Algorithms? Optimized Fuzzy Logic Energy Management of Autonomous PV Hybrid Systems with Battery and H2 Storage
Lisa Gerlach, Thilo Bocklisch
April 14, 2023 (v1)
Subject: Optimization
Keywords: autonomous PV hybrid system, energy management, fuzzy logic control, hybrid energy storage, Particle Swarm Optimization
Off-grid applications based on intermittent solar power benefit greatly from hybrid energy storage systems consisting of a battery short-term and a hydrogen long-term storage path. An intelligent energy management is required to balance short-, intermediate- and long-term fluctuations in electricity demand and supply, while maximizing system efficiency and minimizing component stress. An energy management was developed that combines the benefits of an expert-knowledge based fuzzy logic approach with a metaheuristic particle swarm optimization. Unlike in most existing work, interpretability of the optimized fuzzy logic controller is maintained, allowing the expert to evaluate and adjust it if deemed necessary. The energy management was tested with 65 1-year household load datasets. It was shown that the expert tuned controller is more robust to changes in load pattern then the optimized controller. However, simple readjustments restore robustness, while largely retaining the benefits ac... [more]
Research on Optimal Charging of Power Lithium-Ion Batteries in Wide Temperature Range Based on Variable Weighting Factors
Boshi Wang, Haitao Min, Weiyi Sun, Yuanbin Yu
April 14, 2023 (v1)
Keywords: ambient temperature, electric vehicles, lithium-ion battery, multi-objective charging, PSO algorithm, variable weight factor
With the popularity of electric vehicles (EV), the charging technology has become one of the bottleneck problems that limit the large-scale deployment of EVs. In this paper, a charging method using multi-stage constant current based on SOC (MCCS) is proposed, and then the charging time, charging capacity and temperature increase of the battery are optimized by multi-objective particle swarm optimization (MOPSO) algorithm. The influence of the number of charging stages, the cut-off voltage, the combination of different target weight factors and the ambient temperature on the charging strategy is further compared and discussed. Finally, according to the ambient temperature and users’ requirements of charging time, a charging strategy suitable for the specific situation is obtained by adjusting the weight factors, and the results are analyzed and justified on the basis of the experiments. The results show that the proposed strategy can intelligently make more reasonable adjustments accord... [more]
Inverse Optimal Control in State Derivative Space System with Applications in Motor Control
Feng-Chi Lee, Yuan-Wei Tseng, Rong-Ching Wu, Wen-Chuan Chen, Chin-Sheng Chen
April 14, 2023 (v1)
Keywords: DC motor control, inverse optimal control, nonlinear control, singular system, state derivative feedback, state derivative space (SDS) system
This paper mathematically explains how state derivative space (SDS) system form with state derivative related feedback can supplement standard state space system with state related feedback in control designs. Practically, inverse optimal control is attractive because it can construct a stable closed-loop system while optimal control may not have exact solution. Unlike the previous algorithms which mainly applied state feedback, in this paper inverse optimal control are carried out utilizing state derivative alone in SDS system. The effectiveness of proposed algorithms are verified by design examples of DC motor tracking control without tachometer and very challenging control problem of singular system with impulse mode. Feedback of direct measurement of state derivatives without integrations can simplify implementation and reduce cost. In addition, the proposed design methods in SDS system with state derivative feedback are analogous to those in state space system with state feedback.... [more]
Innovative Application of Model-Based Predictive Control for Low-Voltage Power Distribution Grids with Significant Distributed Generation
Nouha Dkhili, David Salas, Julien Eynard, Stéphane Thil, Stéphane Grieu
April 14, 2023 (v1)
Subject: Optimization
Keywords: computational complexity, distributed generation, flexible asset management, low-voltage power distribution grids, mixed-integer nonlinear programming, model-based predictive control, relaxation, smart grid paradigm
In past decades, the deployment of renewable-energy-based power generators, namely solar photovoltaic (PV) power generators, has been projected to cause a number of new difficulties in planning, monitoring, and control of power distribution grids. In this paper, a control scheme for flexible asset management is proposed with the aim of closing the gap between power supply and demand in a suburban low-voltage power distribution grid with significant penetration of solar PV power generation while respecting the different systems’ operational constraints, in addition to the voltage constraints prescribed by the French distribution grid operator (ENEDIS). The premise of the proposed strategy is the use of a model-based predictive control (MPC) scheme. The flexible assets used in the case study are a biogas plant and a water tower. The mixed-integer nonlinear programming (MINLP) setting due to the water tower ON/OFF controller greatly increases the computational complexity of the optimisati... [more]
High Efficiency of the Removal Process of Pb(II) and Cu(II) Ions with the Use of Fly Ash from Incineration of Sunflower and Wood Waste Using the CFBC Technology
Tomasz Kalak, Ryszard Cierpiszewski, Małgorzata Ulewicz
April 14, 2023 (v1)
Subject: Environment
Keywords: cleaner environment, fly ash from sunflower and wood residues, kinetics, Pb(II) and Cu(II) ions, removal efficiency, waste management, water quality
In these research studies, fly ash (SW-FA) resulting from the incineration of sunflower (20%) and wood (80%) waste employing the circulating fluidized bed combustion (CFBC) technology was used to analyze the possibility of removing Pb(II) and Cu(II) ions in adsorption processes. Currently, great emphasis is placed on circular economy, zero waste or climate neutrality strategies. The use of low-cost SW-FA waste seems to fit well with pro-ecological, economic and energy-saving trends. Hence, this material was characterized by various techniques, such as granulation analysis, bulk density, SEM-EDX, XRD and XRF analysis, BET, BJH, thermogravimetry, zeta potential, SEM morphology and FT-IR spectrometry. As a result of the conducted research, the factors influencing the effectiveness of the adsorption process, such as adsorbent dosage, initial and equilibrium pH, initial metal concentration and contact time, were analyzed. The maximum removal efficiency were achieved at the level of 99.8% fo... [more]
A Novel Multi-Area Distribution State Estimation Approach for Active Networks
Mohammad Gholami, Ali Abbaspour Tehrani-Fard, Matti Lehtonen, Moein Moeini-Aghtaie, Mahmud Fotuhi-Firuzabad
April 14, 2023 (v1)
Keywords: active distribution networks, decentralized control strategy, multi-area state estimation, phasor measurement units, weighted least square
This paper presents a hierarchically distributed algorithm for the execution of distribution state estimation function in active networks equipped with some phasor measurement units. The proposed algorithm employs voltage-based state estimation in rectangular form and is well-designed for large-scale active distribution networks. For this purpose, as the first step, the distribution network is supposed to be divided into some overlapped zones and local state estimations are executed in parallel for extracting operating states of these zones. Then, using coordinators in the feeders and the substation, the estimated local voltage profiles of all zones are coordinated with the local state estimation results of their neighboring zones. In this regard, each coordinator runs a state estimation process for the border buses (overlapped buses and buses with tie-lines) of its zones and based on the results for voltage phasor of border buses, the local voltage profiles in non-border buses of its... [more]
In Situ Tests of the Monitoring and Diagnostic System for Individual Photovoltaic Panels
Mariusz Woszczyński, Joanna Rogala-Rojek, Sławomir Bartoszek, Marian Gaiceanu, Krzysztof Filipowicz, Krzysztof Kotwica
April 14, 2023 (v1)
Keywords: malfunctions, photovoltaic panel, prediction, wireless diagnostic system
The dynamic development of photovoltaic systems in the world and in Poland is mainly related to the drop in prices of installation components. Currently, electricity from photovoltaics is one of the cheapest renewable energy sources. The basis for effective energy generation is, first of all, failure-free operation of the photovoltaic system over a long period of operation, up to 30 years. The paper presents the results of a study of a low-cost distributed system for monitoring and diagnosis of photovoltaic installations (SmartPV), capable of assessing the operating parameters of individual photovoltaic panels. The devices were tested by connecting them to an existing photovoltaic installation, allowing the measurement of operational parameters of individual photovoltaic panels as well as operating conditions such as illuminance and panel surface temperature. The data were recorded on a server using wireless Wi-Fi transmission. Interesting data were collected during the tests, confirmi... [more]
Analysis of Harmful Exhaust Gas Concentrations in Cloud behind a Vehicle with a Spark Ignition Engine
Łukasz Rymaniak, Michalina Kamińska, Natalia Szymlet, Rafał Grzeszczyk
April 14, 2023 (v1)
Keywords: car emission, combustion engines, remote sensing system, teledetection
The article presents issues related to the assessment of concentrations of harmful substances in the exhaust gas cloud behind the vehicle. In the theoretical part, considerations about the harmfulness of exhaust gases and methods of detection of chemical compounds were made, and the issues of von Karman vortices and the Lambert-Beer law were referred to. The test object was a vehicle equipped with an SI engine meeting the Euro 3 standard. The drive unit had a capacity of 2.8 dm3, a rated power reaching 142 kW at 5500 rpm and a maximum torque of 280 Nm at 3500 rpm. The measurements of the dilution of the exhaust gas cloud behind the vehicle were made in stationary conditions (laboratory) and during actual operation in the Poznań agglomeration. In the research, technically advanced equipment from the PEMS group was used. In the analysis of the obtained results, detailed considerations were made regarding the influence of the location of the measuring probe in relation to the exhaust syst... [more]
Conversion of Slaughterhouse Wastes to Solid Fuel Using Hydrothermal Carbonization
Jongkeun Lee, Sungwan Cho, Daegi Kim, JunHee Ryu, Kwanyong Lee, Haegeun Chung, Ki Young Park
April 14, 2023 (v1)
Subject: Materials
Keywords: hydrochar, hydrothermal carbonization, slaughterhouse waste, solid fuel
In this study, cattle and pig slaughterhouse wastes (SHWs) were hydrothermally carbonized at 150−300 °C, and the properties of SHW-derived hydrochar were evaluated for its use as a solid fuel. The results demonstrated that increasing the hydrothermal carbonization (HTC) treatment temperature improved the energy-related properties (i.e., fuel ratio, higher heating value, and coalification degree) of both the cattle and pig SHW-derived hydrochars. However, the improvements of cattle SHW-derived hydrochars were not as dramatic as that of pig SHW-derived hydrochars, due to the lipid-rich components that do not participate in the HTC reaction. In this regard, there was no merit of using HTC treatment on cattle SHW for the production of hydrochar or using the hydrochar as a solid fuel in terms of energy retention efficiency. On the other hand, a mild HTC treatment at approximately 200 °C was deemed suitable for converting pig SHW to value-added solid fuel. The findings of this study suggest... [more]
Assessing the Level of Energy and Climate Sustainability in the European Union Countries in the Context of the European Green Deal Strategy and Agenda 2030
Magdalena Tutak, Jarosław Brodny, Peter Bindzár
April 14, 2023 (v1)
Subject: Environment
Keywords: Agenda 2030, climate, Energy, entropy–COPRAS method, European Green Deal, European Union, sustainable development
The concept of sustainable development integrates activities in the economic, environmental and social areas. Energy policy, which is very closely linked to climate protection, is of key importance for achieving the goals of the concept in question. All these elements are connected by the European Green Deal strategy and Agenda 2030. Their implementation requires the evaluation of previous actions undertaken within the framework of sustainable development and the diagnosis of the current state. Therefore, this article presents the results of such research in relation to the key industry connected with this process, which is the energy sector. The research methodology was based on the analysis of 14 indicators that characterize four basic areas (dimensions) related to energy and climate sustainability. These indicators concern energy and climate as well as social and economic issues. This approach makes it possible to comprehensively assess the actions taken so far in the implementation... [more]
Two-Step Predict and Correct Non-Intrusive Parametric Model Order Reduction for Changing Well Locations Using a Machine Learning Framework
Hardikkumar Zalavadia, Eduardo Gildin
April 14, 2023 (v1)
Keywords: Artificial Neural Network, flow diagnostics, Machine Learning, non-intrusive parametric model order reduction, Proper Orthogonal Decomposition, Random Forests, well location
The objective of this paper is to develop a two-step predict and correct non-intrusive Parametric Model Order Reduction (PMOR) methodology for the problem of changing well locations in an oil field that can eventually be used for well placement optimization to gain significant computational savings. In this work, we propose a two-step PMOR procedure, where, in the first step, a Proper Orthogonal Decomposition (POD)-based strategy that is non-intrusive to the simulator source code is introduced, as opposed to the convention of using POD as a simulator intrusive procedure. The non-intrusiveness of the proposed technique stems from formulating a novel Machine Learning (ML)-based framework used with POD. The features of the ML model (Random Forest was used here) are designed such that they take into consideration the temporal evolution of the state solutions and thereby avoid simulator access for the time dependency of the solutions. The proposed PMOR method is global, since a single reduc... [more]
State-of-the-Art of Strategies to Reduce Exhaust Emissions from Diesel Engine Vehicles
S. M. Ashrafur Rahman, I. M. Rizwanul Fattah, Hwai Chyuan Ong, M. F. M. A. Zamri
April 14, 2023 (v1)
Keywords: air quality improvement, biodiesel, diesel emission, Renewable and Sustainable Energy
Compression ignition engines play a significant role in the development of a country. They are widely used due to their innate properties such as high efficiency, high power output, and durability. However, they are considered one of the key contributors to transport-related emission and have recently been identified as carcinogenic. Thus, it is important to modify the designs and processes before, during, and after combustion to reduce the emissions to meet the strict emission regulations. The paper discusses the pros and cons of different strategies to reduce emissions of a diesel engine. An overview of various techniques to modify the pre-combustion engine design aspects has been discussed first. After that, fuel modifications techniques during combustion to improve the fuel properties to reduce the engine-out emission is discussed. Finally, post-combustion after-treatment devices are briefly discussed, which help improve the air quality of our environment.
Multi-Level Multi-Input Converter for Hybrid Renewable Energy Generators
Salvatore Foti, Antonio Testa, Salvatore De Caro, Luigi Danilo Tornello, Giacomo Scelba, Mario Cacciato
April 14, 2023 (v1)
Keywords: maximum power point tracking, multi-input converter, multi-level inverter, open-end winding, renewable energy sources, solar power, wind power
A three-phase multi-level multi-input power converter topology is presented for grid-connected applications. It encompasses a three-phase transformer that is operated on the primary side in an open-end winding configuration. Thus, the primary winding is supplied on one side by a three-phase N-level neutral point clamped inverter and, on the other side, by an auxiliary two-level inverter. A key feature of the proposed approach is that the N-level inverter is able to perform independent management of N − 1 input power sources, thus avoiding the need for additional dc/dc power converters in hybrid multi-source systems. Moreover, it can manage an energy storage system connected to the dc-bus of the two-level inverter. The N-level inverter operates at a low switching frequency and can be equipped with very low on-state voltage drop Insulated-Gate Bipolar Transistor (IGBT) devices, while the auxiliary inverter is instead operated at low voltage according to a conventional high-frequency two-... [more]
Microscale Processes and Dynamics during CH4−CO2 Guest-Molecule Exchange in Gas Hydrates
Elke Kossel, Nikolaus K. Bigalke, Christian Deusner, Matthias Haeckel
April 14, 2023 (v1)
Subject: Materials
Keywords: CH4 hydrate, CO2 hydrate, conversion mechanism, gas hydrate, guest-molecule exchange, laboratory experiments, mixed-gas hydrates, Raman spectroscopy, solid-state diffusion
The exchange of CH4 by CO2 in gas hydrates is of interest for the production of natural gas from methane hydrate with net zero climate gas balance, and for managing risks that are related to sediment destabilization and mobilization after gas-hydrate dissociation. Several experimental studies on the dynamics and efficiency of the process exist, but the results seem to be partly inconsistent. We used confocal Raman spectroscopy to map an area of several tens to hundreds µm of a CH4 hydrate sample during its exposure to liquid and gaseous CO2. On this scale, we could identify and follow different processes in the sample that occur in parallel. Next to guest-molecule exchange, gas-hydrate dissociation also contributes to the release of CH4. During our examination period, about 50% of the CO2 was bound by exchange for CH4 molecules, while the other half was bound by new formation of CO2 hydrates. We evaluated single gas-hydrate grains with confirmed gas exchange and applied a diffusion equ... [more]
Integrated Optimization of Routing and Energy Management for Electric Vehicles in Delivery Scheduling
Lixing Wang, Zhenning Wu, Changyong Cao
April 14, 2023 (v1)
Keywords: electric vehicle, energy consumption, energy management, logistics, Supply Chain, vehicle routing problem
At present, electric vehicles (EVs) are attracting increasing attention and have great potential for replacing fossil-fueled vehicles, especially for logistics applications. However, energy management for EVs is essential for them to be advantageous owing to their limitations with regard to battery capacity and recharging times. Therefore, inefficiencies can be expected for EV-based logistical operations without an energy management plan, which is not necessarily considered in traditional routing exercises. In this study, for the logistics application of EVs to manage energy and schedule the vehicle route, a system is proposed. The system comprises two parts: (1) a case-based reasoning subsystem to forecast the energy consumption and travel time for each route section, and (2) a genetic algorithm to optimize vehicle routing with an energy consumption situation as a new constraint. A dynamic adjustment algorithm is also adopted to achieve a rapid response to accidents in which the vehic... [more]
A Procedure to Calculate First-Order Wave-Structure Interaction Loads in Wave Farms and Other Multi-Body Structures Subjected to Inhomogeneous Waves
José Miguel Rodrigues
April 14, 2023 (v1)
Keywords: arrays, inhomogeneous waves, multi-body interaction, numerical modeling, very large floating structure, Wave Energy, wave energy converter, wave loads, wave scattering, wave structure interaction
A typical assumption when performing analytical, numerical, and experimental studies in wave−structure interaction in multi-body problems such as for wave farms and very large floating structures is the homogeneity of the wave field. Important interactions between the floating elements are dependent on the direction, amplitude, and phase of the waves acting on each. Then, wave homogeneity is probably unrealistic in near-shore areas where these installations are to be deployed. In the present work, an existing interaction method, which allows the use of standard boundary element diffraction codes for solving the first order wave structure linear potential for each unique geometry in the problem, is shown to be able to account for inhomogeneous sea states across the domain of a multi-body problem requiring only minimal modification to its implementation. A procedure to use the method to include arbitrary incoming undisturbed wave conditions at each body is presented. A verification study... [more]
Developing a Methodology for Aggregated Assessment of the Economic Sustainability of Pig Farms
Agata Malak-Rawlikowska, Monika Gębska, Robert Hoste, Christine Leeb, Claudio Montanari, Michael Wallace, Kees de Roest
April 14, 2023 (v1)
Subject: Environment
Keywords: aggregated assessment, economic sustainability, entrepreneurship, pig production, resilience, risk management, technical performance
The economic sustainability of agricultural production is a crucial concern for most farmers, especially for pig producers who face dynamic changes in the market. Approaches for economic sustainability assessment found in the literature are mainly focused on the short-term economic viability of the farm and rarely take a long-term perspective. In this paper, we propose and test a new, innovative assessment and aggregation method, which brings about a broader view on more long-term aspects of economic sustainability. This wider view on economic sustainability, in addition to classical concepts such as technical efficiency, labor productivity, and farm profitability, incorporates the assessment of the levels of entrepreneurship, risk management, and the resilience of the invested resources. All indicators were scaled and aggregated using scaling and weighting procedures proposed by experts into subthemes and themes. The methodology was tested on a sample of 131 pig farms located in 6 EU... [more]
Optimization of 5G Networks for Smart Logistics
Emil Jatib Khatib, Raquel Barco
April 14, 2023 (v1)
Subject: Optimization
Keywords: 5G, industrial IoT, Industry 4.0, logistics
Industry 4.0 is generalizing the use of wireless connectivity in manufacturing and logistics. Specifically, in Smart Logistics, novel Industry 4.0 technologies are used to enable agile supply chains, with reduced management, energy and storage costs. Cellular networks allow connectivity throughout all the scenarios where logistics processes take place, each having their own challenges. This paper explores such scenarios and challenges, and proposes 5G technology as a global unified connectivity solution. Moreover, this paper proposes a system for exploiting the application-specific optimization capabilities of 5G networks to better cater for the needs of Smart Logistics. An application traffic modeling process is proposed, along with a proactive approach to network optimization that can improve the Quality of Service and reduce connectivity costs.
Global Oil Price and Innovation for Sustainability: The Impact of R&D Spending, Oil Price and Oil Price Volatility on GHG Emissions
Elyas Abdulahi Mohamued, Masood Ahmed, Paula Pypłacz, Katarzyna Liczmańska-Kopcewicz, Muhammad Asif Khan
April 14, 2023 (v1)
Subject: Environment
Keywords: economic growth, GHG emissions, innovations, oil price volatility, R&D spending, renewal energy, Sustainability
Recently, sustainable economic growth has taken the front line of the global development agenda. The common dependency on fossil fuel energy, greenhouse gas (GHG) emissions and the continuous rising demands for energy have posed challenges that put the world in a climate change trap. This work empirically analyzes the effect of innovation, oil price, oil price volatility and economic growth on GHG emissions over the period of 1991−2015. The study compares the emission level between European Union countries (EU) (26), oil-producing countries (22), China and the United States of America (USA) using the Driscoll−Kraay model. The main empirical finding points to a positive effect of innovation on GHG emission reduction initiatives in oil-importing economies. Particularly, EU countries significantly minimized emissions due to innovation, followed by China and the USA. Contrarily, the effect of innovation increases GHG emission in oil-exporting economies. The results also indicate broader si... [more]
Analysis and Pareto Frontier Based Tradeoff Design of an Integrated Magnetic Structure for a CLLC Resonant Converter
Gang Wang, Qiyu Hu, Chunyu Xu, Bin Zhao, Xiaobao Su
April 14, 2023 (v1)
Subject: Optimization
Keywords: CLLC resonant converter, integrated magnetic structure, Pareto optimization procedure, resonant inductance, transformer
This paper proposes an integrated magnetic structure for a CLLC resonant converter. With the proposed integrated magnetic structure, two resonant inductances and the transformer are integrated into one magnetic core, which improves the power density of the CLLC resonant converter. In the proposed integrated magnetic structure, two resonant inductances are decoupled with the transformer and can be adjusted by the number of turns in each inductance. Furthermore, two resonant inductances are coupled to reduce the number of turns in each inductance. As a result, the conduction loss can be reduced. The trade-off design of the integrated magnetic structure is carried out based on the Pareto optimization procedure. With the Pareto optimization procedure, both high efficiency and high-power density can be achieved. The proposed integrated magnetic structure is validated by theoretical analysis, simulations, and experiments.
Tribo-Electrostatic Separation Analysis of a Beneficial Solution in the Recycling of Mixed Poly(Ethylene Terephthalate) and High-Density Polyethylene
Wieslaw Lyskawinski, Mariusz Baranski, Cezary Jedryczka, Jacek Mikolajewicz, Roman Regulski, Dariusz Sedziak, Krzysztof Netter, Dominik Rybarczyk, Dorota Czarnecka-Komorowska, Mateusz Barczewski
April 14, 2023 (v1)
Subject: Materials
Keywords: electric field, electrostatic separation, PE-HD, PET, tribocharging, vision system
The aim of this study was to investigate and analyze the impact of selected parameters during the tribocharging process of shredded poly(ethylene terephthalate) (PET) and high-density polyethylene (PE-HD) plastics on accumulated electric charge and electrostatic separation effectiveness. The accumulation of electric charge on surfaces of polymer particles as a result of their circular motion forced by the airflow cyclone container was investigated. The impact of the container material, time of tribocharging and the airflow intensity were experimentally examined. A container in which the particles of the considered polymers are electrified with opposite charges was selected. A high ability to accumulate surface charge on small particles of both polymers was demonstrated. The electrified mixed PET/PE-HD was subjected to a separation process. An electrostatic separator designed and constructed by the authors was used for to the separation. In turn, to assess the effectiveness of this sepa... [more]
Gate Drive Controller for Low Voltage DC Hybrid Circuit Breaker
Hyosung Kim
April 14, 2023 (v1)
Keywords: arcless, conduction loss, gate drive control, hybrid circuit breaker, low voltage DC (LVDC)
With the advent of direct current (DC) loads such as LED lighting, IT equipment, electric vehicles, and DC powers generated from renewable energy sources, low voltage DC (LVDC) distribution system is becoming a hot issue. One of the hurdles in the LVDC distribution system is arc flash at the contact points that occurs during the circuit is opening. Unlike alternating current, direct current has no zero points and sustains constantly. Therefore, there is a risk of electric fire due to continuous generating arcs when the load current is interrupted with an existing electrical contact type circuit breaker. Recently, the concept of a hybrid circuit breaker that takes advantage of traditional electrical contact type switch and the arcless semiconductor switch has been proposed, but how to cooperatively operate the two switches has become an issue. This paper analyzes the principle of a hybrid circuit breaker for blocking LVDC current and proposes a gate drive controller for it. Through 400V... [more]
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