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Showing records 31832 to 31856 of 43292. [First] Page: 1 1271 1272 1273 1274 1275 1276 1277 1278 1279 Last
Robust Dynamic Control of Constant-Current-Source-Based Dual-Active-Bridge DC/DC Converter Used for Off-Board EV Charging
Muhammad Husnain Ashfaq, Zulfiqar Ali Memon, Muhammad Akmal Chaudhary, Muhammad Talha, Jeyraj Selvaraj, Nasrudin Abd Rahim, Muhammad Majid Hussain.
February 24, 2023 (v1)
Keywords: bidirectional DAB–DC/DC converter, constant-current control, fast dynamic performance, off-board EV charging, Renewable and Sustainable Energy.
Due to the high power density, inherent zero-voltage-switching (ZVS), and high voltage-conversation ratio, the current source-based isolated dual-active-bridge DAB−DC/DC converters are extensively used for charging EVs under constant-current mode. However, the fast dynamic response of an output current is a crucial requirement for dual-active-bridge DC/DC converters operating as a constant-current source. This study proposes a fast current controller (FCC) for tracking the desired output current under various input/output parameter disturbances/variations. The proposed control strategy can ensure a fast transient response with negligible overshoot/undershoot for output current during start-up and when there are variations in the load or input voltage. Furthermore, the dynamic behavior of the current control against change in the reference current value has also been improved. A constant-current-based DAB−DC/DC converter is modeled and simulated in MATLAB/Simulink software and a scaled-... [more]
Model-Based Investigations of Porous Si-Based Anodes for Lithium-Ion Batteries with Effects of Volume Changes
Xingyu Zhang, Jian Chen, Yinhua Bao.
February 24, 2023 (v1)
Keywords: design space, electrochemical performance, lithium-ion battery, Si-based anode, theoretical model, volume change.
The large volume change of Si has been a roadblock in deploying high-capacity Si-based electrodes in lithium-ion batteries, causing salient structural changes and prominent chemo-mechanical coupled degradation. However, the effects of the volume change of Si-based active materials on the structural parameters have not been fully understood, especially for theoretical prediction through fundamental parameters. In this work, we develop a real-time porosity model featuring volume changes of active materials and electrode dimensions for Si-based anodes, predicting the evolution of porosity and electrode dimensions well through the use of basic electrode parameters. The allowable design space of mass fractions of Si is predicted to be lower than 6% for initial porosity in the range of 26−60% based on the permitted limits of maximum volume change of electrode dimensions and minimum porosity at full lithiation. Subsequently, the effects of changes in porosity and electrode dimensions on the g... [more]
Numerical Simulation of the Combination of Novel Spiral Fin and Phase Change Material for Cylindrical Lithium-Ion Batteries in Passive Thermal Management
Jiahao Liu, Qingwen Ma, Xianbin Li.
February 24, 2023 (v1)
Subject: Materials
Keywords: cylindrical battery, phase change material, spiral fin, thermal management.
This paper uses ANSYS Fluent to simulate the heat dissipation of a phase change material (PCM)-based cooling system combined with novel spiral fins for a single battery cell. Compared with a circular fin, a spiral fin with the same contact length can reduce the battery temperature by 0.72 °C, and has a superior temperature uniformity. For the PCM-based system with spiral fins, increasing the spiral width from 2 mm to 8 mm can reduce the battery temperature from 41.27 °C to 39.9 °C. As the number of spiral turns increases from two to eight, the maximum temperature rise of the battery shows a downward trend, and six turns can effectively satisfy the heat dissipation requirements of the battery. With respect to the effect of ambient temperature on the cooling performance, the system with a PCM-spiral fin still exhibits optimal cooling effectiveness compared with the pure PCM and PCM-circular systems.
Solar Energy Implementation in Manufacturing Industry Using Multi-Criteria Decision-Making Fuzzy TOPSIS and S4 Framework
Pedro Ponce, Citlaly Pérez, Aminah Robinson Fayek, Arturo Molina.
February 24, 2023 (v1)
Keywords: fuzzy decision-making, Fuzzy TOPSIS, multi-criteria decision-making, S4 framework, solar energy, solar panel.
The demand for electrical energy has increased since the population of and automation in factories have grown. The manufacturing industry has been growing dramatically due to the fast-changing market, so electrical energy for manufacturing processes has increased. As a result, solar energy has been installed to supply electrical energy. Thus, assessing a solar panel company could be a complex task for manufacturing companies that need to assess, install, and operate solar panels when several criteria with different hierarchies from decision-makers are involved. In addition, the stages of a solar panel system could be divided into analysis, installation, operation, and disposal, and all of them must be considered. Thus, the solar panel company must provide a holistic solution for each stage of the solar panel lifespan. This paper provides a fuzzy decision-making approach (Fuzzy TOPSIS) to deal with the assessment of solar companies using the S4 framework in which the sensing, smart, sus... [more]
Impacts of Intake Throttling on the Combustion Characteristics and Emissions of a Light-Duty Diesel Engine under the Idle Mode
Meng Lyu, Yousif Alsulaiman, Matthew J. Hall, Ronald D. Matthews.
February 24, 2023 (v1)
Keywords: combustion characteristics, exhaust emissions, intake throttling, light-duty diesel engine.
Intake throttling has been verified as an effective approach to increase the exhaust temperature of diesel engines, which could benefit the catalytic efficiency aftertreatment. To better understand the influence of intake throttling on the combustion characteristics and exhaust emissions of light-duty diesel engines operating under idle mode, a light-duty diesel engine was experimentally investigated. This study is a follow-on to previous studies on the effect of throttling on light-duty diesel engine exhaust temperatures and emissions. Tests were conducted at a fixed idle speed of 1100 rpm, and the throttle position and intake manifold air pressure (MAP) were varied. The in-cylinder pressure, pressure rise rate, heat release rate (HRR), in-cylinder temperature, exhaust temperature, and regular gaseous emissions were analyzed. The results indicated that under the influence of intake throttling, the MAP decreased from 101 kPa under wide-open-throttle (WOT) conditions to 52.5 kPa under t... [more]
Method of Qualitative−Environmental Choice of Devices Converting Green Energy
Tadeusz Olejarz, Dominika Siwiec, Andrzej Pacana.
February 24, 2023 (v1)
Subject: Environment
Keywords: decision making, green energy, MAP method, mechanical engineering, price–qualitative analysis, production engineering, RES, Solar Panels, sustainable development.
In the plan of the European Green Deal, the European Union assumed that by 2050 Europe will become the first climate-neutral continent in the world. This will be supported by alternative (renewable) energy sources (RESs), also termed green energy (GE). Their use should have long-term environmental benefits. To do this, it is necessary to skillfully select RES products. Therefore, the purpose is to develop a method for selecting devices that convert to GE, including not only qualitative criteria, but also environmental criteria and their price. The method is based on customer requirements and expert knowledge. The general concept of the method allows for the assessment of selected qualitative and environmental criteria of products and determining the price of purchase of these products. In a hybrid way, the following techniques were used: SMARTER method, brainstorming (BM), MAP method (alternative-punctual Czechowski’ method), ACJ method (price−qualitative analysis). Based on the result... [more]
Flat Unglazed Transpired Solar Collector: Performance Probability Prediction Approach Using Monte Carlo Simulation Technique
Sajna Parimita Panigrahi, Sarat Kumar Maharana, Thejaraju Rajashekaraiah, Ravichandran Gopalashetty, Mohsen Sharifpur, Mohammad Hossein Ahmadi, C. Ahamed Saleel, Mohamed Abbas.
February 24, 2023 (v1)
Keywords: Monte Carlo simulation, probability prediction, solar energy, unglazed transpired solar collector (UTC).
Engineering applications including food processing, wastewater treatment, home heating, commercial heating, and institutional heating successfully use unglazed transpired solar collectors (UTCs). Trapping of solar energy is the prime goal of developing an unglazed transpired solar collector. The UTC is usually developed in and around the walls of the building and absorbs the solar energy to heat the air. One of the key challenges faced by the UTC designer is the prediction of performance and its warranty under uncertain operating conditions of flow variables. Some of the flow features are the velocity distribution, plate temperature, exit temperature and perforation location. The objective of the present study was to establish correlations among these flow features and demonstrate a method of predicting the performance of the UTC. Hence, a correlation matrix was generated from the dataset prepared after solving the airflow over a perforated flat UTC. Further, both strong and weak corre... [more]
Short-Term and Medium-Term Electricity Sales Forecasting Method Based on Deep Spatio-Temporal Residual Network
Min Cao, Jinfeng Wang, Xiaochen Sun, Zhengmou Ren, Haokai Chai, Jie Yan, Ning Li.
February 24, 2023 (v1)
Keywords: convolutional neural network, electricity sales forecasting, external factors, short- and medium-term forecasting, spatio-temporal data, ST-ResNet.
The forecasting of electricity sales is directly related to the power generation planning of power enterprises and the progress of the generation tasks. Aiming at the problem that traditional forecasting methods cannot properly deal with the actual data offset caused by external factors, such as the weather, season, and spatial attributes, this paper proposes a method of electricity sales forecasting based on a deep spatio-temporal residual network (ST-ResNet). The method not only relies on the temporal correlation of electricity sales data but also introduces the influence of external factors and spatial correlation, which greatly enhances the fitting degree of each parameter of the model. Moreover, the residual module and the convolution module are fused to effectively reduce the damage of the deep convolutional process to the training effectiveness. Finally, the three comparison experiments of the ultra-short term, short term and medium term show that the MAPE forecasted by the ST-R... [more]
Numerical Study on Hydraulic Fracture Propagation in a Layered Continental Shale Reservoir
Lili Han, Yanyan Li, Wei Hu, Siyu Wei, Wei Wang, Fengyan Zhang, Ye Wang.
February 24, 2023 (v1)
Keywords: bedding, fracture height growth, hydraulic fracturing, shale reservoir.
The distribution of beddings varies greatly in shale reservoirs. The influence of beddings on hydraulic fracture propagation has often been studied using simplified geological models, i.e., uniformly distributed bedding models. However, the propagation processes of hydraulic fractures in shale reservoirs with complicated distributed beddings remains unclear. In this research, an outcrop-data-based bedding model of a continental shale formation in the Ordos Basin, China, is built. A mathematical model for fracture propagation is built using the discrete element method and is then verified by a hydraulic fracturing experiment. Reservoir-scale simulations are employed to investigate the influence of geological factors and engineering factors on fracture geometry. The study finds that beddings have significant inhibitory effects on fracture height growth; hydraulic fractures have difficulty in breaking through zones with densely distributed beddings. If a hydraulic fracture encounters a be... [more]
Overview of Research Status of DC Bias and Its Suppression in Power Transformers
Youliang Sun, Li Zhang, Zhuangzhuang Zhang, Dong Wang.
February 24, 2023 (v1)
Keywords: DC bias, electromagnetic characteristics, transformers, vibration.
In this article, the sources of DC bias and its effects on power transformers are first summarized. Secondly, the article classifies and summarizes the current DC bias calculation problems of power transformers, and puts forward some interesting viewpoints on the research logic of related calculations. The current processing methods of DC bias effect are classified and discussed, their advantages and disadvantages are compared, and the logic flow of DC bias effect processing is proposed. Finally, the current research on DC bias voltage of power transformers is summarized, and the progress and deficiencies of current research are pointed out, which has certain reference value for future research on DC bias voltage and its suppression.
A Machine Learning-Based Method for Identifying Critical Distance Relays for Transient Stability Studies
Ramin Vakili, Mojdeh Khorsand.
February 24, 2023 (v1)
Keywords: distance relays, identifying critical protective relays, modeling protective relays in stability studies, power system protection, random forest classifier, relay misoperation, transient stability study.
Protective relays play a crucial role in defining the dynamic responses of power systems during and after faults. Therefore, modeling protective relays in stability studies is crucial for enhancing the accuracy of these studies. Modeling all the relays in a bulk power system is a challenging task due to the limitations of stability software and the difficulties of keeping track of the changes in the setting information of these relays. Distance relays are one of the most important protective relays that are not properly modeled in current practices of stability studies. Hence, using the Random Forest algorithm, a fast machine learning-based method is developed in this paper that identifies the distance relays required to be modeled in stability studies of a contingency, referred to as critical distance relays (CDRs). GE positive sequence load flow analysis (PSLF) software is used to perform stability studies. The method is tested using 2018 summer peak load data of Western Electricity... [more]
A Comprehensive Tool for Scenario Generation of Solar Irradiance Profiles
Amedeo Buonanno, Martina Caliano, Marialaura Di Somma, Giorgio Graditi, Maria Valenti.
February 24, 2023 (v1)
Keywords: scenario generation, scenario reduction, smart grid, solar irradiance profiles.
Despite their positive effects on the decarbonization of energy systems, renewable energy sources can dramatically influence the short-term scheduling of distributed energy resources (DER) in smart grids due to their intermittent and non-programmable nature. Renewables’ uncertainties need to be properly considered in order to avoid DER operation strategies that may deviate from the optimal ones. This paper presents a comprehensive tool for the scenario generation of solar irradiance profiles by using historical data for a specific location. The tool is particularly useful for creating scenarios in the context of the stochastic operation optimization of DER systems. Making use of the Roulette Wheel mechanism for generating an initial set of scenarios, the tool applies a reduction process based on the Fast-Forward method, which allows the preservation of the most representative ones while reducing the computational efforts in the next potential stochastic optimization phase. From the app... [more]
Improving the Efficiency of Environmental Temperature Control in Homes and Buildings
Murat Kunelbayev, Yedilkhan Amirgaliyev, Talgat Sundetov.
February 24, 2023 (v1)
Subject: Environment
Keywords: control controller, flat solar collector, photovoltaic panel, sensors, temperature control in buildings.
This research developed an effective environmental temperature control system for homes and buildings. The study used a photovoltaic panel (PV) and developed a solar installation with thermosiphon circulation, which has a flat solar collector and heat-insulating translucent glass with double glazing with reduced pressure. The coolant is made of thin-walled corrugated stainless pipe. The heat from the solar flux heats the liquid removed from the collector, and cold water from the siphon enters its place. There is a constant circulation of heat, which increases heat transfer efficiency by eliminating additional partitions between the panel and thermal insulation. We have also developed a solar system control controller, which includes an electronic unit with six sensors. The six sensors are controlled by the STM32 programmable Logistics Integrated circuit (FPGA), designed to monitor the entire solar system, and the drives include power relays. The performance of the photovoltaic panel an... [more]
Comparative Analysis of Power Distribution Systems with Individual Prosumers Owing Photovoltaic Installations and Solar Energy Communities in Terms of Profitability and Hosting Capacity
Illia Diahovchenko, Lubov Petrichenko.
February 24, 2023 (v1)
Keywords: distributed generation, energy community, energy losses, hosting capacity, photovoltaic installation, profitability, prosumer.
Future energy markets are foreseen to integrate multiple entities located mainly at the distribution level of the grid so that consumers can participate in energy trading while acting as individual prosumers or by forming energy communities. To ensure the smooth integration of prosumers and satisfy the effective operation of the power distribution systems (PDSs), it is important to fundamentally assess their performance for different grid development scenarios. This paper aims to estimate and compare the hosting capacity (HC) thresholds and profitability for two alternatives: (a) when the PDS experiences rapid growth of scattered individual prosumers with photovoltaic (PV) installations and (b) when prosumers intend to formulate a medium-scale energy community, which is a single source located in one node. Maximization of the profits of decision-makers and maximization of the capacity of the PV generation were set as the two objectives for the optimization tasks. It has been analyzed h... [more]
Robust Fractional MPPT-Based Moth-Flame Optimization Algorithm for Thermoelectric Generation Applications
Hegazy Rezk, Magdy M. Zaky, Mohemmed Alhaider, Mohamed A. Tolba.
February 24, 2023 (v1)
Keywords: Energy Efficiency, fractional order control, MPPT, optimization methodologies, TEG.
Depending on the temperature difference between the hot and cold sides of the thermoelectric generator (TEG), the output performance of the TEG can be produced. This means that it is necessary to force a TEG based on robust maximum power point tracking (MPPT) to operate close to its MPP at any given temperature or load. In this paper, an improved fractional MPPT (IFMPPT) is proposed in order to increase the amount of energy that can be harvested from TEGs. According to the suggested method, fractional order control is used. A moth-flame optimizer (MFO) was used to determine IFMPPT’s optimal parameters. A comparison of the results obtained by the MFO is made with those obtained by a particle swarm optimizer, genetic algorithm, gray wolf optimizer, seagull optimization algorithm, and tunicate swarm algorithm in order to demonstrate MFO’s superiority. IFMPPT’s primary objective is to enhance dynamic responses and exclude steady-state oscillations. Consequently, incremental resistance and... [more]
Improved Moth Flame Optimization Approach for Parameter Estimation of Induction Motor
Zekharya Danin, Abhishek Sharma, Moshe Averbukh, Arabinda Meher.
February 24, 2023 (v1)
Subject: Optimization
Keywords: experimental validations, induction motors, moth flame optimization, parameters extraction.
The effective deployment of electrical energy has received attention because of its environmental implications. On the other hand, induction motors are the primary equipment used in many industries. Industrial facilities demand the maximum percentage of energy. This energy demand is determined by the operating circumstances imposed by the internal characteristics of the induction motor. Because internal parameters of an induction motor are not immediately measurable, they must be obtained through an identification process. This paper proposed an improved version of moth flame optimization (IMFO) for the efficient parameter estimation of induction motors. A steady-state equivalent circuit of the induction motor is employed for the simulation. The proposed technique handles the parameter estimation problem better than moth flame optimization (MFO), particle swarm optimization (PSO), the flower pollination algorithm (FPA), the tunicate swarm algorithm (TSA), and the sine cosine algorithm... [more]
A Method for Evaluating the Dominant Seepage Channel of Water Flooding in Layered Sandstone Reservoir
Changlin Liao, Xinwei Liao, Ruifeng Wang, Jing Chen, Jiaqi Wu, Min Feng.
February 24, 2023 (v1)
Subject: Environment
Keywords: classification chart, dominant seepage channel, evaluation method, sandstone reservoir, water-cut derivative.
A method for evaluating the dominant seepage channel (DSC) water flooding in a layered sandstone reservoir is proposed and applied in an oilfield based on the water-cut derivative. The water-cut derivative curve of the reservoir with DSC shows double peaks. Therefore, based on the analysis of geology and production characteristics, the evaluation method of DSC is established. The evaluation index is proposed to quantitatively characterize the development degree of DSC and determine its distribution in a water-flooding reservoir. The test data validate that the proposed method can not only accurately determine the DSC and quantitatively evaluate its development degree, but also show its dynamic change. This method will be a powerful guide for water controlling and oil stabilizing in the adjustment stage of sandstone reservoirs.
Accuracy Analysis of the Indoor Location System Based on Bluetooth Low-Energy RSSI Measurements
Dariusz Janczak, Wojciech Walendziuk, Maciej Sadowski, Andrzej Zankiewicz, Krzysztof Konopko, Adam Idzkowski.
February 24, 2023 (v1)
Subject: Environment
Keywords: Bluetooth Low Energy, evacuation system, Industry 4.0, localization, proximity tracing system, received signal strength intensity, RSSI, smart building.
Systems for determining the position of objects inside buildings have a wide range of applications, such as the surveillance of people’s movements in hospitals, and of goods or mobile robots in warehouse spaces or production halls. Hence, there is a need for the development of methods that could be applied for those purposes. This paper presents the results of research on an experimental system for localizing people being evacuated from a building. The proposed solution was designed as a part of the building evacuation management system. The method used for finding location belongs to the class of proximity-type methods and is based on Received Signal Strength Indicator (RSSI) information of Bluetooth Low-Energy (BLE) devices. The devices used to build the system (BLE receivers) and the evacuee’s wristband (BLE transmitters) are low-budget electronic modules. The paper presents preliminary research and the process of selecting data processing methods, as well as the results of tests of... [more]
The Electricity Generation Dispatch in Mexico: An Uncertain Road towards Sustainability
Karla Miranda, Ana Victoria Tarín-Santiso, Armando Llamas-Terrés, Oliver Probst.
February 24, 2023 (v1)
Subject: Environment
Keywords: clean energy transition, electricity dispatch, electricity market, greenhouse gas emissions.
A comprehensive assessment was conducted for the electricity dispatch in the Mexican National Interconnected System for the 2017−2021 period, as well as the projected period of 2022−2030, with special attention on emissions and the transition to clean energy. The reported official generation data for the 2017−2021 period were compared to the results of both one- and multi-node dispatch modeling. The officially reported generation mix was found to be sub-optimal in terms of costs and emissions. A small part of the differences can be traced back to transmission constraints. Some of the remaining discrepancies can be explained by out-of-merit order dispatch favoring fossil fuel power plants. While transmission constraints were not critical for the 2017−2021 period, an increasing unbalance between regions with cost-effective generation (exporting regions) and importing regions was found, calling for inter-region transmission corridor reinforcements in the near future. The 2022−2030 emissio... [more]
Optical Properties of Coal after Ex-Situ Experimental Simulation of Underground Gasification at Pressures of 10 and 40 bar
Jacek Nowak, Magdalena Kokowska-Pawłowska, Joanna Komorek, Marian Wiatowski, Krzysztof Kapusta, Zdzisław Adamczyk.
February 24, 2023 (v1)
Keywords: bireflectance, bituminous coal, oxygen gasification, reflectance, underground coal gasification (UCG).
Coal gasification experiments were carried out in a reactor used to simulate underground coal gasification (UCG) processes under ex situ conditions at pressures of 10 and 40 bar. Changes in the optical properties of the organic matter were analyzed and the influence of temperature on coal during the UGC process was subsequently determined. The values of the true maximum reflectance determined for the gasification residue at pressures of 10 and 40 bar, and at distances of 0.75 and 1.75 m, reached a level corresponding to semi-graphite. Furthermore, it was found that the values of the true maximum reflectance and bireflectance decrease with increasing distance from the reactor chamber inlet. In addition, the results show that, regardless of the pressure used during the experiment, the temperature influence on the coal decreased with increasing distance from the reactor chamber inlet. The true temperatures operating during the experiment were higher than those recorded by the thermocouple... [more]
Effects of Water−Rock Interaction on the Permeability of the Near-Well Reservoir in an Enhanced Geothermal System
Bo Feng, Zhenpeng Cui, Xiyao Liu, Shuantong Shangguan, Xiaofei Qi, Shengtao Li.
February 24, 2023 (v1)
Keywords: enhanced geothermal system, reactive solute transport, secondary precipitation, TOUGHREACT, water–rock interaction.
During the operation of an enhanced geothermal system (EGS), the non-equilibrium temperature, pressure, and hydrochemistry caused by fluid injection intensify water−rock interactions, induce the mineral dissolution and precipitation in the reservoir near an injection well (also referred to as the near-well reservoir), and change reservoir permeability, thus affecting continuous and efficient geothermal exploitation. Based on the investigation of the M-1 injection well of the EGS in the Matouying uplift of Hebei Province, China, a THC reactive solute transport model using the TOUGHREACT program was established in this study to explore the mineral dissolution and precipitation laws of the near-well reservoir and their influencing mechanisms on the reservoir porosity and permeability in the long-term fluid injection of this well. As indicated by the results, the dissolution of primary feldspar and chlorite and the precipitation of secondary minerals (mainly dolomite and illite) occurred a... [more]
A Parameter Design Method for a Wireless Power Transmission System with a Uniform Magnetic Field
Li Ji, Chi Zhang, Fuchen Ge, Buren Qian, Hongjun Sun.
February 24, 2023 (v1)
Keywords: coupling mechanism, double-D coil, uniform magnetic field, wireless power transfer.
In a wireless power transfer (WPT) system, misalignment on the transceiver side has a major impact on the transmission efficiency. However, a uniform magnetic field can mitigate the detrimental impact of offsets on the system performance. In this paper, an optimized double-D (DD) coil is proposed by dividing the wires into two groups. The parametric design approach proceeds from the outside to the inside of the coil. The uniformity of the magnetic field of the improved design is increased by 20.7% compared to that of a regular DD coil. The average transmission efficiency of the final test prototype can reach 85%, and the offset rates in the X and Y directions are only 3.21% and 3.43%, respectively, when misalignment occurs. This design can effectively improve the anti-offset ability of the system and can be generalized to the design of other types of coils.
Wearable Bio-Inspired Pulsating-Flow Cooling for Live Garments Based on a Novel Design of Ferrofluid Micro-Valve
Jiawei Tang, Patrick Luk.
February 24, 2023 (v1)
Keywords: bio-inspired flow, empirical approach, individualized cooling, live garment, pulsation cooling, wearable temperature conditioning.
Temperature-related frustrations, such as heat exhaustion, heat stroke, hypothermia, and frost damage, are some of the most prevalent health risks encountered by humans. The aggravation may be lethal for individuals who reside or work in conditions of protracted and high temperature. Temperature-control technologies, such as underfloor heating and air conditioners, have been studied and applied to give individuals with a pleasant and, more crucially, an endurable temperature. However, it may be challenging to install these technologies in an exterior or enclosed space. In addition, they are inflexible for individual requirements, such as mobility and personal-temperature management. A wearable bio-inspired pulsing-flow (discontinuous) cooling system, which can significantly enhance cooling performance, is proposed in this work. The proposed system is implemented with valves to generate pulsating flows. Given that traditional mechanical-valve actuation systems continue to face limits in... [more]
Topology Optimization Design of Micro-Channel Heat Sink by Considering the Coupling of Fluid-Solid and Heat Transfer
Yue Wang, Jiahao Wang, Xiaomin Liu.
February 24, 2023 (v1)
Subject: Optimization
Keywords: flow energy consumption, fluid-solid interaction, heat transfer, micro-channel heat sink, topology optimization.
To investigate the effect of the target weight coefficient on the structure design of the micro-channel heat sink, an innovative method for the topology optimization design of micro-channel structures with different bifurcation angles is adopted. In this study, the improved interpolation function, density filtering, and hyperbolic tangent projection methods are adopted to obtain a clear topological structure of the micro-channel heat sink. The heat transfer of the micro-channel heat sink under different bifurcation angles is compared. At the same time, the influence of the two different objective functions, heat transfer, and flow energy consumption, is analyzed in the topology optimization of micro-channel heat sinks. The results show that when the bifurcation angle is 135°, both the heat transfer and the average outlet temperature of the micro-channel heat sink obtain the maximum value, and the heat transfer effect is the best. With the increase of the heat transfer weighting coeffic... [more]
Smart-City Citizen Engagement: The Answer to Energy Savings in an Economic Crisis?
Anna Jasińska-Biliczak.
February 24, 2023 (v1)
Subject: Environment
Keywords: citizen engagement, economic crisis, energy crisis, energy savings, smart city.
As the populations of cities grow, it is obvious that they need more and more resources. Energy is currently one of the most desirable resources due to the economic and energy crisis, but it needs to be used in a sustainable manner. There are cities that achieve smart city (SC) status that provide smart policies towards sustainable development. The aim of the present paper is to determine whether citizen engagement in SC can contribute to reduced energy consumption in the current economic crisis. The paper presents an original survey intended to collect primary data and a study conducted based exclusively on qualitative methods. The results concern a broad and multifaceted review of literature concerning SCs, as well as citizens’ engagement and their role in SC development. The study allows understanding of the economic phenomena taking place in SCs and filling the gaps regarding the behavior of SC citizens. It shows that SCs create smart citizens that feel responsible for the environm... [more]
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