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Showing records 14851 to 14875 of 36336. [First] Page: 591 592 593 594 595 596 597 598 599 Last
Energy Consumption on Dairy Farms: A Review of Monitoring, Prediction Modelling, and Analyses
Philip Shine, John Upton, Paria Sefeedpari, Michael D. Murphy.
March 23, 2023 (v1)
Keywords: dairy, efficiency, Energy, machine-learning, Modelling, review, sustainable agriculture
The global consumption of dairy produce is forecasted to increase by 19% per person by 2050. However, milk production is an intense energy consuming process. Coupled with concerns related to global greenhouse gas emissions from agriculture, increasing the production of milk must be met with the sustainable use of energy resources, to ensure the future monetary and environmental sustainability of the dairy industry. This body of work focused on summarizing and reviewing dairy energy research from the monitoring, prediction modelling and analyses point of view. Total primary energy consumption values in literature ranged from 2.7 MJ kg−1 Energy Corrected Milk on organic dairy farming systems to 4.2 MJ kg−1 Energy Corrected Milk on conventional dairy farming systems. Variances in total primary energy requirements were further assessed according to whether confinement or pasture-based systems were employed. Overall, a 35% energy reduction was seen across literature due to employing a pastu... [more]
A Fuzzy-SOM Method for Fraud Detection in Power Distribution Networks with High Penetration of Roof-Top Grid-Connected PV
Alireza Vahabzadeh, Alibakhsh Kasaeian, Hasan Monsef, Alireza Aslani.
March 23, 2023 (v1)
Keywords: data mining, fraud-detection, fuzzy-SOM, load profile modeling, non-technical loss, power distribution
This study proposes a fuzzy self-organized neural networks (SOM) model for detecting fraud by domestic customers, the major cause of non-technical losses in power distribution networks. Using a bottom-up approach, normal behavior patterns of household loads with and without photovoltaic (PV) sources are determined as normal behavior. Customers suspected of energy theft are distinguished by calculating the anomaly index of each subscriber. The bottom-up method used is validated using measurement data of a real network. The performance of the algorithm in detecting fraud in old electromagnetic meters is evaluated and verified. Types of energy theft methods are introduced in smart meters. The proposed algorithm is tested and evaluated to detect fraud in smart meters also.
Defects and Dopants in CaFeSi2O6: Classical and DFT Simulations
Navaratnarajah Kuganathan, Alexander Chroneos.
March 23, 2023 (v1)
Keywords: CaFeSi2O6, classical simulation, defects, DFT, diffusion, dopants
Calcium (Ca)-bearing minerals are of interest for the design of electrode materials required for rechargeable Ca-ion batteries. Here we use classical simulations to examine defect, dopant and transport properties of CaFeSi2O6. The formation of Ca-iron (Fe) anti-site defects is found to be the lowest energy process (0.42 eV/defect). The Oxygen and Calcium Frenkel energies are 2.87 eV/defect and 4.96 eV/defect respectively suggesting that these defects are not significant especially the Ca Frenkel. Reaction energy for the loss of CaO via CaO Schottky is 2.97 eV/defect suggesting that this process requires moderate temperature. Calculated activation energy of Ca-ion migration in this material is high (>4 eV), inferring very slow ionic conductivity. However, we suggest a strategy to introduce additional Ca2+ ions in the lattice by doping trivalent dopants on the Si site in order to enhance the capacity and ion diffusion and it is calculated that Al3+ is the favourable dopant for this proce... [more]
Qualitative and Quantitative Transient Stability Assessment of Stand-Alone Hybrid Microgrids in a Cluster Environment
Kishan Veerashekar, Halil Askan, Matthias Luther.
March 23, 2023 (v1)
Subject: Environment
Keywords: critical clearing times, diesel generators, grid-feeding photovoltaics, grid-forming battery storage systems, stand-alone hybrid microgrids, system stability degree, the micro-hybrid method, transient stability assessment
Neighboring stand-alone hybrid microgrids with diesel generators (DGs) as well as grid-feeding photovoltaics (PV) and grid-forming battery storage systems (BSS) can be coupled to reduce fuel costs and emissions as well as to enhance the security of supply. In contrast to the research in control and small-signal rotor angle stability of microgrids, there is a significant lack of knowledge regarding the transient stability of off-grid hybrid microgrids in a cluster environment. Therefore, the large-signal rotor angle stability of pooled microgrids was assessed qualitatively and also quantitatively in this research work. Quantitative transient stability assessment (TSA) was carried out with the help of the—recently developed and validated—micro-hybrid method by combining time-domain simulations and transient energy function analyses. For this purpose, three realistic dynamic microgrids were modelled regarding three operating modes (island, interconnection, and cluster) as well as the conv... [more]
High Temperature Pyrolysis of Municipal Plastic Waste Using Me/Ni/ZSM-5 Catalysts: The Effect of Metal/Nickel Ratio
Mohammed Al-asadi, Norbert Miskolczi.
March 23, 2023 (v1)
Subject: Materials
Keywords: gas-chromatography, metal loaded catalysts, pyrolysis, Syngas, waste plastic
This work is dedicated to the high temperature pyrolysis of municipal plastic waste using Me/Ni/ZSM-5 catalysts. Catalysts were synthetized by wet impregnation. In addition to nickel, synthetic zeolite catalysts contain calcium, ceria, lanthanum, magnesia or manganese. Catalysts were prepared and tested using 0.1, 0.5 and 2.0 Me/Ni ratios. Catalyst morphology was investigated by SEM and surface analysis. Higher concentrations of second metals can block catalyst pore channels due to the more coke formation, which leads to smaller surface area. Furthermore, the chemicals used for the impregnation were among the catalyst grains, especially in case of 2.0 Me/Ni ratios. For pyrolysis, a horizontal tubular furnace reactor was used at 700 °C. The highest hydrogen and syngas yields were observed using ceria- and lanthanum-covered catalysts. The maximum production of syngas and hydrogen (69.8 and 49.2 mmol/g raw material) was found in the presence of Ce/Ni/ZSM-5 catalyst with a 0.5 Me/Ni ratio.
Bi-Level Planning of Multi-Functional Vehicle Charging Stations Considering Land Use Types
Zhi Wu, Yuxuan Zhuang, Suyang Zhou, Shuning Xu, Peng Yu, Jinqiao Du, Xiner Luo, Ghulam Abbas.
March 23, 2023 (v1)
Keywords: Bi-level programming, charging station planning, multi-functional charging station
Locating and planning charging stations for Low-Emission Vehicles (LEVs) such as Battery Electric Vehicle (BEV), Hydrogen Fuel-Cell Vehicle (HFCV), and Natural Gas Vehicle (NGV) are becoming increasingly important for LEV users, government, and the automobile industry. Conventional planning approach of charging station usually plans single functional charging station that can only serve one kind of LEVs, and other factors such as fuel type, driving range, initial fuel tank level, and refueling time of the LEV are less considered in the planning stage. In this article, we propose a bi-level planning model to locate and size Multi-Functional Charging Station (MFCS) which can recharge BEV, HFCV, and NGV at the same time in a medium-sized city with different functional areas (e.g., residential area, industrial area, CBD area). We also established a method for generating a daily route considering vehicle attributes and user habits, and we loaded these traveling data into the upper model to... [more]
Experimental Investigation of a Novel Absorptive/Reflective Solar Concentrator: A Thermal Analysis
Alok Dayanand, Muhsin Aykapadathu, Nazmi Sellami, Mehdi Nazarinia.
March 23, 2023 (v1)
Keywords: active cooling, AR-CCPC, solar concentrator, thermal analysis
This paper presents the experimental investigation of a novel cross-compound parabolic concentrator (CCPC). For the first time, a CCPC module was designed to simultaneously work as an electricity generator and collect the thermal energy present in the module which is generated due to the incident irradiation. This CCPC module consists of two regions: an absorber surface atop the rig and a reflective region below that to reflect the irradiation onto the photovoltaic (PV) cell, coupled together to form an absorptive/reflective CCPC (AR-CCPC) module. A major issue in the use of PV cells is the decrease in electrical conversion efficiency with the increase in cell temperature. This module employs an active cooling system to decrease the PV cell temperature, optimizing the electrical performance and absorbing the heat generated within the module. This system was found to have an overall efficiency of 63%, which comprises the summation of the electrical and thermal efficiency posed by the AR... [more]
Enhancement of Turbulent Convective Heat Transfer using a Microparticle Multiphase Flow
Tao Wang, Zengliang Gao, Weiya Jin.
March 23, 2023 (v1)
Keywords: Eulerian–Eulerian model, heat transfer enhancement, microfluid, multiphase flow
The turbulent heat transfer enhancement of microfluid as a heat transfer medium in a tube was investigated. Within the Reynolds number ranging from 7000 to 23,000, heat transfer, friction loss and thermal performance characteristics of graphite, Al2O3 and CuO microfluid with the particle volume fraction of 0.25%−1.0% and particle size of 5 μm have been respectively tested. The results showed that the thermal performance of microfluids was better than water. In addition, the graphite microfluid had the best turbulent convective heat transfer effect among several microfluids. To further investigate the effect of graphite particle size on thermal performance, the heat transfer characteristics of the graphite microfluid with the size of 1 μm was also tested. The results showed that the thermal performance of the particle size of 1 μm was better than that of 5 μm. Within the investigated range, the maximum value of the thermal performance of graphite microfluid was found at a 1.0% volume fr... [more]
Comparison of Variable and Constant Loading for Mesophilic Food Waste Digestion in a Long-Term Experiment
He Song, Yue Zhang, Sigrid Kusch-Brandt, Charles J. Banks.
March 23, 2023 (v1)
Keywords: anaerobic digestion, cobalt, food waste, process stability, selenium, trace elements, variable loading
Operators of commercial anaerobic digestion (AD) plants frequently note the challenge of transferring research results to an industrial setting, especially in matching well-controlled laboratory studies at a constant organic loading rate (OLR) with full-scale digesters subject to day-to-day variation in loadings. This study compared the performance of food waste digesters at fluctuating and constant OLR. In a long-term experiment over nearly three years, variable daily OLR with a range as wide as 0 to 10.0 g VS L−1 day−1 (weekly average 5.0 g VS L−1 day−1) were applied to one laboratory-scale digester, while a pair of control digesters was operated at a constant daily loading of 5.0 g VS L−1 day−1. Different schemes of trace elements (TE) supplementation were also tested to examine how they contributed to process stability. Variable loading had no adverse impact on biogas production or operational stability when 11 TE species were dosed. When TE addition was limited to cobalt and selen... [more]
The Efficiency of Industrial and Laboratory Anaerobic Digesters of Organic Substrates: The Use of the Biochemical Methane Potential Correction Coefficient
Krzysztof Pilarski, Agnieszka A. Pilarska, Piotr Boniecki, Gniewko Niedbała, Karol Durczak, Kamil Witaszek, Natalia Mioduszewska, Ireneusz Kowalik.
March 23, 2023 (v1)
Keywords: Biochemical Methane Potential Correction Coefficient, biomass conversion, industrial-scale efficiency, laboratory-scale efficiency, loss prevention
This study is an elaboration on the conference article written by the same authors, which presented the results of laboratory tests on the biogas efficiency of the following substrates: maize silage (MS), pig manure (PM), potato waste (PW), and sugar beet pulp (SB). This article presents methane yields from the same substrates, but also on a technical scale. Apart from that, it presents an original methodology of defining the Biochemical Methane Potential Correction Coefficient (BMPCC) based on the calculation of biomass conversion on an industrial scale and on a laboratory scale. The BMPCC was introduced as a tool to enable uncomplicated verification of the operation of a biogas plant to increase its efficiency and prevent undesirable losses. The estimated BMPCC values showed that the volume of methane produced in the laboratory was overestimated in comparison to the amount of methane obtained under technical conditions. There were differences observed for each substrate. They ranged... [more]
Power Smoothing and Energy Storage Sizing of Vented Oscillating Water Column Wave Energy Converter Arrays
Gimara Rajapakse, Shantha Jayasinghe, Alan Fleming.
March 23, 2023 (v1)
Keywords: detached breakwater, Hybrid energy storage system, Li-ion battery energy storage, power quality, supercapacitor energy storage, vented oscillating water column, wave energy converter arrays
Oscillating water column wave energy converter arrays can be arranged to enhance the energy production and quality of power delivered to the grid. This study investigates four different array configurations of vented oscillating water columns and their effect on power quality and capacity of the energy storage systems required to absorb power fluctuation. Configuring the array of vented oscillating water columns as a nearshore detached breakwater allows combining the benefits of their complementary features. This increases the economic optimization of wave energy converters, paving the path to the energy market. The operations of the integration schemes are evaluated using the results obtained from simulations carried out using MATLAB/Simulink software. Simulation results show that the array of vented oscillating water columns and array of vented oscillating water columns as nearshore detached breakwater configurations increase the quality of power delivered to the grid and reduce the... [more]
Combustion and Emissions Characteristics of the Turbine Engine Fueled with HEFA Blends from Different Feedstocks
Bartosz Gawron, Tomasz Białecki, Anna Janicka, Tomasz Suchocki.
March 23, 2023 (v1)
Keywords: Alternative Fuels, emissions, HEFA process, synthetic blending component, turbine engine
In the next decade, due to the desire for significant reduction in the carbon footprint left by the aviation sector and the development of a sustainable alternatives to petroleum, fuel from renewable sources will play an increasing role as a propellant for turbine aircraft engines. Currently, apart from five types of jet fuel containing synthesized hydrocarbons that are certified by the ASTM D7566 standard, there is yet another synthetic blending component that is at the stage of testing and certification. Hydroprocessed esters and fatty acids enable the production of a synthetic component for jet fuel from any form of native fat or oil. Used feedstock affects the final synthetic blending component composition and consequently the properties of the blend for jet fuel and, as a result, the operation of turbine engines. A specialized laboratory test rig with a miniature turbojet engine was used for research, which is an interesting alternative to complex and expensive tests with full sca... [more]
New Adaptive High Starting Torque Scalar Control Scheme for Induction Motors Based on Passivity
Juan Carlos Travieso-Torres, Miriam Vilaragut-Llanes, Ángel Costa-Montiel, Manuel A. Duarte-Mermoud, Norelys Aguila-Camacho, Camilo Contreras-Jara, Alejandro Álvarez-Gracia.
March 23, 2023 (v1)
Keywords: adaptive-passivity-based controller (APBC), induction motor (IM), nonlinear dynamical systems, proportional (P) controller, scalar control scheme (SCS)
A novel adaptive high starting torque (HST) scalar control scheme (SCS) for induction motors (IM) is proposed in this paper. It uses a new adaptive-passivity-based controller (APBC) proposed herein for a class of nonlinear systems, with linear explicit parametric dependence and linear stable internal dynamics, which encompasses the IM dynamical model. The main advantage of the HST-SCS includes the ability to move loads with starting-torque over the nominal torque with a simple and cost-effective implementation without needing a rotor speed sensor, variable observers, or parameter estimators. The proposed APBC is based on a direct control scheme using a normalized fixed gain (FG) to fine-tune the adaptive controller parameters. The basic SCS for induction motors (IM) and the HST-SCS were applied to an IM of 200 HP and tested using a real-time simulator controller OPAL-RT showing the achievement of the proposal goal.
Optimized Scheduling of EV Charging in Solar Parking Lots for Local Peak Reduction under EV Demand Uncertainty
Rishabh Ghotge, Yitzhak Snow, Samira Farahani, Zofia Lukszo, Ad van Wijk.
March 23, 2023 (v1)
Keywords: demand forecasting, electric vehicle, peak shaving, robust optimization, smart charging
Scheduled charging offers the potential for electric vehicles (EVs) to use renewable energy more efficiently, lowering costs and improving the stability of the electricity grid. Many studies related to EV charge scheduling found in the literature assume perfect or highly accurate knowledge of energy demand for EVs expected to arrive after the scheduling is performed. However, in practice, there is always a degree of uncertainty related to future EV charging demands. In this work, a Model Predictive Control (MPC) based smart charging strategy is developed, which takes this uncertainty into account, both in terms of the timing of the EV arrival as well as the magnitude of energy demand. The objective of the strategy is to reduce the peak electricity demand at an EV parking lot with PVarrays. The developed strategy is compared with both conventional EV charging as well as smart charging with an assumption of perfect knowledge of uncertain future events. The comparison reveals that the inc... [more]
Dynamic Tensile Strength of Dry and Saturated Hard Coal under Impact Loading
Xianlei Zhu, Qing Li, Guihua Wei, Shizheng Fang.
March 23, 2023 (v1)
Keywords: dynamic tensile strength, failure process, hard coal, saturated
To evaluate the influence of water content on the hard coal dynamic behavior, the dynamic tensile properties of saturated coal Brazilian disk (BD) samples were studied using a split Hopkinson pressure bar system, and dry samples were also tested as a control group. In the range of impact speeds studied, the tensile strength of the saturated coal is lower than that of the dry specimen. A synchronized triggering high-speed camera was used to monitor the deformation and failure process of dry and saturated coal samples, allowing analysis of the failure stages and mechanism of dynamic BD test, the broken mode was classified into three types, which can be classified into unilateral tensile failure, bilateral or multilateral tensile failure, and shear failure. Finally, fragments smaller than 5 mm in diameter were statistically analyzed. There is less debris in range of 0−5.0 mm for the saturated coal sample than for the dry coal. This study provides some information about the dynamic respons... [more]
Economy Mode Setting Device for Wind-Diesel Power Plants
Andrey Dar’enkov, Elena Sosnina, Andrey Shalukho, Ivan Lipuzhin.
March 23, 2023 (v1)
Keywords: artificial neural network, diesel-generator set, fuel economy, intelligent control system, internal combustion engine, wind-diesel power plant
The article is devoted to the problem of reducing fuel consumption in a diesel generator set (DGS) as a part of a wind-diesel power plant (WDPP). The object of the research is a variable speed DGS. The goal is to develop the WDPP intelligent control system, providing an optimal shaft speed of an internal combustion engine (ICE). The basis of the intelligent control system is an economy mode setting device (EMSD), which controls the fuel supply to the ICE. The functional chart of EMSD has been presented. The main EMSD blocks contain a controller and an associative memory block. The associative memory block is a software model of an artificial neural network that determines the optimal shaft speed of the ICE. An algorithm for the WDPP intelligent control system has been developed and tested using the WDPP Simulink model. The EMSD prototype has been created, and its research has been conducted. Dependences of the change in specific and absolute fuel consumption on the load power have been... [more]
Modeling Artificial Ground Freezing for Construction of Two Tunnels of a Metro Station in Napoli (Italy)
Alessandro Mauro, Gennaro Normino, Filippo Cavuoto, Pasquale Marotta, Nicola Massarotti.
March 23, 2023 (v1)
Keywords: artificial ground freezing, GEO heating, heat transfer, metro in Napoli, numerical modeling, underground station
An artificial ground freezing (AGF) technique in the horizontal direction has been employed in Naples (Italy), in order to ensure the stability and waterproofing of soil during the excavation of two tunnels in a real underground station. The artificial freezing technique consists of letting a coolant fluid, with a temperature lower than the surrounding ground, circulate inside probes positioned along the perimeter of the gallery. In this paper, the authors propose an efficient numerical model to analyze heat transfer during the whole excavation process for which this AGF technique was used. The model takes into account the water phase change process, and has been employed to analyze phenomena occurring in three cross sections of the galleries. The aim of the work is to analyze the thermal behavior of the ground during the freezing phases, to optimize the freezing process, and to evaluate the thickness of frozen wall obtained. The steps to realize the entire excavation of the tunnels, a... [more]
Improvements in CO2 Booster Architectures with Different Economizer Arrangements
J. Catalán-Gil, L. Nebot-Andrés, D. Sánchez, R. Llopis, R. Cabello, D. Calleja-Anta.
March 23, 2023 (v1)
Keywords: CO2 transcritical booster, commercial refrigeration, economizer, integrated mechanical subcooling, subcooling, variable frequency drive
CO2 transcritical booster architectures are widely analyzed to be applied in centralized commercial refrigeration plants in consonance with the irrevocable phase-out of HFCs. Most of these analyses show the limitations of CO2 cycles in terms of energy efficiency, especially in warm countries. From the literature, several improvements have been proposed to raise the booster efficiency in high ambient temperatures. The use of economizers is an interesting technique to reduce the temperature after the gas cooler and to improve the energy efficiency of transcritical CO2 cycles. The economizer cools down the high pressure’s line of CO2 by evaporating the same refrigerant extracted from another point of the facility. Depending on the extraction point, some configurations are possible. In this work, different booster architectures with economizers have been analyzed and compared. From the results, the combination of the economizer with the additional compressor allows obtaining energy savings... [more]
Matching Characteristic Research of Building Renewable Energy System Based on Virtual Energy Storage of Air Conditioning Load
Yongzhen Wang, Congchuan Hu, Boyuan Wu, Jing Zhang, Zhenning Zi, Ligai Kang.
March 23, 2023 (v1)
Keywords: air conditioning system, renewable energy system, TRNSYS, virtual energy storage
Considering the huge power consumption, rapid response and the short-term heat reserving capacity of the air conditioning load in the building’s energy system, the air conditioning load and its system can be equivalent to the virtual energy storage device for the power grid. Therefore, to obtain a high matching building renewable energy system, a virtual energy storage system of the air conditioning load, accompanied by a storage battery, was built in the paper. Then, operating strategies for the virtual energy storage of the air conditioning load and storage battery were designed. Further, to quantize the contribution of the virtual energy storage to the improvement of matching characteristics, two indicators of the demand side and supply side in the energy system were adopted, including on-site energy fraction (OEFr) and on-site energy matching (OEMr). Lastly, matching characteristic research of the building’s renewable energy system based on virtual energy storage of the air conditi... [more]
Novel Experimental Device to Monitor the Ground Thermal Exchange in a Borehole Heat Exchanger
Cristina Sáez Blázquez, Laura Piedelobo, Jesús Fernández-Hernández, Ignacio Martín Nieto, Arturo Farfán Martín, Susana Lagüela, Diego González-Aguilera.
March 23, 2023 (v1)
Keywords: experimental geothermal device, ground source heat pump systems, KD2 Pro device, single-U heat exchanger, thermal conductivity
Ground source heat pump (GSHP) systems are becoming popular in space heating and cooling applications. Despite this fact, in most countries, the role of this energy is not as important as it should be nowadays according to its capabilities for energy generation without CO2 emissions, mainly due to the lack of technical knowledge about GSHP performance. The analysis of the physical processes that take part in the geothermal exchanges is necessary to allow the optimal exploitation of the geothermal resources. For all the above, an experimental geothermal device was built in the laboratory to control the phenomena that take place in a borehole heat exchanger (BHE). A 1-m high single-U heat exchanger was inserted in the center of a polyethylene container which also included granular material (surrounding ground) and the grouting material. Temperature sensors were situated in different positions of the experimental setup. Physical processes are evaluated to finally validate the model. Numer... [more]
Techno-Economic and Environmental Evaluations of Decarbonized Fossil-Intensive Industrial Processes by Reactive Absorption & Adsorption CO2 Capture Systems
Ana-Maria Cormos, Simion Dragan, Letitia Petrescu, Vlad Sandu, Calin-Cristian Cormos.
March 23, 2023 (v1)
Subject: Environment
Keywords: and process integration, decarbonization technologies, fossil-intensive industrial processes, Modelling, reactive absorption/adsorption CO2 capture systems, Simulation, techno-economic and environmental assessments
Decarbonization of energy-intensive systems (e.g., heat and power generation, iron, and steel production, petrochemical processes, cement production, etc.) is an important task for the development of a low carbon economy. In this respect, carbon capture technologies will play an important role in the decarbonization of fossil-based industrial processes. The most significant techno-economic and environmental performance indicators of various fossil-based industrial applications decarbonized by two reactive gas-liquid (chemical scrubbing) and gas-solid CO2 capture systems are calculated, compared, and discussed in the present work. As decarbonization technologies, the gas-liquid chemical absorption and more innovative calcium looping systems were employed. The integrated assessment uses various elements, e.g., conceptual design of decarbonized plants, computer-aided tools for process design and integration, evaluation of main plant performance indexes based on industrial and simulation r... [more]
Fleet Transition from Combustion to Electric Vehicles: A Case Study in a Portuguese Business Campus
Bruno Pinto, Filipe Barata, Constantino Soares, Carla Viveiros.
March 23, 2023 (v1)
Keywords: business fleet, charging stations, electric mobility, electric vehicles, Energy Efficiency
This paper aims to contribute to the urgent reflection as a society about environmental protection, in the ultimate challenge that is the sustainable use of energy resources. Since Portugal is at an early stage of market development internally, governmental and local stimulation policies play a central role and are a key element in the successful diffusion of Electric Mobility. The study will focus on the transition of a company car fleet, which currently consists of combustion vehicles, to electric vehicles. With this change it becomes necessary to understand how the electrical installation will be affected due to the installation of charging stations, allowing the company to have some autonomy from the public grid. The various changes resulting from the installation consumption profile will be studied and compared. The state of the art, the level of maturity and where the development of electric mobility in Portugal is heading will also be appreciated.
Study on Rheological and Mechanical Properties of Aeolian Sand-Fly Ash-Based Filling Slurry
Xiaoping Shao, Long Wang, Xin Li, Zhiyu Fang, Bingchao Zhao, Yeqing Tao, Lang Liu, Wuliang Sun, Jianpeng Sun.
March 23, 2023 (v1)
Subject: Materials
Keywords: aeolian sand, coal mining backfill, fly ash content, uniaxial compression
Backfill mining is the most environmentally friendly mining method at present, which can effectively control the surface subsidence, improve the recovery rate, and has good social and economic benefits. The purpose of this study is to solve the environmental problems caused by solid waste, combined with the rich geographical advantages of aeolian sand in the Yushenfu mining area of China. The rheological properties of the aeolian sand-fly ash-based filling slurry with different fly ash content are studied by experiments, and the strength development law of the filling body under different age and fly ash content are studied from the macroscopic and microscopic points of view. The rheological experiments showed that the increase of the amount of fly ash has a significant effect on the thixotropy, plastic viscosity, and yield stress of the filling slurry. Additionally, rheological properties of aeolian sand-fly ash-based filling slurry conform to the Bingham model. With the increase of t... [more]
Ensemble Gradient Boosted Tree for SoH Estimation Based on Diagnostic Features
Sahar Khaleghi, Yousef Firouz, Maitane Berecibar, Joeri Van Mierlo, Peter Van Den Bossche.
March 23, 2023 (v1)
Keywords: diagnostic features, ensemble learning, lithium-ion battery, real-life driving condition, real-time SoH estimation
The success of electric vehicles (EVs) depends principally on their energy storage system. Lithium-ion batteries currently feature the ideal properties to fulfil the wide range of prerequisites specific to electric vehicles. Meanwhile, the precise estimation of batteries’ state of health (SoH) should be available to provide the optimal performance of EVs. This study attempts to propose a precise, real-time method to estimate lithium-ion state of health when it operates in a realistic driving condition in the presence of dynamic stress factors. To this end, a real-life driving profile was simulated based on highly dynamic worldwide harmonized light vehicle test cycle load profiles. Afterward, various features will be extracted from voltage data and they will be scored based on prognostic metrics to select diagnostic features which can conveniently identify battery degradation. Lastly, an ensemble learning model was developed to capture the correlation of diagnostic features and battery’... [more]
Energy Potential Mapping: Open Data in Support of Urban Transition Planning
Michiel Fremouw, Annamaria Bagaini, Paolo De Pascali.
March 23, 2023 (v1)
Keywords: data-aware planning, energy data, energy planning, energy potential mapping, spatial planning, urban energy atlas, urban energy transition
Cities play a key role in driving the transition to sustainable energy. Urban areas represent between 60% and 80% of global energy consumption and are a significant source of CO2 emissions, making energy management at the urban scale an important area of research. Urban energy systems have a strong influence on the environment, economy, social dimensions and urban spatial planning. Energy consumption affects the urban microclimate, urban comfort, human health, and conversely, urban physical, economic and social characteristics affect the energy urban profile. In order to improve the quality of energy strategies, policies, and plans, local authorities need decision support tools, like energy potential mapping, which have risen significance in the last decades. Energy data are crucial for those tools. They can increase the quality and effectiveness of energy planning but also support the integration between energy and spatial planning. Energy data can also stimulate citizen engagement as... [more]
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