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Records added in March 2023
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Showing records 5451 to 5475 of 12968. [First] Page: 215 216 217 218 219 220 221 222 223 Last
Multi-Criteria Decision Analysis for Energy Retrofit of Residential Buildings: Methodology and Feedback from Real Application
Souleymane Daniel, Christian Ghiaus
March 20, 2023 (v1)
Keywords: building, decision support, energy retrofit, multi-criteria analysis
Decision-making in energy retrofit of existing buildings needs to consider the economic and technical criteria, as well as social and environmental ones. The main problems are to define and to aggregate these contradicting issues to support a measurable and verifiable decision process. The working hypothesis of this paper is that the ELECTRE Tri method would respond to the problem. The paper proposes and tests in a real professional environment the ELECTRE Tri method to help choose a retrofit program for collective residential buildings. The evaluation criteria used as performance indicators are defined in consultation with the decision maker and weighted by using the revised Simos’ cards method. The paper proposes to construct the renovation scenarios by combining individual actions that are mutually compatible. The methodology, the proposed criteria and the scenarios were successfully applied on a renovation project of a residential assembly composed of three buildings (67 apartments... [more]
Numerical Investigation of the Effect of Surface Wettability and Rotation on Condensation Heat Transfer in a Sludge Dryer Vertical Paddle
Wei Liu, Miao Gui, Yudong Zha, Zengyao Li
March 20, 2023 (v1)
Keywords: Computational Fluid Dynamics, dropwise condensation, rotation, sludge paddle dryer
In this paper, the applicability of advanced heat transfer enhancement technology to a paddle dryer was discussed. A computational fluid dynamics (CFD) method was used to simulate condensation heat transfer on the inner surface of a dryer paddle. The effect of surface wettability and rotation on condensation heat transfer and droplet behavior was studied. The results showed that the present CFD model could properly simulate the condensation process on a vertical surface. With a decrease in the contact angle, the filmwise condensation turned into a dropwise condensation, which resulted in a significant increase in heat transfer coefficient and provided an approximately 5% increase in evaporation rate for the paddle dryer by changing the wettability of the inner surface of the paddle. Additionally, with a change in rotational angular velocity, heat transfer performance was almost unchanged under the filmwise condensation condition. However, rotational motion might cause a decrease in wal... [more]
Preparation and Numerical Optimization of TiO2:CdS Thin Films in Double Perovskite Solar Cell
Ghazi Aman Nowsherwan, Aurang Zaib, Aqeel Ahmed Shah, Mohsin Khan, Abdul Shakoor, Syed Nizamuddin Shah Bukhari, Muhammad Riaz, Syed Sajjad Hussain, Muhammad Ali Shar, Abdulaziz Alhazaa
March 20, 2023 (v1)
Subject: Materials
Keywords: cadmium sulphide, electron transport material, thin films perovskite solar cell, titania
This work focuses on preparing TiO2, CdS, and composite TiO2:CdS thin films for photovoltaic applications by thermal evaporation. The suggested materials exhibit very good optical and electrical properties and can play a significant role in enhancing the efficiency of the device. Various microscopy and spectroscopy techniques were considered to investigate the optical, morphological, photoluminescence, and electrical properties. FTIR confirms the material identification by displaying some peaks in the fingerprint region. UV Vis spectroscopy yields high transmission (80−90%) and low absorbance (5−10%) within the spectral region from 500 nm to 800 nm for the composite thin films. The optical band gap values for CdS, TiO2, and TiO2:CdS thin films are 2.42 eV, 3.72 eV, and 3.6 eV. XRD was utilized to analyze the amorphous nature of the thin films, while optical and SEM microscopy were employed to examine the morphological changes caused by the addition of CdS to TiO2. The decrease in the b... [more]
Improved Speed Extension for Permanent Magnet Synchronous Generators by Means of Winding Reconfiguration
Xuanyi Zhou, Jiajun Yang, Giovanni Migliazza, Sandro Guenter, Shuo Wang, Chris Gerada, Giampaolo Buticchi
March 20, 2023 (v1)
Keywords: more electric aircrafts, power electronics, starter/generator, winding reconfiguration
With the increased development of electrical subsystems onboard modern transportation platforms, e.g., more electric aircrafts or more electric ships, the need for electric generation systems has increased. Since many motors require electric starting capability, the application of the starter/generator has been the focus of several studies. The peculiarity of such a system is its requirement for high torque at low speed (for the starting) as well as an extended operation range during the normal generation operations. This mismatch between maximum torque and speed comes at the expense of the power density of the electronic converter, which needs to be designed for the worst case situation and, due to the electric machine optimization, often requires field weakening operations. A new winding reconfiguration is proposed to achieve speed extension and provide more potentiality for high-speed applications. This work compares different power trains in terms of efficiency current stress for e... [more]
Definition of the Thermodynamic Cycle of a Biomass-Fueled Internal Combustion Engine
Gonzalo Suanes, David Bolonio, Antonio Cantero
March 20, 2023 (v1)
Keywords: Alternative Fuels, Biomass, combustion engine, thermodynamic cycle
Climate change and the depletion of fossil fuels make it urgent to find an alternative to oil-based fuels, especially in machines powered by internal combustion engines. Biomass is currently a poorly used source of energy and meets the necessary conditions to replace a large part of oil-based fuels. However, current engines cannot burn solid biomass and a specific engine needs to be developed. This work proposes the thermodynamic cycle of a biomass-fueled internal combustion engine. The cycle is significantly different from the Otto cycle, since compression and heat absorption occur simultaneously, in a single stage. Since it is not possible to find a function that relates pressure to volume at this stage, an approximate method is proposed to solve the cycle without resorting to numerical methods. The results show that the maximum pressure and temperature of a biomass-fueled engine cycle are somewhat higher than those of the equivalent Otto cycle. However, more significantly, the cycle... [more]
Electric Vehicle Charging Infrastructure along Highways in the EU
Emilia M. Szumska
March 20, 2023 (v1)
Keywords: electric vehicle, electric vehicle charging infrastructure, fast charging, plug-in hybrid
One aspect of the competitiveness of electric and plug-in hybrid vehicles is the ability to recharge batteries quickly. Ideally, this process would take no longer than it takes to refuel vehicles powered by conventional fuels. The term fast charging is generally used to refer to alternating current (AC) charging of more than 22 kW and direct current (DC) charging often referred to as fast or ultra-fast charging at high power. Currently, fast charging points are located within the public charging infrastructure, mainly along highways. The purpose of this paper was to analyze the availability of existing charging infrastructure equipped with fast charging points for electric vehicles in European Union countries. In addition, the paper discusses EU policy in terms of zero-emission vehicles and technical issues related to charging infrastructure. Based on a review of the current state of charging infrastructure and plans for its development in light of the EU Green Deal for Europe regulati... [more]
Single-Phase Grid-Forming Strategy with Power Decoupling Implementation for Electrolytic-Capacitor-Free EV Smart Battery Charger
Damián Sal y Rosas, Alvaro Zarate
March 20, 2023 (v1)
Keywords: active power decoupling (APD), DC-link ripple, electric vehicles (EV), grid-forming (GFM), Smart Battery Charger (SBC), vehicle-to-grid (V2G), vehicle-to-home (V2H)
Smart Battery Chargers (SBCs) implementing grid-forming (GFM) control strategies are a promising solution to provide voltage and frequency support, increasing the grid reliability. Typically, GFM studies consider inverters with high DC-link capacitance. Therefore, there is a research gap in two-stage DC-AC converters with small DC-link capacitance implementing GFM strategies. This article proposes a novel approach to implement a GFM control strategy along with active power decoupling (APD) in an isolated, single-phase, electrolytic-capacitor-free two-stage DC-AC structure. The structure is composed of a voltage source inverter (VSI), DC-linked by film capacitors, with a dual-active-bridge series-resonant (DABSR) DC-DC converter. High DC-link ripple is allowed and managed by the APD. Hence, electrolytic capacitors are avoided, increasing the converter lifetime. In the proposed approach, the VSI implements the GFM strategy, operating in the four quadrants of the active and reactive power... [more]
Utilisation of Spatial Data in Energy Biomass Supply Chain Research—A Review
Olli-Jussi Korpinen, Mika Aalto, Raghu KC, Timo Tokola, Tapio Ranta
March 20, 2023 (v1)
Keywords: bioenergy, Biofuels, biomass procurement, geographical information systems (GISs), logistics
The supply logistics of energy biomasses generally involves a complex system of supply chains, which aim to achieve timely and cost-efficient feedstock deliveries to biomass demand points. The performance of supply chains is often examined in case studies where spatial data about biomass sources and transportation networks are deployed in varying resolutions and to different geographical extents. In this paper, we have reviewed 94 publications, in which spatial data were used in case studies that focused on analysing and optimising energy biomass supply chains. The reviewed publications were classified into 16 categories, according to the publication year, study methods and objectives, biomass types, supply system complexity and the spatial features of each study area. This review found that the use of geographical information systems in this context has increased in popularity in recent years, and that and the multiformity of the applied methods, study objectives and data sources have... [more]
Application of the Gradient-Based Metaheuristic Optimizerto Solve the Optimal Conductor Selection Problemin Three-Phase Asymmetric Distribution Networks
Julián David Pradilla-Rozo, Julián Alejandro Vega-Forero, Oscar Danilo Montoya
March 20, 2023 (v1)
Keywords: combinatorial optimization methods, investment and operating costs, optimal conductor selection, three-phase power flow, unbalanced distribution networks
This study addresses the problem of selecting the conductor sizes for medium-voltage distribution networks with radial configurations. The optimization model that represents this problem is part of the mixed-integer non-linear programming (MINLP) models, in which a power flow must be solved for each possible combination of conductor sizes. The main objective of this optimization problem is to find the best set of conductor sizes that minimize an economic objective function composed of the total costs of conducting materials added with the expected annual costs of the energy losses by proposing a new hybrid optimization methodology from the family of combinatorial optimization methods. To solve the MINLP model, a master−slave optimization method based on the modified version of the gradient-based metaheuristic optimizer (MGbMO) combined with the successive approximation power flow method for unbalanced distribution networks is presented. The MGbMO defines the set of conductor sizes assi... [more]
Evaluation of Economic Possibilities of Production of Second-Generation Spirit Fuels for Internal Combustion Engines in Poland
Waldemar Izdebski, Michał Izdebski, Katarzyna Kosiorek
March 20, 2023 (v1)
Keywords: bioethanol, cost effectiveness, lignocellulosic biomass, spirit fuels
With the rapid growth in industrial development, there is a particular need for new environmentally balanced energy source utilization. Ethanol produced from biomass, especially lignocellulosic waste products, represents an attractive, sustainable energy source for fuel production. Until now, in Poland, bioethanol has been produced from edible plants containing sugars susceptible to fermentation. Due to the growing technical and economical needs for alternative biomass source utilization, in the present work, an attempt has been made to identify the most cost-effective strategy to analyze ethyl alcohol production from different lignocellulose sources. The concept of an installation for the first and second stages of bioethanol production was proposed. All of the most relevant elements of the bioethanol production cost analysis were identified and characterized. Cost analyses of all important production process elements showed their relative effects on the production cost and potential... [more]
Multi-Parameter Optimization Analysis of Hydrodynamic Performance for Rim-Driven Thruster
Yuanzhe Nie, Wu Ouyang, Zhuo Zhang, Gaoqiang Li, Ruicong Zheng
March 20, 2023 (v1)
Keywords: computational fluid dynamics (CFD), hydrodynamic performance, multi-parameter optimization, response surface method (RSM), rim-driven thrusters (RDT)
The efficiency of rim-driven thrusters (RDT) has always been the focus of attention in the context of energy conservation and environmental protection. A multi-parameter collaborative optimization framework is proposed to improve the efficiency of RDT based on the response surface method (RSM). The common structural parameters of RDT, including pitch ratio, disk ratio and rake angle, are selected as design variables to carry out the Box−Behnken experimental design combined with the simulation data obtained through CFD calculations. The response surface second-order model is employed to evaluate the extent to which different parameters can affect the target variable and obtain the optimal hydraulic efficiency. The results show that the established model has high precision, good reproducibility and strong anti-interference ability. The influence of the pitch ratio, rake angle and disk ratio on open water efficiency decreases in sequence. Compared with the prototype RDT, the maximum effic... [more]
Energy-Aware Scheduling for High-Performance Computing Systems: A Survey
Bartłomiej Kocot, Paweł Czarnul, Jerzy Proficz
March 20, 2023 (v1)
Keywords: DVFS, energy-aware metrics, energy-aware scheduling, high-performance computing, power capping
High-performance computing (HPC), according to its name, is traditionally oriented toward performance, especially the execution time and scalability of the computations. However, due to the high cost and environmental issues, energy consumption has already become a very important factor that needs to be considered. The paper presents a survey of energy-aware scheduling methods used in a modern HPC environment, starting with the problem definition, tackling various goals set up for this challenge, including a bi-objective approach, power and energy constraints, and a pure energy solution, as well as metrics related to the subject. Then, considered types of HPC systems and related energy-saving mechanisms are described, from multicore-processors/graphical processing units (GPU) to more complex solutions, such as compute clusters supporting dynamic voltage and frequency scaling (DVFS), power capping, and other functionalities. The main section presents a collection of carefully selected a... [more]
Semitransparent Perovskite Solar Cells for Building Integrated Photovoltaics: Recent Advances
Kalavala Shivaprakash Srivishnu, Prasutha Rani Markapudi, Senthilarasu Sundaram, Lingamallu Giribabu
March 20, 2023 (v1)
Keywords: building integrated photovoltaics, flexible, nano, perovskites, semitransparent
Perovskite solar cells technology is one of the most advanced and fascinating technologies in the field of photovoltaics due to its low-cost processing and delivering efficient power conversion efficiencies. The ability to become transparent is another prolific property of the perovskite solar cells, which this property has been tried to be exploited in recent times by researchers to serve the environmental and energy needs of human beings. Using this transparency and enabling semitransparent perovskite solar cells (ST-PSCs) to be placed on the windows and rooftops of buildings will reduce room temperature along with fulfilling certain requirements of power needs. This review pays attention to the recent developments in the semitransparent perovskite solar cells from the perspective of the structure of ST PSCs, electrodes and others.
Economic and Regulatory Uncertainty in Renewable Energy System Design: A Review
Àlex Alonso-Travesset, Diederik Coppitters, Helena Martín, Jordi de la Hoz
March 20, 2023 (v1)
Subject: Energy Policy
Keywords: electricity price, energy policy, Optimization, real options, Renewable and Sustainable Energy, uncertainty
Renewable energy is increasingly mobilizing more investment around the globe. However, there has been little attention to evaluating economic and regulatory (E&R) uncertainties, despite their enormous impact on the project cashflows. Consequently, this review analyzes, classifies, and discusses 130 articles dealing with the design of renewable energy projects under E&R uncertainties. After performing a survey and identifying the selected manuscripts, and the few previous reviews on the matter, the following innovative categorization is designed: sources of uncertainty, uncertainty characterization methods, problem formulations, solution methods, and regulatory frameworks. The classification reveals that electricity price is the most considered source of uncertainty, often alone, despite the existence of six other equally influential groups of E&R uncertainties. In addition, real options and optimization arise as the two main approaches researchers use to solve problems in energy system... [more]
Convolutional Neural Networks for Classifying Electronic Components in Industrial Applications
Stanisław Hożyń
March 20, 2023 (v1)
Keywords: computer vision, convolutional neural network, deep learning, electronic component, image classification, image features, industrial application, Machine Learning, pretrained neural network
Electronic component classification often constitutes the uncomplicated task of classifying a single object on a simple background. It is because, in many applications, a technological process employs constant lighting conditions, a fixed camera position, and a designated set of classified components. To date, there has not been an adequate attempt to develop a method for object classification under the above conditions in industrial applications. Therefore, this work focuses on the classification problem of a particular technological process. The process classifies electronic components on an assembly line using a fixed-mounted camera. The research investigated all the essential steps required to build a classification system, such as image acquisition, database creation, and neural network development. The first part of the experiment was devoted to creating an image dataset utilising the proposed image acquisition system. Then, custom and pre-trained networks were developed and test... [more]
An Optimal Method of Energy Management for Regional Energy System with a Shared Energy Storage
Xianan Jiao, Jiekang Wu, Yunshou Mao, Weiming Luo, Mengxuan Yan
March 20, 2023 (v1)
Subject: Environment
Keywords: Big-M method, energy management, load integration, micro energy systems (MESs), regional energy system (RES), shared energy storage system (SESS)
The regional energy system (RES) is a system that consumes multiple forms of energy in the region and achieves coordinated and efficient utilization of energy resources. The RES is composed of multiple micro energy systems (MESs); however, due to the mismatch of energy resources and different energy consumption within each MES, a large amount of clean energy is wasted, and each MES has to acquire extra energy. This significantly increases operation costs and contributes to environmental pollution. One of the promising ways to solve this problem is to deploy an energy storage system in the RES, which can make use of its advantages to transfer energy in space-time and fulfill the demand for loads in different periods, and conduct unified energy management for each MES in the RES. Nevertheless, a large number of users are deterred by the high investment in energy storage devices. A shared energy storage system (SESS) can allow multi-MESs to share one energy storage system, and meet the en... [more]
Microalgal Consortia for Waste Treatment and Valuable Bioproducts
Shousong Zhu, Lauren Higa, Antonia Barela, Caitlyn Lee, Yinhua Chen, Zhi-Yan Du
March 20, 2023 (v1)
Keywords: biofuel, biomass production, microalgal consortia, resource recovery, symbiosis, wastewater treatment
Microalgae have been considered a promising and sustainable candidate for wastewater treatment and valuable bioproducts, such as feedstocks for food, nutrients, and energy. However, many challenging bottlenecks, such as low biomass productivity, expensive biomass harvesting techniques, and inefficient extraction of biofuels restrict its large-scale commercial production. Symbiotic relationships between microalgae and bacteria, also known as microalgal consortia, have proven to be effective solutions for mitigating technical and economic limitations. The natural and artificial symbiotic microalgal consortia combine microorganisms with various metabolic activities, which leads to valuable biomass production and the removal of nutrients, pharmaceuticals, and personal care products (PPCP) from wastewater. Many microalgal consortia have been applied for various wastewater treatments with reduced energy costs and higher efficiency in recovering valuable resources. In this study we review the... [more]
Intelligent Identification Method for Drilling Conditions Based on Stacking Model Fusion
Yonghai Gao, Xin Yu, Yufa Su, Zhiming Yin, Xuerui Wang, Shaoqiang Li
March 20, 2023 (v1)
Keywords: drilling, intelligent identification, Machine Learning, stacking model fusion
Due to the complex and changing drilling conditions and the large scale of logging data, it is extremely difficult to process the data in real time and identify dangerous working conditions. Based on the multi-classification intelligent algorithm of Stacking model fusion, the 24 h actual working conditions of an XX well are classified and identified. The drilling conditions are divided into standpipe connection, tripping out, tripping in, Reaming, back Reaming, circulation, drilling, and other conditions. In the Stacking fusion model, the accuracy of the integrated model and the base learner is compared, and the confusion matrix of the drilling multi-condition recognition results is output, which verifies the effectiveness of the Stacking model fusion. Based on the variation in the parameter characteristics of different working conditions, a real-time working condition recognition diagram of the classification results is drawn, and the adaptation rules of the Stacking fusion model unde... [more]
Numerical and Experimental Analysis of Shell and Tube Heat Exchanger with Round and Hexagonal Tubes
Abdullah Khan, Imran Shah, Waheed Gul, Tariq Amin Khan, Yasir Ali, Syed Athar Masood
March 20, 2023 (v1)
Keywords: Ansys Fluent, Computational Fluid Dynamics, hexagonal tubes, Reynolds number, shell and tube heat exchanger, temperature drop
Shell and tube heat exchangers are used to transfer thermal energy from one medium to another for regulating fluid temperatures in the processing and pasteurizing industries. Enhancement of a heat transfer rate is desired to maximize the energy efficiency of the shell and tube heat exchangers. In this research work, we performed computational fluid dynamics (CFD) simulations and experimental analysis on the shell and tube heat exchangers using round and hexagonal tubes for a range of flow velocities using both parallel flow and counter flow arrangements. In the present work, the rate of heat transfer, temperature drop, and heat transfer coefficient are computed using three turbulence models: the Spalart−Allmaras, the k-epsilon (RNG), and the k-omega shear stress transport (SST). We further utilized the logarithmic mean temperature difference (LMTD) method to compute the heat transfer and mass flow rates for both parallel and counter flow arrangements. Our results show that the rate of... [more]
Heteroatom-Doped Nickel Sulfide for Efficient Electrochemical Oxygen Evolution Reaction
Xingqun Zheng, Ling Zhang, Wei He, Li Li, Shun Lu
March 20, 2023 (v1)
Keywords: DFT calculations, heteroatom doping, nickel sulfide, oxygen evolution reaction
Heteroatom doping is an effective strategy to regulate electrocatalysts for the oxygen evolution reaction (OER). Nonmetal heteroatoms can effectively engineer geometric and electronic structures and activating surface sites of catalysts due to their unique radius and the electronegativity of nonmetal atoms. Hence, the surface geometric and electronic structure and activity of nonmetal atoms (X, X = B, C, N, O, P)-doped Ni3S2 (X-Ni3S2) were studied to screen high-performance Ni3S2-based OER electrocatalysts through density functional theory calculation. Theoretical results demonstrated that dopants in X-Ni3S2 can alter bond length and charge of surface, modify active sites for intermediates adsorption, and adjust the theoretical overpotential. Among all dopants, C can effectively modulate surface structure, activate surface sites, weaken the adsorption of key intermediates, decrease theoretical overpotential, and enable C-Ni3S2 with the best theoretical OER activity among all X-Ni3S2 wi... [more]
A Review of Distributed Secondary Control Architectures in Islanded-Inverter-Based Microgrids
Omar F. Rodriguez-Martinez, Fabio Andrade, Cesar A. Vega-Penagos, Adriana C. Luna
March 20, 2023 (v1)
Keywords: decentralized control, distributed control, microgrids, power system, renewable sources, secondary control
The increasing energy demand, the shortage of energy resources, and the environmental challenges faced by conventional power-generation systems are some of the ongoing challenges faced by modern power systems. Therefore, many efforts have been made by the scientific community to develop comprehensive solutions to overcome these issues. For instance, current technological advances have allowed the integration of distributed generators into the power systems, promoting the use of microgrids to overcome these issues. However, the use of renewable distributed generators have introduced new challenges to the traditional control system schemes. To overcome these challenges, a hierarchical control approach has been proposed for distributed renewable sources. In other words, the control scheme have been divided into three hierarchical levels, primary, secondary, and tertiary, to overcome the new challenges present in modern power systems. Due to extensiveness of this topic, this overview is fo... [more]
Analytical Model for the Pressure Performance Analysis of Multi-Fractured Horizontal Wells in Volcanic Reservoirs
Junqiang Wang, Xiaolong Qiang, Zhengcheng Ren, Hongbo Wang, Yongbo Wang, Shuoliang Wang
March 20, 2023 (v1)
Keywords: multi-fractured horizontal well, multi-scale flow, pressure transient analysis, stress sensitivity, threshold pressure gradient, volcanic reservoir
Multi-fractured horizontal well (MFHW) technology is a key technology for developing unconventional reservoirs, which can generate a complex fracture network called a stimulated reservoir volume (SRV). Currently, there are many relative analytical models to describe the fluid seepage law, which are not suitable for volcanic reservoirs as of yet. The reasons are as follows: (1) due to the development of natural fractures, multi-scaled flow (matrix, natural fractures, SRV) should be considered to characterize MFHW flow in volcanic reservoirs; (2) non-Darcy flow and stress sensitivity should be considered simultaneously for seepage in volcanic reservoirs. Thus, this paper presents a novel MFHW analysis model of volcanic reservoirs that uses a multi-scale dual-porosity medium model and complex flow mechanisms. Laplace transformation, the Duhamel principle, the perturbation method and Stehfest numerical inversion are employed to solve the model to obtain dynamic pressure response curves. Th... [more]
Power Generation by Halophilic Bacteria and Assessment of the Effect of Salinity on Performance of a Denitrifying Microbial Fuel Cell
Ankisha Vijay, Prakash C. Ghosh, Suparna Mukherji
March 20, 2023 (v1)
Subject: Biosystems
Keywords: charge transfer resistance, denitrification, halophiles, microbial fuel cell, salinity
Saline wastewater pollution is a critical issue that needs to be addressed. The present study focused on the development of a dual-chambered microbial fuel cell (MFC) treating saline wastewater at the anode. Halophilic exo-electrogenic bacteria enriched from seawater (Arabian Sea, Mumbai, India) were used in the anodic chamber of the MFC. Denitrification using denitrifying bacteria was employed in the cathodic chamber. The maximum power density was significantly increased from 96.77 mW/m2 to 162.09 mW/m2 with a rise in NaCl concentration from 20 to 40 g/L. Nitrate removal in the cathode chamber increased from 80 ± 3% to 89 ± 3.2% with increase in salt concentration from 20 g/L to 40 g/L and concomitantly COD removal in the anode chamber increased from 76 ± 3.8% to 83 ± 4%. Cyclic voltammetry (CV) analysis revealed higher electrochemical activity at 40 g/L salt concentration. Electrochemical impedance spectroscopy (EIS) analysis exhibited that charge transfer and solution resistances we... [more]
Thermal Management Techniques for Lithium-Ion Batteries Based on Phase Change Materials: A Systematic Review and Prospective Recommendations
Hong Shi, Mengmeng Cheng, Yi Feng, Chenghui Qiu, Caiyue Song, Nenglin Yuan, Chuanzhi Kang, Kaijie Yang, Jie Yuan, Yonghao Li
March 20, 2023 (v1)
Subject: Materials
Keywords: bibliometric analysis, lithium-ion batteries, phase change materials, safety, thermal management
Thermal management systems for lithium-ion batteries based on the cooling and heating of phase change materials have become a popular research topic. However, the low thermal conductivity, flame resistance, high and low temperature adaptability of phase change materials, as well as the thermal runaway mechanisms and lightweight design of phase change material-based systems remain to be explored. The aim of this paper is to conduct a publication-wide macro bibliometric review on thermal management systems for lithium-ion batteries based on phase change material to date. Total of 583 associated publications were retrieved from the Web of Science Core Collection database for the period 2006−2022. A bibliometric study was conducted through the visualization software VOSviewer. The findings were derived from annual publication trends, geographical and institutional distribution, authors and their collaborative networks, keyword network analysis and analysis of highly cited publications as w... [more]
A Novel Semianalytical Model for the Relationship between Formation Pressure and Water Saturation in Coalbed Methane Reservoirs
Long Yang, Yizhong Zhang, Maolin Zhang, Bin Ju
March 20, 2023 (v1)
Subject: Materials
Keywords: coalbed methane reservoirs, formation pressure and water saturation, material balance, pore compressibility, recovery
The accuracy of the relationship between formation pressure and water saturation has a direct impact on predicting the production performance of coal reservoirs. As a result, researchers are becoming more interested in this connection. The most commonly used method to evaluate this connection is the semianalytic method, but it disregards the impact of coal matrix shrinkage on pore compressibility, resulting in inaccurate water saturation estimations for coal reservoirs. A material balance equation that considers the effect of coal matrix shrinkage on cleat porosity and pore compressibility, as well as the gas−water relative permeability curve, is used for the first time in this study to establish a model between pressure and water saturation. Furthermore, this study extends the proposed pressure−saturation model to predict cumulative gas production and gas recovery, resolving the difficult problem of calculating recovery for coalbed methane reservoirs. To verify its accuracy, this stud... [more]
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