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Predicting Enthalpy of Combustion Using Machine Learning
Abdul Gani Abdul Jameel, Ali Al-Muslem, Nabeel Ahmad, Awad B. S. Alquaity, Umer Zahid, Usama Ahmed.
February 21, 2023 (v1)
Keywords: enthalpy of combustion, functional groups, Machine Learning, oxygenated fuels
The present work discusses the development and application of a machine-learning-based model to predict the enthalpy of combustion of various oxygenated fuels of interest. A detailed dataset containing 207 pure compounds and 38 surrogate fuels has been prepared, representing various chemical classes, namely paraffins, olefins, naphthenes, aromatics, alcohols, ethers, ketones, and aldehydes. The dataset was subsequently used for constructing an artificial neural network (ANN) model with 14 input layers, 26 hidden layers, and 1 output layer for predicting the enthalpy of combustion for various oxygenated fuels. The ANN model was trained using the collected dataset, validated, and finally tested to verify its accuracy in predicting the enthalpy of combustion. The results for various oxygenated fuels are discussed, especially in terms of the influence of different functional groups in shaping the enthalpy of combustion values. In predicting the enthalpy of combustion, 96.3% accuracy was ac... [more]
Vapor Overproduction Condition Monitoring in a Liquid−Vapor Ejector
Serhii Sharapov, Jana Mižáková, Danylo Husiev, Vitalii Panchenko, Vitalii Ivanov, Ivan Pavlenko, Kamil Židek.
February 21, 2023 (v1)
Keywords: degree of vapor overproduction, Energy Efficiency, experimental study, interchangeable geometry, liquid–vapor ejector, vacuum unit
We consider the influence of vapor content in the mixed flow leaving a liquid-vapor ejector on the energy efficiency of a vacuum unit. As shown by numerical studies of liquid-vapor ejectors, this issue is important as vapor overproduction, which accompanies the process of secondary flow ejection, directly impacts the efficiency of the working process of both the liquid-vapor ejector and the vacuum unit as a whole. The greater the degree of vapor overproduction, the greater the load on the vapor phase of the separator, which is part of the vacuum unit. In addition, the liquid phase must be returned to the cycle to ensure the constancy of the mass flow rate of the working fluid of the primary flow. Our numerical study results revealed the rational value of the degree of vapor overproduction at which the efficiency of the liquid−vapor ejector was maximized, and the amount of additional working fluid that needed to enter the cycle of the vacuum unit was minimal. Experimental condition moni... [more]
Effects of Container Design on the Temperature and Moisture Content Distribution in Pork Patties during Microwave Heating: Experiment and Numerical Simulation
Hwabin Jung, Myeong Gi Lee, Won Byong Yoon.
February 21, 2023 (v1)
Keywords: container design, evaporation, microwave heating, numerical simulation, pork patty
Effects of the container design on the heat transfer rate and food quality during microwave heating were explored and validated with numerical simulations and experiments. The uniformity of moisture content and temperature was investigated, and to describe microwave heating patterns, a simulation model was created. Pork patties with different moisture and salt contents were heated in three different containers (center and edge-perforated lid as well as without lid) to achieve 80 °C using a domestic microwave oven. Compared to the center or mid-way positions, the temperatures at the edge of the patties rose quickly. By containing the evaporated vapor from the heated pork patties inside the container, the container with a center-perforated lid decreased the heating rate and non-uniformity in temperature and moisture content. A simplified numerical model for the electromagnetics, heat, and momentum transfer coupling simulation was developed to understand the moisture and temperature distr... [more]
A Study of Performance Evaluation for Textile and Garment Enterprises
Chia-Nan Wang, Phuong-Thuy Thi Nguyen, Yen-Hui Wang, Thanh-Tuan Dang.
February 21, 2023 (v1)
Keywords: data envelopment analysis, EBM, efficiency, Malmquist, textile and garment industry
Vietnam’s textile and garment enterprises make an important contribution to the country with the second largest export turnover. The existence and development of textile and garment enterprises have a significant influence on the socioeconomic development of Vietnam. Currently, Vietnam’s textile and garment industry is facing difficulties caused by the COVID-19 pandemic, along with competition from foreign direct investment (FDI) enterprises. Therefore, it is imperative for managers to assess competitiveness by measuring their past and current performance indicators. This study assesses the performance of Vietnam’s 10 textile and garment enterprises from 2017 to 2020 by combining the DEA−Malmquist productivity index (MPI) and epsilon-based measure (EBM) model. The proposed model considered three inputs (total assets, cost of goods sold, and liabilities) and two outputs (total revenue and gross profit). In addition to showing the best-performing companies from certain aspects during the... [more]
Tool Wear in Nickel-Based Superalloy Machining: An Overview
Rui Wang, Dayong Yang, Wei Wang, Furui Wei, Yuwei Lu, Yuqi Li.
February 21, 2023 (v1)
Subject: Environment
Keywords: extended tool life, failure mechanism, nickel-based superalloys, optimization of cutting environment, tool wear
Nickel-based superalloys have been widely used in the aerospace, petrochemical, and marine fields and others because of their good oxidation resistance, corrosion resistance, stability, and reliability at various temperatures. However, as a nickel-based superalloy is a kind of processed material, in the cutting process a large amount of cutting heat is generated due to the interaction between the tool and the workpiece. At the same time, the low thermal conductivity of the workpiece causes a large amount of cutting heat to accumulate at the contact point, resulting in serious tool wear, reduced tool life, frequent tool changes, and other problems, which increase the production cost of the enterprise. This paper introduces the tool wear mechanisms (abrasive wear, adhesive wear, plastic deformation, chemical wear, etc.) in the machining process of nickel-based superalloys and summarizes the research status of failure mechanisms, tool wear optimization, etc. Based on a review of the exist... [more]
Impact of Geomagnetic Fields on the Geochemical Evolution of Oil
Andrey A. Ponomarev, Marat R. Gafurov, Marsel A. Kadyrov, Oscar A. Tugushev, Denis A. Drugov, Yuri V. Vaganov, Mikhail D. Zavatsky.
February 21, 2023 (v1)
Keywords: carbon isotopic composition, geochemical correlation, geochemical evolution of oil, geomagnetic fields
Here, we reported on experimental studies related to the exposure of oil to a 50 Hz electromagnetic field (0.81 T strength) and examined the changes in the geochemical characteristics of oil: n-alkane distribution, isotopic composition (δ13C), and concentration of paramagnetic centers. We discovered that electromagnetic fields have impacts on the distribution of n-alkanes and on their individual isotopic composition, with the concentration of paramagnetic centers remaining unchanged. While discussing the results, we looked into the state-of-the-art of research on electromagnetic exposures of the bottom-hole formation zone and into natural electric and geomagnetic fields. We consequently hypothesized that natural geomagnetic fields can influence the geochemical evolution processes of oil. This hypothesis requires further studies to reveal the frequency and strength characteristics of natural geomagnetic fields.
Simultaneous Anaerobic Ammonium Oxidation and Electricity Generation in Microbial Fuel Cell: Performance and Electrochemical Characteristics
Jiqiang Zhang, Zaiwang Zhang, Kun Rong, Haiying Guo, Jing Cai, Yajuan Xing, Lili Ren, Jiayun Ren, Tao Wu, Jialiang Li, Ping Zheng.
February 21, 2023 (v1)
Subject: Biosystems
Keywords: anode anaerobic ammonium oxidation, electricity generation, electrochemical characteristics, microbial fuel cell
In this study, a microbial fuel cell (MFC) that can achieve simultaneous anode anaerobic ammonium oxidation (anammox) and electricity generation (anode anammox MFC) by high-effective anammox bacteria fed with purely inorganic nitrogen media was constructed. As the influent concentrations of ammonium (NH4+-N) and nitrite (NO2−-N) gradually increased from 25 to 250 mg/L and 33−330 mg/L, the removal efficiencies of NH4+-N, NO2−-N and TN were over 90%, 90% and 80%, respectively, and the maximum volumetric nitrogen removal rate reached 3.01 ± 0.27 kgN/(m3·d). The maximum voltage and maximum power density were 225.48 ± 10.71 mV and 1308.23 ± 40.38 mW/m3, respectively. Substrate inhibition took place at high nitrogen concentrations (NH4+-N = 300 mg/L, NO2−-N = 396 mg/L). Electricity production performance significantly depended upon the nitrogen removal rate under different nitrogen concentrations. The reported low coulombic efficiency (CE, 4.09−5.99%) may be due to severe anodic polarization... [more]
Molecular Dynamics Simulation on the Pyrolysis Process of PODE3-5
Qiren Zhu, Fang Wang, Jie-Yao Lyu, Yang Li, Dongping Chen, Wenming Yang.
February 21, 2023 (v1)
Keywords: molecular dynamic, PODEn, pyrolysis, soot
This paper investigates the pyrolysis of PODEn (n = 3, 4, 5) using ReaxFF molecular dynamics simulation. A large-scale model, which contains 2000 PODEn molecules, is simulated at 3000 K. The higher frequencies of the initial PODEn decomposition reaction at α or β C-O bond show that the α or β C-O bond in PODEn is not easy to break, which is approximately half the number of the other type of C-O bond dissociation. Furthermore, the bond dissociation energies (BDEs) are calculated using the ReaxFF method. The BDE of α or β C-O bond is higher than that of the other C-O bond, ~3−11 kcal/mol, indicating that BDE is one of the factors causing the different proportions of bonds broken. The evolution of pyrolysis products is also investigated. The results reveal that long-chain pyrolysis products from the initial PODEn decomposition are prone to further reaction, while a large amount of CH3O and CH3 remains in the system. This helps explain the difficulty in α and β C-O bond dissociation reacti... [more]
Energy and Economic Assessment of a System Integrated by a Biomass Downdraft Gasifier and a Gas Microturbine
Nelson Calderon Henao, Osvaldo José Venturini, York Castillo Santiago, Electo Eduardo Silva Lora, Diego Mauricio Yepes Maya, Edson de Oliveira Pamplona, Jhon Steven Navarro Hoyos, Oswaldo Hideo Ando Junior.
February 21, 2023 (v1)
Keywords: downdraft gasifier, economic assessment, gas microturbine, Monte Carlo evaluation, Syngas
This work focuses on the energy and economic evaluation of a power generation system composed of a downdraft gasifier and gas microturbine. The gasification process was studied using wood pellets as fuel, while the influence of two gasification agents (air and oxygen-enriched air) on parameters, such as low heating value (LHV), composition, and yield of syngas, were analyzed. The syngas produced from oxygen-enriched air gasification in a downdraft gasifier had an LHV higher than 8 MJ/Nm3, being suitable to be supplied in the gas microturbine. Subsequently, syngas use in the gas microturbine was evaluated, and the results demonstrated that microturbine efficiency dropped from 33.00% to 21.35%, while its power decreased from 200 kW to 81.35 kW. The power generation system was modeled using Aspen Plus® v 11.0 software and validated using results obtained from published experimental studies. Accordingly, the integrated generation system presented an overall efficiency of 11.82% for oxygen-... [more]
Neural-Network-Based Nonlinear Model Predictive Control of Multiscale Crystallization Process
Liangyong Wang, Yaolong Zhu.
February 21, 2023 (v1)
Keywords: deep learning, feedforward neural network, image analysis, multiscale crystallization process, Nonlinear Model Predictive Control
The purpose of this study was to develop an integrated control strategy for multiscale crystallization processes. An image analysis method using a deep learning neural network is used to measure the fine-scale information of the crystallization process, and the mathematical statistical method is adopted to obtain the mean size of the crystal population. A feedforward neural network is subsequently trained and employed in a nonlinear model predictive control formulation to obtain the optimal profile of the manipulated variable. The effectiveness of the proposed nonlinear model predictive control method is evaluated using alum cooling crystallization experiments. Experimental results demonstrate benefits of the proposed combination of feedforward neural network and nonlinear model predictive control method for the multiscale crystallization process.
Assessment of Antimicrobial, Anticancer, and Antioxidant Activity of Verthimia iphionoides Plant Extract
Fuad Al-Rimawi, Hamada Imtara, Mahmoud Khalid, Zaidoun Salah, Mohammad Khalid Parvez, Asmaa Saleh, Omkulthom Al kamaly, Christina Shawki Dahu.
February 21, 2023 (v1)
Subject: Biosystems
Keywords: DPPH, FRAP, HPLC-PDA, HT29, MCF
extract from Palestine was tested in vitro for its antioxidant, antibacterial, and anticancer activities. Total phenolic content (TPC) and total flavonoid content (TFC) measurements were made concurrently. By using FRAP and DPPH methods, the antioxidant activity were measured spectrophotometrically. By using HPLC-PDA, phenolic and flavonoid compounds of the extract were determined. Results showed strong antioxidant activity of the plant extract revealed by inhibition of stable free radicals (DPPH test) and strong reducing ability (FRAP test). According to spectrophotometric methods for total phenolic compounds and total flavonoids content, the extracts were also found to be rich in polyphenolic compounds and flavonoids. Verthimia iphionoides extract had high antibacterial activity against three bacterial strains (Escherichia coli, Staphylococcus aureus, and Streptococcus aureus), with inhibition zone values of 14 mm, 25 mm, and 27 mm, respectively. Bioactivities were primarily attribut... [more]
Valorization Potential of Oil Industry By-Products as Sources of Essential Fatty Acids
Adriana Laura Mihai, Mioara Negoiță, Gabriela-Andreea Horneț, Nastasia Belc.
February 21, 2023 (v1)
Keywords: by-products, flours, fortification, functional foods, groats, linoleic acid, linolenic acid, meals, valorization
The oil industry generates a high number of by-products which have the potential to be used in food formulation after they are properly treated. The aim of this study was to evaluate the nutritional potential of 14 different vegetable by-products from the oil industry (flour, meals, and groats) in terms of fatty acid composition and to investigate the effect of theoretical fortification of the bakery products with by-products high in ω-3. Results showed that some of the analyzed samples contain significant amounts of polyunsaturated fatty acids. Organic walnut flour and grape seed flour had a linoleic acid content higher than 60%. By-products obtained from thistle and sesame had a linoleic acid content ranging between 47.32% and 54.72%. Higher linolenic content was obtained for hemp flour (33.22%), red grape seeds meals (33.62%), and golden flax meals (64.65%). By theoretical fortification of wheat and wholemeal flours with high ω-3 by-products in a proportion of 5, 10, and 15%, the ω-... [more]
CO2 Adsorption Performance on Surface-Functionalized Activated Carbon Impregnated with Pyrrolidinium-Based Ionic Liquid
Syeda Saba Fatima, Azry Borhan, Muhammad Ayoub, Noraini Abd Ghani.
February 21, 2023 (v1)
Subject: Materials
Keywords: activated carbon, Biomass, Carbon Dioxide Capture, functionalization, ionic liquid, wet impregnation
The serious environmental issues associated with CO2 emissions have triggered the search for energy efficient processes and CO2 capture technologies to control the amount of gas released into the atmosphere. One of the suitable techniques is CO2 adsorption using functionalized sorbents. In this study, a functionalized activated carbon (AC) material was developed via the wet impregnation technique. The AC was synthesized from a rubber seed shell (RSS) precursor using chemical activation and was later impregnated with different ratios of [bmpy][Tf2N] ionic liquid (IL). The AC was successfully functionalized with IL as confirmed by FTIR and Raman spectroscopy analyses. Incorporation of IL resulted in a reduction in the surface area and total pore volume of the parent adsorbent. Bare AC showed the largest SBET value of 683 m2/g, while AC functionalized with the maximum amount of IL showed 14 m2/g. A comparative analysis of CO2 adsorption data revealed that CO2 adsorption performance of AC... [more]
Enhanced Multiphase Flow Measurement Using Dual Non-Intrusive Techniques and ANN Model for Void Fraction Determination
Shivan Mohammed, Lokman Abdulkareem, Gholam Hossein Roshani, Ehsan Eftekhari-Zadeh, Ezadin Haso.
February 21, 2023 (v1)
Keywords: ANN, capacitance, flow measurement, flow regimes, gamma-ray, multiphase flow, neural networks, sensors, void fraction
There are many petrochemical industries that need adequate knowledge of multiphase flow phenomena inside pipes. In such industries, measuring the void fraction is considered to be a very challenging task. Thus, various techniques have been used for void fraction measurements. For determining more accurate multiphase flow measurements, this study employed dual non-intrusive techniques, gamma-ray and electrical capacitance sensors. The techniques using such sensors are considered non-intrusive as they do not cause any perturbation of the local structure of the phases’ flow. The first aim of this paper is to analyze both techniques separately for the void fraction data obtained from practical experiments. The second aim is to use both techniques’ data in a neural network model to analyze measurements more efficiently. Accordingly, a new system is configured to combine the two techniques’ data to obtain more precise results than they can individually. The simulations and analyzing procedur... [more]
The Fracture and Energy of Coal Evolution under Thermo-Mechanical Coupling via a Particle Flow Simulation
Yongsheng Gu, Lei Song, Lei Zhang, Xiangyu Wang, Zhenbo Zhao.
February 21, 2023 (v1)
Keywords: acoustic emission, Energy, particle flow simulation, temperature, three-axis
The increase in mining depth causes the temperature of the coal seam to rise. Studying the effect of temperature on the mechanical property of coal is very necessary. In this paper, based on the results of conventional triaxial compression experiments of coal samples, the discrete element program PFC2D was used to conduct a conventional triaxial compression simulation of coal samples to obtain microscopic parameters. On this basis, the conventional triaxial simulation study of coal samples at different temperatures was carried out to explore the influence of temperature on the physical and mechanical properties of coal. In this process, acoustic emission and energy monitoring were carried out. The damage and failure process of coal is divided into three stages: the undamaged stage, the stable damage stage, and the rapid damage stage. The relationship between acoustic emission characteristic law, energy transformation law, and crack evolution in the damage and failure process of coal wa... [more]
Microbial Communities and Metabolites of Whole Crop Corn Silage Inoculated with Lentilactobacillus plantarum and Lentilactobacillus buchneri
Qian Guo, Xia Hao, Yuerui Li, Qing Zhang, Chao Wang, Hongyan Han.
February 21, 2023 (v1)
Subject: Biosystems
Keywords: aerobic stability, Lentilactobacillus buchneri, Lentilactobacillus plantarum, metabolites, microbial community
To investigate the effects of different types of lactic acid bacteria (LAB) on aerobic stability, microbial community and metabolites of whole crop corn silage ensiled with Lentilactobacillus plantarum (LP) and Lentilactobacillus buchneri (LB) or not (CK), the fermentation parameters, aerobic stability, microbial community and metabolite differential components of whole crop corn silage were analyzed after ensiling for 8 months. The results showed that the pH of the whole treatment was lower than 4.2, which indicates good fermentation quality. Compared with the LP group, the LB group significantly improved the aerobic stability of whole crop corn silage (p < 0.05). The addition of LB and LP both increased the number of LAB and the relative abundance of Lentilactobacillus. Metabolite analysis results showed that 28 metabolites were significantly different between the LP and CK groups (p < 0.01), 15 metabolites were significantly different between the LB and CK groups (p < 0.01)... [more]
Incorporated Metal−Organic Framework Hybrid Materials for Gas Separation, Catalysis and Wastewater Treatment
Zahirah Jaffar, Normawati M. Yunus, Maizatul Shima Shaharun, Muhammad Faizadmesa Allim, Asyraf Hanim Ab Rahim.
February 21, 2023 (v1)
Subject: Materials
Keywords: Catalysis, gas separation, hybrid, incorporated, MOF, Wastewater
The special features of metal−organic frameworks (MOFs), namely, tunable porosity, exceptional structure, high surface area and high adsorption capability enable them to be widely studied in many applications including carbon capture and storage (CCS), biomedical engineering, catalysis and pollutant treatment. Despite these remarkable properties, MOFs are known to be moisture-sensitive, hardly recyclable and expensive in fabrication cost which limits their breakthrough performance in more efficient uses. Recently, extensive studies have been devoted to counter those shortcomings by embedding MOFs with support materials using various series of synthetic designs to yield incorporated MOF hybrid materials to counter their limitations. In view of this interest, this review summarizes the latest developments of incorporated MOFs with various materials, namely, ionic liquids (ILs), membranes and metal species. Pre-synthetic and post-synthetic synthesis methods are also discussed. This review... [more]
Research on Gas Channeling Identification Method for Gas Injection Development in High-Pressure Heterogeneous Reservoir
Juan Luo, Lei Wang.
February 21, 2023 (v1)
Keywords: gas channeling discrimination, heterogeneous, high-pressure reservoir, identification parameters, numerical simulation
In a typical ultra-deep high-temperature and high-pressure heterogeneous reservoir in Xinjiang, gas channeling quickly occurs during gas injection because of the heterogeneity of the reservoir, the low viscosity of gas injection, and the high gas-oil fluidity ratio. The identification and prediction methods of gas channeling in gas injection development were studied. First, gas channeling discrimination parameters were determined by the numerical simulation method. According to the ratio of gas to oil produced and the composition of oil and gas produced, the flow stages of formation fluid were divided into five regions: gas phase zone, two-phase zone, miscible zone, dissolved gas and oil zone, and original oil zone. The basis for gas channeling identification (namely, the field characterization parameters for gas channeling discrimination) was discovered through analysis and the knowledge of the operability of field monitoring data as the following two parameters: (1) the C1 content ri... [more]
Machine Learning with Gradient-Based Optimization of Nuclear Waste Vitrification with Uncertainties and Constraints
LaGrande Lowell Gunnell, Kyle Manwaring, Xiaonan Lu, Jacob Reynolds, John Vienna, John Hedengren.
February 21, 2023 (v1)
Subject: Optimization
Keywords: constrained optimization, dynamic optimization, glass formulation, low-activity waste, Machine Learning, prediction uncertainty, process uncertainty, uncertainty quantification
Gekko is an optimization suite in Python that solves optimization problems involving mixed-integer, nonlinear, and differential equations. The purpose of this study is to integrate common Machine Learning (ML) algorithms such as Gaussian Process Regression (GPR), support vector regression (SVR), and artificial neural network (ANN) models into Gekko to solve data based optimization problems. Uncertainty quantification (UQ) is used alongside ML for better decision making. These methods include ensemble methods, model-specific methods, conformal predictions, and the delta method. An optimization problem involving nuclear waste vitrification is presented to demonstrate the benefit of ML in this field. ML models are compared against the current partial quadratic mixture (PQM) model in an optimization problem in Gekko. GPR with conformal uncertainty was chosen as the best substitute model as it had a lower mean squared error of 0.0025 compared to 0.018 and more confidently predicted a higher... [more]
Numerical Simulation of Hydraulic Fracturing and Penetration Law in Continental Shale Reservoirs
Yanxin Zhao, Lei Wang, Kuo Ma, Feng Zhang.
February 21, 2023 (v1)
Keywords: continental shale, engineering applications, hydraulic fracturing, numerical simulation, penetration propagation
The vertical heterogeneity of continental shale reservoirs is strong, the difference between lithology and stress between layers is large, the weak interface between layers develops, and the hydraulic fracture penetration and expansion are difficult, resulting in poor fracturing transformation effect. In view of this, based on the finite element and cohesive element method, this paper established a fluid-solid coupling model for the hydraulic fracture propagation through the continental shale and studied the control mechanism and influence law of various geological and engineering parameters on the hydraulic fracture propagation through the continental shale reservoir using single factor and orthogonal test analysis methods. Interfacial cementation strength between high layers, high vertical stress difference, low interlaminar stress difference, low tensile strength difference, low elastic modulus difference, high pressure fracturing fluid viscosity, and high injection displacement are... [more]
Valorization of Bayer Red Mud in a Circular Economy Process: Valuable Metals Recovery and Further Brick Manufacture
Carlos Leiva, Fátima Arroyo-Torralvo, Yolanda Luna-Galiano, Rosario Villegas, Luis Francisco Vilches, Constantino Fernández Pereira.
February 21, 2023 (v1)
Subject: Environment
Keywords: circular economy, fired brick, heavy metals, hydrometallurgy, natural radionuclides, red mud
In this work, the recovery of valuable metals from Bayer red mud using hydrometallurgical techniques and the subsequent use of the solid remaining after leaching as the principal component of the fired bricks were analyzed. Water, sulfuric acid, and sodium hydroxide were used as leaching agents. Different L/S ratios and contact times were also tested. According to technical, economic, and environmental considerations, the optimal conditions to recover valuable elements from red mud were 2 M H2SO4, in contact for 24 h, with an L/S ratio = 5. Under these conditions, high leaching yields of valuable elements such as La (47.6%) or V (11%) were achieved. After the leaching process, the remaining solid was mixed with clay and water to produce bricks. Two doses of red mud (50 and 80% w) and two different sintering temperatures (900 and 1100 °C) were tested. When the proportion of treated RM in the mix was increased, the compressive strength of the bricks was reduced, but it was increased as t... [more]
Synergistic Effect of As(III)/Fe(II) Oxidation by Acidianus brierleyi and the Exopolysaccharide Matrix for As(V) Removal and Bioscorodite Crystallization: A Data-Driven Modeling Insight
Ricardo Aguilar-López, Sergio A. Medina-Moreno, Ashutosh Sharma, Edgar N. Tec-Caamal.
February 21, 2023 (v1)
Keywords: arsenic, bioscorodite, exopolysaccharide matrix, iron, Modelling, precipitation
Bioscorodite crystallization is a promising process for the proper immobilization of arsenic from acidic metallurgical wastewater, and Acidianus brierleyi is an effective archaeon to oxidize Fe(II) and As(III) simultaneously. This paper deals with the development of an experimentally validated mathematical model to gain insight into the simultaneous processes of Fe(II) and As(III) oxidation via microbial cells and the exopolysaccharide (EPS) matrix, As(V) precipitation, and bioscorodite crystallization, which are affected by several factors. After the mathematical structure was proposed, a model fitting was performed, finding global determination coefficients between 0.96 and 0.99 (with p-values < 0.001) for all the variables. The global sensitivity analysis via Monte Carlo simulations allowed us to identify the critical parameters whose sensitivity depends on culture conditions. The model was then implemented to evaluate the effect of cell concentration, Fe(II) and As(III) concentr... [more]
Effect on Starting Modes on Centrifugal Pump Performance
Liang Cheng, Kai-Yuan Zhang, Yu-Liang Zhang, Xiao-Qi Jia.
February 21, 2023 (v1)
Keywords: centrifugal pump, external characteristics, frequency conversion, power frequency, start up
In this paper, a small centrifugal pump experiment was conducted under conditions of power frequency startup and frequency conversion startup respectively. The evolutionary trends for hydraulic performance parameters with time were obtained, and the transient properties of the two starting modes were revealed with the help of three dimensionless coefficients. This study revealed the similarities and differences between the two starting modes. In both starting modes, the increase of the valve opening caused a time lag for the flow to reach a steady state. Compared with the power frequency startup mode, the frequency conversion startup mode had weaker shaft power shocks and was safer in practice. The dimensionless flow curves maintained a good evolutionary agreement with the corresponding flow curves. The dimensionless shaft power was extremely high at the beginning of startup and then decreased to a stable value.
Microbial-Mediated Emissions of Greenhouse Gas from Farmland Soils: A Review
Han Wang, Rui Zhao, Dan Zhao, Shejiang Liu, Jianfeng Fu, Yuxin Zhang, Nan Dai, Dan Song, Hui Ding.
February 21, 2023 (v1)
Subject: Environment
Keywords: farmland soil, greenhouse gas emission, microalgae biofertilizer, microorganism
The greenhouse effect is one of the concerning environmental problems. Farmland soil is an important source of greenhouse gases (GHG), which is characterized by the wide range of ways to produce GHG, multiple influencing factors and complex regulatory measures. Therefore, reducing GHG emissions from farmland soil is a hot topic for relevant researchers. This review systematically expounds on the main pathways of soil CO2, CH4 and N2O; analyzes the effects of soil temperature, moisture, organic matter and pH on various GHG emissions from soil; and focuses on the microbial mechanisms of soil GHG emissions under soil remediation modes, such as biochar addition, organic fertilizer addition, straw return and microalgal biofertilizer application. Finally, the problems and environmental benefits of various soil remediation modes are discussed. This paper points out the important role of microalgae biofertilizer in the GHG emissions reduction in farmland soil, which provides theoretical suppor... [more]
Thermal Performance and Energy Conservation Effect of Grain Bin Walls Incorporating PCM in Different Ecological Areas of China
Yan Wang, Changnv Zeng, Chaoxin Hu.
February 21, 2023 (v1)
Keywords: energy saving, grain bin, PCM, PCM latent heat, phase change temperature
China, as one of the largest grain production countries, is faced with a storage loss of at least 20 billion kilograms each year. The energy consumption from grain bin buildings has been rising due to the preferred environmental demand for the long-term storage of grain in China. A prefabricated phase change material (PCM) plate was incorporated into the bin walls to reduce energy consumption. The physical model of PCM bin walls was numerically simulated to optimize the latent heat and phase change temperature of PCMs for ecological grain storage area. The thermal regulating performance of the prefabricated PCM plate on the grain bin wall was optimized. It was indicated that a higher value of latent heat of the PCM is more suitable for the hotter region for storing grain in bins in this paper. The energy saving did not increase in the same proportion as the increase in latent heat, suggesting a diminishing return. In this study, the optimal latent heat ranged from 180 to 250 kJ/kg. The... [more]
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