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Records added in June 2024
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Showing records 251 to 275 of 1043. [First] Page: 7 8 9 10 11 12 13 14 15 Last
Research on Fluid−Solid Coupling Mechanism around Openhole Wellbore under Transient Seepage Conditions
Erhu Liu, Desheng Zhou, Xu Su, Haiyang Wang, Xiong Liu, Jinze Xu
June 10, 2024 (v1)
Subject: Other
Keywords: effective circumferential stress, fluid–solid coupling, open-hole wellbore, pore pressure
Hydraulic fracturing is one of the most important enhanced oil recovery technologies currently used to develop unconventional oil and gas reservoirs. During hydraulic fracture initiation, fluid seeps into the reservoir rocks surrounding the wellbore, inducing rock deformation and changes in the stress field. Analyzing the fluid−solid coupling mechanism around the wellbore is crucial to the construction design of fracturing technologies such as pulse fracturing and supercritical carbon dioxide fracturing. In this study, a new transient fluid−solid coupling model, capable of simulating the pore pressure field and effective stress field around the wellbore, was established based on the Biot consolidation theory combined with the finite difference method. The numerical results are in excellent agreement with the analytical solutions, indicating the reliability of the model and the stability of the computational approach. Using this model, the influence of seepage parameters and reservoir p... [more]
Finite Element Modeling of Crystallization with Temperature Jump to Improve Cryopreservation of Fish Germ Cells
Andrey Matrosov, Arkady Soloviev, Elena Ponomareva, Besarion Meskhi, Dmitry Rudoy, Anastasiya Olshevskaya, Irina Serebryanaya, Dariya Nizhnik, Olga Pustovalova, Tatiana Maltseva
June 10, 2024 (v1)
Keywords: cryopreservation, crystallization, finite element method, phase transition, temperature jump, thermal conductivity
This article is devoted to the further development of a viable technology for low-temperature cryopreservation of reproductive cells of sturgeon fish using acoustic−mechanical fields and intelligent control of the freezing process. Before vitrification begins, the piezoactuator acts on a mixture of cryoprotectant and reproductive cells. This promotes intensive mixing of the cryoprotector and its diffusion through the cell membrane. When vitrification is carried out directly, a phase transition phenomenon is observed, accompanied by crystal formation. This article presents a new mathematical model describing this process as developed by the authors. The corresponding boundary conditions are formulated. Numerical experiments were carried out using the finite element method. It has been established that during vitrification without the use of a cryoprotectant, a sharp temperature jump is observed at the front of the crystalline formation boundary. The use of a cryoprotectant leads to a sl... [more]
Effect of Initial Conditions on the Pore Structure and Bimodal Soil−Water Characteristic Curve of Compacted Granite Residual Soil
Xinran Chen, Minglei Ma, Shumei Zhou, Mingjun Hu, Kejie Zhai, Sen Wei
June 10, 2024 (v1)
Subject: Materials
Keywords: initial condition, matric suction, pore size distribution, soil–water characteristic curve, unsaturated subgrade soils
Granite residual soil typically forms complex pore structures and exhibits high water sensitivity due to physical and chemical weathering processes. Changes in initial compaction conditions significantly affect the mechanical and hydraulic properties of in situ granite residual soil subgrades, with these variations fundamentally related to changes in pore structure and soil−water characteristics. This study investigates the pore structure and bimodal soil−water characteristic curve (SWCC) of a compacted granite residual soil through laboratory tests and mercury intrusion porosimetry tests. Nine initial conditions were selected based on potential in situ compaction conditions of subgrades, and their effects on the pore size distribution (PSD) and SWCC were thoroughly analyzed. The results show strong correlations between bimodal pore structure and SWCC. The size and volume of inter-aggregate pores exhibit noticeable changes with initial conditions, affecting SWCC within the low and midd... [more]
Online Partition-Cooling System of Hot-Rolled Electrical Steel for Thermal Roll Profile and Its Industrial Application
Qiuna Wang, Jiquan Sun, Jiaxuan Yang, Haishen Wang, Lijie Dong, Yanlong Jiao, Jieming Li, Zhenyang Zhi, Lipo Yang
June 10, 2024 (v1)
Keywords: electrical steel, hot-rolled strip, partition cooling, roll temperature field, thermal roll profile
The shape and convexity are crucial quality assessment indicators for hot-rolled electrical steel strips. Besides bending rolls, shifting rolls, and the original roll profile, the thermal roll profile also plays a significant role in controlling the shape and convexity during the hot-rolling process. However, it is always overlooked due to its dynamic uncertainty. To solve this problem, it is necessary to achieve online cooling-status control for the local thermal expansion of rolls. Based on the existing structure of a mill, a pair of special partition-cooling beams with an intelligent cooling system was designed. For high efficiency and practicality, a new online predictive model was established for the dynamic temperature field of the hot-rolling process. An equivalent treatment was applied to the boundary condition corresponding to the practical cooling water flow. In addition, by establishing the corresponding target distribution curve for the partitioned water flow cooling, onlin... [more]
Smoothed Particle Hydrodynamics (SPH) Analysis of Slope Soil−Retaining Wall Interaction and Retaining Wall Motion Response
Qijin Yang, Qiuting Tan, Yi Ren, Hanzhen Fang, Man Hu, Anhong Bao
June 10, 2024 (v1)
Keywords: elastic–plastic constitutive soil, interaction, numerical simulation, slope, smoothed-particle hydrodynamics
The occurrence of slope instability disasters seriously endangers the safety of people’s lives and property in China. Therefore, it is essential to study the slope instability process and the interaction between soil and retaining walls. In this paper, the smoothed-particle hydrodynamics (SPH) method, based on the elastoplastic constitutive model of rock and soil, was used to simulate the entire process of slope instability and the interaction between soil and retaining walls. The model, based on the classical elastic−plastic theory, includes linear elastic deformation and plastic deformation following the non-associated flow rule under the Drucker−Prager (DP) yield criterion. By considering the plastic characteristics of geotechnical materials, this method can accurately simulate the slope movement process. The model was established, calculated, and compared with a slope example, thus verifying its feasibility. Furthermore, the motion response of the retaining wall under different con... [more]
DEM Investigation on the Flow and Heat Transmission Characteristics of Multi-Size Particles Mixed Flow in Moving Bed
Wenbo Cao, Fengxia Zhang, Jianhang Hu, Shiliang Yang, Huili Liu, Hua Wang
June 10, 2024 (v1)
Keywords: discrete element method, moving bed heat exchanger, multi-size particle, waste heat recovery
The moving bed heat exchanger (MBHE) has been widely applied in the recovery of waste heat of industrial particles. Currently, investigations focus on uniform-size particles in the MBHE, but few studies are conducted on multi-size particles produced by industrial granulation. Therefore, based on the discrete element method (DEM), the heat transmission model of multi-size particles is established, and flow and heat transmission processes of typically normal distribution particles in the MBHE are studied. In conclusion, there are significant differences in particles tangential velocity and contact number in local regions of a heat exchanger pipe, resulting in different local heat transmission coefficients. In addition, the increases in outlet particle velocity and inlet particle temperature significantly enhance the heat transmission. When the outlet particle velocity grows from 1 mm/s to 5 mm/s, the overall heat transmission coefficient increases by 36.4%, and as the inlet particle temp... [more]
Bioenergy and Biopesticides Production in Serbia—Could Invasive Alien Species Contribute to Sustainability?
Magdalena Pušić, Mirjana Ljubojević, Dejan Prvulović, Radenka Kolarov, Milan Tomić, Mirko Simikić, Srđan Vejnović, Tijana Narandžić
June 10, 2024 (v1)
Subject: Environment
Keywords: Biofuels, biogas, Biomass, biopesticides, biowaste, circular economy, invasive alien species, nature-based solutions, sustainable development goals, urban greenery
The critical role of energy in contemporary life and the environmental challenges associated with its production imply the need for research and exploration of its novel resources. The present review paper emphasizes the continuous exploitation of non-renewable energy sources, suggesting the transition toward renewable energy sources, termed ‘green energy’, as a crucial step for sustainable development. The research methodology involves a comprehensive review of articles, statistical data analysis, and examination of databases. The main focus is biomass, a valuable resource for bioenergy and biopesticide production, highlighting not only its traditional diverse sources, such as agricultural waste and industrial residues, but also non-edible invasive alien plant species. This study explores the utilization of invasive alien species in circular economy practices, considering their role in bioenergy and biopesticide production. The potential conflict between bioproduct acquisition and foo... [more]
Chaos-Enhanced Archimede Algorithm for Global Optimization of Real-World Engineering Problems and Signal Feature Extraction
Ahmed Bencherqui, Mohamed Amine Tahiri, Hicham Karmouni, Mohammed Alfidi, Youssef El Afou, Hassan Qjidaa, Mhamed Sayyouri
June 10, 2024 (v1)
Keywords: Archimedean optimization algorithm, Artificial Intelligence, chaotic maps, optimization engineering problems
Optimization algorithms play a crucial role in a wide range of fields, from designing complex systems to solving mathematical and engineering problems. However, these algorithms frequently face major challenges, such as convergence to local optima, which limits their ability to find global, optimal solutions. To overcome these challenges, it has become imperative to explore more efficient approaches by incorporating chaotic maps within these original algorithms. Incorporating chaotic variables into the search process offers notable advantages, including the ability to avoid local minima, diversify the search, and accelerate convergence toward optimal solutions. In this study, we propose an improved Archimedean optimization algorithm called Chaotic_AO (CAO), based on the use of ten distinct chaotic maps to replace pseudorandom sequences in the three essential components of the classical Archimedean optimization algorithm: initialization, density and volume update, and position update. T... [more]
Effect of Composite Interface Enhancer on the Cementation Strength of Shale Formation−Cement Ring Interface
Hui Tian, Huajie Liu, Yuhuan Bu, Zihan Chen, Shenglai Guo
June 10, 2024 (v1)
Subject: Materials
Keywords: cementation strength, formation–cement ring interface, interface enhancer, preflush fluid, shale
The cement strength between the cement and the formation is a key factor in determining the cementation sealing capacity. In the shale formation, due to the organic matter content, the cementing quality between the formation and the cement ring is poor, which affects the quality of cementing. It is easy to cause problems such as annulus pressure. To improve the quality of cementing, this paper investigates the effect of amino silane coupling agents, vinyl silane coupling agents and aluminium−zirconate coupling agents on the interface cementation of rock and cement under different conditions. Meanwhile, the effects of different coupling agent compounding on improving the cementation interface cement strength under different temperature and concentration conditions were investigated. This led to the development of a composite interface enhancer. The composite interface enhancer can improve the bond strength between cement and rock by 189.22%. A preflush fluid system was developed to effe... [more]
A Method for Estimating the State of Charge and Identifying the Type of a Lithium-Ion Cell Based on the Transfer Function of the Cell
Ivan Radaš, Luka Matić, Viktor Šunde, Željko Ban
June 10, 2024 (v1)
Keywords: battery cell type estimation, battery cell’s state of charge, battery cell’s transfer function, lithium-ion battery, SoC estimation
This paper proposes a new method for assessing the state of charge (SoC) and identifying the types of different lithium-ion cells used in the battery systems of light electric vehicles. A particular challenge in the development of this method was the SoC estimation time, as the method is intended for implementation in the control system of a bicycle charging station, where the state of charge must be determined immediately after the bicycle is plugged in in order to start the charging process as quickly as possible according to the appropriate charging algorithm. The method is based on the identification of the transfer function, i.e., the dynamic response of the battery voltage to the current pulse. In the learning phase of this method, a database of reference transfer functions and corresponding SoCs for a specific type of battery cell is created. The transfer functions are described by coefficients determined through the optimization procedure. The algorithm for estimating the unkno... [more]
Evolution of Rheological and Microscopic Properties of Asphalt Binders under Fuel Corrosion
Ming Lv, Hongjun Li, Shiping Zhang, Wenchang Liu, Hongchao Zhang, Hongwei Lin, Mutian Sun
June 10, 2024 (v1)
Subject: Materials
Keywords: asphalt binder, fuel corrosion, microscopic morphology, physical component, rheological
Vehicle fuel leaks can adversely affect the performance of asphalt pavements. To study the mechanisms of fuel corrosion damage in asphalt, four asphalt binders were selected in this study, and the evolution of their rheological and microscopic properties was investigated. Fuel corrosion caused continuous mass loss in asphalt binders. Base asphalt lost more than 50% of its mass after 24 h of fuel corrosion, while modified asphalts had better resistance. According to dynamic shear rheometer tests and multiple stress creep recovery tests, modifiers improved the high-temperature rheological properties of these asphalt binders. As the degree of fuel corrosion deepened, the indexes characterizing the high-temperature performance deteriorated. Rubber-modified asphalt showed the best resistance to high-temperature deformation, while the performance of LDPE-modified asphalt was more stable. In contrast, fuel corrosion improved the resistance of asphalt binders to low-temperature cracking to som... [more]
Integration of Carbon Dioxide Removal (CDR) Technology and Artificial Intelligence (AI) in Energy System Optimization
Guanglei Li, Tengqi Luo, Ran Liu, Chenchen Song, Congyu Zhao, Shouyuan Wu, Zhengguang Liu
June 10, 2024 (v1)
Subject: Environment
Keywords: 3E analysis, AI-CDR, climate change, low carbon, sustainable development
In response to the urgent need to address climate change and reduce carbon emissions, there has been a growing interest in innovative approaches that integrate AI and CDR technology. This article provides a comprehensive review of the current state of research in this field and aims to highlight its potential implications with a clear focus on the integration of AI and CDR. Specifically, this paper outlines four main approaches for integrating AI and CDR: accurate carbon emissions assessment, optimized energy system configuration, real-time monitoring and scheduling of CDR facilities, and mutual benefits with mechanisms. By leveraging AI, researchers can demonstrate the positive impact of AI and CDR integration on the environment, economy, and energy efficiency. This paper also offers insights into future research directions and areas of focus to improve efficiency, reduce environmental impact, and enhance economic viability in the integration of AI and CDR technology. It suggests impr... [more]
Method of Analyzing Technological Data in Metric Space in the Context of Industry 4.0
Karolina Czerwińska, Andrzej Pacana
June 10, 2024 (v1)
Keywords: 3 × 3 matrix, BOST survey, Industry 4.0, mechanical engineering, process improvement, quality 4.0, statistical analysis
The purpose of this article was to develop a method of analyzing the manufacturing process with variables indicating product competitiveness and technological capabilities in metric space as a cognitive source. The presented method will facilitate the identification of key development factors within the manufacturing processes that have the greatest impact on the adaptation of the manufacturing enterprise to Industry 4.0. The presented method of manufacturing process analysis integrates a number of tools (SMART method, brainstorming, BOST analysis, 3 × 3 metrics) that enable the implementation of statistical analysis. The model developed makes it possible to apply known mathematical methods in areas new to them (adaptation in the manufacturing area), which makes it possible to use scientific information in a new way. The versatility of the method allows it to be used in manufacturing companies to identify critical factors in manufacturing processes. A test of the developed method was c... [more]
APSO-SL: An Adaptive Particle Swarm Optimization with State-Based Learning Strategy
Mingqiang Gao, Xu Yang
June 10, 2024 (v1)
Subject: Optimization
Keywords: adaptive, complex optimization, particle swarm optimization (PSO), state-based
Particle swarm optimization (PSO) has been extensively used to solve practical engineering problems, due to its efficient performance. Although PSO is simple and efficient, it still has the problem of premature convergence. In order to address this shortcoming, an adaptive particle swarm optimization with state-based learning strategy (APSO-SL) is put forward. In APSO-SL, the population distribution evaluation mechanism (PDEM) is used to evaluate the state of the whole population. In contrast to using iterations to just the population state, using the population spatial distribution is more intuitive and accurate. In PDEM, the population center position and best position for calculation are used for calculation, greatly reducing the algorithm’s computational complexity. In addition, an adaptive learning strategy (ALS) has been proposed to avoid the whole population’s premature convergence. In ALS, different learning strategies are adopted according to the population state to ensure the... [more]
An Optimal Model for Determination Shut-In Time Post-Hydraulic Fracturing of Shale Gas Wells: Model, Validation, and Application
Jianmin Li, Gang Tian, Xi Chen, Bobo Xie, Xin Zhang, Jinchi Teng, Zhihong Zhao, Haozeng Jin
June 10, 2024 (v1)
Keywords: flowback, hydraulic fracturing, self-imbibition, shale, shut-in time
The global shale gas resources are huge and have good development prospects, but shale is mainly composed of nanoscale pores, which have the characteristics of low porosity and low permeability. Horizontal drilling and volume fracturing techniques have become the effective means for developing the shale reservoirs. However, a large amount of mining data indicate that the fracturing fluid trapped in the reservoir will inevitably cause hydration interaction between water and rock. On the one hand, the intrusion of fracturing fluid into the formation causes cracks to expand, which is conducive to the formation of complex fracture networks; on the other hand, the intrusion of fracturing fluid into the formation causes the volume expansion of clay minerals, resulting in liquid-phase trap damage. At present, the determination of well closure time is mainly based on experience without theoretical guidance. Therefore, how to effectively play the positive role of shale hydration while minimizin... [more]
Correlations between a Friabilin Content Indicator and Selected Physicochemical and Mechanical Properties of Wheat Grain for Processing Suitability Assessment
Zdzisław Kaliniewicz, Agnieszka Markowska-Mendik, Małgorzata Warechowska, Seweryn Lipiński, Sebastian Gasparis
June 10, 2024 (v1)
Keywords: friabilin content, image analysis, puroindoline, seed properties, wheat grain
A new approach to determining the friabilin content of wheat grain was proposed. Electropherograms were taken, and the intensity of the friabilin bands was compared in the analyzed wheat cultivars and the cv. Chinese Spring. The friabilin content indicator was calculated in the grain of 17 common wheat cultivars, which differed mostly in their crude protein content and hardness index (HI). The basic properties of the kernels were measured in each wheat cultivar, and the correlations between the measured parameters and the friabilin content indicator were determined. In the analyzed wheat cultivars, the friabilin content indicator ranged from around 0.21 to around 0.77. This indicator was significantly correlated with the kernel length, thickness, mass, vitreousness, HI, and rupture force. The strongest correlation was observed between the friabilin content indicator and kernel length. An increase in the mean kernel length from around 5.4 mm to around 8.0 mm decreased the friabilin cont... [more]
Comprehensive Assessment and Empirical Research on Green and Low-Carbon Technologies in the Steel Industry
Xinyue Yang, Hao Wang, Yueqing Gu, Wenjie Liu, Chongchao Pan
June 10, 2024 (v1)
Keywords: energy-saving technologies for the steel industry, entropy weight method-grey correlation analysis-TOPSIS method, indicator system assessment, Latin hypercube sampling
The iron and steel industry is the leading industry supporting China’s industrial sector. Currently, there is less assessment work on green and low-carbon technologies for the iron and steel industry. This study clarifies the overall strategy of technology assessment by researching the relevant theories and methods of technology assessment. The study further establishes a scientific and reasonable comprehensive assessment index system of green and low-carbon technologies for the iron and steel industry from the aspects of technology index, economy and promotion, and application, including factors such as 11 indexes, the amount of energy saving, carbon dioxide emission reduction, and the resource recovery rate by utilising analytical and comprehensive methods and combining with the characteristics of the technologies. By analysing and comparing the advantages and disadvantages of the commonly used assessment methods, the entropy weighting method, grey correlation analysis method, and TO... [more]
Gas-Liquid Hydrodynamics during Liquid Displacement by Gas in Up-Hill Pipeline
Huishu Liu, Jianhui Chen, Jiali Tao, Na Li, Jimiao Duan, Yan Chen
June 10, 2024 (v1)
Keywords: gas carrying oil flow, liquid accumulation, mobile pipeline, up-hill pipeline
Mobile pipelines are the most efficient and reliable way to transport large quantities of oil over long distances in warfare, rescue and disaster relief. The oil in the pipe must be discharged and recovered when the oil transfer task is completed, usually via gas cap evacuation. Gas cap evacuation is the main method to evacuate mobile pipelines. During evacuation, due to the influence of topography, working conditions and gravitational forces, the oil in an up-hill pipeline is gradually deposited in the low-lying part of the pipeline to form a liquid, resulting in the incomplete emptying of the pipeline which directly affects the recovery efficiency of the pipeline. Focusing on the analysis of the gas carrying oil flow process in an up-hill pipeline during the evacuation of gas displacing oil in the mobile pipeline, the tail and head of the liquid accumulation were analyzed, and the liquid accumulation flow model was established based on the gas−liquid two-phase stratified flow theory.... [more]
Use of Thermodynamically Consistent Phase Equilibrium Data to Obtain a Generalized Padé-Type Model for the Henry’s Constants of Gases in Ionic Liquids
Claudio A. Faúndez, Luis A. Forero, José O. Valderrama
June 10, 2024 (v1)
Subject: Materials
Keywords: Henry’s constant, ionic liquids, Padé approximants, solubility, thermodynamic consistency
A generalized Padé-type expression is proposed for Henry’s constant of gases in ionic liquids. The constants are determined using an equation of state, and generalized expressions for the Henry’s constants of the gases in the ionic liquids are proposed. The solute gases included in the study were oxygen, hydrogen, and carbon monoxide in three solvent ionic liquids ([MDEA][Cl], [Bmim][PF6], and [Hmim][TF2N]). The Valderrama−Patel−Teja equation of state with the mixing rules of Kwak and Mansoori are employed to correlate the solubility data, to examine the thermodynamic consistency of the experimental data, and to determine the fugacity (fi) for each concentration (xi) of the solute gas in the liquid phase. From these data, the fugacity coefficients (fiL/xi) are determined to obtain Henry´s constant as Hi = lim(fiL/xi) when xi→0. The calculated Henry’s constants are correlated in terms of the temperature and acentric factor of the gases to finally obtain a generalized expression for Henr... [more]
Prevention of Blowout Tests in Large-Diameter Boreholes with Soundless Chemical Demolition Agents and Fracturing Characteristics of Hard Sandstones
Junjie Wu, Zhuo Dong, Ruifu Yuan, Shuaishuai Xie, Junhao Deng
June 10, 2024 (v1)
Subject: Other
Keywords: expansion properties, fracture expansion, internal cooling blowout prevention methods, large-diameter boreholes, soundless chemical demolition agents
Increasing the diameter of the drillhole can facilitate drillhole breakage using soundless chemical demolition agents, but it is prone to cause drillhole blowout, resulting in crushing failure. This paper conducted a blowhole prevention test on a large borehole using the internal insertion cooling pipe method (ICBPM) to test the expansion pressure of cooling pipes with different diameters. During this test, a fracture occurred in a hole with a 75 mm inner diameter in the rectangular sandstone specimens with high strength. It was found that utilizing the ICBPM can effectively hinder the development of blowholes. Expansion and blowhole prevention are optimized with a 0.14 mass ratio of the cooling water to demolition agent and a maximum expansion stress of 49.0 MPa. The guiding effect of the minimum resistance line is significant. In repeated tests, all fissures are distributed in a Y-shape on the free surface where the minimum resistance line is located. The acoustic emission signals fr... [more]
Experimental Research on Deep Silicon Removal in Spent SCR Catalysts
Weihong Wu, Li Wang, You Zhang, Zhesheng Hua, Hao Song, Shaojun Liu, Sihui Song, Dingzhen Wang, Xiang Gao
June 10, 2024 (v1)
Subject: Materials
Keywords: alkali leaching, hydrofluoric acid, silicon removal, spent SCR catalyst, TiO2
In this research, hydrofluoric acid (HF) was used as a leaching agent to remove silicon impurities from titanium dioxide powder regenerated from a spent SCR catalyst. Further, the effects of HF concentration, liquid−solid ratio, leaching temperature, and leaching time on the leaching rate of regenerated titanium dioxide powder were investigated. The results revealed that the leaching rate of silicon in alkali-leached samples could reach 99.47% under the following conditions: 4% HF concentration, a leaching temperature of 50 °C, and a liquid−solid ratio of 5:1. When compared under identical experimental conditions, the silicon leaching rate in the alkali leached sample using HF surpassed that of the spent SCR catalyst. This suggests that high-temperature alkali leaching led to the degradation of the catalyst and the glass fiber within it, rendering this process more favorable for silicon leaching.
Bayesian Fusion of Degradation and Failure Time Data for Reliability Assessment of Industrial Equipment Considering Individual Differences
Guo-Zhong Fu, Xian Zhang, Wei Li, Junyu Guo
June 10, 2024 (v1)
Keywords: Bayesian method, degradation and failure time data, information fusion, random effects, Wiener process
In the field of industrial equipment reliability assessment, dependency on either degradation or failure time data is common. However, practical applications often reveal that single-type reliability data for certain industrial equipment are insufficient for a comprehensive assessment. This paper introduces a Bayesian-fusion-based methodology to enhance the reliability assessment of industrial equipment. Operating within the hierarchical Bayesian framework, the method innovatively combines the Wiener process with available degradation and failure time data. It further integrates a random effects model to capture individual differences among equipment units. The robustness and applicability of this proposed method are substantiated through an in-depth case study analysis.
The Use of the Autotrophic Culture of Arthrospira platensis for CO2 Fixation from Biogas Combustion
Marcin Dębowski, Marcin Zieliński, Alona Vdovychenko, Joanna Kazimierowicz
June 7, 2024 (v1)
Subject: Environment
Keywords: Arthrospira platensis, biogas, Carbon Dioxide, cyanobacteria biomass, exhaust gases, vertical photobioreactor
The increased concentration of CO2 in the atmosphere has a strong impact on global warming. Therefore, efficient technologies must be used to reduce CO2 emissions. One of the methods is the biofixation of CO2 by microalgae and cyanobacteria. This is now a widely described technology that can improve the economics of biomass production and reduce CO2 emissions. There are no reports on the possibility of using it to clean exhaust gases from biogas combustion. The aim of the research was to determine the possibility of using Arthrospira platensis cultures to remove CO2 from biogas combustion. The efficiency of biomass production and the effectiveness of biological CO2 fixation were evaluated. The use of exhaust gases led to a more efficient increase in cyanobacterial biomass. The growth rate in the exponential phase was 209 ± 17 mgVS/L·day, allowing a biomass concentration of 2040 ± 49 mgVS/L. However, the use of exhaust gases led to a decrease in the pH of the culture medium and a rapid... [more]
A Multi-Constraint Planning Approach for Offshore Test Tasks for an Intelligent Technology Test Ship
Yongzheng Li, Jian Chen, Xiaofang Luo, Xu Bai
June 7, 2024 (v1)
Keywords: grouping genetic algorithm, hierarchical task planning, intelligent technology test ship, offshore test task
A hierarchical population task planning method is presented to enhance the test efficiency and reliability of intelligent technology test ships under various tasks and complex limitations. Firstly, a mathematical model of the vehicle path problem for multi-voyage vessel testing is developed, which aims to minimize the ship’s fixed and fuel costs, taking into account the energy and space constraints of an intelligent technology test vessel, as well as practical factors such as the dependencies and temporal relationships between test tasks. Second, to fairly minimize constraint complexity in the planning process, an offshore test task planning architecture based on the concept of hierarchical population is explored and built. This architecture separates task planning into four levels and allocates the tasks to distinct populations. Using this information, a grouping genetic algorithm is suggested based on the characteristics of the population. This algorithm uses a unique coding method t... [more]
Multi-Objective Dynamic Reconstruction of Distributed Energy Distribution Networks Based on Stochastic Probability Models and Optimized Beetle Antennae Search
Xin Yan, Yiming Luo, Naiwei Tu, Peigen Tian, Xi Xiao
June 7, 2024 (v1)
Keywords: beetle antennae search algorithm, distribution network optimization, multi-objective optimization, simulated annealing algorithm
In the dynamic optimization problem of the distribution network, a dynamic reconstruction method based on a stochastic probability model and optimized beetle antennae search is proposed. By implementing dynamic reconstruction of distributed energy distribution networks, the dynamic regulation and optimization capabilities of the distribution network can be improved. In this study, a random probability model is used to describe the uncertainty in the power grid. The beetle antennae search is used for dynamic multi-objective optimization. The performance of the beetle antennae search is improved by combining it with the simulated annealing algorithm. According to the results, the optimization success rate of the model was 98.7%. Compared with the discrete binary particle swarm optimization algorithm and bacterial foraging optimization algorithm, it was 9.3% and 26.1% faster, respectively. For practical applications, this model could effectively reduce power grid transmission losses, with... [more]
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