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Records Added in March 2023
Records added in March 2023
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Showing records 12869 to 12893 of 12968. [First] Page: 1 512 513 514 515 516 517 518 519 Last
Design of Intelligent Solar PV Power Generation Forecasting Mechanism Combined with Weather Information under Lack of Real-Time Power Generation Data
Rong-Jong Wai, Pin-Xian Lai
March 1, 2023 (v1)
Keywords: data fitting, deep neural network (DNN), long short-term memory neural network (LSTM), solar photovoltaic (PV), solar PV power generation forecast
In order to reduce the cost of data transmission, the meter data management system (MDMS) of the power operator usually delays time to obtain the power generation information of a solar photovoltaic (PV) power generation system. Although this approach solves the problem of data transmission cost, it brings more challenges to the solar PV power generation forecast. Because power operators usually need real-time solar PV power generation as a basis for the power dispatch, but considering the cost of communication, they cannot always provide corresponding historical power generation data in real time. In this study, an intelligent solar PV power generation forecasting mechanism combined with weather information is designed to cope with the issue of the absence of real-time power generation data. Firstly, the Pearson correlation coefficient analysis is used to find major factors with a high correlation in relation to solar PV power generation to reduce the computational burden of data fitt... [more]
Numerical and Experimental Analysis of Heat Flow at Window-to-Wall Interface
Marta Pomada, Janina Adamus, Artur Boruszewski
March 1, 2023 (v1)
Keywords: energy conservation, FEM, heat exchange modelling, heat flow, heat transmittance coefficient, numerical calculation, thermal bridge, window-to-wall interface
External walls have a great influence on the thermal and humidity conditions in buildings as well as on the possibility of reducing energy consumption. While the structural and material aspects of walls and windows are well known, obtaining a tight connection to reduce thermal bridges between the window and walls still poses a significant problem. Therefore, a new window installation system proposed by the authors, eliminating linear and point thermal bridges at the window-to-wall interface, opens a pathway for lowering energy consumption in buildings and increasing thermal comfort and thermal efficiency. To prove the effectiveness of this system, numerical and experimental analyses of heat flow through an outer wall with a window were carried out. The numerical analyses were performed using the TRISCO software package. It was shown that the proposed solution eliminated the occurrence of linear thermal bridges at the window-to-wall interface (a linear heat transmittance coefficient Ψ ≈... [more]
Design of an MPPT Technique for the Indirect Measurement of the Open-Circuit Voltage Applied to Thermoelectric Generators
Ricardo Marroquín-Arreola, Jinmi Lezama, Héctor Ricardo Hernández-De León, Julio César Martínez-Romo, José Antonio Hoyo-Montaño, Jorge Luis Camas-Anzueto, Elías Neftalí Escobar-Gómez, Jorge Evaristo Conde-Díaz, Mario Ponce-Silva, Ildeberto Santos-Ruiz
March 1, 2023 (v1)
Keywords: DC–DC converter, fuzzy logic, indirect measurement, MPPT, open-circuit voltage, thermoelectric generators
This paper presents the design of a maximum power point-tracking (MPPT) technique for DC−DC converters that are used in energy-harvesting systems based on thermoelectric generators. This technique is based on the analysis of the characteristics of the converter to measure the open-circuit voltage indirectly. The main contribution of this article is that the algorithm measures the voltage at the maximum power point without the need to disconnect the source of the circuit, as happens when the fractional open-circuit voltage (FOCV) technique is used. The algorithm is based on a predetermined initial duty cycle, which is applied to the circuit, and the input voltage and input current are read. With these values, the open-circuit voltage and short-circuit current are calculated with equations obtained from the circuit. Then, it calculates the duty cycle at the maximum power point and applies it to the circuit. If this duty cycle does not obtain the maximum power from the circuit, the algori... [more]
Comparing the Energy System of a Facility with Uncertainty about Future Internal Carbon Prices and Energy Carrier Costs Using Deterministic Optimisation and Two-Stage Stochastic Programming
Oliver Gregor Gorbach, Jessica Thomsen
March 1, 2023 (v1)
Subject: Environment
Keywords: decarbonisation, deterministic optimisation, energy system optimisation, internal carbon pricing, optimisation results’ robustness, proxy prices, two-stage stochastic programming
For an organisation, one aspect on the path to a decarbonised future is the cost-optimal decarbonisation of their facilities’ energy systems. One method to guide the decarbonisation is internal carbon pricing. However, the design process of decarbonisation pathways, guided by internal carbon prices, can be challenging, since the energy system environment consists of many uncertainties. Despite the numerous uncertainties and existing methods to address uncertainties during the optimisation process, the optimisation of a facility’s energy system is often done by assuming perfect knowledge of all relevant input parameters (deterministic optimisation). Since real-world decisions can never be based on perfect knowledge and certain decisions might lead to path dependencies, it is important to consider the robustness of a solution in the context of developments that vary from the assumed scenarios. So far, no academic work has analysed the potential benefits of using an optimisation method th... [more]
Design of a Non-Linear Observer for SOC of Lithium-Ion Battery Based on Neural Network
Ning Chen, Xu Zhao, Jiayao Chen, Xiaodong Xu, Peng Zhang, Weihua Gui
March 1, 2023 (v1)
Keywords: electrochemical impedance model, fraction order, lithium-ion batteries, non-linear observer based on RBF neural network, state of charge
This paper presents a method for use in estimating the state of charge (SOC) of lithium-ion batteries which is based on an electrochemical impedance equivalent circuit model with a controlled source. Considering that the open-circuit voltage of a battery varies with the SOC, an equivalent circuit model with a controlled source is proposed which the voltage source and current source interact with each other. On this basis, the radial basis function (RBF) neural network is adopted to estimate the uncertainty in the battery model online, and a non-linear observer based on the radial basis function of the RBF neural network is designed to estimate the SOC of batteries. It is proved that the SOC estimation error is ultimately bounded by Lyapunov stability analysis, and the error bound can be arbitrarily small. The high accuracy and validity of the non-linear observer based on the RBF neural network in SOC estimation are verified with experimental simulation results. The SOC estimation resul... [more]
Internet of Things Approaches for Monitoring and Control of Smart Greenhouses in Industry 4.0
Chiara Bersani, Carmelina Ruggiero, Roberto Sacile, Abdellatif Soussi, Enrico Zero
March 1, 2023 (v1)
Keywords: Industry 4.0, Internet of Things (IoT), smart greenhouse
In recent decades, climate change and a shortage of resources have brought about the need for technology in agriculture. Farmers have been forced to use information and innovation in communication in order to enhance production efficiency and crop resilience. Systems engineering and information infrastructure based on the Internet of Things (IoT) are the main novel approaches that have generated growing interest. In agriculture, IoT solutions according to the challenges for Industry 4.0 can be applied to greenhouses. Greenhouses are protected environments in which best plant growth can be achieved. IoT for smart greenhouses relates to sensors, devices, and information and communication infrastructure for real-time monitoring and data collection and processing, in order to efficiently control indoor parameters such as exposure to light, ventilation, humidity, temperature, and carbon dioxide level. This paper presents the current state of the art in the IoT-based applications to smart gr... [more]
Sensitivity Analysis of High-Pressure Methanol—Steam Reformer Using the Condensation Enthalpy of Water Vapor
Dongjin Yu, Byoungjae Kim, Hyunjin Ji, Sangseok Yu
March 1, 2023 (v1)
Subject: Materials
Keywords: condensation heat transfer, double pipe heat exchanger, methanol–steam-reforming, phase change materials, sensitivity analyses
A methanol−steam reformer (MSR) can safely provide hydrogen-rich fuel for a fuel cell system. Since the operating temperature of an MSR is relatively low, convective heat transfer is typically used to provide thermal energy to the endothermic reactions in the MSR. In this study, the use of phase change heat transfer to provide thermal energy to the endothermic reactions was investigated, which enhanced the temperature uniformity longitudinally along the MSR. ANSYS Fluent® software was used to investigate the performance of the reforming reactions. A comparative analysis using sensible heat and latent heat as the heat supply sources was performed. Using latent heat as a heat source achieved a lesser temperature drop than sensible heat that was under 5.29 K in the outer pipe. Moreover, a sensitivity analysis of methanol−steam-reforming reactions that use phase change heat transfer in terms of the carbon ratio, gas hourly velocity (for the inner and outer pipes of the MSR), inlet temperat... [more]
Integrated Solar Thermal Systems
Francesco Calise, Massimo Dentice d’Accadia, Maria Vicidomini
March 1, 2023 (v1)
The renewable energy technologies attracted 70% global energy investment in 2021, but the global CO2 emission is increased by 1 [...]
Iron Recovery Technology of Red Mud—A review
Hao Kong, Tuo Zhou, Xinhua Yang, Yingli Gong, Man Zhang, Hairui Yang
March 1, 2023 (v1)
Subject: Environment
Keywords: fluidized bed reduction, iron recovery, pyrometallurgical method, red mud
RM (red mud), which comes from the Bayer process, has a huge annual output and is harmful to the environment. Because of the high iron content in RM, the process of iron recovery from RM can reduce the amount of RM well and create economic benefits, so it is a promising process. The paper focuses on the review on the research of the iron recovery method from RM, which includes the physical recovery method, chemical recovery method and emerging recovery method. By comparing the advantages and disadvantages of these processes, it is concluded that the fluidized bed reduction is a promising process that can be rapidly applied to the industry, but it still needs more investigation to overcome the current technical difficulties in the near future.
Swiveling Magnetization for Anisotropic Magnets for Variable Flux Spoke-Type Permanent Magnet Motor Applied to Electric Vehicles
Yin-Hui Lee, Min-Fu Hsieh
March 1, 2023 (v1)
Keywords: electric vehicles, magnetization, memory machine, permanent magnet synchronous motors, variable-flux motor
This paper investigates the application of anisotropic low-coercive force (LCF) magnets to a novel variable-flux spoke-type permanent magnet synchronous motor (VFS-PMSM) for electrical vehicles with a wide speed range. In the VFS-PMSM, flux is regulated by swiveling the magnetization of the anisotropic LCF magnets instead of directly magnetizing or demagnetizing them. The previously proposed VFS-PMSM uses only isotropic LCF magnets for easily swiveling the magnetic pole direction, resulting in lower torque density. The challenge thus lies in the feasibility to swivel the magnetic pole direction of the anisotropic LCF magnet, and the impact of the different magnetization strengths of the anisotropic magnets on the motor performance. This paper first studies the feasibility to swivel the magnetization direction of anisotropic LCF magnets through experiments. It is confirmed that the magnetization direction can be successfully swiveled by 90 degrees with a reduced external magnetizing fie... [more]
Permanent Magnet Generator for a Gearless Backyard Wind Turbine
Sebastian Różowicz, Zbigniew Goryca, Antoni Różowicz
March 1, 2023 (v1)
Keywords: cogging torque minimization, domestic wind turbine, magnet machines, rotational speed, steel magnetisation
This paper presents the design of a permanent magnet generator for a gearless backyard wind turbine. The magnetisation characteristics of the rotor steel and the stator at different field strength ranges were considered at the design stage and mathematically described using a model in Matlab. The detailed calculations and the design of the planar model were carried out using FEMM software. The high-quality results obtained from the calculations shown in the paper made it possible to make a real model of the generator. This paper presents views of the stator package, the rotor, the entire generator and selected test results. The parameter of this turbine that distinguishes it from a wide range of manufactured generators is its low, non-standard rotational speed and low breakaway torque, which allows the power plant to start in winds of approximately 2 m/s. Other advantages of this generator is its low weight resulting from the use of a light rotor and light alloys for the generator hous... [more]
Comparative Analysis of Overheating Risk for Typical Dwellings and Passivhaus in the UK
Jihoon Jang, Sukumar Natarajan, Joosang Lee, Seung-Bok Leigh
March 1, 2023 (v1)
Subject: Environment
Keywords: climate change, global warming, overheating risk, Passivhaus, thermal comfort
There is growing concern that airtight and well-insulated buildings designed to limit heat loss in temperate and cold climates could unintentionally elevate the risk of overheating in summers. Existing literature primarily uses dynamic simulation to investigate this problem due to the difficulty of obtaining large-scale in-performance data. To address this gap, we undertake a meta-analysis of large-scale indoor air temperature data for 195 UK dwellings, as a study of performance in a temperate climate. Of these, 113 are baseline (i.e., typical existing dwellings) and the rest designed to the high-performance Passivhaus standard. Using both Passivhaus and the well-known CIBSE TM59 overheating standards, this study found that there were few overheated cases for any building type. However, the average summer nighttime temperature of Passivhaus bedrooms was 1.6 °C higher than baseline, with 20 out of 31 measured bedrooms exceeding the overheating criterion, and the average overheating hour... [more]
Optimal Scheduling of Movable Electric Vehicle Loads Using Generation of Charging Event Matrices, Queuing Management, and Genetic Algorithm
Nattavit Piamvilai, Somporn Sirisumrannukul
March 1, 2023 (v1)
Keywords: behavior-based simulation, demand management, electric vehicle, Genetic Algorithm, smart charging
The extensive adoption of electric vehicles (EVs) can introduce negative impacts on electric infrastructure in the form of sporadic and excessive charging demands, line overload, and voltage quality. Because EV loads can be movable around the system and time-dependent due to human daily activities, it is therefore proposed in this research to investigate the spatial effects of EV loads and their impacts on a power system. We developed a behavior-based charging profile simulation for daily load profiles of uncontrolled and controlled charging simulations. To mitigate the impact of increased peak demand, we proposed an optimal scheduling method by genetic algorithm (GA) using charging event matrices and EV queuing management. The charging event matrices are generated by capturing charging events and serve as an input of the GA-based scheduling, which optimally defines available charging slots while maximizing the system load factor while maintaining user satisfaction, depending on the we... [more]
A Numerical Evaluation of Coal Seam Permeability Derived from Borehole Gas Flow Rate
Qingdong Qu, Jingyu Shi, Andy Wilkins
March 1, 2023 (v1)
Keywords: borehole radial flow, gas conductivity coefficient, numerical simulation, outburst, permeability
Coal seam permeability is a critical factor in coal seam gas extraction and gas outburst control. In Australian coal mines, coal seam permeability is normally estimated using a packer test or drill stem test. In contrast, Chinese coal mines generally estimate a parameter called the “gas conductivity coefficient” by measuring natural gas flow rates from an underground borehole drilled through a coal seam. With this method, it has been frequently reported that the permeability of many Chinese coal seams is between 0.0001 mD and 0.01 mD, which is extremely low compared to that of Australian coal seams (1−100 mD). It is therefore natural to wonder how closely the Chinese method measures permeability. Resolving this question will allow knowledge and experience in outburst management to be shared between Australian and Chinese coal mines. This question is investigated by the numerical modelling of gas desorption and flow through a seam of known permeability and by using the model’s borehole... [more]
Study on a Discharge Circuit Prediction Model of High-Voltage Electro-Pulse Boring Based on Bayesian Fusion
Changping Li, Xiaohui Wang, Longchen Duan, Bo Lei
March 1, 2023 (v1)
Keywords: bayes, electro-pulse boring, model fusion, parameter identification, prediction model
It is necessary to develop new drilling and breaking technology for hard rock construction. However, the process of high-voltage electro-pulse (HVEP) rock-breaking is complex, and the selection of electro-pulse boring (EPB) process parameters lacks a theoretical basis. Firstly, the RLC model, TV-RLC model, and TV-CRLC model are established based on the characteristics of the HVEP circuit to predict the EPB dynamic discharge curve. Secondly, the parameters are identified by the Particle Swarm Optimization Genetic Algorithm (PSO-GA). Finally, due to the nonlinear and complex time-varying characteristics of the discharge circuit, the discharge circuit prediction models based on Bayesian fusion and current residual normalization fusion method are proposed, and the optimal weight of these three models is determined. Compared with the single models for EPB current prediction, the average relative error reduction rates based on Bayesian fusion and current residual normalization fusion methods... [more]
Integration of Electromagnetic Geophysics Forward Simulation in Coupled Flow and Geomechanics for Monitoring a Gas Hydrate Deposit Located in the Ulleung Basin, East Sea, Korea
Hyun Chul Yoon, Jihoon Kim, Evan Schankee Um, Joo Yong Lee
March 1, 2023 (v1)
Keywords: coupled flow and geomechanics, depressurization, electromagnetic geophysics, gas hydrate deposits, Ulleung Basin
We investigate the feasibility of electromagnetic (EM) geophysics methods to detect the dissociation of gas hydrate specifically from a gas hydrate deposit located in the Ulleung Basin, East Sea, Korea via an integrated flow-geomechanics-EM geophysics simulation. To this end, coupled flow and geomechanics simulation is first performed with the multiple porosity model employed, where a mixed formulation with the finite volume (FV) and finite element (FE) methods are taken for the flow and geomechanics, respectively. From the saturation and porosity fields obtained from the coupled flow and geomechanics, the electrical conductivity model is established for the EM simulation. Solving the partial differential equation of electrical diffusion which is linearized using the 3D finite element method (FEM), the EM fields are then computed. For numerical experiments, particularly two approaches in the configuration for the EM methods are compared in this contribution: the surface-to-surface and... [more]
Overview of Battery Impedance Modeling Including Detailed State-of-the-Art Cylindrical 18650 Lithium-Ion Battery Cell Comparisons
Julian Estaller, Anton Kersten, Manuel Kuder, Torbjörn Thiringer, Richard Eckerle, Thomas Weyh
March 1, 2023 (v1)
Keywords: 18650, battery, EIS, Li-ion, NMC, Warburg
Electrical models of battery cells are used in simulations to represent batteries’ behavior in various fields of research and development involving battery cells and systems. Electrical equivalent circuit models, either linear or nonlinear, are commonly used for this purpose and are presented in this article. Various commercially available cylindrical, state-of-the-art lithium-ion battery cells, both protected and unprotected, are considered. Their impedance properties, according to four different equivalent circuit models, are measured using electrochemical impedance spectroscopies. Furthermore, the pricing, impedance, specific energy, and C-rate of the chosen battery cells are compared. For example, it is shown that the energy density of modern 18650 cells can vary from a typical value of 200 to about 260 Wh kg−1, whereas the cell price can deviate by a factor of about 3 to 5. Therefore, as a result, this study presents a concise but comprehensive battery parameter library that shoul... [more]
Electromagnetic Torque Fluctuating Properties under Dynamic RISC Fault in Turbogenerators
Yuling He, Minghao Qiu, Xinghua Yuan, Haipeng Wang, Mengya Jiang, Chris Gerada, Shuting Wan
March 1, 2023 (v1)
Keywords: dynamic rotor interturn short circuit (DRISC), electromagnetic torque (EMT), harmonic component, magneto-motive force (MMF), synchronous generator
This paper analyzes the electromagnetic torque (EMT) fluctuation characteristics in synchronous generators under rotor interturn short-circuit (DRISC) fault. The novelty of this paper is that the DRISC fault is proposed based on the intermittent interturn short circuit existing in the actual operation and compared with the static rotor interturn short-circuit (SRISC) fault. In the work, by studying the influence of DRISC with different positions and different short-circuit degrees, the fluctuation characteristic of the EMT is analyzed and verified. The results show that when the DRISC5% fails, the location is in slot 3, the amplitude of first harmonic decreases by 7.2%, second harmonic amplitude increases by 33.4%, third harmonic decreases by 4.3%, and fourth harmonic increases by 26.8%. As the degree increased and positioned away from the large tooth of the DRISC, the overall EMT amplitude and reverse pulse increased, first and third harmonics decreased, and second and fourth harmonic... [more]
A Critical Review of Alkaline Flooding: Mechanism, Hybrid Flooding Methods, Laboratory Work, Pilot Projects, and Field Applications
Abdelaziz L. Khlaifat, Duaa Dakhlallah, Faraz Sufyan
March 1, 2023 (v1)
Subject: Materials
Keywords: alkaline flooding, enhanced oil recovery, interfacial tension, low salinity brine, nanoparticles, polymer, surfactant
Over time, the dependence on oil has increased to meet industrial and domestic needs. Enhanced oil recovery (EOR) techniques in this regard have captured immense growth as EOR is not only used to increase the oil recovery but also to augment the sweep efficiency. Several techniques over the past decades have been used to improve oil recovery with cost-effectiveness. Cost-effective alkaline flooding has been effective for those oil reservoirs with a high total acid number. In this review, the significance of alkaline flooding has been discussed in detail, as well as the features of alkaline flooding in comparison to other modes of flooding. This review entails (1) alkaline flooding, (2) hybrid modes of injection, (3) experimental work, (4) pilot projects, (5) screening criteria, and (6) field applications. The findings of this study can help increase the understanding of alkaline flooding and provide a holistic view of the hybrid modes of flooding.
Low-Cost HEM with Arduino and Zigbee Technologies in the Energy Sector in Colombia
Zurisaddai de la Cruz Severiche Maury, Ana Fernández Vilas, Rebeca P. Díaz Redondo
March 1, 2023 (v1)
Keywords: Arduino, energy consumption at home, HEM, raspberry pi, wireless sensor networks, ZigBee
Since no solutions have been proposed in Colombia that seek to reduce the consumption of electricity at the residential level, this paper describes the design and implementation of a simple prototype of a low-cost home energy management system (HEMS). The objective of this platform is to monitor the energy consumption of typical household devices so that users can access the consumption of each device separately and then establish the strategy that allows them to reduce energy consumption at home. In order to demonstrate that our system is viable, the system has been evaluated by measuring weekly energy consumption with the on-line and off-line HEMS using a test bench with typical household devices in a Sincelejo typical household. The evaluation has shown that with the installation of this HEMS, consumption is reduced by 27%. This shows that it is possible to achieve a good reduction percentage with a low-cost system.
Energy-Model and Life Cycle-Model for Grinding Processes of Limestone Products
Viktoria Mannheim, Weronika Kruszelnicka
March 1, 2023 (v1)
Subject: Environment
Keywords: Bond mill, energy-model, grinding, life cycle assessment, life cycle-model, limestone, particle size distribution, specific grinding work, stirred ball mill
Fine and ultrafine grinding of limestone are frequently used in the pharmaceutical, chemical, construction, food, and cosmetic industries, however, research investigations have not yet been published on the combination of energy and life cycle modeling. Therefore, the first aim of this research work was the examination of main grinding parameters of the limestone particles to determine an empiric energy-model. Dry and wet grinding experiments have been carried out with a Bond mill and a laboratory stirred ball mill. During the grinding processes, the grinding time and the filling ratio have been adjusted. The second goal of this research assessed the resources, emissions and environmental impacts of wet laboratory grinding with the help of life cycle assessment (LCA). The life cycle assessment was completed by applying the GaBi 8.0 (version: 10.5) software and the CML method. As a result of research, the determination of an empiric energy-model allowed to develop an estimated particle... [more]
Effect of Volcanic Events on Hydrocarbon Generation of Lacustrine Organic-Rich Shale: An Example of the Upper Triassic Galedesi Formation in the Hala Lake Depression, South Qilian Basin, China
Jia Wang, Chaobin Zhu, Xianfeng Tan, Long Luo, Nan Jiang, Xuejiao Qu, Xuanbo Gao, Shengyu Li, Long Xiao, Haijun Liu
March 1, 2023 (v1)
Keywords: Galedesi Formation, organic matter, shale, South Qilian Basin, thermal evolution
The thermal evolution process of organic matter is associated with the complete hydrocarbon generation and expulsion process in shale, however, the thermal evolution of organic matter is a long process and cannot be realized without experimental simulations. Although several scholars have substantially studied the thermal evolution of organic matter, it remains a challenging and much debated issue in the studies of organic geochemistry. Volcanic events are crucial in the enrichment of organic matter, and appropriate heating accelerates the thermal evolution of organic matter. However, how strong-rock baking restricts the evolution of organic matter in shale has not been specifically studied. The South Qilian Basin in China is a typical superimposed basin where complex tectonic movements have induced multiple volcanic events, which makes it a favorable location to perform the aforementioned research. This study used the Galedesi Formation shale in the Hala Lake Depression of the South Q... [more]
Water Weakening of Artificially Fractured Chalk, Fracture Modification and Mineral Precipitation during Water Injection—An Experimental Study
Tine Vigdel Bredal, Reidar Inge Korsnes, Udo Zimmermann, Mona Wetrhus Minde, Merete Vadla Madland
March 1, 2023 (v1)
Keywords: artificial fracture, fracture modification, geo-mechanical compaction, improved oil recovery (IOR), mineral dissolution, mineral precipitation, water-weakening effect
This experiment was designed to study the water-weakening effect of artificially fractured chalk caused by the injection of different compositions of brines under reservoir conditions replicating giant hydrocarbon reservoirs at the Norwegian Continental Shelf (NCS). NaCl, synthetic seawater (SSW), and MgCl2, with same ionic strength, were used to flood triaxial cell tests for approximately two months. The chalk cores used in this experiment originate from the Mons basin, close to Obourg, Belgium (Saint Vast Formation, Upper Cretaceous). Three artificially fractured chalk cores had a drilled central hole parallel to the flooding direction to imitate fractured chalk with an aperture of 2.25 (±0.05) mm. Two additional unfractured cores from the same sample set were tested for comparison. The unfractured samples exposed a more rapid onset of the water-weakening effect than the artificially fractured samples, when surface active ions such as Ca2+, Mg2+ and SO42− were introduced. This instan... [more]
Decentralized Coordination Dispatch Model Based on Chaotic Mutation Harris Hawks Optimization Algorithm
Yuanyuan Wang, Zexu Yu, Zhenhai Dou, Mengmeng Qiao, Ye Zhao, Ruishuo Xie, Lianxin Liu
March 1, 2023 (v1)
Subject: Optimization
Keywords: analytical target cascading, DC tie-line, decentralized coordinated dispatch, Harris hawks optimization, Optimization, swarm intelligence algorithm
Aiming at the economic dispatch problem for an interconnected system with wind power integration, and in order to realize the goals of system economy and improvement of the cross-regional consumption level of wind energy, a decentralized coordination dispatch model is established in this paper. In this model, a DC tie-line is cut by the branch cutting method and used as a coupling variable. A virtual upper-level dispatch center is established, and the economic dispatch problem to be solved is decomposed into a master optimization problem for the upper-level dispatch center and subsidiary optimization problems for the lower-level dispatch centers. For solving this model, an improved Harris hawks optimization (HHO) algorithm called the chaotic mutation Harris hawks optimization (CMHHO) algorithm is proposed. In the CMHHO algorithm, tent mapping and the “DE/pbad-to-pbest/1” strategy are introduced, and a new nonlinear escape energy factor adjustment is proposed. Through an algorithm compa... [more]
Experimental and Mathematical Investigation of the Thermophysical Properties of Coal−Water Slurries Based on Lignite
Konstantin Osintsev, Sergei Aliukov
March 1, 2023 (v1)
Subject: Materials
Keywords: boiler furnace, combustion, hydraulic transport, organic fuel, step functions
The burning of organic fuel is one of the main factors influencing the greenhouse effect on the climate of the planet. The article examines the influence of the properties of lignite and coal−water slurries on the amount of carbon dioxide molecules formed as a result of chemical reactions. The authors give an overview of the results of other researchers in recent years and give the results of their research and development in the field of burning lignite and coal−water slurries in industrial recycling plants. The authors present the results of experimental studies of the thermophysical properties of coal and a coal−water mixture. The results obtained were compared with the results of calculations using a mathematical model and the results of numerical modeling in Ansys. New methods of approximation of step functions were used for the mathematical model. These methods make it possible to reduce errors in the approximation of the functions of the thermal properties of coal. The proposed... [more]
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