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Records added in February 2023
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Showing records 3151 to 3175 of 12650. [First] Page: 123 124 125 126 127 128 129 130 131 Last
Intentions to Use Prosumer Photovoltaic Technology in Poland
Anna Mularczyk, Iwona Zdonek, Marian Turek, Stanisław Tokarski
February 27, 2023 (v1)
Keywords: consumer attitude, purchase intention, solar photovoltaic technology, structural equation modeling
The energy transition that Poland is facing directs investment and research efforts towards renewable energy sources (RES). This topic has gained importance due to environmental and climate reasons and, recently, the ongoing military conflict between Russia and Ukraine. All these issues affect the availability and prices of fossil fuels, on which electricity production in Poland currently depends. Therefore, to change the current state of affairs, it is necessary to turn to other sources of energy, including RES. Particularly high hopes are placed on prosumer photovoltaic (PV) technology. Therefore, it becomes important to study the factors of acceptance of this technology among the Polish society. The aim of this paper is to answer two research questions: (1) what factors shape intentions to invest in prosumer PV technology and (2) what factors shape attitudes towards this technology. The research was conducted using a questionnaire on a sample of 430 people. Data analysis was perform... [more]
Study on Apparent Permeability Model for Gas Transport in Shale Inorganic Nanopores
Shuda Zhao, Hongji Liu, Enyuan Jiang, Nan Zhao, Chaohua Guo, Baojun Bai
February 27, 2023 (v1)
Keywords: apparent permeability, inorganic nanopore, irreducible water, Knudsen number correction, percolation mechanism, shale gas
Inorganic nanopores occurring in the shale matrix have strong hydrophilicity and irreducible water (IW) film can be formed on the inner surface of the pores making gas flow mechanisms in the pores more complex. In this paper, the existence of irreducible water (IW) in inorganic pores is considered, and, based on the Knudsen number (Kn) correction in shale pores, a shale gas apparent permeability model of inorganic nano-pores is established. The effect of the Kn correction on the apparent permeability, the ratio of flow with pore radius and the effect of IW on the apparent permeability are assessed. The main conclusions are as follows: (1) at low pressure (less than 10 MPa) and for medium pore size (pore radius range of 10 nm−60 nm), the effect of the Kn correction should be considered; (2) considering the effect of the Kn correction, bulk phase transport replaces surface diffusion more slowly; considering the existence of IW, bulk phase transport replaces surface diffusion more slowly;... [more]
Numerical Simulation on Borehole Instability Based on Disturbance State Concept
Daobing Wang, Zhan Qu, Zongxiao Ren, Qinglin Shan, Bo Yu, Yanjun Zhang, Wei Zhang
February 27, 2023 (v1)
Keywords: borehole stability, disturbance state concept, elastic–plastic deformation, finite element method, numerical simulation
This paper carries out a study on the numerical simulation of borehole instability based on the disturbance state concept. By introducing the disturbance damage factor into the classical Mohr−Coulomb yield criterio, we establish a finite element hydro-mechanical coupling model of borehole instability and program the relevant field variable by considering elastic−plastic deformation in borehole instability, the distribution of the damage disturbance area, the variation of porosity and permeability with the disturbance damage factor, etc. Numerical simulation shows that the borehole stability is related to the action time of drilling fluid on the wellbore, stress anisotropy, the internal friction angle of rock, and borehole pressure. A higher horizontal stress difference helps suppress shear instability, and a higher rock internal friction angle enhances shear failure around the borehole along the maximum horizontal principal stress. When considering the effect of the internal friction a... [more]
Transmutation and Breeding Performance Analysis of Molten Chloride Salt Fast Reactor Using a Fuel Management Code with Nodal Expansion Method
Kaicheng Yu, Maosong Cheng, Xiandi Zuo, Zhimin Dai
February 27, 2023 (v1)
Subject: Materials
Keywords: fuel management, molten salt reactor, NEM method, online refueling and processing, transmutation and breeding
The transmutation of transuranic (TRU) elements produced by pressurized water reactors (PWRs) can effectively reduce their radioactive hazards. The molten chloride salt fast reactor (MCSFR) is a type of liquid-fueled molten salt reactor (MSR) using fuel in the form of molten chloride salts. The MCSFR utilizing a fast neutron spectrum and high actinide fraction is considered to be a potential reactor type for TRU transmutation. An online refueling and reprocessing scenario is the unique feature of liquid-fueled MSRs. On account of this characteristic, a new fuel management code named ThorNEMFM with a nodal expansion method (NEM) was developed and validated with the molten salt breeder reactor (MSBR) and the molten salt fast reactor (MSFR) benchmarks. Then, the transmutation and breeding performances of the MCSFR were simulated and analyzed with the ThorNEMFM code. The MCSFR adopts TRU elements as initial fissile loads and online feeding fissile materials. The results show that the trans... [more]
Historical Buildings Potential to Power Urban Electromobility: State-of-the-Art and Future Challenges for Nearly Zero Energy Buildings (nZEB) Microgrids
Wojciech Cieslik, Filip Szwajca, Sławomir Rosolski, Michał Rutkowski, Katarzyna Pietrzak, Jakub Wójtowicz
February 27, 2023 (v1)
Keywords: conversion of a historical building to nZEB, electric vehicle, energy consumption, real driving conditions, renewable energy generation
The growing need for electric energy is forcing the construction industry to greater integrate energy production systems based on renewable energy sources. The energy ought to be used not only to support functions of the building but also to charge electric vehicles, whose number has been increasing for the last few years. However, implementation of RES (Renewable Energy Sources) systems in already existing buildings is problematic. Basing on an example of a historical building, the article presents the conversion of a facility into a nearly zero-energy building, where energy surplus may be used to charge EVs (Electric Vehicles). Interdisciplinary research describes energy consumption of the EV in real driving conditions, taking into consideration changing weather conditions and an option of energy being produced by buildings operating in an urban agglomeration: it stipulates the time needed to charge the vehicle, depending on the charging We removed dot, according to email in submitti... [more]
Artificial Intelligence-Based Control and Coordination of Multiple PV Inverters for Reactive Power/Voltage Control of Power Distribution Networks
Anis ur Rehman, Muhammad Ali, Sheeraz Iqbal, Aqib Shafiq, Nasim Ullah, Sattam Al Otaibi
February 27, 2023 (v1)
Keywords: multi-agent actor-critic, power distribution network, reinforcement learning, renewable energy sources
The integration of Renewable Energy Resources (RERs) into Power Distribution Networks (PDN) has great significance in addressing power deficiency, economics and environmental concerns. Photovoltaic (PV) technology is one of the most popular RERs, because it is simple to install and has a lot of potential. Moreover, the realization of net metering concepts further attracted consumers to benefit from PVs; however, due to ineffective coordination and control of multiple PV systems, power distribution networks face large voltage deviation. To highlight real-time control, decentralized and distributed control schemes are exploited. In the decentralized scheme, each zone (having multiple PVs) is considered an agent. These agents have zonal control and inter-zonal coordination among them. For the distributed scheme, each PV inverter is viewed as an agent. Each agent coordinates individually with other agents to control the reactive power of the system. Multi-agent actor-critic (MAAC) based fr... [more]
Estimation of Underground MV Network Failure Types by Applying Machine Learning Methods to Indirect Observations
Miguel Louro, Luís Ferreira
February 27, 2023 (v1)
Keywords: cable failure types, classification, Machine Learning, MV cable networks
Electrical utilities performance is measured by various indicators, of which the most important are very dependent on the interruption time after a failure in the network has occurred, such as SAIDI. Therefore, they are constantly looking for new techniques to decrease the fault location and repair times. A possibility to innovate in this field is to estimate the failed network component when a fault occurs. This paper presents the conclusion of an analysis carried out by the authors with the aim to estimate failure types of underground MV networks based on observable indirect variables. The variables needed to carry out the analysis must be available shortly after the failure occurrence, which is facilitated by a smart-grid infrastructure, to allow for a quick estimation. This paper uses the groundwork already carried out by the authors on ambient variables, historical variables, and disturbance recordings to design an estimator to predict between four MV cable network failure types.... [more]
New Class of Power Converter for Performing the Multiple Operations in a Single Converter: Universal Power Converter
Dhananjaya Mudadla, Devendra Potnuru, Raavi Satish, Almoataz Y. Abdelaziz, Adel El-Shahat
February 27, 2023 (v1)
Keywords: AC–AC converter, cyclo-converter, DC–AC converter, DC–DC converter, universal converter
Universal power converters (UPCs) have aroused significant attention in performing multiple operations in a single power converter. Furthermore, they contribute to economic operation and improved system performance. In this work, a new configuration of the universal power converter (UPC) was proposed by using a simple switching arrangement. It can perform different modes of operations, such as AC−DC, DC−DC, DC−AC, AC−AC, and cyclo-converter operations. In DC−DC conversion, the proposed configuration can perform buck mode, boost mode, and buck−boost mode of operations. Moreover, in DC−AC conversion, it gives better total harmonic distortion (THD). The effectiveness of the proposed configuration was verified by an extensive simulation, using MATLAB/Simulink environment. A low-power prototype circuit was designed to test the viability of the proposed circuit configuration and validated with simulation results.
Data-Driven Voltage Prognostic for Solid Oxide Fuel Cell System Based on Deep Learning
Mingfei Li, Jiajian Wu, Zhengpeng Chen, Jiangbo Dong, Zhiping Peng, Kai Xiong, Mumin Rao, Chuangting Chen, Xi Li
February 27, 2023 (v1)
Keywords: encoder–decoder, gated recurrent unit, long short-term memory, recurrent neural network, solid oxide fuel cell, state prediction
A solid oxide fuel cell (SOFC) is an innovative power generation system that is green, efficient, and promising for a wide range of applications. The prediction and evaluation of the operation state of a solid oxide fuel cell system is of great significance for the stable and long-term operation of the power generation system. Prognostics and Health Management (PHM) technology is widely used to perform preventive and predictive maintenance on equipment. Unlike prediction based on the SOFC mechanistic model, the combination of PHM and deep learning has shown wide application prospects. Therefore, this study first obtains an experimental dataset through short-term degradation experiments of a 1 kW SOFC system, and then proposes an encoder-decoder RNN-based SOFC state prediction model. Based on the experimental dataset, the model can accurately predict the voltage variation of the SOFC system. The prediction results of the four different prediction models developed are compared and analyz... [more]
Multivariate Empirical Mode Decomposition and Recurrence Quantification for the Multiscale, Spatiotemporal Analysis of Electricity Demand—A Case Study of Japan
Rémi Delage, Toshihiko Nakata
February 27, 2023 (v1)
Keywords: complex systems, electricity demand, empirical mode decomposition, energy systems, nonlinear analysis, recurrence plot, time series
In the new energy systems’ modeling paradigm with high temporal and spatial resolutions, the complexity of renewable resources and demand dynamics is a major obstacle for the scenario analysis of future energy systems and the design of sustainable solutions. Most advanced models are indeed currently restricted by past temporal energy demand data, improper for the analysis of future systems and often insufficient in terms of quantity or spatial resolution. A deeper understanding on energy demand dynamics is thus necessary to improve energy system models and expand their possibilities. The present study introduces noise-assisted multivariate empirical mode decomposition and recurrence quantification analysis for the study of this problematic variable with a case study of Japan’s electricity demand data per region. These tools are adapted to nonlinear, complex systems’ data and are already applied in a wide range of scientific fields including climate studies. The decomposition of electri... [more]
Intake System Performance Stability as a Function of Flow Throttling
Adam Kozakiewicz, Stanisław Kachel, Michał Frant, Maciej Majcher
February 27, 2023 (v1)
Keywords: Computational Fluid Dynamics, flow modeling, intake vortex, jet engine intake system, unstable engine operation
This paper presents a numerical analysis of the stability of the flow parameters along the intake duct of an aircraft jet turbine engine. This problem has been investigated by many research teams and was included in the literature analysis. The unstable operation of a turbojet intake system can be the consequence of many adverse factors, including an intake vortex. The investigated intake system, due to its low location to the plane of the airport, is highly susceptible to the formation of an intake vortex. The phenomenon of an intake vortex can, in the worst-case scenario, result in the surging of the turbojet, and even engine stalling. This paper presents a developed model of the forward section of an aircraft, complete with its intake duct, and the method of its discretization. The intake-system model and numerical analysis were performed in Ansys Fluent. The flow parameters adopted for numerical simulations, under specific boundary conditions, corresponded to the operating conditio... [more]
Rock Macro−Meso Parameter Calibration and Optimization Based on Improved BP Algorithm and Response Surface Method in PFC 3D
Junqing Ren, Ming Xiao, Guoqing Liu
February 27, 2023 (v1)
Subject: Optimization
Keywords: adaption, improved BP algorithm, lightweight, Optimization, parameter calibration, PFC 3D, subresponse surfaces
In order to obtain the calibration law of rock macro and meso parameters under three-dimensional conditions, based on the parallel bond model, starting with the basic theory of PFC and the qualitative relationship between macro and meso parameters, an orthogonal experimental scheme is designed. An improved BP algorithm is proposed, which has a function with gradient factor, adaptive Nesterov momentum method, and adaptive learning rate for the lightweight analysis of meso parameters. The sensitivity between macro and meso parameters is quantified, and the key meso parameters are screened out. Based on the lightweight model, the correlation and influence mechanisms between macro and meso parameters are analyzed. It was found that the elastic modulus increases linearly with the increase in equivalent modulus. The parallel bond stiffness ratio can inhibit the growth of the elastic modulus, and the elastic modulus decreases greatly when the stiffness is relatively high. There is a linear re... [more]
The Heat-Storing Micro Gas Turbine—Process Analysis and Experimental Investigation of Effects on Combustion
Eleni Agelidou, Hannah Seliger-Ost, Martin Henke, Volker Dreißigacker, Thomas Krummrein, Peter Kutne
February 27, 2023 (v1)
Keywords: combustor, FLOX®, high-temperature heat storage, HTES, jet-stabilized, MGT, micro gas turbine
Renewable energy sources such as wind turbines and photovoltaics are the key to an environmentally friendly energy supply. However, their volatile power output is challenging in regard to supply security. Therefore, flexible energy systems with storage capabilities are crucial for the expansion of renewable energy sources since they allow storing off-demand produced power and reconverting and supplying it on-demand. For this purpose, a novel power plant concept is presented where high-temperature energy storage (HTES) is integrated between the recuperator and the combustor of a conventional micro gas turbine (MGT). It is used to store renewable energy in times of oversupply, which is later used to reduce fuel demand during MGT operation. Hereby, pollutant emissions are reduced significantly, while the power grid is stabilized. This paper presents a numerical process simulation study, aiming to examine the influence of different storage temperatures and load profiles of HTES on the MGT... [more]
Renewable Energy Sources as Backup for a Water Treatment Plant
Michal Kotulla, Miroslava Goňo, Radomír Goňo, Matouš Vrzala, Zbigniew Leonowicz, Iwona Kłosok-Bazan, Joanna Boguniewicz-Zabłocka
February 27, 2023 (v1)
Keywords: backup power supply, blackout, multi-criteria analysis method, renewable sources, water treatment plant, weighted sum approach
The article is focused on the issue of blackouts in a water industry and the selection of a renewable energy source for a water treatment plant. In the case of power outage, it is necessary to constantly ensure the supply of a drinking water, if this requirement would not be met, it could cause of deterioration of hygiene and health of the population. To be able to convey drinking water during a blackout, it is mandatory to have a backup power supply. The state of the current water treatment plants in the Czech Republic is that they are using diesel generators as backup power supply, which causes air pollution. There are other options of power supply that can be used, such as renewable energy sources. By using a multi-criteria analysis method, renewable energy sources were analyzed for a water treatment plant in the selected region. Based on the results, it seems that the most suitable choice is a small hydro power plant at the entry points of water treatment plant. Other possibilities... [more]
Heat Reflective Thin-Film Polymer Insulation with Polymer Nanospheres—Determination of Thermal Conductivity Coefficient
Danuta Król, Przemysław Motyl, Joanna Piotrowska-Woroniak, Mirosław Patej, Sławomir Poskrobko
February 27, 2023 (v1)
Keywords: heat reflectivity, nanospheres, polymer insulation, thermal conductivity
In this paper, a method to determine the thermal conductivity coefficient λ in a 200 μm thick heat reflective paint layer, filled with polymer nanospheres with a Total Solar Reflectance (TSR) of 86.95%, is proposed and presented. For this purpose, a “hot box”-type (cube-shaped) test rig was built to carry out experimental tests to measure the temperature distribution on the surface of a double-layer wall containing the material under investigation. Together with the experimental studies, a CFD numerical model was prepared to understand the nature of flow and heat transfer inside the cube—the test chamber. Based on the proposed measurement and analysis method, the thermal conductivity coefficient of the heat reflective coating layer was λ = 0.0007941 W/m∙K.
Short-Term Wind Power Prediction Based on LightGBM and Meteorological Reanalysis
Shengli Liao, Xudong Tian, Benxi Liu, Tian Liu, Huaying Su, Binbin Zhou
February 27, 2023 (v1)
Keywords: light gradient boosting machine, meteorological factors, mutual information coefficient, nonparametric regression, short-term forecast of wind power
With the expansion of wind power grid integration, the challenges of sharp fluctuations and high uncertainty in preparing the power grid day-ahead plan and short-term dispatching are magnified. These challenges can be overcome through accurate short-term wind power process prediction based on mining historical operation data and taking full advantage of meteorological forecast information. In this paper, adopting the ERA5 reanalysis dataset as input, a short-term wind power prediction framework is proposed, combining light gradient boosting machine (LightGBM), mutual information coefficient (MIC) and nonparametric regression. Primarily, the reanalysis data of ERA5 provide more meteorological information for the framework, which can help improve the model input features. Furthermore, MIC can identify effective feature subsets from massive feature sets that significantly affect the output, enabling concise understanding of the output. Moreover, LightGBM is a prediction method with a stro... [more]
Effect of Methane Cracking on Carbon Isotope Reversal and the Production of Over-Mature Shale Gas
Jingkui Mi, Wei Wu, Di Zhu, Ziqi Feng
February 27, 2023 (v1)
Keywords: CH4 cracking, CH4 polymerization, magnitude of isotope reversal, mud gas, over-mature shale gas
The geochemical statistics indicate that the wetness (C2~C5/C1~C5) of over-mature shale gas with carbon isotope reversal is less than 1.8%. The magnitude of carbon isotope reversal (δ13C1−δ13C2) increases with decreasing wetness within a wetness range of 0.9~1.8% and then decreases at wetness <0.9%. The experimental result demonstrates that CH4 polymerization proceeding to CH4 substantial cracking is an important factor involved in isotope reversal of over-mature shale gas. Moreover, δ13C1−δ13C2 decreases with an increase in experimental temperature prior to CH4 substantial cracking. The values of δ13C1 and δ13C2 tend to equalize during CH4 substantial cracking. The δ13C1−δ13C2 of mud gas investigated at different depths during shale gas drilling in the Sichuan Basin increases initially, then decreases with further increase in the depth, and finally tends to zero, with only a trace hydrocarbon gas being detectable. Thus, the approximately equal value between δ13C1 and δ13C2 for over... [more]
Embedded FPGA Controllers for Current Compensation Based on Modern Power Theories
Nicholas D. de Andrade, Ruben B. Godoy, Edson A. Batista, Moacyr A. G. de Brito, Rafael L. R. Soares
February 27, 2023 (v1)
Keywords: active parallel power filter, FPGA-in-the-loop, modern power theories
This work compares the performance of two embedded FPGA controllers that can be used in Active Parallel Power Filters (APPF). Both controllers are validated through the FPGA-in-the-loop (FIL) technique, the algorithm’s synthesis is accomplished using the Quartus II® platform, and the board used is from Altera®—Cyclone IV DE2-115. The main difference between the controllers resides in the power theories used to obtain the currents for compensation. The results confirm that the FPGA is a suitable digital device for the parallel operation of multiple compensators and calculation stages, being a viable solution for the requirements imposed in the control of APPF. Furthermore, the effectiveness of the FIL technique for validating the operation of digital circuits and control systems is also confirmed. Finally, a comparison between the processing costs of each of the implemented power theories is presented to guide novel proposals.
Distributed Generation Power Systems in Wastewater Management
Matouš Vrzala, Miroslava Goňo, Radomír Goňo, Michal Kotulla, Małgorzata Wzorek, Zbigniew Leonowicz
February 27, 2023 (v1)
Keywords: blackout, distributed generation, island operation, Renewable and Sustainable Energy, wastewater treatment
The article concerns the energy security of a wastewater treatment process caused by unforeseen situations related to the risk of electrical power outages. In this case, renewable energy sources based on distributed generation power systems can solve this problem in each wastewater treatment plant. The article highlights e related challenges and proposes the direction of solutions in this regard based on Czech conditions. The first part of the paper deals with the consequences of long-term outage of wastewater treatment plants on the population and the environment. There are several solutions presented for blackout conditions, and model calculations are made based on data from a Czech wastewater treatment plant. Diesel engine-generators, biogas as a cogeneration source of heat and electricity, solar panels with storage systems and combined biogas and solar systems were considered as approaches to provide energy autonomy during a blackout in a wastewater treatment plant. Special attenti... [more]
Theoretical and Experimental Analysis of Engine Performance and Emissions Fuelled with Jojoba Biodiesel
A. G. M. B. Mustayen, M. G. Rasul, Xiaolin Wang, M. M. K. Bhuiya, Michael Negnevitsky, James Hamilton
February 27, 2023 (v1)
Keywords: diesel engine, emissions, ignition delay, jojoba biodiesel, single-zone model
Over many decades, isolated regions (e.g., islands, rural and remote areas) have heavily relied on diesel engine for producing power and energy. However, due to depleting fossil fuels and concerning emissions, biodiesels could be the substitute for diesel in power generation sectors. This study developed a single-zone thermodynamic model to predict the engine performances such as brake power (BP), torque, brake thermal efficiency (BTE), brake-specific fuel consumption (BSFC) and ignition delay (ID) times for diesel and jojoba biodiesel. The experiments were conducted on a fully automated, 4-cylinder, 4-stroke, liquid-cooled direct injection 3.7-L diesel engine fueled with diesel (D100) and three jojoba blends (JB5, JB10, and JB20) to validate the model. The performance simulation results agreed with experimental data for all tested fuels at 1200 to 2400 rpm speed and 25%, 50%, 75%, and 100% loading operation. The minimum error (3.7%) was observed for BP for D100 at 2000 rpm and 100% lo... [more]
Second Harmonic Current Reduction Control for Two-Stage Inverter with a New Inductor Current Feedback Path
Hao Dong, Jiaqun Xu
February 27, 2023 (v1)
Keywords: bandpass filter, inductor current feedback, second harmonic current (SHC), two-stage inverter, virtual resistor
The instantaneous output power of the two-stage inverter pulsates at twice the output frequency, resulting in the second harmonic current (SHC) in the front-end dc-dc converter. To reduce the SHC in the inductance branch while maintaining good dynamic performance, this paper proposes a control scheme based on a new inductor current feedback path in the front-end buck converter. In the scheme, through the equivalent gain, the virtual resistor, and the bandpass filter, the inductor current is fed to the front of the voltage regulator. The feedback function simplification is studied and the implementation of the proposed scheme is illustrated. With considerations of both reducing the SHC and improving the dynamic performance, the parameter design approach for the feedback function is also presented for the proposed SHC reduction control scheme, and the performance analysis and comparison from the viewpoint of output impedance are provided. The simulation model and the prototype of a 10 kW... [more]
Sector Coupling Potential of a District Heating Network by Consideration of Residual Load and CO2 Emissions
Melanie Werner, Sebastian Muschik, Mathias Ehrenwirth, Christoph Trinkl, Tobias Schrag
February 27, 2023 (v1)
Keywords: CO2 emissions, district heating networks, residual load, sector coupling
The growing share of fluctuating renewable electricity production within the German energy system causes the increasing necessity for flexible consumers, producers, and storage technologies to balance supply and demand. District heating networks with combined heat and power units, Power-to-Heat applications, and thermal energy storage capacities can serve as one of these flexible options. In this context, a simulation model of the district heating network of the rural community Dollnstein, Germany, was built. With the residual load of different regional areas (Germany, Bavaria, Eichstätt, Dollnstein) it is investigated, how the heat generators can operate in an electricity market beneficial way. Two different control algorithms were evaluated: Due to a correlation between the residual loads and the CO2 emissions of the electricity mix, the CO2 savings achieved by this control algorithm are determined. Another way to operate electricity market beneficial is to consider the current CO2 e... [more]
Study on the Flow Boiling Heat Transfer Characteristics of the Liquid Film in a Rotating Pipe
Wenlei Lian, Yu Zhu, Zijian Sun
February 27, 2023 (v1)
Keywords: flow boiling, heat transfer characteristics, numerical simulation, rotating liquid film, visual experimental research
A three-dimensional numerical model is established to study the flow boiling heat transfer characteristics of the liquid film in a rotating pipe, and the effectiveness of the model is verified by a comparison between the numerical results and the experimental results. The effects of rotational speed, heat flux, and Coriolis force on the characteristics of heat transfer of the rotating liquid film are investigated. The conclusions are drawn as follows: (1) The convection of the rotating liquid film is enhanced while the nucleate boiling in the rotating liquid film is inhibited by the increase in the rotational speed; (2) With the influence of these two factors, the heat transfer coefficient increases with centrifugal acceleration increasing from 20 g to 40 g, then decreases with centrifugal acceleration increasing from 40 g to 120 g; (3) The turbulent intensity of the flow with Coriolis force is obviously increased compared to that without Coriolis force when the centrifugal acceleratio... [more]
Pyrolysis Valorization of Vegetable Wastes: Thermal, Kinetic, Thermodynamics, and Pyrogas Analyses
Samar Elkhalifa, Sabah Mariyam, Hamish R. Mackey, Tareq Al-Ansari, Gordon McKay, Prakash Parthasarathy
February 27, 2023 (v1)
Subject: Environment
Keywords: carrot waste, cucumber waste, kinetics/TGA–MS analysis, pyrolysis, ternary blend, tomato waste
In comparison to other methods, valorising food waste through pyrolysis appears to be the most promising because it is environmentally friendly, fast, and has a low infrastructure footprint. On the other hand, understanding the pyrolytic kinetic behaviour of feedstocks is critical to the design of pyrolysers. As a result, the pyrolytic degradation of some common kitchen vegetable waste, such as tomato, cucumber, carrot, and their blend, has been investigated in this study using a thermogravimetric analyser. The most prevalent model fitting method, Coats−Redfern, was used for the kinetic analysis, and the various mechanisms have been investigated. Some high-quality fitting mechanisms were identified and used to estimate the thermodynamic properties. As the generation of pyrolysis gases for chemical/energy production is important to the overall process applicability, TGA-coupled mass spectrometry was used to analyse the pyrogas for individual and blend samples. By comparing the devolatil... [more]
Performance Analysis and Optimization of a Cooling System for Hybrid Solar Panels Based on Climatic Conditions of Islamabad, Pakistan
Mariyam Sattar, Abdul Rehman, Naseem Ahmad, AlSharef Mohammad, Ahmad Aziz Al Ahmadi, Nasim Ullah
February 27, 2023 (v1)
Keywords: analytical and numerical modeling, efficiency, multi-pass duct cooling, negative temperature power coefficient, Renewable and Sustainable Energy
The unconvertible portion of incident radiation on solar panels causes an increase in their temperature and a decrease in efficiency due to the negative temperature coefficient of the maximum power. This problem is dealt with through the use of cooling systems to lower the temperature of photovoltaic (PV) panels. However, the developments are focused on the loss of efficiency or extract the heat out of the solar panel, rather than optimizing the solution to produce a net gain in the electric power output. Therefore, this study proposes the analytical model for the cell temperature, irradiance and design of absorbers. Furthermore, the cooling systems for the hybrid solar panels were developed through analytical modeling of the solar cell temperature behavior and heat exchange between the fluid and back surface of the PV module in MATLAB. The design parameters such as mass flow rate, input power, solar cell temperature, velocity, height, number of passes and maximum power output were opt... [more]
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