Pub Date : 2021-08-31DOI: 10.15866/iremos.v14i4.18890
Edwin Espinel, G. Romero, J. P. Rojas
{"title":"Energy and Exergy Analysis of a Lithium Bromide – Water (LiBr – H2O) Solar Absorption Refrigeration System","authors":"Edwin Espinel, G. Romero, J. P. Rojas","doi":"10.15866/iremos.v14i4.18890","DOIUrl":"https://doi.org/10.15866/iremos.v14i4.18890","url":null,"abstract":"","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42905702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-31DOI: 10.15866/iremos.v14i4.19376
Yahya Dbaghi, S. Farhat, M. Mediouni, Hassan Essakhi
{"title":"Comparative Study Between Back-Stepping Control and ANN-Sliding Mode Control of DFIG-Based Wind Turbine System","authors":"Yahya Dbaghi, S. Farhat, M. Mediouni, Hassan Essakhi","doi":"10.15866/iremos.v14i4.19376","DOIUrl":"https://doi.org/10.15866/iremos.v14i4.19376","url":null,"abstract":"","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42959059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-30DOI: 10.15866/iremos.v14i3.19503
O. Chernoyarov, A. Glushkov, V. Litvinenko, A. Makarov, B. Matveev
{"title":"On the Digital Simulation of the Random Process Following the Two-Dimensional Nakagami Distribution","authors":"O. Chernoyarov, A. Glushkov, V. Litvinenko, A. Makarov, B. Matveev","doi":"10.15866/iremos.v14i3.19503","DOIUrl":"https://doi.org/10.15866/iremos.v14i3.19503","url":null,"abstract":"","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43057849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-30DOI: 10.15866/iremos.v14i3.19939
H. Arunkumar, K. Karanth, N. Sharma, N. Madhwesh
There have been various studies on the effect of turbulators of different shapes integrated with the absorber plate's underside for improved performance. However, a study on rectangular profiled variable height turbulators along the flow direction is not available. In this paper, an attempt has been made to explore in detail this aspect. The roughness of different kinds on the heat transfer surface mainly creates turbulence and breaks the laminar sub-layer, enhancing the heat transfer rate. In the present work, a solar air heater's performance incorporated rectangular profiled variable height turbulators of different configurations, i.e. increasing height turbulators, decreasing height turbulators and constant height turbulators, are being numerically investigated. For the base model, i.e. without any turbulators, a numerical and experimental analysis has been carried to establish the present analysis's overall validity. All tested turbulators show better performance compared to the base model. Configuration, which has to decrease in height towards the flow direction, shows relatively higher performance in terms of heat transfer coefficient, outlet temperature, and thermohydraulic enhancement factor than that of the other configurations. It is found from the analysis that for decreasing height turbulators, there is an enhancement of 21% to 0.2% for the Reynolds number from 3000 to 15000, respectively. For the higher Reynolds number above 15000, the THEF will be lesser than the base model.
{"title":"CFD Analysis on Rectangular Shaped Variable Height Turbulators Fitted in a Solar Air Heater for Improved Thermal Performance","authors":"H. Arunkumar, K. Karanth, N. Sharma, N. Madhwesh","doi":"10.15866/iremos.v14i3.19939","DOIUrl":"https://doi.org/10.15866/iremos.v14i3.19939","url":null,"abstract":"There have been various studies on the effect of turbulators of different shapes integrated with the absorber plate's underside for improved performance. However, a study on rectangular profiled variable height turbulators along the flow direction is not available. In this paper, an attempt has been made to explore in detail this aspect. The roughness of different kinds on the heat transfer surface mainly creates turbulence and breaks the laminar sub-layer, enhancing the heat transfer rate. In the present work, a solar air heater's performance incorporated rectangular profiled variable height turbulators of different configurations, i.e. increasing height turbulators, decreasing height turbulators and constant height turbulators, are being numerically investigated. For the base model, i.e. without any turbulators, a numerical and experimental analysis has been carried to establish the present analysis's overall validity. All tested turbulators show better performance compared to the base model. Configuration, which has to decrease in height towards the flow direction, shows relatively higher performance in terms of heat transfer coefficient, outlet temperature, and thermohydraulic enhancement factor than that of the other configurations. It is found from the analysis that for decreasing height turbulators, there is an enhancement of 21% to 0.2% for the Reynolds number from 3000 to 15000, respectively. For the higher Reynolds number above 15000, the THEF will be lesser than the base model.","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49300609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-30DOI: 10.15866/iremos.v14i3.19027
Carlos Pardo García, J. Pabón, Marlen Fonseca Vigoya
{"title":"Predictive Computational Model for Analysis of a 4JJ1 Diesel Engine","authors":"Carlos Pardo García, J. Pabón, Marlen Fonseca Vigoya","doi":"10.15866/iremos.v14i3.19027","DOIUrl":"https://doi.org/10.15866/iremos.v14i3.19027","url":null,"abstract":"","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48413405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-30DOI: 10.15866/iremos.v14i3.19730
A. Serrat, B. Djebbar
{"title":"Approximate Solution by Ant Colony Programming to Symmetrical Drop Suspended Equilibrium Equation","authors":"A. Serrat, B. Djebbar","doi":"10.15866/iremos.v14i3.19730","DOIUrl":"https://doi.org/10.15866/iremos.v14i3.19730","url":null,"abstract":"","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49065604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-30DOI: 10.15866/iremos.v14i3.19063
Carlos Pardo García, J. Pabón, Marlen Fonseca Vigoya
In recent years, the high emission standards have grown the development of different strategies focused on the reduction of pollutants produced by combustion processes in energy transfer systems. For that reason, different studies have been developed to minimize fuel consumption and elevate internal combustion performance under different operating modes. Internal combustion engines are widely studied currently by means of advanced theories of thermal and fluid mechanics sciences with the aim to improve the energy transfer processes needed to transform the chemical energy generated in work during the complex fuel combustion process into the combustion chamber. Inexpensive methods have been developed to improve the internal combustion engine performance based on the understanding of chemical reactions and physical processes of mass and energy transfer. Mathematical and experimental models are employed to approximate the real working conditions, the physical phenomenon of the fuel flow injected into the combustion chamber of the internal combustion engine. Therefore, this paper proposes a predictive model that relates the fuel injection system with the combustion process and the heat transfer into the walls of the combustion chamber. External forces are considered during the internal combustion engine operation under real working conditions taking into account the dependent variables of the partial differential equations system that describes the internal combustion engine performance. A good agreement was reached between the experimental and predictive approaches. The results showed an error rate of less than 3 percent, considering a multiple linear regression model adjusted to the characterized internal combustion engine.
{"title":"A Statistical and Computational Predictive Model of the Direct Fuel Injection System in Diesel Engines","authors":"Carlos Pardo García, J. Pabón, Marlen Fonseca Vigoya","doi":"10.15866/iremos.v14i3.19063","DOIUrl":"https://doi.org/10.15866/iremos.v14i3.19063","url":null,"abstract":"In recent years, the high emission standards have grown the development of different strategies focused on the reduction of pollutants produced by combustion processes in energy transfer systems. For that reason, different studies have been developed to minimize fuel consumption and elevate internal combustion performance under different operating modes. Internal combustion engines are widely studied currently by means of advanced theories of thermal and fluid mechanics sciences with the aim to improve the energy transfer processes needed to transform the chemical energy generated in work during the complex fuel combustion process into the combustion chamber. Inexpensive methods have been developed to improve the internal combustion engine performance based on the understanding of chemical reactions and physical processes of mass and energy transfer. Mathematical and experimental models are employed to approximate the real working conditions, the physical phenomenon of the fuel flow injected into the combustion chamber of the internal combustion engine. Therefore, this paper proposes a predictive model that relates the fuel injection system with the combustion process and the heat transfer into the walls of the combustion chamber. External forces are considered during the internal combustion engine operation under real working conditions taking into account the dependent variables of the partial differential equations system that describes the internal combustion engine performance. A good agreement was reached between the experimental and predictive approaches. The results showed an error rate of less than 3 percent, considering a multiple linear regression model adjusted to the characterized internal combustion engine.","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41510783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-30DOI: 10.15866/iremos.v14i3.19890
D. Karlov, Iurii Prokazov, A. Bakshtanin, T. Matveeva, L. Kondratenko
High variability and intermittency of wind create difficulties in managing and optimizing wind farms. Short-term forecasts are essential for a power plant’s safe operation. The aim of this work was to develop an efficient model for forecasting wind energy in the short term using machine learning and metaheuristics methods. The study improved a fruit Fly Optimization Algorithm (FOA) with decreasing step size to enhance the forecasting accuracy of the backpropagation neural network and radial basis function neural network. The efficiencies of the proposed methods were evaluated by comparing the values of the mean absolute percentage error, the root-mean-square error, and the standard deviation error. It was found that the optimized models demonstrate the high efficiency of forecasting in comparison with actual meteorological data. The error estimation analysis showed that the error values for the optimized models are 4-5 times lower than those for the same models without optimization. It has been shown that FOA with decreasing step size for neural network improves accuracy and computational speed for short-term wind energy forecasts. This approach can be applied in programs for real wind farms and studied for other network parameters, such as weights and offsets.
{"title":"Optimizing Neural Network Model Performance for Wind Energy Forecasting","authors":"D. Karlov, Iurii Prokazov, A. Bakshtanin, T. Matveeva, L. Kondratenko","doi":"10.15866/iremos.v14i3.19890","DOIUrl":"https://doi.org/10.15866/iremos.v14i3.19890","url":null,"abstract":"High variability and intermittency of wind create difficulties in managing and optimizing wind farms. Short-term forecasts are essential for a power plant’s safe operation. The aim of this work was to develop an efficient model for forecasting wind energy in the short term using machine learning and metaheuristics methods. The study improved a fruit Fly Optimization Algorithm (FOA) with decreasing step size to enhance the forecasting accuracy of the backpropagation neural network and radial basis function neural network. The efficiencies of the proposed methods were evaluated by comparing the values of the mean absolute percentage error, the root-mean-square error, and the standard deviation error. It was found that the optimized models demonstrate the high efficiency of forecasting in comparison with actual meteorological data. The error estimation analysis showed that the error values for the optimized models are 4-5 times lower than those for the same models without optimization. It has been shown that FOA with decreasing step size for neural network improves accuracy and computational speed for short-term wind energy forecasts. This approach can be applied in programs for real wind farms and studied for other network parameters, such as weights and offsets.","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47705836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-30DOI: 10.15866/iremos.v14i3.20237
Wafa Batayneh, Yusra AbuRmaileh, Mohammad Adeeb, Assem N. AL-Karasneh
Given the increase use of modern technology in today’s life, many facility appliances provide efficient ways to protect human from hazardous work areas, such as explosives, and nuclear plants. This paper proposes a four omnidirectional-wheels mobile robot based on a Mecanum wheel that can navigate smoothly taking into consideration the kinematic constraint. In this research, Genetic Algorithm (GA) is used for two purposes. First, GA-PID controller is used, where a PID controller is tuned using GA. Second, the kinematic constraint of the motor’s speed is taken into consideration using GA controller. GA finds the appropriate robot velocity that requires about 90% of the rated maximum motor’s speed. In order to evaluate the performance of the developed robot and its controller, MATLAB is used to verify the robustness of the optimized GA-PID controller taking into consideration the motors’ speeds. The error and the robot motors’ speeds are calculated utilizing MATLAB simulation on different complex shapes and the result shows that the robot can smoothly navigate complex shapes without exceeding the rated maximum motors speed.
{"title":"Smooth 2D Navigation in Hazardous Areas Utilizing a GA-PID Controlled Omnidirectional Mobile Robot with Kinematic Constraint Consideration","authors":"Wafa Batayneh, Yusra AbuRmaileh, Mohammad Adeeb, Assem N. AL-Karasneh","doi":"10.15866/iremos.v14i3.20237","DOIUrl":"https://doi.org/10.15866/iremos.v14i3.20237","url":null,"abstract":"Given the increase use of modern technology in today’s life, many facility appliances provide efficient ways to protect human from hazardous work areas, such as explosives, and nuclear plants. This paper proposes a four omnidirectional-wheels mobile robot based on a Mecanum wheel that can navigate smoothly taking into consideration the kinematic constraint. In this research, Genetic Algorithm (GA) is used for two purposes. First, GA-PID controller is used, where a PID controller is tuned using GA. Second, the kinematic constraint of the motor’s speed is taken into consideration using GA controller. GA finds the appropriate robot velocity that requires about 90% of the rated maximum motor’s speed. In order to evaluate the performance of the developed robot and its controller, MATLAB is used to verify the robustness of the optimized GA-PID controller taking into consideration the motors’ speeds. The error and the robot motors’ speeds are calculated utilizing MATLAB simulation on different complex shapes and the result shows that the robot can smoothly navigate complex shapes without exceeding the rated maximum motors speed.","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43807541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-30DOI: 10.15866/iremos.v14i3.20174
Tuqa Abdulrazzaq, R. Homod, H. Togun
Nanofluids are recommended to improve heat transfer in cooling and heating systems, resulting in significant benefits. This paper numerically investigates turbulent heat transfer and Al2O3-nanofluid flow over a vertical double forward-facing step. A two dimensional with three different cases of vertical DFFS is conducted using K-ɛ model based on finite volume method for volume fraction of nanofluids varied for 1%, 2% ,3% and Reynolds number changed from 10000 to 40000. With increasing Reynolds number, there is an increase in local coefficients of heat transfer, with the highest coefficient of heat transfer detected at Re=40000. For volume fractions of Al2O3= 3% and Reynolds numbers of 40000, the effects of step height on surface coefficients of heat transfer are described. In addition, the findings have discovered that as the volume fraction of Al2O3 nanofluids has increased, the coefficient of heat transfer has increased as well, with the maximum coefficient of heat transfer occurring at a volume fraction of Al2O3 nanofluids of 3%. Furthermore, the first step-case 2 local coefficient of heat transfer has been higher than the first step-cases 1 and 3. Increased Re number causes a sharp drop in local static pressure at the first and at the second steps. Due to the recirculation flow, there has been a reduction in velocity profile near the first and second steps, indicating an increase in heat transfer rate. Moreover, velocity counters are shown in order to demonstrate how Reynolds number affects the size of the recirculation zone. In addition, the turbulence kinetic energy counter has been shown in order to demonstrate how to achieve thermal efficiency in the second step in all the cases.
{"title":"Augmentation of Heat Transfer and AL2O3-Nanofluid Flow Over Vertical Double Forward-Facing Step (DFFS)","authors":"Tuqa Abdulrazzaq, R. Homod, H. Togun","doi":"10.15866/iremos.v14i3.20174","DOIUrl":"https://doi.org/10.15866/iremos.v14i3.20174","url":null,"abstract":"Nanofluids are recommended to improve heat transfer in cooling and heating systems, resulting in significant benefits. This paper numerically investigates turbulent heat transfer and Al2O3-nanofluid flow over a vertical double forward-facing step. A two dimensional with three different cases of vertical DFFS is conducted using K-ɛ model based on finite volume method for volume fraction of nanofluids varied for 1%, 2% ,3% and Reynolds number changed from 10000 to 40000. With increasing Reynolds number, there is an increase in local coefficients of heat transfer, with the highest coefficient of heat transfer detected at Re=40000. For volume fractions of Al2O3= 3% and Reynolds numbers of 40000, the effects of step height on surface coefficients of heat transfer are described. In addition, the findings have discovered that as the volume fraction of Al2O3 nanofluids has increased, the coefficient of heat transfer has increased as well, with the maximum coefficient of heat transfer occurring at a volume fraction of Al2O3 nanofluids of 3%. Furthermore, the first step-case 2 local coefficient of heat transfer has been higher than the first step-cases 1 and 3. Increased Re number causes a sharp drop in local static pressure at the first and at the second steps. Due to the recirculation flow, there has been a reduction in velocity profile near the first and second steps, indicating an increase in heat transfer rate. Moreover, velocity counters are shown in order to demonstrate how Reynolds number affects the size of the recirculation zone. In addition, the turbulence kinetic energy counter has been shown in order to demonstrate how to achieve thermal efficiency in the second step in all the cases.","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44225494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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