Pub Date : 2023-08-08DOI: 10.31185/ejuow.vol11.iss2.445
Fatima Almosawy, Hadi O. Basher
In the present work, a three-dimensional model was performed to test a geometry and solar radiation effect on the cooling efficiency of a 250 kilovolt-ampere (kVA) oil-natural-air-natural (ONAN) electrical distribution transformer. Several fin shapes and other geometric aspects of the transformer were analyzed numerically (trapezoidal, wavy, and triangle fins).According to the findings, the trapezoidal fin shapes were the most effective in lowering the transformer's average surface and core temperatures, followed by the wavy fins and the triangular fins compared to the traditional transformer shape (straight fins). The study also showed that the temperature of the surface and the core of the transformer increases with increasing solar radiation, but the effect of high temperature as a result of electrical load is more influential than solar radiation. The results showed a significant convergence with previous research.
{"title":"Numerical analysis of the impact of fin design and solar radiation on the cooling performance of a power transformer","authors":"Fatima Almosawy, Hadi O. Basher","doi":"10.31185/ejuow.vol11.iss2.445","DOIUrl":"https://doi.org/10.31185/ejuow.vol11.iss2.445","url":null,"abstract":"In the present work, a three-dimensional model was performed to test a geometry and solar radiation effect on the cooling efficiency of a 250 kilovolt-ampere (kVA) oil-natural-air-natural (ONAN) electrical distribution transformer. Several fin shapes and other geometric aspects of the transformer were analyzed numerically (trapezoidal, wavy, and triangle fins).According to the findings, the trapezoidal fin shapes were the most effective in lowering the transformer's average surface and core temperatures, followed by the wavy fins and the triangular fins compared to the traditional transformer shape (straight fins). The study also showed that the temperature of the surface and the core of the transformer increases with increasing solar radiation, but the effect of high temperature as a result of electrical load is more influential than solar radiation. The results showed a significant convergence with previous research. \u0000 ","PeriodicalId":184256,"journal":{"name":"Wasit Journal of Engineering Sciences","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114998546","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 : 2023-08-08DOI: 10.31185/ejuow.vol11.iss2.387
Z. Talib, Muayed S. Al-Huseiny
There are several problems with waste collection, transportation, processing, and disposal, particularly in major cities. The frequency of garbage collection is an important concern for municipal control. If waste is not disposed of properly, environmental problems such as air pollution and groundwater contamination may occur. This problem raises the alarm for the need for specialized solutions for averting potential calamities that might occur throughout the world. Before deploying to actual situations, computer modeling and planning of waste collection are frequently performed to minimize the negative impact solid waste can have on the environment. As a result, choosing the optimal waste collection policy has a large effect on cost savings. The current study's objective is to apply a genetic algorithm to reach the goals, illustrating the process of selecting the optimal route for the vehicle with the lowest time and greatest weight among several paths. The other goal is to create a schedule for the vehicles in order to decrease them. The schedule will minimize vehicle-related costs such as maintenance, gasoline, work staff salaries, and other vehicle-related costs. In the current study, the MATLAB application R2020a is used to apply reliable data of 10 vehicles from the AL-Rasheed Municipality waste collection vehicles after processing it to be acceptable with the GA. After optimizing the time for routes and weights of lifted trash, the majority of the results improved dramatically. The results reveal that the top five vehicles (8, 6, 7, 1, 4) have a great percentage improvement in the number of collection points (133.3%, 100%, 100%, 66.7%, and 50%), respectively.
{"title":"Optimization of Vehicles Routing Problem using GA For AL-Rasheed municipality, Baghdad, Iraq","authors":"Z. Talib, Muayed S. Al-Huseiny","doi":"10.31185/ejuow.vol11.iss2.387","DOIUrl":"https://doi.org/10.31185/ejuow.vol11.iss2.387","url":null,"abstract":"There are several problems with waste collection, transportation, processing, and disposal, particularly in major cities. The frequency of garbage collection is an important concern for municipal control. If waste is not disposed of properly, environmental problems such as air pollution and groundwater contamination may occur. This problem raises the alarm for the need for specialized solutions for averting potential calamities that might occur throughout the world. Before deploying to actual situations, computer modeling and planning of waste collection are frequently performed to minimize the negative impact solid waste can have on the environment. As a result, choosing the optimal waste collection policy has a large effect on cost savings. The current study's objective is to apply a genetic algorithm to reach the goals, illustrating the process of selecting the optimal route for the vehicle with the lowest time and greatest weight among several paths. The other goal is to create a schedule for the vehicles in order to decrease them. The schedule will minimize vehicle-related costs such as maintenance, gasoline, work staff salaries, and other vehicle-related costs. In the current study, the MATLAB application R2020a is used to apply reliable data of 10 vehicles from the AL-Rasheed Municipality waste collection vehicles after processing it to be acceptable with the GA. After optimizing the time for routes and weights of lifted trash, the majority of the results improved dramatically. The results reveal that the top five vehicles (8, 6, 7, 1, 4) have a great percentage improvement in the number of collection points (133.3%, 100%, 100%, 66.7%, and 50%), respectively.","PeriodicalId":184256,"journal":{"name":"Wasit Journal of Engineering Sciences","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114657953","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 : 2023-08-08DOI: 10.31185/ejuow.vol11.iss2.439
F. R. Sultan, Manaf K. Hussein
The COVID-19 pandemic has been one of the most challenging crises attacking the world in the last three years. Many systems have been introduced in the field of COVID-19 detection. In this research, machine learning and deep learning models for the detection of COVID-19 with a probability of the presence of COVID-19 are proposed. In the machine learning scenario, the COVID-19 dataset is split into 70% training and 30% testing, and a segmentation process is applied to the CT images in order to get the lung ROI only. The features of CT images are then extracted using Gabor-Wavelet and deep-based features. The SVM classifier is then trained and evaluated. For the deep learning model, the CT images are fed into the model without feature extraction, and three different DL models (CNN, GoogleNet, and ResNet50) are trained and evaluated. Other scenarios are proposed in which the SVM Gabor-Wavelet and deep features are fused, and the three deep learning models are also fused to get better performance. The experiments show that the best model is the deep-based fusion model by which the system achieved 96.4156%, 96.1905%, and 96.1905% for accuracy, precision, and recall, respectively.
{"title":"COVID-19 detection using machine learning and fusion-based deep learning models","authors":"F. R. Sultan, Manaf K. Hussein","doi":"10.31185/ejuow.vol11.iss2.439","DOIUrl":"https://doi.org/10.31185/ejuow.vol11.iss2.439","url":null,"abstract":"The COVID-19 pandemic has been one of the most challenging crises attacking the world in the last three years. Many systems have been introduced in the field of COVID-19 detection. \u0000In this research, machine learning and deep learning models for the detection of COVID-19 with a probability of the presence of COVID-19 are proposed. In the machine learning scenario, the COVID-19 dataset is split into 70% training and 30% testing, and a segmentation process is applied to the CT images in order to get the lung ROI only. The features of CT images are then extracted using Gabor-Wavelet and deep-based features. The SVM classifier is then trained and evaluated. For the deep learning model, the CT images are fed into the model without feature extraction, and three different DL models (CNN, GoogleNet, and ResNet50) are trained and evaluated. Other scenarios are proposed in which the SVM Gabor-Wavelet and deep features are fused, and the three deep learning models are also fused to get better performance. The experiments show that the best model is the deep-based fusion model by which the system achieved 96.4156%, 96.1905%, and 96.1905% for accuracy, precision, and recall, respectively.","PeriodicalId":184256,"journal":{"name":"Wasit Journal of Engineering Sciences","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126430496","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 : 2023-08-01DOI: 10.31185/ejuow.vol11.iss2.407
Baydaa Abdul Kareem, S. Zubaidi
Precise streamflow forecasting is crucial when designing water resource planning and management, predicting flooding, and reducing flood threats. This study invented a novel approach for the monthly water streamflow of the Tigris River in Amarah City, Iraq, by integrating an artificial neural network (ANN) with the particle swarm optimisation algorithm (PSO), depending on data preprocessing. Historical streamflow data were utilised from (2010 to 2020). The primary conclusions of this study are that data preprocessing enhances data quality and identifies the optimal predictor scenario. In addition, it was revealed that the PSO algorithm effectively forecasts the parameters of the suggested model. Also, the outcomes indicated that the suggested approach successfully simulated the streamflow according to multiple statistical criteria, including R2, RMSE, and MAE.
{"title":"Novel hybrid model to improve the monthly streamflow prediction: Integrating ANN and PSO","authors":"Baydaa Abdul Kareem, S. Zubaidi","doi":"10.31185/ejuow.vol11.iss2.407","DOIUrl":"https://doi.org/10.31185/ejuow.vol11.iss2.407","url":null,"abstract":"Precise streamflow forecasting is crucial when designing water resource planning and management, predicting flooding, and reducing flood threats. This study invented a novel approach for the monthly water streamflow of the Tigris River in Amarah City, Iraq, by integrating an artificial neural network (ANN) with the particle swarm optimisation algorithm (PSO), depending on data preprocessing. Historical streamflow data were utilised from (2010 to 2020). The primary conclusions of this study are that data preprocessing enhances data quality and identifies the optimal predictor scenario. In addition, it was revealed that the PSO algorithm effectively forecasts the parameters of the suggested model. Also, the outcomes indicated that the suggested approach successfully simulated the streamflow according to multiple statistical criteria, including R2, RMSE, and MAE.","PeriodicalId":184256,"journal":{"name":"Wasit Journal of Engineering Sciences","volume":"42 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132767394","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 : 2023-06-08DOI: 10.31185/ejuow.vol10.iss4.457
M. Albattah
Urbanization has profound effects on administrative boundaries, resulting in the expansion of urban areas, particularly at the periphery. This rapid growth leads to significant changes in landcover and land use, as agricultural and natural open areas are progressively transformed into densely populated urban landscapes characterized by housing, commercial infrastructure, and transportation systems. The capital city of Jordan, Amman, faces exceptional urban growth, with its population surpassing 4.5 million people. This unprecedented expansion has given rise to extensive urban landscapes, presenting challenges for planners who lack a holistic understanding of the wide-ranging impacts. To address these complexities and make well-informed decisions, planners urgently require comprehensive, up-to-date information on the causes, chronology, and consequences of urbanization. Integrating high-precision satellite imagery, geoinformatics data, and topographic insights offers a promising avenue to develop comprehensive inventories of urban change and growth. Such knowledge acts as a vital resource, enabling accurate assessments of expanding built-up areas and their associated implications. The use of high geometric resolution satellite imagery and geoinformatics data combined with topographic information and GIS could provide effective information to develop urban change and growth inventory which could be explored towards producing a very important signature for the built-up area changes.
{"title":"Geoinformatics Engineering and GIS for Urban Growth Patterns Assessment","authors":"M. Albattah","doi":"10.31185/ejuow.vol10.iss4.457","DOIUrl":"https://doi.org/10.31185/ejuow.vol10.iss4.457","url":null,"abstract":"Urbanization has profound effects on administrative boundaries, resulting in the expansion of urban areas, particularly at the periphery. This rapid growth leads to significant changes in landcover and land use, as agricultural and natural open areas are progressively transformed into densely populated urban landscapes characterized by housing, commercial infrastructure, and transportation systems. \u0000The capital city of Jordan, Amman, faces exceptional urban growth, with its population surpassing 4.5 million people. This unprecedented expansion has given rise to extensive urban landscapes, presenting challenges for planners who lack a holistic understanding of the wide-ranging impacts. \u0000To address these complexities and make well-informed decisions, planners urgently require comprehensive, up-to-date information on the causes, chronology, and consequences of urbanization. Integrating high-precision satellite imagery, geoinformatics data, and topographic insights offers a promising avenue to develop comprehensive inventories of urban change and growth. Such knowledge acts as a vital resource, enabling accurate assessments of expanding built-up areas and their associated implications. \u0000The use of high geometric resolution satellite imagery and geoinformatics data combined with topographic information and GIS could provide effective information to develop urban change and growth inventory which could be explored towards producing a very important signature for the built-up area changes.","PeriodicalId":184256,"journal":{"name":"Wasit Journal of Engineering Sciences","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132196617","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 : 2023-06-06DOI: 10.31185/ejuow.vol10.iss4.456
M. Mimouni, L. Kharroubi
Following multiple earthquakes in Algeria, large numbers of reinforced concrete structures have been severely damaged or destroyed, making it necessary to evaluate the actual seismic behavior of existing buildings. Classic linear elastic methods do not accurately represent the actual behavior of the structure, which makes it necessary to use calculation methods that take into account the post-elastic domain of the structure. The Push over method is a procedure that correctly predicts dynamic behavior in the event of a future earthquake. For frame structures, the formation of plastic hinges in the columns results in the transformation of the structure into a mechanism. This explains the need to give the post a higher strength than the beams.
{"title":"INFLUENCE OF COMPOSITE REINFORCEMENT ON THE DELOCALIZATION OF PLASTIC HINGES","authors":"M. Mimouni, L. Kharroubi","doi":"10.31185/ejuow.vol10.iss4.456","DOIUrl":"https://doi.org/10.31185/ejuow.vol10.iss4.456","url":null,"abstract":"Following multiple earthquakes in Algeria, large numbers of reinforced concrete structures have been severely damaged or destroyed, making it necessary to evaluate the actual seismic behavior of existing buildings. Classic linear elastic methods do not accurately represent the actual behavior of the structure, which makes it necessary to use calculation methods that take into account the post-elastic domain of the structure. The Push over method is a procedure that correctly predicts dynamic behavior in the event of a future earthquake. For frame structures, the formation of plastic hinges in the columns results in the transformation of the structure into a mechanism. This explains the need to give the post a higher strength than the beams.","PeriodicalId":184256,"journal":{"name":"Wasit Journal of Engineering Sciences","volume":"30 13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122935007","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 : 2023-06-05DOI: 10.31185/ejuow.vol10.iss4.455
M. Al-Tahat, Abdelrahman Mohammed Alrai
This paper is focused on managing waste that is generated by construction. Starting with expressing, how significant construction waste affecting project success, and then lean management principles were proven to be positively helping in keeping construction projects waste controlled. Where construction waste sources and causes were subcategorized under each main waste category that lean principles deal with. After that, adequate questionnaire was developed in order to collect data. These data were analyzed in order to determine the level of occurrence and significance for each waste type and to scientifically recommend the proper tools and techniques to deal with them, effective lean tools to be applied in Jordan according to waste sources that were determined.
{"title":"Waste Management for Jordanian Industries Using Lean Management Principles","authors":"M. Al-Tahat, Abdelrahman Mohammed Alrai","doi":"10.31185/ejuow.vol10.iss4.455","DOIUrl":"https://doi.org/10.31185/ejuow.vol10.iss4.455","url":null,"abstract":"This paper is focused on managing waste that is generated by construction. Starting with expressing, how significant construction waste affecting project success, and then lean management principles were proven to be positively helping in keeping construction projects waste controlled. Where construction waste sources and causes were subcategorized under each main waste category that lean principles deal with. After that, adequate questionnaire was developed in order to collect data. These data were analyzed in order to determine the level of occurrence and significance for each waste type and to scientifically recommend the proper tools and techniques to deal with them, effective lean tools to be applied in Jordan according to waste sources that were determined.","PeriodicalId":184256,"journal":{"name":"Wasit Journal of Engineering Sciences","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125758264","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 : 2023-06-05DOI: 10.31185/ejuow.vol10.iss4.454
S. Abdullah, D. Salih
Monitoring city sprawls is considered an essential subject in urban planning. The most important object in the urban areas is the building; therefore, finding an automatic method for detecting the changes in the buildings is considered a priority task for researchers to consider the changes in a district, especially for assessing the damages during disasters and updating geo-database. However, using 2D images to detect changes is ineffective because of the various imaging environments and the parameters of the sensors. Furthermore, during the change detection process, it is difficult to distinguish between the building and other objects due to the similarity of spectral properties. Therefore, it is necessary to use stereo images for DSM generation and then find the changes. This paper proposes a Kullback–Leibler divergence (KLD) algorithm to detect urban area changes based on stereo imagery. Two DSMs have been obtained through the photogrammetric process using two different sensors. The first data set is based on the stereo aerial imagery captured in 2012 and the second stereo is from the worldview-2 sensor captured in 2017. Before applying the KLD algorithm, the aerial’s DSM, which has an original resolution of 0.3m, was resampled to 1 m to make it similar to the satellite’s DSM. Three study areas have been selected for the algorithms test, located in Erbil-Iraq. The assessment shows that the KLD detected changes better than other methods after removing the small fragments through the post-processing step. For the evaluation, the confusion matrix has been determined for each study area. The analysis demonstrates that the overall accuracy for the three study areas where 89.3%, 91.1% and 88.9 %, respectively.
{"title":"3D Buildings Change Detection from Aerial and Satellite Stereo Imagery Using Kullback–Leibler Divergence Algorithm","authors":"S. Abdullah, D. Salih","doi":"10.31185/ejuow.vol10.iss4.454","DOIUrl":"https://doi.org/10.31185/ejuow.vol10.iss4.454","url":null,"abstract":"Monitoring city sprawls is considered an essential subject in urban planning. The most important object in the urban areas is the building; therefore, finding an automatic method for detecting the changes in the buildings is considered a priority task for researchers to consider the changes in a district, especially for assessing the damages during disasters and updating geo-database. However, using 2D images to detect changes is ineffective because of the various imaging environments and the parameters of the sensors. Furthermore, during the change detection process, it is difficult to distinguish between the building and other objects due to the similarity of spectral properties. Therefore, it is necessary to use stereo images for DSM generation and then find the changes. This paper proposes a Kullback–Leibler divergence (KLD) algorithm to detect urban area changes based on stereo imagery. Two DSMs have been obtained through the photogrammetric process using two different sensors. The first data set is based on the stereo aerial imagery captured in 2012 and the second stereo is from the worldview-2 sensor captured in 2017. Before applying the KLD algorithm, the aerial’s DSM, which has an original resolution of 0.3m, was resampled to 1 m to make it similar to the satellite’s DSM. Three study areas have been selected for the algorithms test, located in Erbil-Iraq. The assessment shows that the KLD detected changes better than other methods after removing the small fragments through the post-processing step. For the evaluation, the confusion matrix has been determined for each study area. The analysis demonstrates that the overall accuracy for the three study areas where 89.3%, 91.1% and 88.9 %, respectively.","PeriodicalId":184256,"journal":{"name":"Wasit Journal of Engineering Sciences","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116043157","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 : 2023-04-01DOI: 10.31185/ejuow.vol11.iss1.346
Hussain H. Mahdy, A. Hassen, Mohammed G. Al-Azawy
The desiccant air conditioning system consists of two processes, namely cooling and dehumidification, in which the air temperature and humidity are controlled in order to provide comfortable thermal conditions. A typical system includes a dehumidifier, indirect evaporative cooler, and regenerator. The desiccant is selected depending on its ability to absorb water vapor present in the air. In this study, calcium chloride solution was used as a desiccant for the desiccant solution regeneration process, and a flat plate solar collector was employed. Different variables, such as the primary air flow rate, desiccant flow rate, and the concentration of the desiccant solution, were changed during the experiments. The impact of these variables on the performance parameters of the desiccant system such as moisture removal rate, moisture efficiency, enthalpy efficiency, sensible heat ratio, and the mass transfer coefficient was studied. The obtained results revealed that as the solution concentration and the flow rate of primary air increase, the moisture removal rate, sensible heat ratio, and mass transfer coefficient increase. A particular value of inlet primary air flow rate (0.18Kg/s), an increase in the inlet concentration of calcium chloride solution from 0.85 to 0.95 leads to a rise in moisture removal rate, sensible heat ratio, and mass transfer coefficient of (1.1 _1.65) g/s, (0.18-0.25), and (0.01075-0.0123) m/s respectively. While at a certain inlet concentration of a desiccant solution (0.95), increasing the inlet primary air flow rate from 0.1Kg/s to 0.18Kg/s leads to an increase in the moisture removal rate, sensible heat ratio, and mass transfer coefficient o (0.94-1.26) g/s, (0.24-0.26), and(0.0038 -0.011) m/s respectively.
{"title":"Investigating the impact of flow rate and moisture content for different concentration of liquid desiccant solution","authors":"Hussain H. Mahdy, A. Hassen, Mohammed G. Al-Azawy","doi":"10.31185/ejuow.vol11.iss1.346","DOIUrl":"https://doi.org/10.31185/ejuow.vol11.iss1.346","url":null,"abstract":"The desiccant air conditioning system consists of two processes, namely cooling and dehumidification, in which the air temperature and humidity are controlled in order to provide comfortable thermal conditions. A typical system includes a dehumidifier, indirect evaporative cooler, and regenerator. The desiccant is selected depending on its ability to absorb water vapor present in the air. In this study, calcium chloride solution was used as a desiccant for the desiccant solution regeneration process, and a flat plate solar collector was employed. Different variables, such as the primary air flow rate, desiccant flow rate, and the concentration of the desiccant solution, were changed during the experiments. The impact of these variables on the performance parameters of the desiccant system such as moisture removal rate, moisture efficiency, enthalpy efficiency, sensible heat ratio, and the mass transfer coefficient was studied. The obtained results revealed that as the solution concentration and the flow rate of primary air increase, the moisture removal rate, sensible heat ratio, and mass transfer coefficient increase. A particular value of inlet primary air flow rate (0.18Kg/s), an increase in the inlet concentration of calcium chloride solution from 0.85 to 0.95 leads to a rise in moisture removal rate, sensible heat ratio, and mass transfer coefficient of (1.1 _1.65) g/s, (0.18-0.25), and (0.01075-0.0123) m/s respectively. While at a certain inlet concentration of a desiccant solution (0.95), increasing the inlet primary air flow rate from 0.1Kg/s to 0.18Kg/s leads to an increase in the moisture removal rate, sensible heat ratio, and mass transfer coefficient o (0.94-1.26) g/s, (0.24-0.26), and(0.0038 -0.011) m/s respectively.","PeriodicalId":184256,"journal":{"name":"Wasit Journal of Engineering Sciences","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115426794","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 : 2023-04-01DOI: 10.31185/ejuow.vol11.iss1.323
Hayder R. Idan, Basim K. J. Al-Shammari, H. F. Khazal
mmWave Path Loss (PL) Link Budget (LB) modeling considerations are based on many different factors. For instance, the third generation partnership project (3GPP) model is mainly based on the distance from an Access Point (AP) and the frequency of transmission as well as the transmission link budget situation. Furthermore, there are certain interesting models about the effects of dust and humidity on the mmWave propagation. These models had introduced the consequences of the humid and dusty environments without consideration for the additional mmWave transmission LB parameters. First of all, this paper introduces an average dust and humidity model based on statistical Z-test in order to overcome the variation in the results between the three chosen models for dust and humidity effect in the mmWave range. Secondly, it proposes LB compound model, that comprises 3GPP PL LB with an average dust and humidity model. This introduced compound model has been applied on RMa PL LB with and without the presence of dust and humidity. The simulation of the presented model has been applied for distinct distances from the AP and mmWave transmission frequency range from 0.5 to 30 GHz.
{"title":"mmWave Compound Link Budget Model of Dust and Humidity Effect","authors":"Hayder R. Idan, Basim K. J. Al-Shammari, H. F. Khazal","doi":"10.31185/ejuow.vol11.iss1.323","DOIUrl":"https://doi.org/10.31185/ejuow.vol11.iss1.323","url":null,"abstract":"mmWave Path Loss (PL) Link Budget (LB) modeling considerations are based on many different factors. For instance, the third generation partnership project (3GPP) model is mainly based on the distance from an Access Point (AP) and the frequency of transmission as well as the transmission link budget situation. Furthermore, there are certain interesting models about the effects of dust and humidity on the mmWave propagation. These models had introduced the consequences of the humid and dusty environments without consideration for the additional mmWave transmission LB parameters. First of all, this paper introduces an average dust and humidity model based on statistical Z-test in order to overcome the variation in the results between the three chosen models for dust and humidity effect in the mmWave range. Secondly, it proposes LB compound model, that comprises 3GPP PL LB with an average dust and humidity model. This introduced compound model has been applied on RMa PL LB with and without the presence of dust and humidity. The simulation of the presented model has been applied for distinct distances from the AP and mmWave transmission frequency range from 0.5 to 30 GHz.","PeriodicalId":184256,"journal":{"name":"Wasit Journal of Engineering Sciences","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126875812","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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