Pub Date : 2023-05-08DOI: 10.1109/ieCRES57315.2023.10209433
A. E. Halim, Y. Nassar, H. J. Khozondar, E. Bayoumi
Electric vehicles (EVs) will make up a large amount of the demand on future power networks as more people switch to driving them. Lithium-ion battery fast charging is critical to save time and minimize its impact on the utility grid. The goal of this paper is twofold: first, to create a proof-of-concept Simulink model for EV fast chargers; second, to highlight several shortcomings in present fast charger technology. The suggested technique employs PWM rectifiers on the grid side to provide a near-unity power factor with sinusoidal voltage and current. A buck DC-DC converter on the battery side provides the necessary charging voltage to the Lithium-ion battery. Both converters are designed to provide their primary objectives. A set of simulation results is provided to validate the suggested fast-charging technique. The proposed technique successfully charges a 50-kWh battery in 10.25 minutes.
{"title":"Fast Charging of Lithium-ion Battery for Electric Vehicles Application","authors":"A. E. Halim, Y. Nassar, H. J. Khozondar, E. Bayoumi","doi":"10.1109/ieCRES57315.2023.10209433","DOIUrl":"https://doi.org/10.1109/ieCRES57315.2023.10209433","url":null,"abstract":"Electric vehicles (EVs) will make up a large amount of the demand on future power networks as more people switch to driving them. Lithium-ion battery fast charging is critical to save time and minimize its impact on the utility grid. The goal of this paper is twofold: first, to create a proof-of-concept Simulink model for EV fast chargers; second, to highlight several shortcomings in present fast charger technology. The suggested technique employs PWM rectifiers on the grid side to provide a near-unity power factor with sinusoidal voltage and current. A buck DC-DC converter on the battery side provides the necessary charging voltage to the Lithium-ion battery. Both converters are designed to provide their primary objectives. A set of simulation results is provided to validate the suggested fast-charging technique. The proposed technique successfully charges a 50-kWh battery in 10.25 minutes.","PeriodicalId":431920,"journal":{"name":"2023 8th International Engineering Conference on Renewable Energy & Sustainability (ieCRES)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122219569","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 : 2023-05-08DOI: 10.1109/ieCRES57315.2023.10209522
K. Dawoud, A. M. Abu -Hudrouss
The deficit in supply and demand for energy is a chronic problem in Gaza Strip. This creates a challenge in fields at the border regions where grid electricity is inaccessible or unreliable. Consequently, farmers use conventional energy sources and traditional irrigation methods to pump the water from tanks, basin, or rain collection artificial lakes to irrigate the required field. Diesel engines are one of the methods that are used to power pumps at the border regions. However, it incurs high-cost, and frequent maintenance, and has a high carbon dioxide fingerprint. In remote areas of the Gaza Strip, solar photovoltaic (PV) water pumping has been proven to be more cost-effective than diesel water pumping. To replace a diesel engine with solar PV to power up the pumps is faced with the fact that most available and working pumps for irrigation in Gaza Strip are alternating current (AC) motor based which requires high initial torque to start rotating. This results that more PV panels are needed and suitable controller to power it up compared to the brushless DC (BLDC) motored pump. In this paper, we introduce an off-grid solar system for irrigation where BLDC motor pump is used and compared to an equivalent AC motor pump.
{"title":"Off-grid Solar Photovoltaic BLDC motor Pumping Technology for Irrigation in Gaza Strip","authors":"K. Dawoud, A. M. Abu -Hudrouss","doi":"10.1109/ieCRES57315.2023.10209522","DOIUrl":"https://doi.org/10.1109/ieCRES57315.2023.10209522","url":null,"abstract":"The deficit in supply and demand for energy is a chronic problem in Gaza Strip. This creates a challenge in fields at the border regions where grid electricity is inaccessible or unreliable. Consequently, farmers use conventional energy sources and traditional irrigation methods to pump the water from tanks, basin, or rain collection artificial lakes to irrigate the required field. Diesel engines are one of the methods that are used to power pumps at the border regions. However, it incurs high-cost, and frequent maintenance, and has a high carbon dioxide fingerprint. In remote areas of the Gaza Strip, solar photovoltaic (PV) water pumping has been proven to be more cost-effective than diesel water pumping. To replace a diesel engine with solar PV to power up the pumps is faced with the fact that most available and working pumps for irrigation in Gaza Strip are alternating current (AC) motor based which requires high initial torque to start rotating. This results that more PV panels are needed and suitable controller to power it up compared to the brushless DC (BLDC) motored pump. In this paper, we introduce an off-grid solar system for irrigation where BLDC motor pump is used and compared to an equivalent AC motor pump.","PeriodicalId":431920,"journal":{"name":"2023 8th International Engineering Conference on Renewable Energy & Sustainability (ieCRES)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127864742","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 : 2023-05-08DOI: 10.1109/ieCRES57315.2023.10209492
S. Zyoud, Malek G. Daher, M. Shabat
In the majority of cutting-edge Copper Indium Gallium Diselenide (CIGS) photovoltaic cells, Cadmium Sulfide (CdS) is employed as the buffer layer. However, due to the hazardous properties associated with CdS, it is imperative to investigate alternative materials that can offer safety next to both environmental and economic benefits. To facilitate this investigation, the SCAPS-ID computational modeling software has been utilized to analyze pertinent data. A plethora of comprehensive studies have been conducted to ascertain whether other eco-friendly and cost-effective materials, such as Zinc Selenide (ZnSe), Zinc Sulfide (ZnS), Cadmium Selenide (CdSe), and Indium Sulfide (In283), could effectively replace the CdS (buffer) layer in CIGS solar cells. The findings indicate that when CdS and ZnSe are implemented as buffer layers, the photovoltaic cells exhibit superior performance efficiency metrics. The SCAPS-ID simulations demonstrate that optimal p-njunction device efficiency parameters are achieved when the CIGS (absorber) layer thickness spans between 1200 and 1500 nm, the ZnSe (buffer) layer thickness varies from 20 to 60 nm, and the thickness of the Aluminum-doped Zinc Oxide (ZnO:Al) (window) layer measures 25 nm.
{"title":"Enhancing the Efficiency of Thin-Film Heterojunction Solar Cells with CIGS using Alternative Metal Chalcogenide Buffer Layers: SCAPS-1D Simulation software","authors":"S. Zyoud, Malek G. Daher, M. Shabat","doi":"10.1109/ieCRES57315.2023.10209492","DOIUrl":"https://doi.org/10.1109/ieCRES57315.2023.10209492","url":null,"abstract":"In the majority of cutting-edge Copper Indium Gallium Diselenide (CIGS) photovoltaic cells, Cadmium Sulfide (CdS) is employed as the buffer layer. However, due to the hazardous properties associated with CdS, it is imperative to investigate alternative materials that can offer safety next to both environmental and economic benefits. To facilitate this investigation, the SCAPS-ID computational modeling software has been utilized to analyze pertinent data. A plethora of comprehensive studies have been conducted to ascertain whether other eco-friendly and cost-effective materials, such as Zinc Selenide (ZnSe), Zinc Sulfide (ZnS), Cadmium Selenide (CdSe), and Indium Sulfide (In283), could effectively replace the CdS (buffer) layer in CIGS solar cells. The findings indicate that when CdS and ZnSe are implemented as buffer layers, the photovoltaic cells exhibit superior performance efficiency metrics. The SCAPS-ID simulations demonstrate that optimal p-njunction device efficiency parameters are achieved when the CIGS (absorber) layer thickness spans between 1200 and 1500 nm, the ZnSe (buffer) layer thickness varies from 20 to 60 nm, and the thickness of the Aluminum-doped Zinc Oxide (ZnO:Al) (window) layer measures 25 nm.","PeriodicalId":431920,"journal":{"name":"2023 8th International Engineering Conference on Renewable Energy & Sustainability (ieCRES)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132978543","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 : 2023-05-08DOI: 10.1109/ieCRES57315.2023.10209521
Mohammad A. Eteriki, W. El-Osta, Y. Nassar, H. J. Khozondar
The energy consumption in a household with traditional home appliances was analyzed and compared with the energy consumption using market-available energy-saving equipment in order to assess the energy efficiency potential in improving home appliances. Energy consumption from the two scenarios was compared, and emission savings was evaluated. RETSCREEN software was used to validate the findings. Money-saving calculations were conducted for this household and generalized to the entire country, emission savings were calculated, as well as total energy savings in barrels of oil equivalent, the obstacles and motivations were identified. Various policies and strategies to promote energy efficiency in home appliances were proposed.
{"title":"Effect of Implementation of Energy Efficiency in Residential Sector in Libya","authors":"Mohammad A. Eteriki, W. El-Osta, Y. Nassar, H. J. Khozondar","doi":"10.1109/ieCRES57315.2023.10209521","DOIUrl":"https://doi.org/10.1109/ieCRES57315.2023.10209521","url":null,"abstract":"The energy consumption in a household with traditional home appliances was analyzed and compared with the energy consumption using market-available energy-saving equipment in order to assess the energy efficiency potential in improving home appliances. Energy consumption from the two scenarios was compared, and emission savings was evaluated. RETSCREEN software was used to validate the findings. Money-saving calculations were conducted for this household and generalized to the entire country, emission savings were calculated, as well as total energy savings in barrels of oil equivalent, the obstacles and motivations were identified. Various policies and strategies to promote energy efficiency in home appliances were proposed.","PeriodicalId":431920,"journal":{"name":"2023 8th International Engineering Conference on Renewable Energy & Sustainability (ieCRES)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130998669","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 : 2023-05-08DOI: 10.1109/ieCRES57315.2023.10209454
Abu Nayem Md. Noman, Md Mahmud Hassan Sohan, Md Sakib Khan
Several fault classification-based protection methods may occasionally malfunction due to a variety of undesirable phenomena that occur in the transformer. It is crucial to differentiate between internal faults and external abnormal conditions in order to safeguard a power transformer in its entirety. The only approach to ensure unit transformer protection is through the detection of faults within power transformers. Existing relays malfunction under exceptional circumstances such as magnetizing inrush, current transformer (CT) saturation, and high resistance internal fault conditions. Therefore, it is crucial to distinguish between the internal fault and the external abnormality or fault in the scheme of transformer protection. In this study, a novel cumulative distribution transformation (CDT)-based scheme for classifying internal power transformer faults is presented. Power transformers, the indirect symmetrical phase angle regulators (ISPAR) series, and ISPAR exciting units are used to create internal faults. 13 different categories of faults are classified after the processing and analysis of 88,128 internal fault cases. Singular value decomposition (SVD) is used after CDT dataset extraction and cross-validation, and faults are identified employing a confusion matrix. The procedure was performed utilizing Matlab® 2018a, which resulted in a 96.66% overall accuracy with reduced computing time and noise reduction.
{"title":"Power Transformer Fault Classification Based On Cumulative Distribution Transformation Utilizing Singular Value Decomposition","authors":"Abu Nayem Md. Noman, Md Mahmud Hassan Sohan, Md Sakib Khan","doi":"10.1109/ieCRES57315.2023.10209454","DOIUrl":"https://doi.org/10.1109/ieCRES57315.2023.10209454","url":null,"abstract":"Several fault classification-based protection methods may occasionally malfunction due to a variety of undesirable phenomena that occur in the transformer. It is crucial to differentiate between internal faults and external abnormal conditions in order to safeguard a power transformer in its entirety. The only approach to ensure unit transformer protection is through the detection of faults within power transformers. Existing relays malfunction under exceptional circumstances such as magnetizing inrush, current transformer (CT) saturation, and high resistance internal fault conditions. Therefore, it is crucial to distinguish between the internal fault and the external abnormality or fault in the scheme of transformer protection. In this study, a novel cumulative distribution transformation (CDT)-based scheme for classifying internal power transformer faults is presented. Power transformers, the indirect symmetrical phase angle regulators (ISPAR) series, and ISPAR exciting units are used to create internal faults. 13 different categories of faults are classified after the processing and analysis of 88,128 internal fault cases. Singular value decomposition (SVD) is used after CDT dataset extraction and cross-validation, and faults are identified employing a confusion matrix. The procedure was performed utilizing Matlab® 2018a, which resulted in a 96.66% overall accuracy with reduced computing time and noise reduction.","PeriodicalId":431920,"journal":{"name":"2023 8th International Engineering Conference on Renewable Energy & Sustainability (ieCRES)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129808991","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 : 2023-05-08DOI: 10.1109/ieCRES57315.2023.10209466
T. M. Alnajar, H. Al-Najar, Wessam Almadhoun
The Israeli invasions prompted the development of this study, which aimed to investigate the potential for water management problems in the Gaza Strip. This research is closely connected to the requirements that are specified in the emergency plan for the water sector in the Gaza Strip, which is designed for use during times of conflict. Another method to better prepare for shocks, such as those that may occur before, during, or after an emergency, is to take immediate action. As a result, the purpose of this research is to develop an up-to-date emergency plan that will allow for the most effective administration of the water sector during times of crisis. Taking into consideration Israel’s invasion of the Gaza Strip earlier 2021 and 2022, the significance of this study can be traced back to the fact that it addressed one of the most pressing issues, which in turn serves to save the lives of residents and supports one of the most important industries (the water sector). The study proposes a solution that can be implemented as a basic system for managing water supplies in the event of an emergency, in addition to other elements that support the management process, some of which are aligned with existing plans. The proposed solution can be applied in the case of an emergency, such as the Israeli aggression on the Gaza Strip. The most fundamental title that summarizes this study is “decentralized supplies The research will contribute to the development of an up-to-date emergency plan for the effective management of the water supply in the Gaza Strip, in the event of Israeli aggression. It will provide decision-makers with valuable instructions based on appropriate scientific methodology, to direct international organizations in carrying out better interventions aimed at enhancing and improving the water situation in the region. Professionals in the field of disaster management, as well as those interested in water concerns, will also benefit from this study.
{"title":"Appropriate Water Supply Management Considering the Israeli Invasions of the Gaza Strip","authors":"T. M. Alnajar, H. Al-Najar, Wessam Almadhoun","doi":"10.1109/ieCRES57315.2023.10209466","DOIUrl":"https://doi.org/10.1109/ieCRES57315.2023.10209466","url":null,"abstract":"The Israeli invasions prompted the development of this study, which aimed to investigate the potential for water management problems in the Gaza Strip. This research is closely connected to the requirements that are specified in the emergency plan for the water sector in the Gaza Strip, which is designed for use during times of conflict. Another method to better prepare for shocks, such as those that may occur before, during, or after an emergency, is to take immediate action. As a result, the purpose of this research is to develop an up-to-date emergency plan that will allow for the most effective administration of the water sector during times of crisis. Taking into consideration Israel’s invasion of the Gaza Strip earlier 2021 and 2022, the significance of this study can be traced back to the fact that it addressed one of the most pressing issues, which in turn serves to save the lives of residents and supports one of the most important industries (the water sector). The study proposes a solution that can be implemented as a basic system for managing water supplies in the event of an emergency, in addition to other elements that support the management process, some of which are aligned with existing plans. The proposed solution can be applied in the case of an emergency, such as the Israeli aggression on the Gaza Strip. The most fundamental title that summarizes this study is “decentralized supplies The research will contribute to the development of an up-to-date emergency plan for the effective management of the water supply in the Gaza Strip, in the event of Israeli aggression. It will provide decision-makers with valuable instructions based on appropriate scientific methodology, to direct international organizations in carrying out better interventions aimed at enhancing and improving the water situation in the region. Professionals in the field of disaster management, as well as those interested in water concerns, will also benefit from this study.","PeriodicalId":431920,"journal":{"name":"2023 8th International Engineering Conference on Renewable Energy & Sustainability (ieCRES)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127497060","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 : 2023-05-08DOI: 10.1109/ieCRES57315.2023.10209469
Hanan Abu-Mariah, W. Ashour
The Moving object detection as a problem in computer vision, has the attention of researchers for its need of different applications. Event cameras are used to support moving object detection missions depending on the event camera efficiently capturing the events of moving objects compared to classic cameras. In this paper, we proposed a model that used a clustering algorithm as a machine learning approach to help detect moving objects that were captured using an event camera. The proposed model used Hierarchical clustering algorithm called “Agglomerative” and compared to partitioning and density-based clustering algorithms for the mission of detecting moving objects. Moreover, the model shows better results compared to others in previous studies with “92.07” F1-score as a performance measure.
{"title":"Moving Object Detection Based on Clustering and Event-Based Camera","authors":"Hanan Abu-Mariah, W. Ashour","doi":"10.1109/ieCRES57315.2023.10209469","DOIUrl":"https://doi.org/10.1109/ieCRES57315.2023.10209469","url":null,"abstract":"The Moving object detection as a problem in computer vision, has the attention of researchers for its need of different applications. Event cameras are used to support moving object detection missions depending on the event camera efficiently capturing the events of moving objects compared to classic cameras. In this paper, we proposed a model that used a clustering algorithm as a machine learning approach to help detect moving objects that were captured using an event camera. The proposed model used Hierarchical clustering algorithm called “Agglomerative” and compared to partitioning and density-based clustering algorithms for the mission of detecting moving objects. Moreover, the model shows better results compared to others in previous studies with “92.07” F1-score as a performance measure.","PeriodicalId":431920,"journal":{"name":"2023 8th International Engineering Conference on Renewable Energy & Sustainability (ieCRES)","volume":"180 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113999717","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 : 2023-05-08DOI: 10.1109/ieCRES57315.2023.10209547
Y. Nassar, H. J. Khozondar, Nasser M. Abouhmod, A. AbuBaker, A. Ahmed, Abdulgader Alsharif, M. Khaleel, Mohamed Elnaggar, R. El-Khozondar
The present study presents a regression function for optimum tilt angle for fixed mode flat-plate solar harvesters suitable for different locations in Libya, sky conditions and albedo values. The research based on 14 years -15 minutes time series solar irradiation components which provided by Solargis database platform for 24 different locations in Libya, based on the contract signed between the Solargis Company and Wadi AlShatti University. Several transposition models are applied - corresponding to each location - for estimating the tilted global solar irradiance components according to recommendation of a local recent study. The proposed model corrects the optimum tilt angle by involving the three components of the solar irradiation: direct beam, sky-diffused and ground reflected solar irradiances. The results proved the applicability and reliability of the obtained regression model. In addition, results showed the high potential of the proposed model for use in engineering design, eco-energetic analysis and optimum design processes.
{"title":"Regression Model for Optimum Solar Collectors’ Tilt Angles in Libya","authors":"Y. Nassar, H. J. Khozondar, Nasser M. Abouhmod, A. AbuBaker, A. Ahmed, Abdulgader Alsharif, M. Khaleel, Mohamed Elnaggar, R. El-Khozondar","doi":"10.1109/ieCRES57315.2023.10209547","DOIUrl":"https://doi.org/10.1109/ieCRES57315.2023.10209547","url":null,"abstract":"The present study presents a regression function for optimum tilt angle for fixed mode flat-plate solar harvesters suitable for different locations in Libya, sky conditions and albedo values. The research based on 14 years -15 minutes time series solar irradiation components which provided by Solargis database platform for 24 different locations in Libya, based on the contract signed between the Solargis Company and Wadi AlShatti University. Several transposition models are applied - corresponding to each location - for estimating the tilted global solar irradiance components according to recommendation of a local recent study. The proposed model corrects the optimum tilt angle by involving the three components of the solar irradiation: direct beam, sky-diffused and ground reflected solar irradiances. The results proved the applicability and reliability of the obtained regression model. In addition, results showed the high potential of the proposed model for use in engineering design, eco-energetic analysis and optimum design processes.","PeriodicalId":431920,"journal":{"name":"2023 8th International Engineering Conference on Renewable Energy & Sustainability (ieCRES)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114449247","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 : 2023-05-08DOI: 10.1109/iecres57315.2023.10209480
M. Shabat, G. Zoppi
The present paper deals with the perovskite-based solar cell with graphene derivatives as n-graphene, pgraphene, and graphene oxide. n- graphene, and $mathrm{ZnO}-mathrm{Al}$ as electron Transport layer (ETL) and p-graphene, graphene oxide, and p-type silicon as hole Transport Layer (HTL) have been examined and investigated by using SCAPA Simulation Package. The designed solar cell has been optimized by varying parameters such as perovskite layer thickness, temperature, and work function of the left contact of the structure. A comparison between the performance of some graphene types as HTL and ETL has also been simulated, displayed, and discussed.
{"title":"Simulation on the perovskite-based solar cell with graphene derivative","authors":"M. Shabat, G. Zoppi","doi":"10.1109/iecres57315.2023.10209480","DOIUrl":"https://doi.org/10.1109/iecres57315.2023.10209480","url":null,"abstract":"The present paper deals with the perovskite-based solar cell with graphene derivatives as n-graphene, pgraphene, and graphene oxide. n- graphene, and $mathrm{ZnO}-mathrm{Al}$ as electron Transport layer (ETL) and p-graphene, graphene oxide, and p-type silicon as hole Transport Layer (HTL) have been examined and investigated by using SCAPA Simulation Package. The designed solar cell has been optimized by varying parameters such as perovskite layer thickness, temperature, and work function of the left contact of the structure. A comparison between the performance of some graphene types as HTL and ETL has also been simulated, displayed, and discussed.","PeriodicalId":431920,"journal":{"name":"2023 8th International Engineering Conference on Renewable Energy & Sustainability (ieCRES)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116281116","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 : 2023-05-08DOI: 10.1109/ieCRES57315.2023.10209508
Aiman AbuSamra, Abeer Ashour, Mai Ghazal, Jehad Aldahdooh, Raghad Abuarja
Managing traffic congestion is crucial for improving mobility, reducing fuel consumption, and mitigating environmental impacts in urban areas. To address this challenge, we present a novel framework named TCP-ACO for detecting traffic congestion that classifies congestion into three distinct types: expected, unexpected, and real-time. The framework utilizes data from various sources, including databases, Ant colony optimization (ACO) systems, and computer vision techniques, to precisely detect and handle traffic congestion. Expected congestion is identified by analyzing historical traffic data and scheduled events, while unexpected congestion is detected by leveraging real-time data from ACO systems. Real-time congestion is detected by employing computer vision techniques, such as analyzing video footage from cameras or drones. The proposed framework has the potential, by recognizing and managing various types of congestion, to improve traffic flow, shorten travel times, and decrease environmental impacts. Additionally, it also offers a precise and effective solution for traffic congestion detection, which is a crucial aspect of smart city traffic management systems. Our analysis shows that the ACO algorithm adapted in TCP-ACO is more effective in finding the shortest path between two cities (result obtained: 4.014) compared to the result obtained from the shortest path technique compounded with computer vision (which yields a score of 6.224 when the path is free). This indicates the effectiveness of the proposed framework in addressing the challenges of traffic congestion, offering a promising solution for smart city traffic management systems to improve mobility and reduce environmental impacts in urban areas.
{"title":"Traffic Congestion Prevention Using Ant Colony Optimization","authors":"Aiman AbuSamra, Abeer Ashour, Mai Ghazal, Jehad Aldahdooh, Raghad Abuarja","doi":"10.1109/ieCRES57315.2023.10209508","DOIUrl":"https://doi.org/10.1109/ieCRES57315.2023.10209508","url":null,"abstract":"Managing traffic congestion is crucial for improving mobility, reducing fuel consumption, and mitigating environmental impacts in urban areas. To address this challenge, we present a novel framework named TCP-ACO for detecting traffic congestion that classifies congestion into three distinct types: expected, unexpected, and real-time. The framework utilizes data from various sources, including databases, Ant colony optimization (ACO) systems, and computer vision techniques, to precisely detect and handle traffic congestion. Expected congestion is identified by analyzing historical traffic data and scheduled events, while unexpected congestion is detected by leveraging real-time data from ACO systems. Real-time congestion is detected by employing computer vision techniques, such as analyzing video footage from cameras or drones. The proposed framework has the potential, by recognizing and managing various types of congestion, to improve traffic flow, shorten travel times, and decrease environmental impacts. Additionally, it also offers a precise and effective solution for traffic congestion detection, which is a crucial aspect of smart city traffic management systems. Our analysis shows that the ACO algorithm adapted in TCP-ACO is more effective in finding the shortest path between two cities (result obtained: 4.014) compared to the result obtained from the shortest path technique compounded with computer vision (which yields a score of 6.224 when the path is free). This indicates the effectiveness of the proposed framework in addressing the challenges of traffic congestion, offering a promising solution for smart city traffic management systems to improve mobility and reduce environmental impacts in urban areas.","PeriodicalId":431920,"journal":{"name":"2023 8th International Engineering Conference on Renewable Energy & Sustainability (ieCRES)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123353755","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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