Pub Date : 2021-06-12DOI: 10.1109/ICECCE52056.2021.9514156
Gama Ali, H. Aly, T. Little
The concern on dependence on fossil fuels and their environmental impact is increasing recently. This led to more research in alternative energies to reduce the reliance on fossil fuels and to protect the environment. There are two strategies that can be applied to reduce dependence on fossil fuel. Firstly, reducing energy consumption by applying energy savings programs. And secondly, using renewable energy sources. In this paper, HOMER pro. software is applied to investigate, analyse, size, and give the optimum solution for a standalone hybrid power system to supply power to a convention center in Sabratha, Libya.
{"title":"Using HOMER software to investigate, size and apply renewable energy sources in a convention center in Sabratha, Libya","authors":"Gama Ali, H. Aly, T. Little","doi":"10.1109/ICECCE52056.2021.9514156","DOIUrl":"https://doi.org/10.1109/ICECCE52056.2021.9514156","url":null,"abstract":"The concern on dependence on fossil fuels and their environmental impact is increasing recently. This led to more research in alternative energies to reduce the reliance on fossil fuels and to protect the environment. There are two strategies that can be applied to reduce dependence on fossil fuel. Firstly, reducing energy consumption by applying energy savings programs. And secondly, using renewable energy sources. In this paper, HOMER pro. software is applied to investigate, analyse, size, and give the optimum solution for a standalone hybrid power system to supply power to a convention center in Sabratha, Libya.","PeriodicalId":302947,"journal":{"name":"2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126741964","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 : 2021-06-12DOI: 10.1109/ICECCE52056.2021.9514136
B. G. Mahmoud, S. H. A. Abdel Aleem, M. Sayed
The rapid increase in the use of nonlinear loads that inject harmonics into electrical distribution systems causes many power quality problems. A practical method to mitigate harmonic distortion and improve the system's technical performance is optimal capacitor allocation. This method aims to get the best value of installed shunt capacitors and also the best location of them while putting the financial aspect into consideration. To accurately optimize these shunt capacitors' size and location, achieving the minimum annual cost and considering IEEE Std. 519™-2014 constraints in distorted systems, optimization problem formulation, is needed. In the literature, many studies discussed this problem. However, most of them formulated their optimization technique based on the fundamental load flow while assuming that the distribution system's loads are operating at sinusoidal conditions, leading to inaccurate analysis of the system and erroneous actions. In this paper, the decoupled harmonic power flow approach (DHPF) is considered the base of the optimization problem, in which the so-called sine-cosine algorithm (SCA) is employed in this work on an 18-bus system working at non-sinusoidal conditions. The results obtained have been compared to obtained results by other optimization techniques to verify the algorithm's effectiveness.
{"title":"Sine-Cosine Algorithm for Optimal Capacitor Allocation in Distribution Systems Operating Under Non-Sinusoidal Conditions","authors":"B. G. Mahmoud, S. H. A. Abdel Aleem, M. Sayed","doi":"10.1109/ICECCE52056.2021.9514136","DOIUrl":"https://doi.org/10.1109/ICECCE52056.2021.9514136","url":null,"abstract":"The rapid increase in the use of nonlinear loads that inject harmonics into electrical distribution systems causes many power quality problems. A practical method to mitigate harmonic distortion and improve the system's technical performance is optimal capacitor allocation. This method aims to get the best value of installed shunt capacitors and also the best location of them while putting the financial aspect into consideration. To accurately optimize these shunt capacitors' size and location, achieving the minimum annual cost and considering IEEE Std. 519™-2014 constraints in distorted systems, optimization problem formulation, is needed. In the literature, many studies discussed this problem. However, most of them formulated their optimization technique based on the fundamental load flow while assuming that the distribution system's loads are operating at sinusoidal conditions, leading to inaccurate analysis of the system and erroneous actions. In this paper, the decoupled harmonic power flow approach (DHPF) is considered the base of the optimization problem, in which the so-called sine-cosine algorithm (SCA) is employed in this work on an 18-bus system working at non-sinusoidal conditions. The results obtained have been compared to obtained results by other optimization techniques to verify the algorithm's effectiveness.","PeriodicalId":302947,"journal":{"name":"2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128753514","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 : 2021-06-12DOI: 10.1109/ICECCE52056.2021.9514209
N. A. N. Muhammad, U. Khairuddin, Rubiyah Yusof, Nik Mohamad Aizuddin Nik Azmi, Ridzuan Yunus
The halal food industry has a high demand in halal meat and poultry especially in Muslim countries. In order to slaughter a chicken according to the Islamic Law, it is required to sever the trachea, esophagus and both the carotid arteries and jugular veins to accelerate the chicken's bleeding and death. Syariah Compliance Automated Chicken Processing System (SYCUT) uses the Vision Inspection Technology which is built for the purpose of detecting and classifying whether a chicken is halal or not. The previous work on the system faced a few challenges regarding the image conditions which negatively affected the detection results. This paper discusses the possibility of deep learning approach to combat the challenges and its potential for esophagus detection. The deep learning model used is RetinaN et-MaskRCNN with ResNet50 as the backbone. The evaluation of the trained model yields 92.8% mean average precision (mAP) which performs better than the previous work. The model has a high recall value but a low precision value due to multi-detections.
{"title":"Esophagus Detection Using Deep Learning Method","authors":"N. A. N. Muhammad, U. Khairuddin, Rubiyah Yusof, Nik Mohamad Aizuddin Nik Azmi, Ridzuan Yunus","doi":"10.1109/ICECCE52056.2021.9514209","DOIUrl":"https://doi.org/10.1109/ICECCE52056.2021.9514209","url":null,"abstract":"The halal food industry has a high demand in halal meat and poultry especially in Muslim countries. In order to slaughter a chicken according to the Islamic Law, it is required to sever the trachea, esophagus and both the carotid arteries and jugular veins to accelerate the chicken's bleeding and death. Syariah Compliance Automated Chicken Processing System (SYCUT) uses the Vision Inspection Technology which is built for the purpose of detecting and classifying whether a chicken is halal or not. The previous work on the system faced a few challenges regarding the image conditions which negatively affected the detection results. This paper discusses the possibility of deep learning approach to combat the challenges and its potential for esophagus detection. The deep learning model used is RetinaN et-MaskRCNN with ResNet50 as the backbone. The evaluation of the trained model yields 92.8% mean average precision (mAP) which performs better than the previous work. The model has a high recall value but a low precision value due to multi-detections.","PeriodicalId":302947,"journal":{"name":"2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"34 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132609131","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 : 2021-06-12DOI: 10.1109/ICECCE52056.2021.9514115
Hafizza Abdul Ghapar, U. Khairuddin, Rubiyah Yusof, A. S. M. Khairuddin, Azlin Ahmad
A key to wood identification is the distinguishable features found on the cross-sectional surface of each tree species. The surface pattern on the wood cross-section may look very similar to non-experts. However, trained experts may identify wood species based on distinct and discriminant features of the pattern. An automatic wood recognition system based on machine vision to emulate the experts, the KenalKayu has been developed with high classification accuracy. Unfortunately, when more wood species were added into the system's database, the accuracy of the system reduced. It is important for the system to have a customized feature extractor solely for wood pattern such as the statistical properties of pores distribution (SPPD) which has been proven to increase the system's accuracy. As the wood surface pattern is not only defined by pores, but lines as well, this paper presented additional new feature extraction method based on statistical properties of line distribution (SPLD) to capture the discriminant line features of each species. When used alone as feature extractor, the SPLD managed to get 88% accuracy, and the number increases to 99.5% when combined with SPPD features and 100% when combined with both SPPD and Basic Grey Level Aura Matrix features. It shows that the SPLD is an essential customized feature extractor for wood identification purposes.
{"title":"New Feature Extraction for Wood Species Recognition System via Statistical Properties of Line Distribution","authors":"Hafizza Abdul Ghapar, U. Khairuddin, Rubiyah Yusof, A. S. M. Khairuddin, Azlin Ahmad","doi":"10.1109/ICECCE52056.2021.9514115","DOIUrl":"https://doi.org/10.1109/ICECCE52056.2021.9514115","url":null,"abstract":"A key to wood identification is the distinguishable features found on the cross-sectional surface of each tree species. The surface pattern on the wood cross-section may look very similar to non-experts. However, trained experts may identify wood species based on distinct and discriminant features of the pattern. An automatic wood recognition system based on machine vision to emulate the experts, the KenalKayu has been developed with high classification accuracy. Unfortunately, when more wood species were added into the system's database, the accuracy of the system reduced. It is important for the system to have a customized feature extractor solely for wood pattern such as the statistical properties of pores distribution (SPPD) which has been proven to increase the system's accuracy. As the wood surface pattern is not only defined by pores, but lines as well, this paper presented additional new feature extraction method based on statistical properties of line distribution (SPLD) to capture the discriminant line features of each species. When used alone as feature extractor, the SPLD managed to get 88% accuracy, and the number increases to 99.5% when combined with SPPD features and 100% when combined with both SPPD and Basic Grey Level Aura Matrix features. It shows that the SPLD is an essential customized feature extractor for wood identification purposes.","PeriodicalId":302947,"journal":{"name":"2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130433124","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 : 2021-06-12DOI: 10.1109/ICECCE52056.2021.9514183
Fabliha Ahmed, T. Aziz
In a power system, fast voltage recovery plays an important role to keep the distributed generator (DG) connected to the system. Specially, it is more challenging in an industrial microgrid, where there is a large number of motors operating simultaneously. In this regard, placement of dynamic VAR sources can facilitate faster voltage recovery under post-fault scenarios. In this paper, trajectory sensitivity index (TSI) is used for finding optimal location of static synchronous compensator (STATCOM) for accelerating fault induced delayed voltage recovery (FIDVR). Simulation results demonstrate that STATCOM placement based on TSI ranking can quickly recover the post-fault voltage of DG units in the system.
{"title":"A Trajectory Sensitivity Index Based Approach to Accelerate Post-Fault Voltage Recovery in Microgrid","authors":"Fabliha Ahmed, T. Aziz","doi":"10.1109/ICECCE52056.2021.9514183","DOIUrl":"https://doi.org/10.1109/ICECCE52056.2021.9514183","url":null,"abstract":"In a power system, fast voltage recovery plays an important role to keep the distributed generator (DG) connected to the system. Specially, it is more challenging in an industrial microgrid, where there is a large number of motors operating simultaneously. In this regard, placement of dynamic VAR sources can facilitate faster voltage recovery under post-fault scenarios. In this paper, trajectory sensitivity index (TSI) is used for finding optimal location of static synchronous compensator (STATCOM) for accelerating fault induced delayed voltage recovery (FIDVR). Simulation results demonstrate that STATCOM placement based on TSI ranking can quickly recover the post-fault voltage of DG units in the system.","PeriodicalId":302947,"journal":{"name":"2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130787805","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 : 2021-06-12DOI: 10.1109/ICECCE52056.2021.9514240
K. Hamid, M. A. Bakar, A. Jalar, A. H. Badarisman
The semiconductor packaging industry driven by packaging complexity and product miniaturization. Hence, the problem identification methodology in semiconductor industries is a critical interest, and a basis of continuous improvement where the lesson learned is an integral part of it. Nevertheless, the problem identification approach is stagnant at the traditional method, such as the statistical-based methodology. There are several studies on the problem identification process in semiconductor through the six-sigma methodology and statistical approach, however, the scope is limited to the inferential statistic. Therefore, the focus of this paper is proposing using big data approach which grounded on the information theory. The big data analysis approach is utilizing the algorithm and data visualization. Big data methods, such as MINE and clustering was applied to data from hundreds of variables that contain essential and undiscovered relationship. The big data analysis enables the potential factors that contributed to the root causes and provided significant input to the design of experiment and reliability analysis.
{"title":"Incorporation of Big Data in Methodology of Identifying Corrosion Factors in the Semiconductor Package","authors":"K. Hamid, M. A. Bakar, A. Jalar, A. H. Badarisman","doi":"10.1109/ICECCE52056.2021.9514240","DOIUrl":"https://doi.org/10.1109/ICECCE52056.2021.9514240","url":null,"abstract":"The semiconductor packaging industry driven by packaging complexity and product miniaturization. Hence, the problem identification methodology in semiconductor industries is a critical interest, and a basis of continuous improvement where the lesson learned is an integral part of it. Nevertheless, the problem identification approach is stagnant at the traditional method, such as the statistical-based methodology. There are several studies on the problem identification process in semiconductor through the six-sigma methodology and statistical approach, however, the scope is limited to the inferential statistic. Therefore, the focus of this paper is proposing using big data approach which grounded on the information theory. The big data analysis approach is utilizing the algorithm and data visualization. Big data methods, such as MINE and clustering was applied to data from hundreds of variables that contain essential and undiscovered relationship. The big data analysis enables the potential factors that contributed to the root causes and provided significant input to the design of experiment and reliability analysis.","PeriodicalId":302947,"journal":{"name":"2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"26 Suppl 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131453617","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 : 2021-06-12DOI: 10.1109/ICECCE52056.2021.9514217
Oliver Niebuhr, Anna Gutnyk
Anchored in the field of communication engineering or, more specifically, pronunciation engineering and with the aim of evaluating and training public speaking performances, we apply a new device called the MARRYS cap. Using two transducer belts along the speaker's cheeks, the cap can measure articulatory details of jaw lowering and relate them to a time-aligned recording of acoustic charisma features. By linking the speech-production results of 14 speakers to speech-perception results of 34 listeners, the present paper provides, for the first time, empirical evidence for correlations between articulatory dimensions (of jaw lowering) and speaker charisma. Besides the practical implications of our findings, we discuss whether these correlations are direct or just reflect acoustic features that are indirectly (and not inevitably) related to the speaker's jaw movement patterns.
{"title":"Pronunciation engineering: Investigating the link between jaw-movement patterns and perceived speaker charisma using the MARRYS cap","authors":"Oliver Niebuhr, Anna Gutnyk","doi":"10.1109/ICECCE52056.2021.9514217","DOIUrl":"https://doi.org/10.1109/ICECCE52056.2021.9514217","url":null,"abstract":"Anchored in the field of communication engineering or, more specifically, pronunciation engineering and with the aim of evaluating and training public speaking performances, we apply a new device called the MARRYS cap. Using two transducer belts along the speaker's cheeks, the cap can measure articulatory details of jaw lowering and relate them to a time-aligned recording of acoustic charisma features. By linking the speech-production results of 14 speakers to speech-perception results of 34 listeners, the present paper provides, for the first time, empirical evidence for correlations between articulatory dimensions (of jaw lowering) and speaker charisma. Besides the practical implications of our findings, we discuss whether these correlations are direct or just reflect acoustic features that are indirectly (and not inevitably) related to the speaker's jaw movement patterns.","PeriodicalId":302947,"journal":{"name":"2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131566258","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 : 2021-06-12DOI: 10.1109/ICECCE52056.2021.9514269
Fatima Zahra EL Bouni, Tareq El Hariri, Chaime Zouitni, Ilham Ben Bahva, Hafida El Aboui, Aziza El ouaazizi
The birdwatchers and pepole admiring the beauty of birds search in the books and the encyclopedias to identify species and provide information that characterizes eash bird but this solusion is not pratical, we proposed to develope an android platform named Birds Predictor to assist users in recognizing about 30 species of endemic birds in the world. Bird images are injected in a convolutional neural network (CNN) to localize prominent features. First, we create an image generator for the training data. Then, we load training images. After that, we create a neural network and the convolutional layer. Finally, we load the unknown bird image and applied the argmax function to get a probability of bird features. To identify the images downloaded or captured by mobile users the results of the parameters learned from the characteristics of the birds are used. For the Mobile Application we use IBM Cloud that offers the possibility to store a lot of data and trains it using the visual recognition service, then we send the image that we want to predict its type from our android application. We just connect the IBM project that contains the training images with our Android Studio project using an API Key, and IBM process classifies the image captured or uploaded from the application and returned the type of bird.
{"title":"Bird image recognition and classification using Watson visual recognition services from IBMCloud and Conventional Neural Network (CNN)","authors":"Fatima Zahra EL Bouni, Tareq El Hariri, Chaime Zouitni, Ilham Ben Bahva, Hafida El Aboui, Aziza El ouaazizi","doi":"10.1109/ICECCE52056.2021.9514269","DOIUrl":"https://doi.org/10.1109/ICECCE52056.2021.9514269","url":null,"abstract":"The birdwatchers and pepole admiring the beauty of birds search in the books and the encyclopedias to identify species and provide information that characterizes eash bird but this solusion is not pratical, we proposed to develope an android platform named Birds Predictor to assist users in recognizing about 30 species of endemic birds in the world. Bird images are injected in a convolutional neural network (CNN) to localize prominent features. First, we create an image generator for the training data. Then, we load training images. After that, we create a neural network and the convolutional layer. Finally, we load the unknown bird image and applied the argmax function to get a probability of bird features. To identify the images downloaded or captured by mobile users the results of the parameters learned from the characteristics of the birds are used. For the Mobile Application we use IBM Cloud that offers the possibility to store a lot of data and trains it using the visual recognition service, then we send the image that we want to predict its type from our android application. We just connect the IBM project that contains the training images with our Android Studio project using an API Key, and IBM process classifies the image captured or uploaded from the application and returned the type of bird.","PeriodicalId":302947,"journal":{"name":"2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131909468","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 : 2021-06-12DOI: 10.1109/ICECCE52056.2021.9514207
O. Bobrov, V. Kuznetsov, O. Romanovskyi, D. Tsyplenkov, Vitaliy Kuznetsov, O. Ostapchuk, P. Hubskyi
Increasing the energy efficiency of the system “electrical network - compressor - pneumatic network” in general can be achieved by performing a “floating” upper level of pressure. The optimal parameters of the mathematical model that allow to determine the optimum operating mode of the compressed air production and distribution system consisting of the following elements “electric network - drive - compressor - pneumatic network” are substantiated in the work. The intervals of the pump pumping-down cycle in the pneumonetwork are determined at a fixed value of compressed air consumption, and the dependence of the optimum efficiency on the compressed air consumption consumed by the compressed air receivers is determined.
{"title":"Optimum parameters of electromechanical system model “electrical grid-drive-compressor-pneumatic network”","authors":"O. Bobrov, V. Kuznetsov, O. Romanovskyi, D. Tsyplenkov, Vitaliy Kuznetsov, O. Ostapchuk, P. Hubskyi","doi":"10.1109/ICECCE52056.2021.9514207","DOIUrl":"https://doi.org/10.1109/ICECCE52056.2021.9514207","url":null,"abstract":"Increasing the energy efficiency of the system “electrical network - compressor - pneumatic network” in general can be achieved by performing a “floating” upper level of pressure. The optimal parameters of the mathematical model that allow to determine the optimum operating mode of the compressed air production and distribution system consisting of the following elements “electric network - drive - compressor - pneumatic network” are substantiated in the work. The intervals of the pump pumping-down cycle in the pneumonetwork are determined at a fixed value of compressed air consumption, and the dependence of the optimum efficiency on the compressed air consumption consumed by the compressed air receivers is determined.","PeriodicalId":302947,"journal":{"name":"2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122633579","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 : 2021-06-12DOI: 10.1109/ICECCE52056.2021.9514072
Dewan Mahnaaz Mahmud, Fardeen Mahbub, Farhan Tasnim, MD. Zilan Uddin Saif, Siam Hasan Khan
The global desideratum of electricity has been uprising rapidly with time in developing countries like Bangladesh. In Bangladesh, as the percentage of renewable energy usage is only 3 % of the total energy ratio, the Ministry of Bangladesh has already undertaken a Master plan for an escalation in this sector. Solar Power is the leading renewable source of electricity in Bangladesh, with a potential of 22,787 MW. Besides, Biomass is also one of the prominent sources because of its rural nature. In this paper, we have canvassed these two dominant renewable energy sources of Bangladesh, having the vast potentiality to lead the country's energy sector. The present scenario of these sources in our country with the resumed potential is portrayed in both cases. This paper will be deducing the available latent scopes of Solar and Biomass, including the current status of the sources and the proposed undertaking plans to enroot an accelerated advancement in this sector.
{"title":"A Review on Solar and Biomass Energy for Overcoming the Energy Scarcity of Bangladesh and its Prospects","authors":"Dewan Mahnaaz Mahmud, Fardeen Mahbub, Farhan Tasnim, MD. Zilan Uddin Saif, Siam Hasan Khan","doi":"10.1109/ICECCE52056.2021.9514072","DOIUrl":"https://doi.org/10.1109/ICECCE52056.2021.9514072","url":null,"abstract":"The global desideratum of electricity has been uprising rapidly with time in developing countries like Bangladesh. In Bangladesh, as the percentage of renewable energy usage is only 3 % of the total energy ratio, the Ministry of Bangladesh has already undertaken a Master plan for an escalation in this sector. Solar Power is the leading renewable source of electricity in Bangladesh, with a potential of 22,787 MW. Besides, Biomass is also one of the prominent sources because of its rural nature. In this paper, we have canvassed these two dominant renewable energy sources of Bangladesh, having the vast potentiality to lead the country's energy sector. The present scenario of these sources in our country with the resumed potential is portrayed in both cases. This paper will be deducing the available latent scopes of Solar and Biomass, including the current status of the sources and the proposed undertaking plans to enroot an accelerated advancement in this sector.","PeriodicalId":302947,"journal":{"name":"2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121152709","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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