Pub Date : 2021-01-01DOI: 10.18178/ijeetc.10.5.319-332
M. Khaleel, M. Adzman, S. M. Zali, M. Graisa, A. Ahmed
Today, the worldwide public interest in reducing power quality issues and greenhouse gas emissions is a key driver to study fuel cells (FCs) connected to distribution network systems (DNs) based on distributed flexible alternating-current transmission systems (D-FACTS). DNs will need to develop a better performance on Power Quality (PQ) while providing a more efficient energy technology. This study reviewed in-depth the interface of DN to FC systems. By focusing on the FC interface and the associated technical challenges, this review may help reduce the risk of DNs, minimizing the consumption of fossil fuels for power generation, lowering the emission of hazardous gases while dramatically increasing electrical power loads, improving PQ and stability. Besides, the study deliberated aspects of FC power technology with DNs interfacing based on D-FACTS. Specifically, the discussion encompassed the configuration structures of FC power technology and DNs connection based on D-FACTS, technical challenges of DNs, and its trends to determine the diagnosis, integration, and optimization for FC power technology.
{"title":"A Review of Fuel Cell to Distribution Network Interface Using D-FACTS: Technical Challenges and Interconnection Trends","authors":"M. Khaleel, M. Adzman, S. M. Zali, M. Graisa, A. Ahmed","doi":"10.18178/ijeetc.10.5.319-332","DOIUrl":"https://doi.org/10.18178/ijeetc.10.5.319-332","url":null,"abstract":"Today, the worldwide public interest in reducing power quality issues and greenhouse gas emissions is a key driver to study fuel cells (FCs) connected to distribution network systems (DNs) based on distributed flexible alternating-current transmission systems (D-FACTS). DNs will need to develop a better performance on Power Quality (PQ) while providing a more efficient energy technology. This study reviewed in-depth the interface of DN to FC systems. By focusing on the FC interface and the associated technical challenges, this review may help reduce the risk of DNs, minimizing the consumption of fossil fuels for power generation, lowering the emission of hazardous gases while dramatically increasing electrical power loads, improving PQ and stability. Besides, the study deliberated aspects of FC power technology with DNs interfacing based on D-FACTS. Specifically, the discussion encompassed the configuration structures of FC power technology and DNs connection based on D-FACTS, technical challenges of DNs, and its trends to determine the diagnosis, integration, and optimization for FC power technology.","PeriodicalId":37533,"journal":{"name":"International Journal of Electrical and Electronic Engineering and Telecommunications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67721808","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 : 2021-01-01DOI: 10.18178/ijeetc.10.5.300-306
M. Rizwan, Yousef R. Alharbi
Short term load forecasting is one of the most important tools for smart energy management particularly in the planning and operation of large buildings. It assists in minimizing the energy losses as well as in maintenance scheduling for critical times. One of the widespread methods for load predicting is implemented by artificial intelligence techniques. In this research, fuzzy logic and artificial neural networks are utilized for short term load forecasting of selected feeders in one of the biggest buildings, Madina, Saudi Arabia. A high-quality measured data is collected from the selected locations and used here in training, testing and validation purposes. The performance of the models is evaluated on the basis of statistical indices such as an absolute relative error. Obtained results are compared with the high-quality measured data and it is found that the performance of the fuzzy logic model is found better as compared to artificial neural network model for the selected feeders.
{"title":"Artificial Intelligence Based Approach for Short Term Load Forecasting for Selected Feeders at Madina, Saudi Arabia","authors":"M. Rizwan, Yousef R. Alharbi","doi":"10.18178/ijeetc.10.5.300-306","DOIUrl":"https://doi.org/10.18178/ijeetc.10.5.300-306","url":null,"abstract":"Short term load forecasting is one of the most important tools for smart energy management particularly in the planning and operation of large buildings. It assists in minimizing the energy losses as well as in maintenance scheduling for critical times. One of the widespread methods for load predicting is implemented by artificial intelligence techniques. In this research, fuzzy logic and artificial neural networks are utilized for short term load forecasting of selected feeders in one of the biggest buildings, Madina, Saudi Arabia. A high-quality measured data is collected from the selected locations and used here in training, testing and validation purposes. The performance of the models is evaluated on the basis of statistical indices such as an absolute relative error. Obtained results are compared with the high-quality measured data and it is found that the performance of the fuzzy logic model is found better as compared to artificial neural network model for the selected feeders.","PeriodicalId":37533,"journal":{"name":"International Journal of Electrical and Electronic Engineering and Telecommunications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67722198","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 : 2021-01-01DOI: 10.18178/ijeetc.10.4.294-299
Masakazu Takahashi, Takuro Yasui, K. Muro
In the manufacturing industry, quality degradation due to a decrease in skilled operators possessing domain knowledge has become a problem. Digitalization using IoT technology has emerged as a means to tackle this problem. In the resistance welding process, welding quality fluctuates depending on aging of electrodes. Experienced operators adjust the welding voltage to keep the quality constant. As this knowledge is difficult to share, the success rate of voltage changes at the time of quality degradation tends not to be improved. Therefore, we developed an automatic voltage determination system that improves both quality and productivity by improving the success rate, which is one of the main measures. The system learns past sensor data and voltage change logs, determines the voltage according to input real-time sensor data, and sets the voltage for the welding machine. We propose three voltage determination methods: a similarity search method, a voltage prediction method using a regression model that outputs voltage, and a quality prediction and voltage search method that searches for the optimum voltage in a classification model to predict the success or failure of voltage changes. Our evaluation of these methods shows that the success rate improves by up to 12.4 percentage points compared to when the operators performed the process manually. This result demonstrates that we can achieve quality stabilization and productivity improvement by implementing our system in the welding process.
{"title":"Domain Knowledge-Based Automatic Voltage Determination System for Welding Machine","authors":"Masakazu Takahashi, Takuro Yasui, K. Muro","doi":"10.18178/ijeetc.10.4.294-299","DOIUrl":"https://doi.org/10.18178/ijeetc.10.4.294-299","url":null,"abstract":"In the manufacturing industry, quality degradation due to a decrease in skilled operators possessing domain knowledge has become a problem. Digitalization using IoT technology has emerged as a means to tackle this problem. In the resistance welding process, welding quality fluctuates depending on aging of electrodes. Experienced operators adjust the welding voltage to keep the quality constant. As this knowledge is difficult to share, the success rate of voltage changes at the time of quality degradation tends not to be improved. Therefore, we developed an automatic voltage determination system that improves both quality and productivity by improving the success rate, which is one of the main measures. The system learns past sensor data and voltage change logs, determines the voltage according to input real-time sensor data, and sets the voltage for the welding machine. We propose three voltage determination methods: a similarity search method, a voltage prediction method using a regression model that outputs voltage, and a quality prediction and voltage search method that searches for the optimum voltage in a classification model to predict the success or failure of voltage changes. Our evaluation of these methods shows that the success rate improves by up to 12.4 percentage points compared to when the operators performed the process manually. This result demonstrates that we can achieve quality stabilization and productivity improvement by implementing our system in the welding process.","PeriodicalId":37533,"journal":{"name":"International Journal of Electrical and Electronic Engineering and Telecommunications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67722183","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 : 2021-01-01DOI: 10.18178/ijeetc.10.4.272-282
H. Tun
Photoplethysmography (PPG) is a non-invasive technique that measures relative blood volume changes in the blood vessels close to the skin. This research work intends to design a real-time filtering system. There are two main parts in this heart rate detection system: the data-gathering portion and real-time processing. Both processing includes preprocessing and filtering in which PPG signals derive from the pulse sensor in the data-gathering stage. It filters from PPG signal in real-time processing. In the data-gathering stage, the PPG signal is first derived from the pulse sensor, and then it is preprocessed to remove noise and enhance the signal quality to collect the paired-pulse index (PPI). After the signal has been preprocessed, the PPI is extracted from the signal, and this signal with features is collected as a data point to give an input signal for Raspberry Pi to draw the heat rate plot. In this system implementation, the pulse sensor is used to detect the heart-beat information of blood stream. This computer-aided system may also help patients save their time being spent waiting for doctors’ decisions. Biomedical analysis, digital signal processing, image processing, and data analysis become important factors for the automatic diagnosis system.
{"title":"Photoplethysmography (PPG) Scheming System Based on Finite Impulse Response (FIR) Filter Design in Biomedical Applications","authors":"H. Tun","doi":"10.18178/ijeetc.10.4.272-282","DOIUrl":"https://doi.org/10.18178/ijeetc.10.4.272-282","url":null,"abstract":"Photoplethysmography (PPG) is a non-invasive technique that measures relative blood volume changes in the blood vessels close to the skin. This research work intends to design a real-time filtering system. There are two main parts in this heart rate detection system: the data-gathering portion and real-time processing. Both processing includes preprocessing and filtering in which PPG signals derive from the pulse sensor in the data-gathering stage. It filters from PPG signal in real-time processing. In the data-gathering stage, the PPG signal is first derived from the pulse sensor, and then it is preprocessed to remove noise and enhance the signal quality to collect the paired-pulse index (PPI). After the signal has been preprocessed, the PPI is extracted from the signal, and this signal with features is collected as a data point to give an input signal for Raspberry Pi to draw the heat rate plot. In this system implementation, the pulse sensor is used to detect the heart-beat information of blood stream. This computer-aided system may also help patients save their time being spent waiting for doctors’ decisions. Biomedical analysis, digital signal processing, image processing, and data analysis become important factors for the automatic diagnosis system.","PeriodicalId":37533,"journal":{"name":"International Journal of Electrical and Electronic Engineering and Telecommunications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67721738","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 : 2021-01-01DOI: 10.18178/ijeetc.10.5.362-368
Michael Hrelrison F. da Silva, Pyramo P. da Costa Jr.
Three-phase induction motors are widely used in industrial electric applications. To ensure their operability, efforts have been made mainly in the detection of rotor faults. This work aims to detect rotor faults in induction motors through of Motor Current Signature Analysis (MCSA) under locked rotor condition. In this configuration, the procedure is most suitable for drives where the motor operates intermittently, with a short operating stroke or variable speed. This paper proposes a methodology and presents a comparison of consolidated signal processing techniques such as Fast Fourier Transform (FFT), Discrete Wavelet Transform (DWT), and Discrete Hilbert Transform (DHT) applied on the conventional input currents and components of Park transformation in a case study. The objective is to define which of the techniques is the most robust in the process of identifying broken bars in the induction motor for the proposed methodology.
{"title":"Current Signature Analysis for Diagnostics in Motor Bars under Locked Rotor Condition","authors":"Michael Hrelrison F. da Silva, Pyramo P. da Costa Jr.","doi":"10.18178/ijeetc.10.5.362-368","DOIUrl":"https://doi.org/10.18178/ijeetc.10.5.362-368","url":null,"abstract":"Three-phase induction motors are widely used in industrial electric applications. To ensure their operability, efforts have been made mainly in the detection of rotor faults. This work aims to detect rotor faults in induction motors through of Motor Current Signature Analysis (MCSA) under locked rotor condition. In this configuration, the procedure is most suitable for drives where the motor operates intermittently, with a short operating stroke or variable speed. This paper proposes a methodology and presents a comparison of consolidated signal processing techniques such as Fast Fourier Transform (FFT), Discrete Wavelet Transform (DWT), and Discrete Hilbert Transform (DHT) applied on the conventional input currents and components of Park transformation in a case study. The objective is to define which of the techniques is the most robust in the process of identifying broken bars in the induction motor for the proposed methodology.","PeriodicalId":37533,"journal":{"name":"International Journal of Electrical and Electronic Engineering and Telecommunications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67721931","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 : 2021-01-01DOI: 10.18178/ijeetc.10.4.283-287
Kodai Kitagawa, Koji Matsumoto, Kensuke Iwanaga, Siti Anom Ahmad, Takayuki Nagasaki, Sota Nakano, M. Hida, Shogo Okamatsu, C. Wada
Because caregivers often experience lower back pain caused by lumbar load from patient handling, monitoring this load can help prevent pain. Erector spinae muscle activity, which is measured and monitored as lumbar load, is commonly measured by electromyography (EMG). However, EMG’s electrodes can cause skin irritation and be uncomfortable. Therefore, measuring muscle activity without electrodes is necessary. In this study, we propose a method for estimating erector spinae muscle activity using wearable sensors, specifically inertial and shoe-type force sensors. Inertial sensors measure acceleration and angular velocity of the trunk. Shoe-type force sensors measure vertical force of the feet. A regression model obtained from a machine learning algorithm can predict erector spinae muscle activity using inertial and force data. In our experiment, we evaluated the accuracy of our method by comparing sensor data with surface EMG data in patient handling. Results show that this method can measure erector spinae muscle activity with a small error (less than 5% maximal voluntary contractions) and a significantly high correlation with actual value (r = 0.891, p <0.05). In addition, a Bland-Altman plot showed no fixed and proportional errors. These findings indicate that our proposed method can accurately monitor the lumbar loads of caregivers.
由于护理人员经常经历由患者处理腰椎负荷引起的腰痛，监测这种负荷可以帮助预防疼痛。竖脊肌活动，这是测量和监测腰椎负荷，通常是通过肌电图(EMG)测量。然而，肌电图的电极会引起皮肤刺激和不舒服。因此，不使用电极测量肌肉活动是必要的。在这项研究中，我们提出了一种使用可穿戴传感器，特别是惯性和鞋型力传感器来估计竖肌脊柱肌肉活动的方法。惯性传感器测量躯干的加速度和角速度。鞋式力传感器测量脚的垂直力。从机器学习算法中获得的回归模型可以使用惯性和力数据预测竖脊肌活动。在我们的实验中，我们通过比较传感器数据和体表肌电图数据来评估我们方法的准确性。结果表明，该方法测量竖脊肌活动度误差小(最大自主收缩量小于5%)，与实际值具有显著的高相关性(r = 0.891, p <0.05)。此外，Bland-Altman图显示没有固定和比例误差。这些结果表明，我们提出的方法可以准确地监测照顾者的腰椎负荷。
{"title":"Measurement Method for Erector Spinae Muscle Activity during Patient Handling Using Inertial Sensor and Shoe-type Force Sensor","authors":"Kodai Kitagawa, Koji Matsumoto, Kensuke Iwanaga, Siti Anom Ahmad, Takayuki Nagasaki, Sota Nakano, M. Hida, Shogo Okamatsu, C. Wada","doi":"10.18178/ijeetc.10.4.283-287","DOIUrl":"https://doi.org/10.18178/ijeetc.10.4.283-287","url":null,"abstract":"Because caregivers often experience lower back pain caused by lumbar load from patient handling, monitoring this load can help prevent pain. Erector spinae muscle activity, which is measured and monitored as lumbar load, is commonly measured by electromyography (EMG). However, EMG’s electrodes can cause skin irritation and be uncomfortable. Therefore, measuring muscle activity without electrodes is necessary. In this study, we propose a method for estimating erector spinae muscle activity using wearable sensors, specifically inertial and shoe-type force sensors. Inertial sensors measure acceleration and angular velocity of the trunk. Shoe-type force sensors measure vertical force of the feet. A regression model obtained from a machine learning algorithm can predict erector spinae muscle activity using inertial and force data. In our experiment, we evaluated the accuracy of our method by comparing sensor data with surface EMG data in patient handling. Results show that this method can measure erector spinae muscle activity with a small error (less than 5% maximal voluntary contractions) and a significantly high correlation with actual value (r = 0.891, p <0.05). In addition, a Bland-Altman plot showed no fixed and proportional errors. These findings indicate that our proposed method can accurately monitor the lumbar loads of caregivers.","PeriodicalId":37533,"journal":{"name":"International Journal of Electrical and Electronic Engineering and Telecommunications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67722127","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 : 2021-01-01DOI: 10.18178/IJEETC.10.3.203-208
C. A. Sibiya, B. Numbi, K. Kusakana
In this paper, the performance of the proposed off-grid wind-solar PV hybrid system powering the cathodic protection unit is simulated and analyzed using MATLAB/SIMULINK. Furthermore, the performance simulation for the battery energy storage system with PV-wind hybrid energy system under variable solar irradiance and wind speed respectively is also conducted. The hybrid system consists of a wind turbine which uses a permanent magnet synchronous generator driven directly from the turbine, a PV array and a battery bank. The simulated results reflect that the designed hybrid system of such capacity can adequately supply a cathodic protection unit with no power shortage at different weather conditions.
{"title":"Modelling and Simulation of a Hybrid Renewable/Battery System Powering a Cathodic Protection Unit","authors":"C. A. Sibiya, B. Numbi, K. Kusakana","doi":"10.18178/IJEETC.10.3.203-208","DOIUrl":"https://doi.org/10.18178/IJEETC.10.3.203-208","url":null,"abstract":"In this paper, the performance of the proposed off-grid wind-solar PV hybrid system powering the cathodic protection unit is simulated and analyzed using MATLAB/SIMULINK. Furthermore, the performance simulation for the battery energy storage system with PV-wind hybrid energy system under variable solar irradiance and wind speed respectively is also conducted. The hybrid system consists of a wind turbine which uses a permanent magnet synchronous generator driven directly from the turbine, a PV array and a battery bank. The simulated results reflect that the designed hybrid system of such capacity can adequately supply a cathodic protection unit with no power shortage at different weather conditions.","PeriodicalId":37533,"journal":{"name":"International Journal of Electrical and Electronic Engineering and Telecommunications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67721600","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 : 2021-01-01DOI: 10.18178/ijeetc.10.5.341-354
L. Qabajeh
Multicasting supports various applications that need a high collaboration and require data transmission to numerous destinations concurrently. In environments where nodes are continuously moving, as in mobile Ad-hoc networks, seeking efficient routes from a specific source leading to anticipated destinations became an important issue. In this paper a novel scalable multicast routing procedure for mobile Ad-hoc networks is proposed. Our new protocol, WINDMILL, tries to improve performance by introducing a hierarchal routing algorithm and dealing with the area as zones. Furthermore, WINDMILL tries to demonstrate better scalability, performance and robustness through applying the restricted directional flooding. WINDMILL utilizes the network partitioning to forward the route request and reply packets in an efficient way and avoid forwarding duplicate packets. A qualitative comparison between WINDMILL, multicast Ad-hoc on-demand distance vector (MAODV), on-demand multicast routing protocol (ODMRP) and location aware multicasting protocol (LAMP) protocols is presented in this paper. This comparison has considered the used routing category, main contribution, routing structure and network structure maintenance, request and reply packets sending mechanisms, route activation time, selected routes length, and data packet copies number. Our investigation reveals that WINDMILL will be able to achieve scalability by attaining reduced control overhead and low number of data packets copies even within large networks. Hence, WINDMILL can be a good choice for multicasting in Ad-hoc networks established for example among students on a campus or soldiers in a battlefield, where scalability is a key issue.
{"title":"WINDMILL: A Scalable Multicast Routing Protocol for Mobile Ad-Hoc Networks","authors":"L. Qabajeh","doi":"10.18178/ijeetc.10.5.341-354","DOIUrl":"https://doi.org/10.18178/ijeetc.10.5.341-354","url":null,"abstract":"Multicasting supports various applications that need a high collaboration and require data transmission to numerous destinations concurrently. In environments where nodes are continuously moving, as in mobile Ad-hoc networks, seeking efficient routes from a specific source leading to anticipated destinations became an important issue. In this paper a novel scalable multicast routing procedure for mobile Ad-hoc networks is proposed. Our new protocol, WINDMILL, tries to improve performance by introducing a hierarchal routing algorithm and dealing with the area as zones. Furthermore, WINDMILL tries to demonstrate better scalability, performance and robustness through applying the restricted directional flooding. WINDMILL utilizes the network partitioning to forward the route request and reply packets in an efficient way and avoid forwarding duplicate packets. A qualitative comparison between WINDMILL, multicast Ad-hoc on-demand distance vector (MAODV), on-demand multicast routing protocol (ODMRP) and location aware multicasting protocol (LAMP) protocols is presented in this paper. This comparison has considered the used routing category, main contribution, routing structure and network structure maintenance, request and reply packets sending mechanisms, route activation time, selected routes length, and data packet copies number. Our investigation reveals that WINDMILL will be able to achieve scalability by attaining reduced control overhead and low number of data packets copies even within large networks. Hence, WINDMILL can be a good choice for multicasting in Ad-hoc networks established for example among students on a campus or soldiers in a battlefield, where scalability is a key issue.","PeriodicalId":37533,"journal":{"name":"International Journal of Electrical and Electronic Engineering and Telecommunications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67721872","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 : 2021-01-01DOI: 10.18178/ijeetc.10.4.288-293
P. A. Hohne, K. Kusakana, B. Numbi
Dual axis photovoltaic (PV) tracking system is considered in general to be a poor investment. This is mainly due to the substantial initial investment costs that these systems carry. However, in recent years, solar panels and accompanying component costs have decreased significantly. Additionally, electricity price hikes in South Africa have compelled most of the country’s citizens to reconsider their sources of electrical energy. A popular alternative to grid energy in South Africa is the use of photovoltaic systems. Careful consideration is required when choosing from the various systems available on the market. The main method for maximizing the output power of these systems is to introduce solar tracking systems. Therefore, in this paper, a model of a dual axis tracking system is developed and validated against a real-world plant in the Bloemfontein region in South Africa. The presented model was observed to be accurate to within an error rate of 6.39%. Additionally, the performance of the inverters of the PV tracking systems were evaluated and discussed. The validated model may prove to be an excellent tool for energy managers to determine the feasibility of such systems, compared to conventional photovoltaic setups.
{"title":"Model Development and Validation of a Dual-Axis PV Tracking System: A Case of South Africa","authors":"P. A. Hohne, K. Kusakana, B. Numbi","doi":"10.18178/ijeetc.10.4.288-293","DOIUrl":"https://doi.org/10.18178/ijeetc.10.4.288-293","url":null,"abstract":"Dual axis photovoltaic (PV) tracking system is considered in general to be a poor investment. This is mainly due to the substantial initial investment costs that these systems carry. However, in recent years, solar panels and accompanying component costs have decreased significantly. Additionally, electricity price hikes in South Africa have compelled most of the country’s citizens to reconsider their sources of electrical energy. A popular alternative to grid energy in South Africa is the use of photovoltaic systems. Careful consideration is required when choosing from the various systems available on the market. The main method for maximizing the output power of these systems is to introduce solar tracking systems. Therefore, in this paper, a model of a dual axis tracking system is developed and validated against a real-world plant in the Bloemfontein region in South Africa. The presented model was observed to be accurate to within an error rate of 6.39%. Additionally, the performance of the inverters of the PV tracking systems were evaluated and discussed. The validated model may prove to be an excellent tool for energy managers to determine the feasibility of such systems, compared to conventional photovoltaic setups.","PeriodicalId":37533,"journal":{"name":"International Journal of Electrical and Electronic Engineering and Telecommunications","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67722139","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 : 2021-01-01DOI: 10.11648/j.jeee.20210906.14
Raghavendra Dakuri Venkata
{"title":"Design and Implementation of an Automated Lighting System","authors":"Raghavendra Dakuri Venkata","doi":"10.11648/j.jeee.20210906.14","DOIUrl":"https://doi.org/10.11648/j.jeee.20210906.14","url":null,"abstract":"","PeriodicalId":37533,"journal":{"name":"International Journal of Electrical and Electronic Engineering and Telecommunications","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75498770","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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