Pub Date : 2021-11-30DOI: 10.25077/jnte.v10n3.905.2021
Fitriana Fitriana, Darma Arif Wicaksono, Sofia Ariyani, Rais Nurwahyudin, Fahmi Aulia Ajie
Many factors that affect the efficiency of solar panels, one of which is environmental factors. Among the environmental factors that negatively affect the solar panels performance is the dust accumulation on the top surface of the solar panels. This is because dust will block solar radiation from entering directly into solar cells and can reduce the efficiency of solar panels. In this research, a wiper cleaner prototype has been designed to clean dust on solar panels with a rooftop installation. This wiper cleaner system is made by utilizing servo motor movement and Internet of Things (IoT) technology so that it can be controlled remotely using an android. This wiper cleaner prototype works with a response time of 1 second and a speed of 0.0254 m/s. The wiper cleaner control system via Android can work with a maximum range of 30 meters. In addition, based on research that has been done shows that wiper cleaner can increase the efficiency of solar panels by 8.5%.
{"title":"Design of Wiper Cleaner Prototype based on IoT for Solar Panels With Rooftop Installation","authors":"Fitriana Fitriana, Darma Arif Wicaksono, Sofia Ariyani, Rais Nurwahyudin, Fahmi Aulia Ajie","doi":"10.25077/jnte.v10n3.905.2021","DOIUrl":"https://doi.org/10.25077/jnte.v10n3.905.2021","url":null,"abstract":"Many factors that affect the efficiency of solar panels, one of which is environmental factors. Among the environmental factors that negatively affect the solar panels performance is the dust accumulation on the top surface of the solar panels. This is because dust will block solar radiation from entering directly into solar cells and can reduce the efficiency of solar panels. In this research, a wiper cleaner prototype has been designed to clean dust on solar panels with a rooftop installation. This wiper cleaner system is made by utilizing servo motor movement and Internet of Things (IoT) technology so that it can be controlled remotely using an android. This wiper cleaner prototype works with a response time of 1 second and a speed of 0.0254 m/s. The wiper cleaner control system via Android can work with a maximum range of 30 meters. In addition, based on research that has been done shows that wiper cleaner can increase the efficiency of solar panels by 8.5%.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43580313","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 : 2021-11-30DOI: 10.25077/jnte.v10n3.936.2021
K. Amiroh, Dewi Rahmawati, A. Y. Wicaksono
Methods of prevention and equipment to reduce the risk of falls based on accelerometer and gyroscope sensor have developed rapidly because its operations are cheaper than video cameras. Improved accuracy of detection and fall prediction based on accelerometer and gyroscope sensor is carried out by utilizing Artificial Intelligence (AI) to predict falling patterns. However, the existing fall prediction system is less responsive and also has a low level of accuracy, sensitivity and specificity. The current system does not have a notification system to care givers or doctors in the hospital. To overcome the above problems, this study proposes the development of smart fall prediction system based on accelerometer and gyroscope for the prevention of fractures in geriatric populations (JaPiGi) which are accurate and have high sensitivity and specificity. This study uses Fuzzy Mamdani to recognize movements falling forward, falling sideways, sitting, sleeping, squatting and praying. The total data tested was 100 data from 10 participants. The introduction of this movement is based on 6 input variables from data of accelerometer and gyroscope sensor. To calculate the accuracy, precision, sensitivity and specificity in this study using the equation Receiver Operating Characteristic (ROC). Motion recognition is carried out 3 times with an average accuracy of 90%.
{"title":"Intelligent System for Fall Prediction Based on Accelerometer and Gyroscope of Fatal Injury in Geriatric","authors":"K. Amiroh, Dewi Rahmawati, A. Y. Wicaksono","doi":"10.25077/jnte.v10n3.936.2021","DOIUrl":"https://doi.org/10.25077/jnte.v10n3.936.2021","url":null,"abstract":"Methods of prevention and equipment to reduce the risk of falls based on accelerometer and gyroscope sensor have developed rapidly because its operations are cheaper than video cameras. Improved accuracy of detection and fall prediction based on accelerometer and gyroscope sensor is carried out by utilizing Artificial Intelligence (AI) to predict falling patterns. However, the existing fall prediction system is less responsive and also has a low level of accuracy, sensitivity and specificity. The current system does not have a notification system to care givers or doctors in the hospital. To overcome the above problems, this study proposes the development of smart fall prediction system based on accelerometer and gyroscope for the prevention of fractures in geriatric populations (JaPiGi) which are accurate and have high sensitivity and specificity. This study uses Fuzzy Mamdani to recognize movements falling forward, falling sideways, sitting, sleeping, squatting and praying. The total data tested was 100 data from 10 participants. The introduction of this movement is based on 6 input variables from data of accelerometer and gyroscope sensor. To calculate the accuracy, precision, sensitivity and specificity in this study using the equation Receiver Operating Characteristic (ROC). Motion recognition is carried out 3 times with an average accuracy of 90%.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48703217","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 : 2021-07-28DOI: 10.25077/jnte.v10n2.781.2021
Fikri Nizar Gustiyana, Muntaqo Alfin Amanaf, D. Kurnianto
Indonesia is an agricultural country with a wealth of natural resources. The agricultural sector is one of the natural resources with great potential. The processing and monitoring of very large agricultural land is currently a problem that must be resolved as soon as possible. The use of a remote monitoring system is the solution to this problem. The LoRa protocol is one of the communication protocols that can be used on large farms. This communication system is part of the low-power wide-area network communication system. The LoRaWAN communication system was implemented on agricultural soil moisture monitoring devices in this study. Based on the findings, it is possible to conclude that the propagation used at the time of transmission influences the success rate of data transmission via LoRaWAN communication. Line of Sight (LOS) propagation has a higher success rate than Non Line of Sight (NLOS) propagation. The LOS value is 17% greater than the NLOS at a distance of 100 meters. The LOS value is 24% greater than the NLOS at a distance of 150 meters. The LOS value is 3% greater than the NLOS value at a distance of 200 meters. LOS propagation measurement throughput is higher than NLOS propagation measurement throughput Keywords: LoRa, LoRaWAN, Wireless, Internet Of Things
{"title":"Quality of Service Comparison of LOS and NLOS Propagation in a LoRaWAN-Based Remote Monitoring System","authors":"Fikri Nizar Gustiyana, Muntaqo Alfin Amanaf, D. Kurnianto","doi":"10.25077/jnte.v10n2.781.2021","DOIUrl":"https://doi.org/10.25077/jnte.v10n2.781.2021","url":null,"abstract":"Indonesia is an agricultural country with a wealth of natural resources. The agricultural sector is one of the natural resources with great potential. The processing and monitoring of very large agricultural land is currently a problem that must be resolved as soon as possible. The use of a remote monitoring system is the solution to this problem. The LoRa protocol is one of the communication protocols that can be used on large farms. This communication system is part of the low-power wide-area network communication system. The LoRaWAN communication system was implemented on agricultural soil moisture monitoring devices in this study. Based on the findings, it is possible to conclude that the propagation used at the time of transmission influences the success rate of data transmission via LoRaWAN communication. Line of Sight (LOS) propagation has a higher success rate than Non Line of Sight (NLOS) propagation. The LOS value is 17% greater than the NLOS at a distance of 100 meters. The LOS value is 24% greater than the NLOS at a distance of 150 meters. The LOS value is 3% greater than the NLOS value at a distance of 200 meters. LOS propagation measurement throughput is higher than NLOS propagation measurement throughput Keywords: LoRa, LoRaWAN, Wireless, Internet Of Things","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48105809","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 : 2021-07-28DOI: 10.25077/jnte.v10n2.920.2021
A. Adrianti, Edwindiansyah Asharry, M. Nasir
Installation of distributed generations (DGs) can cause performance degradation of distribution lines protection. Therefore, the objective of this paper is to propose a protection scheme that can be a solution for this protection line degradation.. The proposed scheme consist of quadrilateral distance relays at upper stream of the lines and directional overcurrent relays at downstream of the lines. The performance of the scheme was tested using Digsilent Powerfactory simulation. The simulation was carried out for four fault types, 0 - 50 Ohms fault resistance and four network conditions/scenarios. The test system consist of three current source i.e. Grid, DG1 and DG2. Variation on-off state of the three current sources is applied in order to check the ability of the scheme to perform correctly for multiple network condition and possibility installation of new DG in the future. The results show that the scheme perform correctly for all bolted fault regardless of fault types, fault location and network scenarios. For three phase and two phase to ground faults the scheme perform correctly for all simulated fault resistance. However, for single line to ground faults and phase to phase faults, the scheme has limitation on maximum fault resistance that can result in correct operation. In general, the proposed scheme able to protect the distribution lines better than the scheme of previous research, but it has a slightly higher chance to perform unwanted operation. Keywords : Distribution line protection, distributed generation, quadrilateral distance relay, directional overcurrent relay
{"title":"A Distribution Line Protection Scheme for Network with Distributed Generation","authors":"A. Adrianti, Edwindiansyah Asharry, M. Nasir","doi":"10.25077/jnte.v10n2.920.2021","DOIUrl":"https://doi.org/10.25077/jnte.v10n2.920.2021","url":null,"abstract":"Installation of distributed generations (DGs) can cause performance degradation of distribution lines protection. Therefore, the objective of this paper is to propose a protection scheme that can be a solution for this protection line degradation.. The proposed scheme consist of quadrilateral distance relays at upper stream of the lines and directional overcurrent relays at downstream of the lines. The performance of the scheme was tested using Digsilent Powerfactory simulation. The simulation was carried out for four fault types, 0 - 50 Ohms fault resistance and four network conditions/scenarios. The test system consist of three current source i.e. Grid, DG1 and DG2. Variation on-off state of the three current sources is applied in order to check the ability of the scheme to perform correctly for multiple network condition and possibility installation of new DG in the future. The results show that the scheme perform correctly for all bolted fault regardless of fault types, fault location and network scenarios. For three phase and two phase to ground faults the scheme perform correctly for all simulated fault resistance. However, for single line to ground faults and phase to phase faults, the scheme has limitation on maximum fault resistance that can result in correct operation. In general, the proposed scheme able to protect the distribution lines better than the scheme of previous research, but it has a slightly higher chance to perform unwanted operation. Keywords : Distribution line protection, distributed generation, quadrilateral distance relay, directional overcurrent relay","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42868097","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 : 2021-07-28DOI: 10.25077/jnte.v10n2.924.2021
E. S. Wahyuni, Zulfika Iqbal, Dzata Farahiya
The active movement of children poses a safety risk in the absence of adult supervision. To reduce the risk of accidents in children, an automatic detection system for the direction of children's movements is crucially needed. In this study, detection of the direction of human movement based on image processing was carried out with the input of videos produce from 4 CCTV installed in each corner of the room. The system will detect the direction of object movement with classification of orientation, namely front, back, right and left. The detection method used in this research is Optical Flow. Optical Flow will calculate the value of the direction or orientation of the movement of an object. The orientation obtained is then accumulated with HOOF (Histogram Orientation of Optical Flow), where HOOF will collect the orientation of objects on the whole frame according to a 8-part Cartesian angle. The results of the orientation with Optical Flow will be compared with the direction of detection measured manually to determine whether the detection of movement direction using Optical Flow is running well. According to the results, it is known that the Optical Flow method has succeeded in detecting the direction of movement accurately based on different camera angles. Keywords : Image Processing, CCTV, Optical Flow, HOOF
在没有成人监督的情况下，儿童的活跃活动构成了安全风险。为了减少儿童发生事故的风险，迫切需要一个儿童运动方向的自动检测系统。在本研究中，基于图像处理的人体运动方向检测，输入房间每个角落安装的4台CCTV产生的视频。系统将检测物体的运动方向，并进行方向分类，即前、后、右、左。本研究采用的检测方法是光流。光流将计算物体运动的方向或方向的值。然后用HOOF (Histogram orientation of Optical Flow)对得到的方向进行累积，其中HOOF将按照8分笛卡尔角收集整个框架上物体的方向。将光流定位的结果与人工测量的检测方向进行比较，以确定光流检测的运动方向是否运行良好。结果表明，光流法可以根据不同的相机角度准确地检测出运动方向。关键词:图像处理，CCTV，光流，HOOF
{"title":"Detection of Human Movement Direction Using Optical Flow Analisys on Multiple Camera Angles","authors":"E. S. Wahyuni, Zulfika Iqbal, Dzata Farahiya","doi":"10.25077/jnte.v10n2.924.2021","DOIUrl":"https://doi.org/10.25077/jnte.v10n2.924.2021","url":null,"abstract":"The active movement of children poses a safety risk in the absence of adult supervision. To reduce the risk of accidents in children, an automatic detection system for the direction of children's movements is crucially needed. In this study, detection of the direction of human movement based on image processing was carried out with the input of videos produce from 4 CCTV installed in each corner of the room. The system will detect the direction of object movement with classification of orientation, namely front, back, right and left. The detection method used in this research is Optical Flow. Optical Flow will calculate the value of the direction or orientation of the movement of an object. The orientation obtained is then accumulated with HOOF (Histogram Orientation of Optical Flow), where HOOF will collect the orientation of objects on the whole frame according to a 8-part Cartesian angle. The results of the orientation with Optical Flow will be compared with the direction of detection measured manually to determine whether the detection of movement direction using Optical Flow is running well. According to the results, it is known that the Optical Flow method has succeeded in detecting the direction of movement accurately based on different camera angles. Keywords : Image Processing, CCTV, Optical Flow, HOOF","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46189772","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 : 2021-07-28DOI: 10.25077/jnte.v10n2.908.2021
Gideon Adom-Bamfi, E. Frimpong
This paper presents an approach for online generator coherency identification based on windowed dynamic time warping (DTW). Generator rotor speed deviations measured by phasor measurement units (PMUs) are used as input data to compute a DTW dissimilarity matrix. Using the dissimilarity matrix together with Agglomerative Hierarchical Clustering (AHC) and Hubert-Levin index (C-index), generators are optimally grouped into coherent clusters. In addition to the clustering of generators, an index for characterizing the transmission delay of a Wide Area Measurement System (WAMS) is presented. A data delay factor that can indicate whether there is an inconsistent PMU data transmission delay is also proposed. The coherency identification technique and indices were tested using simulations carried out on the IEEE 39-bus system. The test results indicate that the proposed scheme accurately clusters generators into coherent groups. The suggested indices were also found to be valid. Keywords : coherence identification, dynamic time warping, speed deviation, phasor measurement unit, dissimilarity matrix
{"title":"A Robust Scheme for Coherency Detection in Power Systems","authors":"Gideon Adom-Bamfi, E. Frimpong","doi":"10.25077/jnte.v10n2.908.2021","DOIUrl":"https://doi.org/10.25077/jnte.v10n2.908.2021","url":null,"abstract":"This paper presents an approach for online generator coherency identification based on windowed dynamic time warping (DTW). Generator rotor speed deviations measured by phasor measurement units (PMUs) are used as input data to compute a DTW dissimilarity matrix. Using the dissimilarity matrix together with Agglomerative Hierarchical Clustering (AHC) and Hubert-Levin index (C-index), generators are optimally grouped into coherent clusters. In addition to the clustering of generators, an index for characterizing the transmission delay of a Wide Area Measurement System (WAMS) is presented. A data delay factor that can indicate whether there is an inconsistent PMU data transmission delay is also proposed. The coherency identification technique and indices were tested using simulations carried out on the IEEE 39-bus system. The test results indicate that the proposed scheme accurately clusters generators into coherent groups. The suggested indices were also found to be valid. Keywords : coherence identification, dynamic time warping, speed deviation, phasor measurement unit, dissimilarity matrix","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48281090","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 : 2021-07-28DOI: 10.25077/jnte.v10n2.831.2021
Hendi Matalata, Fadli Eka Yandra
Multilevel Inverter (MLI) is a converter that converts DC power source into AC power source with voltage output more than 2 levels. The conventional 5-level Multilevel Inverter Topology that is developing today generally uses eight power switch components. In this paper, research Topology multilevel inverter 5 levels was conducted by reducing the power switch components into four pieces and assisted by two diode clamps and capacitor as voltage coupling. PWM (Pulse Width Modulation) technique used to utilize multicarrier modulation. Simulation testing with MATLAB conducted has been verified with the results of hardware tests where the output voltage shows similarity of shape at the output voltage MLI 5 levels. The results and discussion of the proposed topology can provide economic benefits from the use of the number of power switch components (MOSFET) compared to conventional 5-level MLI topology. Keywords : Multilevel Inverter, PWM, 5 Level
{"title":"The Performance Multilevel Inverter 5 Level 1 Phase by Reducing Power Switch Components","authors":"Hendi Matalata, Fadli Eka Yandra","doi":"10.25077/jnte.v10n2.831.2021","DOIUrl":"https://doi.org/10.25077/jnte.v10n2.831.2021","url":null,"abstract":"Multilevel Inverter (MLI) is a converter that converts DC power source into AC power source with voltage output more than 2 levels. The conventional 5-level Multilevel Inverter Topology that is developing today generally uses eight power switch components. In this paper, research Topology multilevel inverter 5 levels was conducted by reducing the power switch components into four pieces and assisted by two diode clamps and capacitor as voltage coupling. PWM (Pulse Width Modulation) technique used to utilize multicarrier modulation. Simulation testing with MATLAB conducted has been verified with the results of hardware tests where the output voltage shows similarity of shape at the output voltage MLI 5 levels. The results and discussion of the proposed topology can provide economic benefits from the use of the number of power switch components (MOSFET) compared to conventional 5-level MLI topology. Keywords : Multilevel Inverter, PWM, 5 Level","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41319622","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 : 2021-07-28DOI: 10.25077/jnte.v10n2.889.2021
Elsi Alfionita Syawal, R. Nazir
Currently, the supply of electrical energy is still not fulfilled in some areas due to the depletion of conventional energy sources and fossil energy. The ideal alternative energy is renewable energy that does not have the potential to run out such as solar energy, biomass and water. Senamat Ulu is a village in Bungo Regency that has the potential for biomass power generation because it has a lot of palm oil plantations covering an area of 3,917 hectares with an average production of 6,901 tons per year. Based on the coordinates of the center of the village, simulation Homer scored solar radiation of 4.43 kWh / m2/ day for Ulu Senamat area. The purpose of this research is to obtain the amount of biomass energy potential and the optimal model for the hybrid system of power generation in Senamat Ulu Village. From the results of the study, it was found that the potential for electrical power from the biomass power plant in Senamat Ulu was 6,113.65 kW consisting of 2,189.08 kW shells and 3,924.57 kW palm fiber. The most optimal generator model is simulation I in terms of the smallest NPC and COE economies, namely NPC $ 275,091 and COE $ 0.0768/kWh where Biomass is 49,946 kWh/year at a cost of $ 0.0271/kWh, PV 26,681 kWh/year with electricity price of $ 0.107/kWh, Micro hydro 156.025 kWh/year with electricity price of $ 0.00992/kWh, Storage Li-ion 8,643 kWh/year and converter 288,331 kWh/year and the time required to payback is 5.8 years. Keywords: Optimization, NPC, COE
{"title":"Optimization of the Hybrid System for Micro Hydro, Photovoltaic and Biomass Power Generation in Senamat Ulu Village Using Homer Simulation","authors":"Elsi Alfionita Syawal, R. Nazir","doi":"10.25077/jnte.v10n2.889.2021","DOIUrl":"https://doi.org/10.25077/jnte.v10n2.889.2021","url":null,"abstract":"Currently, the supply of electrical energy is still not fulfilled in some areas due to the depletion of conventional energy sources and fossil energy. The ideal alternative energy is renewable energy that does not have the potential to run out such as solar energy, biomass and water. Senamat Ulu is a village in Bungo Regency that has the potential for biomass power generation because it has a lot of palm oil plantations covering an area of 3,917 hectares with an average production of 6,901 tons per year. Based on the coordinates of the center of the village, simulation Homer scored solar radiation of 4.43 kWh / m2/ day for Ulu Senamat area. The purpose of this research is to obtain the amount of biomass energy potential and the optimal model for the hybrid system of power generation in Senamat Ulu Village. From the results of the study, it was found that the potential for electrical power from the biomass power plant in Senamat Ulu was 6,113.65 kW consisting of 2,189.08 kW shells and 3,924.57 kW palm fiber. The most optimal generator model is simulation I in terms of the smallest NPC and COE economies, namely NPC $ 275,091 and COE $ 0.0768/kWh where Biomass is 49,946 kWh/year at a cost of $ 0.0271/kWh, PV 26,681 kWh/year with electricity price of $ 0.107/kWh, Micro hydro 156.025 kWh/year with electricity price of $ 0.00992/kWh, Storage Li-ion 8,643 kWh/year and converter 288,331 kWh/year and the time required to payback is 5.8 years. Keywords: Optimization, NPC, COE","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48179202","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 : 2021-07-02DOI: 10.25077/jnte.v10n2.906.2021
Pawenary Pawenary, S. Azzahra, Hastuti Azis, A. S. Prabuwono
In this study, an electric vehicle was designed using fossil fuels compared to the hybrid system on a 150cc motorcycle. The design of electric motorcycle vehicles is focused to know the feasibility study comparison between engine drive and electrical drive. In the design of electric motorcycle vehicles know how to make technical economic calculations on electric motorcycles. And converting energy from mechanical energy into electric energy or vice versa requires a device called an electric motor. Having the knowledge and experience in the manufacture of electric motors will be more useful and become important in the future. Electric vehicles are the solution to the problem of depleting petroleum reserves and pollution problems that increase each year due to exhaust emissions produced by oil-fueled vehicles. contribution of motor vehicle exhaust as a source of air pollutionreaches 60-70%. The decline of fossil fuels in the world is also a major problem that is currently unresolved. The analytical technique used in this study is a descriptive statistic technique. Where in this study will be carried out an assessment of the technical data that occurs on the calculation of the speed of what motor is in accordance with the specified standards.
{"title":"Feasibility Study Designing Electric Motorcycles With Fossil Fuels Compared To Hybrid Systems On 150Cc Motorcycles","authors":"Pawenary Pawenary, S. Azzahra, Hastuti Azis, A. S. Prabuwono","doi":"10.25077/jnte.v10n2.906.2021","DOIUrl":"https://doi.org/10.25077/jnte.v10n2.906.2021","url":null,"abstract":"In this study, an electric vehicle was designed using fossil fuels compared to the hybrid system on a 150cc motorcycle. The design of electric motorcycle vehicles is focused to know the feasibility study comparison between engine drive and electrical drive. In the design of electric motorcycle vehicles know how to make technical economic calculations on electric motorcycles. And converting energy from mechanical energy into electric energy or vice versa requires a device called an electric motor. Having the knowledge and experience in the manufacture of electric motors will be more useful and become important in the future. Electric vehicles are the solution to the problem of depleting petroleum reserves and pollution problems that increase each year due to exhaust emissions produced by oil-fueled vehicles. contribution of motor vehicle exhaust as a source of air pollutionreaches 60-70%. The decline of fossil fuels in the world is also a major problem that is currently unresolved. The analytical technique used in this study is a descriptive statistic technique. Where in this study will be carried out an assessment of the technical data that occurs on the calculation of the speed of what motor is in accordance with the specified standards.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45486282","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 : 2021-07-02DOI: 10.25077/JNTE.V10N2.910.2021
Gigih Surya Adi Pratama, Hendik Eko Hadi Suharyanto, Y. C. Arif
In making the PV array system work optimally without a hitch, it is important to recognize and know where the fault occurs. The current and voltage represent the conditions of a PV array, so that, in this paper, the proposed method is based on the current and voltage values for each string, four identified conditions, namely free fault conditions, partial shading, short circuit and open circuit. Neural network is used as a tool for predicting the type and location of faults, fault samples are obtained from simulations through PSIM and the learning process is carried out through MATLAB/Simulink, the algorithms used in the learning process are also compared to see which are the best. As a result, neural network was able to identify the type and location of faults on the PV array. This proves that the condition of a PV array can be explained through its voltage and current values. Keyword: PV array, partial shading, short circuit, open circuit, neural network Normal 0 false false false EN-US X-NONE X-NONE
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