Pub Date : 2017-10-01DOI: 10.1109/ICEEIE.2017.8328756
P. Aree
Small hydropower is one of the attractive energy sources, proving electricity generation in rural area. Three-phase self-excited induction generator (SEIG) usually equipped with an unregulated water turbine is widely used under constant-power mode. So, many SEIGs are worked with Electronic Load Controller (ELC) for adjusting their unbalanced energies between input and output powers. Because the dynamic studies of SEIG with ELC are mostly limited with static loads, in this paper, the SEIG dynamic performances with ELC are investigated under switch-started dynamic induction motor (IM). The problem of voltage collapse due to lack of reactive power support when the SEIG feeds the dynamic IM load is demonstrated. This paper also proposes the cheapest way using paralleled-motor capacitors to provide the reactive power support. The study results show that the problems of voltage collapse due to the motor starting can be resolved using the paralleled-motor capacitors together with ELC.
{"title":"Dynamic performance of self-excited induction generator with electronic load controller under starting of induction motor load","authors":"P. Aree","doi":"10.1109/ICEEIE.2017.8328756","DOIUrl":"https://doi.org/10.1109/ICEEIE.2017.8328756","url":null,"abstract":"Small hydropower is one of the attractive energy sources, proving electricity generation in rural area. Three-phase self-excited induction generator (SEIG) usually equipped with an unregulated water turbine is widely used under constant-power mode. So, many SEIGs are worked with Electronic Load Controller (ELC) for adjusting their unbalanced energies between input and output powers. Because the dynamic studies of SEIG with ELC are mostly limited with static loads, in this paper, the SEIG dynamic performances with ELC are investigated under switch-started dynamic induction motor (IM). The problem of voltage collapse due to lack of reactive power support when the SEIG feeds the dynamic IM load is demonstrated. This paper also proposes the cheapest way using paralleled-motor capacitors to provide the reactive power support. The study results show that the problems of voltage collapse due to the motor starting can be resolved using the paralleled-motor capacitors together with ELC.","PeriodicalId":304532,"journal":{"name":"2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116378508","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 : 2017-10-01DOI: 10.1109/ICEEIE.2017.8328763
Wang Zhi-hao, Hendrick, Kung Yu-Fan, Chan Chuan-Te, Lin Shi-Hao, Jong Gwo-Jia
The EEG signal was the signal that represents brain activity. Usually, there two kind measurements to get the EEG; invasive method and non-invasive method. The EEG signal is not only used by the doctors but also used by the engineer to do a research. BCI (brain computer interface) was used by the engineer to get the EEG data from a human head. The EOG (electrooculogram) was produced when eye blink. The EOG signals are one of signal that forms EEG signals. This research implemented eye blink as a command to turn on and turn off motor through wireless communication. In the future, this EEG signal will use to control wheel chair to help disability people who cannot use their hand or legs. This research used NeuroSky MindWave to record EEG signal, myRIO to control dc motor and LabVIEW to the program. To control the dc motor, the command double eye blink and triple eye blink was used. in its style sheet.
{"title":"Controlling DC motor using eye blink signals based on LabVIEW","authors":"Wang Zhi-hao, Hendrick, Kung Yu-Fan, Chan Chuan-Te, Lin Shi-Hao, Jong Gwo-Jia","doi":"10.1109/ICEEIE.2017.8328763","DOIUrl":"https://doi.org/10.1109/ICEEIE.2017.8328763","url":null,"abstract":"The EEG signal was the signal that represents brain activity. Usually, there two kind measurements to get the EEG; invasive method and non-invasive method. The EEG signal is not only used by the doctors but also used by the engineer to do a research. BCI (brain computer interface) was used by the engineer to get the EEG data from a human head. The EOG (electrooculogram) was produced when eye blink. The EOG signals are one of signal that forms EEG signals. This research implemented eye blink as a command to turn on and turn off motor through wireless communication. In the future, this EEG signal will use to control wheel chair to help disability people who cannot use their hand or legs. This research used NeuroSky MindWave to record EEG signal, myRIO to control dc motor and LabVIEW to the program. To control the dc motor, the command double eye blink and triple eye blink was used. in its style sheet.","PeriodicalId":304532,"journal":{"name":"2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114640286","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 : 2017-10-01DOI: 10.1109/ICEEIE.2017.8328764
S. Sudiro, I. P. Wardhani, B. A. Wardijono, Brian Handias
Biometric-based system is one of the systems for identification/recognition and verification. There are many types of biometric technology, one of them is fingerprint recognition system. Fingerprint, like other biometric feature is unique, means that it will always different with its kind. One of the problems in fingerprint recognition systems is how to extract the characteristics/feature of a person's fingerprint. This article present fingerprint matching application as part of recognition, using simple minutiae point extraction algorithm implemented it into hardware-based Artificial Neural Network device. The Cogniblox is an ANN device from CogniMem that comes with 4 CM1K chip, able to store up to 4096 neurons in the device. MATLAB environment is used for developing the fingerprint recognition application. The designed system is then undergo a performance evaluation by recognizing a total of 80 dataset of fingerprint, consist of 10 different fingerprint with 8 impression each, which stored into the neurons beforehand. The performance evaluation resulted in a False Acceptance Rate (FAR), False Rejection Rate (FRR) and Equal Error Rate (EER) are presented.
{"title":"Fingerprint matching application using hardware based artificial neural network with Matlab","authors":"S. Sudiro, I. P. Wardhani, B. A. Wardijono, Brian Handias","doi":"10.1109/ICEEIE.2017.8328764","DOIUrl":"https://doi.org/10.1109/ICEEIE.2017.8328764","url":null,"abstract":"Biometric-based system is one of the systems for identification/recognition and verification. There are many types of biometric technology, one of them is fingerprint recognition system. Fingerprint, like other biometric feature is unique, means that it will always different with its kind. One of the problems in fingerprint recognition systems is how to extract the characteristics/feature of a person's fingerprint. This article present fingerprint matching application as part of recognition, using simple minutiae point extraction algorithm implemented it into hardware-based Artificial Neural Network device. The Cogniblox is an ANN device from CogniMem that comes with 4 CM1K chip, able to store up to 4096 neurons in the device. MATLAB environment is used for developing the fingerprint recognition application. The designed system is then undergo a performance evaluation by recognizing a total of 80 dataset of fingerprint, consist of 10 different fingerprint with 8 impression each, which stored into the neurons beforehand. The performance evaluation resulted in a False Acceptance Rate (FAR), False Rejection Rate (FRR) and Equal Error Rate (EER) are presented.","PeriodicalId":304532,"journal":{"name":"2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130242742","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 : 2017-10-01DOI: 10.1109/ICEEIE.2017.8328771
Fatin Ilyani binti Jefri, G. Fujita
Recently, Solid State Transformer (SST) is proposed to switch the conventional distribution transformers since it has potential to reduce the volume and weight. Three stages SST is the combination of a rectifier, a DC-DC converter and an inverter. Since these three power electronics are connected together, the power output of rectifier will become the input power of DC-DC converter and the output power of DC-DC converter will become the input power for inverter. However, since the active rectifier is a part of SST and also a non-linear load, it causes the input current to become distorted and it will affect the power factor of the active rectifier. That is why, a new control system consists of phase locked loop, voltage loop control and current loop control needs to be designed. However, this study only focus on the designing of current loop control and voltage loop control by using PI control system in order to control the input current of the active rectifier that will produce the output voltage near the reference value. By providing better input current also, the power factor of the active rectifier also can be improved. Hence, unity power factor can be achieved and the efficiency of the active rectifier becomes better.
{"title":"PI control system for input current of active rectifier in SST","authors":"Fatin Ilyani binti Jefri, G. Fujita","doi":"10.1109/ICEEIE.2017.8328771","DOIUrl":"https://doi.org/10.1109/ICEEIE.2017.8328771","url":null,"abstract":"Recently, Solid State Transformer (SST) is proposed to switch the conventional distribution transformers since it has potential to reduce the volume and weight. Three stages SST is the combination of a rectifier, a DC-DC converter and an inverter. Since these three power electronics are connected together, the power output of rectifier will become the input power of DC-DC converter and the output power of DC-DC converter will become the input power for inverter. However, since the active rectifier is a part of SST and also a non-linear load, it causes the input current to become distorted and it will affect the power factor of the active rectifier. That is why, a new control system consists of phase locked loop, voltage loop control and current loop control needs to be designed. However, this study only focus on the designing of current loop control and voltage loop control by using PI control system in order to control the input current of the active rectifier that will produce the output voltage near the reference value. By providing better input current also, the power factor of the active rectifier also can be improved. Hence, unity power factor can be achieved and the efficiency of the active rectifier becomes better.","PeriodicalId":304532,"journal":{"name":"2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130960381","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 : 2017-10-01DOI: 10.1109/ICEEIE.2017.8328770
Wang Zhi-hao, Liou Siou-Wei, Charng Yaw-Jong, Hsu Shih-Hsien, Lee Yen-Cheng, Jong Gwo-Jia
The future of development trend for the automobile industry, mainly import Advanced Driver Assistance System (ADAS) technology to replace the human decision and guidance. Moreover, the integration of automotive function can achieve automation system and intelligent vehicle. In this paper, we introduce the assistance system function using image processing to provide the real-time monitoring system for parking. The relevant parameters are detected, decided, and processed for producing the correspondence action through the assistance system. We designed a complete set of traffic video systems by using a single or multiple CAMERAs for getting analog images, image recognition, and estimation of vehicle trajectory techniques. In the experimental results, the OTSU method is implanted into the ring image system, and according to different weather and environmental conditions. The OTSU method is effectively transformed into dynamic environment brightness value analysis and modulation, especially for the ups and downs of the environment without changing the brightness. The system can provide multi-screen image processing, so that the screen shows a more realistic picture, and enhance the ability to determine the image and shorten the driving decision time. These features will improve the safety of driving.
{"title":"Study on vehicle safety image system optimization","authors":"Wang Zhi-hao, Liou Siou-Wei, Charng Yaw-Jong, Hsu Shih-Hsien, Lee Yen-Cheng, Jong Gwo-Jia","doi":"10.1109/ICEEIE.2017.8328770","DOIUrl":"https://doi.org/10.1109/ICEEIE.2017.8328770","url":null,"abstract":"The future of development trend for the automobile industry, mainly import Advanced Driver Assistance System (ADAS) technology to replace the human decision and guidance. Moreover, the integration of automotive function can achieve automation system and intelligent vehicle. In this paper, we introduce the assistance system function using image processing to provide the real-time monitoring system for parking. The relevant parameters are detected, decided, and processed for producing the correspondence action through the assistance system. We designed a complete set of traffic video systems by using a single or multiple CAMERAs for getting analog images, image recognition, and estimation of vehicle trajectory techniques. In the experimental results, the OTSU method is implanted into the ring image system, and according to different weather and environmental conditions. The OTSU method is effectively transformed into dynamic environment brightness value analysis and modulation, especially for the ups and downs of the environment without changing the brightness. The system can provide multi-screen image processing, so that the screen shows a more realistic picture, and enhance the ability to determine the image and shorten the driving decision time. These features will improve the safety of driving.","PeriodicalId":304532,"journal":{"name":"2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"47 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132383854","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 : 2017-10-01DOI: 10.1109/ICEEIE.2017.8328768
I. Zaeni, A. Wibawa, M. Ashar
This study proposed a design to control patient room facilities using eye blink. The room facilities consisted of moving the bed backrest upward, moving the bed backrest downward, switch the fan on/off and switch the light on/off. Four icons representing four commands appear on the screen sequentially. The subject electroencephalograph (EEG) signals were acquired from the prefrontal region. Attention and eye blink used as input for the decision system. The attention level was acquired from the EEG headset, while the eye blink was detected from the filtered raw EEG signal. The low pass filter and peak amplitude were used to detect the eye blink from EEG signal. The decision is made if eye blink and attention level are higher than the threshold. The command that chosen is the icon that appears when the decision is made. Based on the experiment, the average accuracy of the system is 89.79% which verify that the system can be used to help people with ALS to control their room facilities.
{"title":"The design of the patient's room facilities controller using an eye blink","authors":"I. Zaeni, A. Wibawa, M. Ashar","doi":"10.1109/ICEEIE.2017.8328768","DOIUrl":"https://doi.org/10.1109/ICEEIE.2017.8328768","url":null,"abstract":"This study proposed a design to control patient room facilities using eye blink. The room facilities consisted of moving the bed backrest upward, moving the bed backrest downward, switch the fan on/off and switch the light on/off. Four icons representing four commands appear on the screen sequentially. The subject electroencephalograph (EEG) signals were acquired from the prefrontal region. Attention and eye blink used as input for the decision system. The attention level was acquired from the EEG headset, while the eye blink was detected from the filtered raw EEG signal. The low pass filter and peak amplitude were used to detect the eye blink from EEG signal. The decision is made if eye blink and attention level are higher than the threshold. The command that chosen is the icon that appears when the decision is made. Based on the experiment, the average accuracy of the system is 89.79% which verify that the system can be used to help people with ALS to control their room facilities.","PeriodicalId":304532,"journal":{"name":"2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132964216","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 : 2017-10-01DOI: 10.1109/ICEEIE.2017.8328781
I. M. Wirawan, H. Herwanto, I. Wahyono
Programming Competition is a learning media for students in the field of computer programming. In computer programming competitions, students need to understand algorithms, mathematics and data structures. This research develops the Virtual Programming Lab UM (VPLUM) system that is used to support programming competition at university, national and international level and can also be applied as learning media for students to do their own study either at university or at home. The study concluded that the assessment data for media programming reached 90.5%, the results for programming content were 89%, the design and model expert's results were 88%, and the average result in groups and online tests was 80% and the average overall value of VPLUM is 90.8%.
{"title":"Virtual programming laboratory UM (VLPUM) for programming competition","authors":"I. M. Wirawan, H. Herwanto, I. Wahyono","doi":"10.1109/ICEEIE.2017.8328781","DOIUrl":"https://doi.org/10.1109/ICEEIE.2017.8328781","url":null,"abstract":"Programming Competition is a learning media for students in the field of computer programming. In computer programming competitions, students need to understand algorithms, mathematics and data structures. This research develops the Virtual Programming Lab UM (VPLUM) system that is used to support programming competition at university, national and international level and can also be applied as learning media for students to do their own study either at university or at home. The study concluded that the assessment data for media programming reached 90.5%, the results for programming content were 89%, the design and model expert's results were 88%, and the average result in groups and online tests was 80% and the average overall value of VPLUM is 90.8%.","PeriodicalId":304532,"journal":{"name":"2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132993364","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 : 2017-10-01DOI: 10.1109/iceeie.2017.8328761
Didi Susilo Budi Utomo, Ansar Rizal, A. F. O. Gaffar
Brushless DC (BLDC) motor control system is consisted of a multi-variable, non-linear, strong-coupling system, which is used to present robust and adaptive abilities. The interest in emerging intelligent controller for BLDC motor has been increased significantly. Neural Control is an ANN (Artificial Neural Network) based control method whereby the available data is the result of measuring the dynamic behavior of the system. This capability is well suited to be applied to adaptive control systems where the controller requires adaptation due to changes in system behavior. ANN was used to build the inverse model of BLDC motor speed. This model was then used as controller. In order to obtain control schemes that have good dynamic responses, MRAC concept was applied.
{"title":"Model reference neural adaptive control based BLDC motor speed control","authors":"Didi Susilo Budi Utomo, Ansar Rizal, A. F. O. Gaffar","doi":"10.1109/iceeie.2017.8328761","DOIUrl":"https://doi.org/10.1109/iceeie.2017.8328761","url":null,"abstract":"Brushless DC (BLDC) motor control system is consisted of a multi-variable, non-linear, strong-coupling system, which is used to present robust and adaptive abilities. The interest in emerging intelligent controller for BLDC motor has been increased significantly. Neural Control is an ANN (Artificial Neural Network) based control method whereby the available data is the result of measuring the dynamic behavior of the system. This capability is well suited to be applied to adaptive control systems where the controller requires adaptation due to changes in system behavior. ANN was used to build the inverse model of BLDC motor speed. This model was then used as controller. In order to obtain control schemes that have good dynamic responses, MRAC concept was applied.","PeriodicalId":304532,"journal":{"name":"2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116397213","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 : 2017-10-01DOI: 10.1109/ICEEIE.2017.8328779
Wang Zhi-hao, D. Kurniadi, Kung Yu-Fan, Hendrick, Jong Gwo-Jia, Horng Gwo-Jiun
Recently, social welfare concept is the most important thing to be improved in society, especially for body and mind health. Controlling both of these aspects should get top priority in terms of service from a related institution which has the duty to handle the society. A lot of real case in the field still have a problem such time delay that mainly caused by the limited human resources. In fact, many people become worse and must be rushed to the hospital. According to these circumstances, we provided Arduino chip module that had expandability function to the smart handheld device. This device has the great characteristic which is a light and small size that equipped with heart rate (HR) sensor in this embedded chip Arduino module and then capable to communicate with the integration of wireless Bluetooth transmission. By using this module, people be able to care and do real-time monitor in their daily health even though they are an as disabled situation. For the case study of medical rehabilitation can offer the related data to diagnose and adjust the case health exact situation for doctors.
{"title":"Wireless network home health care system of social welfare institution","authors":"Wang Zhi-hao, D. Kurniadi, Kung Yu-Fan, Hendrick, Jong Gwo-Jia, Horng Gwo-Jiun","doi":"10.1109/ICEEIE.2017.8328779","DOIUrl":"https://doi.org/10.1109/ICEEIE.2017.8328779","url":null,"abstract":"Recently, social welfare concept is the most important thing to be improved in society, especially for body and mind health. Controlling both of these aspects should get top priority in terms of service from a related institution which has the duty to handle the society. A lot of real case in the field still have a problem such time delay that mainly caused by the limited human resources. In fact, many people become worse and must be rushed to the hospital. According to these circumstances, we provided Arduino chip module that had expandability function to the smart handheld device. This device has the great characteristic which is a light and small size that equipped with heart rate (HR) sensor in this embedded chip Arduino module and then capable to communicate with the integration of wireless Bluetooth transmission. By using this module, people be able to care and do real-time monitor in their daily health even though they are an as disabled situation. For the case study of medical rehabilitation can offer the related data to diagnose and adjust the case health exact situation for doctors.","PeriodicalId":304532,"journal":{"name":"2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127004132","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 : 2017-10-01DOI: 10.1109/ICEEIE.2017.8328758
M. R. Faiz, D. Widhiyanuriyawan, E. Siswanto, I.N.G. Wardana
Dye-Sensitized Solar Cell (DSSC) in recent years have become widespread concern due to of their low production costs, abundant of the raw material reserves, simple of fabrication, and friendly to environment. Here, we provide the performance of chlorophyll as natural green pigment for dye sensitizer in dye-sensitized solar cell. Density Functional Theory (DFT) computation and computation of Time Dependent Density Functional Theory (TD-DFT) was used to investigate UV-Vis absorption spectra, light harvesting efficiency (LHE), energy level, and electron injection efficiency (Oinject) which determine solar conversion efficiency. Using chlorophyll resulted in dye-sensitized solar cell that shown high potential requirement standard for light harvesting.
染料敏化太阳能电池(Dye-Sensitized Solar Cell, DSSC)因其生产成本低、原料储量丰富、制作简单、对环境友好等优点，近年来受到广泛关注。在此，我们提供了叶绿素作为染料敏化太阳能电池染料敏化剂的天然绿色色素的性能。采用密度泛函理论(DFT)计算和时间相关密度泛函理论(TD-DFT)计算，研究了决定太阳能转换效率的紫外-可见吸收光谱、光收集效率(LHE)、能级和电子注入效率(Oinject)。叶绿素的应用使染料敏化太阳能电池具有较高的光收集潜力。
{"title":"Theoretical study on the application of natural green pigment for sensitizer in dye-sensitized solar cell (DSSC)","authors":"M. R. Faiz, D. Widhiyanuriyawan, E. Siswanto, I.N.G. Wardana","doi":"10.1109/ICEEIE.2017.8328758","DOIUrl":"https://doi.org/10.1109/ICEEIE.2017.8328758","url":null,"abstract":"Dye-Sensitized Solar Cell (DSSC) in recent years have become widespread concern due to of their low production costs, abundant of the raw material reserves, simple of fabrication, and friendly to environment. Here, we provide the performance of chlorophyll as natural green pigment for dye sensitizer in dye-sensitized solar cell. Density Functional Theory (DFT) computation and computation of Time Dependent Density Functional Theory (TD-DFT) was used to investigate UV-Vis absorption spectra, light harvesting efficiency (LHE), energy level, and electron injection efficiency (Oinject) which determine solar conversion efficiency. Using chlorophyll resulted in dye-sensitized solar cell that shown high potential requirement standard for light harvesting.","PeriodicalId":304532,"journal":{"name":"2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127602332","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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