Pub Date : 2018-10-01DOI: 10.1109/ICEPE.2018.8559797
A. D. L. Rosa, G. Ursan, Mihaela Aradoaei, Maria Ursan, C. Schreiner
Microwave activated adhesives were manufactured, at laboratory scale, with micro-nanosized fillers embedded in traditional thermoplastic matrix. These metal-based susceptors are highly loss materials (e.g.: iron and aluminium micro/nano-powders), which rapidly heat-up by means of the microwaves/radio frequency irradiation. The heat is then transferred to the matrix through conventional heat transfer. This is a very effective technology to create reversible adhesives suitable for many applications in various industries including the automotive and the aerospace industry. Susceptor technology is a good way to replace traditional hot-melt adhesives. Hot-melt adhesives are thermoplastic bonding materials applied as melts that achieve a solid state and resultant strength on cooling. These thermoplastics of 100% solid materials melt in the temperature range from 65 °C to 180 °C. Theoretically, any thermoplastic can be a hot-melt adhesive, however, preferred materials are usually solid up to 79.4 °C or higher. Metal particles are suitable for susceptor materials that create hysteresis heating-based Curie temperature control for polymer processing. The electrical properties of the reinforcement are mainly used for matrix melting by induction heating. Induction heating has several features, including high efficiency and economic benefits and environmental benefits. In this study we investigated a formulation of MW/activated adhesives made of LDPE mixed with aluminium micro-particles. An optimization of the best materials concentration and dimensions was carried out according with the electro-magnetic performances evaluated.
{"title":"Susceptor Assisted Microwave Processing of Polymers for Adhesive Production","authors":"A. D. L. Rosa, G. Ursan, Mihaela Aradoaei, Maria Ursan, C. Schreiner","doi":"10.1109/ICEPE.2018.8559797","DOIUrl":"https://doi.org/10.1109/ICEPE.2018.8559797","url":null,"abstract":"Microwave activated adhesives were manufactured, at laboratory scale, with micro-nanosized fillers embedded in traditional thermoplastic matrix. These metal-based susceptors are highly loss materials (e.g.: iron and aluminium micro/nano-powders), which rapidly heat-up by means of the microwaves/radio frequency irradiation. The heat is then transferred to the matrix through conventional heat transfer. This is a very effective technology to create reversible adhesives suitable for many applications in various industries including the automotive and the aerospace industry. Susceptor technology is a good way to replace traditional hot-melt adhesives. Hot-melt adhesives are thermoplastic bonding materials applied as melts that achieve a solid state and resultant strength on cooling. These thermoplastics of 100% solid materials melt in the temperature range from 65 °C to 180 °C. Theoretically, any thermoplastic can be a hot-melt adhesive, however, preferred materials are usually solid up to 79.4 °C or higher. Metal particles are suitable for susceptor materials that create hysteresis heating-based Curie temperature control for polymer processing. The electrical properties of the reinforcement are mainly used for matrix melting by induction heating. Induction heating has several features, including high efficiency and economic benefits and environmental benefits. In this study we investigated a formulation of MW/activated adhesives made of LDPE mixed with aluminium micro-particles. An optimization of the best materials concentration and dimensions was carried out according with the electro-magnetic performances evaluated.","PeriodicalId":343896,"journal":{"name":"2018 International Conference and Exposition on Electrical And Power Engineering (EPE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131606754","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 : 2018-10-01DOI: 10.1109/ICEPE.2018.8559827
Pragma Kar, Samiran Chattopadhyay, O. Ivanov, M. Gavrilas
Peak load shaving is a main objective sought by electricity utilities, for technical and economic reasons. The increasing use of renewable resources and the environmental regulations placed on fossil fuel electricity generation bring new challenges in the operation of highly loaded electricity networks, especially at peak hours. One way of addressing these problems is load reduction using methods such as Demand Response (DR). DR programs are in place worldwide mainly for industrial clients, while approaches for residential consumers are mostly theoretical, with a few pilot projects underway. This paper proposes a Particle Swarm Optimization-based algorithm for Demand Response at MV/LV substation level, where the DR level requested by the utility for a substation is distributed between the customers in the LV network according to preset comfort levels and other optimization criteria - affected number of users, affected comfort levels, network balancing and loss reduction.
{"title":"Optimal Demand Response Allocation in LV Distribution Networks Using the PSO Algorithm","authors":"Pragma Kar, Samiran Chattopadhyay, O. Ivanov, M. Gavrilas","doi":"10.1109/ICEPE.2018.8559827","DOIUrl":"https://doi.org/10.1109/ICEPE.2018.8559827","url":null,"abstract":"Peak load shaving is a main objective sought by electricity utilities, for technical and economic reasons. The increasing use of renewable resources and the environmental regulations placed on fossil fuel electricity generation bring new challenges in the operation of highly loaded electricity networks, especially at peak hours. One way of addressing these problems is load reduction using methods such as Demand Response (DR). DR programs are in place worldwide mainly for industrial clients, while approaches for residential consumers are mostly theoretical, with a few pilot projects underway. This paper proposes a Particle Swarm Optimization-based algorithm for Demand Response at MV/LV substation level, where the DR level requested by the utility for a substation is distributed between the customers in the LV network according to preset comfort levels and other optimization criteria - affected number of users, affected comfort levels, network balancing and loss reduction.","PeriodicalId":343896,"journal":{"name":"2018 International Conference and Exposition on Electrical And Power Engineering (EPE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121056110","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 : 2018-10-01DOI: 10.1109/ICEPE.2018.8559650
B. Virlan, A. Simion, A. Munteanu, I. Nacu, L. Livadaru
This paper aims to describe the design of a low speed synchronous generator with permanent magnets, which can be part of a vertical axis wind turbine. The particularity of this generator is the fractional slot number design – 18 slots and 20 permanent magnets - and external rotor construction.
{"title":"Fractional Slot Permanent Magnet Synchronous Generator for Vertical Axis Wind Turbines","authors":"B. Virlan, A. Simion, A. Munteanu, I. Nacu, L. Livadaru","doi":"10.1109/ICEPE.2018.8559650","DOIUrl":"https://doi.org/10.1109/ICEPE.2018.8559650","url":null,"abstract":"This paper aims to describe the design of a low speed synchronous generator with permanent magnets, which can be part of a vertical axis wind turbine. The particularity of this generator is the fractional slot number design – 18 slots and 20 permanent magnets - and external rotor construction.","PeriodicalId":343896,"journal":{"name":"2018 International Conference and Exposition on Electrical And Power Engineering (EPE)","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123327830","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 : 2018-10-01DOI: 10.1109/ICEPE.2018.8559776
Raducu Gavrilescu, C. Zet, C. Fosalau, M. Skoczylas, David Coţovanu
The objective of the paper is to present an example on how to use the latest image processing algorithms to detect traffic indicators safely enough to be used while driving a car. The conclusion of the paper is that the Faster Regional based Convolutional Neural Network (Faster R-CNN) algorithm has qualities in terms of accuracy and speed that make it suitable to be used in such applications. Faster R-CNN is a result of merging Region Proposal Network (RPN) and Fast-RCNN algorithms into a single network. For increasing the video processing power, a Graphics Processing Unit (GPU) was employed for training and testing at a speed of 15 fps on a dataset containing 3000 images for 4 classes. The dataset is composed of images containing the three phases of a traffic light and the STOP indicator.
{"title":"Faster R-CNN:an Approach to Real-Time Object Detection","authors":"Raducu Gavrilescu, C. Zet, C. Fosalau, M. Skoczylas, David Coţovanu","doi":"10.1109/ICEPE.2018.8559776","DOIUrl":"https://doi.org/10.1109/ICEPE.2018.8559776","url":null,"abstract":"The objective of the paper is to present an example on how to use the latest image processing algorithms to detect traffic indicators safely enough to be used while driving a car. The conclusion of the paper is that the Faster Regional based Convolutional Neural Network (Faster R-CNN) algorithm has qualities in terms of accuracy and speed that make it suitable to be used in such applications. Faster R-CNN is a result of merging Region Proposal Network (RPN) and Fast-RCNN algorithms into a single network. For increasing the video processing power, a Graphics Processing Unit (GPU) was employed for training and testing at a speed of 15 fps on a dataset containing 3000 images for 4 classes. The dataset is composed of images containing the three phases of a traffic light and the STOP indicator.","PeriodicalId":343896,"journal":{"name":"2018 International Conference and Exposition on Electrical And Power Engineering (EPE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116504309","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 : 2018-10-01DOI: 10.1109/ICEPE.2018.8559897
P. Jankowski, Andrzej Pilat, T. Tarasiuk
The article presents the results of experimental research into ship subsystem loaded with nonlinear load (thruster supplied by power electronic converter). The recorded voltages and currents were analyzed for chaotic behavior. Phase trajectories and Poincare maps were determined on the basis of registered samples to identify chaos state.
{"title":"The Study of Chaotic Behaviour in the Marine Power System Containing Nonlinear Varying Load","authors":"P. Jankowski, Andrzej Pilat, T. Tarasiuk","doi":"10.1109/ICEPE.2018.8559897","DOIUrl":"https://doi.org/10.1109/ICEPE.2018.8559897","url":null,"abstract":"The article presents the results of experimental research into ship subsystem loaded with nonlinear load (thruster supplied by power electronic converter). The recorded voltages and currents were analyzed for chaotic behavior. Phase trajectories and Poincare maps were determined on the basis of registered samples to identify chaos state.","PeriodicalId":343896,"journal":{"name":"2018 International Conference and Exposition on Electrical And Power Engineering (EPE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132602611","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 : 2018-10-01DOI: 10.1109/ICEPE.2018.8559858
Soumia Ayyadi, M. Maaroufi
Today many countries around the world have adopted Electric Vehicles (EVs) to reduce air pollution, oil consumption and fossil fuel dependence. Morocco is one of these sustainability based committed countries, especially that its transport sector depends on oil, which is entirely imported from outside of the country. In this sense, the aim of this paper is to predict the diffusion of EVs in Moroccan market by three models Gompertz, Logistic and Bass. Then the best model that fits well our data is chosen, based on R-square and the Mean Absolute Percentage Error (MAPE). In addition, we have assessed the interaction between the cumulative sales of EVs and the battery price, using the Generalized Bass Diffusion Model. Results show that the Moroccan market reaches the maximum sales of EVs, after 14 years and the battery cost has a great effect on the market diffusion, a decreasing of the battery price could accelerate the diffusion of EVs market.
{"title":"Diffusion Models For Predicting Electric Vehicles Market in Morocco","authors":"Soumia Ayyadi, M. Maaroufi","doi":"10.1109/ICEPE.2018.8559858","DOIUrl":"https://doi.org/10.1109/ICEPE.2018.8559858","url":null,"abstract":"Today many countries around the world have adopted Electric Vehicles (EVs) to reduce air pollution, oil consumption and fossil fuel dependence. Morocco is one of these sustainability based committed countries, especially that its transport sector depends on oil, which is entirely imported from outside of the country. In this sense, the aim of this paper is to predict the diffusion of EVs in Moroccan market by three models Gompertz, Logistic and Bass. Then the best model that fits well our data is chosen, based on R-square and the Mean Absolute Percentage Error (MAPE). In addition, we have assessed the interaction between the cumulative sales of EVs and the battery price, using the Generalized Bass Diffusion Model. Results show that the Moroccan market reaches the maximum sales of EVs, after 14 years and the battery cost has a great effect on the market diffusion, a decreasing of the battery price could accelerate the diffusion of EVs market.","PeriodicalId":343896,"journal":{"name":"2018 International Conference and Exposition on Electrical And Power Engineering (EPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130806546","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 : 2018-10-01DOI: 10.1109/ICEPE.2018.8559734
A. Dragomir, M. Adam, M. Andrusca, R. Burlica, Marian-Bogdan Micu, Stefan Patrichi
This paper presents how thermal stresses of electrical equipment can be simulated in order to anticipate the final temperature in some critical points of the equipment. The paper proposes to build a model with the purpose to estimate the thermal stresses of electrical equipment. Also, on an experimental stand will be performed tests to validate the thermal stresses obtained in the simulation, by using an infrared thermography device along with the interpretation procedure of the thermal infrared images.
{"title":"Simulating Electrical Connections in Terms of Thermal Stresses","authors":"A. Dragomir, M. Adam, M. Andrusca, R. Burlica, Marian-Bogdan Micu, Stefan Patrichi","doi":"10.1109/ICEPE.2018.8559734","DOIUrl":"https://doi.org/10.1109/ICEPE.2018.8559734","url":null,"abstract":"This paper presents how thermal stresses of electrical equipment can be simulated in order to anticipate the final temperature in some critical points of the equipment. The paper proposes to build a model with the purpose to estimate the thermal stresses of electrical equipment. Also, on an experimental stand will be performed tests to validate the thermal stresses obtained in the simulation, by using an infrared thermography device along with the interpretation procedure of the thermal infrared images.","PeriodicalId":343896,"journal":{"name":"2018 International Conference and Exposition on Electrical And Power Engineering (EPE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132874524","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 : 2018-10-01DOI: 10.1109/ICEPE.2018.8559612
G. Grigoraș, M. Gavrilas
In the paper, a forward/backward sweep algorithm based improved calculation method to estimate the power/energy losses in low voltage distribution networks is proposed. The method has the flexibility to access the input data, being able to work simultaneously with active and reactive power profiles provided by smart meters and typical profiles associated the consumers without smart meters, in function by energy consumption category and day type (weekend and working), knowing the daily energy indexes. The method was implemented in MatLab, and the obtained results for a real low voltage network are compared with those obtained using a professional software, namely DigSilent. The mean error calculated for the total energy losses was by 1.14 %. For the phase voltages in the farthest node, the mean errors were less than 0.25 %.
{"title":"An Improved Approach for Energy Losses Calculation in Low Voltage Distribution Networks based on the Smart Meter Data","authors":"G. Grigoraș, M. Gavrilas","doi":"10.1109/ICEPE.2018.8559612","DOIUrl":"https://doi.org/10.1109/ICEPE.2018.8559612","url":null,"abstract":"In the paper, a forward/backward sweep algorithm based improved calculation method to estimate the power/energy losses in low voltage distribution networks is proposed. The method has the flexibility to access the input data, being able to work simultaneously with active and reactive power profiles provided by smart meters and typical profiles associated the consumers without smart meters, in function by energy consumption category and day type (weekend and working), knowing the daily energy indexes. The method was implemented in MatLab, and the obtained results for a real low voltage network are compared with those obtained using a professional software, namely DigSilent. The mean error calculated for the total energy losses was by 1.14 %. For the phase voltages in the farthest node, the mean errors were less than 0.25 %.","PeriodicalId":343896,"journal":{"name":"2018 International Conference and Exposition on Electrical And Power Engineering (EPE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133241779","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 : 2018-10-01DOI: 10.1109/ICEPE.2018.8559863
M. Cenușă, M. Poienar, L. Milici
The paper presents a solution for improvement of the quality of electricity in low voltage networks. The proposed solution consists of a real-time monitoring system of voltage variation and switching of one-phase consumers from one-phase to another from distance and is based on the variation of the electrical voltage with the absorbed electric charge.
{"title":"Solution to improve the quality of electricity in low voltage networks","authors":"M. Cenușă, M. Poienar, L. Milici","doi":"10.1109/ICEPE.2018.8559863","DOIUrl":"https://doi.org/10.1109/ICEPE.2018.8559863","url":null,"abstract":"The paper presents a solution for improvement of the quality of electricity in low voltage networks. The proposed solution consists of a real-time monitoring system of voltage variation and switching of one-phase consumers from one-phase to another from distance and is based on the variation of the electrical voltage with the absorbed electric charge.","PeriodicalId":343896,"journal":{"name":"2018 International Conference and Exposition on Electrical And Power Engineering (EPE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114373708","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 : 2018-10-01DOI: 10.1109/ICEPE.2018.8559803
A. C. Ciocea F. Munteanu C. Nemes, F. Munteanu, C. Nemeş
The paper presents the failure modes, the effects and the criticality for each element in the architecture and operation of a photovoltaic system. A typical configuration is considered: photovoltaic panel, junction box, connection cables, controller, battery and inverter. The first part of this study generally describes the current state of the failure modes and effects for each element of the photovoltaic system. In the second part of the study is presented a structured case study based on the LACARP photovoltaic system that is part of LACARP’s laboratory of Faculty of Electrical Engineering of the “Gheorghe Asachi” Technical University of Iasi including customized criteria and indicators for each element of a photovoltaic system. This approach will help establishing the hierarchy and the integration of each failure mode and the level of rated power affected.
{"title":"Method to Assess the Degradation Risk of Photovoltaic Systems","authors":"A. C. Ciocea F. Munteanu C. Nemes, F. Munteanu, C. Nemeş","doi":"10.1109/ICEPE.2018.8559803","DOIUrl":"https://doi.org/10.1109/ICEPE.2018.8559803","url":null,"abstract":"The paper presents the failure modes, the effects and the criticality for each element in the architecture and operation of a photovoltaic system. A typical configuration is considered: photovoltaic panel, junction box, connection cables, controller, battery and inverter. The first part of this study generally describes the current state of the failure modes and effects for each element of the photovoltaic system. In the second part of the study is presented a structured case study based on the LACARP photovoltaic system that is part of LACARP’s laboratory of Faculty of Electrical Engineering of the “Gheorghe Asachi” Technical University of Iasi including customized criteria and indicators for each element of a photovoltaic system. This approach will help establishing the hierarchy and the integration of each failure mode and the level of rated power affected.","PeriodicalId":343896,"journal":{"name":"2018 International Conference and Exposition on Electrical And Power Engineering (EPE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114552427","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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