Pub Date : 2017-11-01DOI: 10.1109/ICRERA.2017.8191278
Alejandro Morales, D. Carvajal
A thermodynamic analysis of a direct contact humidifier in a Humidification-Dehumidification desalination system is presented. Applying mass and energy balances along the humidifier, a mathematical model was developed and a parametric study was carried out to study the effects of the inlet Temperature and mass flow rate of the seawater and air on the system performance. According to the obtained results, as the air mass flow rate increases, so the evaporation rate of the system does to a limit determined by the transversal area of the humidifier. In addition, increasing the sea water mass flow rate favors evaporation process because the temperature differences between the fluids gets bigger, however, increasing air mass flow represents a disadvantage in the energy consumption of the unit, so this is an important design parameter.
{"title":"Heat and mass transfer in a direct contact humidifier of a humidification-dehumidification desalination system","authors":"Alejandro Morales, D. Carvajal","doi":"10.1109/ICRERA.2017.8191278","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191278","url":null,"abstract":"A thermodynamic analysis of a direct contact humidifier in a Humidification-Dehumidification desalination system is presented. Applying mass and energy balances along the humidifier, a mathematical model was developed and a parametric study was carried out to study the effects of the inlet Temperature and mass flow rate of the seawater and air on the system performance. According to the obtained results, as the air mass flow rate increases, so the evaporation rate of the system does to a limit determined by the transversal area of the humidifier. In addition, increasing the sea water mass flow rate favors evaporation process because the temperature differences between the fluids gets bigger, however, increasing air mass flow represents a disadvantage in the energy consumption of the unit, so this is an important design parameter.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"7 1","pages":"273-278"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78077089","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191116
V. Msomi, O. Nemraoui
This paper reports on the performance improvement of the solar water heater (SWH) system through the incorporation of transparent nanomaterial called Fluorine doped Tin Oxide (FTO). Two identical solar water heaters were developed in order to study their performance. One system used normal glass while the other one used special glass. Thermocouples were installed in the inlet and the outlet for each system. The two thermocouples were to record the water temperature before entering the system and the water temperature leaving the system. The temperature data for the two systems are comparatively studied. It was discovered that the system with special glass produce water with higher temperature than the system with normal glass. This suggests That the incorporation of special glass allows more heat to be gained by the system.
{"title":"Improvement of the performance of solar water heater based on nanotechnology","authors":"V. Msomi, O. Nemraoui","doi":"10.1109/ICRERA.2017.8191116","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191116","url":null,"abstract":"This paper reports on the performance improvement of the solar water heater (SWH) system through the incorporation of transparent nanomaterial called Fluorine doped Tin Oxide (FTO). Two identical solar water heaters were developed in order to study their performance. One system used normal glass while the other one used special glass. Thermocouples were installed in the inlet and the outlet for each system. The two thermocouples were to record the water temperature before entering the system and the water temperature leaving the system. The temperature data for the two systems are comparatively studied. It was discovered that the system with special glass produce water with higher temperature than the system with normal glass. This suggests That the incorporation of special glass allows more heat to be gained by the system.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"98 1","pages":"524-527"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74632480","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191283
N. Ghanbari, H. Golzari, H. Mokhtari, M. Poshtan
Optimizing the size and finding the best location of required number of micro gas turbine running Distributed Generators (DG) to minimize the active power losses is the focus of this paper. Since the excitation field of the synchronous machines discussed in this paper is produced by permanent magnets, the reactive power is not controlled. To minimize the active power losses and satisfy the demand load, a two-stage approach has been proposed for the allocation and sizing of DGs in a distribution system with time-varying loads. The strategic placement of DGs can help to reduce energy losses and maintain the voltage within an acceptable boundary. The proposed method has been tested on a 9-bus test system.
{"title":"Optimum location for operation of small size distributed generators","authors":"N. Ghanbari, H. Golzari, H. Mokhtari, M. Poshtan","doi":"10.1109/ICRERA.2017.8191283","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191283","url":null,"abstract":"Optimizing the size and finding the best location of required number of micro gas turbine running Distributed Generators (DG) to minimize the active power losses is the focus of this paper. Since the excitation field of the synchronous machines discussed in this paper is produced by permanent magnets, the reactive power is not controlled. To minimize the active power losses and satisfy the demand load, a two-stage approach has been proposed for the allocation and sizing of DGs in a distribution system with time-varying loads. The strategic placement of DGs can help to reduce energy losses and maintain the voltage within an acceptable boundary. The proposed method has been tested on a 9-bus test system.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"5 1","pages":"300-303"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73636768","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191254
Alo Allik, A. Annuk
This paper explores the problems of the averaging and interpolation of electricity consumption and distributed photovoltaic energy generation data on higher than hour resolution levels. The paper compares different interpolation methods, like linear and spline interpolation and discusses modelling approaches for the energy data reconstruction on the basis of minutely and hourly data. The results are compared by analyzing ramp rates, residuals and self-consumption values of the generated datasets, to find the deviation between modeled and measured high resolution data. As a practical result correction factors were proposed to reevaluate self-consumption calculations made with aggregated input data.
{"title":"Interpolation of intra-hourly electricity consumption and production data","authors":"Alo Allik, A. Annuk","doi":"10.1109/ICRERA.2017.8191254","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191254","url":null,"abstract":"This paper explores the problems of the averaging and interpolation of electricity consumption and distributed photovoltaic energy generation data on higher than hour resolution levels. The paper compares different interpolation methods, like linear and spline interpolation and discusses modelling approaches for the energy data reconstruction on the basis of minutely and hourly data. The results are compared by analyzing ramp rates, residuals and self-consumption values of the generated datasets, to find the deviation between modeled and measured high resolution data. As a practical result correction factors were proposed to reevaluate self-consumption calculations made with aggregated input data.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"19 1","pages":"131-136"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73746067","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191206
Ahmad Alzahrani, P. Shamsi, M. Ferdowsi, C. Dagli
Solar irradiance prediction has a significant impact on various aspects of power system generation. The predictive models can be deployed to improve the planning and operation of renewable systems and can improve the power purchase process and bring several advantages to the power utilities. The irradiance is affected by several factors, such as clouds and dust, and it becomes challenging for physical models to predict and capture the dynamics. The statistical methods are commonly used to predict the irradiance. These methods include autoregressive moving average, support vector machine, and artificial neural network. Deficiencies and challenges of existing methods include low prediction accuracy, low scalability for big data, and inability to capture long-term dependencies. In this paper, a deep recurrent neural network is used to predict the solar irradiance. Deep recurrent neural network (DRNN) is an artificial neural network with more hidden layers to improve the complexity of the model and enable the extraction of high-level features. The neural network is trained, tested, and validated using real data from the National Resources in Canada. The simulation and experimental results are compared to other methods to illustrate the advantages using the proposed approach.
{"title":"Solar irradiance forecasting using deep recurrent neural networks","authors":"Ahmad Alzahrani, P. Shamsi, M. Ferdowsi, C. Dagli","doi":"10.1109/ICRERA.2017.8191206","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191206","url":null,"abstract":"Solar irradiance prediction has a significant impact on various aspects of power system generation. The predictive models can be deployed to improve the planning and operation of renewable systems and can improve the power purchase process and bring several advantages to the power utilities. The irradiance is affected by several factors, such as clouds and dust, and it becomes challenging for physical models to predict and capture the dynamics. The statistical methods are commonly used to predict the irradiance. These methods include autoregressive moving average, support vector machine, and artificial neural network. Deficiencies and challenges of existing methods include low prediction accuracy, low scalability for big data, and inability to capture long-term dependencies. In this paper, a deep recurrent neural network is used to predict the solar irradiance. Deep recurrent neural network (DRNN) is an artificial neural network with more hidden layers to improve the complexity of the model and enable the extraction of high-level features. The neural network is trained, tested, and validated using real data from the National Resources in Canada. The simulation and experimental results are compared to other methods to illustrate the advantages using the proposed approach.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"63 1","pages":"988-994"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84791097","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191265
Rami Al-Hajj, A. Assi, Mohamad M. Fouad
This paper presents predictive models based on dynamic recurrent neural networks DRNNs with short term delay units to predict daily solar radiation intensity. The proposed approach aims to evaluate the daily global solar radiation using simple recurrent neural networks (SRNNs) with meteorological data. First, we present a reference model based on a feed-forward multilayer perceptron (MLP), then we present several recurrent models of the same structure but with various number of delay units that memorize the outcomes of the recurrent model to be used in subsequent iterations. The obtained comparative results showed advantage of DRNNs over simple MLPs when we deal with time series meteorological records. The performance of the proposed approach has been evaluated using statistical analysis.
{"title":"A predictive evaluation of global solar radiation using recurrent neural models and weather data","authors":"Rami Al-Hajj, A. Assi, Mohamad M. Fouad","doi":"10.1109/ICRERA.2017.8191265","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191265","url":null,"abstract":"This paper presents predictive models based on dynamic recurrent neural networks DRNNs with short term delay units to predict daily solar radiation intensity. The proposed approach aims to evaluate the daily global solar radiation using simple recurrent neural networks (SRNNs) with meteorological data. First, we present a reference model based on a feed-forward multilayer perceptron (MLP), then we present several recurrent models of the same structure but with various number of delay units that memorize the outcomes of the recurrent model to be used in subsequent iterations. The obtained comparative results showed advantage of DRNNs over simple MLPs when we deal with time series meteorological records. The performance of the proposed approach has been evaluated using statistical analysis.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"46 1","pages":"195-199"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79661604","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191175
Z. Hajej, N. Rezg, Maryem Bouzoubaa
In this work, we treat a simultaneously integrated maintenance optimization problem for a power generation system by studying the case of wind turbine. The generation system composed by a wind turbine system in order to satisfy a randomly power demand under a given service level and during a finite horizon. The goal of this work is to develop a jointly energy production and maintenance strategy optimization for the wind turbine production system. An economical energy production plan and an optimal maintenance strategy are determined in order to minimize the total cost of production, holding and maintenance by establishing a relationship between the energy production rates and the deterioration degree of the wind turbine. The key of this work is to reflect the impact of the variation of the energy production rates on the failure rate of the wind turbine. A numerical illustration is presented in order to apply the developed approach.
{"title":"An integrated maintenance strategy for a power generation system under failure rate variation (case of wind turbine)","authors":"Z. Hajej, N. Rezg, Maryem Bouzoubaa","doi":"10.1109/ICRERA.2017.8191175","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191175","url":null,"abstract":"In this work, we treat a simultaneously integrated maintenance optimization problem for a power generation system by studying the case of wind turbine. The generation system composed by a wind turbine system in order to satisfy a randomly power demand under a given service level and during a finite horizon. The goal of this work is to develop a jointly energy production and maintenance strategy optimization for the wind turbine production system. An economical energy production plan and an optimal maintenance strategy are determined in order to minimize the total cost of production, holding and maintenance by establishing a relationship between the energy production rates and the deterioration degree of the wind turbine. The key of this work is to reflect the impact of the variation of the energy production rates on the failure rate of the wind turbine. A numerical illustration is presented in order to apply the developed approach.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"29 1","pages":"76-79"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83990071","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191277
Huan Ma, Qun Chen, K. Hu, Yuanhang Dai, Lei Chen, Fei Xu, Y. Min
An effective way to solve the problem of wind power curtailment is to install heat storage (HS) facilities in CHP plants. However, the existing power grid does not have the ability to schedule the heat storage facilities. In this paper, we have developed the combined heat and power dispatching system to schedule the power plants as well as the heat storage facilities for the maximum effect of wind power accommodation. The results show that cooperating with the existing scheduling system, the combined heat and power dispatching system has fine-tuned the initial schedules with the adjustment of the heat storage facilities to achieve the desired effect of improving the wind power consumption. Meanwhile, the maximum heat storage amount of the HS facility that limits the capacity of increasing wind power accommodation. What's more, the capacity can be affected when the heat load varies seasonally owing to the external characteristics of the CHP unit.
{"title":"A dispatch method of combined heat and power plants with heat storage facilities for wind power accommodation","authors":"Huan Ma, Qun Chen, K. Hu, Yuanhang Dai, Lei Chen, Fei Xu, Y. Min","doi":"10.1109/ICRERA.2017.8191277","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191277","url":null,"abstract":"An effective way to solve the problem of wind power curtailment is to install heat storage (HS) facilities in CHP plants. However, the existing power grid does not have the ability to schedule the heat storage facilities. In this paper, we have developed the combined heat and power dispatching system to schedule the power plants as well as the heat storage facilities for the maximum effect of wind power accommodation. The results show that cooperating with the existing scheduling system, the combined heat and power dispatching system has fine-tuned the initial schedules with the adjustment of the heat storage facilities to achieve the desired effect of improving the wind power consumption. Meanwhile, the maximum heat storage amount of the HS facility that limits the capacity of increasing wind power accommodation. What's more, the capacity can be affected when the heat load varies seasonally owing to the external characteristics of the CHP unit.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"9 1","pages":"262-272"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80171814","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191218
V. Rajini, W. M. Amutha
Increasing environmental pollutions, lack of power in remote places and demand for more energy makes us to seek new energy sources. Wind and solar hybrid energy have being popular ones owing to abundant, complement nature, ease of availability and convertibility to the electric energy. For hybridizing solar-wind system DC-AC or separate DC-DC converters are used one for each source. They will be connected to AD-DC or common DC-DC link to feed the loads according to the requirements. Such separate converters have the high count of elements and makes the system bulky and complex. This paper presents the performance comparison between separate cuk and buck converter and a single stage cuk-buck converter that integrates solar-wind renewable energy with battery backup using MATLAB/SIMULINK, to make best use of their operating characteristics and to achieve compactness and higher efficiency. FPGA controller is programmed for maintaining constant power at point of common coupling. An embedded controller based online state of charge estimation and battery charging system to suitably sink or source the input power based on the load demand is also carried out. Real time implementation of solar system with 1.5kW peak power, wind system with 1.4 kW and 48V, 200 Ah Lead-Acid batteries for powering 1200 Watts DC load is carried out to validate the theoretical approach.
{"title":"Real time implementation of a single stage converter based solar-wind hybrid system","authors":"V. Rajini, W. M. Amutha","doi":"10.1109/ICRERA.2017.8191218","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191218","url":null,"abstract":"Increasing environmental pollutions, lack of power in remote places and demand for more energy makes us to seek new energy sources. Wind and solar hybrid energy have being popular ones owing to abundant, complement nature, ease of availability and convertibility to the electric energy. For hybridizing solar-wind system DC-AC or separate DC-DC converters are used one for each source. They will be connected to AD-DC or common DC-DC link to feed the loads according to the requirements. Such separate converters have the high count of elements and makes the system bulky and complex. This paper presents the performance comparison between separate cuk and buck converter and a single stage cuk-buck converter that integrates solar-wind renewable energy with battery backup using MATLAB/SIMULINK, to make best use of their operating characteristics and to achieve compactness and higher efficiency. FPGA controller is programmed for maintaining constant power at point of common coupling. An embedded controller based online state of charge estimation and battery charging system to suitably sink or source the input power based on the load demand is also carried out. Real time implementation of solar system with 1.5kW peak power, wind system with 1.4 kW and 48V, 200 Ah Lead-Acid batteries for powering 1200 Watts DC load is carried out to validate the theoretical approach.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"140 3 1","pages":"1051-1057"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83023632","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191205
A. H. Dida, M. Bekhti
Currently, solar energy is the primary source of energy for space missions. The development of space systems is affected to many fields: the study of space itself, the science of materials and especially the field of energy. Indeed, solar panels are the only non-nuclear means that enable satellites in orbit to be fed continuously. The efficiency of these solar cells increases. Current triple junction solar cells reach 30% and the next generation will bring 35% in 5 years to peak at 40% In this research work, we had studied, modeled and simulated the electrical characteristics of the space satellite solar cells. Then, we had made a comparison between their efficiency to determine the best choice of solar cell which will bring the good performance to be used in the design of solar panel of our satellite. Finally, an experimental test bench was designed to study, measure and perform the electrical characterization of solar panel using the Arduino MEGA2560 board.
{"title":"Study, modeling and simulation of the electrical characteristic of space satellite solar cells","authors":"A. H. Dida, M. Bekhti","doi":"10.1109/ICRERA.2017.8191205","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191205","url":null,"abstract":"Currently, solar energy is the primary source of energy for space missions. The development of space systems is affected to many fields: the study of space itself, the science of materials and especially the field of energy. Indeed, solar panels are the only non-nuclear means that enable satellites in orbit to be fed continuously. The efficiency of these solar cells increases. Current triple junction solar cells reach 30% and the next generation will bring 35% in 5 years to peak at 40% In this research work, we had studied, modeled and simulated the electrical characteristics of the space satellite solar cells. Then, we had made a comparison between their efficiency to determine the best choice of solar cell which will bring the good performance to be used in the design of solar panel of our satellite. Finally, an experimental test bench was designed to study, measure and perform the electrical characterization of solar panel using the Arduino MEGA2560 board.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"1 1","pages":"983-987"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83079178","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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