Pub Date : 2015-04-01DOI: 10.4018/IJEOE.2015040105
Sule Atasever, P. Bozkurt, M. Canel
Electrical and electronic apparatus and instruments which are obsolete value in use or completion of the life can be defined as e-waste. E-waste is one of the fastest growing types of hazardous waste. Printed circuit boards a major component of this waste. In this study, printed circuit board particles of mobile phone (MPCB) were used as electronic waste. MPCB waste was obtained from a local electronic waste factory. The elemental analysis and ICP-MS analysis were performed on these electronic wastes and thereafter pyrolysis runs were carried out between 500 and 900°C in a horizontal furnace. The liquid yields were determined and compared at different temperatures.
{"title":"Pyrolysis of Waste Printed Circuit Board Particles","authors":"Sule Atasever, P. Bozkurt, M. Canel","doi":"10.4018/IJEOE.2015040105","DOIUrl":"https://doi.org/10.4018/IJEOE.2015040105","url":null,"abstract":"Electrical and electronic apparatus and instruments which are obsolete value in use or completion of the life can be defined as e-waste. E-waste is one of the fastest growing types of hazardous waste. Printed circuit boards a major component of this waste. In this study, printed circuit board particles of mobile phone (MPCB) were used as electronic waste. MPCB waste was obtained from a local electronic waste factory. The elemental analysis and ICP-MS analysis were performed on these electronic wastes and thereafter pyrolysis runs were carried out between 500 and 900°C in a horizontal furnace. The liquid yields were determined and compared at different temperatures.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133977101","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 : 2014-10-01DOI: 10.4018/ijeoe.2014100102
M. A. Waheed, O. Samuel, Bukola Olalekan Bolaji, O. Dairo
The present work deals with the production of biodiesel from Nigerian restaurant waste cooking oil (NRWCO) and the optimization of the parameters that influences the alkaline transesterification of NRWCO into biodiesel using response surface methodology. The optimization parameters like oil: oil/methanol molar ratio, catalyst amount and reaction time were done using Design Expert 6.06 software. It was found that the maximum yield of biodiesel was obtained in 79.8 min for 1: 5.9, oil: methanol ratio, 1.2 wt. % KOH amount. A total of 20 experiments using Central Composite Design were carried out. The R2, adjusted R2 and predicted R2 values were 0.982, 0.9657 and 0.9088 respectively show that the experimental values are in good agreement with the predicted values. The properties of biodiesel at the optimized parameters, thus, produced confirm to the ASTM, EN and BIS specifications, making it an ideal alternative fuel for diesel engine.
{"title":"Optimization of Nigerian Restaurant Waste Cooking Biodiesel Reaction Parameters using Response Surface Methodology","authors":"M. A. Waheed, O. Samuel, Bukola Olalekan Bolaji, O. Dairo","doi":"10.4018/ijeoe.2014100102","DOIUrl":"https://doi.org/10.4018/ijeoe.2014100102","url":null,"abstract":"The present work deals with the production of biodiesel from Nigerian restaurant waste cooking oil (NRWCO) and the optimization of the parameters that influences the alkaline transesterification of NRWCO into biodiesel using response surface methodology. The optimization parameters like oil: oil/methanol molar ratio, catalyst amount and reaction time were done using Design Expert 6.06 software. It was found that the maximum yield of biodiesel was obtained in 79.8 min for 1: 5.9, oil: methanol ratio, 1.2 wt. % KOH amount. A total of 20 experiments using Central Composite Design were carried out. The R2, adjusted R2 and predicted R2 values were 0.982, 0.9657 and 0.9088 respectively show that the experimental values are in good agreement with the predicted values. The properties of biodiesel at the optimized parameters, thus, produced confirm to the ASTM, EN and BIS specifications, making it an ideal alternative fuel for diesel engine.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129209942","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 : 2014-10-01DOI: 10.4018/ijeoe.2014100103
Vikram Kumar Kamboj, S. K. Bath
Biogeography Based Optimization (BBO) algorithm is a population-based algorithm based on biogeography concept, which uses the idea of the migration strategy of animals or other spices for solving optimization problems. Biogeography Based Optimization algorithm has a simple procedure to find the optimal solution for the non-smooth and non-convex problems through the steps of migration and mutation. This research paper presents the solution to Economic Load Dispatch Problem for IEEE 3, 4, 6 and 10-unit generating model using Biogeography Based Optimization algorithm. It also presents the mathematical formulation of scalar and multi-objective unit commitment problem, which is a further extension of economic load dispatch problem.
{"title":"Scope of Biogeography Based Optimization for Economic Load Dispatch and Multi-Objective Unit Commitment Problem","authors":"Vikram Kumar Kamboj, S. K. Bath","doi":"10.4018/ijeoe.2014100103","DOIUrl":"https://doi.org/10.4018/ijeoe.2014100103","url":null,"abstract":"Biogeography Based Optimization (BBO) algorithm is a population-based algorithm based on biogeography concept, which uses the idea of the migration strategy of animals or other spices for solving optimization problems. Biogeography Based Optimization algorithm has a simple procedure to find the optimal solution for the non-smooth and non-convex problems through the steps of migration and mutation. This research paper presents the solution to Economic Load Dispatch Problem for IEEE 3, 4, 6 and 10-unit generating model using Biogeography Based Optimization algorithm. It also presents the mathematical formulation of scalar and multi-objective unit commitment problem, which is a further extension of economic load dispatch problem.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116306751","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 : 2014-10-01DOI: 10.4018/ijeoe.2014100105
A. Sarkar
Clean Development Mechanism (CDM) is defined as one of the “flexibility†mechanisms that allows entities based in Developed Countries (Annex I Parties) to develop emission-reducing projects in Developing Countries (non-Annex I Parties), and generate tradable carbon credits corresponding to the volume of carbon emission reductions achieved by those projects. CDM projects have been developed in several parts of the world across the sectoral economies, including renewable energy, with reportedly varying degrees of success and failures. In the renewable energy segment, CDM has been successfully deployed in Micro-Hydel power projects to mitigate and offset green-house gas emissions into the environment. The experiences of different implementing states are vastly different in past decade. CDM applications in Micro-Hydel projects have been quite notable to generate hydro-power and mitigate emissions in the state. This paper takes a holistic review about the current status in the performance of CDM projects in India, with special reference to Himachal Pradesh, particularly in the context of Small (Micro)-Hydel projects with a very high renewable energy potential. The achievements as well as strategy of implementation of Small-Hydel projects in Himachal Pradesh is discussed in the light of selected case studies of CDM projects that are at various stages of formulation, designing and implementation. Guidelines for CDM project designing and the potential for carbon markets for the hydro-power in the context of Himachal Pradesh is discussed. Some of the shortcomings in implementation of Micro-Hydel CDM project in the State are also discussed and highlighted in the paper. The paper has also examined the status of implementation and the quality of projects in the form of illustrative case studies in terms of their ability for energy extraction, creating energy trading opportunities, and stakeholder participation in sharing the project benefits during the lifetime as well as the beyond the life-time of the projects.
{"title":"Application of Clean Development Mechanism (CDM) in Renewable Energy Generation from Micro-Hydel Projects of Himachal Pradesh","authors":"A. Sarkar","doi":"10.4018/ijeoe.2014100105","DOIUrl":"https://doi.org/10.4018/ijeoe.2014100105","url":null,"abstract":"Clean Development Mechanism (CDM) is defined as one of the “flexibility†mechanisms that allows entities based in Developed Countries (Annex I Parties) to develop emission-reducing projects in Developing Countries (non-Annex I Parties), and generate tradable carbon credits corresponding to the volume of carbon emission reductions achieved by those projects. CDM projects have been developed in several parts of the world across the sectoral economies, including renewable energy, with reportedly varying degrees of success and failures. In the renewable energy segment, CDM has been successfully deployed in Micro-Hydel power projects to mitigate and offset green-house gas emissions into the environment. The experiences of different implementing states are vastly different in past decade. CDM applications in Micro-Hydel projects have been quite notable to generate hydro-power and mitigate emissions in the state. This paper takes a holistic review about the current status in the performance of CDM projects in India, with special reference to Himachal Pradesh, particularly in the context of Small (Micro)-Hydel projects with a very high renewable energy potential. The achievements as well as strategy of implementation of Small-Hydel projects in Himachal Pradesh is discussed in the light of selected case studies of CDM projects that are at various stages of formulation, designing and implementation. Guidelines for CDM project designing and the potential for carbon markets for the hydro-power in the context of Himachal Pradesh is discussed. Some of the shortcomings in implementation of Micro-Hydel CDM project in the State are also discussed and highlighted in the paper. The paper has also examined the status of implementation and the quality of projects in the form of illustrative case studies in terms of their ability for energy extraction, creating energy trading opportunities, and stakeholder participation in sharing the project benefits during the lifetime as well as the beyond the life-time of the projects.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125755923","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 : 2014-10-01DOI: 10.4018/ijeoe.2015010102
A. Mukherjee, S. Paul, P. Roy
Transient stability constrained optimal power flow (TSC-OPF) is a non-linear optimization problem which is not easy to deal directly because of its huge dimension. In order to solve the TSC-OPF problem efficiently, a relatively new optimization technique named teaching learning based optimization (TLBO) is proposed in this paper. TLBO algorithm simulates the teaching–learning phenomenon of a classroom to solve multi-dimensional, linear and nonlinear problems with appreciable efficiency. Like other nature-inspired algorithms, TLBO is also a population-based method and uses a population of solutions to proceed to the global solution. The authors have explained in detail, the basic philosophy of this method. In this paper, the authors deal with the comparison of other optimization problems with TLBO in solving TSC-OPF problem. Case studies on IEEE 30-bus system WSCC 3-generator, 9-bus system and New England 10-generator, 39-bus system indicate that the proposed TLBO approach is much more computationally efficient than the other popular methods and is promising to solve TSC-OPF problem.
{"title":"Transient Stability Constrained Optimal Power Flow Using Teaching Learning Based Optimization","authors":"A. Mukherjee, S. Paul, P. Roy","doi":"10.4018/ijeoe.2015010102","DOIUrl":"https://doi.org/10.4018/ijeoe.2015010102","url":null,"abstract":"Transient stability constrained optimal power flow (TSC-OPF) is a non-linear optimization problem which is not easy to deal directly because of its huge dimension. In order to solve the TSC-OPF problem efficiently, a relatively new optimization technique named teaching learning based optimization (TLBO) is proposed in this paper. TLBO algorithm simulates the teaching–learning phenomenon of a classroom to solve multi-dimensional, linear and nonlinear problems with appreciable efficiency. Like other nature-inspired algorithms, TLBO is also a population-based method and uses a population of solutions to proceed to the global solution. The authors have explained in detail, the basic philosophy of this method. In this paper, the authors deal with the comparison of other optimization problems with TLBO in solving TSC-OPF problem. Case studies on IEEE 30-bus system WSCC 3-generator, 9-bus system and New England 10-generator, 39-bus system indicate that the proposed TLBO approach is much more computationally efficient than the other popular methods and is promising to solve TSC-OPF problem.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123802108","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 : 2014-07-01DOI: 10.4018/ijeoe.2014070105
A. Jayachandran, R. Dhanasekaran
Brain tumor segmentation is an significant method in medical image analysis since it provides an information related to anatomical structures as well as possible anomalous tissues necessary to treatment planning and patient follow-up. In this paper, fuly automatic brain tumor segmentation scheme is presented, which focuses on the structural analysis on both tumorous and normal tissues. Our proposed method consists of three major steps: i) tumor region location ii) feature extraction using wavelet iii) feature reduction using principe component analysis and iii) classification using Ada-Boost classifier . The experimental results are validated using the evaluation metrics such as, sensitivity, specificity, and accuracy. The authors proposed system is compared to other neural network classifier such as Feed Forward Neural Network(FFNN) and Radial Basics Function (RBF). The classification accuracy of the proposed system results is better compared to other leading methods.
{"title":"Computer Assisted Diagnosis of Tumor in Brain MRI Images using Wavelet as input to Ada-Boost classifier","authors":"A. Jayachandran, R. Dhanasekaran","doi":"10.4018/ijeoe.2014070105","DOIUrl":"https://doi.org/10.4018/ijeoe.2014070105","url":null,"abstract":"Brain tumor segmentation is an significant method in medical image analysis since it provides an information related to anatomical structures as well as possible anomalous tissues necessary to treatment planning and patient follow-up. In this paper, fuly automatic brain tumor segmentation scheme is presented, which focuses on the structural analysis on both tumorous and normal tissues. Our proposed method consists of three major steps: i) tumor region location ii) feature extraction using wavelet iii) feature reduction using principe component analysis and iii) classification using Ada-Boost classifier . The experimental results are validated using the evaluation metrics such as, sensitivity, specificity, and accuracy. The authors proposed system is compared to other neural network classifier such as Feed Forward Neural Network(FFNN) and Radial Basics Function (RBF). The classification accuracy of the proposed system results is better compared to other leading methods.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133410638","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 : 2014-07-01DOI: 10.4018/ijeoe.2014070102
Y. Kantar, I. Arik
In recent years, the Weibull distribution has been commonly used and recommended to model the wind speed. Therefore, many estimators have been proposed to find the best method to estimate the parameters of the Weibull distribution. Particularly, the estimator based on regression procedures with the Weibull probability plot are often used because of its computational simplicity and graphical presentation. However, when the procedure is applied, in many cases heteroscedasticity or non-normality of the error terms may be encountered. One way to handle this problem is using transformation techniques. In this study, the regression estimation based on data transformation is considered to estimate the parameters of the Weibull distribution. The simulation results show that the considered estimator based on the data transformation for the shape parameter of the Weibull distribution provides better performance than least squares estimator in terms of bias and mean square errors for the most of the considered cases.
{"title":"The Use of the Data Transformation Techniques in Estimating the Shape Parameter of the Weibull Distribution for the Wind Speed","authors":"Y. Kantar, I. Arik","doi":"10.4018/ijeoe.2014070102","DOIUrl":"https://doi.org/10.4018/ijeoe.2014070102","url":null,"abstract":"In recent years, the Weibull distribution has been commonly used and recommended to model the wind speed. Therefore, many estimators have been proposed to find the best method to estimate the parameters of the Weibull distribution. Particularly, the estimator based on regression procedures with the Weibull probability plot are often used because of its computational simplicity and graphical presentation. However, when the procedure is applied, in many cases heteroscedasticity or non-normality of the error terms may be encountered. One way to handle this problem is using transformation techniques. In this study, the regression estimation based on data transformation is considered to estimate the parameters of the Weibull distribution. The simulation results show that the considered estimator based on the data transformation for the shape parameter of the Weibull distribution provides better performance than least squares estimator in terms of bias and mean square errors for the most of the considered cases.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"306 2-3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131987938","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 : 2014-07-01DOI: 10.4018/ijeoe.2014070103
V. Chauhan, P. A. Kishan, S. Gedupudi
A combined refrigeration and power cycle, which uses ammonia-water as the working fluid, is proposed by combining Rankine and vapour absorption cycles with an advantage of varying refrigeration capacity to power output ratio. The study investigates the usage of low temperature heat sources for the cycle operation. Results of parametric analysis are presented, which show the scope for optimization. Results of thermodynamic optimization of the cycle for second law efficiency performed using genetic algorithm for different ambient temperatures are also presented. The cycle shows good potential for obtaining refrigeration and power generation.
{"title":"Combined Cycle for Power Generation and Refrigeration Using Low Temperature Heat Sources","authors":"V. Chauhan, P. A. Kishan, S. Gedupudi","doi":"10.4018/ijeoe.2014070103","DOIUrl":"https://doi.org/10.4018/ijeoe.2014070103","url":null,"abstract":"A combined refrigeration and power cycle, which uses ammonia-water as the working fluid, is proposed by combining Rankine and vapour absorption cycles with an advantage of varying refrigeration capacity to power output ratio. The study investigates the usage of low temperature heat sources for the cycle operation. Results of parametric analysis are presented, which show the scope for optimization. Results of thermodynamic optimization of the cycle for second law efficiency performed using genetic algorithm for different ambient temperatures are also presented. The cycle shows good potential for obtaining refrigeration and power generation.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117157536","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 : 2014-07-01DOI: 10.4018/ijeoe.2014070106
M. Dhamodaran, R. Dhanasekaran
This paper presents comparative studies on different numerical methods like method of moments (MOM), Boundary Element Method (BEM), Finite element method (FEM), Finite difference method (FDM), Charge Simulation method (CSM) and Surface charge method. The evaluation of the capacitance of various structures having different geometrical shapes is importance to study the behavior of electrostatic charge analysis. The MOM is based upon the transformation of an integral equation, into a matrix equation by employing expansion of the unknown in terms of known basis functions with unknown coefficients such as charge distribution and hence the capacitance is to be determined. To illustrate the usefulness of this technique, apply these methods to the computation of capacitance of different conducting shapes. This paper reviews the results of computing the capacitance-per-unit length with the other methods. The capacitance of charged conducting plates is reviewed by different methods.
{"title":"Comparison of Computational Electromagnetics for Electrostatic Analysis","authors":"M. Dhamodaran, R. Dhanasekaran","doi":"10.4018/ijeoe.2014070106","DOIUrl":"https://doi.org/10.4018/ijeoe.2014070106","url":null,"abstract":"This paper presents comparative studies on different numerical methods like method of moments (MOM), Boundary Element Method (BEM), Finite element method (FEM), Finite difference method (FDM), Charge Simulation method (CSM) and Surface charge method. The evaluation of the capacitance of various structures having different geometrical shapes is importance to study the behavior of electrostatic charge analysis. The MOM is based upon the transformation of an integral equation, into a matrix equation by employing expansion of the unknown in terms of known basis functions with unknown coefficients such as charge distribution and hence the capacitance is to be determined. To illustrate the usefulness of this technique, apply these methods to the computation of capacitance of different conducting shapes. This paper reviews the results of computing the capacitance-per-unit length with the other methods. The capacitance of charged conducting plates is reviewed by different methods.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"255 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122462869","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 : 2014-07-01DOI: 10.4018/ijeoe.2014070107
S. Aiswariya, Syed Ammal
This paper proposes an AC-DC converter with the application of active type soft switching techniques. Boost converter with active snubber is used to achieve power factor correction. Boost converter main switch uses Zero Voltage Transition switching for turn on and Zero Current Transition switching for turn off. The active snubber auxillary switch uses Zero Current Switching for both turn on and turn off. Since all the switches of the proposed circuit are soft switched, overall component stress has been greatly reduced and the output DC voltage is expected to have low ripples. A small amount of auxillary switch current is made to flow to the output side by the help of coupling inductor. The proposed circuit is simulated using MATLAB Simulink. All the related waveforms are shown for the reference. The power factor is measured as 0.99 showing that the input current and input voltage is in phase with each other. The PFC circuit has very less number of components with smaller size and can be controlled easily at a wide line and load range.
{"title":"An AC/DC PFC Converter with Active Soft Switching Technique","authors":"S. Aiswariya, Syed Ammal","doi":"10.4018/ijeoe.2014070107","DOIUrl":"https://doi.org/10.4018/ijeoe.2014070107","url":null,"abstract":"This paper proposes an AC-DC converter with the application of active type soft switching techniques. Boost converter with active snubber is used to achieve power factor correction. Boost converter main switch uses Zero Voltage Transition switching for turn on and Zero Current Transition switching for turn off. The active snubber auxillary switch uses Zero Current Switching for both turn on and turn off. Since all the switches of the proposed circuit are soft switched, overall component stress has been greatly reduced and the output DC voltage is expected to have low ripples. A small amount of auxillary switch current is made to flow to the output side by the help of coupling inductor. The proposed circuit is simulated using MATLAB Simulink. All the related waveforms are shown for the reference. The power factor is measured as 0.99 showing that the input current and input voltage is in phase with each other. The PFC circuit has very less number of components with smaller size and can be controlled easily at a wide line and load range.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124102827","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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