Journal of green engineering最新文献

{"title":"Smart Distribution Network with Integrationof Stochastic Renewable Energy Sourcesand Plug-in Electric Vehicles:Challenges and Issues","authors":"K. R. Reddy, S. Meikandasivam","doi":"10.13052/JGE1904-4720.841","DOIUrl":"https://doi.org/10.13052/JGE1904-4720.841","url":null,"abstract":"In order to ensure the longevity of electricity supply for human living and comfort on earth, electric grid should be an intelligent, well established, automated and more importantly environmental friendly energized network. Demand crises and CO2 emissions all over the globe have led to deploy more number of Renewable Energy Sources (RESs). The Smart grid technologies are becoming the most important entities in the electric power sector, in terms of modernizing the legacy grid with high-level penetration of RES and maintain reliability and quality of electric power. Exploitation of advanced technologies to optimize the power usage and reduce greenhouse gasses emission is inevitably the main concerns for the electric utility. RES integration brought so many issues along with their advantages. Plug-in Electric Vehicles (PEV) during last decade has shown drastic market growth with reduced cost and higher energy density storage. Bulk number of PEV integration with uncoordinated charging schedule is a big hurdle to power system operation. This paper mainly focuses on the challenges and issues that will arise in Smart Distribution System (SDS) because of high-level penetration of both RES and PEV. The impacts of intermittent PES and uncoordinated PEVs Journal of Green Engineering, Vol. 8 4, 431–474. River Publishers doi: 10.13052/jge1904-4720.841 This is an Open Access publication. c © 2018 the Author(s). All rights reserved. 432 K. Ramakrishna Reddy and S. Meikandasivam on distribution network stability are discussed. Exploitation of PEV as a storage unit with bi-directional power flow is discussed to mitigate solar and wind power generation fluctuations. Real time data from Danish distribution network is used for case study to demonstrate PEV utilization for grid ancillary support.","PeriodicalId":168498,"journal":{"name":"Journal of green engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132453552","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}

{"title":"Effective Utilization of Job Shop Schedulingin Auto Industries with the aid of SocialSpider Optimization","authors":"K. B. Gavali, A. Bewoor, Debabrata Barik","doi":"10.13052/JGE1904-4720.842","DOIUrl":"https://doi.org/10.13052/JGE1904-4720.842","url":null,"abstract":"For promising outcome in auto industries, scheduling place a vital role for effective utilization of jobs allocate to machine. Jobs and machines are two attributes need to schedule for minimize makespan time, for each job we need to schedule the machine. Each job in a machine has its own process time, manipulation of all process time said to be makespan time that should minimized. Job shop scheduling is an effective tool incorporate with NP hard problems to achieve minimized makespan time. To achieve minimized makespan time optimization involve in this process those are namely Grey Wolf Optimization (GWO), Particle Swarm Optimization (PSO) and Social Spider Optimization (SSO). While applying these aforementioned optimization techniques, they reveal minimized makespan time compare with benchmark problems. Amid, SSO revels minimized makespan time for all twelve-bench mark problems compare with other competitive algorithm namely GWO and PSO. These techniques play a vital role to regulate the emissions during real time auto industries trial and error process on job shop Journal of Green Engineering, Vol. 8 4, 475–496. River Publishers doi: 10.13052/jge1904-4720.842 This is an Open Access publication. c © 2018 the Author(s). All rights reserved. 476 K. B. Gavali et al. scheduling. Therefore, the soft computing techniques contribute significant part on conserving environment from air pollution.","PeriodicalId":168498,"journal":{"name":"Journal of green engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123799643","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}

{"title":"Analysis of Multi Level Current SourceInverter for LowTorque Applications","authors":"R. Mahalakshmi, K. Deepa, K. Thampatty","doi":"10.13052/JGE1904-4720.846","DOIUrl":"https://doi.org/10.13052/JGE1904-4720.846","url":null,"abstract":"This paper proposes a control strategy for a multi-level Current Source Inverter (CSI) which acts as an interface between renewable energy sources such as wind, solar, fuel cell etc. and grid/loads to satisfy the power demand. The control strategy aims to reduce the number of switches and the number of input sources used in the CSI and obtain an output with least Total Harmonic Distortion (THD) and increased number of levels (13). The proposed system uses seven switches and three current sources to obtain a 13 level output. The new control strategy is tested in different operating conditions in a split phase single phase low torque induction motor. The Simulation model is developed in MATLAB/Simulink. THDs of 13 level outputs from current source inverter is analyzed and compared in detail. A comparative analysis of the proposed CSI with existing CSI topologies is made. It is observed that the proposed topology uses less number of switches and inductors to obtain different levels at the output. The proposed inverter provides better performance with satisfactory results.","PeriodicalId":168498,"journal":{"name":"Journal of green engineering","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128206304","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}

{"title":"Cost Analysis for Conversionof Conventional Vehicle into Plug-InHybrid Electric Vehicle","authors":"P. K. Gujarathi, Varsha A. Shah, M. Lokhande","doi":"10.13052/JGE1904-4720.843","DOIUrl":"https://doi.org/10.13052/JGE1904-4720.843","url":null,"abstract":"","PeriodicalId":168498,"journal":{"name":"Journal of green engineering","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127197291","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}

{"title":"Optimization Techniques for Operationand Control of Microgrids – Review","authors":"C. Suchetha, J. Ramprabhakar","doi":"10.13052/JGE1904-4720.847","DOIUrl":"https://doi.org/10.13052/JGE1904-4720.847","url":null,"abstract":"Microgrid systems show great promise in integrating large numbers of distributed generation systems, based on renewable energy sources into future power systems. The characteristics of power generated by renewable energy sources is random, unregulated and highly unreliable, vowing to the stochastic nature of the sources like wind, solar etc. While integrating the locally generated power into grid sounds very attractive, there are many operational and planning concerns. Also, a major chunk of power generated is weather dependent, this makes an energy storage system and/or backup power generation system an imperative part of microgrids. A proper planning and designing is the first step towards integrated power. Optimization techniques justify cost of investment of a Microgrid by enabling economic and reliable usage of resources. This paper summarizes various optimization methodologies and criterion for optimization of Microgrids. Extensive study of published literature show that computational alternatives like evolutionary, heuristic and non-classical algorithms show better results when compared to other conventional methods. The study of multi-objective optimization problems shows superior performance by combining intelligent optimization algorithms with adaptive techniques. Journal of Green Engineering, Vol. 8 4, 621–644. River Publishers doi: 10.13052/jge1904-4720.847 This is an Open Access publication. c © 2018 the Author(s). All rights reserved. 622 C. Suchetha and J. Ramprabhakar","PeriodicalId":168498,"journal":{"name":"Journal of green engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115278775","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}

{"title":"Dynamic Voltage Restorer (DVR) – A Review","authors":"V. Remya, P. Parthiban, V. Ansal, B. Babu, Kancheepuram Chennai India Manufacturing","doi":"10.13052/JGE1904-4720.844","DOIUrl":"https://doi.org/10.13052/JGE1904-4720.844","url":null,"abstract":"Power quality (PQ) is gaining a great deal of importance as more sensitive loads are introduced into the utility grid. The degradation of product quality, damage of equipment and temporary shutdowns are the general issues associated with PQ problems in industries. Any mal-operation or damage of the industrial sensitive loads results in monetary losses disproportionately higher than the severity of the PQ issues. The evolution of power electronics technology replaced the traditional power quality mitigation methods with the introduction of Custom Power System devices (CUPS). The major power electronic controller based CUPS are DSTATCOM, DVR and UPQC. DVR is a pertinent solution for the economic losses caused by the PQ issues in the industries. Among the CUPS, DVR is the most cost-effective one. In the published literature, only a few papers correspond to the review of DVR technology. In this paper, a systematic review of published literature is conducted and a description is given on the design, standards and challenges in the DVR technology. A detailed survey is conducted on the published Journal of Green Engineering, Vol. 8 4, 519–572. River Publishers doi: 10.13052/jge1904-4720.844 This is an Open Access publication. c © 2018 the Author(s). All rights reserved. 520 V. K. Remya et al. literature to address the various aspects and issues in the DVR system. This paper arrangement gives the working principle, structure, various topologies, compensation techniques, voltage sag detection methods and control methods of the DVR under different sections. The section “Challenges faced by the DVR” included in the manuscript can be useful for the researchers beginning their work in the domain of DVR. The simulation results using the sim power system tool of MATLAB/Simulink software are provided for analysis and comparison.","PeriodicalId":168498,"journal":{"name":"Journal of green engineering","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121408626","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}

{"title":"Fuzzy Controller Based Solar PhotovoltaicSystem, Fuel Cell Integration forConditioning the Electrical Power","authors":"Ravi Dharavath, I. Raglend","doi":"10.13052/JGE1904-4720.835","DOIUrl":"https://doi.org/10.13052/JGE1904-4720.835","url":null,"abstract":"In the present world, the solar photovoltaic system plays an essential role in the modern power systems due to inertialess, abundant and freely available in nature. But the intermittent nature of the solar photovoltaic system is unable to provide continuous power supply. The proposed system should be highly reliable, secured with sufficient quantity and quality. Providing continuous supply is a great challenge in the present power system. One such solution is to bring the reliable and flexible power by introducing the solar photovoltaic, battery storage and fuel cell system. In this work, the integration of Solar Photovoltaic, battery with a fuel cell system is considered to provide the seamless power continuously. The solar power is extracted using fuzzy control based maximum power point tracking method which can be fed with DC bus using the boost converter. The battery storage system is connected to the DC bus using the bi-directional converter. The switching pulses for the bi-directional converter are generated using a PI controller based on the battery state of the charge. The Proton Exchange Membrane (PEM) fuel cell is used as a secondary source to maintain the flexible power at the DC bus system. The DC bus power can be fed to the load and the excessive power can be integrated with the grid through the synchronization process. The proposed structure stabilizes the DC link voltage and the grid voltages even under dynamic conditions of intermittent solar power and load variations Journal of Green Engineering, Vol. 8 3, 301–318. River Publishers doi: 10.13052/jge1904-4720.835 This is an Open Access publication. c © 2018 the Author(s). All rights reserved. 302 Ravi Dharavath and I. Jacob Raglend respectively. This can be accomplished utilizing the battery storage with a bi-directional converter and PEM fuel cell. The load sharing from the grid and the grid connected hybrid generation through the voltage source converter operation is performed and the load is stabilized. The simultaneous change of both the performance of grid synchronization and DC link stabilization of planned hybrid system is simulated using MATLAB/Simulink.","PeriodicalId":168498,"journal":{"name":"Journal of green engineering","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121817359","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}

{"title":"Assessment and Enhancementof Distribution System Reliabilityby Renewable Energy Sourcesand Energy Storage","authors":"Y. Kifle, B. Khan, Pawan Singh","doi":"10.13052/JGE1904-4720.832","DOIUrl":"https://doi.org/10.13052/JGE1904-4720.832","url":null,"abstract":"","PeriodicalId":168498,"journal":{"name":"Journal of green engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122072847","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}

{"title":"Structural Behaviour Benefits of a HybridSteel-bamboo Emergency House","authors":"R. Lezcano, J. M. Garca, Susana Hormigos Jimnez","doi":"10.13052/jge1904-4720.837","DOIUrl":"https://doi.org/10.13052/jge1904-4720.837","url":null,"abstract":"According to the need of emergency houses all around the world, the development of a prototype (low cost and high strength structure) which could be placed anywhere becomes essential. This placement could be in susceptible areas to earthquakes, floods or armed conflicts. It has been studied the behaviour of a steel-bamboo hybrid structure compared with a steelaluminium hybrid one (in terms of strength). Finite elements software has been used to simulate both models. It has been obtained the maximum quantity of bamboo which can be placed in the prototype achieving the optimum design. As far as strength is concerned, steel-aluminium is better than steel-bamboo; even though, it exists minimum difference (9.16%), which is despicable considering the advantages of bamboo. When using bamboo as alternative material, displacement varies because of the density of the elements. The structural model becomes lighter and, according to that, it supposes an increase in the displacement (about 0.4 mm).","PeriodicalId":168498,"journal":{"name":"Journal of green engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129509410","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}

{"title":"State Estimation Based Neural Network in Wind Speed Forecasting: A Non Iterative Approach","authors":"D. R. Chandra, M. S. Kumari, M. Sydulu, V. Ramaiah","doi":"10.13052/JGE1904-4720.833","DOIUrl":"https://doi.org/10.13052/JGE1904-4720.833","url":null,"abstract":"Renewable energy sources have gained a lot of importance in today’s power generation. These sources of energy are pollution free and freely available in nature. Wind is the most prominent energy source among the renewable energy sources. Increased wind penetration into the existing power system will create reliability problems for grid operation and management. Wind speed forecasting is an important issue in wind power grid integration as it is chaotic in nature. This paper presents a new State Estimation based Neural Network (SENN) for day ahead (24 hours ahead) wind speed forecasting and its performance has been compared with traditional Back Propagation Neural Network (BPNN). SENN is a non iterative technique, where the weights between input-hidden and hidden-output layers are estimated using a Weighted Least Square State Estimation (WLSSE) approach. It accounts noise associated with input and output data, giving accurate results without any iteration. This method is quite efficient and faster compared to conventional Back Propagation Neural Network (BPNN). Journal of Green Engineering, Vol. 8 3, 263–282. River Publishers doi: 10.13052/jge1904-4720.833 This is an Open Access publication. c © 2018 the Author(s). All rights reserved. 264 D. R. Chandra et al.","PeriodicalId":168498,"journal":{"name":"Journal of green engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130894881","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}