2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy)最新文献_第4页

Reduction in liquid hydrogen by weight due to storage in different sizes of containers for varying period of time 由于在不同尺寸的容器中储存不同的时间，液氢的重量减少

2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy) Pub Date : 2017-12-01 DOI: 10.1109/TAPENERGY.2017.8397347

M. Gautam, K. S. Rao, B. Saxena

{"title":"Reduction in liquid hydrogen by weight due to storage in different sizes of containers for varying period of time","authors":"M. Gautam, K. S. Rao, B. Saxena","doi":"10.1109/TAPENERGY.2017.8397347","DOIUrl":"https://doi.org/10.1109/TAPENERGY.2017.8397347","url":null,"abstract":"To reduce the CO2 emissions, many countries have adopted renewable energy mix in their energy production. However, energy produced from renewable energy sources is intermittent in nature. The surplus energy generated from intermittent renewable energy sources is utilized for electrolysis of water to produce hydrogen. Then hydrogen is stored in the form of liquid or compressed gas for later utilization. H2 can be produced, stored, and utilized to generate electricity and water using fuel cell technology at a later time when demand arises. For this reason, an analysis of storage period in a storage medium is required. In this paper, five commercial electrolyzers are selected for hydrogen production. Amount of hydrogen produced from electrolysis of water, electrolyzer efficiencies, and H2 transmission losses for 500 km are estimated. Liquid hydrogen storage method is explained in this paper. Cost of liquefaction and cost of hydrogen storage at onsite and at hydrogen transport distance of 500 km are calculated. This paper attempts to analyze the loss pattern of stored liquid H2 with varying time in storage tanks of different sizes. By considering per day losses of 0.4%, 0.2%, and 0.06% for 50 m3, 100 m3, and 20,000 m3 storage tanks respectively, amount of residual hydrogen after six months, one year, and two years at onsite and at 500 km H2 transportation distance in 50 m3, 100 m3, and 20,000 m3 storage tanks are also estimated using MATLAB calculations. It can be seen from the results that for 20,000 m3 tank, the percentage of initial amount of H2 remaining after six months, one year, and two years are 99.94%, 80.33%, and 33.44% respectively. The corresponding values for small size containers reduce with reduction in size.","PeriodicalId":237016,"journal":{"name":"2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123098380","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}

引用次数: 4

Deep power: Deep learning architectures for power quality disturbances classification 深度功率:用于电能质量干扰分类的深度学习架构

2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy) Pub Date : 2017-12-01 DOI: 10.1109/TAPENERGY.2017.8397249

N. Mohan, K. Soman, R. Vinayakumar

{"title":"Deep power: Deep learning architectures for power quality disturbances classification","authors":"N. Mohan, K. Soman, R. Vinayakumar","doi":"10.1109/TAPENERGY.2017.8397249","DOIUrl":"https://doi.org/10.1109/TAPENERGY.2017.8397249","url":null,"abstract":"The transformation of the conventional electric power grid to modern smart grid are subjected to power system quality and reliability problems. In order to ensure reliable, secure and quality supply of power, it is important to characterize and classify the power quality disturbances. Power quality (PQ) disturbance classification schemes implicitly relies o n feature engineering to extract unique and accurate features such as statistical information, spatio-temporal characteristics, stationary and non-stationary behavior of PQ signals. This paper explores the potentiality of deep learning algorithms to characterize and classify various PQ disturbances in smart grid. Deep learning algorithms have the inherent capability to automatically learn optimal features from raw input data and thus to avoid time-consuming feature engineering. To understand the effectiveness of various deep learning mechanisms, different architectures namely convolution neural network (CNN), recurrent neural network (RNN), identity-recurrent neural network (I-RNN), long short-term memory (LSTM), gated recurrent units (GRU) and convolutional neural network-long short-term memory (CNN-LSTM) are studied in this paper. Several experiments are conducted to propose an optimal deep learning architecture with specific network parameters and topologies. The performance of the proposed deep learning architecture is evaluated on a set of synthetic single and combined PQ disturbances and real-time PQ events. The proposed architecture is found to be accurate for real-time characterization and classification of power quality disturbances in smart grid.","PeriodicalId":237016,"journal":{"name":"2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133249649","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}

引用次数: 75

Bernstein global optimization approach for distributed optimal power flow problem incorporating emission costs 考虑排放成本的分布式最优潮流问题的Bernstein全局优化方法

2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy) Pub Date : 2017-12-01 DOI: 10.1109/TAPENERGY.2017.8397243

B. Patir, L. Sampath, B. K. Ranjan, Ashok Krishnan, Y. Eddy

引用次数: 1

Design and performance enhancement of small scale solar PV fed PMDC motor based water pumping system using PI controlled FOCV method 基于PI控制FOCV方法的小型太阳能光伏供电PMDC电机抽水系统设计与性能提升

2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy) Pub Date : 2017-12-01 DOI: 10.1109/TAPENERGY.2017.8397293

S. Harish., S. Sankar, Vasishta Burugula, J. G. Moorthy, P. Raja

引用次数: 3

Fault tolerant FSM on FPGA using SEC-DED code algorithm 采用SEC-DED编码算法的FPGA上容错FSM

2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy) Pub Date : 2017-12-01 DOI: 10.1109/TAPENERGY.2017.8397309

S. Sooraj, M. Manasy, R. Bhakthavatchalu

{"title":"Fault tolerant FSM on FPGA using SEC-DED code algorithm","authors":"S. Sooraj, M. Manasy, R. Bhakthavatchalu","doi":"10.1109/TAPENERGY.2017.8397309","DOIUrl":"https://doi.org/10.1109/TAPENERGY.2017.8397309","url":null,"abstract":"This paper focuses on the design of an automatic error detection and correction of FSMs for soft errors. Single Event Upsets (SEUs) due to radiation impose an increasing problem to the reliable operation of FPGA used in communication, mile-aero, automotive and industrial designs. By developing safe case sequential logic and fault tolerant state machines with error mitigation circuitry logic, the FPGA design can be protected from SEUs. When a soft error occurs, these method ensures safe design operation by returning the design to a known safe or reset state of operation. This logic provides reliable system operation. The objective of this work is to implement automatic error detection and correction of FSMs for single event upsets is presented. We also analyze how bit errors within same clock cycle can be removed by the addition of error checking bits using SEC-DED code algorithm. The SEC-DED is commonly used as error detection and correction since it is more efficient t han p arity c hecker. T he S EC-DED c ode c an be used as the error detection and correction circuitry behind the FSMs to improve the reliable operation. The proposed architecture is simulated in VCS. This structure is synthesized in Xilinx Virtex 7 for implementing on FPGA. The result of the proposed design is analyzed and compared to determine its performance in terms of reliability.","PeriodicalId":237016,"journal":{"name":"2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114682330","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}

引用次数: 3

Estimation of Weibull parameters and wind power density at a wind farm site of Jogimatti at Chitradurga in Karnataka 卡纳塔克邦Chitradurga Jogimatti风电场站点的Weibull参数和风力密度估计

2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy) Pub Date : 2017-12-01 DOI: 10.1109/TAPENERGY.2017.8397349

M. Mohsin, B. Saxena, K. S. Rao

{"title":"Estimation of Weibull parameters and wind power density at a wind farm site of Jogimatti at Chitradurga in Karnataka","authors":"M. Mohsin, B. Saxena, K. S. Rao","doi":"10.1109/TAPENERGY.2017.8397349","DOIUrl":"https://doi.org/10.1109/TAPENERGY.2017.8397349","url":null,"abstract":"Wind power density is a crucial parameter for estimation and comparison of the potential of a wind farm with that of other sites. Wind speed distribution data are needed for the evaluation of wind power density at a particular location. In this study, calculation of monthly wind power density (WPD) at different heights for Jogimatti site at Chitradurga in Karnataka, India are investigated statistically by using measured wind data provided by National Institute of Wind Energy (NIWE) for the year 2014. Three different methods namely empirical relation method, energy pattern factor method (power density method), and moment method are used for estimating the Weibull parameters k (shape factor) and c (scale factor). Monthly Weibull parameters are estimated using above mentioned three methods using wind speed data at 30 m, 60 m, 90 m, and 120 m heights. Using k and c, WPD is estimated at wind mast heights of 30 m, 60 m, 90 m, and 120 m for all the twelve months by using the above three methods. Air density is calculated for the chosen site by extrapolating temperature and pressure data of 10 m (NASA data in RETScreen Expert software) to 30 m, 60 m, 90 m, and 120 m heights respectively by using the relations available in literature.","PeriodicalId":237016,"journal":{"name":"2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114731481","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}

引用次数: 0

Response of voltage source model of UPFC in an IEEE 5 bus system for power flow enhancement ieee5总线系统中UPFC电压源模型的响应分析

2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy) Pub Date : 2017-12-01 DOI: 10.1109/TAPENERGY.2017.8397279

S. Parvathy, K. Thampatty, T. Nambiar

引用次数: 11

Biological treatment of domestic wastewater by selected aquatic plants 选定水生植物对生活污水的生物处理

2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy) Pub Date : 2017-12-01 DOI: 10.1109/TAPENERGY.2017.8397350

P. Nagarajan, K. Sruthy, Veena P Lal, Veena P Devan, A. Krishna, Aarathi Lakshman, K. Vineetha, A. Madhavan, B. Nair, S. Pal

{"title":"Biological treatment of domestic wastewater by selected aquatic plants","authors":"P. Nagarajan, K. Sruthy, Veena P Lal, Veena P Devan, A. Krishna, Aarathi Lakshman, K. Vineetha, A. Madhavan, B. Nair, S. Pal","doi":"10.1109/TAPENERGY.2017.8397350","DOIUrl":"https://doi.org/10.1109/TAPENERGY.2017.8397350","url":null,"abstract":"Around 30 percent of the operating costs of conventional centralized wastewater treatment is required for energy to operate the machines for pump and aeration. Comparatively, constructed wetlands involving photosynthetic plants and other organisms have a lower energy requirement. The aim of the present work is to select aquatic plants which have high efficiency of removing infection in wastewater. Four plants were chosen from locally available plants growing in wastewater. They were put in raw wastewater from toilets for 24 h and were tested for their survival and growth measured by chlorophyll content. Brahmi (Bacopa monnieri) and Duckweed were found to be best compared to Azolla and Hydrilla. The efficiency of removal of enteric infections was done by culturing the treated wastewater on Eosin Methylene Blue (EMB) agar media, a selective and differential medium for enteric gram negative bacteria. The best performing plants were Brahmi and Hydrilla which reduced the load by 67–70%. But Hydrilla did not grow as well compared to Brahmi as evident from the chlorophyll content. Hence Brahmi and Duckweed can be considered as most effective for removal of infection in wastewater among the four tested plants and potentially may save energy and synthetic chemicals otherwise required for conventional treatment systems. Brahmi, famous for its high value medicinal compounds against neuronal problems, may be used for extraction of the compounds. The remaining biomass can be used as feedstock in anaerobic digester for methane/ethanol generation to be used as biofuel.","PeriodicalId":237016,"journal":{"name":"2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121875797","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}

引用次数: 2

Comparison of wind speed, wind directions, and weibull parameters for sites having same wind power density 风速、风向和威布尔参数在相同风力密度下的比较

2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy) Pub Date : 2017-12-01 DOI: 10.1109/TAPENERGY.2017.8397346

Akanksha Sharma, B. Saxena, K. S. Rao

{"title":"Comparison of wind speed, wind directions, and weibull parameters for sites having same wind power density","authors":"Akanksha Sharma, B. Saxena, K. S. Rao","doi":"10.1109/TAPENERGY.2017.8397346","DOIUrl":"https://doi.org/10.1109/TAPENERGY.2017.8397346","url":null,"abstract":"Energy sustainability is one of the main issues of present world because of the fast depletion of fossil fuels such as coal, petroleum, natural gas, etc. For energy sustainability, renewable energy sources like solar, wind, and biomass are successfully being exploited. The installed capacity of wind power has already reached 32.7 GW, which is about 55% of total renewable energy power plant capacity installed in India. To establish a wind power plant, wind power density of a site is to be estimated. Wind power density is an important parameter which indicates the wind energy potential of a site before installing a wind power plant. Wind is statistically represented by Weibull parameters k (shape parameter) and c (scale parameter). In this paper, sites with same wind power density are selected and their monthly mean wind speed, monthly standard deviation of mean wind speed, and Weibull parameters are compared. The Akal (Rajasthan) site is compared with Uswad (Maharashtra) site and Bassi (Rajasthan) site. Also, Lamba (Gujarat) site is compared with Taralkatti (Karnataka). Average, quadratic average, cubic average, and median of monthly Weibull parameters are calculated and compared. For the considered sites with same wind power density, the variation in calculated statistical parameters are found to be less. Percentage variation in statistical values of monthly Weibull parameters for Bassi and Usawad (in reference to Akal site) and Taralkatti (in reference to Lamba site) are calculated. Wind pattern for all considered sites are shown by drawing wind rose diagram using excel spreadsheet.","PeriodicalId":237016,"journal":{"name":"2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy)","volume":"5 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113977063","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}

引用次数: 7

Lateral control of an autonomous vehicle based on Pure Pursuit algorithm 基于纯寻迹算法的自动驾驶汽车横向控制

2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy) Pub Date : 2017-12-01 DOI: 10.1109/TAPENERGY.2017.8397361

Dhanya S. Lal, A. Vivek, Gopinath Selvaraj

引用次数: 11