{"title":"Highly Conductive Liquid Metal Electrode Based Stretchable Piezoelectric-Enhanced Triboelectric Nanogenerator for Harvesting Irregular Mechanical Energy","authors":"Changjun Yang, Jian He, Yonghong Guo, Dongyang Zhao, Xiaojuan Hou, Jixin Zhong, Shengnan Zhang, Min Cui, Xiujian Chou","doi":"10.2139/ssrn.3805255","DOIUrl":"https://doi.org/10.2139/ssrn.3805255","url":null,"abstract":"Abstract Triboelectric nanogenerator (TENG) and piezoelectric nanogenerator (PENG) present excellent performances in harvesting multivariant mechanical energy. However, the conductivity of electrode has become one of the important factors restricting the mechanical energy acquisition under the large deformation and multiple freedom degrees. In this work, a highly conductive stretchable electrode based piezoelectric-enhanced triboelectric nanogenerator (P-TENG) with outstanding performance is reported. Ultra-flexible silicone rubber based triboelectric part with surface modification and piezoelectric part with BaTiO3 dispersed possess excellent electrical and mechanical property, at the same time, the stretchable electrode based on liquid metal could maintain low resistance even under large deformation. The peak to peak open-circuit voltage (VOC) and short-circuit current (ISC) of P-TENG could reach 1.38 kV and 36.13 μA, respectively. The instantaneous power density can reach 1.1 mW/cm2 and the charge quantity in single capacitor charging circle is approximately 0.30 μC. It also has the surpassing force-electrical linearity that the output voltage positively correlating to stretching speeds and stretching rates. The resistance increments of electrode below 0.32 Ω under stretching rate more than 200% and the percentage of breaking elongation could reach 645%. In applying experiments, the P-TENG could directly light 16 LEDs and effectively identify the motion signals. This work provides a new thought for nanogenerator (NG) with high stretchability and applied to collect irregular mechanical energy.","PeriodicalId":340262,"journal":{"name":"ChemRN: Energy Systems (Topic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127015060","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":"Performance Analysis of Energy Efficient Scalable Heirarchial Protocol for Homogeneous Network","authors":"Greeshma Arya, D. Chauhan","doi":"10.31224/osf.io/tkbsm","DOIUrl":"https://doi.org/10.31224/osf.io/tkbsm","url":null,"abstract":"Wireless Sensor nodes connect the physical world to the digital world using smart, tiny and self configured stand alone devices. These small devices offer pack of brilliant opportunities to the digital world by capturing and revealing real time events which later used as data cloud in numerous applications. With impressive improvements in protocols, node level programming, simulation platforms and middleware developments sensor nodes have become promising options in the development of smart cities, gas and chemical industry, precision agriculture etc. However, these industrial application demands more lifetime and faster-secure data transmissions. In many applications it is recorded that with increase in network size LEACH routing protocol functioning degenerate. Further, designing of a promising routing protocol that can maintain less energy consumption during data gathering and propagation leads to use of variety of approaches. This work is based on the abstraction of equal distribution of energy among nodes with scalability. Experimental results show commendable improvement in network lifespan with residual energy of nodes to last for longer period. Throughput is also monitored considering scalability","PeriodicalId":340262,"journal":{"name":"ChemRN: Energy Systems (Topic)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127236074","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}
R. Mane, Bhushan Batule, Nikita Lomte, Aniket D. Gundecha
{"title":"RF Energy Harvesting using Efficient Power Management System","authors":"R. Mane, Bhushan Batule, Nikita Lomte, Aniket D. Gundecha","doi":"10.2139/ssrn.3646199","DOIUrl":"https://doi.org/10.2139/ssrn.3646199","url":null,"abstract":"The paper presents an RF energy harvesting system consisting of a Microstrip antenna, matching circuit, voltage multiplier circuit followed by robust control algorithms for DC-DC signal processing. Here the antenna is fabricated only for the 1800 MHz of the GSM band. The output of the antenna is about 0.3mV at matching circuit output and amplified output for the 5.256V at the output of the voltage multiplier circuit is achieved. Further, the control algorithms help in achieving the optimum maintained output of the entire system.","PeriodicalId":340262,"journal":{"name":"ChemRN: Energy Systems (Topic)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122864390","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}
Yuvaraj Natarajan, R.Arshath Raja, Dr. N.V. Kousik, Prashant Johri
{"title":"Improved Energy Efficient Wireless Sensor Networks Using Multicast Particle Swarm Optimization","authors":"Yuvaraj Natarajan, R.Arshath Raja, Dr. N.V. Kousik, Prashant Johri","doi":"10.2139/ssrn.3555764","DOIUrl":"https://doi.org/10.2139/ssrn.3555764","url":null,"abstract":"In this paper we propose to use a piezoelectric method with Multicast Particle Swarm Optimization (PSO) to increase the lifespan of sensor Node. The goal of the research is to maximize the consumption of energy in wireless networks. The lifetime of the sensor node is increased in this context by regenerating the electric effect produced by piezoelectric crystals in sensor nodes from natural resources. This regenerating approach creates electrical results that increase the longevity of the network from the natural resources. The outcome of the experiment indicates that the approach suggested increases the lifespan of existing methods.","PeriodicalId":340262,"journal":{"name":"ChemRN: Energy Systems (Topic)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126376726","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":"Energy Efficient Communication in Mobile Sensor Networks Based on Clusters","authors":"D. A","doi":"10.2139/ssrn.3353647","DOIUrl":"https://doi.org/10.2139/ssrn.3353647","url":null,"abstract":"Mobile Sensor Networks (MSN) energy of the battery operated nodes is the most vulnerable resource of the MSN. In a clustering approach, the Cluster Head node loses a significant amount of energy during transmission to base station. So the selection of Cluster Head is very critical. In this work a centralized protocol for Cluster Head selection in MSN is discussed, which is run at the base station, thus reducing the nodes' energy consumption and increasing their life-time. The primary idea is implemented using a fuzzy-logic based selection of Cluster Head from among the nodes of network, which is concluded depending on two parameters, the current energy of the node and the distance of the node from the base station. The simulation results show increasing the network lifetime.","PeriodicalId":340262,"journal":{"name":"ChemRN: Energy Systems (Topic)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127768728","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":"New About the Balancing of Thermal Motors","authors":"N. Petrescu, F. Petrescu","doi":"10.2139/ssrn.3445153","DOIUrl":"https://doi.org/10.2139/ssrn.3445153","url":null,"abstract":"The paper presents a new method of balancing the thermal motors, the method that perfectly fits the engines with modern internal combustion. This new constructive method imposes a new in-line engine design in order to better balance it, thus achieving a static balancing and total dynamics of the new type of internal combustion heat engine. The method can also be extended to external combustion thermal engines.","PeriodicalId":340262,"journal":{"name":"ChemRN: Energy Systems (Topic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130991113","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":"Machine Learning Forecasts of Public Transport Demand: A Comparative Analysis of Supervised Algorithms Using Smart Card Data","authors":"Sebastián M. Palacio","doi":"10.2139/ssrn.3165303","DOIUrl":"https://doi.org/10.2139/ssrn.3165303","url":null,"abstract":"Public transport smart cards are widely used around the world. However, while they provide information about various aspects of passenger behavior, they have not been properly exploited to predict demand. Indeed, traditional methods in economics employ linear unbiased estimators that pay little attention to accuracy, which is the main problem faced by the sector's regulators. This paper reports the application of various supervised machine learning (SML) techniques to smart card data in order to forecast demand, and it compares these outcomes with traditional linear model estimates. We conclude that the forecasts obtained from these algorithms are much more accurate.","PeriodicalId":340262,"journal":{"name":"ChemRN: Energy Systems (Topic)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114673048","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":"Automobile Industry: Past, Present and Future","authors":"Ashwin Showi","doi":"10.2139/ssrn.3150440","DOIUrl":"https://doi.org/10.2139/ssrn.3150440","url":null,"abstract":"The International Automobile Industry has seen a plethora of change over the years, not only in terms of the technology put to use but also in terms of the ways in which our vehicles now look and drive like. In this research paper with the topic “Automobile Industry: Past, Present and Future” the researcher by means of inputs from various sources, and on the deductions based on such inputs, has tried to find out how internationalisation has made the Automobile Industry of now and how the automobile industry has influenced the world economies. A journey to track its past, sail through its present and predict its possible future.","PeriodicalId":340262,"journal":{"name":"ChemRN: Energy Systems (Topic)","volume":"118 33","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113945278","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}
Apurba Sakti, K. Gallagher, N. Sepulveda, C. Uckun, Claudio R. Vergara, F. D. de Sisternes, D. Dees, A. Botterud
{"title":"Enhanced Representations of Lithium-Ion Batteries in Power Systems Models and Their Effect on the Valuation of Energy Arbitrage Applications","authors":"Apurba Sakti, K. Gallagher, N. Sepulveda, C. Uckun, Claudio R. Vergara, F. D. de Sisternes, D. Dees, A. Botterud","doi":"10.2139/ssrn.2868414","DOIUrl":"https://doi.org/10.2139/ssrn.2868414","url":null,"abstract":"Abstract We develop three novel enhanced mixed integer-linear representations of the power limit of the battery and its efficiency as a function of the charge and discharge power and the state of charge of the battery, which can be directly implemented in large-scale power systems models and solved with commercial optimization solvers. Using these battery representations, we conduct a techno-economic analysis of the performance of a 10 MWh lithium-ion battery system testing the effect of a 5-min vs. a 60-min price signal on profits using real time prices from a selected node in the MISO electricity market. Results show that models of lithium-ion batteries where the power limits and efficiency are held constant overestimate profits by 10% compared to those obtained from an enhanced representation that more closely matches the real behavior of the battery. When the battery system is exposed to a 5-min price signal, the energy arbitrage profitability improves by 60% compared to that from hourly price exposure. These results indicate that a more accurate representation of li-ion batteries as well as the market rules that govern the frequency of electricity prices can play a major role on the estimation of the value of battery technologies for power grid applications.","PeriodicalId":340262,"journal":{"name":"ChemRN: Energy Systems (Topic)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122059201","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}