J. V. Muruga Lal Jeyan

Bio: J. V. Muruga Lal Jeyan is an academic researcher from Lovely Professional University. The author has contributed to research in topics: Aerodynamics & Airfoil. The author has an hindex of 3, co-authored 26 publications receiving 28 citations. Previous affiliations of J. V. Muruga Lal Jeyan include PRIST University.

Comparative analysis of the impact of operating parameters on military and civil applications of mini unmanned aerial vehicle (UAV)

Abstract: Mini Unmanned Aerial Vehicle (UAV) provides cost effective solutions to a variety of applications. Hence, the flying platform is being increasingly used for a multitude of applications, both military and civil. However, the requirement of operating parameters varies between the military and civil applications. Parameters like size, range, endurance, operating altitude, maximum take-off weight (MTOW) has implications both for the deployment and employment of UAVs. This paper explores the impact of the operating parameters on military and civil applications of Mini UAV.

Numerical analysis on 10 MJ solenoidal high temperature superconducting magnetic energy storage system to evaluate magnetic flux and Lorentz force distribution

Abstract: Due to fast response and high energy density characteristics, Superconducting Magnetic Energy Storage (SMES) can work efficiently while stabilizing the power grid. The challenges like voltage fluctuations, load shifting and seasonal load demands can be accomplished through HTS magnet as this device has a great potential to supply power for a time span varies from few seconds to hours. Solenoidal configuration has been widely employed (over toroidal) in the development of SMES prototypes as it is simpler to manufacture and allows an easier handling of the mechanical stresses imposed on the structure due to Lorentz forces. A micro-SMES of capacity 10 MJ can be employed to mitigate the challenges like load leveling, dynamic stability, transient stability, voltage stability, frequency regulation, transmission capability enhancement, power quality improvement, automatic generation control, uninterruptible power supplies, etc. In this work, solenoidal configuration has been engaged in the development of 10 MJ SMES Magnet using 2 G (SuperPower, YBCO having Tc = 90 K @0T) High Temperature Superconducting (HTS) tape. The superconducting tape has been cooled at 14 K using conduction cooling. The effect of maximum operating current (3250A, 2600A, 1950A and 1300A) on the inductance, maximum storable energy and length of superconductor has also been evaluated for a constant deliverable energy of 10 MJ. A numerical analysis is done on 10 MJ HTS SMES where perpendicular field of 3T has been considered. The effect of aspect ratio (solenoidal height to bore diameter ratio) on the normal component of the magnetic field has also been assessed. Lorentz forces (N/m3) have been evaluated in the superconducting domain. It has been concluded that it would be beneficial to operate at higher currents (i.e. more current through single tape) as it can reduce the total length of the superconductor. The perpendicular component of magnetic flux for the analysis is found to 2.96T which is less than 3T.

Electromagnetic Analysis on 2.5MJ High Temperature Superconducting Magnetic Energy Storage (SMES) Coil to be used in Uninterruptible Power Applications

Abstract: In recent years, due to the digitization of the electrical devices electric load demand has been increased. Power security and stabilization are the other two challenges which necessitate the need of electrical energy storage. Along with the technological constraints, economical and environmental issues are the other challenges in the development of energy storage technologies. Fast response and high energy density features are the two key points due to which Superconducting Magnetic Energy Storage (SMES) Devices can work efficiently while stabilizing the power grid. Two types of geometrical combinations have been utilized in the expansion of SMES devices till today; solenoidal and toroidal. It has been found that the solenoidal arrangement is easier to fabricate and provides efficient approach to handle stresses produced by Lorentz forces. This work represents the development of 2.5MJ SMES solenoidal Magnet using 2G (SuperPower, YBCO having Tc=90K @ 0T) HTS tape. The effect of the operating current (passing through a single superconducting tape) has been evaluated. A reference magnetic flux of 3.5T has been considered in designing of HTS SMES. It has been found that the parallel fields for solenoidal magnet are large as compared to perpendicular fields which results into large magnitudes of Lorentz forces acting on HTS tape which may leading to structural instabilities and can cause failure. It has been concluded that higher currents can be used in order to lower down the total length of the superconductor as it can reduce the overall cost of the device

Design and analysis of five probe flow analyser for subsonic and supersonic wind tunnel calibration

Abstract: The flow angularity in a wind tunnel plays a major role in test section when testing models. The models are being tested at a mixture of flow velocity. Usually a subsonic wind tunnel is calibrated using a normal Pitot tube and supersonic wind tunnels with high efficiency probes. The calibration of a wind tunnel includes determining the Mach number range ad pressure range throughout the test section of the flow throughout the pattern of operating velocity. In the analysis it is noted that the sensitivities of the calibrating instruments are maximum when it is either cone or wedge shaped. When the wedge or cone angles are maximum, more accurate results are also obtained, but it's not possible to have a maximum angle cone or wedge because of the detached wave and tunnel blockage factors. Hence in order to overcome this difficulties in measurement, a five probe flow analyzer has been designed. The five probe flow analyzer is used to determine the wind tunnel test section parameters like flow angularity, Pitot pressures, static pressures, wave angles, and the presence of test section noise. Over to these parameter, the stagnation states can also be determined using this analyzer. The proposed model is designed by getting optimum solutions from previous analysis and the existing data by considering all the aerodynamic and mechanical loading. This instrument designed is to be tested experimentally after carrying two and three dimensional computational analysis for Mach number ranging from 0.5 of 3. Also it is designed to fit successfully for 0.3m and 0.6m test section wind tunnel to obtain reasonably merging solution with theoretical and experimental results.

Aging state prediction for supercapacitors based on heuristic kalman filter optimization extreme learning machine

Abstract: With the advancement of wind energy, solar energy, and other new energy industries, the demand for energy storage systems are worth increasing. Supercapacitors gradually stand out among many energy storage components due to their advantages of high power density, fast charging and discharging speed, and long life. Predicting the capacity of supercapacitors from historical data is a highly non-linear problem, subject to various external and environmental factors. In this work, we propose an optimized forecasting model-an extreme learning machine (ELM) model coupled with the heuristic Kalman filter (HKF) algorithm to forecast the capacity of supercapacitors. ELM is preferred over traditional neural networks mainly due to its fast computational speed, which allows efficient capacity forecasting in real-time. Our HKF-ELM model performed significantly better than other data-driven models models that are commonly used in forecasting life of supercapacitors. The performance of the proposed HKF-ELM model was also compared with traditional ELM, Kalman filtering model, ELM optimized by the particle swarm optimization (PSO-ELM) and Kalman filter extreme learning machine models (KA-ELM). Different performance metrics, i.e., Root Mean Squared Error (RMSE), Mean Square Error (MSE) and R2 determination coefficient were used for the comparison of the selected models. The aging life of supercapacitors in different environments were also performed using the proposed approach. The results revealed that the proposed approach is superior to traditional data-driven models in terms of prediction aging life of supercapacitors and it can be applied in real-time to predict state of health (SOH) based on the previous charge and discharge data of supercapacitors. In particular, considering RMSE of forecasting, the proposed HKF-ELM model performed 77.62% better than the traditional ELM model, 77.46% better than the PSO-ELM model, 87.40% better than the traditional Kalman filter model, 82.51% better than the KA-ELM model in forecasting aging life of supercapacitors. The novelty of the proposed approach lies in the way the fast computational speed of ELMs has been combined with the accuracy gained by tuning hyperparameters using HKF. Fewer setting parameters, lower time cost and higher prediction accuracy have been need in our methodology compared to available models. Our work presents an original way of performing aging life of supercapacitors forecasting in real-time in industry with highly accurate results which are much better than pre-existing life forecasting models.

Application of energy storage in integrated energy systems — A solution to fluctuation and uncertainty of renewable energy

Abstract: Given the urgency of climate change mitigation, it is crucial to increase the practical utilization of renewable energy. However, high uncertainty and large fluctuation of variable renewable energy create enormous challenges to increasing the penetration of renewable energy. Various energy storage technologies have been applied to renewable energy to handle the fluctuation and uncertainty problem. To enrich the knowledge about the effects of energy storage technologies, this paper performs a comprehensive overview of the applications of various energy storage technologies and evaluates their capabilities of mitigating the fluctuation and uncertainty of renewable energy. The main techno-economic characteristics of the energy storage technologies, including: super-conducting magnetic energy storage, flywheel energy storage, redox flow batteries, compressed air energy storage, pump hydro storage and lithium-ion batteries, are analyzed. Moreover, supercapacitor storage, sodium‑sulfur batteries, lead-acid batteries and nickel‑cadmium batteries are also discussed in this study.

What is a wind tunnel

Abstract: A video showing how wind tunnels work so well, aircraft are not built or flown unless they are first tested in a wind tunnel.

Development of Bi-2223 HTS Tape and Its Application to Coil and Current Leads

Abstract: Abstract We are developing Bi-2223/Ag tapes with a high engineering critical current density by optimizing the powder-in-tube process and are studying its application to coil and current leads. We have fabricated 250 m-long tape and investigated optimized processing conditions to enhance engineering critical current density. More bubbling was found when the tape was heat-treated with a higher heating rate. Different kinds of superconducting joints were fabricated with multi-filamentary Bi-2223/Ag tapes, and 58% of retained I c was achieved using the insertion of Bi-2223 core between two exposed tapes. Current decay property of the persistent mode HTS coil was investigated. Rapid current decay was observed when the operating current is in a flux-flow range. We could successfully fabricate a low heat leak type HTS current lead with Bi-2223/Ag–Au tapes by employing a stepped geometry. Using this lead, safe operation of 2 kA current transport was confirmed.

Superconducting magnetic energy storage systems: Prospects and challenges for renewable energy applications

Abstract: This paper provides a clear and concise review on the use of superconducting magnetic energy storage (SMES) systems for renewable energy applications with the attendant challenges and future research direction. A brief history of SMES and the operating principle has been presented. Also, the main components of SMES are discussed. A bibliographical software was used to analyse important keywords relating to SMES obtained from top 1240 most relevant research on superconducting magnetic energy storage system that have been published in reputable journals in recent times. Comparison of SMES with other competitive energy storage technologies is presented in order to reveal the present status of SMES in relation to other viable energy storage systems. In addition, various research on the application of SMES for renewable energy applications are reviewed including control strategies and power electronic interfaces for SMES. Important technology road map and set targets for SMES development from year 2020 to 2050 are summarized. This paper also discusses important challenges facing the development and application of SMES and points out vital future research direction on the development and improvement of SMES systems for renewable energy applications. This work will be of significant interest and will provide important insights for researchers in the field of renewable energy and energy storage, utilities and government agencies. • Review of SMES for renewable energy applications has been carried out. • Bibliographical analysis of important keywords on SMES has been provided. • Published articles in the last 10 years on SMES categorized and presented. • Road map and set targets for SMES technology from 2020 to 2050 are summarized. • Challenges of SMES application and future research direction have been discussed.