Day 1 :
- Track 7: Renewable & Sustainable Energy
Track 6: Hydro Power Technology
Queen Mary University of London, UK
Kamyar Mehran is a Lecturer in Power Engineering in Queen Mary University of London, UK. He worked in University of Warwick as a research fellow (2013-2015), Newcastle University and Imperial College London (2010-2013) as a research associate and commercialization Manager for a spin-off company, OptoNeuro Ltd. He received his PhD degree in Newcastle University, UK in 2009. Prior to his academic career, he collected over 8 years of industrial experience in companies like Sun Microsystems (Oracle), and National Iranian Oil Company. His current research interests include nonlinear dynamics, intelligent control/optimization of energy storage systems, high-switching power electronic converters, and home energy management systems.
Predicting and enhancing the life-cycle of Lithium-ion battery packs has been the subject of studies toward the large-scale use of storage systems to store the electrical energy in the time of fluctutation and unpredictable behaviour of wind renewable . Battery pack is a group of cells are placed in a parallel, series or matrix form to provide the required power. Life cycle prediction of a single cell is challenging due to the complexity of electrochemical reactions, thermal vraiablity and the formation of SEI layers. Cell interconnections make the prediction more challenging as the electrical dynamics and thermal characteristics of each cell is different from the others. This introduces random variability where the aging of a single cell propagates and reduce the life of the whole pack. This works investigates the use of accurate electro-chemical modelling and wireless sensor/antenna system in real-time estimation of the critical cell parameters, i.e. state-of-the-charge (SOH), state-of-health (SoH), internal resistance, and temprature variation. The integrated system will significantly supress the aging propagation and enhance the life-time of
Jaipur National University, India
P.N. Dard works at Jaipur National University and studied at Indian Institute of Technology, which is located at New Delhi Area, India.
Sources of energy which are used on large scale are termed as conventional sources of energy where as the energy sources which are used on small scale are called as non- conventional sources of energy. Green energy produced from non conventional sources include Small hydro power, wind power, solar energy, geothermal and energy produced from bio fuel.
Increase in land and air pollution during the conversion of energy sources of fossil fuel such as oil, coal and natural gas have their adverse effects on environment and ecology. Depleting quality of these sources raise the question of sustainability in the long run there by compelled humanity to go in search of the other alternatives. In this context, the non conventional sources of energy have attracted the global attentions and evoked interest among policy makers as a viable option for sustainable development.
Out of 120 crore population of India, 46 % of them leave in rural and far flange areas and survive on Kerosene ,wood for fire and cooking or nonconventional sources of energy as their primary sources .
It is hurting to know that India loses nearly dollars 18 Billion (20) annually in power sector which is sufficient to provide 490 Million free of electricity for a year through micro greed.
As the world moves to cleaner energy sources and water becomes increasingly valuable commodity in many regions, it will influence the choice of energy options.
Electricity production accounts for more than 50 % Global Warming emission with the majority generated by coal fired power plants in the world. Natural gas power plants produce more than 10 % total emission in the world. In contrast to this most renewable energy and nonconventional sources produce very little global warming effects.
In these article efforts has been made to project the overall scenario of non conventional sources of energy and their utility in remote areas where conventional energy cannot reach. The energy produced by small hydro, solar and wind etc can find its place to cater to the needs of people living in rural areas .The
Article also refers the research and innovative measures required to be under taken to supply power to the masses in rural areas and it also high lights the challenges faced to supply energy to far flanged areas.
Mohamed First University, Morocco
Badre BOSSOUFI has completed his PhD at the age of 26 years from Sidi Mohammed Ben Abdellah University Faculty of Sciences, Morocco and PhD. Diploma of the University of Pitesti, Faculty of Electronics and Informatics, Romania and Montefiore Institute of Electrical Engineering, Liege, Belgium, in 2012. He was professor of electrical engineering at the Higher School of Technology, Oujda, Morocco. His research interests include Wind Systems, Power Systems, Electrical Machine Control, FPGA and smart grid. He has published over 25 articles in reputed journals and has been reviewer in IEEE and Elsevier journal.
The main difficulty associated with decentralized energy sources is that they do not generally participate in systems services (voltage control, frequency, ability to operate in islanding, etc.). This is especially true for renewable energy sources whose production is very unpredictable and fluctuating. The integration of distributed generation units in networks causes a certain problem: random and unpredictable production (wind, solar); no load frequency control; no tension adjustment; and sensitivity to voltage dips;
The use of control (DTC, backstepping, sliding mode ...) in the wind system, increases the quality of power and performance in order to reducing power losses, optimization of the dimensions and locations of distributed generators, monitoring the voltage profile, a high level of penetration, reconfiguration of the network, improved reliability and low cost.
Ajman University, UAE
Amir J. Majid is a Ph.D and professor in College of Engineering, Ajman University of Science & technology, UAE
A proposed project on renewable energy sustainability with micro hydro systems is analyzed on different aspects, such as environment, solar and wind regimes, mountainous reservoirs and dams, seawater desalination, as well as economic feasibility. This case study is open for dialogues such as design, investment and project planning. Fujairah city is surrounded by many small mountainous dams used as fresh water storage reservoirs, which are rarely utilized throughout the year. With this study, it would be advantageous to achieve renewable energy sustainability as well as clean power generation.
The Hong Kong Polytechnic University, Hong Kong
Liang An received BEng degree in Thermal and Power Engineering from Harbin Institute of Technology in 2008, and PhD degree in Mechanical Engineering from The Hong Kong University of Science and Technology in 2012. He is currently an Assistant Professor in Department of Mechanical Engineering at The Hong Kong Polytechnic University. He has authored and co-authored more than 60 journal papers. His research interests include renewable energy conversion and storage technologies, such as fuel cells and flow batteries.
Direct ethanol fuel cells (DEFC), which promise to be a clean and efficient energy production technology, have recently attracted worldwide attention, primarily because ethanol is a carbon-neutral, sustainable fuel and possesses many unique physicochemical properties including high energy density and ease of transportation, storage as well as handling. However, conventional DEFCs that use acid proton exchange membranes (PEM) and precious metal catalysts result in rather low performance. In our research, we used alkaline anion exchange membranes (AEM) as the ion conductor in DEFCs. The change from the acid membrane to an alkaline one led to a significant performance boost: the power density increases from 30 mW cm-2 to 90 mW cm -2 . In addition, we developed a novel hybrid DEFC system, which consists of an alkaline anode and an acid cathode. Our unique design results in a power density of 240 mW cm-2 . To further optimize and improve performance, we developed an integrated model for the fuel cell system. By doing so, the power density of DEFCs now is as high as 360 mW cm-2 . This high performance is attributed not only to the unique design, but also to the use of the integrated model.
Port Said University, Egypt
J. O. Petinrin received his M.Eng. degree in Electrical Engineering from the Federal University of Technology, Akure, Ondo State, Nigeria in 2007. He received his Ph.D. degree in Electrical Engineering from Center of Electrical Energy Systems, Faculty of Electrical Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia in 2015. His research interests include distributed generation, renewable energy integration, smart grids and voltage control of distribution systems. He is currently a Principal Lecturer at Federal Polytechnic, Ede, Osun State, Nigeria. Engr. Dr. J.O. Petinrin is a Registered Engineer with Council of Regulation of Engineering in Nigeria (COREN), Member, Nigeria Society of Engineers (NSE) and Member, IEEE.
Photovotiaics (PVs) integration to the distribution feeder is on the increase. The variability and uncertainty of the renewable energy (RE), however, can potentially cause a voltage deviation from the permissible limits and disruption of normal operation of voltage/VAr (VVAr) control devices. This paper proposes a platform, in the operation timescale, to maintain voltage regulation and facilitates the smoother integration of renewable energy into the distribution feeder with PV energy sources. With the objective of improving system-wide voltage profile and minimal losses, the operation of VAr control devices and energy storage, is coordinated in the operational timescale. A Genetic Algorithm (GA) based-optimization method is used to consider the optimum settings of the VAr control devices and the dispatch of energy storage. The effectiveness of the proposed method is validated through a time sequence analysis over a 24-hourly simulation period, applied to the IEEE 123 test feeder. Test results depict clearly that the coordinated operation among the control devices, along with the energy storage, causes reduction in system losses and enhances system capability to maintain voltages within the statutory bounds under various penetration levels of PV energy sources.
Keywords— Energy storage, generic algorithms, load tap changer, renewable energy, smart grid, voltage control.
Bu-Ali Sina University, Iran
Vahid Bahrami Foroutan is a faculty member of department of electrical engineering, Bu-Alisina University, Hamedan.
Using Micro-Grid (MG) concept to enhance penetration of Distributed Generation (DG) has raised some technical challenges including stability and power quality issues. Therefore, such issues has been researched and investigated by many experts in recent years.
Power quality considerations are the most challenging tasks in MGs so that designing control strategy without power quality considerations can lead to instability of MG. Thus, stability and power quality are two relevant issues regarding the selection of control strategy in an MG.
For this reason, this paper presents a review of control strategies and also investigates the effect of new approach on power quality and stability of MGs.
A new problem formulation is developed by employing a multi-objective function approach where the objectives include the fuel consumption cost, voltage stability index and the total voltage variation of MG. A hybrid optimization algorithm is proposed to solve the proposed problem by combing the HS and the GA. A new load flow formulation is derived to run the proposed optimization algorithm where the steady state frequency of system, reference frequency, reference voltage and droop coefficients of DGs, based on a droop controller, are considered as optimization variables. To find the best solution of non-dominated results, a fuzzy method is employed.
National Institute of Applied Sciences of Rouen, France
Imen Bel Mabrouk, Abdelkhalak El Hami, Lassâad Walha, Bacem Zghal, Mohamed Haddar, Dynamic vibrations in wind energy systems: Application to vertical axis wind turbine , Mechanical Systems and Signal Processing 85 (2017) 396–414.
Flow over Darrieus type straight-bladed vertical axis wind turbine with NACA0021 is analyzed using ANSYS Fluent software. k-ω shear stress transport turbulence model is used for the two dimensional, unsteady simulations. Wind speed is taken as 9 m/s and the rotation of blades is modeled using the sliding mesh technique.
The two-dimensional computational fluid dynamics model is validated with experimental results. The optimum tip speed ratio is achieved, giving the best overall performance.
The effect of the tip speed ratio on the aerodynamic performance of the studied wind turbine in non stationary regime is discussed. Contours plot of the three-bladed Darrieus rotor are also presented and analyzed.
The present study shows that the tip speed ratio directly affects the aerodynamic efficiency and the torque production of the Darrieus type vertical axis wind turbine .
Industrial Technology Research Institute, Taiwan
I have completed my college at the age of 21 years from National Cheng Kung University Department of Resources Engineering and master at the age of 23 years from National Taiwan University Department of Mechanical Engineering. I am a researcher of Industrial Technology Research Institute, Material and Chemical Research Laboratories, a premier material and structure safety service organization. I has published one master papers and attended one conference as poster and two conferences as orator.
The Aerofoil Water Turbine (AWT) is a machine designed by ZHEN XIN TECHNOLOGY CO.,LTD. The AWT which intent to install on river is able to generate electricity by the motivation of water flow. However, the mechanical strength of the design is not robust enough that the prototype of the structure is not able to withstand the water flow and the machine is prone to break during the test process. Hence, we construct a CFD model in order to simulate the AWT on the river. After some simplification of the geometry, the selection of solution parameters and the setting of boundry condition. We developed several directions for ZHEN XIN TECHNOLOGY CO.,LTD to improve the AWT mechanical strength. The CFD model which we constructed include hydraulic analysis, fluid structure interaction (FSI) and structure analysis.
University of Akron, USA
Jin Wei (Kocsis) is an Assistant Professor in Electrical & Computer Engineering at University of Akron and the director of the Cyber-Physical-Social System Design Lab. She received the Ph.D. degree in Electrical & Computer Engineering at the University of Toronto, Canada, in 2014, her M.S. degree in Electrical Engineering at the University of Hawaii at Manoa, in 2008, and her B.E. degree at the Beijing University of Aeronautics and Astronautics, China, in 2004. She worked as a Postdoctoral Fellow in National Renewable Energy Laboratory (NREL) from April, 2014 to July, 2014. Her research interests include the smart energy systems, cyber-physical systems security and privacy, renewable energy integration, social networks, and cognitive wired/wireless communication networks.
In recent years, the increasing penetration of Renewable Energy Systems (RESs) has made an impact on the operation of the electric power systems. In the grid integration of RESs, data acquisition systems and communications infrastructure are crucial technologies to maintain system economic efficiency and reliability. Since most of these generators are relatively small, dedicated communications investments for every generator are capital cost prohibitive. Combining real-time attack-resilient communications middleware with Internet of Things (IoTs) technologies allows for the use of existing infrastructure. In this talk, I will present our work in developing an intelligent communication middleware that utilizes the Quality of Experience (QoE) metrics to complement the conventional Quality of Service (QoS) evaluation. Furthermore, our middleware employs deep learning techniques to detect and defend against congestion attacks.
Lamar University Department of Mechanical Engineering, USA
Kendrick Aug has completed his PhD at the age of 25 years from Andhra University and postdoctoral studies from Stanford University School of Medicine. He is the director of XXXX, a premier Bio-Soft service organization. He has published more than 25 papers in reputed journals and has been serving as an editorial board member of repute.
Wind energy is one of the fastest growing renewable energy sources in the world. Installed wind energy is 74.5 GW at the end of 2015, almost thirty-fold increase from 2000 where the installed wind energy is only 2.5 GW. However, most of these installed wind energy is produced by large scale wind turbines that requires an averaged wind speed of about 12 to 15 5 m/s. That requirement put a limit on the opportunities for using wind energy in many areas and locations around the world. As a result, research studies on the low speed wind turbines that can operate effectively at wind speed of 5 to 6 m/s have become increasingly common. In addition, non-traditional methods of deploying wind turbines, for example, using then by the roadside to generate electricity, have been studied more recently. In this presentation, current state-of-the-art research on the low speed wind turbines will be presented. Based on these research, future opportunities and challenges facing extensive deployment of low speed wind turbines will be explored and discussed.