Day 1 :
Keynote Forum
Jay Lee
University of Cincinnati, USA
Keynote: Recent advances of predictive big data analytics and cyber physical systems for smart wind turbine systems
Time : 10:00-10:30
Biography:
Jay Lee is Ohio Eminent Scholar, L.W. Scott Alter Chair Professor and Distinguished University Professor at the University of Cincinnati. He is the Founding Director of National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems (IMS www.imscenter.net), which is a multi-campus NSF Industry/University Cooperative Research Center, which consists of the Univ. of Cincinnati (lead institution), the University of Michigan, Missouri University of S&T, and University of Texas-Austin. The Center has developed partnerships with over 85 companies from 15 countries since its inception in 2001. In addition, he has mentored his students and developed a spin-off company predictronics with support from NSF Innovation ICorps Award in 2012. He also serves as an invited committee member for White House Cyber Physical Systems (CPS) Advisory Group in 2013.
Abstract:
In today’s competitive wind energy business environment, companies are facing challenges in dealing with big data issues for rapid decision making for improved performance and asset management. Many wind turbine systems arenot ready to manage big data due to the lack of smart analytics tools. U.S. has been driving the Cyber Physical Systems (CPS) and Industrial Internet to advance future industry. It is clear that as more predictive analytics software and embedded IoT are integrated in today’s industrial products and systems, predictive technologies can further intertwine intelligent algorithms to predict windturbine performance degradation and autonomously manage and optimize service needs. The presentation will address the trends of predictive big data analytics as well as the readiness of smart predictive tools to manage wind turbine big data to achieve resilient life cycle management with improved service value.rn
Keynote Forum
Asfaw Beyene
San Diego State University, USA
Keynote: Advances in morphing wind turbine blade for wind energy conversion
Time : 10:50-11:20
Biography:
Prof. Beyene graduated with Ph.D. from Warsaw University of Tech., Warsaw. He is a Fellow member of ASME and currently serves as Director of the Renewable Energy and Energy Efficiency at SDSU. Dr. Beyene’s research integrates analytical, computational, and experimental techniques to address fundamental and practical problems of energy conversion. He has developed novel methods for wind and wave energy conversion. Over the years, Dr. Beyene has attracted several millions of dollars in funding from NSF, DOE, US Navy, CEC, and others. Professor Beyene is the recipient of many research and teaching awards. He has authored significant number of refereed journal articles, conference proceedings, and technical reports.
Abstract:
One serious challenge of energy systems design, wind turbines in particular, is the need to match the system operation to the variable load. Invariably, system efficiency drops at off-design load, i.e., both at over- and under-load regimes. One strategy to address this challenge for wind turbine blades, and obtain a more consistent efficiency over a full or wide load range, is by controlling the pitch. This is a cumbersome intervention because it is costly - adding complexity and energy investment to the system operation. A better alternative would be varying the blade geometry passively with a predictable morphing of wind turbine blade in reaction to wind load conditions. This concept, introduced recently, is derived from fish locomotion, as from spoilers and ailerons. In this work, we employ a fully coupled technique on CFD and FEM models to introduce continuous morphing to desired and predetermined NACA 4412 profile. Then we assess the aerodynamic behaviour of a morphing wind turbine airfoil using a two-dimensional computation. The computational results suggest that the morphing blade has superior part-load efficiency over the rigid NACA blade.
Keynote Forum
Jae-Sung Bae
Korea Aerospace University,Korea
Keynote: Feasibility Study on a Fabric-Covered Wind Turbine Blade
Time : 11:20-11:50
Biography:
Jae-Sung Bae received his B.S. degree in Aeronautical and Mechanical Engineering from KorearnAerospace University in 1996 and his M.S. degree in Aerospace Engineering from KAIST in 1998.rnHe then received his Ph.D. in Aerospace Engineering from KAIST in 2002. He is currently anrnAssociate Professor at the School of Aerospace and Mechanical Engineering at Korea AerospacernUniversity in Goyang-City, Korea. He has published more than 30 papers in the internationalrnjournals. His main research interests include aero elasticity, vibration and control, wind energy, andrnUAVs.rn
Abstract:
For a couple of decades wind turbine blades become bigger than bigger to increase the performance and efficiency but the convetional design and manufacturing process of wind turbine blades have still used. As the 6 MW WT blades are developed their mass and manufacturing costs are increased significantly. The conventional design and manufacturing process might not be used for the over 10 MW WT blade in the near future. Therefore new paradaim of the WT blade desing and manufacturing should be developed.rnThe present study introduce a fabric-covered WT blade technology which is composed ofrnComposite or metal spar-rib and covering skin of fabrics as shown in Fig. 1. The proposed structurernof WT blade is similar to the truss-sin structure of the aircraft wing in World War I. In the proposedrnblade structure all of the loads should be subjected to the spars. Ribs and skins keep the shape of the blade cross-section and transfer the loads to the spars.rnIn the present study the feasibility study is performed to develop the new technology of arnfabric-coverd WT blade. A couple of blade cross-sections are designed and their structuralrnProperties are calculated by using VABS. These structural properties are compared to those of thernreference 5MW WT blade. The numerical results show that the proposed blade design could reducernthe blade mass over 30% although the present design step is preliminary.rn
- Track-1: Wind Power Technology
Track-4: Wind Safety Measures
Track-5: Hydro power Technology
Session Introduction
Jay Lee
University of Cincinnati, USA
Title: Trends and Recent Advances of Industrial Big Data and Predictive Analytics for Wind Turbine Health Management
Biography:
Jay Lee is Ohio Eminent Scholar, L.W. Scott Alter Chair Professor and Distinguished University Professor at the University of Cincinnati. He is the Founding Director of National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems (IMS www.imscenter.net), which is a multi-campus NSF Industry/University Cooperative Research Center, which consists of the Univ. of Cincinnati (lead institution), the University of Michigan, Missouri University of S&T, and University of Texas-Austin. The Center has developed partnerships with over 85 companies from 15 countries since its inception in 2001. In addition, he has mentored his students and developed a spin-off company predictronics with support from NSF Innovation ICorps Award in 2012. He also serves as an invited committee member for White House Cyber Physical Systems (CPS) Advisory Group in 2013
Abstract:
In today’s competitive wind energy business environment, companies are facing challenges in dealing with big data issues for rapid decision making for improved performance and asset management. Many wind turbine systems arenot ready to manage big data due to the lack of smart analytics tools. U.S. has been driving the Cyber Physical Systems (CPS) and Industrial Internet to advance future industry. It is clear that as more predictive analytics software and embedded IoT are integrated in today’s industrial products and systems, predictive technologies can further intertwine intelligent algorithms to predict windturbine performance degradation and autonomously manage and optimize service needs. The presentation will address the trends of predictive big data analytics as well as the readiness of smart predictive tools to manage wind turbine big data to achieve resilient life cycle management with improved service value.
Yashwant Sinha
Robert Gordon University,UK
Title: A software package for maintenance management of wind turbines
Biography:
Yashwant Sinha has successfully defended his PhD at Robert Gordon University, UK. His topic of research was Optimisation of Offshore Wind Turbines Maintenance. Previously he did his MPhil from University of Cambridge and BE from Sikkim Manipal Institute of Technology, India. Currently he is engaged as a lecturer in the department of engineering at Robert Gordon University, Aberdeen. He has over 8 years experience of working in the services and maintenance industry. He has published papers on supporting wind turbine maintenance by using software tools. He is currently working on developing a ERP package for the wind industry.
Abstract:
The installed capacity of Offshore Wind Turbines (OWT) in Europe is likely to be 150GW by 2030. Maintenance of these OWT will incur £14billion/yr in 2030 if currently used maintenance stretegies remain unchanged. There is a need to shift from random to a novel maintenance scheme that is optimised for all types of wind farms. This will also require support of software tools and systems to collect, analyse and interpret data associated with thousands of components in OWT. In this work design of a software tool that can automate planning and management of OWT maintenance and control costs is presented. The tool is designed using a modified framework of Failure Mode Effects and Criticality Analysis (FMECA). This framework enables storage of component level failures for over 10,000 components and analysis of their potential root causes. The framework also enables estimation of the consequences of a failure based on 7 different parameters so that maintenance can be prioritised. In its present form the tool is able to correlate failures to their root causes and hence predict failure under different conditions. The database of the tool includes over 800 relationships between failures and their root causes for gearboxes and generators. This can be scaled for other components in an operational OWT and plan for predicted failures. The tool also contains other modules including recommending step by step maintenance strategy related to specific failures. A database of these maintenance strategies will reduce human errors during maintenance. Another modules of the tool are being developed to create an enterprise resource planning software package for wind turbines which will automate wind farm data management and cost effectively plan their maintenance. This will be enhancing the use of SCADA system data to detect failures and consequently plan maintenance.
Moudar Zgoul
American University of Madaba, Jordan
Title: Computational Aerodynamics Optimization of Wind Turbine's Blade Twist Angle
Biography:
Moudar Zgoul is an associate Professor of Mechanical Enginering at the American University of Madaba-Jordan. He has completed his PhD from the Unversity of Surrey – UK in Ammplied Mechanics. He has published more than 25 papers in reputed journals. He is the chairman of the Mechanical Engineering Department at the American University of Madaba.
Abstract:
Wind turbine blades are a major component in the wind turbine system as it captures the wind’s energy. The design of the blade is thus essential to ensure optimum energy harvesting. In this study, simulations using the finite element method were carried out to investigate the effect of the blade’s dimensions and configurations to obtain the optimum twist angle and shear webs separation distance as a function of blade’s chord length. During the aerodynamic analysis conducted on wind turbine system modeled with optimum real dimensions in terms of cost of energy generated (COE) suggested from previous literature, it was found that there is a linear relationship between the twist angles and shear webs separation distance. As the twist angle of the blade increases, the separation distance between the shear webs must be increased inside the blade to decreases the effect of the aerodynamic pressure affecting the top surface of the blade to avoid potential damage of the its structure. It was found that the optimum twist angle for the blade design is 22.5o with separation distance of 0.35% chord length.
Bijon Kumar Sil
The Awesome Place, Singapore
Title: Workshop on Domestication of wind engery through integration of house-hold fan
Biography:
Dr. BIJON has completed his PhD at the age of 30 years from University of Surrey, UK and postdoctoral studies from Kittasato University, Japan in Immunology. He is the director of The Awesome Place an emerging Technology based R&D organization. He has published more than 30 papers in reputed journals and attened over 20 international conferences world-wide.
Abstract:
This study relates to the generation of electricity by mini wind generator through integration and utilization of air released from house-hold fan and its recycling The use of wind to generate electricity by wind turbine system is already established and is environmentally friendly. However a constant and uninterrupted flow of wind is one of the major challenges of this technology as it is difficult to manage natural air flow. The current invention (Singapore Patent: 10201600351U) is focused on a new technology by integrating house-hold fan with mini wind generator so that the system efficiently managed the flow of uninterrupted air, rotate blades and generate constant amount of electricity which later is stored in a power bank. This electricity is a renewable and/or recyclable either to run the mother fan or charge other electrical devices like mobiles, tablets and laptops and is called Recycle Electricity (RECEL). The prototype Model was developed using 12V-36V mini generator and 25Ws powered floor-type fan which generated around 45Ws electricity and revealed it promising commercialization. Integration of Model with 1 billion house-hold fans (currently used world-wide) could generate approximately 200TWh/year (45wx15hX300days) which is more than sufficient to charge 7.1 billion smart-phones (115TWh=15wx3hx365daysx7). This new capability will add important flexibility of generation and utilization of wind power electricity in a control fashion and bring the technology at the door step of end users. The technology enabling the double uses of house-hold fan: cooling the enviroment and generating electricity which could provide energy to the fastest growing mobile information technology and at large for the society.
Stefan Franzen
RWTH Aachen University,Germany
Title: Capabilities of wind turbine ground test facilities
Biography:
Dipl.-Ing. Stefan Franzen studied Mechanical Engineering with a major in “Development and Design “at RWTH Aachen University and graduated in 2013. Since July 2013 he works as a scientific assistant in the “Testing” team at the Chair for Wind Power Drives. Since December 2013 he coordinates the IEA Wind Task 35 "Full Size Ground Testing for Wind Turbines and their Components" as the Operating Agent. He is also head of the subtask "Nacelle Testing". Task 35 of the International Energy Agency Wind Technology Collaboration Programme aims to develop guidelines and recommendations for full size system tests of blades and wind turbine drivetrains.
Abstract:
IEA Wind Task 35 intends to address the demand for reliable and cost-effective ground testing of wind turbines. The experts from research testing facilities, OEMs, test rig manufacturer and certification bodies work together in Task 35 to develop recommendations for standardized test methods. Several public and private blade test facilities around the world are about to harmonize blade test methods, uncertainty estimation, non-destructive inspections and subcomponent testing for the advancement of the present certification processes and to improve extant basic test procedures. The recent established nacelle test laboratories (US, DK, GB, DE, CN, ES) collaborate to develop new kinds of tests for design and model validation as well as to facilitate and improve the type certification using ground tests. An overview of blade and nacelle test center is useful for the customer to compare common and unique testing capabilities. Significant blade test criteria include maximum blade length, excitation for fatigue tests and horizontal or vertical bending techniques. Nacelle test criteria include type, maximum torque and speed of prime mover, degrees of freedom, maximum forces and bending moments of the wind load application system as well as the grid load emulation capabilities such as fault ride through scenarios and the real time emulation of grid and the wind field. In near future both blade and nacelle test facilities shall be capable of performing the same standardized test with equivalent results at the same confidence level. The presentation gives an overview of the various nacelle and blade test capabilities, test approaches and benefits.
Manfred Mauntz
cmc Instruments GmbH, Germany
Title: Condition Based Maintenance of Offshore Wind Turbines - Identification of critical operation conditions & determination of the next oil exchange by 24/7 Monitoring of Oil Quality, Oil Aging and Additive Consumption
Biography:
Dr.Manfred Mauntz received his diploma in Engineering from the University of Kaiserslautern in 1982 and earned a doctorate with honors in Engineering from the University of Siegen. He has worked extensively in the analytical and process instrumentation industry. He is the founder, CEO and Head of Development and Research of cmc Instruments GmbH which develops and manufactures analytical and measurement systems.
Abstract:
A new oil condition monitoring system is presented for the continuous, online measurement of the wear in industrial gears, turbines, generators, transformers and hydraulic systems – escpecially suited to offshore wind turbines. The detection of change is much earlier than existing technologies such as particle counting, vibration measurement or recording temperature. Thus, targeted, corrective procedures and/or maintenance can be carried out before actual damage occurs. Efficient machine utilization, accurately timed preventive maintenance, a reduction of downtime and an increased service life and can all be achieved. The oil sensor system measures the components of the complex impedances X of the oils, in particular the electrical conductivity, the relative dielectric constant and the oil temperature. All values are determined independently from each other. Inorganic compounds occur at contact surfaces from the wear of parts, broken oil molecules, acids or oil soaps. These all lead to an increase in the electrical conductivity, which correlates directly with the wear. In oils containing additives, changes in dielectric constant infer the chemical breakdown of additives. A reduction in the lubricating ability of the oils, the determination of impurities, the continuous evaluation of the wear of bearings and gears and the oil aging all together follow the holistic approach of real-time monitoring of changes in the oil-machine system. By long-term monitoring and continuous analysis of the oil quality, it is possible to identify the optimal time interval of the next oil exchange – condition based. This results in enormous cost reduction, when the oil is still stable and fully functional.
Mohammad Sadegh Eslamipour
Mapna Generator, Iran
Title: Optimization Wind Power Production in Cold Climate and Icing in Canada
Biography:
Mr. Eslamipour has MS. Degree in Science of Industrial Engineering from USA in 1988. He joined Mapna Generator Co. in 1998. He was Project Manager of manufacturing of 4 units of 250MW Hydro generators for Upper Gotvand Hydro Power Plant in south of Iran. He worked in university as assistant research before he joint MAPNA. Mr. Esalmipour has written and presented over 30 papers for numerous conferences throughout his carrier. He was member of 2012 Hydro-vision Russia Advisory Board His project (Upper Gotvand Hydro Power Plant) was winner of Asian Power Award 2012, Bangkok, Thailand.He was paper reviewer for following conferences: Industrial Engineering and Operations Management Conference 2014 Industrial Engineering and Operations Management Conference 2015 The 21st International Conference on Information Systems Analysis an Synthesis 2015 2016 Industrial Engineering and Operations Management Conference. The 7th International Multi-Conference on Complexity, Informatics and Cybernetics IMCIC 2016
Abstract:
Wind energy play a major role in the solution to global climate .Because, can make a major contribution in the effort to protect environment, while protecting against fuel cost. Therefore, it is relatively safe to inflation. This paper is addressing the request of wind energy update organization (central information and networking platform for the Global wind industry) for research about technologies that can help to reduce the impact of cold climates which caused to loss 15% of wind energy production as a direct result of such conditions in Canada each year. This paper represents how to maximize operation time for turbines during periods of extreme cold and snow. Also discuss how to use highly valued equipment in wind turbine in-order to explore the latest advances on how to mitigate production losses resulting from icing as well as concerns raised over risk, structural failures, and cost models related to wind energy.