Next Generation Wind Energy Harvesting to Power Bridge Health Monitoring Systems PDF Download
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Author: Krystian Amadeusz Zimowski
Publisher:
ISBN:
Category :
Languages : en
Pages : 370
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Book Description
The research reported in this thesis is part of a project to develop a remote wireless sensing network for monitoring the health of highway bridges. Remote health monitoring that does not require direct human observation has many advantages in terms of cost and increased productivity. However, bridges that cannot be easily connected to the power grid require alternative means of acquiring power. This thesis describes the design of a wind energy harvester to power a particular component in the sensor network, the wireless router. The work discussed in this thesis provides a review of relevant literature and development of a detailed analytical modeling of wind turbine behavior. The analytical model provides key information on sizing generators and choosing appropriate wind turbine dimensions to provide the required amount of power. The analytical model also distinguishes the performance of vertical and horizontal axis wind turbines. The model is verified through design and testing of a first generation prototype and benchmarking of a commercially available turbine. Based on these results, the design of the next generation wind harvesting system is described. A new methodology to design non-destructive attachment systems is also discussed.
Author: Krystian Amadeusz Zimowski
Publisher:
ISBN:
Category :
Languages : en
Pages : 370
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Book Description
The research reported in this thesis is part of a project to develop a remote wireless sensing network for monitoring the health of highway bridges. Remote health monitoring that does not require direct human observation has many advantages in terms of cost and increased productivity. However, bridges that cannot be easily connected to the power grid require alternative means of acquiring power. This thesis describes the design of a wind energy harvester to power a particular component in the sensor network, the wireless router. The work discussed in this thesis provides a review of relevant literature and development of a detailed analytical modeling of wind turbine behavior. The analytical model provides key information on sizing generators and choosing appropriate wind turbine dimensions to provide the required amount of power. The analytical model also distinguishes the performance of vertical and horizontal axis wind turbines. The model is verified through design and testing of a first generation prototype and benchmarking of a commercially available turbine. Based on these results, the design of the next generation wind harvesting system is described. A new methodology to design non-destructive attachment systems is also discussed.
Author: Krystian Zimowski
Publisher:
ISBN: 9783659258411
Category :
Languages : en
Pages : 0
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Book Description
Author: Travis Kyle McEvoy
Publisher:
ISBN:
Category :
Languages : en
Pages : 406
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Book Description
The work discussed in this thesis provides a review of pertinent literature, a design methodology, analytical model, concept generation and development, and conclusions about energy harvesting to provide long-term power for bridge health monitoring. The methodology gives structure for acquiring information and parameters to create effective energy harvesters. The methodology is used to create a wind energy harvester to provide long-term power to a wireless communication network. An analytical model is developed so the system can be scaled for different aspects of the network. A proof of concept is constructed to test the methodology's effectiveness, and validate the feasibility and analytical model.
Author: Alper Erturk
Publisher: John Wiley & Sons
ISBN: 1119991358
Category : Technology & Engineering
Languages : en
Pages : 377
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Book Description
The transformation of vibrations into electric energy through the use of piezoelectric devices is an exciting and rapidly developing area of research with a widening range of applications constantly materialising. With Piezoelectric Energy Harvesting, world-leading researchers provide a timely and comprehensive coverage of the electromechanical modelling and applications of piezoelectric energy harvesters. They present principal modelling approaches, synthesizing fundamental material related to mechanical, aerospace, civil, electrical and materials engineering disciplines for vibration-based energy harvesting using piezoelectric transduction. Piezoelectric Energy Harvesting provides the first comprehensive treatment of distributed-parameter electromechanical modelling for piezoelectric energy harvesting with extensive case studies including experimental validations, and is the first book to address modelling of various forms of excitation in piezoelectric energy harvesting, ranging from airflow excitation to moving loads, thus ensuring its relevance to engineers in fields as disparate as aerospace engineering and civil engineering. Coverage includes: Analytical and approximate analytical distributed-parameter electromechanical models with illustrative theoretical case studies as well as extensive experimental validations Several problems of piezoelectric energy harvesting ranging from simple harmonic excitation to random vibrations Details of introducing and modelling piezoelectric coupling for various problems Modelling and exploiting nonlinear dynamics for performance enhancement, supported with experimental verifications Applications ranging from moving load excitation of slender bridges to airflow excitation of aeroelastic sections A review of standard nonlinear energy harvesting circuits with modelling aspects.
Author: Fabio Casciati
Publisher: DEStech Publications, Inc
ISBN: 1605950246
Category : Technology & Engineering
Languages : en
Pages : 1425
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Book Description
Author: Suratsavadee Koonlaboon Korkua
Publisher:
ISBN:
Category : Predictive control
Languages : en
Pages :
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Book Description
Wind power has become the world's fastest growing renewable energy resource. The world-wide wind power installed capacity has exceeded 120 GW. The United States has set a target of 20% wind-based electricity generation, over 300 GW, by 2030. As wind power is growing towards becoming a major utility source, it is urgent to guarantee the reliable operation of wind power systems. To avoid unexpected equipment failures, the focus in most wind farm is shifting from scheduled preventive maintenance to predictive maintenance. Predictive maintenance by condition-based monitoring of electrical machines is a scientific approach that is becoming a new strategy for maintenance management. Vibration analysis is also a measurement tool used to identify, predict, and prevent failures in rotating machinery. Implementing vibration analysis will improve the reliability of the machine and lead to better machine efficiency, reducing downtime by eliminating unexpected mechanical or electrical failures. Traditionally, monitoring systems are implemented as in wired systems formed by communication cables and various types of sensors. The cost of installation and maintenance such a system is more expensive than the cost of the sensors themselves. To overcome the restrictions of wired networks, using wireless system for monitoring is proposed. A wireless sensor network is a new control network that integrates the sensors, and embedded computer, wireless communication, and intelligent processing technology. ZigBee is a new wireless networking technology with low power, low cost, and short time-delay characteristics. Compared with other similar standards such as Bluetooth, it tends to provide each single device lower complexity and cost. Based on ZigBee network communication technology, the system can deal with the various operating parameters of remote transmission, real-time data collection, and real-time health monitoring systems. Moreover, ZigBee wireless technology enables the identification of the location of each node under the network with several types of positioning algorithms. This study presents and develops a ZigBee based wireless sensor network for machine health monitoring of induction machines. The three-axis vibration signals obtained from the monitoring system are then processed and analyzed with signal processing techniques. The vibration detection techniques with suitably modified algorithms are used to extract information for an induction machine health diagnostic. The severity level of abnormality and the remaining usable life are also explored. The goal for this research is not only to monitor the machine health of wind turbine system, but also to develop a control method for doubly-fed induction generators (DFIG) that addresses the issues associated to the rotor imbalance condition of the generator. Rotor imbalance is a mechanical disturbance related problem. It is a condition where there is more weight distributed on one side of a rotating part of the rotor than on the other side. It might be caused by wind wheel unbalances, shaft imbalances, or mechanical looseness. This kind of event will directly cause oscillation on the output signal of the generator such as generated output power, current, and voltage. The proposed control method will improve the performance of the DFIG control system by reducing the oscillation of the generator output and allowing the system to operate during the slightly unbalanced condition. To suppress the vibration and minimize the oscillation of the generated output, in addition to reducing the stresses on the wind turbine, the rotor side inverter controller is designed and tested by way of a digital simulation on the Matlab/Simulink platform. The wireless health monitoring system for wind turbine based on vibration detection shows the validity and distinct advantages in such a condition based monitoring system. The severity level of rotor imbalance is successfully estimated by using machine vibration analysis. Moreover, the systematic control design of the proposed vibration suppression by means of a rotor side inverter controller is explored and discussed. The real wind speed data of four different cases from the ERCOT system were used as input to test the performance and capabilities of the control scheme. The simulation results of the generator output show the effectiveness of this proposed rotor side inverter controller. It effectively reduces the oscillation of power, current, and torque output of the DFIG wind turbine.
Author: James F. Manwell
Publisher: John Wiley & Sons
ISBN: 9780470686287
Category : Technology & Engineering
Languages : en
Pages : 704
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Book Description
Wind energy’s bestselling textbook- fully revised. This must-have second edition includes up-to-date data, diagrams, illustrations and thorough new material on: the fundamentals of wind turbine aerodynamics; wind turbine testing and modelling; wind turbine design standards; offshore wind energy; special purpose applications, such as energy storage and fuel production. Fifty additional homework problems and a new appendix on data processing make this comprehensive edition perfect for engineering students. This book offers a complete examination of one of the most promising sources of renewable energy and is a great introduction to this cross-disciplinary field for practising engineers. “provides a wealth of information and is an excellent reference book for people interested in the subject of wind energy.” (IEEE Power & Energy Magazine, November/December 2003) “deserves a place in the library of every university and college where renewable energy is taught.” (The International Journal of Electrical Engineering Education, Vol.41, No.2 April 2004) “a very comprehensive and well-organized treatment of the current status of wind power.” (Choice, Vol. 40, No. 4, December 2002)
Author: Zhong Lin Wang
Publisher: Springer
ISBN: 3319400398
Category : Technology & Engineering
Languages : en
Pages : 537
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Book Description
This book introduces an innovative and high-efficiency technology for mechanical energy harvesting. The book covers the history and development of triboelectric nanogenerators, basic structures, working principles, performance characterization, and potential applications. It is divided into three parts: Part A illustrates the fundamental working modes of triboelectric nanogenerators with their prototype structures and theoretical analysis; Part B and Part C introduce two categories of applications, namely self-powered systems and self-powered active sensors. The book will be an ideal guide to scientists and engineers beginning to study triboelectric nanogenerators or wishing to deepen their knowledge of the field. Readers will be able to place the technical details about this technology in context, and acquire the necessary skills to reproduce the experimental setups for fabrication and measurement.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Gerard Meijer
Publisher: John Wiley & Sons
ISBN: 1118703170
Category : Technology & Engineering
Languages : en
Pages : 314
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Book Description
With contributions from an internationally-renowned group of experts, this book uses a multidisciplinary approach to review recent developments in the field of smart sensor systems, covering important system and design aspects. It examines topics over the whole range of sensor technology from the theory and constraints of basic elements, physics and electronics, up to the level of application-orientated issues. Developed as a complementary volume to ‘Smart Sensor Systems’ (Wiley 2008), which introduces the basics of smart sensor systems, this volume focuses on emerging sensing technologies and applications, including: State-of-the-art techniques for designing smart sensors and smart sensor systems, including measurement techniques at system level, such as dynamic error correction, calibration, self-calibration and trimming. Circuit design for sensor systems, such as the design of precision instrumentation amplifiers. Impedance sensors, and the associated measurement techniques and electronics, that measure electrical characteristics to derive physical and biomedical parameters, such as blood viscosity or growth of micro-organisms. Complete sensor systems-on-a-chip, such as CMOS optical imagers and microarrays for DNA detection, and the associated circuit and micro-fabrication techniques. Vibratory gyroscopes and the associated electronics, employing mechanical and electrical signal amplification to enable low-power angular-rate sensing. Implantable smart sensors for neural interfacing in bio-medical applications. Smart combinations of energy harvesters and energy-storage devices for autonomous wireless sensors. Smart Sensor Systems: Emerging Technologies and Applications will greatly benefit final-year undergraduate and postgraduate students in the areas of electrical, mechanical and chemical engineering, and physics. Professional engineers and researchers in the microelectronics industry, including microsystem developers, will also find this a thorough and useful volume.
