Power Management in Energy Harvesting Embedded Systems PDF Download
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Author: Clemens Moser
Publisher:
ISBN: 9783832282059
Category : Energy harvesting
Languages : en
Pages : 132
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Book Description
Author: Clemens Moser
Publisher:
ISBN: 9783832282059
Category : Energy harvesting
Languages : en
Pages : 132
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Book Description
Author: Shaobo Liu
Publisher:
ISBN: 9781124221281
Category : Computer scheduling
Languages : en
Pages : 234
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Book Description
Author: Jun Lu
Publisher:
ISBN: 9781267651525
Category : Computer scheduling
Languages : en
Pages : 246
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Book Description
Author: Alexander Douglas Schlichting
Publisher:
ISBN:
Category :
Languages : en
Pages : 97
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Book Description
Small-scale, low-mass embedded systems have received significant interest in a variety of applications as the capabilities of embedded electronics have increased. Examples of new realizable applications are self-reliant bio-loggers and tracking tags for small animals. Due to the small scale and low power levels, the power management for these systems presents significant challenges. In this dissertation, research will be presented on various aspects of the flow of energy on a self-reliant embedded system. First, an investigation into the dynamics of combining the power from multiple energy harvesting devices will be shown. The work provides guidelines for energy harvesting systems combining photovoltaic and piezoelectric devices as well as an array of multiple piezoelectric devices. Using the knowledge gained from this work, effective multi-source energy harvesting systems can be designed. Next, a novel method for the low-loss AC-DC rectification of a vibration energy harvester is presented and evaluated. The new rectification technique allows for more efficient power conversion in addition to the rectification of low-voltage harvesting systems. This is performed without active electrical circuitry and does not require external power sources for full operation. The last topic is the investigation of the energy storage design challenges for a self-reliant avian bio-logger. Prototypical operation requirements are developed to determine the most pertinent challenges and a preliminary system design is presented and evaluated. Using the analyses performed on the prototypical system, new small-scale self-reliant embedded systems can be realized to further increase the tools scientists have at their disposal for understanding the behavior of small animals.
Author: Nga Dang
Publisher:
ISBN: 9781339124025
Category :
Languages : en
Pages :
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Book Description
Embedded system market growth is fast in the last couple of decades, especially with the current demand for embedded processing to support IoT services. However, to power billions of IoT devices and embedded systems is a challenge. Energy harvesting has emerged as a promising power supply alternative for embedded systems, enabling systems to convert renewable energy sources in the surrounding environment (solar, wind, thermal, kinetic energy, etc.) to electrical energy. Nevertheless, these renewable energy sources often exhibit temporal and spatial variations, which cause uncertainties and fluctuations in the energy supply of the systems. Furthermore, the complex non-ideal characteristics of harvesting circuit components such as converters and energy storage make it even more challenging for energy management. In this thesis, I propose a harvesting-aware and quality-aware energy management middleware framework for solar-powered embedded systems, modeling them as complete Cyber Physical Systems, optimizing performance (Quality of Service), and tackling their mentioned challenges. The energy management middleware framework exploits energy harvesting history, patterns, and prediction algorithms to extrapolate solar harvesting in the next harvesting period. The prediction is used by an offline algorithm to assign QoS for each time slot in the next harvesting period. The objective is to maximize total QoS while meeting energy harvesting constraints. An online adaptation phase is employed to adjust QoS assignment if actual harvesting profile deviates from offline prediction. This thesis explores the notion of application QoS and QoS adaptation in two middlewares for two types of systems: communication-intensive and computation-intensive. In communication-intensive systems, such as wireless sensor networks, where majority of tasks (and energy consumption) are sending and receiving messages, we exploit the tolerance to data inaccuracy in data transmission. In computation-intensive systems such as real-time systems, application QoS can be expressed as quantity and distribution off real-time task completion. In particular, we target firm real-time systems with adaptive QoS. Furthermore, energy harvesting embedded systems require energy storage to smooth out fluctuations and store energy for long term operation. Two types of commonly used energy storage elements are batteries and supercapacitors. Frequent charging and discharging accelerate the aging of batteries while supercapacitors suffer from high leakage. Therefore in this middleware, in orchestration with QoS adaptation, we propose algorithms to keep battery aging under threshold and reduce leakage from supercapacitors. Lastly, as an alternative to prediction and deterministic approach above, we explore stochastic modeling using Finite State Markov Chain and propose a novel unified stochastic model and optimization for solar-powered embedded systems. We observe that stochastic model improves the system’s ability to capture and adapt to variations in energy harvesting supply and application demand.
Author: Bernhard Raget Buchli
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Yen Kheng Tan
Publisher: CRC Press
ISBN: 1439894353
Category : Technology & Engineering
Languages : en
Pages : 254
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Book Description
Energy Harvesting Autonomous Sensor Systems: Design, Analysis, and Practical Implementation provides a wide range of coverage of various energy harvesting techniques to enable the development of a truly self-autonomous and sustainable energy harvesting wireless sensor network (EH-WSN). It supplies a practical overview of the entire EH-WSN system from energy source all the way to energy usage by wireless sensor nodes/network. After an in-depth review of existing energy harvesting research thus far, the book focuses on: Outlines two wind energy harvesting (WEH) approaches, one using a wind turbine generator and one a piezoelectric wind energy harvester Covers thermal energy harvesting (TEH) from ambient heat sources with low temperature differences Presents two types of piezoelectric-based vibration energy harvesting systems to harvest impact or impulse forces from a human pressing a button or switch action Examines hybrid energy harvesting approaches that augment the reliability of the wireless sensor node’s operation Discusses a hybrid wind and solar energy harvesting scheme to simultaneously use both energy sources and therefore extend the lifetime of the wireless sensor node Explores a hybrid of indoor ambient light and TEH scheme that uses only one power management circuit to condition the combined output power harvested from both energy sources Although the author focuses on small-scale energy harvesting, the systems discussed can be upsized to large-scale renewable energy harvesting systems. The book goes beyond theory to explore practical applications that not only solve real-life energy issues but pave the way for future work in this area.
Author: Carlos Manuel Ferreira Carvalho
Publisher: Springer
ISBN: 3319216171
Category : Technology & Engineering
Languages : en
Pages : 221
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Book Description
This book discusses in detail the CMOS implementation of energy harvesting. The authors describe an integrated, indoor light energy harvesting system, based on a controller circuit that dynamically and automatically adjusts its operation to meet the actual light circumstances of the environment where the system is placed. The system is intended to power a sensor node, enabling an autonomous wireless sensor network (WSN). Although designed to cope with indoor light levels, the system is also able to work with higher levels, making it an all-round light energy harvesting system. The discussion includes experimental data obtained from an integrated manufactured prototype, which in conjunction with a photovoltaic (PV) cell, serves as a proof of concept of the desired energy harvesting system.
Author: Been-Chian Chien
Publisher: Springer Science & Business Media
ISBN: 3642025676
Category : Computers
Languages : en
Pages : 857
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Book Description
The International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), always sponsored by the International So- ety of Applied Intelligence (ISAI), emphasizes applications of applied intelligent systems to solve real-life problems in all areas. It is held every year and has become one of the biggest and most important academic activities concerning the theory and applications of intelligent systems in the world. The IEA/AIE 2009 conference was hosted by the National University of Tainan and National University of Kaohsiung in Taiwan. This was the first time that the IEA/AIE conference was held in Taiwan. We received 286 papers from all parts of the world. Only 84 papers were selected for publication in this volume of LNAI proceedings. Each paper was reviewed by at least two anonymous referees to assure the high quality. We would like to express our sincere thanks to the Program Committee members and all the reviewers for their hard work, which helped us to select the highest quality papers for the conference. These papers highlight opportunities and challenges for the next generation of applied int- ligence and reveal technological innovations in real applications.
Author: Christoph Grimm
Publisher: Springer Science & Business Media
ISBN: 1441987959
Category : Technology & Engineering
Languages : en
Pages : 159
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Book Description
This book provides a comprehensive introduction to embedded systems for smart appliances and energy management, bringing together for the first time a multidisciplinary blend of topics from embedded systems, information technology and power engineering. Coverage includes challenges for future resource distribution grids, energy management in smart appliances, micro energy generation, demand response management, ultra-low power stand by, smart standby and communication networks in home and building automation.
