Analysis, Design and implementation of Energy Harvesting Systems for Wireless Sensor Nodes.

Ph.DDOCTOR OF PHILOSOPH

Analysis and Design of Current-fed Wireless Inductive Power Transfer Systems

Wireless Inductive Power Transfer (IPT) technology promises a very convenient, reliable, and safe way of transferring power wirelessly. Recent research on IPT establishes its indispensable role and suitability in electric vehicle (EV) applications. Efficient design of both converters and IPT coils are essential to make this technology feasible for mass deployment. The existing research on IPT is mainly based on power converters derived from voltage-source inverter (VSI) topologies, where feasibility of current-source inverter (CSI) has received very limited attention. Considering certain limitations of voltage-fed converters, this research is focused on the concept study and feasibility analysis of current-fed power electronics for IPT systems, where the primary application is EV charging. CSI leads to parallel LC resonance in the primary side of IPT. The advantages of the parallel tank networks include lower inverter device current stress, very close to sinusoidal coil current, soft-switching of inverter devices, and natural short circuit protection during fault etc. Considering these merits, a new IPT topology is proposed in this thesis, where the inverter is full-bridge CSI and the compensations in primary and secondary sides are parallel and series types, respectively. Compared with the existing IPT topology with current-fed push-pull inverter, the proposed system does not have startup and frequency bifurcation issues. However, due to weak coupling between IPT coils, the primary side parallel capacitor experiences high voltage stress in higher power levels, and this voltage directly appears on inverter devices. To overcome this, a modified IPT topology fed from a CSI is proposed, where the primary compensation is parallel-series type and secondary compensation is series type. Detailed steady-state operation, converter design, soft-switching conditions, small-signal modelling, and closed-loop control are reported for both the topologies. To verify analytical predictions, numerical simulation is performed in PSIM 10 and experimental results obtained from a 1.6kW lab-built prototype are reported. Considering the requirement of bi-directional power flow capability to support energy injection from vehicle to grid (V2G) for future smart-grid applications, a new bidirectional IPT topology with current-fed converter is proposed. It has current-sharing feature in grid side converter and voltage doubling feature in vehicle side converter. This is the first attempt to implement bidirectional IPT with current-fed circuit and demonstrate grid to vehicle (G2V) and V2G operation. Keeping inverter output power factor lagging, ZVS turn-on of the inverter devices are always ensured irrespective of load variation. Detailed steady-state operation and converter design for both G2V and V2G modes are reported. Experimental results obtained from a 1.2kW lab-prototype are reported to verify the analysis and performances of bidirectional IPT circuit. The last part of this thesis addresses the possible improvements on reducing the number of power conversion stages to achieve higher system efficiency, compact size and reduced cost. This is usually done by using direct ac-ac converter as the primary side converter of IPT. Existing single stage IPT topologies are derived from VSI topology. From source side, these topologies have buck derived structure; therefore, none of them draw high quality current from source. In this thesis a new single stage IPT topology is proposed, which has boost derived structure and thereby capable of maintaining unity power factor at source. Dynamic load demand, source current waveshaping and effective wireless power transfer are achieved with two-loop control method. Experimental results obtained from a 1.2kW grid-connected lab-prototype are reported to justify the suitability of this single-stage IPT topology for practical use

Advance in Energy Harvesters/Nanogenerators and Self-Powered Sensors

This reprint is a collection of the Special Issue "Advance in Energy Harvesters/Nanogenerators and Self-Powered Sensors" published in Nanomaterials, which includes one editorial, six novel research articles and four review articles, showcasing the very recent advances in energy-harvesting and self-powered sensing technologies. With its broad coverage of innovations in transducing/sensing mechanisms, material and structural designs, system integration and applications, as well as the timely reviews of the progress in energy harvesting and self-powered sensing technologies, this reprint could give readers an excellent overview of the challenges, opportunities, advancements and development trends of this rapidly evolving field

Advanced Energy Harvesting Technologies

Energy harvesting is the conversion of unused or wasted energy in the ambient environment into useful electrical energy. It can be used to power small electronic systems such as wireless sensors and is beginning to enable the widespread and maintenance-free deployment of Internet of Things (IoT) technology. This Special Issue is a collection of the latest developments in both fundamental research and system-level integration. This Special Issue features two review papers, covering two of the hottest research topics in the area of energy harvesting: 3D-printed energy harvesting and triboelectric nanogenerators (TENGs). These papers provide a comprehensive survey of their respective research area, highlight the advantages of the technologies and point out challenges in future development. They are must-read papers for those who are active in these areas. This Special Issue also includes ten research papers covering a wide range of energy-harvesting techniques, including electromagnetic and piezoelectric wideband vibration, wind, current-carrying conductors, thermoelectric and solar energy harvesting, etc. Not only are the foundations of these novel energy-harvesting techniques investigated, but the numerical models, power-conditioning circuitry and real-world applications of these novel energy harvesting techniques are also presented

Adaptive Resource Allocation Algorithms For Data And Energy Integrated Networks Supporting Internet of Things

According to the forecast, there are around 2.1 billion IoT devices connected to the network by 2022. The rapidly increased IoT devices bring enormous pressure to the energy management work as most of them are battery-powered gadgets. What’s more, in some specific scenarios, the IoT nodes are fitted in some extreme environment. For example, a large-scale IoT pressure sensor system is deployed underneath the floor to detect people moving across the floor. A density-viscosity sensor is deployed inside the fermenting vat to discriminate variations in density and viscosity for monitoring the wine fermentation. A strain distribution wireless sensor for detecting the crack formation of the bridge is deployed underneath the bridge and attached near the welded part of the steel. It is difficult for people to have an access to the extreme environment. Hence, the energy management work, namely, replacing batteries for the rapidly increased IoT sensors in the extreme environment brings more challenges. In order to reduce the frequency of changing batteries, the thesis proposes a self-management Data and Energy Integrated Network (DEIN) system, which designs a stable and controllable ambient RF resource to charge the battery-less IoT wireless devices. It embraces an adaptive energy management mechanism for automatically maintaining the energy level of the battery-less IoT wireless devices, which always keeps the devices within a workable voltage range that is from 2.9 to 4.0 volts. Based on the DEIN system, RF energy transmission is achieved by transmitting the designed packets with enhanced transmission power. However, it partly occupies the bandwidth which was only used for wireless information transmission. Hence, a scheduling cycle mechanism is proposed in the thesis for organizing the RF energy and wireless information transmission in separate time slots. In addition, a bandwidth allocation algorithm is proposed to minimize the bandwidth for RF energy transmission in order to maximize the throughput of wireless information. To harvest the RF energy, the RF-to-DC energy conversion is essential at the receiver side. According to the existing technologies, the hardware design of the RF-to-DC energy converter is normally realized by the voltage rectifier which is structured by multiple Schottky diodes and capacitors. Research proves that a maximum of 84% RF-to-DC conversion efficiency is obtained by comparing a variety of different wireless band for transmitting RF energy. Furthermore, there is energy loss in the air during transmitting the RF energy to the receiver. Moreover, the circuital loss happens when the harvested energy is utilized by electronic components. Hence, how to improve the efficiency of RF energy utilization is considered in the thesis. According to the scenario proposed in the thesis, the harvested energy is mainly consumed for uplink transmission. a resource allocation algorithm is proposed to minimize the system’s energy consumption per bit of uplink data. It works out the optimal transmission power for RF energy as well as the bandwidth allocated for RF energy and wireless information transmission. Referring to the existing RF energy transmission and harvesting application on the market, the Powercast uses the supercapacitor to preserve the harvested RF energy. Due to the lack of self-control energy management mechanism for the embedded sensor, the harvested energy is consumed quickly, and the system has to keep transmitting RF energy. Existing jobs have proposed energy-saving methods for IoT wireless devices such as how to put them in sleep mode and how to reduce transmission power. However,they are not adaptive, and that would be an issue for a practical application. In the thesis, an energy-saving algorithm is designed to adaptively manage the transmission power of the device for uplink data transmission. The algorithm balances the trade-off between the transmission power and the packet loss rate. It finds the optimal transmission power to minimize the average energy cost for uplink data transmission, which saves the harvested energy to reduce the frequency of RF energy transmission to free more bandwidth for wireless information

Efficiency and Sustainability of the Distributed Renewable Hybrid Power Systems Based on the Energy Internet, Blockchain Technology and Smart Contracts-Volume II

The climate changes that are becoming visible today are a challenge for the global research community. In this context, renewable energy sources, fuel cell systems, and other energy generating sources must be optimally combined and connected to the grid system using advanced energy transaction methods. As this reprint presents the latest solutions in the implementation of fuel cell and renewable energy in mobile and stationary applications, such as hybrid and microgrid power systems based on the Energy Internet, Blockchain technology, and smart contracts, we hope that they will be of interest to readers working in the related fields mentioned above

1D nanomaterial based piezoelectric nanogenerators for self-powered biocompatible energy harvesters

Wearable applications require power sources that are flexible, affordable, compact, and easily accessible. However, conventional power electronic devices are impractical due to their heaviness and rigidity. Additionally, batteries and external power sources have limited lifespans and applications, posing challenges for implanted and wearable devices that require consistent energy supplies. To overcome these challenges, 1D energy-related technologies have been developed, with nanogenerators emerging as an ideal power source. They can generate biomechanical energy from physical activities like muscle contraction and heartbeat and convert it into electrical signals for various applications, including biological indicator detection, cardiac pacing, nerve stimulation, and tissue repair. This review provides an overview of piezoelectric nanogenerators (PENGs) and recent progress in their development, with a focus on biomaterial-based PENGs for healthcare monitoring. Furthermore, the review discusses the future prospects and challenges of optimizing PENGs

Innovation in Energy Systems

It has been a little over a century since the inception of interconnected networks and little has changed in the way that they are operated. Demand-supply balance methods, protection schemes, business models for electric power companies, and future development considerations have remained the same until very recently. Distributed generators, storage devices, and electric vehicles have become widespread and disrupted century-old bulk generation - bulk transmission operation. Distribution networks are no longer passive networks and now contribute to power generation. Old billing and energy trading schemes cannot accommodate this change and need revision. Furthermore, bidirectional power flow is an unprecedented phenomenon in distribution networks and traditional protection schemes require a thorough fix for proper operation. This book aims to cover new technologies, methods, and approaches developed to meet the needs of this changing field

SUSTAINABLE ENERGY HARVESTING TECHNOLOGIES – PAST, PRESENT AND FUTURE

Chapter 8: Energy Harvesting Technologies: Thick-Film Piezoelectric Microgenerato