107 research outputs found
Control method, circuit topology, and power architecture for high-performance single-phase AC/DC conversion.
This thesis explores new approaches, including a new control method, a new power factor correction (PFC) front-end topology, and two power architectures to improve the performance of AC–DC power converters
Control method, circuit topology, and power architecture for high-performance single-phase AC/DC conversion.
This thesis explores new approaches, including a new control method, a new power factor correction (PFC) front-end topology, and two power architectures to improve the performance of AC–DC power converters
IoT and Sensor Networks in Industry and Society
The exponential progress of Information and Communication Technology (ICT) is one of the main elements that fueled the acceleration of the globalization pace. Internet of Things (IoT), Artificial Intelligence (AI) and big data analytics are some of the key players of the digital transformation that is affecting every aspect of human's daily life, from environmental monitoring to healthcare systems, from production processes to social interactions. In less than 20 years, people's everyday life has been revolutionized, and concepts such as Smart Home, Smart Grid and Smart City have become familiar also to non-technical users.
The integration of embedded systems, ubiquitous Internet access, and Machine-to-Machine (M2M) communications have paved the way for paradigms such as IoT and Cyber Physical Systems (CPS) to be also introduced in high-requirement environments such as those related to industrial processes, under the forms of Industrial Internet of Things (IIoT or I2oT) and Cyber-Physical Production Systems (CPPS). As a consequence, in 2011 the German High-Tech Strategy 2020 Action Plan for Germany first envisioned the concept of Industry 4.0, which is rapidly reshaping traditional industrial processes. The term refers to the promise to be the fourth industrial revolution. Indeed, the first industrial revolution was triggered by water and steam power. Electricity and assembly lines enabled mass production in the second industrial revolution. In the third industrial revolution, the introduction of control automation and Programmable Logic Controllers (PLCs) gave a boost to factory production. As opposed to the previous revolutions, Industry 4.0 takes advantage of Internet access, M2M communications, and deep learning not only to improve production efficiency but also to enable the so-called mass customization, i.e. the mass production of personalized products by means of modularized product design and flexible processes.
Less than five years later, in January 2016, the Japanese 5th Science and Technology Basic Plan took a further step by introducing the concept of Super Smart Society or Society 5.0. According to this vision, in the upcoming future, scientific and technological innovation will guide our society into the next social revolution after the hunter-gatherer, agrarian, industrial, and information eras, which respectively represented the previous social revolutions. Society 5.0 is a human-centered society that fosters the simultaneous achievement of economic, environmental and social objectives, to ensure a high quality of life to all citizens. This information-enabled revolution aims to tackle today’s major challenges such as an ageing population, social inequalities, depopulation and constraints related to energy and the environment. Accordingly, the citizens will be experiencing impressive transformations into every aspect of their daily lives.
This book offers an insight into the key technologies that are going to shape the future of industry and society. It is subdivided into five parts: the I Part presents a horizontal view of the main enabling technologies, whereas the II-V Parts offer a vertical perspective on four different environments.
The I Part, dedicated to IoT and Sensor Network architectures, encompasses three Chapters. In Chapter 1, Peruzzi and Pozzebon analyse the literature on the subject of energy harvesting solutions for IoT monitoring systems and architectures based on Low-Power Wireless Area Networks (LPWAN). The Chapter does not limit the discussion to Long Range Wise Area Network (LoRaWAN), SigFox and Narrowband-IoT (NB-IoT) communication protocols, but it also includes other relevant solutions such as DASH7 and Long Term Evolution MAchine Type Communication (LTE-M). In Chapter 2, Hussein et al. discuss the development of an Internet of Things message protocol that supports multi-topic messaging. The Chapter further presents the implementation of a platform, which integrates the proposed communication protocol, based on Real Time Operating System. In Chapter 3, Li et al. investigate the heterogeneous task scheduling problem for data-intensive scenarios, to reduce the global task execution time, and consequently reducing data centers' energy consumption. The proposed approach aims to maximize the efficiency by comparing the cost between remote task execution and data migration.
The II Part is dedicated to Industry 4.0, and includes two Chapters. In Chapter 4, Grecuccio et al. propose a solution to integrate IoT devices by leveraging a blockchain-enabled gateway based on Ethereum, so that they do not need to rely on centralized intermediaries and third-party services.
As it is better explained in the paper, where the performance is evaluated in a food-chain traceability application, this solution is particularly beneficial in Industry 4.0 domains. Chapter 5, by De Fazio et al., addresses the issue of safety in workplaces by presenting a smart garment that integrates several low-power sensors to monitor environmental and biophysical parameters. This enables the detection of dangerous situations, so as to prevent or at least reduce the consequences of workers accidents.
The III Part is made of two Chapters based on the topic of Smart Buildings. In Chapter 6, Petroșanu et al. review the literature about recent developments in the smart building sector, related to the use of supervised and unsupervised machine learning models of sensory data. The Chapter poses particular attention on enhanced sensing, energy efficiency, and optimal building management. In Chapter 7, Oh examines how much the education of prosumers about their energy consumption habits affects power consumption reduction and encourages energy conservation, sustainable living, and behavioral change, in residential environments. In this Chapter, energy consumption monitoring is made possible thanks to the use of smart plugs.
Smart Transport is the subject of the IV Part, including three Chapters. In Chapter 8, Roveri et al. propose an approach that leverages the small world theory to control swarms of vehicles connected through Vehicle-to-Vehicle (V2V) communication protocols. Indeed, considering a queue dominated by short-range car-following dynamics, the Chapter demonstrates that safety and security are increased by the introduction of a few selected random long-range communications. In Chapter 9, Nitti et al. present a real time system to observe and analyze public transport passengers' mobility by tracking them throughout their journey on public transport vehicles. The system is based on the detection of the active Wi-Fi interfaces, through the analysis of Wi-Fi probe requests. In Chapter 10, Miler et al. discuss the development of a tool for the analysis and comparison of efficiency indicated by the integrated IT systems in the operational activities undertaken by Road Transport Enterprises (RTEs). The authors of this Chapter further provide a holistic evaluation of efficiency of telematics systems in RTE operational management.
The book ends with the two Chapters of the V Part on Smart Environmental Monitoring. In Chapter 11, He et al. propose a Sea Surface Temperature Prediction (SSTP) model based on time-series similarity measure, multiple pattern learning and parameter optimization. In this strategy, the optimal parameters are determined by means of an improved Particle Swarm Optimization method. In Chapter 12, Tsipis et al. present a low-cost, WSN-based IoT system that seamlessly embeds a three-layered cloud/fog computing architecture, suitable for facilitating smart agricultural applications, especially those related to wildfire monitoring.
We wish to thank all the authors that contributed to this book for their efforts. We express our gratitude to all reviewers for the volunteering support and precious feedback during the review process. We hope that this book provides valuable information and spurs meaningful discussion among researchers, engineers, businesspeople, and other experts about the role of new technologies into industry and society
Design of Low-Cost Energy Harvesting and Delivery Systems for Self-Powered Devices: Application to Authentication IC
This thesis investigates the development of low-cost energy harvesting and delivery systems for low-power low-duty-cycle devices. Initially, we begin by designing a power management scheme for on-demand power delivery. The baseline implementation is also used to identify critical challenges for low-power energy harvesting. We further propose a robust self-powered energy harvesting and delivery system (EHDS) design as a solution to achieve energy autonomy in standalone systems. The design demonstrates a complete ecosystem for low-overhead pulse-frequency modulated (PFM) harvesting while reducing harvesting window confinement and overall implementation footprint. Two transient-based models are developed for improved accuracy during design space exploration and optimization for both PFM power conversion and energy harvesting. Finally, a low-power authentication IC is demonstrated and projected designs for self-powered System-on-Chips (SoCs) are presented. The proposed designs are proto-typed in two test-chips in a 65nm CMOS process and measurement data showcase improved performance in terms of battery power, cold-start duration, passives (inductance and capacitance) needed, and end-to-end harvesting/conversion efficiency.Ph.D
Lisímetro inteligente com monitorização da cultura e ambiente: Uma aproximação IoT
Adotando uma abordagem IoT apresentamos um modelo de lisímetro inteligente, melhorado
com análise de pragas e o estado da cultura. Além da obtenção do balanço tradicional
de evaporação-transpiração, o lisímetro mede parâmetros adicionais tais como a
temperatura e humidade do solo, a diferentes profundidades; temperatura e humidade do
ar; exposição à luz solar (visível e infravermelho). Além disso, o sistema faz a captura
imagens de alta resolução da cultura alvo. Estas imagens são processadas localmente,
para redução de dados que são armazenados posteriormente numa plataforma remota. O
objetivo principal é a monitorização e com vista ao aumento da produtividade global da
cultura. Este lisímetro também fornece dados para um sistema global de monitorização
de recursos hídricos que integra informações de várias fontes: outros lisímetros, estações
meteorológicas, sistemas de monitorização da qualidade da água, etc.. O resultado deste
trabalho culminou no desenvolvimento e teste de um protótipo funcional
Power Converters in Power Electronics
In recent years, power converters have played an important role in power electronics technology for different applications, such as renewable energy systems, electric vehicles, pulsed power generation, and biomedical sciences. Power converters, in the realm of power electronics, are becoming essential for generating electrical power energy in various ways. This Special Issue focuses on the development of novel power converter topologies in power electronics. The topics of interest include, but are not limited to: Z-source converters; multilevel power converter topologies; switched-capacitor-based power converters; power converters for battery management systems; power converters in wireless power transfer techniques; the reliability of power conversion systems; and modulation techniques for advanced power converters
Emerging Converter Topologies and Control for Grid Connected Photovoltaic Systems
Continuous cost reduction of photovoltaic (PV) systems and the rise of power auctions resulted in the establishment of PV power not only as a green energy source but also as a cost-effective solution to the electricity generation market. Various commercial solutions for grid-connected PV systems are available at any power level, ranging from multi-megawatt utility-scale solar farms to sub-kilowatt residential PV installations. Compared to utility-scale systems, the feasibility of small-scale residential PV installations is still limited by existing technologies that have not yet properly address issues like operation in weak grids, opaque and partial shading, etc. New market drivers such as warranty improvement to match the PV module lifespan, operation voltage range extension for application flexibility, and embedded energy storage for load shifting have again put small-scale PV systems in the spotlight. This Special Issue collects the latest developments in the field of power electronic converter topologies, control, design, and optimization for better energy yield, power conversion efficiency, reliability, and longer lifetime of the small-scale PV systems. This Special Issue will serve as a reference and update for academics, researchers, and practicing engineers to inspire new research and developments that pave the way for next-generation PV systems for residential and small commercial applications
CONTROL STRATEGIES OF DC MICROGRID TO ENABLE A MORE WIDE-SCALE ADOPTION
Microgrids are gaining popularity in part for their ability to support increased penetration
of distributed renewable energy sources, aiming to meet energy demand and overcome global
warming concerns. DC microgrid, though appears promising, introduces many challenges in the
design of control systems in order to ensure a reliable, secure and economical operation. To enable
a wider adoption of DC microgrid, this dissertation examines to combine the characteristics and
advantages of model predictive control (MPC) and distributed droop control into a hierarchy and
fully autonomous control of the DC microgrid. In addition, new maximum power point tracking
technique (MPPT) for solar power and active power decoupling technique for the inverter are
presented to improve the efficiency and reliability of the DC microgrid.
With the purpose of eliminating the oscillation around the maximum power point (MPP),
an improved MPPT technique was proposed by adding a steady state MPP determination algorithm
after the adaptive perturb and observe method. This control method is proved independent with
the environmental conditions and has much smaller oscillations around the MPP compared to
existing ones. Therefore, it helps increase the energy harvest efficiency of the DC microgrid with
less continuous DC power ripple.
A novel hierarchy strategy consisting of two control loops is proposed to the DC microgrid
in study, which is composed of two PV boost converters, two battery bi-directional converters and
one multi-level packed-u-cell inverter with grid connected. The primary loop task is the control of
each energy unit in the DC microgrid based on model predictive current control. Compared with
traditional PI controllers, MPC speeds up the control loop since it predicts error before the
switching signal is applied to the converter. It is also free of tuning through the minimization of a
flexible user-defined cost function. Thus, the proposed primary loop enables the system to be
expandable by adding additional energy generation units without affecting the existing ones.
Moreover, the maximum power point tracking and battery energy management of each energy unit
are included in this loop. The proposed MPC also achieves unity power factor, low grid current
total harmonics distortion. The secondary loop based on the proposed autonomous droop control
identifies the operation modes for each converter: current source converter (CSC) or voltage source
converter (VSC). To reduce the dependence on the high bandwidth communication line, the DC
bus voltage is utilized as the trigger signal to the change of operation modes. With the sacrifice of
small variations of bus voltage, a fully autonomous control can be realized. The proposed
distributed droop control of different unit converters also eliminates the potential conflicts when
more than two converters compete for the VSC mode.
Single-phase inverter systems in the DC microgrid have low frequency power ripple, which
adversely affects the system reliability and performance. A power decoupling circuit based on the
proposed dual buck converters are proposed to address the challenges. The topology is free of
shoot-through and deadtime concern and the control is independent with that of the main power
stage circuit, which makes the design simpler and more reliable. Moreover, the design of both PI
and MPC controllers are discussed and compared. While, both methods present satisfied
decoupling performances on the system, the proposed MPC is simpler to be implemented.
In conclusion, the DC microgrid may be more widely adopted in the future with the
proposed control strategies to address the current challenges that hinder its further development
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