Energy Harvesting and Energy Storage Systems

This book discuss the recent developments in energy harvesting and energy storage systems. Sustainable development systems are based on three pillars: economic development, environmental stewardship, and social equity. One of the guiding principles for finding the balance between these pillars is to limit the use of non-renewable energy sources

A test platform for dependability analysis of SoCs Exposed to EMI and radiation

With the IEC 62.132 proposal, the roadmap for standardization of Electromagnetic (EM) immunity measurement methods has reached a high degree of success. The same understanding can be taken from the MIL-STD-883 H for Total Ionizing Dose (TID) radiation. However, no effort has been made to measure the behavior of electronics operating under the combined effects of both, EM noise and TID radiation. For the reasons pointed out, the combined-effect measurements should be mandatory when dealing with Systems-on-Chip (SoCs) devoted to critical applications. In this paper, we present a configurable platform devoted to perform combined tests of EM immunity and TID radiation of SoCs according to the international standards.Fil: Benfica, Juliano. Pontificia Universidade Católica do Rio Grande do Sul; BrasilFil: Bolzani Poehls, Letícia Maria. Pontificia Universidade Católica do Rio Grande do Sul; BrasilFil: Vargas, Fabian. Pontificia Universidade Católica do Rio Grande do Sul; BrasilFil: Lipovetzky, José. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Lutenberg, Ariel. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gatti, Edmundo. Instituto Nacional de Tecnología Industrial. Centro de Electrónica e Informática; ArgentinaFil: Hernandez, Fernando. Universidad ORT Uruguay; Urugua

CMOS analog-digital circuit components for low power applications

Dissertação de mestrado em Micro and NanoelectronicsThis dissertation presents a study in the area of mixed analog/digital CMOS power extraction circuits for energy harvester. The main contribution of this work is the realization of low power consumption and high efficient circuit components employable in a management circuit for piezoelectricbased energy harvester. This thesis focuses on the development of current references and operational amplifiers addressing low power demands. A brief literature review is conducted on the components necessary for the power extraction circuit, including introduction to CMOS technology design and research of known low power circuits. It is presented with multiple implementations for voltage and current references, as well for operational amplifier designs. A self-biased current reference, capable of driving the remaining harvesting circuit, is designed and verified. A novel operational amplifier is proposed by the use of a minimum current selector circuit topology. It is a three-stage amplifier with an AB class output stage, comprised by a translinear circuit. The circuit is designed, taking into consideration noise reduction. The circuit components are designed based on the 0.35mm CMOS technology. A physical layout is developed for fabrication purposes. This technology was chosen with consideration of robustness, costliness and performance. The current reference is capable of outputting a stable 12nA current, which may remain stable in a broad range of power supply voltages with a minimum voltage of 1.6V. The operational amplifier operates correctly at voltages as low as 1.5V. The amplifier power consumption is extremely low, around 8mW, with an optimal quiescent current and minimum current preservation in the output stage.A principal contribuição desta dissertação é a implementação de circuitos integrados de muito baixo consumo e alta eficiência, prontos a ser implementados num circuito de extração de energia com base num elemento piezoelétrico. Esta tese foca-se no desenvolvimento de um circuito de referência de corrente e um amplificador operacional com baixa exigência de consumo. Uma revisão da literatura é realizada, incluindo introdução à tecnologia Complementary Metal-Oxide-Semiconductor (CMOS), e implementação de conhecidos circuitos de baixo consumo. Várias implementações de referência de tensão e corrente são consideradas, e amplificadores operacionais também. Uma referência de corrente auto polarizada com extremo baixo consumo é desenvolvida e verificada. Um amplificador operacional original é proposto com uma topologia de seleção de corrente mínima. Este circuito é constituído por três estágios, com um estágio de saída de classe AB, e um circuito translinear. O circuito tem em consideração redução de ruído na sua implementação. Os circuitos são desenvolvidos com base na tecnologia 0.35mm CMOS. Uma layout foi também desenhada com o propósito de fabricação. A tecnologia foi escolhida tendo em conta o seu custo versus desempenho. A referência de corrente produz uma corrente de 12nA, permanecendo estável para tensões de alimentação de variáveis, com uma tensão mínima de 1.6V. O circuito mostra um coeficiente de temperatura satisfatório. O amplificador operacional funciona com tensão de alimentação mínima de 1.5V, com um consumo baixo de 8mW, com uma corrente mínima mantida no estágio de saída

A survey on run-time power monitors at the edge

Effectively managing energy and power consumption is crucial to the success of the design of any computing system, helping mitigate the efficiency obstacles given by the downsizing of the systems while also being a valuable step towards achieving green and sustainable computing. The quality of energy and power management is strongly affected by the prompt availability of reliable and accurate information regarding the power consumption for the different parts composing the target monitored system. At the same time, effective energy and power management are even more critical within the field of devices at the edge, which exponentially proliferated within the past decade with the digital revolution brought by the Internet of things. This manuscript aims to provide a comprehensive conceptual framework to classify the different approaches to implementing run-time power monitors for edge devices that appeared in literature, leading the reader toward the solutions that best fit their application needs and the requirements and constraints of their target computing platforms. Run-time power monitors at the edge are analyzed according to both the power modeling and monitoring implementation aspects, identifying specific quality metrics for both in order to create a consistent and detailed taxonomy that encompasses the vast existing literature and provides a sound reference to the interested reader

Energy Measurements of High Performance Computing Systems: From Instrumentation to Analysis

Energy efficiency is a major criterion for computing in general and High Performance Computing in particular. When optimizing for energy efficiency, it is essential to measure the underlying metric: energy consumption. To fully leverage energy measurements, their quality needs to be well-understood. To that end, this thesis provides a rigorous evaluation of various energy measurement techniques. I demonstrate how the deliberate selection of instrumentation points, sensors, and analog processing schemes can enhance the temporal and spatial resolution while preserving a well-known accuracy. Further, I evaluate a scalable energy measurement solution for production HPC systems and address its shortcomings. Such high-resolution and large-scale measurements present challenges regarding the management of large volumes of generated metric data. I address these challenges with a scalable infrastructure for collecting, storing, and analyzing metric data. With this infrastructure, I also introduce a novel persistent storage scheme for metric time series data, which allows efficient queries for aggregate timelines. To ensure that it satisfies the demanding requirements for scalable power measurements, I conduct an extensive performance evaluation and describe a productive deployment of the infrastructure. Finally, I describe different approaches and practical examples of analyses based on energy measurement data. In particular, I focus on the combination of energy measurements and application performance traces. However, interweaving fine-grained power recordings and application events requires accurately synchronized timestamps on both sides. To overcome this obstacle, I develop a resilient and automated technique for time synchronization, which utilizes crosscorrelation of a specifically influenced power measurement signal. Ultimately, this careful combination of sophisticated energy measurements and application performance traces yields a detailed insight into application and system energy efficiency at full-scale HPC systems and down to millisecond-range regions.:1 Introduction 2 Background and Related Work 2.1 Basic Concepts of Energy Measurements 2.1.1 Basics of Metrology 2.1.2 Measuring Voltage, Current, and Power 2.1.3 Measurement Signal Conditioning and Analog-to-Digital Conversion 2.2 Power Measurements for Computing Systems 2.2.1 Measuring Compute Nodes using External Power Meters 2.2.2 Custom Solutions for Measuring Compute Node Power 2.2.3 Measurement Solutions of System Integrators 2.2.4 CPU Energy Counters 2.2.5 Using Models to Determine Energy Consumption 2.3 Processing of Power Measurement Data 2.3.1 Time Series Databases 2.3.2 Data Center Monitoring Systems 2.4 Influences on the Energy Consumption of Computing Systems 2.4.1 Processor Power Consumption Breakdown 2.4.2 Energy-Efficient Hardware Configuration 2.5 HPC Performance and Energy Analysis 2.5.1 Performance Analysis Techniques 2.5.2 HPC Performance Analysis Tools 2.5.3 Combining Application and Power Measurements 2.6 Conclusion 3 Evaluating and Improving Energy Measurements 3.1 Description of the Systems Under Test 3.2 Instrumentation Points and Measurement Sensors 3.2.1 Analog Measurement at Voltage Regulators 3.2.2 Instrumentation with Hall Effect Transducers 3.2.3 Modular Instrumentation of DC Consumers 3.2.4 Optimal Wiring for Shunt-Based Measurements 3.2.5 Node-Level Instrumentation for HPC Systems 3.3 Analog Signal Conditioning and Analog-to-Digital Conversion 3.3.1 Signal Amplification 3.3.2 Analog Filtering and Analog-To-Digital Conversion 3.3.3 Integrated Solutions for High-Resolution Measurement 3.4 Accuracy Evaluation and Calibration 3.4.1 Synthetic Workloads for Evaluating Power Measurements 3.4.2 Improving and Evaluating the Accuracy of a Single-Node Measuring System 3.4.3 Absolute Accuracy Evaluation of a Many-Node Measuring System 3.5 Evaluating Temporal Granularity and Energy Correctness 3.5.1 Measurement Signal Bandwidth at Different Instrumentation Points 3.5.2 Retaining Energy Correctness During Digital Processing 3.6 Evaluating CPU Energy Counters 3.6.1 Energy Readouts with RAPL 3.6.2 Methodology 3.6.3 RAPL on Intel Sandy Bridge-EP 3.6.4 RAPL on Intel Haswell-EP and Skylake-SP 3.7 Conclusion 4 A Scalable Infrastructure for Processing Power Measurement Data 4.1 Requirements for Power Measurement Data Processing 4.2 Concepts and Implementation of Measurement Data Management 4.2.1 Message-Based Communication between Agents 4.2.2 Protocols 4.2.3 Application Programming Interfaces 4.2.4 Efficient Metric Time Series Storage and Retrieval 4.2.5 Hierarchical Timeline Aggregation 4.3 Performance Evaluation 4.3.1 Benchmark Hardware Specifications 4.3.2 Throughput in Symmetric Configuration with Replication 4.3.3 Throughput with Many Data Sources and Single Consumers 4.3.4 Temporary Storage in Message Queues 4.3.5 Persistent Metric Time Series Request Performance 4.3.6 Performance Comparison with Contemporary Time Series Storage Solutions 4.3.7 Practical Usage of MetricQ 4.4 Conclusion 5 Energy Efficiency Analysis 5.1 General Energy Efficiency Analysis Scenarios 5.1.1 Live Visualization of Power Measurements 5.1.2 Visualization of Long-Term Measurements 5.1.3 Integration in Application Performance Traces 5.1.4 Graphical Analysis of Application Power Traces 5.2 Correlating Power Measurements with Application Events 5.2.1 Challenges for Time Synchronization of Power Measurements 5.2.2 Reliable Automatic Time Synchronization with Correlation Sequences 5.2.3 Creating a Correlation Signal on a Power Measurement Channel 5.2.4 Processing the Correlation Signal and Measured Power Values 5.2.5 Common Oversampling of the Correlation Signals at Different Rates 5.2.6 Evaluation of Correlation and Time Synchronization 5.3 Use Cases for Application Power Traces 5.3.1 Analyzing Complex Power Anomalies 5.3.2 Quantifying C-State Transitions 5.3.3 Measuring the Dynamic Power Consumption of HPC Applications 5.4 Conclusion 6 Summary and Outloo

Air Force Institute of Technology Research Report 2010

This report summarizes the research activities of the Air Force Institute of Technology’s Graduate School of Engineering and Management. It describes research interests and faculty expertise; lists student theses/dissertations; identifies research sponsors and contributions; and outlines the procedures for contacting the school. Included in the report are: faculty publications, conference presentations, consultations, and funded research projects. Research was conducted in the areas of Aeronautical and Astronautical Engineering, Electrical Engineering and Electro-Optics, Computer Engineering and Computer Science, Systems and Engineering Management, Operational Sciences, Mathematics, Statistics and Engineering Physic

Air Force Institute of Technology Research Report 2011

This report summarizes the research activities of the Air Force Institute of Technology’s Graduate School of Engineering and Management. It describes research interests and faculty expertise; lists student theses/dissertations; identifies research sponsors and contributions; and outlines the procedures for contacting the school. Included in the report are: faculty publications, conference presentations, consultations, and funded research projects. Research was conducted in the areas of Aeronautical and Astronautical Engineering, Electrical Engineering and Electro-Optics, Computer Engineering and Computer Science, Systems and Engineering Management, Operational Sciences, Mathematics, Statistics and Engineering Physics

NASA Tech Briefs, April 1990

Topics: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences