Average-case analysis of power consumption in embedded systems

Power efficiency is one of the most important constraints in the design of embedded systems since such systems are generally driven by batteries with limited energy budget or restricted power supply. In every embedded system, there are one or more processor cores to run the software and interact with the other hardware components of the system. The power consumption of the processor core(s) has an important impact on the total power dissipated in the system. Hence, the processor power optimization is crucial in satisfying the power consumption constraints, and developing low-power embedded systems. A key aspect of research in processor power optimization and management is “power estimation”. Having a fast and accurate method for processor power estimation at design time helps the designer to explore a large space of design possibilities, to make the optimal choices for developing a power efficient processor. Likewise, understanding the processor power dissipation behaviour of a specific software/application is the key for choosing appropriate algorithms in order to write power efficient software. Simulation-based methods for measuring the processor power achieve very high accuracy, but are available only late in the design process, and are often quite slow. Therefore, the need has arisen for faster, higher-level power prediction methods that allow the system designer to explore many alternatives for developing powerefficient hardware and software. The aim of this thesis is to present fast and high-level power models for the prediction of processor power consumption. Power predictability in this work is achieved in two ways: first, using a design method to develop power predictable circuits; second, analysing the power of the functions in the code which repeat during execution, then building the power model based on average number of repetitions. In the first case, a design method called Asynchronous Charge Sharing Logic (ACSL) is used to implement the Arithmetic Logic Unit (ALU) for the 8051 microcontroller. The ACSL circuits are power predictable due to the independency of their power consumption to the input data. Based on this property, a fast prediction method is presented to estimate the power of ALU by analysing the software program, and extracting the number of ALU-related instructions. This method achieves less than 1% error in power estimation and more than 100 times speedup in comparison to conventional simulation-based methods. In the second case, an average-case processor energy model is developed for the Insertion sort algorithm based on the number of comparisons that take place in the execution of the algorithm. The average number of comparisons is calculated using a high level methodology called MOdular Quantitative Analysis (MOQA). The parameters of the energy model are measured for the LEON3 processor core, but the model is general and can be used for any processor. The model has been validated through the power measurement experiments, and offers high accuracy and orders of magnitude speedup over the simulation-based method.

Diseño y aplicación de un modelo de remuneración variable para una empresa del sector de las telecomunicaciones

Actualmente encontramos una fuerte presión en las organizaciones por adaptarse a un mundo competitivo con un descenso en las utilidades y una incertidumbre constante en su flujo de caja. Estas circunstancias obligan a las organizaciones al mejoramiento continuo buscando nuevas formas de gestionar sus procesos y sus recursos. Para las organizaciones de prestación de servicios en el sector de telecomunicaciones una de las ventajas competitivas más importantes de obtener es la productividad debido a que sus ganancias dependen directamente del número de actividades que puedan ejecutar cada empleado. El reto es hacer más con menos y con mejor calidad. Para lograrlo, la necesidad de gestionar efectivamente los recursos humanos aparece, y aquí es donde los sistemas de compensación toman un rol importante. El objetivo en este trabajo es diseñar y aplicar un modelo de remuneración variable para una empresa de prestación de servicios profesionales en el sector de las telecomunicaciones y con esto aportar al estudio de la gestión del desempeño y del talento humano en Colombia. Su realización permitió la documentación del diseño y aplicación del modelo de remuneración variable en un proyecto del sector de telecomunicaciones en Colombia. Su diseño utilizó las tendencias de programas remunerativos y teorías de gestión de desempeño para lograr un modelo integral que permita el crecimiento sostenido en el largo plazo y la motivación al recurso más importante de la organización que es el talento humano. Su aplicación permitió también la documentación de problemas y aciertos en la implementación de estos modelos.

Soft Power del Vaticano en el reconocimiento de Palestina como Estado

Desde 1945, el inicio de la cuestión palestina, el país ha sufrido una serie de transformaciones e intervenciones en su soberanía y en legitimidad, las cuales siguen en discusión actualmente; y han dado como resultado el estudio del reconocimiento de Palestina como Estado. Es pertinente hacer un acercamiento a este tema desde la variable religiosa (Vaticano), teniendo en cuenta el gran número de lugares sagrados que hay en la región de Palestina y la variable religiosa del conflicto Palestino-israelí. Desde la mirada del Soft Power, concepto que ha venido tomando fuerza en la academia desde 1980, podemos acercarnos al objeto de estudio y dilucidar las injerencias de este actor. Mediante una aproximación cualitativa, que conlleva análisis del discurso, análisis histórico y análisis de política exterior, se logrará obtener el resultado esperado, que es entender de qué manera el Vaticano ejerce influencia (ideológica y cultural) en el Sistema Internacional, en el asunto del reconocimiento de Palestina como Estado.

Short-Term Trading for a Wind-PV Power Producer in an Electricity Market

This paper deals with the problem of coordinated trading of wind and photovoltaic systems in order to find the optimal bid to submit in a pool-based electricity market. The coordination of wind and photovoltaic systems presents uncertainties not only due to electricity market prices, but also with wind and photovoltaic power forecast. Electricity markets are characterized by financial penalties in case of deficit or excess of generation. So, the aim o this work is to reduce these financial penalties and maximize the expected profit of the power producer. The problem is formulated as a stochastic linear programming problem. The proposed approach is validated with real data of pool-based electricity market of Iberian Peninsula.

Coordinated Scheduling of Wind-Thermal Gencos in Day-Ahead Markets

This paper presents a stochastic mixed-integer linear programming approach for solving the self-scheduling problem of a price-taker thermal and wind power producer taking part in a pool-based electricity market. Uncertainty on electricity price and wind power is considered through a set of scenarios. Thermal units are modeled by variable costs, start-up costs and technical operating constraints, such as: ramp up/down limits and minimum up/down time limits. An efficient mixed-integer linear program is presented to develop the offering strategies of the coordinated production of thermal and wind energy generation, aiming to maximize the expected profit. A case study with data from the Iberian Electricity Market is presented and results are discussed to show the effectiveness of the proposed approach.

Bidding Decision of Wind-Thermal GenCo in Day-Ahead Market

This paper deals with the self-scheduling problem of a price-taker having wind and thermal power production and assisted by a cyber-physical system for supporting management decisions in a day-ahead electric energy market. The self-scheduling is regarded as a stochastic mixed-integer linear programming problem. Uncertainties on electricity price and wind power are considered through a set of scenarios. Thermal units are modelled by start-up and variable costs, furthermore constraints are considered, such as: ramp up/down and minimum up/down time limits. The stochastic mixed-integer linear programming problem allows a decision support for strategies advantaging from an effective wind and thermal mixed bidding. A case study is presented using data from the Iberian electricity market.

Bidding strategy of wind-thermal energy producers

This paper presents a stochastic mixed-integer linear programming approach for solving the self-scheduling problem of a price-taker thermal and wind power producer taking part in a pool-based electricity market. Uncertainty on electricity price and wind power is considered through a set of scenarios. Thermal units are modelled by variable costs, start-up costs and technical operating constraints, such as: forbidden operating zones, ramp up/down limits and minimum up/down time limits. An efficient mixed-integer linear program is presented to develop the offering strategies of the coordinated production of thermal and wind energy generation, having as a goal the maximization of profit. A case study with data from the Iberian Electricity Market is presented and results are discussed to show the effectiveness of the proposed approach.

HVDC Power Transmission Simulation for Offshore Wind System with Three-Level Converter

An integrated mathematical model for the simulation of an offshore wind system performance is presented in this paper. The mathematical model considers an offshore variable-speed turbine in deep water equipped with a permanent magnet synchronous generator using multiple point full-power clamped three-level converter, converting the energy of a variable frequency source in injected energy into the electric network with constant frequency, through a HVDC transmission submarine cable. The mathematical model for the drive train is a concentrate two mass model which incorporates the dynamic for the blades of the wind turbine, tower and generator due to the need to emulate the effects of the wind and the floating motion. Controller strategy considered is a proportional integral one. Also, pulse width modulation using space vector modulation supplemented with sliding mode is used for trigger the transistors of the converter. Finally, a case study is presented to access the system performance.