Cardoso, T., P. Pereira, V. Fernaao Pires, and J. F. Martins,
"Android-based m-learning remote system for mobile power quality assessment in large buildings with renewable energies",
Power Engineering, Energy and Electrical Drives (POWERENG), 2015 IEEE 5th International Conference on, Riga, Latvia, pp. 431-434, May, 2015.
AbstractPower Quality is a generic term focusing on several issues, going from reliability to the quality of service provided by the energy supplier. It addresses limiting aspects such as harmonic distortion, flicker, sags, swells and transients... It is important for the students to understand the differences between the large amounts of events that fit into poor power quality category. Moreover it is important for them to analyze real time non-laboratory events. To provide this experience to the students this paper presents a remote m-learning experimental system where several types of poor power quality events can be tested. The developed system is based on a power quality analysis distributed network and can be remotely accessed from a remote computer or smart phones.
Jorge, A., J. Guerreiro, P. Pereira, J. Martins, and L. Gomes,
"Energy Consumption Monitoring System for Large Complexes",
Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2010, vol. 314, Costa de Caparica - Portugal, Springer Boston, pp. 419-426, 2010.
AbstractThis paper describes the development of an open source system for monitoring and data acquisition of several energy analyzers. The developed system is based on a computer with Internet/Intranet connection by means of RS485 using Modbus RTU as communication protocol. The monitoring/metering system was developed for large building complexes and was validated in the Faculdade de Ciências e Tecnologia University campus. The system considers two distinct applications. The first one allows the user to verify, in real time, the energy consumption of any department in the complex, produce load diagrams, tables and print, email or save all available data. The second application keeps records of active/reactive energy consumption in order to verify the existence of some anomalous situation, and also monthly charge energy consumption to each corresponding department.
Pereira, P., M. Fino, F. Coito, and M. Ventim-Neves,
"GADISI – Genetic Algorithms Applied to the Automatic Design of Integrated Spiral Inductors",
Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2010, vol. 314, Costa de Caparica - Portugal, Springer Boston, pp. 515-522, 2010.
AbstractThis work introduces a tool for the optimization of CMOS integrated spiral inductors. The main objective of this tool is to offer designers a first approach for the determination of the inductor layout parameters. The core of the tool is a Genetic Algorithm (GA) optimization procedure where technology constraints on the inductor layout parameters are considered. Further constraints regarding inductor design heuristics are also accounted for. Since the layout parameters are inherently discrete due to technology and topology constraints, discrete variable optimization techniques are used. The Matlab GA toolbox is used and the modifications on the GA functions, yielding technology feasible solutions is presented. For the sake of efficiency and simplicity the pi-model is used for characterizing the inductor. The validity of the design results obtained with the tool, is checked against circuit simulation with ASITIC.
Sallem, A., P. Pereira, M. Fakhfakh, and H. Fino,
"A Multi-objective Simulation Based Tool: Application to the Design of High Performance LC-VCOs",
Technological Innovation for the Internet of Things, vol. 394, Portugal, Springer Berlin Heidelberg, pp. 459-468, 2013.
AbstractThe continuing size reduction of electronic devices imposes design challenges to optimize the performances of modern electronic systems, such as: wireless services, telecom and mobile computing. Fortunately, those design challenges can be overcome thanks to the development of Electronic Design Automation (EDA) tools. In the analog, mixed signal and radio-frequency (AMS/RF) domains, circuit optimization tools have demonstrated their usefulness in addressing design problems taking into account downscaling technological aspects. Recent advances in EDA have shown that the simulation-based sizing technique is a very interesting solution to the ‘complex’ modelling task in the circuit design optimization problem. In this paper we propose a multi-objective simulation-based optimization tool. A CMOS LC-VCO circuit is presented to show the viability of this tool. The tool is used to generate the Pareto front linking two conflicting objectives, namely the VCO Phase Noise and Power Consumption. The accuracy of the results is checked against HSPICE/RF simulations.
Pereira, P., H. Fino, F. Coito, and M. Ventim-Neves,
"Optimization-Based Design of Nano-CMOS LC-VCOs",
Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2012, vol. 372, Costa de Caparica - Portugal, Springer Boston, pp. 453-464, 2012.
AbstractThis paper introduces a variability-aware methodology for the design of LC-VCOs in Nano-CMOS technologies. The complexity of the design as well as the necessity for having an environment offering the possibility for exploring design trade-offs has led to the development of design methodologies based multi-objective optimization procedures yielding the generation of Pareto-optimal surfaces. The efficiency of the process is granted by using analytical models for both passive and active devices. Although physics-based analytical expressions have been proposed for the evaluation of the lumped elements, the variability of the process parameters is usually ignored due to the difficulty to formalize it into an optimization performance index. The usually adopted methodology of considering only optimum solutions for the Pareto surface, may lead to pruning quasi-optimal solutions that may prove to be better, should their sensitivity to process parameter variation be accounted for. In this work we propose starting by generating an extended Pareto surface where both optimum and quasi-optimum solutions are considered. Finally information on the sensitivity to process parameter variations, is used for electing the best design solution.
Cardoso, T., P. Pereira, V. Fernao Pires, and J. F. Martins,
"Power quality and long life education",
Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on, Istanbul - Turkey, pp. 2224 - 2228, 2014/06.
AbstractThis paper presents a remote laboratory linked with mobile devices for real data analysis on the field of power quality. A global system was developed from the power quality analyzer into the human machine interface devoted to the m-learning system. This m-learning system is intended to be used in a long life learning perspective. The developed remote laboratory is a good opportunity for people, even without deep knowledge on the field, to learn power quality principles in an applied way. Since the system is based on real data, is a good approach to give trainees practical knowledge on the field.
Pereira, P., F. Coito, and H. Fino,
"PSO-Based Design of RF Integrated Inductor",
Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2012, vol. 372, Costa de Caparica - Portugal, Springer Boston, pp. 475-482, 2012.
AbstractThis paper addresses an optimization-based approach for the design of RF integrated inductors. The methodology presented deals with the complexity of the design problem by formulating it as a multi-objective optimization. The multi-modal nature of the underlying functions combined with the need to be able to explore design trade-offs leads to the use of niching methods. This allows exploring not only the best trade-off solutions lying on the Pareto-optimum surface but also the quasi-optimum solutions that would be otherwise discarded. In this paper we take advantage of the niching properties of lbest PSO algorithm using ring topology to devise a simple optimizer able to find the local-optima. For the efficiency of the process analytical models are used for the passive/active devices. In spite the use of physics-based analytical expressions for the evaluation of the lumped elements, the variability of the process parameters is ignored in the optimization stage due to the significant computational burden it involves. Thus in the final stage both the Pareto-optimum solutions and the quasi-optimum solutions are evaluated with respect to the sensitivity to process parameter variations.
Marouani, H., A. Sallem, M. Chaoui, P. Pereira, and N. Masmoudi,
"A Robustness Study of Metaheuristics to the Optimal Design of RF Integrated Inductors",
2018 15th International Multi-Conference on Systems, Signals Devices (SSD), pp. 1459-1464, March, 2018.
AbstractIn this paper, three metaheuristics are investigated to optimize RF Integrated Inductors; namely Differential Evolution (DE) from the field of evolutionary computation, Gravitational Search Algorithm (GSA) based on the law of gravity and mass interactions and Particle Swarm Optimization (PSO) inspired by swarm behaviors in nature. A particular interest is given to the optimization of RF Integrated Inductors. Performances in terms of optimum quality and computing time of the metaheuristics are checked via three test functions and one application that consist of optimizing performances of characterize integrated inductors based on the double$π$-model.
Francisco, R., P. Pereira, and J. Martins,
"Sustainable Housing Techno-Economic Feasibility Application",
Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2011, vol. 349, Costa de Caparica - Portugal, Springer Boston, pp. 445-454, 2011.
AbstractThe high prices currently achieved in the acquisition of non-renewable energy for electricity production and the low levels of energy efficiency in the housing sector are the national situation, which leads the Portuguese government to encourage the acquisition, the installation and the use of technologies which exploit indigenous and renewable energy. This study presents an application that was developed in order to help the citizen in his decision to invest in renewable technologies in their homes. The application is able to elaborate an economic analysis based on the selected type of renewable technology, providing the user with the knowledge of benefits and the annual costs involved in the system that he selected. This tool aims at facilitating the interaction of any user with such technologies and it can be used as a helpful tool to support the decision of investment in such systems.
Almeida, P., P. Pereira, and H. Fino,
"Using Variable Width RF Integrated Inductors for Quality Factor Optimization",
Technological Innovation for the Internet of Things, vol. 394: Springer Berlin Heidelberg, pp. 619-627, 2013.
AbstractThe advancement of CMOS technology led to the integration of more complex functions. In the particular of wireless transceivers, integrated LC tanks are becoming popular both for VCOs and integrated filters [1]. For RF applications the main challenge is still the design of integrated inductors with the maximum quality factor. For that purpose, tapered, i.e., variable width inductors have been proposed in the literature. In this paper, analytical expressions for the determination the pi-model parameters, for the characterization of variable width integrated inductors are proposed. The expressions rely exclusively on geometrical and technological parameters, thus granting the rapid adaptation of the model to different technologies. The results obtained with the model are compared against simulation with ASITIC, showing errors below 10%. The model is then integrated into an optimization procedure where inductors with a quality factor improvement in the order of 20-30% are obtained, when compared with fixed width inductors.
Afonso, M., P. Pereira, and J. Martins,
"Weather Monitoring System for Renewable Energy Power Production Correlation",
Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2011, vol. 349, Costa de Caparica - Portugal, Springer Boston, pp. 481-490, 2011.
AbstractThis work describes the development of a system designed for renewable power generation integration. It continuously acquires wind, solar and temperature data, which is automatically correlated with energy parameters, obtained from renewable energy systems. The developed system was installed in an urban building equipped with photovoltaic cells and wind renewable generation. To validate the developed application, it was analyzed data of a wind generator and a set of photovoltaic panels, installed near to the weather station. The developed application allows, in addition to the acquisition of weather and energy data, their continuous monitoring and correlation through a graphical user interface, providing a friendly interactivity with the user.