Reliability and availability in reconfigurable computing: a basis for a common solution

Dynamically reconfigurable SRAM-based field-programmable gate arrays (FPGAs) enable the implementation of reconfigurable computing systems where several applications may be run simultaneously, sharing the available resources according to their own immediate functional requirements. To exclude malfunctioning due to faulty elements, the reliability of all FPGA resources must be guaranteed. Since resource allocation takes place asynchronously, an online structural test scheme is the only way of ensuring reliable system operation. On the other hand, this test scheme should not disturb the operation of the circuit, otherwise availability would be compromised. System performance is also influenced by the efficiency of the management strategies that must be able to dynamically allocate enough resources when requested by each application. As those resources are allocated and later released, many small free resource blocks are created, which are left unused due to performance and routing restrictions. To avoid wasting logic resources, the FPGA logic space must be defragmented regularly. This paper presents a non-intrusive active replication procedure that supports the proposed test methodology and the implementation of defragmentation strategies, assuring both the availability of resources and their perfect working condition, without disturbing system operation.

Distributed Intelligent Management of Microgrids using a Multi-Agent Simulation Platform

Multi-agent approaches have been widely used to model complex systems of distributed nature with a large amount of interactions between the involved entities. Power systems are a reference case, mainly due to the increasing use of distributed energy sources, largely based on renewable sources, which have potentiated huge changes in the power systems’ sector. Dealing with such a large scale integration of intermittent generation sources led to the emergence of several new players, as well as the development of new paradigms, such as the microgrid concept, and the evolution of demand response programs, which potentiate the active participation of consumers. This paper presents a multi-agent based simulation platform which models a microgrid environment, considering several different types of simulated players. These players interact with real physical installations, creating a realistic simulation environment with results that can be observed directly in the reality. A case study is presented considering players’ responses to a demand response event, resulting in an intelligent increase of consumption in order to face the wind generation surplus.

Renewable-based generation integration in electricity markets with virtual power producers

The development of renewable energy sources and Distributed Generation (DG) of electricity is of main importance in the way towards a sustainable development. However, the management, in large scale, of these technologies is complicated because of the intermittency of primary resources (wind, sunshine, etc.) and small scale of some plants. The aggregation of DG plants gives place to a new concept: the Virtual Power Producer (VPP). VPPs can reinforce the importance of these generation technologies making them valuable in electricity markets. VPPs can ensure a secure, environmentally friendly generation and optimal management of heat, electricity and cold as well as optimal operation and maintenance of electrical equipment, including the sale of electricity in the energy market. For attaining these goals, there are important issues to deal with, such as reserve management strategies, strategies for bids formulation, the producers’ remuneration, and the producers’ characterization for coalition formation. This chapter presents the most important concepts related with renewable-based generation integration in electricity markets, using VPP paradigm. The presented case studies make use of two main computer applications:ViProd and MASCEM. ViProd simulates VPP operation, including the management of plants in operation. MASCEM is a multi-agent based electricity market simulator that supports the inclusion of VPPs in the players set.

Automated design of microwave discrete tuning differential capacitance circuits in Si-integrated technologies

A genetic algorithm used to design radio-frequency binary-weighted differential switched capacitor arrays (RFDSCAs) is presented in this article. The algorithm provides a set of circuits all having the same maximum performance. This article also describes the design, implementation, and measurements results of a 0.25 lm BiCMOS 3-bit RFDSCA. The experimental results show that the circuit presents the expected performance up to 40 GHz. The similarity between the evolutionary solutions, circuit simulations, and measured results indicates that the genetic synthesis method is a very useful tool for designing optimum performance RFDSCAs.

Modified Particle Swarm Optimization Applied to Integrated Demand Response and DG Resources Scheduling

The elastic behavior of the demand consumption jointly used with other available resources such as distributed generation (DG) can play a crucial role for the success of smart grids. The intensive use of Distributed Energy Resources (DER) and the technical and contractual constraints result in large-scale non linear optimization problems that require computational intelligence methods to be solved. This paper proposes a Particle Swarm Optimization (PSO) based methodology to support the minimization of the operation costs of a virtual power player that manages the resources in a distribution network and the network itself. Resources include the DER available in the considered time period and the energy that can be bought from external energy suppliers. Network constraints are considered. The proposed approach uses Gaussian mutation of the strategic parameters and contextual self-parameterization of the maximum and minimum particle velocities. The case study considers a real 937 bus distribution network, with 20310 consumers and 548 distributed generators. The obtained solutions are compared with a deterministic approach and with PSO without mutation and Evolutionary PSO, both using self-parameterization.

An efficient method for optimal location and sizing of fixed and switched shunt capacitors in large distribution systems

This paper proposes a computationally efficient methodology for the optimal location and sizing of static and switched shunt capacitors in large distribution systems. The problem is formulated as the maximization of the savings produced by the reduction in energy losses and the avoided costs due to investment deferral in the expansion of the network. The proposed method selects the nodes to be compensated, as well as the optimal capacitor ratings and their operational characteristics, i.e. fixed or switched. After an appropriate linearization, the optimization problem was formulated as a large-scale mixed-integer linear problem, suitable for being solved by means of a widespread commercial package. Results of the proposed optimizing method are compared with another recent methodology reported in the literature using two test cases: a 15-bus and a 33-bus distribution network. For the both cases tested, the proposed methodology delivers better solutions indicated by higher loss savings, which are achieved with lower amounts of capacitive compensation. The proposed method has also been applied for compensating to an actual large distribution network served by AES-Venezuela in the metropolitan area of Caracas. A convergence time of about 4 seconds after 22298 iterations demonstrates the ability of the proposed methodology for efficiently handling large-scale compensation problems.

A vision of cyber-physical internet

When the Internet was born, the purpose was to interconnect computers to share digital data at large-scale. On the other hand, when embedded systems were born, the objective was to control system components under real-time constraints through sensing devices, typically at small to medium scales. With the great evolution of the Information and Communication Technology (ICT), the tendency is to enable ubiquitous and pervasive computing to control everything (physical processes and physical objects) anytime and at a large-scale. This new vision gave recently rise to the paradigm of Cyber-Physical Systems (CPS). In this position paper, we provide a realistic vision to the concept of the Cyber-Physical Internet (CPI), discuss its design requirements and present the limitations of the current networking abstractions to fulfill these requirements. We also debate whether it is more productive to adopt a system integration approach or a radical design approach for building large-scale CPS. Finally, we present a sample of realtime challenges that must be considered in the design of the Cyber-Physical Internet.

Impacto da introdução de baterias num SEE isolado: o caso da ilha da Madeira

Com a crescente integração de energias renováveis variáveis nos sistemas elétricos de energia surgem novos desafios à maneira como se efetua a exploração dos mesmos, devido à dificuldade na previsão produção e na controlabilidade destas energias. Estes desafios são ainda maiores quando se analisa uma rede elétrica isolada de pequenas dimensões sem possibilidade de ser interligada a uma rede continental, por apresentar uma maior fragilidade e dai resultarem critérios de exploração muito mais apertados, de forma a garantir da melhor forma a segurança e estabilidade da rede. Consequentemente existe a necessidade de serem adotadas medidas que atenuem os impactos da variabilidade e tornem mais previsíveis as energias renováveis. É neste âmbito que surgem as tecnologias de armazenamento de energia elétrica. O presente documento apresenta um estudo aprofundado ao sistema eletroprodutor da ilha da Madeira e às suas especificidades, analisando a viabilidade técnica da introdução de baterias em larga escala no sistema. De forma a realizar esta análise, criou-se uma ferramenta de simulação em Matlab, que visou quantificar o impacto da introdução de baterias, quer ao nível da integração de energia eólica, quer ao nível da redução da produção térmica. Esta ferramenta permite ainda uma análise gráfica do diagrama de produção agregado diário, assim como a evolução de potência e energia na bateria.

Otimização Energética na Produção de Biodiesel

Enquadrado num contexto cada vez mais marcado pela necessidade imperiosa de adoção e desenvolvimento de práticas ambientais e energeticamente sustentáveis, este trabalho visa contribuir para a caracterização e otimização do consumo de energia na produção de biodiesel. O biodiesel pode ser encarado como uma boa resposta aos graves problemas que os combustíveis fósseis estão a provocar nas sociedades modernas, pois é uma fonte de energia biodegradável, não-tóxica e sintetizada a partir de várias matérias-primas. Porém, o elevado custo de produção, como consequência do elevado preço das matérias-primas, constitui o maior problema para a sua implementação e comercialização a grande escala. A produção de biodiesel é, em sua quase totalidade, conduzida por via de reação de transesterificação, usando óleo vegetal e álcool como matérias-primas. O objetivo geral deste trabalho é otimizar energeticamente um processo de produção de biodiesel, via catálise homogênea alcalina (BCHA). Para alcançar esse objetivo, um fluxograma típico de produção foi construído e analisado, tanto do ponto de vista energético como econômico. Posteriormente oportunidades de otimização do processo foram identificadas, no sentido de reduzir o consumo de utilidades, impacto ambiental e aumentar a rentabilidade econômica. A construção do processo, a caracterização da alimentação, os critérios de operacionalidade, a obtenção de resultados e demais fatores foram efetuados com auxílio de um software de simulação Aspen Plus versão 20.0 criado pela Aspen Technology products. Os resultados do trabalho revelaram que o processo BCHA produz uma corrente com 99,9 % em biodiesel, obedecendo às normas internacionais em vigor. Na parte energética, o processo BCHA base necessitou de 21.405,1 kW em utilidades quentes e 14.886,3 kW em utilidades frias. A integração energética do processo BCHA, segundo a metodologia pinch, permitiu uma redução das necessidades quentes para 10.752,3 kW (redução de 50 %) e frias para 4.233,5 kW (redução de 72 %). A temperatura no ponto de estrangulamento (PE) foi de 157,7 ºC nas correntes quentes e 147,7 ºC nas correntes frias. Em termos econômicos, o custo total é reduzido em 35% com a integração energética proposta. Essa diminuição, deve-se sobretudo à redução do custo operacional, onde as necessidades de vapor de muita alta pressão (VMAP), vapor de alta pressão (VAP) e água de resfriamento (AR) apresentaram quebras de 2 %, 92 % e 71 %, respectivamente. Como conclusão final, salienta-se que a integração do processo BCHA estudado é energética e economicamente viável.

Automated Synthesis Procedure of RF Discrete Tuning Differential Capacitance Circuits

The paper presents a RFDSCA automated synthesis procedure. This algorithm determines several RFDSCA circuits from the top-level system specifications all with the same maximum performance. The genetic synthesis tool optimizes a fitness function proportional to the RFDSCA quality factor and uses the epsiv-concept and maximin sorting scheme to achieve a set of solutions well distributed along a non-dominated front. To confirm the results of the algorithm, three RFDSCAs were simulated in SpectreRF and one of them was implemented and tested. The design used a 0.25 mum BiCMOS process. All the results (synthesized, simulated and measured) are very close, which indicate that the genetic synthesis method is a very useful tool to design optimum performance RFDSCAs.

Field experiments for marine casualty detection with autonomous surface vehicles

In this paper we present a set of field tests for detection of human in the water with an unmanned surface vehicle using infrared and color cameras. These experiments aimed to contribute in the development of victim target tracking and obstacle avoidance for unmanned surface vehicles operating in marine search and rescue missions. This research is integrated in the work conducted in the European FP7 research project Icarus aiming to develop robotic tools for large scale rescue operations. The tests consisted in the use of the ROAZ unmanned surface vehicle equipped with a precision GPS system for localization and both visible spectrum and IR cameras to detect the target. In the experimental setup, the test human target was deployed in the water wearing a life vest and a diver suit (thus having lower temperature signature in the body except hands and head) and was equipped with a GPS logger. Multiple target approaches were performed in order to test the system with different sun incidence relative angles. The experimental setup, detection method and preliminary results from the field trials performed in the summer of 2013 in Sesimbra, Portugal and in La Spezia, Italy are also presented in this work.

Water jet based autonomous surface vehicle for coastal waters operations

This paper presents the design of low cost, small autonomous surface vehicle for missions in the coastal waters and specifically for the challenging surf zone. The main objective of the vehicle design described in this paper is to address both the capability of operation at sea in relative challenging conditions and maintain a very low set of operational requirements (ease of deployment). This vehicle provides a first step towards being able to perform general purpose missions (such as data gathering or patrolling) and to at least in a relatively short distances to be able to be used in rescue operations (with very low handling requirements) such as carrying support to humans on the water. The USV is based on a commercially available fiber glass hull, it uses a directional waterjet powered by an electrical brushless motor for propulsion, thus without any protruding propeller reducing danger in rescue operations. Its small dimensions (1.5 m length) and weight allow versatility and ease of deployment. The vehicle design is described in this paper both from a hardware and software point of view. A characterization of the vehicle in terms of energy consumption and performance is provided both from test tank and operational scenario tests. An example application in search and rescue is also presented and discussed with the integration of this vehicle in the European ICARUS (7th framework) research project addressing the development and integration of robotic tools for large scale search and rescue operations.

Integration of the project team in the classic maintenance cycle

A manutenção é uma área extremamente importante, principalmente na indústria. Devidamente organizada, permitirá um fluxo produtivo devidamente planeado e executado, que permitirá a qualquer empresa manter o nível de facturação desejado e o prazo de entrega acordado com os clientes. De outra forma, poderá originar o caos. No entanto, os desafios de gestão da produção mais correntes, nomeadamente através do Lean Manufacturing, passam a exigir um pouco mais do que uma simples manutenção. Torna-se obrigatório fazer análises económicas que permitam averiguar quando cada equipamento passa a exigir custos de manutenção excessivos, os quais poderão obrigar a um recondicionamento mais acentuado do equipamento, o qual pode passar inclusivamente por uma melhoria da sua performance. Nestes casos, terá que existir uma “cumplicidade” entre a Direcção de Produção e a Manutenção, no sentido de averiguar o melhor momento para proceder a uma melhoria do equipamento, numa perspectiva de funcionamento global em linha de produção, adaptando-o à performance que será exigida ao conjunto. Neste domínio, o Projecto passa a prestar um serviço valiosíssimo à empresa, integrando-se no conjunto Produção + Manutenção, criando valor na intervenção, através do desenvolvimento de um trabalho que permite não só repor o estado natural da produção, mas sim promover uma melhoria sustentada da mesma. Este trabalho pretende reflectir e avaliar a relevância do Projecto neste tipo de operações, contribuindo de uma forma sistemática e sustentada para a melhoria contínua dos processos de fabrico. É apresentado um caso de estudo que pretende validar todo o desenvolvimento anteriormente realizado na matéria.