Riesz potential versus fractional Laplacian

This paper starts by introducing the Grünwald–Letnikov derivative, the Riesz potential and the problem of generalizing the Laplacian. Based on these ideas, the generalizations of the Laplacian for 1D and 2D cases are studied. It is presented as a fractional version of the Cauchy–Riemann conditions and, finally, it is discussed with the n-dimensional Laplacian.

O lean construction e a gestão de projeto na abertura e remodelação de lojas Sonae MC

Trabalho de Projeto

Desenvolvimento de um modelo de previsão de preços no mercado ibérico de eletricidade

Com este trabalho pretende-se efetuar o levantamento e análise dos fatores que estão na base da volatilidade do preço da energia elétrica no mercado ibérico de energia. Posteriormente à definição dos potenciais métodos utilizados na previsão do preço da energia elétrica, é desenvolvido um modelo capaz de prever os preços do mercado de energia para um horizonte de vários períodos temporais (trimestral, mensal, semanal e diário). Por fim são comparados os resultados dos modelos aplicados, tendo como base a análise qualitativa e quantitativa da evolução das respetivas previsões, bem como a análise estatística obtida em cada um deles.

Stochastic Framework for Strategic Decision-making of Load-serving Entities for Day-ahead Market

The deregulation of electricity markets has diversified the range of financial transaction modes between independent system operator (ISO), generation companies (GENCO) and load-serving entities (LSE) as the main interacting players of a day-ahead market (DAM). LSEs sell electricity to end-users and retail customers. The LSE that owns distributed generation (DG) or energy storage units can supply part of its serving loads when the nodal price of electricity rises. This opportunity stimulates them to have storage or generation facilities at the buses with higher locational marginal prices (LMP). The short-term advantage of this model is reducing the risk of financial losses for LSEs in DAMs and its long-term benefit for the LSEs and the whole system is market power mitigation by virtually increasing the price elasticity of demand. This model also enables the LSEs to manage the financial risks with a stochastic programming framework.

Smart Grid Market Using Joint Energy and Ancillary Services Bids

The power systems operation in the smart grid context increases significantly the complexity of their management. New approaches for ancillary services procurement are essential to ensure the operation of electric power systems with appropriate levels of stability, safety, quality, equity and competitiveness. These approaches should include market mechanisms which allow the participation of small and medium distributed energy resources players in a competitive market environment. In this paper, an energy and ancillary services joint market model used by an aggregator is proposed, considering bids of several types of distributed energy resources. In order to improve economic efficiency in the market, ancillary services cascading market mechanism is also considered in the model. The proposed model is included in MASCEM – a multi-agent system electricity market simulator. A case study considering a distribution network with high penetration of distributed energy resources is presented.

Elspot: Nord Pool Spot Integration in MASCEM Electricity Market Simulator

The energy sector in industrialized countries has been restructured in the last years, with the purpose of decreasing electricity prices through the increase in competition, and facilitating the integration of distributed energy resources. However, the restructuring process increased the complexity in market players' interactions and generated emerging problems and new issues to be addressed. In order to provide players with competitive advantage in the market, decision support tools that facilitate the study and understanding of these markets become extremely useful. In this context arises MASCEM (Multi-Agent Simulator of Competitive Electricity Markets), a multi-agent based simulator that models real electricity markets. To reinforce MASCEM with the capability of recreating the electricity markets reality in the fullest possible extent, it is crucial to make it able to simulate as many market models and player types as possible. This paper presents a new negotiation model implemented in MASCEM based on the negotiation model used in day-ahead market (Elspot) of Nord Pool. This is a key module to study competitive electricity markets, as it presents well defined and distinct characteristics from the already implemented markets, and it is a reference electricity market in Europe (the one with the larger amount of traded power).

Particle Swarm Optimization of Electricity Market Negotiating Players Portfolio

Energy systems worldwide are complex and challenging environments. Multi-agent based simulation platforms are increasing at a high rate, as they show to be a good option to study many issues related to these systems, as well as the involved players at act in this domain. In this scope the authors’ research group has developed a multi-agent system: MASCEM (Multi- Agent System for Competitive Electricity Markets), which performs realistic simulations of the electricity markets. MASCEM is integrated with ALBidS (Adaptive Learning Strategic Bidding System) that works as a decision support system for market players. The ALBidS system allows MASCEM market negotiating players to take the best possible advantages from each market context. However, it is still necessary to adequately optimize the players’ portfolio investment. For this purpose, this paper proposes a market portfolio optimization method, based on particle swarm optimization, which provides the best investment profile for a market player, considering different market opportunities (bilateral negotiation, market sessions, and operation in different markets) and the negotiation context such as the peak and off-peak periods of the day, the type of day (business day, weekend, holiday, etc.) and most important, the renewable based distributed generation forecast. The proposed approach is tested and validated using real electricity markets data from the Iberian operator – MIBEL.

Strategic Bidding in Electricity Markets: An agent-based simulator with game theory for scenario analysis

Electricity markets are complex environments, involving a large number of different entities, with specific characteristics and objectives, making their decisions and interacting in a dynamic scene. Game-theory has been widely used to support decisions in competitive environments; therefore its application in electricity markets can prove to be a high potential tool. This paper proposes a new scenario analysis algorithm, which includes the application of game-theory, to evaluate and preview different scenarios and provide players with the ability to strategically react in order to exhibit the behavior that better fits their objectives. This model includes forecasts of competitor players’ actions, to build models of their behavior, in order to define the most probable expected scenarios. Once the scenarios are defined, game theory is applied to support the choice of the action to be performed. Our use of game theory is intended for supporting one specific agent and not for achieving the equilibrium in the market. MASCEM (Multi-Agent System for Competitive Electricity Markets) is a multi-agent electricity market simulator that models market players and simulates their operation in the market. The scenario analysis algorithm has been tested within MASCEM and our experimental findings with a case study based on real data from the Iberian Electricity Market are presented and discussed.

Smart Grid Communication Technologies in the Brazilian Electrical Sector

Intelligent electrical grids can be considered as the next generation of electrical energy transportation. The enormous potential leads to worldwide focus of research on the technology of smart grids. This paper aims to present a review of the Brazilian electricity sector in context with the integration of communication technologies for smart grids. The work gives an overview of the generation, transmission and distribution of electrical energy in the Brazil and a brief summary of the current electricity market. Smart grid technologies are introduced and the requirements for the Brazilian power system are pointed out. Various technologies for communication within an intelligent network are presented and their characteristics, advantages and disadvantages are compared to the Brazilian conditions. In addition, a summary is given of current pilot projects for Smart Grid technologies within Brazil, as well as a presentation of individual selected projects.

Towards a unified European electricity market: The contribution of data-mining to support realistic simulation studies

Worldwide electricity markets have been evolving into regional and even continental scales. The aim at an efficient use of renewable based generation in places where it exceeds the local needs is one of the main reasons. A reference case of this evolution is the European Electricity Market, where countries are connected, and several regional markets were created, each one grouping several countries, and supporting transactions of huge amounts of electrical energy. The continuous transformations electricity markets have been experiencing over the years create the need to use simulation platforms to support operators, regulators, and involved players for understanding and dealing with this complex environment. This paper focuses on demonstrating the advantage that real electricity markets data has for the creation of realistic simulation scenarios, which allow the study of the impacts and implications that electricity markets transformations will bring to the participant countries. A case study using MASCEM (Multi-Agent System for Competitive Electricity Markets) is presented, with a scenario based on real data, simulating the European Electricity Market environment, and comparing its performance when using several different market mechanisms.

Centro de incubação empresarial como facilitador de empreendedorismo

Dissertação de Mestrado apresentada ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Empreendedorismo e Internacionalização, sob orientação da Professora Doutora Maria Clara Ribeiro

Picocyanobacteria From a Clade Of Marine Cyanobium Revealed Bioactive Potential Against Microalgae, Bacteria, And Marine

The production of bioactive compounds either toxic or with pharmacological applications by cyanobacteria is well established. However, picoplanktonic forms within this group of organisms have rarely been studied in this context. In this study, the toxicological potential of picocyanobacteria from a clade of marine Cyanobium strains isolated from the Portuguese coast was examined using different biological models. First, strains were identified by applying morphological and molecular approaches and cultured under lab conditions. A crude extract and three fractions reflecting a preliminary segregation of lipophilic metabolites were tested for toxicity with the marine microalga Nannochloropsis sp., the bacteria Pseudomonas sp., the brine shrimp Artemia salina, and fertilized eggs of the sea urchin Paracentrotus lividus. No significant apparent adverse effects were noted against Artemia salina. However, significant adverse effects were found in all other assays, with an inhibition of Nannochloropsis sp. and Pseudomonas sp. growth and marked reduction in Paracentrotus lividus larvae length. The results obtained indicated that Cyanobium genus may serve as a potential source of interesting bioactive compounds and emphasize the importance of also studying smaller picoplanktonic fractions of marine cyanobacteria.

Alternativas Processuais e Valorização de Correntes da Refinaria de Matosinhos.

Evolução, ato ou efeito de evoluir, sequência de transformações, desenvolvimento progressivo. Se tudo à nossa volta se transforma, a indústria tem de acompanhar esse sistema evolutivo, tornando assim imprescindível alterar ou melhorar processos de produção quando estes não se enquadram com a realidade, ou porque o mercado se altera, ou porque as necessidades mudam, ou por simplesmente ser mais rentável. Sendo a Galp Energia uma empresa que se encontra sempre na vanguarda da evolução tecnológica, encontra no Departamento de Engenharia Química do Instituto Superior de Engenharia do Porto um aliado na procura do melhor modo de valorizar os seus produtos. A Refinaria de Matosinhos tem atualmente duas correntes de gasolina leve e uma de refinado que apresentam grande potencialidade de valorização. Parte destas correntes incorporam atualmente a pool de nafta química da refinaria que é vendida à Repsol Polímeros. O desafio que é proposto baseia-se em valorizar essas correntes através da sua isomerização aumentando o seu RON podendo então ter como fim a pool de gasolinas. Tirando partido da tecnologia disponível para este efeito são apresentados quatro cenários de possíveis soluções. Sendo os dois primeiros excluídos por violarem restrições impostas, o terceiro e quarto cenários foram analisados de um ponto de vista económico. O terceiro cenário conduz a gasolina leve da Fábrica de Aromáticos para a pool de gasolinas sem qualquer tratamento e a gasolina leve da Fábrica de Combustíveis continua a integrar a pool de nafta química. O refinado da Fábrica de Aromáticos será enviado para um splitter, sendo a corrente de topo destinada à pool de nafta química e a corrente de fundo enviada a um reator de isomerização, Isomalk-4SM, passando previamente por uma torre de argila de forma a assegurar que a restrição em teor de olefinas no reator não é violada. O efluente, com RON maior, integrará igualmente a pool de gasolinas. No quarto cenário a corrente de refinado da Fábrica de Aromáticos não sofre qualquer tratamento, continuando a alimentar a unidade de solventes, a gasolina leve da Fábrica de Aromáticos irá diretamente para a pool de gasolinas e a gasolina leve da Fábrica de Combustíveis passará pelo Isomalk-2SM para aumentar o índice de octanos garantido assim ter condições de integrar a pool de gasolinas. Dissertação de Mestrado em Engenharia Química Isomerização de Gasolina Leve O terceiro cenário apresenta um aumento de 4 576 773 € anuais nas receitas e o quarto alcança 11 333 982 € anuais. O investimento inicial total do terceiro cenário é de 28 821 608 € quando o quarto cenário carece de um investimento inicial de apenas 18 028 349 €. Quanto aos custos associados à implementação da unidade estes demonstram-se elevados, o terceiro cenário apresenta um custo de 23 133 429 € enquanto o do quarto cenário é de 13 998 797 €. O quarto cenário apresenta-se assim como a solução mais rentável para o objetivo desta dissertação.

Prevenção e mitigação do risco de incumprimento mais eficaz na banca de retalho

O âmbito deste trabalho é o da prevenção e mitigação do risco de uma carteira de crédito de um Banco de retalho, com uma quota significativa no mercado Português. A antecipação de potencial incumprimento é crítica para a atuação atempada do Banco junto dos clientes. Pretendeu-se analisar o poder preditivo de uma base de informação exógena (a Central) que inclui as responsabilidades creditícias dos clientes do Banco no Sistema Financeiro Português. As principais fases deste trabalho consistiram na análise e estruturação da informação da Central, de modo a integrá-la com a do Banco, compreensão das condicionantes desta informação, nomeadamente o desfasamento temporal, e finalmente, no desenvolvimento de um modelo de scoring, compatível com os sistemas e tecnologias do Banco, e de modo a alavancar o processo existente.

Análise de Capacidade Processo Inspeção Visual

Este trabalho foi realizado no âmbito do Mestrado em Engenharia Mecânica, especialização em Gestão Industrial, do Instituto Superior de Engenharia do Porto. O estudo foi desenvolvido na Continental Mabor – Indústria de Pneus S.A., sendo analisado o processo de Inspeção Visual dos pneus. Face à atual conjuntura de mercado, as empresas devem estar munidas de dados detalhados e precisos relativos aos seus processos produtivos. A Capacidade instalada apresenta-secomo um parâmetro determinante na medida em que condiciona diretamente a resposta a solicitações de clientes. Esta é fortemente influenciada pelo Layout fabril, pelo que a otimização do mesmo é fundamental numa perspetiva de ganho de Capacidade produtiva. O relatório iniciou-se com a determinação do Tempo Previsto da operação segundo o referencial REFA. Seguidamente quantificaram-se as atuais perturbações através de auditorias ao processo. Deste modo obteve-se uma Capacidade instalada de 59380 pneus/dia. A análise das perturbações desenvolveu-se a partir de um diagrama causa-efeito, no qual foram identificadas diversas potenciais causas, classificadas posteriormente por uma equipa experiente e conhecedora do processo. Assim, conhecidas as perturbações de maior impacto, foi apresentada uma solução de Layout que visou a sua minimização. O ganho estimado, em termos de Capacidade, após a implementação da solução proposta é de 3000 pneus/dia. Este ganho de 5% é significativo na medida em que é obtido sem a necessidade de aquisição de novos equipamentos nem de área fabril adicional. É expectável que esta implementação proporcione ainda melhorias no processo produtivo subsequente - Uniformidade, especificamente na alimentação do mesmo. A quantificação desta melhoria, na sequência deste trabalho, apresenta-se como uma oportunidade de estudo futuro.