O Mercado do carbono: novas oportunidades com base no desenvolvimento

Dissertação para a obtenção do Grau de Mestre em Contabilidade e Finanças

Genetic algorithm methodology applied to intelligent house control

In recent years the use of several new resources in power systems, such as distributed generation, demand response and more recently electric vehicles, has significantly increased. Power systems aim at lowering operational costs, requiring an adequate energy resources management. In this context, load consumption management plays an important role, being necessary to use optimization strategies to adjust the consumption to the supply profile. These optimization strategies can be integrated in demand response programs. The control of the energy consumption of an intelligent house has the objective of optimizing the load consumption. This paper presents a genetic algorithm approach to manage the consumption of a residential house making use of a SCADA system developed by the authors. Consumption management is done reducing or curtailing loads to keep the power consumption in, or below, a specified energy consumption limit. This limit is determined according to the consumer strategy and taking into account the renewable based micro generation, energy price, supplier solicitations, and consumers’ preferences. The proposed approach is compared with a mixed integer non-linear approach.

O conceito da qualidade nos produtos à base de Ginkgo biloba comercializados em Portugal

O extracto de Ginkgo biloba é o produto fitoterápico mais vendido na Europa. Em Portugal e muitos países, a maioria dos produtos à base de plantas são comercializados como suplementos alimentares, não estando garantidos, parâmetros de qualidade, segurança e eficácia. Realizouse um estudo, com recolha de informações, tendo por base uma amostra de 50 produtos à base de ginkgo. Da análise, verificou-se que 94% podiam ser encontrados à venda na internet, e desse total, 89% possuíam informação on-line quanto à composição. Apenas 40% referem a utilização do extracto padronizado de ginkgo e muitos recomendam doses superiores às referidas como terapêuticas.

Optimal dispatch with reactive power compensation by Genetic Algorithm

This paper presents a Unit Commitment model with reactive power compensation that has been solved by Genetic Algorithm (GA) optimization techniques. The GA has been developed a computational tools programmed/coded in MATLAB. The main objective is to find the best generations scheduling whose active power losses are minimal and the reactive power to be compensated, subjected to the power system technical constraints. Those are: full AC power flow equations, active and reactive power generation constraints. All constraints that have been represented in the objective function are weighted with a penalty factors. The IEEE 14-bus system has been used as test case to demonstrate the effectiveness of the proposed algorithm. Results and conclusions are dully drawn.

Ancillary services dispatch using linear programming and genetic algorithm approaches

Electricity market players operating in a liberalized environment requires access to an adequate decision support tool, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. For this, decision support tools must include ancillary market simulation. This paper proposes two different methods (Linear Programming and Genetic Algorithm approaches) for ancillary services dispatch. The methodologies are implemented in MASCEM, a multi-agent based electricity market simulator. A test case concerning the dispatch of Regulation Down, Regulation Up, Spinning Reserve and Non-Spinning Reserve services is included in this paper.

Geotecnia urbana da zona ribeirinha de Vila Nova de Gaia: criação de uma base de dados SIG geotécnica

O presente trabalho apresenta os resultados dos estudos geotécnicos e de uma base de dados da zona ribeirinha de Vila Nova de Gaia, com o objectivo de compreender melhor os aspectos geotécnicos em ambiente urbano numa área sensível com um registo histórico de instabilidade de taludes rochosos. Além disso, os escassos estudos científicos recentes de natureza geológica e geotécnica em Vila Nova de Gaia justificam o estudo exploratório da geotecnia urbana da zona ribeirinha de Vila Nova de Gaia. A importância de Vila Nova de Gaia como a terceira maior cidade portuguesa e como centro de intensa actividade económica e cultural despoleta uma constante necessidade de expansão. O aumento da densidade populacional acarreta a realização de projectos complexos de engenharia, utilizando o subsolo para a construção e, com frequência, em terrenos com características geotécnicas desfavoráveis. As cidades de Vila Nova de Gaia e do Porto foram sendo edificadas ao longo de encostas numa plataforma litoral caracterizada por uma vasta área aplanada, inclinando ligeiramente para Oeste. Esta plataforma foi cortada pelo Rio Douro num vale encaixado de vertentes abruptas, nas quais se localizam as zonas ribeirinhas das duas cidades. Este trabalho envolveu, inicialmente, uma caracterização topográfica, morfoestrutural, geotectónica e geomecânica da área de estudo e, numa fase posterior, o desenvolvimento duma base de dados geotécnica. Todos os dados geológicos e geotécnicos locais e os estudos geotécnicos levados a cabo in situ pelas diversas empresas e instituições foram representados cartograficamente numa base apoiada pelos Sistemas de Informação Geográfica (SIG). Esta metodologia inter‐disciplinar foi de grande valor para um melhor conhecimento dos riscos geológico‐geotécnicos ao longo das margens do Rio Douro. De facto, a cartografia geotécnica da zona ribeirinha de Vila Nova de Gaia deve constituir uma ferramenta importante para uma previsão mais rigorosa de futuras instabilidades de taludes e um bom instrumento para a gestão do espaço urbano.

Indexação e pesquisa de informação com base em ontologias interligadas

Tecnologias da Web Semântica como RDF, OWL e SPARQL sofreram nos últimos anos um forte crescimento e aceitação. Projectos como a DBPedia e Open Street Map começam a evidenciar o verdadeiro potencial da Linked Open Data. No entanto os motores de pesquisa semânticos ainda estão atrasados neste crescendo de tecnologias semânticas. As soluções disponíveis baseiam-se mais em recursos de processamento de linguagem natural. Ferramentas poderosas da Web Semântica como ontologias, motores de inferência e linguagens de pesquisa semântica não são ainda comuns. Adicionalmente a esta realidade, existem certas dificuldades na implementação de um Motor de Pesquisa Semântico. Conforme demonstrado nesta dissertação, é necessária uma arquitectura federada de forma a aproveitar todo o potencial da Linked Open Data. No entanto um sistema federado nesse ambiente apresenta problemas de performance que devem ser resolvidos através de cooperação entre fontes de dados. O standard actual de linguagem de pesquisa na Web Semântica, o SPARQL, não oferece um mecanismo para cooperação entre fontes de dados. Esta dissertação propõe uma arquitectura federada que contém mecanismos que permitem cooperação entre fontes de dados. Aborda o problema da performance propondo um índice gerido de forma centralizada assim como mapeamentos entre os modelos de dados de cada fonte de dados. A arquitectura proposta é modular, permitindo um crescimento de repositórios e funcionalidades simples e de forma descentralizada, à semelhança da Linked Open Data e da própria World Wide Web. Esta arquitectura trabalha com pesquisas por termos em linguagem natural e também com inquéritos formais em linguagem SPARQL. No entanto os repositórios considerados contêm apenas dados em formato RDF. Esta dissertação baseia-se em múltiplas ontologias partilhadas e interligadas.

Electroanalytical determination of oxadiazon and characterization of its base-catalyzed ring-opening products

The electrochemical behavior of the hydrolysis products of oxadiazon was studied by cyclic and square-wave voltammetry using a glassy carbon electrode. Maximum currents were obtained at pH 12.8 in an aqueous electrolyte solution containing 30% ethanol and the current did not decrease with time showing that there was little adsorption of the reaction products on the electrode surface. The hydrolysis products of oxadiazon were identi®ed, after isolation and puri®cation, as 1-trimethylacetyl-2-(2,4-dichloro-5-isopropoxyphenyl)-2-ethoxycarbonylhydrazine (Oxa1) and 1-trimethylacetyl-2-(2,4-dichloro-5-isopropoxyphenyl) hydrazine (Oxa2) with redox potentials 0.6Vand 70.1V (vs. Ag=AgCl), respectively. Based on the electrochemical behavior of 1-trimethylacetyl-2-(2,4-dichloro-5-isopropoxyphenyl) hydrazine (Oxa2) a simple electroanalytical procedure was developed for the determination of oxadiazon in commercial products used in the treatment of rice crops in Portugal that contain oxadiazon as the active ingredient. The detection limit was 161074 M, the mean content and relative standard deviation obtained for seven samples of two different commercial products by the electrochemical method were 28.4 0.8% (Ronstar) and 1.9 0.2% (Ronstar GR), and the recoveries were 100.3 5.4% and 101.1 5.3 %, respectively.

Common genetic polymorphisms in the ABCB1 gene are associated with risk of major depressive disorder in male Portuguese individuals

Major depressive disorder (MDD) is a highly prevalent disorder, which has been associated with an abnormal response of the hypothalamus–pituitary–adrenal (HPA) axis. Reports have argued that an abnormal HPA axis response can be due to an altered P-Glycoprotein (P-GP) function. This argument suggests that genetic polymorphisms in ABCB1 may have an effect on the HPA axis activity; however, it is still not clear if this influences the risk of MDD. Our study aims to evaluate the effect of ABCB1 C1236T, G2677TA and C3435T genetic polymorphisms on MDD risk in a subset of Portuguese patients. DNA samples from 80 MDD patients and 160 control subjects were genotyped using TaqMan SNP Genotyping assays. A significant protection for MDD males carrying the T allele was observed (C1236T: odds ratio (OR) = 0.360, 95% confidence interval [CI]: [0.140– 0.950], p = 0.022; C3435T: OR= 0.306, 95% CI: [0.096–0.980], p = 0.042; and G2677TA: OR= 0.300, 95% CI: [0.100– 0.870], p = 0.013). Male Portuguese individuals carrying the 1236T/2677T/3435T haplotype had nearly 70% less risk of developing MDD (OR = 0.313, 95% CI: [0.118–0.832], p = 0.016, FDR p = 0.032). No significant differences were observed regarding the overall subjects. Our results suggest that genetic variability of the ABCB1 is associated with MDD development in male Portuguese patients. To the best of our knowledge, this is the first report in Caucasian samples to analyze the effect of these ABCB1 genetic polymorphisms on MDD risk.

Fractional dynamics of genetic algorithms using hexagonal space tessellation

The paper formulates a genetic algorithm that evolves two types of objects in a plane. The fitness function promotes a relationship between the objects that is optimal when some kind of interface between them occurs. Furthermore, the algorithm adopts an hexagonal tessellation of the two-dimensional space for promoting an efficient method of the neighbour modelling. The genetic algorithm produces special patterns with resemblances to those revealed in percolation phenomena or in the symbiosis found in lichens. Besides the analysis of the spacial layout, a modelling of the time evolution is performed by adopting a distance measure and the modelling in the Fourier domain in the perspective of fractional calculus. The results reveal a consistent, and easy to interpret, set of model parameters for distinct operating conditions.

Film thickness in a ball-on-disc contact lubricated with greases, bleed oils and base oils

Three different lubricating greases and their bleed and base oils were compared in terms of film thickness in a ball-on-disc test rig through optical interferometry. The theoretical values calculated according to Hamrock's equation are in close agreement with the base oil film thickness measurements, which validates the selected experimental methodology. The grease and bleed oil film thickness under fully flooded lubrication conditions presented quite similar behaviour and levels. Therefore, the grease film thickness under full film conditions might be predicted using their bleed oil properties, namely the viscosity and pressure-viscosity coefficient. The base and bleed oil lubricant parameter LP are proportional to the measured film thickness. A relationship between grease and the corresponding bleed oil film thickness was evidenced.

A hybrid genetic algorithm for the multi-mode resource-constrained project scheduling

A construction project is a group of discernible tasks or activities that are conduct-ed in a coordinated effort to accomplish one or more objectives. Construction projects re-quire varying levels of cost, time and other resources. To plan and schedule a construction project, activities must be defined sufficiently. The level of detail determines the number of activities contained within the project plan and schedule. So, finding feasible schedules which efficiently use scarce resources is a challenging task within project management. In this context, the well-known Resource Constrained Project Scheduling Problem (RCPSP) has been studied during the last decades. In the RCPSP the activities of a project have to be scheduled such that the makespan of the project is minimized. So, the technological precedence constraints have to be observed as well as limitations of the renewable resources required to accomplish the activities. Once started, an activity may not be interrupted. This problem has been extended to a more realistic model, the multi-mode resource con-strained project scheduling problem (MRCPSP), where each activity can be performed in one out of several modes. Each mode of an activity represents an alternative way of combining different levels of resource requirements with a related duration. Each renewable resource has a limited availability for the entire project such as manpower and machines. This paper presents a hybrid genetic algorithm for the multi-mode resource-constrained pro-ject scheduling problem, in which multiple execution modes are available for each of the ac-tivities of the project. The objective function is the minimization of the construction project completion time. To solve the problem, is applied a two-level genetic algorithm, which makes use of two separate levels and extend the parameterized schedule generation scheme. It is evaluated the quality of the schedules and presents detailed comparative computational re-sults for the MRCPSP, which reveal that this approach is a competitive algorithm.

A genetic algorithm for the resource constrained multi-project scheduling problem

This paper presents a genetic algorithm for the resource constrained multi-project scheduling problem. The chromosome representation of the problem is based on random keys. The schedules are constructed using a heuristic that builds parameterized active schedules based on priorities, delay times, and release dates defined by the genetic algorithm. The approach is tested on a set of randomly generated problems. The computational results validate the effectiveness of the proposed algorithm.

A genetic algorithm for project scheduling with multi-modes and renewable resources

This paper presents a genetic algorithm-based approach for project scheduling with multi-modes and renewable resources. In this problem activities of the project may be executed in more than one operating mode and renewable resource constraints are imposed. The objective function is the minimization of the project completion time. The idea of this approach is integrating a genetic algorithm with a schedule generation scheme. This study also proposes applying a local search procedure trying to yield a better solution when the genetic algorithm and the schedule generation scheme obtain a solution. The experimental results show that this algorithm is an effective method for solving this problem.

Application of genetic algorithms in the design of an electrical potential of fractional order

Fractional calculus (FC) is currently being applied in many areas of science and technology. In fact, this mathematical concept helps the researches to have a deeper insight about several phenomena that integer order models overlook. Genetic algorithms (GA) are an important tool to solve optimization problems that occur in engineering. This methodology applies the concepts that describe biological evolution to obtain optimal solution in many different applications. In this line of thought, in this work we use the FC and the GA concepts to implement the electrical fractional order potential. The performance of the GA scheme, and the convergence of the resulting approximation, are analyzed. The results are analyzed for different number of charges and several fractional orders.