Self-optimization aspects for dynamic scheduling

Scheduling is a critical function that is present throughout many industries and applications. A great need exists for developing scheduling approaches that can be applied to a number of different scheduling problems with significant impact on performance of business organizations. A challenge is emerging in the design of scheduling support systems for manufacturing environments where dynamic adaptation and optimization become increasingly important. At this scenario, self-optimizing arise as the ability of the agent to monitor its state and performance and proactively tune itself to respond to environmental stimuli.

Commercial agents portfolio optimization in electricity markets

As it is well known, competitive electricity markets require new computing tools for power companies that operate in retail markets in order to enhance the management of its energy resources. During the last years there has been an increase of the renewable penetration into the micro-generation which begins to co-exist with the other existing power generation, giving rise to a new type of consumers. This paper develops a methodology to be applied to the management of the all the aggregators. The aggregator establishes bilateral contracts with its clients where the energy purchased and selling conditions are negotiated not only in terms of prices but also for other conditions that allow more flexibility in the way generation and consumption is addressed. The aggregator agent needs a tool to support the decision making in order to compose and select its customers' portfolio in an optimal way, for a given level of profitability and risk.

Derivative-free optimization and filter methods to solve nonlinear constrained problems

In real optimization problems, usually the analytical expression of the objective function is not known, nor its derivatives, or they are complex. In these cases it becomes essential to use optimization methods where the calculation of the derivatives, or the verification of their existence, is not necessary: the Direct Search Methods or Derivative-free Methods are one solution. When the problem has constraints, penalty functions are often used. Unfortunately the choice of the penalty parameters is, frequently, very difficult, because most strategies for choosing it are heuristics strategies. As an alternative to penalty function appeared the filter methods. A filter algorithm introduces a function that aggregates the constrained violations and constructs a biobjective problem. In this problem the step is accepted if it either reduces the objective function or the constrained violation. This implies that the filter methods are less parameter dependent than a penalty function. In this work, we present a new direct search method, based on simplex methods, for general constrained optimization that combines the features of the simplex method and filter methods. This method does not compute or approximate any derivatives, penalty constants or Lagrange multipliers. The basic idea of simplex filter algorithm is to construct an initial simplex and use the simplex to drive the search. We illustrate the behavior of our algorithm through some examples. The proposed methods were implemented in Java.

Derivative-free nonlinear optimization filter simplex

The filter method is a technique for solving nonlinear programming problems. The filter algorithm has two phases in each iteration. The first one reduces a measure of infeasibility, while in the second the objective function value is reduced. In real optimization problems, usually the objective function is not differentiable or its derivatives are unknown. In these cases it becomes essential to use optimization methods where the calculation of the derivatives or the verification of their existence is not necessary: direct search methods or derivative-free methods are examples of such techniques. In this work we present a new direct search method, based on simplex methods, for general constrained optimization that combines the features of simplex and filter methods. This method neither computes nor approximates derivatives, penalty constants or Lagrange multipliers.

Numerical optimization experiments using the hyperbolic smoothing strategy to solve MPCC

In this work we solve Mathematical Programs with Complementarity Constraints using the hyperbolic smoothing strategy. Under this approach, the complementarity condition is relaxed through the use of the hyperbolic smoothing function, involving a positive parameter that can be decreased to zero. An iterative algorithm is implemented in MATLAB language and a set of AMPL problems from MacMPEC database were tested.

Sensing Cloud Optimization to Solve ED of Units with Valve-Point Effects and Multi-fuels

In this paper a solution to an highly constrained and non-convex economical dispatch (ED) problem with a meta-heuristic technique named Sensing Cloud Optimization (SCO) is presented. The proposed meta-heuristic is based on a cloud of particles whose central point represents the objective function value and the remaining particles act as sensors "to fill" the search space and "guide" the central particle so it moves into the best direction. To demonstrate its performance, a case study with multi-fuel units and valve- point effects is presented.

Optimization, high availability and redundancy in information communications and technology using networks and systems virtualization architectures

Mestrado em Engenharia Informática

The development and optimization of a modified single-drop microextraction method for organochlorine pesticides determination by gas chromatography-tandem mass spectrometry

We have developed a new method for single-drop microextraction (SDME) for the preconcentration of organochlorine pesticides (OCP) from complex matrices. It is based on the use of a silicone ring at the tip of the syringe. A 5 μL drop of n-hexane is applied to an aqueous extract containing the OCP and found to be adequate to preconcentrate the OCPs prior to analysis by GC in combination with tandem mass spectrometry. Fourteen OCP were determined using this technique in combination with programmable temperature vaporization. It is shown to have many advantages over traditional split/splitless injection. The effects of kind of organic solvent, exposure time, agitation and organic drop volume were optimized. Relative recoveries range from 59 to 117 %, with repeatabilities of <15 % (coefficient of variation) were achieved. The limits of detection range from 0.002 to 0.150 μg kg−1. The method was applied to the preconcentration of OCPs in fresh strawberry, strawberry jam, and soil.

Optimization of QuEChERS method for the analysis of organochlorine pesticides in soils with diverse organic matter

A QuEChERS method has been developed for the determination of 14 organochlorine pesticides in 14 soils from different Portuguese regions with wide range composition. The extracts were analysed by GC-ECD (where GC-ECD is gas chromatography-electron-capture detector) and confirmed by GC-MS/MS (where MS/MS is tandem mass spectrometry). The organic matter content is a key factor in the process efficiency. An optimization was carried out according to soils organic carbon level, divided in two groups: HS (organic carbon>2.3%) and LS (organic carbon<2.3%). Themethod was validated through linearity, recovery, precision and accuracy studies. The quantification was carried out using a matrixmatched calibration to minimize the existence of the matrix effect. Acceptable recoveries were obtained (70–120%) with a relative standard deviation of ≤16% for the three levels of contamination. The ranges of the limits of detection and of the limits of quantification in soils HS were from 3.42 to 23.77 μg kg−1 and from 11.41 to 79.23 μg kg−1, respectively. For LS soils, the limits of detection ranged from 6.11 to 14.78 μg kg−1 and the limits of quantification from 20.37 to 49.27 μg kg−1. In the 14 collected soil samples only one showed a residue of dieldrin (45.36 μg kg−1) above the limit of quantification. This methodology combines the advantages of QuEChERS, GC-ECD detection and GC-MS/MS confirmation producing a very rapid, sensitive and reliable procedure which can be applied in routine analytical laboratories.

Optimization and validation of organochlorine compounds in adipose tissue by SPE-gas chromatography

Scientific evidence has shown an association between organochlorine compounds (OCC) exposure and human health hazards. Concerning this, OCC detection in human adipose samples has to be considered a public health priority. This study evaluated the efficacy of various solid-phase extraction (SPE) and cleanup methods for OCC determination in human adipose tissue. Octadecylsilyl endcapped (C18-E), benzenesulfonic acid modified silica cation exchanger (SA), poly (styrene-divinylbenzene (EN) and EN/RP18 SPE sorbents were evaluated. The relative sample cleanup provided by these SPE columns was evaluated using gas chromatography with electron capture detection (GC–ECD). The C18-E columns with strong homogenization were found to provide the most effective cleanup, removing the greatest amount of interfering substance, and simultaneously ensuring good analyte recoveries higher than 70%. Recoveries>70% with standard deviations (SD)<15% were obtained for all compounds under the selected conditions. Method detection limits were in the 0.003–0.009 mg/kg range. The positive samples were confirmed by gas chromatography coupled with tandem mass spectrometry (GC-MS/MS). The highest percentage found of the OCC in real samples corresponded to HCB, o,p′-DDT and methoxychlor, which were detected in 80 and 95% of samples analyzed respectively. Copyright © 2012 John Wiley & Sons, Ltd.

Mass spectrometry parameters optimization for the 46 multiclass pesticides determination in strawberries with gas chromatography ion-trap tandem mass spectrometry

Multiclass analysis method was optimized in order to analyze pesticides traces by gas chromatography with ion-trap and tandem mass spectrometry (GC-MS/MS). The influence of some analytical parameters on pesticide signal response was explored. Five ion trap mass spectrometry (IT-MS) operating parameters, including isolation time (IT), excitation voltage (EV), excitation time (ET),maximum excitation energy or “q” value (q), and isolationmass window (IMW) were numerically tested in order to maximize the instrument analytical signal response. For this, multiple linear regression was used in data analysis to evaluate the influence of the five parameters on the analytical response in the ion trap mass spectrometer and to predict its response. The assessment of the five parameters based on the regression equations substantially increased the sensitivity of IT-MS/MS in the MS/MS mode. The results obtained show that for most of the pesticides, these parameters have a strong influence on both signal response and detection limit.Using the optimized method, a multiclass pesticide analysis was performed for 46 pesticides in a strawberry matrix. Levels higher than the limit established for strawberries by the European Union were found in some samples.

Produção de bioetanol a partir de um resíduo orgânico proveniente da central de compostagem da LIPOR

Mestrado em Engenharia Química

Diagnóstico ambiental de uma queijaria e proposta de melhorias

O presente trabalho tem como objectivo o diagnóstico ambiental da empresa Lacticinios do Paiva, S.A, a avaliação da água do processo e da ETARI e o estudo da fermentação do soro de queijo com o intuito de produção de bioetanol. No diagnóstico ambiental da empresa, observou-se que 18.227.731 litros de leite usados anualmente geram 5.031 ton/ano de queijo, 7.204 ton/ano de soro de queijo, 74.201 m3/ano de efluente liquido, 14 ton/ano de plástico e 20 ton/ano de cartão. Os principais problemas com necessidade de optimização são a recuperação de água das lavagens, avaliação da produção de biogás no digestor anaeróbio, recuperação do volume de leite que é desperdiçado na produção de queijo fresco de longa duração, avaliação da eficiência energética da empresa, valorização das natas e do soro de queijo. Decidiu-se neste trabalho avaliar a possibilidade de reciclagem das águas de lavagem, avaliar o funcionamento da ETARI face à legislação existente e estudar a possibilidade de valorização do soro de queijo. Na avaliação das águas de processo das lavagens para posterior reciclagem, verifica-se que relativamente ao pH e aos sólidos suspensos não existe problema, podendo encarar-se a hipótese de reciclagem directa. No entanto, no que respeita à carga orgânica das águas de lavagem do sistema de ultrafiltração do queijo fresco de longa duração, constata-se que esta não poderia ser utilizada novamente, uma vez que apresenta valores elevados de CQO. Para a sua reutilização, será necessário remover a CQO, hipótese que se estudou com resultados positivos. Verificou-se que, um tratamento por adsorção em carvão activado precedido de microfiltração, reduz a CQO de forma significativa permitindo admitir a hipótese de reciclagem da água, nomeadamente para as 1ª e 3ª águas de lavagem. As outras águas teriam necessidade de mais tempo de contacto com o carvão activado. No sentido de avaliar o funcionamento da ETARI, foram analisadas várias correntes da mesma, em particular a do efluente final, no que respeita a parâmetros como: pH, Sólidos Suspensos Totais, Carência Química de Oxigénio, Carência Bioquímica de Oxigénio, Turvação, Nitratos, Fósforo Total, Azoto Kjeldalh, Azoto Amoniacal e Cloretos. Observou-se que os valores para o efluente final da ETARI são os seguintes: pH compreendido entre [7,21 – 8,69], SST entre [65,3 – 3110] mg/L, CQO entre [92,5 – 711,5] mg/L, CBO5 entre [58 – 161] mg/L, NO3- entre [10,8 – 106,7] mg/L, fósforo total entre [8,3 – 64,3] mg/L, turvação entre [67,7 – 733,3] FTU e cloretos entre [459,9 – 619,81] mg/L; pode-se dizer que os parâmetros analisados se encontram quase sempre dentro da gama de valores impostos pela Câmara Municipal de Lamego pelo que o efluente pode ser lançado no Colector Municipal de Cambres. Relativamente à fermentação alcoólica do soro de queijo, verifica-se que a levedura Kluyveromyces Marxianus consegue degradar praticamente todo o açúcar presente no permeado produzindo assim uma quantidade razoável de etanol. Quando se utilizou a levedura Saccharomyces Cerevisiae, a produção de etanol foi muito reduzida, como esperado, dado que esta levedura apresenta dificuldades na metabolização da lactose. Constatou-se assim que a melhor levedura para a fermentação do permeado do soro de queijo é a Kluyveromyces Marxianus, estimando-se em 150 mg a produção de etanol por L de soro.

Logistic optimization in tourism networks

55th European Regional Science Association Congress, Lisbon, Portugal (25-28 August 2015).

Otimização de estruturas de destilação azeotrópica com recurso a planeamento experimental

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Química e Biológica