A importância dos fluxos de caixa na análise da solvência, liquidez e visibilidade das empresas

Orientada por: Prof. Doutora Cláudia Lopes

Spatio-temporal alignment of pedobarographic image sequences

O documento em anexo encontra-se na versão post-print (versão corrigida pelo editor).

Encapsulamento de monómeros da lenhina pela β-ciclodextrina: estudos químico e de biodegradação

Mestrado em Engenharia Química.Ramo Tecnologias de Protecção Ambiental

Supercondensadores

Uma nova tecnologia, os EDLC, também denominados por supercondensadores, tem-se tornado numa importante e aliciante área de interesse. Estes regem-se pelos mesmos princípios fundamentais dos condensadores clássicos, no entanto possibilitam receber capacidades superiores, devido a uma maior área de superfície e a um dielétrico menos espesso. Esta particularidade permite obter uma maior densidade energética, comparativamente com os condensadores clássicos e uma maior densidade de potência, comparativamente com as baterias. Consequentemente a utilização de supercondensadores tem aumentado, representando já uma alternativa fiável, segura e amiga do ambiente, em detrimento das baterias comuns. Assim, este projeto tem como principais objetivos, identificar os diferentes tipos de supercondensadores, apresentar as vantagens de cada tipo e explorar a sua resposta, quer no domínio das frequências quer no domínio dos tempos, e por fim modelá-los recorrendo a componentes elétricos clássicos, nomeadamente resistências e condensadores. A modelação foi realizada recorrendo ao MALTAB, através da função de minimização fminunc e foram construídos quatro modelos equivalentes, com o objetivo de modelar a resposta dos vários EDLC analisados. Por escassez de tempo o principal foco de análise recaiu sobre o EDLC de 0,022 F.

Hybrid fuzzy Monte Carlo and logic programming model for distribution network reconfiguration in the presence of outages

This paper presents a methodology for distribution networks reconfiguration in outage presence in order to choose the reconfiguration that presents the lower power losses. The methodology is based on statistical failure and repair data of the distribution power system components and uses fuzzy-probabilistic modelling for system component outage parameters. Fuzzy membership functions of system component outage parameters are obtained by statistical records. A hybrid method of fuzzy set and Monte Carlo simulation based on the fuzzy-probabilistic models allows catching both randomness and fuzziness of component outage parameters. Once obtained the system states by Monte Carlo simulation, a logical programming algorithm is applied to get all possible reconfigurations for every system state. In order to evaluate the line flows and bus voltages and to identify if there is any overloading, and/or voltage violation a distribution power flow has been applied to select the feasible reconfiguration with lower power losses. To illustrate the application of the proposed methodology to a practical case, the paper includes a case study that considers a real distribution network.

Fuzzy Monte Carlo mathematical model for load curtailment minimization in transmission power systems

This paper presents a methodology which is based on statistical failure and repair data of the transmission power system components and uses fuzzyprobabilistic modeling for system component outage parameters. Using statistical records allows developing the fuzzy membership functions of system component outage parameters. The proposed hybrid method of fuzzy set and Monte Carlo simulation based on the fuzzy-probabilistic models allows catching both randomness and fuzziness of component outage parameters. A network contingency analysis to identify any overloading or voltage violation in the network is performed once obtained the system states by Monte Carlo simulation. This is followed by a remedial action algorithm, based on optimal power flow, to reschedule generations and alleviate constraint violations and, at the same time, to avoid any load curtailment, if possible, or, otherwise, to minimize the total load curtailment, for the states identified by the contingency analysis. In order to illustrate the application of the proposed methodology to a practical case, the paper will include a case study for the Reliability Test System (RTS) 1996 IEEE 24 BUS.

A mathematical model for supermarket order picking

Order picking consists in retrieving products from storage locations to satisfy independent orders from multiple customers. It is generally recognized as one of the most significant activities in a warehouse (Koster et al, 2007). In fact, order picking accounts up to 50% (Frazelle, 2001) or even 80% (Van den Berg, 1999) of the total warehouse operating costs. The critical issue in today’s business environment is to simultaneously reduce the cost and increase the speed of order picking. In this paper, we address the order picking process in one of the Portuguese largest companies in the grocery business. This problem was proposed at the 92nd European Study Group with Industry (ESGI92). In this setting, each operator steers a trolley on the shop floor in order to select items for multiple customers. The objective is to improve their grocery e-commerce and bring it up to the level of the best international practices. In particular, the company wants to improve the routing tasks in order to decrease distances. For this purpose, a mathematical model for a faster open shop picking was developed. In this paper, we describe the problem, our proposed solution as well as some preliminary results and conclusions.