Optimizing the embedded heaters position in the pultrusion process using finite element analysis

This study is based on a previous experimental work in which embedded cylindrical heaters were applied to a pultrusion machine die, and resultant energetic performance compared with that achieved with the former heating system based on planar resistances. The previous work allowed to conclude that the use of embedded resistances enhances significantly the energetic performance of pultrusion process, leading to 57% decrease of energy consumption. However, the aforementioned study was developed with basis on an existing pultrusion die, which only allowed a single relative position for the heaters. In the present work, new relative positions for the heaters were investigated in order to optimize heat distribution process and energy consumption. Finite Elements Analysis was applied as an efficient tool to identify the best relative position of the heaters into the die, taking into account the usual parameters involved in the process and the control system already tested in the previous study. The analysis was firstly developed with basis on eight cylindrical heaters located in four different location plans. In a second phase, in order to refine the results, a new approach was adopted using sixteen heaters with the same total power. Final results allow to conclude that the correct positioning of the heaters can contribute to about 10% of energy consumption reduction, decreasing the production costs and leading to a better eco-efficiency of pultrusion process.

Management Driven Hybrid Multicast Framework for Content Aware Networks

The need for better adaptation of networks to transported flows has led to research on new approaches such as content aware networks and network aware applications. In parallel, recent developments of multimedia and content oriented services and applications such as IPTV, video streaming, video on demand, and Internet TV reinforced interest in multicast technologies. IP multicast has not been widely deployed due to interdomain and QoS support problems; therefore, alternative solutions have been investigated. This article proposes a management driven hybrid multicast solution that is multi-domain and media oriented, and combines overlay multicast, IP multicast, and P2P. The architecture is developed in a content aware network and network aware application environment, based on light network virtualization. The multicast trees can be seen as parallel virtual content aware networks, spanning a single or multiple IP domains, customized to the type of content to be transported while fulfilling the quality of service requirements of the service provider.

A Hybrid Simulated Annealing approach to handle Energy Resource Management considering an intensive use of Electric Vehicles

The massification of electric vehicles (EVs) can have a significant impact on the power system, requiring a new approach for the energy resource management. The energy resource management has the objective to obtain the optimal scheduling of the available resources considering distributed generators, storage units, demand response and EVs. The large number of resources causes more complexity in the energy resource management, taking several hours to reach the optimal solution which requires a quick solution for the next day. Therefore, it is necessary to use adequate optimization techniques to determine the best solution in a reasonable amount of time. This paper presents a hybrid artificial intelligence technique to solve a complex energy resource management problem with a large number of resources, including EVs, connected to the electric network. The hybrid approach combines simulated annealing (SA) and ant colony optimization (ACO) techniques. The case study concerns different EVs penetration levels. Comparisons with a previous SA approach and a deterministic technique are also presented. For 2000 EVs scenario, the proposed hybrid approach found a solution better than the previous SA version, resulting in a cost reduction of 1.94%. For this scenario, the proposed approach is approximately 94 times faster than the deterministic approach.

Sensitive bi-enzymatic biosensor based on polyphenoloxidases–gold nanoparticles–chitosan hybrid film–graphene doped carbon paste electrode for carbamates detection

A bi-enzymatic biosensor (LACC–TYR–AuNPs–CS/GPE) for carbamates was prepared in a single step by electrodeposition of a hybrid film onto a graphene doped carbon paste electrode (GPE). Graphene and the gold nanoparticles (AuNPs) were morphologically characterized by transmission electron microscopy, X-ray photoelectron spectroscopy, dynamic light scattering and laser Doppler velocimetry. The electrodeposited hybrid film was composed of laccase (LACC), tyrosinase (TYR) and AuNPs entrapped in a chitosan (CS) polymeric matrix. Experimental parameters, namely graphene redox state, AuNPs:CS ratio, enzymes concentration, pH and inhibition time were evaluated. LACC–TYR–AuNPs–CS/GPE exhibited an improved Michaelis–Menten kinetic constant (26.9 ± 0.5 M) when compared with LACC–AuNPs–CS/GPE (37.8 ± 0.2 M) and TYR–AuNPs–CS/GPE (52.3 ± 0.4 M). Using 4-aminophenol as substrate at pH 5.5, the device presented wide linear ranges, low detection limits (1.68×10− 9 ± 1.18×10− 10 – 2.15×10− 7 ± 3.41×10− 9 M), high accuracy, sensitivity (1.13×106 ± 8.11×104 – 2.19×108 ± 2.51×107 %inhibition M− 1), repeatability (1.2–5.8% RSD), reproducibility (3.2–6.5% RSD) and stability (ca. twenty days) to determine carbaryl, formetanate hydrochloride, propoxur and ziram in citrus fruits based on their inhibitory capacity on the polyphenoloxidases activity. Recoveries at two fortified levels ranged from 93.8 ± 0.3% (lemon) to 97.8 ± 0.3% (orange). Glucose, citric acid and ascorbic acid do not interfere significantly in the electroanalysis. The proposed electroanalytical procedure can be a promising tool for food safety control.

Is there space for senior civil servants hybrid management models across political- administrative systems?

Comunicação apresentada na 17.ª conferência anual da NISPACee, realizada de 14 a 16 de Maio de 2009.

How are top officials hybrid management models present across political-administrative systems?

Comunicação apresentada na 4th Annual ICPA - International Conference on Public Administration "Building bridges to the future: leadership and collaboration in public administration", na Universidade de Minnesota nos Estados Unidos, de 24 a 26 de setembro de 2008

A hybrid procedure to identify the optimal stiffness coefficients of elastically restrained beams

The formulation of a bending vibration problem of an elastically restrained Bernoulli-Euler beam carrying a finite number of concentrated elements along its length is presented. In this study, the authors exploit the application of the differential evolution optimization technique to identify the torsional stiffness properties of the elastic supports of a Bernoulli-Euler beam. This hybrid strategy allows the determination of the natural frequencies and mode shapes of continuous beams, taking into account the effect of attached concentrated masses and rotational inertias, followed by a reconciliation step between the theoretical model results and the experimental ones. The proposed optimal identification of the elastic support parameters is computationally demanding if the exact eigenproblem solving is considered. Hence, the use of a Gaussian process regression as a meta-model is addressed. An experimental application is used in order to assess the accuracy of the estimated parameters throughout the comparison of the experimentally obtained natural frequency, from impact tests, and the correspondent computed eigenfrequency.

Decision support tool for Virtual Power Players: Hybrid Particle Swarm Optimization applied to Day-ahead Vehicle-To-Grid Scheduling

This paper presents a decision support tool methodology to help virtual power players (VPPs) in the Smart Grid (SGs) context to solve the day-ahead energy resource scheduling considering the intensive use of Distributed Generation (DG) and Vehicle-To-Grid (V2G). The main focus is the application of a new hybrid method combing a particle swarm approach and a deterministic technique based on mixedinteger linear programming (MILP) to solve the day-ahead scheduling minimizing total operation costs from the aggregator point of view. A realistic mathematical formulation, considering the electric network constraints and V2G charging and discharging efficiencies is presented. Full AC power flow calculation is included in the hybrid method to allow taking into account the network constraints. A case study with a 33-bus distribution network and 1800 V2G resources is used to illustrate the performance of the proposed method.

Distributed Energy Resources Management using Plug-in Hybrid Electric Vehicles as a Fuel-Shifting Demand Response Resource

In the smart grids context, distributed energy resources management plays an important role in the power systems’ operation. Battery electric vehicles and plug-in hybrid electric vehicles should be important resources in the future distribution networks operation. Therefore, it is important to develop adequate methodologies to schedule the electric vehicles’ charge and discharge processes, avoiding network congestions and providing ancillary services. This paper proposes the participation of plug-in hybrid electric vehicles in fuel shifting demand response programs. Two services are proposed, namely the fuel shifting and the fuel discharging. The fuel shifting program consists in replacing the electric energy by fossil fuels in plug-in hybrid electric vehicles daily trips, and the fuel discharge program consists in use of their internal combustion engine to generate electricity injecting into the network. These programs are included in an energy resources management algorithm which integrates the management of other resources. The paper presents a case study considering a 37-bus distribution network with 25 distributed generators, 1908 consumers, and 2430 plug-in vehicles. Two scenarios are tested, namely a scenario with high photovoltaic generation, and a scenario without photovoltaic generation. A sensitivity analyses is performed in order to evaluate when each energy resource is required.

UMA ABORDAGEM YEAST TWO-HYBRID PARA O ESTUDO DA REPLICAÇÃO E PATOGÉNESE DO VÍRUS DA HEPATITE DELTA

O vírus da hepatite delta (HDV) é o agente etiológico de uma das formas mais graves de hepatite viral e é ainda endémico em diversas regiões do globo, nomeadamente em África, na Amazónia e no Extremo Oriente. O HDV co-infecta ou super-infecta hepatócitos infectados com o vírus da hepatite B (HBV) aumentando em cerca de 10 vezes o risco de cirrose e hepatite fulminante. A associação clínica entre os dois vírus deve-se ao facto do invólucro do HDV ser constituído pelos antigénios de superfície do HBV (HBsAgs) que são necessários para a propagação da infecção. O genoma do HDV é constituído por uma molécula de RNA de cadeia simples, circular, com cerca de 1.7 Kb, que possui cerca de 70% de emparelhamento interno. Foi identificada uma única grelha de leitura aberta (ORF) no RNA viral que codifica para o antigénio delta (HDAg). A ocorrência de um mecanismo de editing do RNA, resulta na expressão de duas formas do HDAg, a pequena (S-HDAg) e a grande (L-HDAg). Várias funções essenciais para a replicação do HDV têm sido atribuídas a ambas as formas do HDAg, sendo a S-HDAg essencial para a acumulação de RNA viral e a L-HDAg responsável pela interacção com os HBsAgs para formar partículas virais. No entanto, dada a simplicidade dos seus componentes, admite-se que a replicação viral depende das interacções estabelecidas entre os HDAgs e factores celulares do hospedeiro. Apesar do número considerável de factores celulares descritos como interactores dos HDAgs ou RNA virais, a importância de muitas destas interacções não foi elucidada e muitas etapas do ciclo de replicação do HDV permanecem pouco claras. Para além disso, dado o número limitado de factores do hospedeiro que estão envolvidos na sua replicação, é muito provável que um número elevado de interactores do HDV permaneça por identificar. Este trabalho teve como objectivo a identificação de proteínas de fígado humano capazes de interagir com os HDAgs, utilizando o sistema yeast Two-Hybrid (YTH). Identificaram-se trinta proteínas com capacidade de interagir com a S-HDAg no sistema YTH, sendo que estas proteínas se encontram envolvidas em diferentes processos celulares. Com base nas características funcionais, foram seleccionadas três destas proteínas e as suas interacções com a S-HDAg foram investigadas com maior detalhe. As três proteínas seleccionadas foram a ribonucleoproteína nuclear heterogénea C (hnRNPC), a embryonic lethal abnormal vision like1 (ELAVL1/HuR) e a proteína 2 de ligação a EBNA1 (EBP2). As duas primeiras são proteínas de ligação a RNA, previamente descritas como envolvidas em processos de replicações de outros vírus com genoma RNA, enquanto a EBP2, é uma proteína de localização preferencialmente nucleolar, tal como por vezes acontece com os HDAgs. As interacções foram analisadas recorrendo a vários ensaios bioquímicos. No caso da hnRNPC e da HuR, após validação no sistema YTH, a capacidade de interacção com a S-HDAg foi confirmada quer in vitro por blot overlay quer in vivo por co-imunoprecipitação em células de hepatoma humano. Nas mesmas células, observou-se uma co-localização considerável entre os HDAgs e os RNAs virais. Finalmente, de modo a investigar a contribuição das proteínas hnRNPC e HuR na replicação do HDV, procedeu-se ao silenciamento destas proteínas pela utilização de short hairpin RNAs (shRNAs) específicos para os mRNAs correspondentes Observou-se que o silenciamento de ambas as proteínas hnRNPC e HuR endógenas, individualmente resultou numa diminuição acentuada nos níveis de expressão dos HDAgs. No que respeita à EBP2, a interacção com a S-HDAg foi confirmada em condições in vitro com recurso a ensaios de blot overlay e de cromatografia de afinidade. A análise por imunofluorescência indirecta e microscopia confocal revelou co-localização elevada entre os HDAgs e a EBP2, principalmente nos nucléolos de células de hepatoma humano. Finalmente, foi ainda utilizado o sistema YTH para estudar os mecanismos de importação dos HDAgs. Assim, este sistema foi utilizado com o propósito de identificar proteínas celulares capazes de interagir com um domínio específico dos HDAgs, o sinal de localização nuclear (NLS). Na pesquisa YTH realizada obtiveram-se 161 clones positivos, sendo que um deles mostrou codificar para a carioferina α4 (KPNA4). A interacção da KPNA4 com a S-HDAg foi reproduzida em condições in vitro através de um ensaio de cromatografia de afinidade tendo sido utilizadas formas recombinantes das duas proteínas. Este trabalho permitiu identificar várias proteínas celulares que interagem com a S-HDAg. Obtiveram-se evidências sugestivas de que algumas das proteínas identificadas podem desempenhar funções importantes no ciclo de replicação do HDV e que abrem novas perspectivas para o estudo do ciclo de replicação do vírus.

Hybrid systems biology: application to Escherichia coli

Dissertation presented to obtain a Master degree in Biotechnology

Hybrid Maneuver for Gradient Search with Multiple Coordinated AUVs

This work presents a hybrid maneuver for gradient search with multiple AUV's. The mission consists in following a gradient field in order to locate the source of a hydrothermal vent or underwater freshwater source. The formation gradient search exploits the environment structuring by the phenomena to be studied. The ingredients for coordination are the payload data collected by each vehicle and their knowledge of the behaviour of other vehicles and detected formation distortions.

Life Cycle Assessment of the Hybrid Vehicle – Toyota Prius

Die Luftverschmutzung, die globale Erwärmung sowie die Verknappung der endlichen Ressourcen sind die größten Bedenken der vergangenen Jahrzehnte. Die Nachfrage nach jeglicher Mobilität steigt rapide. Dementsprechend bemüht ist die Automobilindustrie Lösungen für Mobilität unter dem Aspekt der Nachhaltigkeit und dem Umweltschutz anzubieten. Die Elektrifizierung hat sich hierbei als der beste Weg herausgestellt, um die Umweltprobleme sowie die Abhängigkeit von fossilen Brennstoffen zu lösen. Diese Arbeit soll einen Einblick über die Umweltauswirkungen des Hybridfahrzeuges Toyota Prius geben. Hierbei findet eine Gliederung in vier verschiedene Lebensphasen statt. Im Anschluss bietet die Sachbilanz die Möglichkeit die Umweltauswirkungen mit verschiedenen Antriebsmöglichkeiten und Brennstoffen zu vergleichen. Das Modell hat gezeigt, dass der Toyota Prius während der Nutzung einen hohen Einfluss auf das Treibhauspotenzial aufweist. Durch die Nutzung anderer Brennstoffe, wie beispielsweise Ethanol oder Methanol lassen sich die Auswirkungen am Treibhauspotenzial sowie der Verbrauch an abiotischen Ressourcen reduzieren. Vergleicht man die Elektromobilität mit der konventionellen, so ist festzustellen, dass diese Art der Mobilität die derzeit beste Möglichkeit zur Reduzierung der Umweltbelastungen bietet. Die Auswirkungen der Elektromobilität sind im hohen Maße abhängig von der Art des verwendeten Strommixes.

Re-Use Assessment of Thermoset Composite Wastes as Aggregate and Filler Replacement for Concrete-Polymer Composite Materials: A case study regarding GFRP pultrusion wastes

Glass fibre-reinforced plastics (GFRP), nowadays commonly used in the construction, transportation and automobile sectors, have been considered inherently difficult to recycle due to both the cross-linked nature of thermoset resins, which cannot be remoulded, and the complex composition of the composite itself, which includes glass fibres, polymer matrix and different types of inorganic fillers. Hence, to date, most of the thermoset based GFRP waste is being incinerated or landfilled leading to negative environmental impacts and additional costs to producers and suppliers. With an increasing awareness of environmental matters and the subsequent desire to save resources, recycling would convert an expensive waste disposal into a profitable reusable material. In this study, the effect of the incorporation of mechanically recycled GFRP pultrusion wastes on flexural and compressive behaviour of polyester polymer mortars (PM) was assessed. For this purpose, different contents of GFRP recyclates (0%, 4%, 8% and 12%, w/w), with distinct size grades (coarse fibrous mixture and fine powdered mixture), were incorporated into polyester PM as sand aggregates and filler replacements. The effect of the incorporation of a silane coupling agent was also assessed. Experimental results revealed that GFRP waste filled polymer mortars show improved mechanical behaviour over unmodified polyester based mortars, thus indicating the feasibility of GFRP waste reuse as raw material in concrete-polymer composites.

Hybrid link-state path-vector protocol ++

Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores Mestrado Integrado em Engenharia Electrotécnica e de Computadores