Avaliação e Otimização do Consumo de Água no Processo e do Sistema de Tratamento de Efluentes

O elevado consumo de água associado à escassez deste recurso contribuiu para que alternativas de reutilização/reciclagem de água fossem estudadas que permitam diminuir o seu consumo e minimizar a dependência das indústrias. Monitorizar e avaliar os consumos de água, a nível industrial, é imprescindível para assegurar uma gestão sustentável dos recursos hídricos, sendo este o objetivo da presente dissertação. As alternativas encontradas na unidade industrial em estudo foram a substituição do equipamento sanitário e o aproveitamento do efluente tratado para operações de lavagem e/ou arrefecimento por contacto direto. A maioria do equipamento sanitário não é eficiente, tendo-se proposto a substituição desse sistema por um de menor consumo que permitirá uma poupança de 30 % no consumo de água, que corresponderá a 12 149,37 €/ano, sendo o retorno do investimento estimado em 3 meses. O efluente industrial na entrada da ETAR e nas diferentes etapas - tratamento primário de coagulação/floculação; tratamento secundário ou biológico em SBR; tratamento terciário de coagulação/floculação - foi caracterizado através da medição da temperatura, pH, oxigénio dissolvido e pela determinação da cor, turvação, sólidos suspensos totais (SST), azoto total, carência química de oxigénio (CQO), Carência Bioquímica de Oxigénio ao fim de 5 dias (CBO5) e razão CBO5/CQO. Esta caracterização permitiu avaliar o efluente industrial bruto que se caracteriza por um pH alcalino (8,3 ± 1,7); condutividade baixa (451 ± 200,2 μS/cm); elevada turvação (11 255 ± 8812,8 FTU); cor aparente (63 670 ± 42293,4 PtCo) e cor verdadeira (33 621 ± 19547,9 PtCo) elevadas; teores elevados de CQO (24 753 ± 11806,7 mg/L O2) SST (5 164 ± 3845,5 mg/L) e azoto total (718 mg/L) e um índice de biodegradabilidade baixo (razão CBO5/CQO de 1,4). Este estudo permitiu verificar que a eficiência global do tratamento do efluente foi 82 % na remoção da turvação, 83 % na remoção da cor aparente, 96 % na remoção da cor verdadeira, 85 % na remoção da CQO e 30 % na remoção dos SST. Quanto às eficiências de remoção associadas ao tratamento primário no que diz respeito à turvação, cor aparente, CQO e SST, apresentam valores inferiores aos referidos na literatura para o mesmo tipo de tratamento em efluentes similares. As eficiências de remoção obtidas no tratamento secundário são inferiores às do tratamento primário: turvação, cor aparente, CQO e SST, pelo que procurou-se otimizar a primeira etapa do processo de tratamento Neste estudo de otimização estudou-se a influência de cinco coagulantes – Sulfato de Alumínio, PAX XL – 10, PAX 18, cloreto de ferro e a conjugação de PAX 18 com sulfato de ferro - e seis floculantes – Superfloc A 150, Superfloc A 130, PA 1020, Ambifloc 560, Ambifloc C58 e Rifloc 54 - no tratamento físico-químico do efluente. O PAX 18 e o Ambifloc 560 UUJ foram os que apresentaram as mais elevadas eficiências de remoção (99,85 % na cor, 99,87 % na turvação, 90,12 % na CQO e 99,87 % nos SST). O custo associado a este tratamento é de 1,03 €/m3. Pela comparação com os critérios de qualidade no guia técnico ERSAR, apenas o parâmetro da CQO excede o valor, contudo o valor obtido permite diminuir os custos associados a um tratamento posterior para remoção da CQO remanescente no efluente residual tratado.

A multi-objective optimization of the active and reactive resource scheduling at a distribution level in a smart grid context

In the traditional paradigm, the large power plants supply the reactive power required at a transmission level and the capacitors and transformer tap changer were also used at a distribution level. However, in a near future will be necessary to schedule both active and reactive power at a distribution level, due to the high number of resources connected in distribution levels. This paper proposes a new multi-objective methodology to deal with the optimal resource scheduling considering the distributed generation, electric vehicles and capacitor banks for the joint active and reactive power scheduling. The proposed methodology considers the minimization of the cost (economic perspective) of all distributed resources, and the minimization of the voltage magnitude difference (technical perspective) in all buses. The Pareto front is determined and a fuzzy-based mechanism is applied to present the best compromise solution. The proposed methodology has been tested in the 33-bus distribution network. The case study shows the results of three different scenarios for the economic, technical, and multi-objective perspectives, and the results demonstrated the importance of incorporating the reactive scheduling in the distribution network using the multi-objective perspective to obtain the best compromise solution for the economic and technical perspectives.

Decision Support for Energy Contracts Negotiation with Game Theory and Adaptive Learning

This paper presents a decision support methodology for electricity market players’ bilateral contract negotiations. The proposed model is based on the application of game theory, using artificial intelligence to enhance decision support method’s adaptive features. This model is integrated in AiD-EM (Adaptive Decision Support for Electricity Markets Negotiations), a multi-agent system that provides electricity market players with strategic behavior capabilities to improve their outcomes from energy contracts’ negotiations. Although a diversity of tools that enable the study and simulation of electricity markets has emerged during the past few years, these are mostly directed to the analysis of market models and power systems’ technical constraints, making them suitable tools to support decisions of market operators and regulators. However, the equally important support of market negotiating players’ decisions is being highly neglected. The proposed model contributes to overcome the existing gap concerning effective and realistic decision support for electricity market negotiating entities. The proposed method is validated by realistic electricity market simulations using real data from the Iberian market operator—MIBEL. Results show that the proposed adaptive decision support features enable electricity market players to improve their outcomes from bilateral contracts’ negotiations.

PIASA: A power and interference aware resource management strategy for heterogeneous workloads in cloud data centers

Cloud data centers have been progressively adopted in different scenarios, as reflected in the execution of heterogeneous applications with diverse workloads and diverse quality of service (QoS) requirements. Virtual machine (VM) technology eases resource management in physical servers and helps cloud providers achieve goals such as optimization of energy consumption. However, the performance of an application running inside a VM is not guaranteed due to the interference among co-hosted workloads sharing the same physical resources. Moreover, the different types of co-hosted applications with diverse QoS requirements as well as the dynamic behavior of the cloud makes efficient provisioning of resources even more difficult and a challenging problem in cloud data centers. In this paper, we address the problem of resource allocation within a data center that runs different types of application workloads, particularly CPU- and network-intensive applications. To address these challenges, we propose an interference- and power-aware management mechanism that combines a performance deviation estimator and a scheduling algorithm to guide the resource allocation in virtualized environments. We conduct simulations by injecting synthetic workloads whose characteristics follow the last version of the Google Cloud tracelogs. The results indicate that our performance-enforcing strategy is able to fulfill contracted SLAs of real-world environments while reducing energy costs by as much as 21%.

Fiscal decentralisation and economic theory

There is no complete overview or discussion of the literature of the economics of federalism and fiscal decentralization, even though scholarly interest in the topic has been increasing significantly over recent years. This paper provides a general, brief but comprehensive overview of the main insights from the literature on fiscal federalism and decentralization. In doing so, literature on fiscal federalism and decentralization is grouped into two main approaches: “first generation of theories” and “second generation of theories”.

Federated IaaS Resource Brokerage

This paper presents the CloudAnchor brokerage platform for the transaction of single provider as well as federated Infrastructure as a Service (IaaS) resources. The platform, which is a layered Multi-Agent System (MAS), provides multiple services, including (consumer or provider) business registration and deregistration, provider coalition creation and termination, provider lookup and invitation and negotiation services regarding brokerage, coalitions and resources. Providers, consumers and virtual providers, representing provider coalitions, are modelled by dedicated agents within the platform. The main goal of the platform is to negotiate and establish Service Level Agreements (SLA). In particular, the platform contemplates the establishment of brokerage SLA – bSLA – between the platform and each provider or consumer, coalition SLA – cSLA – between the members of a coalition of providers and resource SLA – rSLA – between a consumer and a provider. Federated resources are detained and negotiated by virtual providers on behalf of the corresponding coalitions of providers.

Potencial Utilização de um Enterprise Resource Planning System para Suportar Práticas de Gestão de Conhecimento nas Organizações. Uma Aplicação com Dynamics Nav da Microsoft

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

Understanding the internet banking adoption by Portuguese customers - a unified theory of acceptance and use of technology and perceived risk application.

Trabalho de Projeto apresentado como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

The impact of sizeof the firm and exchange rate in the export propensity of domestic and foreign owned firms in a developing country: A study of the Brazilian exporters

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Men’s purchase intention of shampoo: a model based on the theory of planned behavior and self-concept

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Dependence of IVIM-DWI estimations on acquisition parameters

Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica

Fossil fuel dependence and interfuel substitution in the electricity sector of Western European countries between 1990-2011

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics

Three essays on game theory and bargaining

A PhD Dissertation, presented as part of the requirements for the Degree of Doctor of Philosophy from the NOVA - School of Business and Economics

Growing globally: Is it reasonable for Logoplaste to enter the Colombian rigid plastic packaging market?

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Adaptation as a part of system resilience. insights from fish producers organizations in Portugal

Complex problems of globalized society challenge its adaptive capacity. However, it is precisely the nature of these human induced problems that provide enough evidence to show that adaptability may not be on a resilient path. This thesis explores the ambiguity of the idea of adaptation (and its practice) and illustrates the ways in which adaptability contributes to resilience of social ecological systems. The thesis combines a case study and grounded theory approach and develops an analytical framework to study adaptability in resource users’ organizations: from what it depends on and what the key challenges are for resource management and system resilience. It does so for the specific case of fish producers’ organizations (POs) in Portugal. The findings suggest that while ecological and market context, including the type of crisis, may influence the character of fishers’ adaptation within POs (i.e. anticipatory, maladaptive and reactively adaptive), it does not determine it. Instead, it makes agency even more crucial (i.e. leadership, trust and agent’s perceptions in terms of their impact on fishers’ motivation to learn from each other). In sum, it was found that internal adaptation can improve POs’ contribution to fishery management and resilience, but it is not a panacea and may, in some cases, increase system vulnerability to change. Continuous maladaptation of some Portuguese POs points at a basic institutional problem (fish market regime), which clearly reduces fisheries resilience as it promotes overfishing. However, structural change may not be sufficient to address other barriers to Portuguese fishers’ (PO members) adaptability, such as history (collective memory) and associated problematic self-perceptions. The agency (people involved in structures and practices) also needs to change. What and how institutional change and agency change build on one another (e.g. comparison of fisheries governance in Portugal and other EU countries) is a topic to be explored in further research.