Co-Authorship of scientists in the energy field: an exploratory study of the ETDE World Energy Database (ETDEWEB) using Social Network Analysis

Paper presented at the 5th European Conference Economics and Management of Energy in Industry, Vilamoura, Algarve. Apr. 14-17, 2009, 11p. URL: http:// www.cenertec.pt/ecemei/

Energy Harvesting for Autonomous Underwater Vehicles

In this study, energy production for autonomous underwater vehicles is investigated. This project is part of a bigger project called TURTLE. The autonomous vehicles perform oceanic researches at seabed for which they are intended to be kept operational underwater for several months. In order to ful l a long-term underwater condition, powerful batteries are combined with \micro- scale" energy production on the spot. This work tends to develop a system that generates power up to a maximum of 30 W. Latter energy harvesting structure consists basically of a turbine combined with a generator and low-power electronics to adjust the achieved voltage to a required battery charger voltage. Every component is examined separately hence an optimum can be de ned for all, and subsequently also an overall optimum. Di erent design parameters as e.g. number of blades, solidity ratio and cross-section area are compared for di erent turbines, in order to see what is the most feasible type. Further, a generator is chosen by studying how ux distributions might be adjusted to low velocities, and how cogging torque can be excluded by adapted designs. Low-power electronics are con gured in order to convert and stabilize heavily varying three-phase voltages to a constant, recti ed voltage which is usable for battery storage. Clearly, di erent component parameters as maximum power and torque are matched here to increase the overall power generation. Furthermore an overall maximum power is set up for achieving a maximum power ow at load side. Due to among others typical low velocities of about 0.1 to 0.5 m/s, and constructing limits of the prototype, the vast range of components is restricted to only a few that could be used. Hence, a helical turbine is combined in a direct drive mode to a coreless-stator axial- ux permanent-magnet generator, from which the output voltage is adjusted subsequently by a recti er, impedance matching unit, upconverter circuit and an overall control unit to regulate di erent component parameters. All these electronics are combined in a closed-loop design to involve positive feedback signals. Furthermore a theoretical con guration for the TURTLE vehicle is described in this work and a solution is proposed that might be implemented, for which several design tests are performable in a future study.

Energy-aware Task Allocation onto Unrelated Heterogeneous Multicore Platform for Mixed Criticality Systems

Presented at Work in Progress Session, IEEE Real-Time Systems Symposium (RTSS 2015). 1 to 4, Dec, 2015. San Antonio, U.S.A..

Environmental impact assessment of energy crops cultivation in the Mediterranean Europe

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa Para a obtenção do Grau de Mestre em Energia e Bioenergia

Co-Authorship of scientists in the energy field: a study of the ETDE World Energy Database (ETDEWEB) using social network analysis

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

Cost allocation model for distribution networks considering high penetration of distributed energy resources

The high penetration of distributed energy resources (DER) in distribution networks and the competitive environment of electricity markets impose the use of new approaches in several domains. The network cost allocation, traditionally used in transmission networks, should be adapted and used in the distribution networks considering the specifications of the connected resources. The main goal is to develop a fairer methodology trying to distribute the distribution network use costs to all players which are using the network in each period. In this paper, a model considering different type of costs (fixed, losses, and congestion costs) is proposed comprising the use of a large set of DER, namely distributed generation (DG), demand response (DR) of direct load control type, energy storage systems (ESS), and electric vehicles with capability of discharging energy to the network, which is known as vehicle-to-grid (V2G). The proposed model includes three distinct phases of operation. The first phase of the model consists in an economic dispatch based on an AC optimal power flow (AC-OPF); in the second phase Kirschen's and Bialek's tracing algorithms are used and compared to evaluate the impact of each resource in the network. Finally, the MW-mile method is used in the third phase of the proposed model. A distribution network of 33 buses with large penetration of DER is used to illustrate the application of the proposed model.

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.

Energy-efficient MAC protocols for WBANs: Opportunities and challenges

Wireless body area networks (WBANs) are expected to play a significant role in smart healthcare systems. One of the most important attributes of WBANs is to increase network lifetime by introducing novel and low-power techniques on the energy-constrained sensor nodes. Medium access control (MAC) protocols play a significant role in determining the energy consumption in WBANs. Existing MAC protocols are unable to accommodate communication requirements in WBANs. There is a need to develop novel, scalable and reliable MAC protocols that must be able to address all these requirements in a reliable manner. In this special issue, we attracted high quality research and review papers on the recent advances in MAC protocols for WBANs.

Efficient succinic acid production from glycerol by actinobacillus succinogenes using dimethyl sulfoxid as electron acceptor

Dissertação para obtenção do Grau de Mestre em Engenharia Química e Bioquímica

Providing energy efficiency location-based strategies for buildings using linked open data

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Comparação dos Perfis Lipídicos de Plasma de uma População da Região Norte

Os ácidos gordos desempenham um papel fisiológico importante como componentes indispensáveis na estrutura celular, bem como fontes de energia. Nas últimas décadas, tem havido um aumento notável do interesse público nos ácidos gordos polinsaturados ómegas 3 e 6 e no seu impacto sobre a saúde humana, especialmente em doenças metabólicas e cardiovasculares. Estes ácidos gordos específicos podem prevenir e/ou tratar várias patologias metabólicas, atuando nomeadamente como compostos anti-inflamatórios. A menopausa é um fator de risco para doença cardiovascular, a diminuição de estrogénio, que ocorre neste estado fisiológico, provoca disfunção endotelial e stresse oxidativo. Consequentemente há uma redução dos níveis de ácidos gordos polinsaturados ómegas 3, o que contribui para o aparecimento de aterosclerose e doença cardiovascular. Neste contexto, o objetivo deste estudo foi avaliar e caracterizar o perfil lipídico de ácidos gordos de uma amostra de mulheres pós-menopausa e com este, estudar as associações entre o perfil lipídico determinado e parâmetros metabólicos de risco (parâmetros clínicos e bioquímicos). Inicialmente, os ácidos gordos foram extraídos da matriz plasmática através da derivatização destes e a sua composição percentual no plasma foi determinada com recurso a cromatografia gasosa com deteção de ionização de chama. De seguida, através do software IBM SPSS Statistics 21, foram estabelecidas associações entre os parâmetros clínicos e bioquímicos e o perfil lipídico determinado. A população em estudo foi divida em dois grupos consoante o período de entrada na menopausa (há menos de 7 anos e há 7 anos ou mais). Não há conhecimento de estudos semelhantes ao apresentado, que relacionem todo o perfil de ácidos gordos com parâmetros metabólicos de risco considerando o estado menopausal. Os resultados obtidos mostram que o perfil lipídico influencia vários marcadores metabólicos / endócrinos com relevância clínica que devem ser explorados em futuros ensaios clínicos. Para as mulheres na menopausa há menos de 7 anos foram estabelecidas as seguintes relações: i) entre os ácidos gordos saturados e insaturados cis e os níveis de ALP; ii) entre os ácidos gordos mono e polinsaturados cis e os níveis de GGT, IL10 e estradiol; iii) entre os ácidos gordos polinsaturados trans e o IMC e os níveis de IL6; iv) entre os ómegas 3 e os níveis de IL10 e ácido úrico; v) entre os ómegas 6 e os níveis de estradiol, ALP e GGT; vi) entre os ómegas 9 e os níveis de estradiol e GGT; vi) entre os ácidos gordos de curta cadeia e os níveis de colesterol total, LDL, triglicerídeos e IL10; vii) entre os ácidos gordos saturados de cadeia longa e o ΣÁcido láurico, mirístico, palmítico e esteárico e os níveis de triglicerídeos, ALP e GGT; viii) os níveis de IL10 podem ser simultaneamente associados com os ácidos gordos de curta cadeia e os ómegas 3. Para as mulheres na menopausa há 7 anos ou mais foram estabelecidas relações: i) entre os ómegas 3 e o IMC e os níveis de triglicerídeos; ii) entre os ácidos gordos monoinsaturados cis e os ómegas 9 com os níveis de ALT. Relações independentes do estado menopausal também foram estabelecidas, nomeadamente: i) entre os ácidos gordos polinsaturados cis e ómegas 6 e os níveis de ALT, triglicerídeos e AST; ii) entre os níveis de ácidos gordos monoinsaturados cis e ómegas 9 e os níveis de AST e triglicerídeos. O perfil lipídico de ácidos gordos pode ser considerado um biomarcador para a condição de saúde da mulher na menopausa.

Impacts of climate change scenarios on terrestrial productivity and biomass for energy in the Iberian Peninsula: assessment through the JSBACH model

Dissertação para obtenção do Grau de Mestre em Engenharia do Ambiente, Perfil de Gestão e Sistemas Ambientais

Electron impact ionization cross sections and analysis of X-ray spectra

A thesis submitted for the degree of Ph. D. in Physics

Energy efficiency in energy policy: Empirical evidence of direct rebound effect in Portuguese households' demand for electricity

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

How does household energy consumption contribute to PM10 emissions?

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