Factores que influenciam a mortalidade de abetarda e sisão por colisão em linhas de muito alta tensão. Análises às escalas local e regional e implicações para o Ordenamento do Território

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Ordenamento do Território e Planeamento Ambiental

Contributo das praias fluviais para o desenvolvimento regional: a rede de praias fluviais do Pinhal Interior

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Ordenamento do Território e Planeamento Ambiental

A importância da política regional comunitária para o desenvolvimento de Portugal e da Irlanda: uma comparação

Dissertação de mestrado Universidade do Minho

Data analysis applied to the evaluation of a technological nature teaching model as a regional development tool

This paper presents the creation and development of technological schools directly linked to the business community and to higher public education. Establishing themselves as the key interface between the two sectors they make a signigicant contribution by having a greater competitive edge when faced with increasing competition in the tradional markets. The development of new business strategies supported by references of excellence, quality and competitiveness also provides a good link between the estalishment of partnerships aiming at the qualification of education boards at a medium level between the technological school and higher education with a technological foundation. We present a case study as an example depicting the success of Escola Tecnológica de Vale de Cambra.

Fisioterapia e reabilitação em Portugal : o financiamento como factor crítico do desempenho

RESUMO - Num contexto em que a prestação de cuidados de Fisioterapia e Reabilitação é identificada como apresentando uma desigualdade e desajustamento da oferta regional superior à dos restantes cuidados de saúde, assim como uma falta de adequação dos preços praticados, perante as condições de oferta e procura actualmente existentes, o presente trabalho tem por objectivo investigar, no domínio do Desempenho, a influência do Financiamento na definição da prestação destes cuidados, tendo como pressuposto genérico que as decisões estratégicas e a reestruturação produtiva das organizações de saúde são condicionadas pelo sistema de preços. Considera-se que o actual sistema de Financiamento/Pagamento provoca um constrangimento na qualidade da resposta destes cuidados a dois níveis: um primeiro nível, ao colocar o pagamento no âmbito dos Meios Complementares de Diagnóstico e Terapêutica (MCDTs) a contratar pelo Serviço Nacional de Saúde, com isso determinando a configuração organizativa do sistema; um segundo nível de constrangimento que incide sobre as estruturas das organizações prestadoras, pela modelação que induz, nomeadamente a nível da sua produção. Na impossibilidade de tratar as duas dimensões do problema, pela falta de indicadores de desempenho deste sector, analisou-se, relativamente ao segundo nível de constrangimento, a produção de fisioterapia de três organizações que, potencialmente, teriam o mesmo o mesmo perfil de oferta por se enquadrarem num mesmo perfil de procura. Os resultados reflectem o pressuposto genérico do trabalho e abrem espaço para colocar como futura hipótese de investigação a razão da(s) causa(s) que poderão estar subjacentes à discrepância encontrada na média de tratamentos por sessão (duas vezes e meia) na produção das duas organizações que foi possível comparar.------------------- ABSTRACT - In a context where the provision of Physical Therapy and Rehabilitation care is identified as having a regional mismatch of supply and inequality above all the others health cares, and a lack of adequacy of prices in the current conditions of supply and demand, the present work has, as main purpose, to investigate, in the field of Performance, the Payment’s influence in shaping the provision of such health care. The general assumption tracking this analysis is that the strategic decisions on productive structure of health care organizations are influenced by the price systems. It is considered that the current Finance / Payment system causes two levels of constraints on the quality of such health care: a first constraint, as it putts its payment under the Supplementary Means of Diagnosis and Therapy (MCDTs), witch ends up establishing the organizational setup of the system; a second level of constraint by modelling the internal structure of these organizations. The lack of indicators characterizing the performance of this sector, addressed the present study to the second dimension, in witch was analysed the physical therapy production in three organizations that, potentially, would have the same profile of supply responding to similar characteristics of demand. The results reflect the above mentioned general assumption that supported the work, and leave an open space for future research, about the reason (s) that lay behind the discrepancy found between the average of treatments per session (two and a half times) in

Estudo descritivo do perfil de utilizador da linha Saúde 24 com análise de impacto ao nível da eficiência, equidade e empowerment em comparação com o modelo inglês NHS Direct

RESUMO - A 8 de Maio de 2008 surgiu o centro de atendimento “Linha Saúde24” (S24) no sentido de modernizar o SNS, aproximando-o do cidadão. O serviço surge baseado no modelo inglês – o NHS Direct – que pode ser encarado como um serviço de informação telefónico apoiado por enfermeiros, disponível 24h por dia, concebido para expandir os serviços púbicos de acesso à rede prestadora de cuidados com intuito de aliviar a pressão da procura na rede de urgências hospitalares e médicos de família, assim como diluir as iniquidades regionais na prestação de serviços. A S24 assenta na perspectiva de ser um ponto de contacto inicial do utente com a rede de prestação de cuidados de saúde com capacidade de orientação. O objectivo da linha está na tentativa mais eficiente no uso dos recursos disponíveis, ao mesmo tempo que delega responsabilidade no cidadão na forma como este utiliza os recursos disponíveis, com melhor racionalização financeira na área da saúde aliada a uma melhor qualidade de serviço prestada e adequada, colocando os cidadãos no mesmo patamar, diluindo as dificuldades de acesso a aqueles que necessitam na tentativa de harmonizar e racionalizar o consumo de serviços de saúde. Esta estrutura permite ao cidadão conhecer melhor o seu estado de saúde e decidir mais acertadamente quanto à decisão a tomar. Com este estudo, e com base na literatura nacional e internacional, pretende-se descrever o perfil de utilizador que acede à S24 – definir o tipo de utilizador, disposição geográfica, motivos pelo qual acede ao serviço e qual o seu destino final, fazendo comparação com o perfil do NHS Direct. Assim, e com os dados obtidos, far-se-á uma avaliação preliminar em termos do contributo da linha S24 no que concerne à sua eficiência, equidade e empowerment dado ao utilizador. --- ------------------------------ABSTRACT - Saúde 24 (S24) is a national 24-hour health line initiated in May 2008 aiming at modernizing the Portuguese NHS by bringing it closer to the citizen. Indeed, S24 be seen as an initial contact point between the patient and the healthcare network, facilitating a better a management of health care demand. The service is inspired on the UK NHS Direct – a nurse-led telephone line to provide easier and faster advice information to people about health, illness and NHS services. It is expected to provide information so that people can deal with their health problems or their families´ on their own, with the purpose of reducing demand to A&E department and out-of-hours GP services. Additionally it can contribute to a reduction in regional inequities in healthcare provision through bringing health care advice to remote areas. The purpose of S24 is to handle more efficiently the available resources by enabling responsibilities in citizens. By doing so, S24 encourages a more appropriate use of available resources, with better financial outcomes and a better quality of care. It is meant, in terms of empowerment, to help people to be in control of their health and healthcare interactions by participating in the final decision. Based on quantitative data, this study defines the S24 caller user profile in terms of type, geographical reference, reasons for calling and outcome. This analysis allows us to perform a preliminary evaluation of the S24 in terms of its contribution to efficiency, equity and empowerment. Then the S24 is compared to

Empreendedorismo social e desenvolvimento regional

. O  propósito desta  comunicação  é  compreender  a relação  entre  a favorabilidade  do  contexto  externo e o empreendedorismo social em Portugal. A investigação adota uma metodologia quantitativa. Os  dados  primários  foram  recolhidos  através  de  um  inquérito  por  questionário,  on‐line,  enviado  aos  responsáveis que estiveram na base da constituição das Organizações Não‐Governamentais de Cooperação  para o Desenvolvimento existentes em Portugal, bem como aos responsáveis pelos projetos, que à data do  inquérito, se encontravam cotados na Bolsa de Valores Sociais. No teste das hipóteses de investigação foram  utilizadas técnicas de análise descritiva, técnicas de redução de dados (análise fatorial por componentes  principais),  e  o teste t‐student. Os resultados revelaram  que  um  contexto  externo  favorável tem  uma  importância baixa na decisão de formação de uma organização social. Os resultados obtidos encontram  suporte  para  o  facto  de  muitas  iniciativas  de  empreendedorismo social  tenderem  a  localizar  as suas  atividades em ambientes desfavoráveis, o que confirma o papel do empreendedorismo social na atenuação  das assimetrias sociais e económicas entre as regiões do território nacional.

Day-ahead Resource Scheduling Including Demand Response for Electric Vehicles

The energy resource scheduling is becoming increasingly important, as the use of distributed resources is intensified and massive gridable vehicle (V2G) use is envisaged. This paper presents a methodology for day-ahead energy resource scheduling for smart grids considering the intensive use of distributed generation and V2G. The main focus is the comparison of different EV management approaches in the day-ahead energy resources management, namely uncontrolled charging, smart charging, V2G and Demand Response (DR) programs i n the V2G approach. Three different DR programs are designed and tested (trip reduce, shifting reduce and reduce+shifting). Othe r important contribution of the paper is the comparison between deterministic and computational intelligence techniques to reduce the execution time. The proposed scheduling is solved with a modified particle swarm optimization. Mixed integer non-linear programming is also used for comparison purposes. Full ac power flow calculation is included to allow taking into account the network constraints. A case study with a 33-bus distribution network and 2000 V2G resources is used to illustrate the performance of the proposed method.

Modified Particle Swarm Optimization Applied to Integrated Demand Response and DG Resources Scheduling

The elastic behavior of the demand consumption jointly used with other available resources such as distributed generation (DG) can play a crucial role for the success of smart grids. The intensive use of Distributed Energy Resources (DER) and the technical and contractual constraints result in large-scale non linear optimization problems that require computational intelligence methods to be solved. This paper proposes a Particle Swarm Optimization (PSO) based methodology to support the minimization of the operation costs of a virtual power player that manages the resources in a distribution network and the network itself. Resources include the DER available in the considered time period and the energy that can be bought from external energy suppliers. Network constraints are considered. The proposed approach uses Gaussian mutation of the strategic parameters and contextual self-parameterization of the maximum and minimum particle velocities. The case study considers a real 937 bus distribution network, with 20310 consumers and 548 distributed generators. The obtained solutions are compared with a deterministic approach and with PSO without mutation and Evolutionary PSO, both using self-parameterization.

Distributed, Agent-Based Intelligent System for Demand Response Program Simulation in Smart Grids

A distributed, agent-based intelligent system models and simulates a smart grid using physical players and computationally simulated agents. The proposed system can assess the impact of demand response programs.

Decision Support Concerning Demand Response Programs Design and Use – A Conceptual Framework and Simulation Tool

Demand response can play a very relevant role in the context of power systems with an intensive use of distributed energy resources, from which renewable intermittent sources are a significant part. More active consumers participation can help improving the system reliability and decrease or defer the required investments. Demand response adequate use and management is even more important in competitive electricity markets. However, experience shows difficulties to make demand response be adequately used in this context, showing the need of research work in this area. The most important difficulties seem to be caused by inadequate business models and by inadequate demand response programs management. This paper contributes to developing methodologies and a computational infrastructure able to provide the involved players with adequate decision support on demand response programs and contracts design and use. The presented work uses DemSi, a demand response simulator that has been developed by the authors to simulate demand response actions and programs, which includes realistic power system simulation. It includes an optimization module for the application of demand response programs and contracts using deterministic and metaheuristic approaches. The proposed methodology is an important improvement in the simulator while providing adequate tools for demand response programs adoption by the involved players. A machine learning method based on clustering and classification techniques, resulting in a rule base concerning DR programs and contracts use, is also used. A case study concerning the use of demand response in an incident situation is presented.

Distributed Generation and Demand Response Dispatch for a Virtual Power Player Energy and Reserve Provision

Recent changes in the operation and planning of power systems have been motivated by the introduction of Distributed Generation (DG) and Demand Response (DR) in the competitive electricity markets' environment, with deep concerns at the efficiency level. In this context, grid operators, market operators, utilities and consumers must adopt strategies and methods to take full advantage of demand response and distributed generation. This requires that all the involved players consider all the market opportunities, as the case of energy and reserve components of electricity markets. The present paper proposes a methodology which considers the joint dispatch of demand response and distributed generation in the context of a distribution network operated by a virtual power player. The resources' participation can be performed in both energy and reserve contexts. This methodology contemplates the probability of actually using the reserve and the distribution network constraints. Its application is illustrated in this paper using a 32-bus distribution network with 66 DG units and 218 consumers classified into 6 types of consumers.

Evaluation of the Electric Vehicle Impact in the Power Demand Curve in a Smart Grid Environment

Smart grids with an intensive penetration of distributed energy resources will play an important role in future power system scenarios. The intermittent nature of renewable energy sources brings new challenges, requiring an efficient management of those sources. Additional storage resources can be beneficially used to address this problem; the massive use of electric vehicles, particularly of vehicle-to-grid (usually referred as gridable vehicles or V2G), becomes a very relevant issue. This paper addresses the impact of Electric Vehicles (EVs) in system operation costs and in power demand curve for a distribution network with large penetration of Distributed Generation (DG) units. An efficient management methodology for EVs charging and discharging is proposed, considering a multi-objective optimization problem. The main goals of the proposed methodology are: to minimize the system operation costs and to minimize the difference between the minimum and maximum system demand (leveling the power demand curve). The proposed methodology perform the day-ahead scheduling of distributed energy resources in a distribution network with high penetration of DG and a large number of electric vehicles. It is used a 32-bus distribution network in the case study section considering different scenarios of EVs penetration to analyze their impact in the network and in the other energy resources management.

Dynamic load management in a smart home to participate in demand response events

In future power systems, in the smart grid and microgrids operation paradigms, consumers can be seen as an energy resource with decentralized and autonomous decisions in the energy management. It is expected that each consumer will manage not only the loads, but also small generation units, heating systems, storage systems, and electric vehicles. Each consumer can participate in different demand response events promoted by system operators or aggregation entities. This paper proposes an innovative method to manage the appliances on a house during a demand response event. The main contribution of this work is to include time constraints in resources management, and the context evaluation in order to ensure the required comfort levels. The dynamic resources management methodology allows a better resources’ management in a demand response event, mainly the ones of long duration, by changing the priorities of loads during the event. A case study with two scenarios is presented considering a demand response with 30 min duration, and another with 240 min (4 h). In both simulations, the demand response event proposes the power consumption reduction during the event. A total of 18 loads are used, including real and virtual ones, controlled by the presented house management system.

Significado regional dos depósitos neogénicos continentais da área de Vila de Rei (Portugal Central)

In the Vila de Rei area (Central Portugal) the continental deposits of the Lower Tagus Tertiary Basin lay upon the pediment of the Portuguese Central Chain. Three conglomerate units are recorded from the base upwards, separated by regional or basinal unconformities; Conglomerados de Rio de Moinhos (RM); Conglomerados de Serra de Almeirim (SA) and Conglomerados de Vila de Rei (VR). The first two units (RM and SA) have been sites of gold exploitation in huge open pit mines probably during Roman colonisation times. The contact of this units, on the Paleozoic basement or on the Paleogene unit Grés de Monsanto, is unconform, defining in both limits a large nondepositional and/or erosional hiatus. Those conglomerates seal the sedimentation of the Lower Tagus Tertiary Basin along its northern border. Taking into account the significance assigned to their basinal unconformity limits, the uplift of the Portuguese Central Chain, and the fact of this continental units yielded no fossils with chronostratigraphic significance, they have been considered ranging from Upper Miocene to the beginning of the Quaternary. Finally, a lithostraligraphic equivalence with the Neogenic units of the Bierzo and Duerna basins (NW of the Iberian Peninsula), where exploitations from Roman times are also evident, is presented.