Gestão técnica de edifícios: aplicação em edifício escolar

Esta dissertação, enquadra-se na área da Gestão técnica centralizada ou Building Management Systems (BMS), procura reunir informação relevante acerca desta matéria evidenciando as suas potencialidades e questões técnicas a ter em conta. Este trabalho propõe a implementação de um projecto de BMS numa Escola Secundária da qual foram fornecidos elementos que conduziram ao levantamento de necessidades dos serviços de BMS a implementar. Actualmente, a utilização de sistemas de Gestão Técnica têm sido amplamente utilizados na construção de Edifícios, possuindo uma elevada integração com outros subsistemas. A função da Gestão Técnica é controlar um sistema que lhe seja integrado, esta tecnologia tem sido muito utilizada em Edifícios Comerciais em Portugal. No entanto, os sistemas que são aplicados a outros sistemas integrados podem ter problemas de comunicação, devido á multi-variedade que existe de componentes para esta área. O objectivo deste trabalho é a implementação de um Sistema de Gestão técnica num Edifício escolar, dando ênfase aos serviços e às suas interacções e chamando a atenção para os enormes potenciais em termos de valor acrescentado que é possível retirar destes conceitos. Apresentar noções fundamentais de integração, flexibilidade, adaptabilidade capacidade de oferecer um suporte eficaz à actividade das organizações sediadas no edifício. Para alcançar as informações de pesquisa, para este projecto, o autor irá obter dados de várias fontes. O método de elaboração deste trabalho pode ser classificados em duas partes. Primeira parte, recolha de informação e pesquisa de conhecimento na internet, artigos, livros de referência, cadernos técnicos e teses. Segunda parte, baseado em reflexão, estudo do caso do edifício proposto e alguns conhecimentos prévios.

Energy resource management in smart grids considering an Intensive use of electric vehicles

The introduction of electricity markets and integration of Distributed Generation (DG) have been influencing the power system’s structure change. Recently, the smart grid concept has been introduced, to guarantee a more efficient operation of the power system using the advantages of this new paradigm. Basically, a smart grid is a structure that integrates different players, considering constant communication between them to improve power system operation and management. One of the players revealing a big importance in this context is the Virtual Power Player (VPP). In the transportation sector the Electric Vehicle (EV) is arising as an alternative to conventional vehicles propel by fossil fuels. The power system can benefit from this massive introduction of EVs, taking advantage on EVs’ ability to connect to the electric network to charge, and on the future expectation of EVs ability to discharge to the network using the Vehicle-to-Grid (V2G) capacity. This thesis proposes alternative strategies to control these two EV modes with the objective of enhancing the management of the power system. Moreover, power system must ensure the trips of EVs that will be connected to the electric network. The EV user specifies a certain amount of energy that will be necessary to charge, in order to ensure the distance to travel. The introduction of EVs in the power system turns the Energy Resource Management (ERM) under a smart grid environment, into a complex problem that can take several minutes or hours to reach the optimal solution. Adequate optimization techniques are required to accommodate this kind of complexity while solving the ERM problem in a reasonable execution time. This thesis presents a tool that solves the ERM considering the intensive use of EVs in the smart grid context. The objective is to obtain the minimum cost of ERM considering: the operation cost of DG, the cost of the energy acquired to external suppliers, the EV users payments and remuneration and penalty costs. This tool is directed to VPPs that manage specific network areas, where a high penetration level of EVs is expected to be connected in these areas. The ERM is solved using two methodologies: the adaptation of a deterministic technique proposed in a previous work, and the adaptation of the Simulated Annealing (SA) technique. With the purpose of improving the SA performance for this case, three heuristics are additionally proposed, taking advantage on the particularities and specificities of an ERM with these characteristics. A set of case studies are presented in this thesis, considering a 32 bus distribution network and up to 3000 EVs. The first case study solves the scheduling without considering EVs, to be used as a reference case for comparisons with the proposed approaches. The second case study evaluates the complexity of the ERM with the integration of EVs. The third case study evaluates the performance of scheduling with different control modes for EVs. These control modes, combined with the proposed SA approach and with the developed heuristics, aim at improving the quality of the ERM, while reducing drastically its execution time. The proposed control modes are: uncoordinated charging, smart charging and V2G capability. The fourth and final case study presents the ERM approach applied to consecutive days.