The development of sustainable business models is a challenging task since various factors might influence the results of an assessment. Given the complexity at the municipal level, system interdependencies between different alternatives need to be considered. One possibility to support decision makers is to apply energy system optimization models. Existing optimization models, however, ignore the roles different actors play and the resulting impact they have. To address this research issue, this thesis presents an integrated techno-economic optimization framework called IRPopt (Integrated Resource Planning and Optimization). A proven graph-based energy system approach allows the accurate modeling of deployment systems by considering different energy carriers and technical processes. In addition, a graph-based commercial association approach enables the integration of actor-oriented coordination. This is achieved by the explicit modeling of market actors on one layer and technology processes on another layer as well as resource flow interrelations and commercial agreements mechanism among and between the different layers. Using the optimization framework, various optimization problems are solvable on the basis of a generic objective function. For demonstration purposes, this thesis assesses the business models demand response and community storage. The applied examples demonstrate the modeling capabilities of the developed optimization framework. Further, the dispatch results show the usefulness of the described optimization approach.

Made available in DSpace on 2015-05-14T12:36:37Z (GMT). No. of bitstreams: 1 ArquivoTotalWagner.pdf: 1537495 bytes, checksum: 24391c06b84eb789a63789d66472a304 (MD5) Previous issue date: 2013-08-12 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The Dynamic Allocation Problem Spaces (DSAP) is recent literature, and was inspired by the need to minimize the distances between requested resources for the execution of activities in nuclear power plants. There are similarities of the problem with projects in which the movement of resources generates costs for the final planning, or in cases where congestion of these resources is not advisable, as in large buildings or works in mining. It is necessary, the use of these approximation methods considered to be NP hard. For this, a new constructive heuristic is proposed using integer linear programming model based on activity streams that incorporate information from the graph of dependencies between activities, and then an application of the hybrid GRASP meta-heuristic is discussed. The computational results show that this approach is able to obtain high-quality solutions. / O Problema da Alocação Dinâmica de Espaços (PADE) foi inspirado na necessidade de otimização da distância percorrida por recursos requeridos para realização de atividades na ocorrência de desligamentos planejados em centrais de energia elétrica. Em geral, o problema apresenta aplicações potenciais em projetos nos quais movimentar um recurso é uma tarefa difícil ou cara, ou nos quais o congestionamento desses recursos é indesejável,como em atividades de mineração.Este problema é computacionalmente difícil de se resolvido, logo obter uma solução ótima para instâncias de elevadas dimensões justica o uso de métodos aproximativos. Este trabalho propõe a utilização da metaheurística GRASP para a resolução do PADE.