Conselho Nacional de Desenvolvimento Científico e Tecnológico / Sustainability is becoming a major driving force in energy policy, leading to the development of different strategies and projects. Many of these strategies are related to the application of novel methodologies for selecting Renewable Energy Systems (RES) and energy storage systems. Electrical generation with biogas from municipal solid waste (MSW) is one of the main alternatives to concern all the conceptions of sustainability - social, economic and environmental constrains. The complexity of sustainability and energy planning makes the multicriteria analysis a valuable tool for the decision making process. The use of an effective methodology for RES selection a decision making process is essential to guarantee the adequate energy management of the biogas and the MSW landfill. This methodology must be able to balance positive and negative aspects, achieving an overall solution that best satisfies the management needs. It is essential to deal with several parameters and concern the decision maker (DM) interaction over the decision making process. By applying the DM preferences into the development of the methodology, it is possible to corroborate the methodology outcome. The presented thesis will therefore develop a novel methodology for selection of RES fuelled by biogas from MSW landfills. This methodology taking as basis fuzzy multi-rules and multi-sets to provide an accurate analysis of conflicting aspects - operational, economic, environmental, social, etc. These aspects are taken into account for each study case according to different perspectives adopted by the DMs. The novel arrangements developed in this work are the creation of a previous classification of the priority criteria, the application of meta-rules and how to structure the fuzzy rules construction. The proposed arrangements have the purpose of easing the understanding of the methodology, as well as improving the DM interaction over the decision making process achieving in this way a better solution. This work presents the application of the novel decision making process to select the most appropriate energy source fuelled by biogas from MSW, considering the Caturrita II landfill located at Santa Maria City, Brazil. In conclusion, it is important to emphasize that the novel software may be used in any energy system selection, for supplying or storage, according to the analysis of several criteria and perspectives for each regional circumstances, as well as particular management needs.. / A busca pelo desenvolvimento sustentável, em âmbitos sociais e ambientais, é um fator de extrema importância que incentiva a elaboração de várias pesquisas e projetos, como por exemplo, à aplicação de técnicas de gerenciamento e seleção de fontes alternativas renováveis de geração de energia. Dentre estas fontes, o aproveitamento energético do biogás resultante da decomposição de resíduos sólidos urbanos é um dos meios que propicia um desenvolvimento sustentável de forma mais completa. Para o devido aproveitamento de fontes alternativas renováveis, como a geração de energia elétrica e térmica a partir de resíduos sólidos urbanos, deve-se tomar como base métodos multicriteriais, considerando a existência de uma série de critérios para atender necessidades e interesses diversos quando se deseja selecionar tecnologias de geração e armazenamento de energia. A partir da utilização de métodos de ajuda a decisão é possível incorporar de forma clara as preferências dos agentes de decisão, obtendo como resposta final uma solução mais satisfatória e que pode ser corroborada através de validações heurísticas discussões dos resultados junto aos agentes de decisão. Mediante estes argumentos, o presente trabalho tem a finalidade de desenvolver uma metodologia de apoio a decisão para a seleção de sistemas para geração de energia elétrica com biogás proveniente de resíduos sólidos urbanos, avaliando devidamente cada processo decisório de acordo com aspectos econômicos, operacionais, ambientais e sociais. Para o alcance deste objetivo fez se uso da lógica difusa baseada em regras e conjuntos fuzzy aplicados sobre diversos critérios, avaliando diferentes perspectivas. Os aperfeiçoamentos mais importantes apresentados na elaboração desta tese se referem à criação de uma etapa de relevância prévia aos critérios em análise, criação e seleção de meta-regras e forma de apresentação e construção de tais regras, facilitando o entendimento dos agentes de decisão para a avaliação do processo decisório e propiciando uma maior participação dos mesmos para obtenção de um resultado mais satisfatório. É possível observar ainda que os aperfeiçoamentos desenvolvidos permitiram a devida construção e averiguação das modelagens construídas. No estudo de caso principal aterro sanitário Caturrita II localizado na cidade de Santa Maria é verificada a aplicabilidade da metodologia de ajuda a decisão desenvolvida visando a seleção da fonte de geração de energia elétrica mais apropriada a ser utilizada no aterro em questão. Por fim, deve-se enfatizar que a partir dos aperfeiçoamentos alcançados durante o desenvolvimento desta tese, foi possível construir uma metodologia de ajuda a decisão genérica que pode ser aplicada não somente na seleção de sistemas de geração de energia em aterros, mas também na seleção de quaisquer sistemas de geração e armazenamento de energia, desde que todos os aspectos envolvidos no processo decisório sejam devidamente incorporados no problema em questão.

Pakistan, though being one of the most rich in renewable energy resources, faces serious energy crises and has a shortfall of about 6 GW electric energy. Most of the resources are untapped until today. The fuel for electricity production is being imported and is of high cost. The government is trying to fulfill the energy requirements of the industries and urban areas where rural areas are at the lowest priority. Pakistan was hit by flood disaster in 2010. There are number of organizations, governmental and private, that are trying to provide shelters and basic necessities to the flood affecties even until today. Village Goth Mehdi Farm in Sajawal area of Sindh is one of the examples of a newly built village for the flood affecties. It has been built with the help of Pakistan Navy, however, the village is bereft of electricity. This report presents three different designs for the electrification of the flood affected village, consisting of 20 houses, a mosque, a community centre, toilets and street lighting, in Sajawal, Pakistan by utilizing available renewable energy resources using sustainability approach. Supply of clean water and energy for cooking purposes was also investigated. However, it was identified in the site visit that villagers were using a mechanical hand pump to pump the underground clean water for daily usage which did not require further alternative. The village is surrounded by wheat fields and trees, and villagers used wood as fuel for cooking. Dehydrated animal dung of cattle was also used as fuel source. The Sajawal area is located in the wind corridor of Sindh and also receives sun light of high insolation level. Thus, wind turbine (WT) or/and PV module can be used for electricity generation, respectively. Based on such advantages three electricity generating systems are proposed. Option #1: solar energy by using 19 kilowatt Photovoltaic (PV) system with off grid inverter and battery bank to cater the load of the village, Option #2: wind energy by using 20 kilowatt wind turbine with a battery backup and Option #3: hybrid PV and WT system with 5.8 kilowatt PV system combine with 10 kilowatt wind turbine and battery backup. These systems have been designed by keeping social, economical and environmental aspects in account. The financial comparison showed that the option # 1 required highest amount of capital cost with respect to other options, while option # 3 needed lowest initial investment for installation. Moreover Option 1, solar system, was found to be the most expensive option when battery replacements (every 3 years) were considered over a 20 years life time. Option 3, hybrid wind and solar system, was concluded to be the most economical solution for the Goth Mehdi farms.