Método de dimensionamento de sistemas autônomos fotovoltaicos de iluminação pública baseado na análise da dinâmica diária de geração e consumo

• Ano de defesa: 2018
• Autor(a) principal: Bandeira, Rafael Henrique
• Orientador(a): Dalla Costa, Marco Antônio
• Banca de defesa: Camponogara, Douglas , Reiter, Renan Diego de Oliveira
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Santa Maria; Centro de Tecnologia
• Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia Elétrica
• Departamento: Engenharia Elétrica
• País: Brasil
• Palavras-chave em Português: Sistemas autônomos fotovoltaicos; Iluminação pública; Painéis solares fotovoltaicos; Banco de baterias; Iluminação a LED
• Palavras-chave em Inglês: Photovoltaic autonomous systems; Street lighting; Photovoltaic solar panels; Battery bank; LED lighting
• Área do conhecimento CNPq: CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
• Link de acesso: http://repositorio.ufsm.br/handle/1/14943

This work presents a method for the analysis and sizing of autonomous photovoltaic systems applied in public lighting using LED lamps. To perform this sizing, daily production and consumption data are used, increasing the reliability of the proposed methodology in relation to methods based on monthly average irradiance. The determination of the daily energy consumption was obtained considering the seasonal variation of the days duration throughout the year. The determination of energy generated by the system considered the various factors that influence generation, such as irradiance, ambient temperature and wind speed. For this purpose, the climatological data provided by the National Institute of Meteorology (INMET) was used for system sizing. Simulations of the systems dimensioned by the method traditionally adopted for autonomous photovoltaic systems and by the daily dynamics of energy production and consumption method were carried out, proposed in this work. The design based on analysis of table data showed a 66% greater solar array panel scaled by the method of monthly averages. The methods were tested for load dimming situations, this can be observed that the method of analysis of the daily production and consumption showed better results, despite using two solar panels, which increases the cost structure. The proposed method showed better results, enabling a reduction of up to 1 kWh of load capacity in some scenarios studied.