Navegando por Autor "MIGUEL, Paulo Augusto Cauchick"
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Item Comparação do Impacto Ambiental duma Usina Elétrica quando Utiliza Motores de Óleo Combustível Pesado e quando Utiliza Motores a Gás(INSTITUTO DE TECNOLOGIA, 2013) SILVA, Wagner Ferreira; CAMPOS, Lucila Maria de Souza; MIGUEL, Paulo Augusto Cauchick; RODRIGUEZ, Jorge Laureano Moya; LEITE, Jandecy Cabral; MAGALHÃES, Edilson MarquesThe study compares the environmental impact of a power plant in the Brazilian Amazon when using heavy fuel oil (HFO) engines and natural gas engines. It analyzes emissions of pollutants such as CO, CO₂, NOx, SOx, and particulate matter, noting that gas engines emit less NOx and SOx but more CO and CO₂ per unit of power supplied.Item Previsão da Eficiência de uma Usina Geradora de Energia Elétrica(INSTITUTO DE TECNOLOGIA, 2014) SILVA, Wagner Ferreira; CAMPOS, Lucila Maria de Souza; MIGUEL, Paulo Augusto Cauchick; MAGALHÃES, Edilson MarquesThe study examines the efficiency reduction of motors in an electricity-generating plant from 2001 to 2013, forecasting efficiency up to 2020. Methods such as exponential, logarithmic, linear, and ARIMA were applied using tools like Excel and SPSS20. Results indicated consistency across models, demonstrating the effectiveness of simple solutions for long-term forecasts. The research underscores the significance of forecasting for strategic and operational planning in thermoelectric plants.Item Previsão do Índice de Emissões de uma Usina Geradora de Eletricidade(INSTITUTO DE TECNOLOGIA, 2015) SILVA, Wagner Ferreira; CAMPOS, Lucila Maria de Souza; MIGUEL, Paulo Augusto Cauchick; RODRÍGUEZ, Jorge Laureano Moya; LEITE, Jandecy Cabral; Prof Dr. Walter Barra JuniorThe study examines the emission indices of an electricity-generating plant from 2001 to 2013, forecasting emissions up to 2020. Methods such as exponential, logarithmic, linear, and ARIMA were applied using tools like Excel and SPSS20. Results indicated an increase in emissions over time, with variations depending on the method used. The research underscores the significance of forecasting for environmental and operational planning in thermoelectric plants, while comparing the effectiveness of different methods.