Eficiência energética de uma fábrica de gelo

• Autor(a) principal: Barros, Naum Oliveira
• Data de Publicação: 2020
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
• Texto Completo: http://www.repositorio.ufc.br/handle/riufc/56354
• topic: Eficiência energética; Redução de custos; Tarifação de energia elétrica; Fábrica de gelo

This work aims to explain an energy efficiency methodology applied to an Ice Factory that aims to develop ice manufacturing activities with a predominance of selling ice in bars and crushed to serve poultry and fish traders in the local region. It is located on the west coast of Ceará, in the municipality of Trairi. Therefore, aiming at an optimization of the electrical system, as well as a reduction of costs in energy bills, it is necessary to carry out an energy efficiency project at the consumer unit. However, some initial concepts of energy efficiency are presented, giving a brief explanation of the standard of energy efficiency procedures, PROPEE, created by the National Electric Energy Agency, ANEEL. These concepts are intended to support the proposal of methodology and data analysis in energy efficiency projects, addressed here in this work. Data were collected, processed and analyzed to determine the potential for energy savings in these facilities as well as the financial attractiveness of the project employed. In order to carry out this analysis, the invoices of the energy bills of the Factory were analyzed in order to carry out a survey of data related to active energy consumption, contracted demand, exceeding demand, tariff modality, factory operating routines and installed load. After the treatment and analysis of these data, some intervention measures were proposed, such as changes in contracted demand and the feasibility of implementing a generator, as well as awareness measures, such as training, qualification and lectures on the conscious use of electric energy. Simulations of the last 12 months were made to predict energy savings.