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Publication
Otimização do consumo de eletricidade do centro de produção de uma indústria cervejeira
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 4.94 MB | Adobe PDF |
Authors
Abstract(s)
Com o crescimento da consciencialização ambiental, a eficiência energética
possui um papel cada vez mais importante para as indústrias. Graças à natureza dos
processos de produção de cerveja, a indústria cervejeira apresenta um consumo de energia
elétrica bastante elevado. Devido ao volume deste consumo acabam por surgir diversas
oportunidades de melhorias. Para garantir que estas acontecem é necessário utilizar
sistemas de gestão/controlo do consumo, adotar as tecnologias mais eficientes, otimizar
os processos e utilizar fontes de energia renováveis. Desta forma, diminuem-se os custos
e ao mesmo tempo mitiga-se o impacto ambiental desta indústria.
Neste contexto, esta dissertação tem como objetivos identificar os grandes
consumidores de eletricidade do Super Bock Group, desenvolver modelos de previsão de
consumo e propor melhorias para os sistemas existentes.
De forma a identificar os grandes consumidores foram analisados os consumos
elétricos das diferentes zonas desde janeiro de 2018 até maio de 2023. As utilidades são
a secção da fábrica que apresenta o peso maior no consumo, destacando-se o sistema de
refrigeração e o de produção e distribuição de ar comprimido (representam cerca de 25 e
10% do consumo total da fábrica, respetivamente). A partir dos dados históricos dos
consumos e das diferentes variáveis identificadas foram desenvolvidos modelos de
previsão do consumo elétrico, mensais e semanais, tanto para a fábrica, como para cada
uma das secções existentes.
Foi desenvolvida uma ferramenta de gestão e monitorização das utilidades, em
Power BI, onde foram inseridos os modelos de previsão, que permitem ao utilizador
entender o estado atual das mesmas e identificar picos de consumo, de uma forma rápida
e fácil.
Através da utilização desta ferramenta, da análise dos sistemas existentes e dos
registos de consumos da empresa foram identificadas algumas propostas de melhoria. A
primeira é a implementação dessa ferramenta e entre as propostas corretivas destacam-se
a diminuição da temperatura do ar admitido aos compressores de ar e a verificação de
fugas, tanto do sistema de distribuição de ar comprimido, como do de dióxido de carbono.
With the growing environmental awareness, energy efficiency plays an increasingly important role for industries. Due to the nature of beer production processes, the brewing industry has a significantly high electricity consumption. Because the volume of the consumption, various opportunities for improvements arise. To ensure that these improvements happen, it is necessary to use consumption management/control systems, adopt the most efficient technologies, optimize processes, and use renewable energy sources. This way, costs are reduced while mitigating the environmental impact of this industry. In this context, the objectives of this dissertation are to identify the major electricity consumers in the Super Bock Group, develop consumption prediction models, and propose improvements for the existing systems. To identify the major consumers, the electricity consumption of different areas has been analyzed from January 2018 to May 2023. Utilities, such as the refrigeration system and the production and distribution of compressed air, represent the largest portion of consumption (approximately 25% and 10% of the total factory consumption, respectively). Using historical consumption data and the identified variables, monthly and weekly electric consumption prediction models were developed for both the factory as a whole and each of the existing sections. A management and monitoring tool for utilities was developed using Power BI. The prediction models were integrated into this tool, allowing users to understand the current state of utilities and identify consumption peaks quickly and easily. By leveraging this tool, conducting an in-depth analysis of existing systems, and examining consumption records, some improvement proposals were identified. The first proposal is the implementation of this tool, and among the corrective proposals, the reduction of the air temperature admitted to the air compressors and the inspection of leaks in both the compressed air distribution system and the carbon dioxide system would increase energy efficiency.
With the growing environmental awareness, energy efficiency plays an increasingly important role for industries. Due to the nature of beer production processes, the brewing industry has a significantly high electricity consumption. Because the volume of the consumption, various opportunities for improvements arise. To ensure that these improvements happen, it is necessary to use consumption management/control systems, adopt the most efficient technologies, optimize processes, and use renewable energy sources. This way, costs are reduced while mitigating the environmental impact of this industry. In this context, the objectives of this dissertation are to identify the major electricity consumers in the Super Bock Group, develop consumption prediction models, and propose improvements for the existing systems. To identify the major consumers, the electricity consumption of different areas has been analyzed from January 2018 to May 2023. Utilities, such as the refrigeration system and the production and distribution of compressed air, represent the largest portion of consumption (approximately 25% and 10% of the total factory consumption, respectively). Using historical consumption data and the identified variables, monthly and weekly electric consumption prediction models were developed for both the factory as a whole and each of the existing sections. A management and monitoring tool for utilities was developed using Power BI. The prediction models were integrated into this tool, allowing users to understand the current state of utilities and identify consumption peaks quickly and easily. By leveraging this tool, conducting an in-depth analysis of existing systems, and examining consumption records, some improvement proposals were identified. The first proposal is the implementation of this tool, and among the corrective proposals, the reduction of the air temperature admitted to the air compressors and the inspection of leaks in both the compressed air distribution system and the carbon dioxide system would increase energy efficiency.
Description
Keywords
Consumo elétrico Eficiência energética Sistema de refrigeração Electricity consumption Energy efficiency Refrigeration system