Eventos Anais de eventos
COBEM 2023
27th International Congress of Mechanical Engineering
Diagnostic model for energy performance in the industry: Case study of micro and small companies
Submission Author:
Lara Werncke Vieira , RS
Co-Authors:
Lara Werncke Vieira, Renata Rech de Souza, Paola Mendes Albino, Paulo Smith Schneider
Presenter: Lara Werncke Vieira
doi://10.26678/ABCM.COBEM2023.COB2023-1521
Abstract
The need to combine energy consumption with increasingly stringent environmental control requirements pushed industries to ally environmental requirements and economy to maintain competitiveness. The Brazilian industrial sector consumes approximately one-third of all electricity generated in the country. This work proposes a diagnostic model to analyze the energy consumption of industries in order to increase performance. The development of a comprehensive energy performance diagnostic model requires careful consideration of specific industry standards, regulations, and data availability. The methodology starts with data collection related to energy consumption, production processes, equipment specifications, operational practices, and other relevant variables from the companies being assessed. The second step is data pre-processing to clean and preprocess the collected data to ensure accuracy and consistency. The variables are separated by equipment, operation, regime, and analysis group. The company's data is compared against an extensive reference database that serves as a benchmark. The industry's performance is the result of the differences accounted for between the ideal and the current situation of the company. The analysis identifies the most relevant features or variables that impact energy performance. Results provide insights into the variables that affect energy performance, identify key drivers of energy consumption, areas of improvement, and suggest energy-saving measures. A total of 122 variables were analyzed and divided into six different groups: motors, compressed air systems, equipment, lighting, air conditioning, and electrical systems. The diagnostic model was applied to 77 micro and small companies in four different Brazilian states: RO, RN, GO, and SC. The mean energy performance of the companies was 60.21%, while the states presented the following results of energy performance: RO 68.67%, RN 50.75%, GO 56.60%, and SC 65.26%. The diagnostic results lead the companies through the adoption of strategic actions for improving energy performance.
Keywords
Energy Conservation, energy efficiency, Energy consumption, Performance Analysis
