Autor(es)

Guillardi Junior, Hildo

• Tipo de documento: Artigo Científico
• Fonte: ENERGY INFORMATICS, EI.A 2023, PT II; v. 14468, p. 11-pg., 2024-01-01.

Resumo

Data plays a crucial role in understanding several problems, including those related to electrical micro, smart grids and power consumption. In addition to electrical meters, data can be sourced from different channels such as environmental conditions, user expertise, maintenance history, and inventory registries. This paper introduces a Pythonbased analysis tool designed to search for equipment categories that exhibit constant power consumption within the asset inventory database of the University of Campinas. The software effectively identifies and categorizes items as air conditioners, refrigerators, computers, uninterrupted power supplies and internet routers, providing detailed insights into their specific characteristics. The tool generates a comprehensive PDF report featuring item discrimination through values, charts, organized and university units. Additionally, the software incorporates identification item lists and logs, aiding in the identification of missing or mismatched data throughout the process. These reports has been utilized to establish internal guidelines for optimizing in power consumption and already help the university to improve its GreenMetric index. (AU)

• Processo FAPESP: 20/16635-9 - Gerenciamento de energia elétrica em redes de distribuição através do conceito de usinas virtuais
• Beneficiário: Hildo Guillardi Júnior
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 21/11380-5 - CPTEn - Centro Paulista de Estudos da Transição Energética
• Beneficiário: Luiz Carlos Pereira da Silva
• Modalidade de apoio: Auxílio à Pesquisa - Centros de Ciência para o Desenvolvimento
• Processo FAPESP: 16/08645-9 - Pesquisas interdisciplinares em redes inteligentes de energia elétrica
• Beneficiário: João Bosco Ribeiro do Val
• Modalidade de apoio: Auxílio à Pesquisa - Temático