Open AccessUSE OF STATISTICAL CORRELATION FOR ENERGY MANAGEMENT IN OFFICE PREMISES ADOPTING TECHNIQUES OF THE INDUSTRY 4.0
Author(s) -
Monica Hernandez Luna,
R. Robledo-Fava,
Pedro Fernández de Córdoba Castellá,
Ángel Paredes,
Humberto Michinel,
Sonia Zaragoza
Publication year - 2018
Publication title -
dyna
Language(s) - English
Resource type - Journals
eISSN - 1989-1490
pISSN - 0012-7361
DOI - 10.6036/8844
Subject(s) - automation , energy consumption , control (management) , measure (data warehouse) , service (business) , consumption (sociology) , computer science , statistical analysis , linear regression , operations management , tertiary sector of the economy , cloud computing , energy (signal processing) , environmental economics , operations research , manufacturing engineering , industrial engineering , engineering , statistics , business , data mining , mathematics , economics , marketing , artificial intelligence , mechanical engineering , electrical engineering , social science , machine learning , sociology , operating system
We present a statistical analysis of correlations between carbon dioxide concentration and energy consumption in workplaces, with the goal of enabling its eventual programming in energy platforms In Cloud for improving management and enhancing automation and control in the service sector industry. A low-cost system is used to measure and transmit the data of buildings and the information can be analyzed by any remote device. The study includes data measured during one year in two offices located at Sada (A Coruña, Spain) and Clayton (Panama). We present linear and nonlinear regression curves, show that there are significant positive correlations and discuss seasonal and climate-related aspects. We argue that this kind of analysis can provide useful information for the design and operation in the service industry, through web-based energy platforms for control and automation.Keywords: Industry 4.0, intelligent energy platforms, energy consumption, statistical analysis, automation of facilities, control of facilities.