Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. A Multi-sensor Office-building Database for Experimental Validation and Advanced Control Algorithm Development
 
research article

A Multi-sensor Office-building Database for Experimental Validation and Advanced Control Algorithm Development

Zarkadis, Nikos  
•
Ridi, Antonio
•
Morel, Nicolas  
2014
Procedia Computer Science

Data from multiple sensors and actuators has been recorded from December 2001 to March 2008 at the LESO-PB building of the EPFL campus, using the EIB/KNX bus standard. Sensors and actuators provided data on room temperature, presence, lighting level, windows opening, blinds position, electric lights and heating power. Weather data has also been collected and includes ambient temperature, solar radiation on a horizontal surface (direct and diffuse components), wind speed and direction and rain alarm. The data was written continuously to a MySQL database, each EIB/KNX telegram being recorded into the database. The primary goal of that setup was the experimental validation and checking of advanced control algorithms for the actuation of solar shadings (outside fabric blinds), electric lighting and heating equipment. With the aid of the database it was shown that such control algorithms were able to reduce significantly the energy consumption while keeping the same comfort or even improving it. Since 2002, the database has been used in various research projects carried out in LESO-PB. As of 2014 the database has been made freely accessible to the scientific community as a tool to work on.

  • Details
  • Metrics
Type
research article
DOI
10.1016/j.procs.2014.05.525
Author(s)
Zarkadis, Nikos  
Ridi, Antonio
Morel, Nicolas  
Date Issued

2014

Published in
Procedia Computer Science
Volume

32

Start page

1003

End page

1009

Subjects

smart building database

•

office building

•

sensors

•

actuators

•

machine learning algorithms development & testing

•

public domain

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LESO-PB  
Available on Infoscience
January 22, 2015
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/110481
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés