A prototype for on-line monitoring and control of energy performance for renewable energy buildings

Benjamin Paris*, Julien Eynard, Gregory Francois, Thierry Talbert, Monique Polit

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this article, ways for improving the energetic performance of buildings are investigated. A state of the art leads to the introduction of a performance indicator expressed in kWh/m2/yr. To improve the value of this indicator, a processor-based prototype of a real-time data-acquisition and monitoring system is developed in collaboration with two industrial companies. The set of measurements and corresponding sensors that are necessary to compute the value of the indicator while being consistent with the natural segmentation of energy consumption, is listed, thanks to the representation of the building using a systemic approach. Control algorithms are tested in simulation to improve renewable energy consumption while reducing fossil energy dependence, which are deemed to be applicable in practice using the proposed electronics. Simulations concerning the control and optimization of the power applied to two warmers in a room show large potential for fossil energy consumption reduction.

Original languageEnglish
Title of host publicationICINCO 2008 - 5th International Conference on Informatics in Control, Automation and Robotics, Proceedings
Pages125-130
Number of pages6
VolumeSPSMC
Publication statusPublished - 2008
Event5th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2008 - Funchal, Madeira, Portugal
Duration: 11 May 200815 May 2008

Conference

Conference5th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2008
Country/TerritoryPortugal
CityFunchal, Madeira
Period11/05/0815/05/08

Keywords

  • Control algorithms
  • Energy performance indicators
  • High efficiency buildings
  • Monitoring system
  • Optimal control
  • Predictive control
  • Renewable energies
  • Smart transducers

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