Building fan coil electric consumption analysis with fuzzy approaches for fault detection and diagnosis

F. Lauro, F. Moretti, A. Capozzoli, I. Khan, S. Pizzuti, M. Macas, S. Panzieri

Research output: Contribution to conferencePaper

13 Citations (Scopus)

Abstract

In the building energy efficiency field, developing automatic and accurate fault detection and diagnosis methods is necessary in order to ensure optimal operations of systems and to save energy. In this paper first, fault detection analysis based on statistical methods where anomalies are detected through a comparison with neighborhood and averaged fault-free values and through a clustering technique is performed. Following the fault detection step, a fault diagnosis analysis based on fuzzy sets and fuzzy logic is implemented. Experimentation is carried out over a one day monitoring data set in December 2013 for the fan coil electric consumption of an actual office building located at ENEA 'Casaccia' Research Centre. Results show the effectiveness of proposed approaches in automatic detection and diagnosis of abnormal building fan coil electric consumption.
Original languageEnglish
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event6th International Conference on Sustainability in Energy and Buildings, SEB 2014 - Cardiff, Wales, United Kingdom
Duration: 1 Jan 2014 → …

Conference

Conference6th International Conference on Sustainability in Energy and Buildings, SEB 2014
CountryUnited Kingdom
CityCardiff, Wales
Period1/1/14 → …

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Energy(all)

Cite this

Lauro, F., Moretti, F., Capozzoli, A., Khan, I., Pizzuti, S., Macas, M., & Panzieri, S. (2014). Building fan coil electric consumption analysis with fuzzy approaches for fault detection and diagnosis. Paper presented at 6th International Conference on Sustainability in Energy and Buildings, SEB 2014, Cardiff, Wales, United Kingdom. https://doi.org/10.1016/j.egypro.2014.12.403