A PID Inspired Feature Extraction for HVAC Terminal Units

Conference item


Dey, M, Gupta, M, Rana, S., Turkey, M and Dudley, S (2017). A PID Inspired Feature Extraction for HVAC Terminal Units. IEEE Conference on Technologies for Sustainability (SusTech 2017). Phoenix, Arizona, USA 12 - 14 Nov 2017 London South Bank University.
AuthorsDey, M, Gupta, M, Rana, S., Turkey, M and Dudley, S
Abstract

Retrofitting older buildings and embedding new building stock with Energy Management Systems (BEMS) is paving the way for smarter energy use and increased wellbeing awareness and initiatives for occupants. BEMS can discover problems related to energy wastage, user comfort and building maintenance. Remote analysis and categorization of the different Heating, Ventilation and Air-Conditioning (HVAC) Terminal Unit (TU) behaviours based on a unique set of features using BEMS data is the main aim of the proposed work. Hence, a novel feature extraction method inspired by the Proportional Integral Derivative (PID) controller response curve to define events from TU data is proposed and applied to multidimensional, realtime data streams remotely retrieved from a building based in the city of London. The feature extraction method executing across different TUs and the feature sets obtained, have been used to identify different TU behaviour patterns. Subsequently, unsupervised machine learning has been employed to investigate automated TU fault detection and diagnosis

KeywordsHeating, Ventilation and Air-Conditioning (HVAC); Building Energy Management System (BEMS); Terminal Unit (TU),; Proportional Integral Derivative (PID); Fault Detection and Diagnosis (FDD); Feature Extraction
Year2017
PublisherLondon South Bank University
Accepted author manuscript
License
CC BY 4.0
Publication dates
Print12 Nov 2017
Publication process dates
Deposited11 Oct 2017
Accepted15 Sep 2017
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https://openresearch.lsbu.ac.uk/item/86wy8

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