Potential of building automation system towards efficient energy management of healthcare buildings

Mohamed Fazly Eusoff and Mohd Rodzi Ismail

International Journal of Energy Technology and Policy, 2015, vol. 11, issue 2, 142-164

Abstract: An energy management tool in a form of a contour chart of building automation system (BAS) data was presented to assist a healthcare building in monitoring the air-conditioning and mechanical ventilation (ACMV) energy performance. The contour charts were interpreted using a diagnostic guide based on a qualitative model-based fault detection and diagnosis (FDD) method. Rule-based technique was applied on zone temperature data in order to extract the estimated air handling unit (AHU) fan-extended-hours. The AHUs' estimated fan-extended-hours and zone temperature averages represented the measured BAS faults. An eQuest energy model incorporating the faults was calibrated to an energy consumption of 5,757,600 kWh/year with mean bias error (MBE) = 2.83% and coefficient of variation (root mean squared error) CV(RMSE) = 1.82%. Using the calibrated model, building energy performance simulation (BEPS) indicated a conservative potential saving of 400,200 kWh/year (6.95%) by simulating fault-free BAS zone temperature control and fan shutdown.

Keywords: building automation systems; BAS; energy efficiency; eQuest; air conditioning; mechanical ventilation; ACMV; data visualisation; fault detection; fault diagnosis; FDD; healthcare buildings; Malaysia; hospitals; energy management; contour charts; zone temperature; energy consumption; building energy performance; simulation; fan shutdown. (search for similar items in EconPapers)
Date: 2015
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