Evaluation Of Air-Conditioning And Mechanical Ventilation (ACMV) Performance In Ambulatory Care Centre (ACC) Hospital Pulau Pinang
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Date
2015-02
Authors
Eusoff, Mohamed Fazly
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Abstract
ACMV performance for energy demanding facilities such as ACC is heavily dependent on EMCS operation. In general, ACMV performance degraded as faults which could be diagnosed through EMCS data went unnoticed. This research looked for an informative tool to diagnose EMCS status, variables from EMCS data for energy consumption estimation and the energy consumption target for the whole building from optimisation of EMCS. Readily available EMCS data was used to diagnose ACMV performance using data visualisation. Data presented in contour charts helps facility maintenance to detect fault, monitor thermal comfort and assess energy consumption, assuming that the ACMV system has been well maintained. Interpretation of contour charts was guided by EMCS diagnostic guide developed based on a qualitative model-based method. To add value to the qualitative technique, EMCS data was used to estimate energy saving if all faults detected were to be rectified. Energy saving estimation required temperature average and estimated fan extended hour as variables. Calibrated eQuest BEPS had incorporated the two variables for each AHU to simulate whole building energy consumption of 5,757,600 kWh/year with MBE = 2.83% and CV(RMSE) = 1.82%. Multiple simulations with combination of operating temperature and fan operation were compared to the calibrated model. Simulation results supported the guesstimated energy saving from the diagnosed EMCS status as well as established target energy saving of 6.95 % based on optimised EMCS operation. This research demonstrated that EMCS data contour chart is a practical off-line simplified FDD tool to periodically evaluate the ACMV performance.
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Keywords
Air-Conditioning And Mechanical Ventilation (ACMV) Performance , Hospital Pulau Pinang