OcAPO: Occupancy-aware, PDC control for open-plan, shared workspaces
Passive Displacement Cooling (PDC) has gained popularity as a means of significantly reducing building energy consumption overheads, especially in tropical climates. PDC eliminates the use of mechanical fans, instead using chilled-water heat exchangers to perform convective cooling. In this paper, w...
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sg-smu-ink.sis_research-101822024-08-13T05:28:45Z OcAPO: Occupancy-aware, PDC control for open-plan, shared workspaces RAVI, Anaradha MISRA, Archan Passive Displacement Cooling (PDC) has gained popularity as a means of significantly reducing building energy consumption overheads, especially in tropical climates. PDC eliminates the use of mechanical fans, instead using chilled-water heat exchangers to perform convective cooling. In this paper, we evaluate the impact of different parameters affecting occupant comfort in a 1000m2 open-floor area (consisting of multiple zones) of a ZEB (Zero Energy Building) deployed with PDC units and tackle the problem of setting the temperature setpoint of the PDC units to assure occupant thermal comfort. We tackle two key practical challenges: (a) the zone-level (i.e., occupant-experienced) temperature differs significantly, depending on occupancy levels, from that measured by the ceiling-mounted thermal sensors that drive the PDC control loop, and (b) sparsely deployed sensors are unable to distinguish between ambient temperature variations across neighboring zones. Using extensive real-world measurement data (collected over 60 days), we devise a trace-based model that helps identify the optimum combination of PDC setpoints, collectively across multiple zones, while accommodating variations in the occupancy levels and weather conditions. We deploy OcAPO on our real-world testbed to demonstrate its efficacy: while OcAPO reliably assures occupancy comfort within a tolerance of 0.2°C, the current practice of occupancy-agnostic rule-based setpoint control violates this tolerance value 75.2% of the time. 2023-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/9177 info:doi/10.1109/DCOSS-IoT58021.2023.00030 https://ink.library.smu.edu.sg/context/sis_research/article/10182/viewcontent/DCOSS_IoT___PDC_Setpoint_Control.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University HVAC control Occupancy estimation Smart building management Thermal comfort Civil and Environmental Engineering Software Engineering |
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HVAC control Occupancy estimation Smart building management Thermal comfort Civil and Environmental Engineering Software Engineering RAVI, Anaradha MISRA, Archan OcAPO: Occupancy-aware, PDC control for open-plan, shared workspaces |
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Passive Displacement Cooling (PDC) has gained popularity as a means of significantly reducing building energy consumption overheads, especially in tropical climates. PDC eliminates the use of mechanical fans, instead using chilled-water heat exchangers to perform convective cooling. In this paper, we evaluate the impact of different parameters affecting occupant comfort in a 1000m2 open-floor area (consisting of multiple zones) of a ZEB (Zero Energy Building) deployed with PDC units and tackle the problem of setting the temperature setpoint of the PDC units to assure occupant thermal comfort. We tackle two key practical challenges: (a) the zone-level (i.e., occupant-experienced) temperature differs significantly, depending on occupancy levels, from that measured by the ceiling-mounted thermal sensors that drive the PDC control loop, and (b) sparsely deployed sensors are unable to distinguish between ambient temperature variations across neighboring zones. Using extensive real-world measurement data (collected over 60 days), we devise a trace-based model that helps identify the optimum combination of PDC setpoints, collectively across multiple zones, while accommodating variations in the occupancy levels and weather conditions. We deploy OcAPO on our real-world testbed to demonstrate its efficacy: while OcAPO reliably assures occupancy comfort within a tolerance of 0.2°C, the current practice of occupancy-agnostic rule-based setpoint control violates this tolerance value 75.2% of the time. |
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RAVI, Anaradha MISRA, Archan |
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RAVI, Anaradha MISRA, Archan |
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RAVI, Anaradha |
title |
OcAPO: Occupancy-aware, PDC control for open-plan, shared workspaces |
title_short |
OcAPO: Occupancy-aware, PDC control for open-plan, shared workspaces |
title_full |
OcAPO: Occupancy-aware, PDC control for open-plan, shared workspaces |
title_fullStr |
OcAPO: Occupancy-aware, PDC control for open-plan, shared workspaces |
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OcAPO: Occupancy-aware, PDC control for open-plan, shared workspaces |
title_sort |
ocapo: occupancy-aware, pdc control for open-plan, shared workspaces |
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Institutional Knowledge at Singapore Management University |
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2023 |
url |
https://ink.library.smu.edu.sg/sis_research/9177 https://ink.library.smu.edu.sg/context/sis_research/article/10182/viewcontent/DCOSS_IoT___PDC_Setpoint_Control.pdf |
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