Indiana University-Purdue University Indianapolis (IUPUI) / The Air Handling Unit (AHU), which serves the entire basement of Engineering
and Technology (ET) building on IUPUI campus, had constant set points of discharge
air temperature and supply air static pressure. Two reset schedules were investigated
to determine which was the best control strategy to minimize energy consumption of
the AHU.
In this research, a gray box model was established to create the baseline of energy
consumption with constant set points and predict the energy savings using two diāµerent
reset schedules. The mathematical model was developed in Engineering Equation
Solver (EES). It was validated using two sets of sub hourly real time data. The model
performance was evaluated employing Mean Absolute Percentage Error (MAPE) and
Root Mean Square Deviation (RMSD).
Additionally, uncertainty propagation identified outside air temperature, supply
airflow rate and return air temperature were the key parameters that had an impact
in overall energy consumption.
Discharge air temperature was reset based on return air temperature (RA-T)
with a linear reset schedule from March 4 to March 7. Static pressure was reset
based on the widest open Variable Air Volume (VAV) box damper from March 20 to
March 23. Results indicated that 17% energy savings was achieved using discharge air
temperature reset while the energy consumption reduced by 7% using static pressure
reset.
| Identifer | oai:union.ndltd.org:IUPUI/oai:scholarworks.iupui.edu:1805/7961 |
| Date | 08 1900 |
| Creators | Li, Jing |
| Contributors | Chen, Jie, Goodman, David, Razban, Ali |
| Source Sets | Indiana University-Purdue University Indianapolis |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
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