28.10.2014 Views

Fault Detection and Diagnostics for Rooftop Air Conditioners

Fault Detection and Diagnostics for Rooftop Air Conditioners

Fault Detection and Diagnostics for Rooftop Air Conditioners

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

101<br />

5. Three case studies were investigated to validate the proposed approaches.<br />

(Deliverable 2.1.5). One case study provided initial validation of the decouplingbased<br />

FDD approach using laboratory data where single faults were artificially<br />

introduced into a 3-ton Trane rooftop unit (RTU) with a fixed-orifice as the<br />

expansion device. The second case study demonstrated the whole FDD<br />

methodology by artificially introducing multiple-simultaneous faults into the<br />

Purdue field emulation site, where a 5-ton York RTU with a TXV as the expansion<br />

device is installed. Finally, the decoupling-based FDD approach was applied to<br />

Cali<strong>for</strong>nia field sites.<br />

6. Finally, an initial economic assessment of the proposed FDD technique was<br />

per<strong>for</strong>med. Conservative estimates of the lifetime net savings ranged from $4,000<br />

to $10,000 per RTU, with annual net savings ranging from $400 to $1,000 <strong>and</strong> a<br />

payback period of less than one year.<br />

Research on further improvements <strong>and</strong> evaluations of the FDD methodology will<br />

continue as follows:<br />

1. Obtain more detailed RTU in<strong>for</strong>mation <strong>for</strong> all the Cali<strong>for</strong>nia field sites <strong>and</strong> apply<br />

the proposed FDD technique more completely to these field sites.<br />

2. Further improve the per<strong>for</strong>mance of the unified FDD technique by improving the<br />

modeling approach that is based on manufacturers’ data <strong>and</strong> find an efficient <strong>and</strong><br />

practical way to tune these models using low-cost sensors. Improve other virtual<br />

sensors’ per<strong>for</strong>mance <strong>and</strong> consider trying to remove pressure <strong>and</strong> humidity sensors.<br />

3. Improve the overall per<strong>for</strong>mance model <strong>for</strong> assessing per<strong>for</strong>mance degradations of<br />

packaged air conditioning equipment under faulty operation using limited sensor<br />

<strong>and</strong> manufacturers’ rating data.<br />

4. Exp<strong>and</strong> the service cost database <strong>and</strong> build a more detailed economic assessment<br />

model to more accurately evaluate the potential savings associated with the FDD<br />

technique <strong>and</strong> to provide guidelines <strong>for</strong> the fault evaluation <strong>and</strong> decision step.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!