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<DIV><SPAN class=287222915-04042007><FONT face=Arial color=#0000ff
size=2>Chris:</FONT></SPAN></DIV>
<DIV><SPAN class=287222915-04042007><FONT face=Arial color=#0000ff
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=287222915-04042007><FONT face=Arial color=#0000ff size=2>In
your message and data, It seems there are some misunderstandings about the
EIR-FPLR used in the DOE-2 program. For heat pump application, which adjusts
heating/cooling output by turning on and off the compressor, the value of
EIR-FPLR is the actual heat pump run time during a hour. The definition of PLR
is the ratio of heating/cooling demand to the heating/cooling capacity of the
heat pump during a particular hour. In other word, PLR is the ideal heat pump
run time without considering any cycling loss. Therefore, when PLR drops, the
value of EIR-FPLR will also drop. Due to the cycling loss, the value of EIR-FPLR
is usually larger than the PLR, which means the heat pump has to run a little
longer to offset the cycling loss when providing required heating/cooling.
</FONT></SPAN><SPAN class=287222915-04042007><FONT face=Arial color=#0000ff
size=2>The cycling loss of the heat pump can be determined from its Cycling
Degradation factor (Cd), which is usually available from heat pump
manufacturers.</FONT></SPAN></DIV>
<DIV><SPAN class=287222915-04042007><FONT face=Arial color=#0000ff
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=287222915-04042007><FONT face=Arial color=#0000ff size=2>BTW,
If the fan power has been accounted for in the COP and the indoor fan of
the heat pump will run continuously, you'd better subtract the effect of fan
power when you converting COP to EIR. Otherwise, you may overestimate the
fan energy consumption if you also specify a non-zero fan power in the
simulation since you count the fan power twice by doing so.</FONT></SPAN></DIV>
<DIV><SPAN class=287222915-04042007><FONT face=Arial color=#0000ff
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=287222915-04042007><FONT face=Arial color=#0000ff size=2>Hope
it helps,</FONT></SPAN></DIV>
<DIV><SPAN class=287222915-04042007><FONT face=Arial color=#0000ff
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=287222915-04042007><FONT face=Arial color=#0000ff
size=2>Xiaobing</FONT></SPAN></DIV>
<BLOCKQUOTE dir=ltr style="MARGIN-RIGHT: 0px">
<DIV class=OutlookMessageHeader dir=ltr align=left><FONT face=Tahoma
size=2>-----Original Message-----<BR><B>From:</B> BLDG-SIM@gard.com
[mailto:BLDG-SIM@gard.com]<B>On Behalf Of </B>Chris Jones<BR><B>Sent:</B>
Wednesday, April 04, 2007 9:42 AM<BR><B>To:</B>
BLDG-SIM@gard.com<BR><B>Subject:</B> [BLDG-SIM] DOE2.1e HP HEAT-EIR-FPLR
Problems<BR><BR></FONT></DIV><PRE>I am comparing the default DOE2.1e HP heating curves to the
performance data from various manufacturers. In particular the
EIR-FPLR curve does not fit what the manufacturers show in their
data. The default curve shows the EIR dropping as the part load
ratio drops. My assumption is that PLR = Operating Capacity/Design
Capacity. With the Trane, McQuay, and Waterfurnace data, the EIR
increases as the PLR goes down. I am assuming that part load is a
result of lower flow through the unit or from higher entering dry bulb
temperature. So when I do create my set of heating curves
HEAT-EIR-FT, HEAT-CAP-FT and HEAT-EIR-FPLR, the performance is
significantly worse than with the default DOE2.1e curves.
Am I misinterpreting how to plot the data points for the HEAT-EIR-FPLR
curve? Example from Trane:
COP<X-TAB> </X-TAB>CAP<X-TAB>
</X-TAB><X-TAB>
</X-TAB>EIR<X-TAB>
</X-TAB>Ent
DB<X-TAB> </X-TAB>Ent
WT<X-TAB> </X-TAB>PLR<X-TAB>
</X-TAB>EIR/EIR
Design<X-TAB> </X-TAB>GPM<X-TAB>
</X-TAB>FPLR
4.2<X-TAB> </X-TAB>112000<X-TAB>
</X-TAB>0.238<X-TAB> </X-TAB>68<X-TAB>
</X-TAB><X-TAB>
</X-TAB>68<X-TAB>
</X-TAB><X-TAB>
</X-TAB>1.000<X-TAB>
</X-TAB>1.000<X-TAB> </X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>24.5<X-TAB>
</X-TAB>(1.000, 1.000)
3.1<X-TAB> </X-TAB>62675<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.323<X-TAB>
</X-TAB>70<X-TAB>
</X-TAB>20<X-TAB>
</X-TAB>0.560<X-TAB>
</X-TAB><X-TAB>
</X-TAB>1.355<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>12.1<X-TAB>
</X-TAB>(0.560, 1.355)
3.1<X-TAB> </X-TAB>64639<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.323<X-TAB>
</X-TAB>70<X-TAB>
</X-TAB>20<X-TAB>
</X-TAB>0.577<X-TAB>
</X-TAB><X-TAB>
</X-TAB>1.355<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>18.4<X-TAB>
</X-TAB>(0.577, 1.355)
3.2<X-TAB> </X-TAB>65641<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.313<X-TAB>
</X-TAB>70<X-TAB>
</X-TAB>20<X-TAB>
</X-TAB>0.586<X-TAB>
</X-TAB><X-TAB>
</X-TAB>1.313<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>24.4<X-TAB>
</X-TAB>(0.586, 1.313)
3.3<X-TAB> </X-TAB>71123<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.303<X-TAB>
</X-TAB>70<X-TAB>
</X-TAB>30<X-TAB>
</X-TAB>0.635<X-TAB>
</X-TAB><X-TAB>
</X-TAB>1.273<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>12.1<X-TAB>
</X-TAB>(0.635, 1.273)
3.4<X-TAB> </X-TAB>73541<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.294<X-TAB>
</X-TAB>70<X-TAB>
</X-TAB>30<X-TAB>
</X-TAB>0.657<X-TAB>
</X-TAB><X-TAB>
</X-TAB>1.235<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>18.4<X-TAB>
</X-TAB>(0.657, 1.235)
3.4<X-TAB> </X-TAB>74631<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.294<X-TAB>
</X-TAB>70<X-TAB>
</X-TAB>30<X-TAB>
</X-TAB>0.666<X-TAB>
</X-TAB><X-TAB>
</X-TAB>1.235<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>24.4<X-TAB>
</X-TAB>(0.666, 1.235)
3.5<X-TAB> </X-TAB>79943<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.286<X-TAB>
</X-TAB>70<X-TAB>
</X-TAB>40<X-TAB>
</X-TAB>0.714<X-TAB>
</X-TAB><X-TAB>
</X-TAB>1.200<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>12.1<X-TAB>
</X-TAB>(0.714, 1.200)
3.6<X-TAB> </X-TAB>82643<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.278<X-TAB>
</X-TAB>70<X-TAB>
</X-TAB>40<X-TAB>
</X-TAB>0.738<X-TAB>
</X-TAB><X-TAB>
</X-TAB>1.167<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>18.4<X-TAB>
</X-TAB>(0.738, 1.167)
3.6<X-TAB> </X-TAB>83991<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.278<X-TAB>
</X-TAB>70<X-TAB>
</X-TAB>40<X-TAB>
</X-TAB>0.750<X-TAB>
</X-TAB><X-TAB>
</X-TAB>1.167<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>24.4<X-TAB>
</X-TAB>(0.750, 1.167)
3.7<X-TAB> </X-TAB>88881<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.270<X-TAB>
</X-TAB>70<X-TAB>
</X-TAB>50<X-TAB>
</X-TAB>0.794<X-TAB>
</X-TAB><X-TAB>
</X-TAB>1.135<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>12.1<X-TAB>
</X-TAB>(0.794, 1.135)
3.8<X-TAB> </X-TAB>91903<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.263<X-TAB>
</X-TAB>70<X-TAB>
</X-TAB>50<X-TAB>
</X-TAB>0.821<X-TAB>
</X-TAB><X-TAB>
</X-TAB>1.105<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>18.4<X-TAB>
</X-TAB>(0.821, 1.105)
3.9<X-TAB> </X-TAB>93457<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.256<X-TAB>
</X-TAB>70<X-TAB>
</X-TAB>50<X-TAB>
</X-TAB>0.834<X-TAB>
</X-TAB><X-TAB>
</X-TAB>1.077<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>24.4<X-TAB>
</X-TAB>(0.834, 1.077)
4<X-TAB> </X-TAB>98031<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.250<X-TAB>
</X-TAB>70<X-TAB>
</X-TAB>60<X-TAB>
</X-TAB>0.875<X-TAB>
</X-TAB><X-TAB>
</X-TAB>1.050<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>12.1<X-TAB>
</X-TAB>(0.875, 1.050)
4<X-TAB> </X-TAB>101429<X-TAB>
</X-TAB>0.250<X-TAB> </X-TAB>70<X-TAB>
</X-TAB>60<X-TAB>
</X-TAB>0.906<X-TAB>
</X-TAB><X-TAB>
</X-TAB>1.050<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>18.4<X-TAB>
</X-TAB>(0.906, 1.050)
4.1<X-TAB> </X-TAB>103173<X-TAB>
</X-TAB>0.244<X-TAB> </X-TAB>70<X-TAB>
</X-TAB>60<X-TAB>
</X-TAB>0.921<X-TAB>
</X-TAB><X-TAB>
</X-TAB>1.024<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>24.4<X-TAB>
</X-TAB>(0.921, 1.024)
4.2<X-TAB> </X-TAB>107353<X-TAB>
</X-TAB>0.238<X-TAB> </X-TAB>70<X-TAB>
</X-TAB>70<X-TAB>
</X-TAB>0.959<X-TAB>
</X-TAB><X-TAB>
</X-TAB>1.000<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>12.1<X-TAB>
</X-TAB>(0.959, 1.000)
4.2<X-TAB> </X-TAB>111199<X-TAB>
</X-TAB>0.238<X-TAB> </X-TAB>70<X-TAB>
</X-TAB>70<X-TAB>
</X-TAB>0.993<X-TAB>
</X-TAB><X-TAB>
</X-TAB>1.000<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>18.4<X-TAB>
</X-TAB>(0.993, 1.000)
4.3<X-TAB> </X-TAB>113135<X-TAB>
</X-TAB>0.233<X-TAB> </X-TAB>70<X-TAB>
</X-TAB>70<X-TAB>
</X-TAB>1.010<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.977<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>24.4<X-TAB>
</X-TAB>(1.010, 0.977)
4.4<X-TAB> </X-TAB>116795<X-TAB>
</X-TAB>0.227<X-TAB> </X-TAB>70<X-TAB>
</X-TAB>80<X-TAB>
</X-TAB>1.043<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.955<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>12.1<X-TAB>
</X-TAB>(1.043, 0.955)
4.4<X-TAB> </X-TAB>121041<X-TAB>
</X-TAB>0.227<X-TAB> </X-TAB>70<X-TAB>
</X-TAB>80<X-TAB>
</X-TAB>1.081<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.955<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>18.4<X-TAB>
</X-TAB>(1.081, 0.955)
4.5<X-TAB> </X-TAB>123169<X-TAB>
</X-TAB>0.222<X-TAB> </X-TAB>70<X-TAB>
</X-TAB>80<X-TAB>
</X-TAB>1.100<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.933<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>24.4<X-TAB>
</X-TAB>(1.100, 0.933)
4.5<X-TAB> </X-TAB>126363<X-TAB>
</X-TAB>0.222<X-TAB> </X-TAB>70<X-TAB>
</X-TAB>90<X-TAB>
</X-TAB>1.128<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.933<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>12.1<X-TAB>
</X-TAB>(1.128, 0.933)
4.6<X-TAB> </X-TAB>130957<X-TAB>
</X-TAB>0.217<X-TAB> </X-TAB>70<X-TAB>
</X-TAB>90<X-TAB>
</X-TAB>1.169<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.913<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>18.4<X-TAB>
</X-TAB>(1.169, 0.913)
4.7<X-TAB> </X-TAB>133313<X-TAB>
</X-TAB>0.213<X-TAB> </X-TAB>70<X-TAB>
</X-TAB>90<X-TAB>
</X-TAB>1.190<X-TAB>
</X-TAB><X-TAB>
</X-TAB>0.894<X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB><X-TAB>
</X-TAB>24.4<X-TAB>
</X-TAB>(1.190, 0.894)
Thanks for any help!
</PRE><X-SIGSEP>
<P></X-SIGSEP><FONT face="Courier New, Courier">Chris Jones, P.Eng.<BR>14
Oneida Avenue<BR>Toronto, ON M5J2E3<BR>Tel. 416 203-7465<BR>Fax. 416
946-1005</FONT><PRE>
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