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Princeton Club

Overview Princeton Club

The project snapshot page provides a quick overview of the performance of the DER project. Hover over individual key performance indicators to see a definition.

Performance Snapshot

Feb 2011 to Apr 2015
5,048
MWh
electricity generated
Capacity
Factor
77,552
Mcf
generator fuel consumed
Electric
Efficiency
33,517
MMBtu
heat used
Thermal
Efficiency
CHP
Efficiency

The project monthly summary table provides measured data and key performance indicators for the DER project.

To view data for another date range, select your desired months and press “Go”.

To download data from the monthly summary table in CSV format, press the download button to the top right of the table.

Automated data filtering can be enabled or disabled via the control. Filtered data automatically checks to determine if the energy streams measured are consistent with each other (e.g. fuel consumption or heat recovery are reported only when a DER is reporting generated power). Disabling this control shows all data available.

Summary Table

Feb 2011 to Apr 2015
Electricity Generated (MWh) Total Fuel Consumed (Mcf) Total Heat Used (MMBtu) Heat Rejected (MMBtu) Capacity Factor (%) Electric Efficiency (% HHV) Thermal Efficiency (% HHV) CHP Efficiency (% HHV)
Total 5,048 77,552 33,517 9,971 45.7 21.5 41.9 63.4
Feb 2011
0 < 1 0 < 1 0.0 0.0 0.0 0.0
Mar 2011
< 1 9 0 4 0.3 21.5 0.0 21.5
Apr 2011
71 693 0 543 32.9 33.9 0.0 33.9
May 2011
85 898 0 638 38.0 31.3 0.0 31.3
Jun 2011
118 1,338 0 242 54.6 29.2 0.0 29.2
Jul 2011
81 1,258 85 155 36.4 21.4 6.5 27.9
Aug 2011
104 1,615 643 202 46.8 21.4 38.5 59.9
Sep 2011
107 1,683 732 139 49.4 21.0 42.1 63.1
Oct 2011
106 1,631 173 682 47.3 21.4 10.3 31.7
Nov 2011
109 1,671 151 730 50.3 21.5 8.7 30.3
Dec 2011
113 1,719 258 663 50.5 21.7 14.6 36.2
Jan 2012
96 1,486 636 157 43.1 21.4 41.4 62.9
Feb 2012
85 1,309 517 180 40.9 21.6 38.3 59.8
Mar 2012
109 1,645 542 369 48.8 21.9 31.9 53.8
Apr 2012
125 1,700 492 463 57.8 24.3 28.1 52.4
May 2012
148 2,034 618 495 66.4 24.1 29.4 53.5
Jun 2012
123 1,711 896 51 57.0 23.8 50.7 74.5
Jul 2012
132 1,852 976 69 59.4 23.7 51.0 74.7
Aug 2012
133 1,867 1,053 71 59.6 23.6 54.7 78.2
Sep 2012
118 1,650 971 40 54.5 23.6 57.0 80.6
Oct 2012
33 1,824 1,019 91 14.9 6.0 54.1 60.1
Nov 2012
< 1 1,821 1,084 57 0.2 0.1 57.7 57.7
Dec 2012
31 1,932 867 270 13.9 5.3 43.5 48.8
Jan 2013
39 1,587 859 83 17.6 8.2 52.5 60.6
Feb 2013
67 1,197 704 16 33.0 18.4 57.0 75.4
Mar 2013
124 1,706 900 70 55.5 24.0 51.1 75.2
Apr 2013
102 1,714 924 65 47.3 19.7 52.2 71.9
May 2013
96 1,675 890 66 43.0 18.9 51.5 70.4
Jun 2013
96 1,522 820 39 44.3 20.8 52.2 73.0
Jul 2013
126 1,780 929 48 56.6 23.5 50.6 74.1
Aug 2013
127 1,780 994 5 56.8 23.6 54.1 77.7
Sep 2013
120 1,693 829 96 55.7 23.5 47.4 70.9
Oct 2013
129 1,820 455 539 57.6 23.4 24.2 47.5
Nov 2013
130 1,780 332 633 60.2 24.2 18.1 42.3
Dec 2013
126 1,722 492 432 56.5 24.2 27.7 51.9
Jan 2014
134 1,795 825 208 60.0 24.7 44.5 69.2
Feb 2014
112 1,501 720 142 55.8 24.8 46.5 71.2
Mar 2014
135 1,825 877 229 60.5 24.5 46.5 71.0
Apr 2014
123 1,704 926 55 56.7 23.8 52.7 76.5
May 2014
132 1,860 1,018 17 58.9 23.4 53.0 76.4
Jun 2014
118 1,683 997 4 54.4 23.1 57.4 80.5
Jul 2014
17 247 130 2 7.8 23.2 50.8 74.1
Aug 2014
68 975 561 4 30.2 22.9 55.8 78.7
Sep 2014
98 1,314 830 7 45.5 24.7 61.2 85.9
Oct 2014
97 1,424 809 5 43.5 22.5 55.0 77.6
Nov 2014
72 1,012 503 85 33.5 23.6 48.1 71.8
Dec 2014
127 1,768 718 283 57.1 23.8 39.3 63.2
Jan 2015
131 1,802 1,004 68 58.7 24.0 54.0 78.0
Feb 2015
111 1,558 955 11 54.9 23.5 59.4 82.9
Mar 2015
137 1,958 1,092 98 61.3 23.1 54.0 77.1
Apr 2015
127 1,804 715 353 60.7 23.2 38.4 61.6

Production data is not in real time and may be delayed as data is periodically reported and uploaded to this website.

Data Displayed:

The monthly summary plot shows monthly sums of measured data and monthly averages of key performance indicators.

To view data for another date range, select your desired months and press “Go”.

To download data used to create the monthly summary plot in CSV format, press the download button to the top right of the chart.

Automated data filtering can be enabled or disabled via the control. Filtered data automatically checks to determine if the energy streams measured are consistent with each other (e.g. fuel consumption or heat recovery are reported only when a DER is reporting generated power). Disabling this control shows all data available.

Click on legend entries below the plot, if present, to show or hide data.

Data Displayed

Production data is not in real time and may be delayed as data is periodically reported and uploaded to this website.

Data Displayed:

The time series plot shows averages of measured data and key performance indicators. The plot can be switched between the daily and hourly time steps, to adjust the level of averaging displayed.

To view data for another date range or time step, select your desired dates and time step and press “Go”. Due to performance constraints, hourly data may only be displayed within a date range of up to one month in length.

To download data used to create the time series plot in CSV format, press the download button to the top right of the chart.

Automated data filtering can be enabled or disabled via the control. Filtered data automatically checks to determine if the energy streams measured are consistent with each other (e.g. fuel consumption or heat recovery are reported only when a DER is reporting generated power). Disabling this control shows all data available.

Click on legend entries below the plot, if present, to show or hide data.

Data Displayed

Times are shown in Eastern Time (ET) and are adjusted to reflect Daylight Saving Time (DST).

Production data is not in real time and may be delayed as data is periodically reported and uploaded to this website.

Data Displayed:

The ambient temperature plot shows averages of measured data and key performance indicators versus ambient temperature.

To view data for another date range or time step, select your desired dates and time step and press “Go”. Due to performance constraints, hourly data may only be displayed within a date range of up to one month in length.

To download data used to create the ambient temperature plot in CSV format, press the download button to the top right of the chart.

Automated data filtering can be enabled or disabled via the control. Filtered data automatically checks to determine if the energy streams measured are consistent with each other (e.g. fuel consumption or heat recovery are reported only when a DER is reporting generated power). Disabling this control shows all data available.

Click on legend entries below the plot, if present, to show or hide data.

Data Displayed
Ambient Temperature data provided by NOAA at weather.govLink opens in new window - close new window to return to this page.

Production data is not in real time and may be delayed as data is periodically reported and uploaded to this website.

The project performance benchmark page shows how the DER project performs compared to similar-sized projects using the same technology in the same facility category. The key performance index used for benchmarking can be changed by selecting the desired rating from the table headings at the bottom of the page. Clicking on each result in the distribution will bring up the name and link to other related facilities.

To view data for another date range, select your desired months and press “Go”.

Note that benchmarking only occurs on data with automated data filtering on, to ensure consistent ranking results.

CHP
Efficiency
Thermal
Efficiency
Electric
Efficiency
Capacity
Factor
Electric
Generation
Princeton Club 63.4 % 41.9 % 21.5 % 45.7 % 5,048 MWh
Top Peer 63.7 % 39.7 % 24.0 % 44.7 % 2,838 MWh
Average Peer 52.1 % 28.0 % 24.1 % 51.3 % 5,089 MWh

Peer Criteria

  • Technology: CHP
  • Generation Capacity: Medium (250-1000 kW)
  • Facility Category: Lodging
  • Total Peers in Group: 9

The project monthly CHP performance rating plot shows overall CHP performance and highlights periods for potential performance improvement.

To view data for another date range, select your desired months and press “Go”.

To download data used to create the monthly CHP performance rating plot in CSV format, press the download button to the top right of the chart.

Note that rating only occurs on data with automated data filtering on, to ensure consistent ranking results.

The peak demand reduction shows the contribution of the CHP system to reducing the utility grid peak demand, and other calculations that were utilized in previous NYSERDA CHP performance programs. The peak demand reduction (kWP) is defined as the average CHP output during the period spanning May 1 through October 31, Monday through Friday, 12:00 Noon to 6:00 PM. Federal holidays are excluded from this period.

The total generation (kWhA) is defined as the total net CHP generation during the period evaluated.

The two CHP efficiencies (FCECHP) are program specific, and differ slightly from the conventional CHP efficiency.

The 2013 CHP systems manual defines FCECHP as the combined net electrical and useful heat recovery divided by the fuel input at 1,032 BTU/CF HHV, however the useful heat recovery is divided by a displaced boiler efficiency of 80%.

The 2010 CHP systems manual defines FCECHP as the combined net electrical and useful heat recovery divided by the fuel input at 928 BTU/CF LHV. No displaced boiler efficiency is assumed in the FCECHP calculation.

CHP Performance Program Metrics

Feb 2011 to Apr 2015
Peak Demand Reduction (kWP)
142
kW
Total Generation (kWhA)
5,048,184
kWh
Heat Recovered
33,517
MMBtu
Gas Consumed
77,552
Mcf
FCECHP

FCECHP 2013 =
[(WG × 3.413) + (QU / 0.8)] / [FG × 1.032]

73.9
% HHV
FCECHP

FCECHP 2006–2010 =
[(WG × 3.413) + QU] / [FG × 0.928]

70.5
% LHV

Use this page to download all measured performance data for a DER project in CSV format. Select your desired date range and time step, then press the “Download” button to save the data file to your computer.

Download Data

To download performance data, select your desired date range and time step, then click the Download button.

Production data is not in real time and may be delayed as data is periodically reported and uploaded to this website.