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St. Lukes Hospital

Overview St. Lukes Hospital

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

Jan 2009 to May 2016
91
GWh
electricity generated
Capacity
Factor
1,087
MMcf
generator fuel consumed
Electric
Efficiency
182
BBtu
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

Jan 2009 to May 2016
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 90,980 1,087,442 181,566 97,670 65.0 27.7 16.2 43.8
Jan 2009
19 327 3 5 1.2 19.6 0.8 20.4
Feb 2009
594 6,501 1,119 561 40.2 30.2 16.7 46.9
Mar 2009
813 7,985 1,441 536 49.7 33.7 17.5 51.2
Apr 2009
681 7,372 1,499 460 43.0 30.6 19.7 50.3
May 2009
0 0 0 0 0.0 0.0 0.0 0.0
Jul 2009
21 307 0 0 1.3 22.5 0.0 22.5
Aug 2009
556 6,196 2 1 33.9 29.7 0.0 29.7
Sep 2009
682 7,876 1,519 1,889 43.0 28.6 18.7 47.3
Oct 2009
913 10,158 2,035 2,953 55.8 29.7 19.4 49.1
Nov 2009
699 8,591 1,448 346 44.1 26.9 16.3 43.2
Dec 2009
820 8,884 2,116 328 50.1 30.5 23.1 53.6
Jan 2010
815 8,934 2,119 617 49.8 30.2 23.0 53.2
Feb 2010
731 8,207 1,747 908 49.5 29.5 20.6 50.1
Mar 2010
478 5,370 1,038 315 29.2 29.4 18.7 48.1
Apr 2010
505 5,630 1,120 985 31.9 29.7 19.3 48.9
May 2010
773 9,067 1,759 956 47.2 28.2 18.8 47.0
Jun 2010
802 10,021 1,382 954 50.6 26.5 13.4 39.8
Jul 2010
1,103 8,380 2,212 1,580 67.4 43.5 25.6 69.1
Aug 2010
1,133 10,687 2,274 1,685 69.2 35.1 20.6 55.7
Sep 2010
819 9,823 1,618 1,310 51.7 27.6 16.0 43.5
Oct 2010
694 8,425 1,442 1,480 42.4 27.2 16.6 43.8
Nov 2010
663 8,203 1,397 1,293 41.8 26.7 16.5 43.2
Dec 2010
1,039 12,036 2,221 1,269 63.5 28.6 17.9 46.4
Jan 2011
1,132 13,098 2,294 1,254 69.2 28.6 17.0 45.6
Feb 2011
762 8,904 1,520 631 51.6 28.3 16.5 44.9
Mar 2011
1,044 12,354 2,127 938 63.8 28.0 16.7 44.6
Apr 2011
905 10,786 1,541 700 57.1 27.7 13.8 41.6
May 2011
1,056 13,163 1,887 796 64.5 26.5 13.9 40.4
Jun 2011
980 11,955 1,546 929 61.9 27.1 12.5 39.6
Jul 2011
1,173 14,466 1,443 1,450 71.7 26.8 9.7 36.5
Aug 2011
1,213 15,031 1,374 1,599 74.1 26.7 8.9 35.6
Sep 2011
790 9,832 925 1,329 49.9 26.6 9.1 35.7
Oct 2011
1,061 13,190 1,584 1,155 64.8 26.6 11.6 38.2
Nov 2011
982 11,975 1,921 1,345 62.0 27.1 15.5 42.7
Dec 2011
1,042 12,475 2,235 437 63.7 27.6 17.4 45.0
Jan 2012
1,188 14,126 2,481 460 72.6 27.8 17.0 44.8
Feb 2012
1,143 12,532 2,355 434 74.6 30.2 18.2 48.4
Mar 2012
1,246 14,093 2,386 714 76.1 29.2 16.4 45.6
Apr 2012
1,401 16,007 2,569 933 88.5 28.9 15.6 44.5
May 2012
1,393 16,319 2,473 1,059 85.1 28.2 14.7 42.9
Jun 2012
1,479 17,584 2,609 1,206 93.3 27.8 14.4 42.2
Jul 2012
1,586 19,141 2,662 1,377 96.9 27.4 13.5 40.9
Aug 2012
1,570 19,131 2,544 1,371 95.9 27.1 12.9 40.0
Sep 2012
1,457 17,594 2,338 1,361 92.0 27.4 12.9 40.3
Oct 2012
1,357 16,209 2,289 1,081 82.9 27.7 13.7 41.4
Nov 2012
1,416 16,565 2,713 722 89.4 28.3 15.9 44.1
Dec 2012
1,370 15,644 2,705 588 83.7 29.0 16.8 45.7
Jan 2013
1,245 14,243 2,537 531 76.1 28.9 17.3 46.2
Feb 2013
1,201 13,647 2,683 853 81.2 29.1 19.1 48.2
Mar 2013
1,385 15,786 3,047 1,601 84.6 29.0 18.7 47.7
Apr 2013
1,399 16,202 2,945 1,429 88.3 28.6 17.6 46.2
May 2013
1,458 17,299 2,855 1,768 89.1 27.9 16.0 43.9
Jun 2013
1,274 15,429 2,635 1,674 80.4 27.3 16.6 43.9
Jul 2013
1,087 13,086 2,427 4,123 66.4 27.5 18.0 45.5
Aug 2013
899 10,702 1,936 2,319 54.9 27.8 17.5 45.3
Sep 2013
1,193 14,415 2,318 1,689 75.3 27.4 15.6 43.0
Oct 2013
1,346 16,270 2,435 1,533 82.3 27.4 14.5 41.9
Nov 2013
973 11,507 2,189 1,380 61.4 28.0 18.4 46.4
Dec 2013
1,283 14,871 2,506 1,021 78.4 28.5 16.3 44.9
Jan 2014
1,322 15,127 2,730 839 80.8 28.9 17.5 46.4
Feb 2014
1,074 12,436 2,298 868 72.7 28.6 17.9 46.5
Mar 2014
1,478 17,018 3,062 1,441 90.3 28.7 17.4 46.2
Apr 2014
1,372 16,181 2,782 1,766 86.6 28.0 16.7 44.7
May 2014
1,104 13,591 2,192 1,437 67.4 26.9 15.6 42.5
Jun 2014
717 9,585 1,711 2,124 45.2 24.7 17.3 42.0
Jul 2014
769 10,585 1,848 2,842 47.0 24.0 16.9 40.9
Aug 2014
1,272 16,478 2,603 840 77.7 25.5 15.3 40.8
Sep 2014
1,400 17,944 2,722 1,011 88.4 25.8 14.7 40.5
Oct 2014
1,339 16,922 2,556 914 81.8 26.2 14.6 40.8
Nov 2014
1,229 15,270 2,510 1,391 77.6 26.6 15.9 42.5
Dec 2014
1,309 16,069 2,857 1,677 80.0 26.9 17.2 44.2
Jan 2015
1,449 17,537 3,221 1,484 88.5 27.3 17.8 45.1
Feb 2015
1,068 12,816 2,436 677 72.2 27.6 18.4 46.0
Mar 2015
1,436 17,332 3,471 549 87.7 27.4 19.4 46.8
Apr 2015
1,298 16,003 2,903 571 81.9 26.8 17.6 44.4
May 2015
1,239 15,778 2,551 608 75.7 26.0 15.7 41.6
Jun 2015
946 12,001 1,722 564 59.7 26.1 13.9 40.0
Jul 2015
1,102 14,459 2,169 401 67.3 25.2 14.5 39.7
Aug 2015
1,150 14,971 2,538 310 70.3 25.4 16.4 41.8
Sep 2015
1,175 15,270 2,512 809 74.2 25.5 15.9 41.4
Oct 2015
1,025 13,697 1,803 866 62.6 24.8 12.8 37.5
Nov 2015
978 12,468 2,163 726 61.7 25.9 16.8 42.7
Dec 2015
820 11,981 1,671 551 50.1 22.6 13.5 36.2
Jan 2016
773 8,739 1,865 4,086 47.2 29.3 20.7 49.9
Feb 2016
666 7,444 1,518 1,507 43.5 29.6 19.8 49.3
Mar 2016
906 11,783 2,397 974 55.3 25.4 19.7 45.1
Apr 2016
1,065 14,216 2,619 1,182 67.2 24.8 17.9 42.6
May 2016
655 9,127 1,592 433 40.0 23.7 16.9 40.6

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
St. Lukes Hospital 43.8 % 16.2 % 27.7 % 65.0 % 90,980 MWh
Top Peer 81.0 % 54.0 % 27.0 % 69.9 % 300,616 MWh
Average Peer 58.3 % 30.8 % 29.7 % 57.5 % 107,154 MWh

Peer Criteria

  • Technology: CHP
  • Generation Capacity: Large (1000+ kW)
  • Facility Category: Health Care (Inpatient)
  • Total Peers in Group: 7

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

Jan 2009 to May 2016
Peak Demand Reduction (kWP)
1,490
kW
Total Generation (kWhA)
90,980,405
kWh
Heat Recovered
181,566
MMBtu
Gas Consumed
1,087,442
Mcf
FCECHP

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

47.9
% HHV
FCECHP

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

48.7
% 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.