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Burke Rehabilitation Hospital

Overview Burke Rehabilitation 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

May 2008 to May 2016
31,879
MWh
electricity generated
Capacity
Factor
409,144
Mcf
generator fuel consumed
Electric
Efficiency
73,700
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

May 2008 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 31,879 409,144 73,700 67,901 75.8 25.8 17.5 43.2
May 2008
0 109 894 1,567 0.0 0.0 798.1 798.1
Jun 2008
192 2,431 375 2,222 44.5 26.1 14.9 41.1
Jul 2008
20 273 379 2,400 4.5 24.4 134.4 158.8
Aug 2008
377 4,726 389 1,955 84.5 26.4 8.0 34.4
Sep 2008
358 4,520 152 734 82.9 26.2 3.3 29.5
Oct 2008
362 4,477 1,233 1,033 81.0 26.7 26.7 53.4
Nov 2008
370 4,513 1,837 588 85.6 27.1 39.4 66.5
Dec 2008
404 4,894 2,383 240 90.4 27.3 47.2 74.5
Jan 2009
327 4,013 2,069 78 73.3 27.0 49.9 76.9
Feb 2009
358 4,408 2,205 100 88.8 26.9 48.5 75.3
Mar 2009
370 4,522 2,095 276 82.9 27.1 44.9 72.0
Apr 2009
382 4,729 1,643 848 88.4 26.7 33.7 60.4
May 2009
390 4,863 881 1,676 87.4 26.5 17.6 44.1
Jun 2009
384 4,817 620 1,863 88.8 26.3 12.5 38.8
Jul 2009
365 4,557 584 1,806 81.7 26.5 12.4 38.9
Aug 2009
407 5,087 527 2,156 91.1 26.4 10.0 36.5
Sep 2009
351 4,391 397 1,865 81.3 26.5 8.8 35.2
Oct 2009
391 4,814 1,418 1,073 87.6 26.9 28.5 55.4
Nov 2009
375 4,607 1,804 602 86.7 26.9 37.9 64.8
Dec 2009
385 4,719 2,253 141 86.2 27.0 46.3 73.2
Jan 2010
362 4,497 733 14 81.1 26.6 15.8 42.4
Feb 2010
360 4,538 2,094 36 89.4 26.3 44.7 71.0
Mar 2010
377 4,705 2,076 372 84.5 26.5 42.8 69.3
Apr 2010
361 4,626 1,176 1,201 83.6 25.8 24.6 50.5
May 2010
361 4,593 663 1,680 80.9 26.0 14.0 40.0
Jun 2010
361 4,599 408 1,951 83.5 25.9 8.6 34.5
Jul 2010
371 4,780 413 2,075 83.2 25.7 8.4 34.1
Aug 2010
390 5,035 429 2,197 87.4 25.6 8.3 33.9
Sep 2010
367 4,747 457 2,031 84.9 25.6 9.3 34.9
Oct 2010
379 4,929 1,055 1,526 84.9 25.4 20.7 46.2
Nov 2010
385 4,913 2,182 423 89.1 25.9 43.0 68.9
Dec 2010
386 4,966 2,431 143 86.6 25.7 47.4 73.2
Jan 2011
342 4,405 2,040 246 76.5 25.7 44.9 70.5
Feb 2011
367 4,677 2,124 309 90.9 25.9 44.0 69.9
Mar 2011
398 5,127 2,162 532 89.1 25.7 40.9 66.5
Apr 2011
380 4,948 1,536 1,051 88.1 25.4 30.1 55.5
May 2011
299 3,984 547 1,549 67.0 24.8 13.3 38.1
Jun 2011
0 0 < 1 2 0.0 0.0 0.0 0.0
Jul 2011
343 4,522 221 2,215 76.8 25.1 4.7 29.8
Aug 2011
384 5,135 275 2,472 86.1 24.7 5.2 29.9
Sep 2011
384 5,169 211 2,543 88.9 24.6 4.0 28.5
Oct 2011
382 5,121 99 310 85.7 24.7 1.9 26.6
Nov 2011
371 4,788 0 0 85.9 25.6 0.0 25.6
Dec 2011
381 4,891 1,971 275 85.3 25.8 39.1 64.8
Jan 2012
375 4,778 2,318 237 84.0 26.0 47.0 73.0
Feb 2012
361 4,583 2,190 244 86.5 26.1 46.3 72.4
Mar 2012
387 4,964 1,774 852 86.7 25.8 34.6 60.4
Apr 2012
382 4,904 1,472 1,059 88.4 25.7 29.1 54.8
May 2012
393 5,104 739 1,921 88.1 25.5 14.0 39.5
Jun 2012
348 4,597 492 1,929 80.6 25.1 10.4 35.4
Jul 2012
353 4,659 457 1,988 87.6 25.1 9.5 34.6
Aug 2012
393 5,241 454 2,256 88.0 24.8 8.4 33.2
Sep 2012
377 4,981 415 2,177 87.3 25.1 8.1 33.1
Oct 2012
397 5,153 1,040 1,623 89.0 25.5 19.6 45.1
Nov 2012
386 5,014 2,340 287 89.4 25.5 45.2 70.7
Dec 2012
349 4,535 2,159 202 78.2 25.5 46.1 71.6
Jan 2013
11 149 133 33 26.1 25.0 86.1 111.1
Feb 2013
346 4,468 426 103 85.7 25.6 9.2 34.8
Mar 2013
349 4,505 977 83 78.2 25.6 21.0 46.7
Apr 2013
345 4,471 1,132 957 79.9 25.5 24.5 50.1
May 2013
0 0 0 0 0.0 0.0 0.0 0.0
Jun 2013
149 1,942 824 240 34.6 25.5 41.1 66.6
Jul 2013
391 5,080 2,355 445 87.6 25.5 44.9 70.4
Aug 2013
393 5,076 1,148 1,042 88.1 25.6 21.9 47.5
Sep 2013
376 4,861 476 735 87.0 25.6 9.5 35.1
Oct 2013
294 3,779 938 1,086 65.9 25.8 24.1 49.8
Nov 2013
277 3,547 4 29 64.1 25.8 0.1 25.9
Dec 2013
371 4,775 0 0 83.2 25.7 0.0 25.7
Jan 2014
214 2,760 0 0 47.8 25.6 0.0 25.6
Feb 2014
301 3,881 0 0 74.5 25.6 0.0 25.6
Mar 2014
361 4,599 0 0 80.8 25.9 0.0 25.9
Apr 2014
366 4,680 0 0 84.7 25.8 0.0 25.8
May 2014
385 4,931 0 0 86.4 25.9 0.0 25.9
Jun 2014
380 4,831 0 0 88.0 26.0 0.0 26.0
Jul 2014
383 4,865 0 0 85.9 26.1 0.0 26.1
Aug 2014
383 4,949 0 0 85.8 25.6 0.0 25.6
Sep 2014
364 4,708 0 0 84.2 25.6 0.0 25.6
Oct 2014
385 5,041 0 0 86.2 25.2 0.0 25.2
Nov 2014
367 4,759 0 0 85.0 25.5 0.0 25.5
Dec 2014
376 4,835 0 0 84.2 25.7 0.0 25.7
Jan 2015
331 4,316 0 0 74.2 25.4 0.0 25.4
Feb 2015
132 1,703 0 0 32.6 25.5 0.0 25.5
Mar 2015
381 4,929 0 0 85.5 25.6 0.0 25.6
Apr 2015
357 4,664 0 0 82.6 25.3 0.0 25.3
May 2015
358 4,621 0 0 80.2 25.6 0.0 25.6
Jun 2015
359 4,689 0 0 83.1 25.3 0.0 25.3
Jul 2015
394 5,159 0 0 88.3 25.3 0.0 25.3
Aug 2015
147 1,918 0 0 32.9 25.3 0.0 25.3
Sep 2015
0 0 0 0 0.0 0.0 0.0 0.0
Oct 2015
0 0 0 0 0.0 0.0 0.0 0.0
Nov 2015
263 3,475 0 0 61.0 25.1 0.0 25.1
Dec 2015
375 4,918 0 0 84.0 25.2 0.0 25.2
Jan 2016
367 4,851 0 0 82.2 25.0 0.0 25.0
Feb 2016
323 4,277 0 0 77.4 25.0 0.0 25.0
Mar 2016
390 5,007 0 0 87.3 25.7 0.0 25.7
Apr 2016
362 4,721 0 0 83.9 25.4 0.0 25.4
May 2016
212 2,725 0 0 47.4 25.7 0.0 25.7

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
Burke Rehabilitation Hospital 43.2 % 17.5 % 25.8 % 75.8 % 31,879 MWh
Top Peer 68.3 % 38.5 % 29.8 % 91.3 % 7,502 MWh
Average Peer 53.3 % 28.9 % 24.4 % 74.3 % 14,857 MWh

Peer Criteria

  • Technology: CHP
  • Generation Capacity: Medium (250-1000 kW)
  • Facility Category: Health Care (Inpatient)
  • Total Peers in Group: 3

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

May 2008 to May 2016
Peak Demand Reduction (kWP)
522
kW
Total Generation (kWhA)
31,879,232
kWh
Heat Recovered
73,700
MMBtu
Gas Consumed
409,144
Mcf
FCECHP

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

47.6
% HHV
FCECHP

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

48.0
% 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.