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Parker Jewish Institute

Overview Parker Jewish Institute

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 2012 to May 2016
6,495
MWh
electricity generated
Capacity
Factor
86,273
Mcf
generator fuel consumed
Electric
Efficiency
27,693
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 2012 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 6,495 86,273 27,693 15,764 61.0 24.9 31.1 56.0
May 2012
4 78 59 10 1.9 17.3 72.6 89.8
Jun 2012
73 958 267 188 33.7 25.1 27.0 52.1
Jul 2012
135 1,754 380 360 60.6 25.5 21.0 46.5
Aug 2012
121 1,573 286 337 54.0 25.4 17.6 43.0
Sep 2012
131 1,692 391 420 60.5 25.5 22.4 47.9
Oct 2012
139 1,793 525 441 62.3 25.6 28.4 54.0
Nov 2012
165 2,118 723 468 76.5 25.8 33.0 58.9
Dec 2012
160 2,065 749 442 71.7 25.6 35.1 60.8
Jan 2013
148 1,921 658 409 66.4 25.5 33.2 58.7
Feb 2013
155 1,996 750 428 76.9 25.7 36.4 62.1
Mar 2013
165 2,124 825 374 73.8 25.6 37.6 63.3
Apr 2013
158 2,034 761 377 73.0 25.6 36.3 61.9
May 2013
151 1,953 740 352 67.6 25.6 36.7 62.3
Jun 2013
164 2,119 788 420 76.1 25.7 36.0 61.7
Jul 2013
125 1,620 615 297 55.9 25.5 36.8 62.3
Aug 2013
128 1,662 729 338 57.1 25.4 42.5 67.9
Sep 2013
141 1,827 704 399 65.3 25.5 37.3 62.8
Oct 2013
151 1,957 632 415 67.8 25.6 31.3 56.9
Nov 2013
129 1,713 605 321 59.8 24.9 34.2 59.1
Dec 2013
125 1,671 660 256 56.1 24.8 38.3 63.0
Jan 2014
146 1,921 771 269 65.3 25.1 38.9 64.0
Feb 2014
133 1,772 726 201 65.9 24.8 39.7 64.5
Mar 2014
132 1,787 637 240 59.3 24.5 34.5 59.1
Apr 2014
137 1,849 581 246 63.4 24.5 30.5 54.9
May 2014
157 2,127 774 311 70.3 24.4 35.3 59.7
Jun 2014
154 2,133 852 330 71.2 23.8 38.7 62.6
Jul 2014
134 1,910 756 273 60.3 23.3 38.4 61.6
Aug 2014
151 2,080 758 326 67.8 24.0 35.3 59.4
Sep 2014
130 1,804 596 269 60.2 23.9 32.0 55.9
Oct 2014
158 2,135 640 371 70.6 24.4 29.1 53.5
Nov 2014
154 2,034 667 373 71.2 25.0 31.8 56.8
Dec 2014
160 2,099 729 361 71.9 25.3 33.7 58.9
Jan 2015
147 1,924 603 364 65.9 25.3 30.4 55.7
Feb 2015
117 1,531 490 209 58.2 25.3 31.0 56.4
Mar 2015
134 1,815 651 231 60.2 24.5 34.8 59.3
Apr 2015
151 2,077 742 312 69.9 24.0 34.6 58.7
May 2015
148 2,028 784 352 66.3 24.1 37.5 61.6
Jun 2015
141 1,919 405 311 65.5 24.4 20.5 44.9
Jul 2015
89 1,225 333 140 40.0 24.1 26.3 50.4
Aug 2015
126 1,732 454 275 56.4 24.1 25.4 49.4
Sep 2015
151 2,032 486 403 70.0 24.6 23.2 47.8
Oct 2015
152 2,027 517 352 67.9 24.7 24.7 49.4
Nov 2015
142 1,870 460 319 65.6 25.1 23.8 48.9
Dec 2015
132 1,757 431 344 59.1 24.8 23.7 48.6
Jan 2016
118 1,531 305 372 52.8 25.4 19.3 44.7
Feb 2016
126 1,681 290 423 60.5 24.9 16.7 41.6
Mar 2016
33 456 62 109 14.9 24.1 13.3 37.4
Apr 2016
87 1,203 178 314 40.2 23.9 14.3 38.2
May 2016
85 1,187 170 312 62.2 23.7 13.9 37.6

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
Parker Jewish Institute 56.0 % 31.1 % 24.9 % 61.0 % 6,495 MWh
Top Peer 69.2 % 48.2 % 21.0 % 47.5 % 3,739 MWh
Average Peer 53.2 % 28.9 % 24.4 % 48.7 % 5,223 MWh

Peer Criteria

  • Technology: CHP
  • Generation Capacity: Medium (250-1000 kW)
  • Facility Category: Lodging
  • Total Peers in Group: 10

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 2012 to May 2016
Peak Demand Reduction (kWP)
190
kW
Total Generation (kWhA)
6,494,587
kWh
Heat Recovered
27,693
MMBtu
Gas Consumed
86,273
Mcf
FCECHP

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

63.8
% HHV
FCECHP

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

62.2
% 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.