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SUNY Polytechnic Institute CNSE

Overview SUNY Polytechnic Institute CNSE

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

Mar 2016 to Jul 2022
2,427
MWh
electricity generated
Capacity
Factor
27,264
Mcf
generator fuel consumed
Electric
Efficiency
0
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

Mar 2016 to Jul 2022
Electricity Generated (kWh) Total Fuel Consumed (cf) Total Heat Used (MBtu) Heat Rejected (MBtu) Capacity Factor (%) Electric Efficiency (% HHV) Thermal Efficiency (% HHV) CHP Efficiency (% HHV)
Total 2,426,923 27,263,573 0 0 45.9 29.4 0.0 29.4
Mar 2016
21,710 211,118 0 0 90.5 34.0 0.0 34.0
Apr 2016
66,123 668,141 0 0 91.8 32.7 0.0 32.7
May 2016
38,856 453,181 0 0 52.2 28.4 0.0 28.4
Jun 2016
65,539 709,499 0 0 91.0 30.5 0.0 30.5
Jul 2016
69,713 762,081 0 0 93.7 30.3 0.0 30.3
Aug 2016
65,184 711,333 0 0 87.6 30.3 0.0 30.3
Sep 2016
68,011 741,680 0 0 94.5 30.3 0.0 30.3
Oct 2016
69,134 739,625 0 0 92.9 30.9 0.0 30.9
Nov 2016
68,365 734,558 0 0 95.0 30.8 0.0 30.8
Dec 2016
68,338 744,743 0 0 91.9 30.3 0.0 30.3
Jan 2017
63,304 692,776 0 0 85.1 30.2 0.0 30.2
Feb 2017
62,729 698,446 0 0 93.3 29.7 0.0 29.7
Mar 2017
68,886 770,771 0 0 92.6 29.6 0.0 29.6
Apr 2017
67,987 752,809 0 0 94.4 29.9 0.0 29.9
May 2017
18,776 210,357 0 0 25.2 29.5 0.0 29.5
Jun 2017
45,863 493,612 0 0 63.7 30.7 0.0 30.7
Jul 2017
63,208 691,408 0 0 85.0 30.2 0.0 30.2
Aug 2017
62,856 688,817 0 0 84.5 30.2 0.0 30.2
Sep 2017
58,516 636,238 0 0 81.3 30.4 0.0 30.4
Oct 2017
66,028 746,795 0 0 88.7 29.2 0.0 29.2
Nov 2017
67,712 761,547 0 0 94.0 29.4 0.0 29.4
Dec 2017
67,785 790,975 0 0 91.1 28.3 0.0 28.3
Jan 2018
60,718 710,742 0 0 81.6 28.3 0.0 28.3
Feb 2018
62,323 711,847 0 0 92.7 29.0 0.0 29.0
Mar 2018
69,693 799,375 0 0 93.7 28.8 0.0 28.8
Apr 2018
67,292 771,932 0 0 93.5 28.8 0.0 28.8
May 2018
60,231 690,617 0 0 81.0 28.8 0.0 28.8
Jun 2018
55,015 636,030 0 0 76.4 28.6 0.0 28.6
Jul 2018
61,999 716,267 0 0 83.3 28.6 0.0 28.6
Aug 2018
66,282 771,827 0 0 89.1 28.4 0.0 28.4
Sep 2018
56,691 643,015 0 0 78.7 29.2 0.0 29.2
Oct 2018
69,237 807,748 0 0 93.1 28.3 0.0 28.3
Nov 2018
66,394 775,531 0 0 92.2 28.3 0.0 28.3
Dec 2018
68,110 799,946 0 0 91.5 28.2 0.0 28.2
Jan 2019
65,867 800,389 0 0 88.5 27.2 0.0 27.2
Feb 2019
41,282 491,309 0 0 61.4 27.8 0.0 27.8
Mar 2019
65,738 773,429 0 0 88.4 28.1 0.0 28.1
Apr 2019
66,107 777,853 0 0 91.8 28.1 0.0 28.1
May 2019
50,378 561,081 0 0 67.7 29.7 0.0 29.7
Jun 2019
40,030 416,691 0 0 55.6 31.8 0.0 31.8
Jul 2019
18,914 197,434 0 0 26.3 31.7 0.0 31.7
Oct 2019
0 0 0 0 0.0 0.0 0.0 0.0
Nov 2019
0 0 0 0 0.0 0.0 0.0 0.0
Dec 2019
0 0 0 0 0.0 0.0 0.0 0.0
Jan 2020
0 0 0 0 0.0 0.0 0.0 0.0
Feb 2020
0 0 0 0 0.0 0.0 0.0 0.0
Mar 2020
0 0 0 0 0.0 0.0 0.0 0.0
Apr 2020
0 0 0 0 0.0 0.0 0.0 0.0
May 2020
0 0 0 0 0.0 0.0 0.0 0.0
Jun 2020
0 0 0 0 0.0 0.0 0.0 0.0
Jul 2020
0 0 0 0 0.0 0.0 0.0 0.0
Aug 2020
0 0 0 0 0.0 0.0 0.0 0.0
Sep 2020
0 0 0 0 0.0 0.0 0.0 0.0
Oct 2020
0 0 0 0 0.0 0.0 0.0 0.0
Nov 2020
0 0 0 0 0.0 0.0 0.0 0.0
Dec 2020
0 0 0 0 0.0 0.0 0.0 0.0
Jan 2021
0 0 0 0 0.0 0.0 0.0 0.0
Feb 2021
0 0 0 0 0.0 0.0 0.0 0.0
Mar 2021
0 0 0 0 0.0 0.0 0.0 0.0
Apr 2021
0 0 0 0 0.0 0.0 0.0 0.0
May 2021
0 0 0 0 0.0 0.0 0.0 0.0
Jun 2021
0 0 0 0 0.0 0.0 0.0 0.0
Jul 2021
0 0 0 0 0.0 0.0 0.0 0.0
Aug 2021
0 0 0 0 0.0 0.0 0.0 0.0
Sep 2021
0 0 0 0 0.0 0.0 0.0 0.0
Oct 2021
0 0 0 0 0.0 0.0 0.0 0.0
Nov 2021
0 0 0 0 0.0 0.0 0.0 0.0
Dec 2021
0 0 0 0 0.0 0.0 0.0 0.0
Jan 2022
0 0 0 0 0.0 0.0 0.0 0.0
Feb 2022
0 0 0 0 0.0 0.0 0.0 0.0
Mar 2022
0 0 0 0 0.0 0.0 0.0 0.0
Apr 2022
0 0 0 0 0.0 0.0 0.0 0.0
May 2022
0 0 0 0 0.0 0.0 0.0 0.0
Jun 2022
0 0 0 0 0.0 0.0 0.0 0.0
Jul 2022
0 0 0 0 0.0 0.0 0.0 0.0

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
SUNY Polytechnic Institute CNSE 29.4 % 0.0 % 29.4 % 45.9 % 2,427 MWh
Top Peer 29.4 % 0.0 % 29.4 % 45.9 % 2,427 MWh
Average Peer 29.4 % 0.0 % 29.4 % 45.9 % 2,427 MWh

Peer Criteria

  • Technology: Fuel Cell
  • Generation Capacity: Small (0-250 kW)
  • Facility Category: Education
  • Total Peers in Group: 1

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.