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Avalon Fort Greene

Overview Avalon Fort Greene

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 2017 to Jun 2021
2,456
MWh
electricity generated
Capacity
Factor
36,680
Mcf
generator fuel consumed
Electric
Efficiency
20,742
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

Jan 2017 to Jun 2021
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 2,456 36,680 20,742 1,798 31.4 22.1 54.8 76.9
Jan 2017
36 548 345 < 1 24.1 21.7 61.0 82.6
Feb 2017
53 803 502 4 39.6 21.9 60.6 82.5
Mar 2017
57 860 541 3 38.0 21.7 61.0 82.8
Apr 2017
53 814 541 0 37.0 21.7 64.5 86.1
May 2017
44 704 456 0 29.6 20.7 62.7 83.4
Jun 2017
45 730 476 0 31.3 20.4 63.2 83.6
Jul 2017
61 901 491 81 40.7 22.2 52.8 75.0
Aug 2017
83 1,128 468 221 55.8 24.3 40.2 64.5
Sep 2017
83 1,131 524 157 57.8 24.3 44.8 69.2
Oct 2017
61 996 487 52 40.8 20.2 47.4 67.6
Nov 2017
58 953 520 6 40.2 20.1 52.9 73.0
Dec 2017
63 944 585 0 42.7 22.2 60.0 82.3
Jan 2018
64 955 594 0 42.8 22.1 60.3 82.4
Feb 2018
56 868 550 0 41.5 21.3 61.4 82.7
Mar 2018
57 950 585 0 38.1 19.7 59.6 79.4
Apr 2018
49 832 508 0 34.3 19.6 59.1 78.8
May 2018
62 920 568 10 41.6 22.2 59.8 82.0
Jun 2018
65 940 526 65 45.0 22.8 54.2 77.0
Jul 2018
60 830 439 80 40.6 24.1 51.2 75.3
Aug 2018
71 965 452 133 47.8 24.4 45.4 69.7
Sep 2018
68 960 465 113 47.2 23.4 46.9 70.3
Oct 2018
41 610 345 5 27.6 22.3 54.9 77.1
Nov 2018
43 615 357 0 29.8 23.1 56.3 79.4
Dec 2018
43 624 373 0 28.7 22.7 57.9 80.6
Jan 2019
56 829 506 0 37.9 22.5 59.2 81.7
Feb 2019
28 424 272 0 20.8 21.8 62.1 83.9
Mar 2019
32 527 319 0 21.8 20.3 58.7 79.1
Apr 2019
35 613 373 0 24.2 18.8 59.0 77.8
May 2019
28 524 325 0 18.5 17.4 60.2 77.6
Jun 2019
19 285 187 < 1 12.9 21.5 63.6 85.1
Jul 2019
27 416 263 5 18.5 21.8 61.3 83.2
Aug 2019
19 278 169 3 13.0 23.0 58.7 81.8
Sep 2019
37 530 329 < 1 26.0 23.4 60.1 83.5
Oct 2019
28 385 236 < 1 18.7 23.9 59.3 83.2
Nov 2019
33 452 285 < 1 22.9 24.1 61.0 85.1
Dec 2019
10 146 95 0 6.8 22.9 62.8 85.6
Jan 2020
49 722 464 0 33.1 22.5 62.2 84.7
Feb 2020
49 727 468 0 35.0 22.2 62.4 84.6
Mar 2020
44 685 440 0 29.4 21.1 62.3 83.4
Apr 2020
33 524 339 0 22.9 20.9 62.7 83.5
May 2020
33 516 335 0 22.5 21.4 63.0 84.4
Jun 2020
47 709 309 136 32.9 22.1 42.2 64.3
Jul 2020
52 780 256 229 35.2 22.2 31.9 54.1
Aug 2020
41 607 207 121 27.6 22.4 33.0 55.4
Sep 2020
35 503 133 130 24.5 23.2 25.6 48.8
Oct 2020
7 98 28 26 4.5 22.4 27.3 49.7
Nov 2020
44 626 329 56 30.4 23.1 51.0 74.1
Dec 2020
53 722 373 65 35.5 24.2 50.1 74.3
Jan 2021
52 698 368 53 35.1 24.7 51.0 75.8
Feb 2021
42 565 328 13 31.5 24.8 56.2 81.0
Mar 2021
41 557 344 0 27.9 24.6 59.9 84.5
Apr 2021
37 529 319 0 25.9 23.3 58.3 81.6
May 2021
38 633 392 0 25.4 19.8 60.1 79.8
Jun 2021
30 489 255 30 30.7 20.0 50.6 70.6

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
Avalon Fort Greene 76.9 % 54.8 % 22.1 % 31.4 % 2,456 MWh
Top Peer 76.0 % 45.2 % 30.8 % 12.5 % 199 MWh
Average Peer 60.6 % 37.1 % 23.5 % 39.3 % 1,103 MWh

Peer Criteria

  • Technology: CHP
  • Generation Capacity: Small (0-250 kW)
  • Facility Category: Residential
  • Total Peers in Group: 90

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 2017 to Jun 2021
Peak Demand Reduction (kWP)
64
kW
Total Generation (kWhA)
2,456,470
kWh
Heat Recovered
20,742
MMBtu
Gas Consumed
36,680
Mcf
FCECHP

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

90.6
% HHV
FCECHP

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

85.5
% 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.