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DHL

Overview DHL Express

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

Apr 2015 to Aug 2023
11,643
MWh
electricity generated
Capacity
Factor
202,829
Mcf
generator fuel consumed
Electric
Efficiency
35,045
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

Apr 2015 to Aug 2023
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 11,643 202,829 35,045 0 19.8 19.0 16.7 35.7
Apr 2015
6 133 9 0 1.1 15.4 6.6 22.0
May 2015
124 2,398 196 0 20.8 17.1 7.9 25.0
Jun 2015
128 2,326 216 0 22.2 18.1 9.0 27.1
Jul 2015
142 2,977 265 0 23.8 15.8 8.6 24.4
Aug 2015
163 3,594 307 0 27.3 15.0 8.3 23.2
Sep 2015
146 3,230 348 0 25.3 14.9 10.4 25.4
Oct 2015
96 2,370 267 0 16.1 13.4 10.9 24.3
Nov 2015
84 2,213 427 0 14.6 12.6 18.7 31.3
Dec 2015
90 1,805 532 0 15.2 16.6 28.6 45.2
Jan 2016
105 2,017 594 0 17.7 17.3 28.6 45.8
Feb 2016
95 1,968 562 0 17.0 15.9 27.7 43.6
Mar 2016
82 1,967 378 0 13.8 13.8 18.6 32.4
Apr 2016
72 1,827 92 0 12.5 13.0 4.9 17.9
May 2016
69 1,396 135 0 11.5 16.2 9.4 25.6
Jun 2016
112 2,148 655 0 19.5 17.3 29.5 46.8
Jul 2016
150 2,876 856 0 25.2 17.3 28.9 46.1
Aug 2016
163 2,797 816 0 27.4 19.3 28.3 47.6
Sep 2016
137 2,431 698 0 23.7 18.6 27.8 46.4
Oct 2016
120 2,157 401 0 20.1 18.4 18.0 36.4
Nov 2016
95 1,910 462 0 16.5 16.5 23.4 39.9
Dec 2016
127 2,017 354 0 21.4 20.8 17.0 37.8
Jan 2017
116 1,859 344 0 19.4 20.6 17.9 38.5
Feb 2017
101 1,667 390 0 18.7 20.0 22.7 42.7
Mar 2017
112 1,853 464 0 18.7 19.9 24.3 44.2
Apr 2017
85 1,489 334 0 14.7 18.8 21.8 40.6
May 2017
119 1,965 376 0 20.0 20.0 18.5 38.5
Jun 2017
142 2,356 343 0 24.7 19.9 14.1 34.1
Jul 2017
154 2,536 426 0 25.9 20.1 16.3 36.4
Aug 2017
150 2,253 329 0 25.2 22.0 14.2 36.2
Sep 2017
98 1,448 74 0 17.0 22.3 5.0 27.3
Oct 2017
112 1,929 168 0 18.9 19.2 8.4 27.7
Nov 2017
101 1,831 278 0 17.6 18.3 14.7 33.0
Dec 2017
115 1,825 246 0 19.4 20.9 13.1 34.0
Jan 2018
150 2,406 311 0 25.2 20.6 12.5 33.2
Feb 2018
118 2,158 189 0 21.9 18.0 8.5 26.5
Mar 2018
124 2,363 416 0 20.9 17.4 17.1 34.5
Apr 2018
101 2,246 238 0 17.6 14.9 10.3 25.2
May 2018
122 2,134 99 0 20.4 18.8 4.5 23.3
Jun 2018
133 2,058 317 0 23.0 21.3 14.9 36.2
Jul 2018
168 2,564 510 0 28.3 21.7 19.3 41.0
Aug 2018
178 2,865 593 0 30.0 20.6 20.0 40.6
Sep 2018
148 2,399 616 0 25.7 20.4 24.9 45.3
Oct 2018
124 2,035 404 0 20.9 20.2 19.2 39.5
Nov 2018
118 1,978 338 0 20.5 19.8 16.6 36.3
Dec 2018
130 2,222 511 0 21.9 19.4 22.3 41.7
Jan 2019
145 2,471 647 0 24.4 19.5 25.4 44.8
Feb 2019
135 2,348 679 0 25.1 19.0 28.0 47.0
Mar 2019
137 2,478 503 0 23.1 18.3 19.7 38.0
Apr 2019
78 1,553 171 0 13.6 16.7 10.7 27.4
May 2019
127 2,393 21 0 21.4 17.6 0.9 18.4
Jun 2019
143 2,505 288 0 24.7 18.8 11.2 30.0
Jul 2019
180 2,914 581 0 30.2 20.4 19.3 39.7
Aug 2019
173 2,916 464 0 29.1 19.7 15.4 35.1
Sep 2019
93 1,639 234 0 16.1 18.7 13.8 32.5
Oct 2019
99 2,061 180 0 16.7 15.9 8.5 24.4
Nov 2019
98 1,890 87 0 17.1 17.2 4.4 21.6
Dec 2019
129 2,413 150 0 21.6 17.6 6.0 23.6
Jan 2020
123 2,309 152 0 20.6 17.6 6.4 23.9
Feb 2020
108 2,120 146 0 19.4 16.9 6.7 23.5
Mar 2020
98 2,038 92 0 16.5 16.0 4.4 20.4
Apr 2020
99 2,051 59 0 17.2 16.0 2.8 18.8
May 2020
31 694 27 0 5.1 14.6 3.8 18.4
Jun 2020
0 0 0 0 0.0 0.0 0.0 0.0
Jul 2020
0 1 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
115 1,807 551 0 20.0 21.1 29.6 50.6
Oct 2020
106 1,774 237 0 17.8 19.8 12.9 32.7
Nov 2020
110 2,142 489 0 19.2 17.1 22.1 39.2
Dec 2020
142 2,514 761 0 23.9 18.7 29.3 48.0
Jan 2021
161 2,581 756 0 27.1 20.7 28.4 49.1
Feb 2021
199 2,874 844 0 37.0 22.9 28.5 51.3
Mar 2021
342 4,645 550 0 57.5 24.4 11.5 35.8
Apr 2021
223 3,301 152 0 38.7 22.3 4.5 26.8
May 2021
105 2,107 372 0 17.6 16.5 17.1 33.6
Jun 2021
140 2,301 700 0 24.3 20.1 29.5 49.6
Jul 2021
167 2,819 944 0 28.0 19.6 32.4 52.0
Aug 2021
146 2,681 952 0 24.5 18.0 34.4 52.4
Sep 2021
130 2,052 697 0 22.6 21.0 32.9 53.9
Oct 2021
96 2,048 342 0 16.1 15.5 16.2 31.6
Nov 2021
276 3,978 368 0 48.0 23.0 9.0 31.9
Dec 2021
207 3,263 273 0 34.8 21.0 8.1 29.1
Jan 2022
211 3,261 258 0 35.4 21.4 7.7 29.0
Feb 2022
86 1,727 162 0 15.9 16.4 9.1 25.5
Mar 2022
90 1,633 101 0 15.2 18.3 6.0 24.3
Apr 2022
73 1,449 17 0 12.7 16.7 1.2 17.9
May 2022
79 1,238 300 0 14.2 21.1 23.5 44.6
Jun 2022
97 1,423 489 0 16.8 22.5 33.3 55.8
Jul 2022
101 1,439 560 0 17.0 23.3 37.7 61.0
Aug 2022
88 1,252 510 0 14.8 23.3 39.5 62.7
Sep 2022
122 1,904 539 0 21.2 21.2 27.4 48.6
Oct 2022
69 1,213 273 0 11.7 18.9 21.8 40.7
Nov 2022
63 1,027 295 0 10.9 20.2 27.8 48.0
Dec 2022
64 1,027 336 0 10.7 20.6 31.7 52.3
Jan 2023
97 1,413 433 0 16.4 22.8 29.7 52.5
Feb 2023
32 438 125 0 5.9 23.9 27.7 51.6
Mar 2023
2 36 10 0 0.4 19.6 26.3 45.9
Apr 2023
75 1,119 136 0 13.1 22.3 11.8 34.1
May 2023
64 964 93 0 10.8 22.0 9.4 31.3
Jun 2023
77 1,141 8 0 13.3 22.2 0.7 22.9
Jul 2023
82 1,250 0 0 14.2 21.6 0.0 21.6
Aug 2023
84 1,198 41 0 15.2 23.3 3.3 26.6

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
DHL 35.7 % 16.7 % 19.0 % 19.8 % 11,643 MWh
Top Peer 50.8 % 28.7 % 22.2 % 19.5 % 5,744 MWh
Average Peer 43.3 % 22.7 % 20.6 % 19.6 % 8,694 MWh

Peer Criteria

  • Technology: CHP
  • Generation Capacity: Medium (250-1000 kW)
  • Facility Category: Service
  • Total Peers in Group: 2

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

Apr 2015 to Aug 2023
Peak Demand Reduction (kWP)
166
kW
Total Generation (kWhA)
11,643,221
kWh
Heat Recovered
35,045
MMBtu
Gas Consumed
202,829
Mcf
FCECHP

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

39.9
% HHV
FCECHP

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

39.7
% 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.