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Bates Troy Healthcare Linen Services

Overview Bates Troy Healthcare Linen Services

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
5,744
MWh
electricity generated
Capacity
Factor
85,733
Mcf
generator fuel consumed
Electric
Efficiency
25,363
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 5,744 85,733 25,363 14,839 19.5 22.2 28.7 50.8
Apr 2015
< 1 12 2 < 1 0.3 23.3 18.1 41.4
May 2015
46 630 120 109 15.3 23.9 18.5 42.4
Jun 2015
66 931 185 195 23.0 23.5 19.2 42.7
Jul 2015
74 1,061 175 385 24.9 23.1 15.9 39.0
Aug 2015
70 996 136 392 23.4 23.1 13.2 36.3
Sep 2015
71 1,019 142 394 24.8 23.2 13.5 36.7
Oct 2015
66 944 150 348 22.2 23.1 15.4 38.5
Nov 2015
59 850 153 298 20.5 23.0 17.5 40.5
Dec 2015
62 884 177 303 20.7 23.1 19.4 42.5
Jan 2016
61 869 177 291 20.6 23.3 19.8 43.1
Feb 2016
59 847 177 285 21.3 23.2 20.2 43.4
Mar 2016
66 952 192 328 22.3 23.1 19.6 42.7
Apr 2016
61 863 221 238 21.0 23.2 24.9 48.1
May 2016
59 844 233 213 20.0 23.3 26.7 50.0
Jun 2016
59 862 198 256 20.6 22.8 22.3 45.1
Jul 2016
57 840 142 296 19.3 22.6 16.4 39.0
Aug 2016
61 863 234 236 20.4 23.2 26.3 49.5
Sep 2016
63 887 255 222 22.0 23.7 27.9 51.5
Oct 2016
58 815 210 224 19.6 23.6 24.9 48.5
Nov 2016
58 831 204 249 20.0 22.9 23.8 46.7
Dec 2016
62 879 192 263 20.8 23.3 21.2 44.5
Jan 2017
67 951 176 322 22.6 23.4 17.9 41.3
Feb 2017
59 821 210 224 21.8 23.6 24.8 48.3
Mar 2017
65 921 169 314 21.8 23.4 17.8 41.2
Apr 2017
59 839 179 253 20.4 23.1 20.6 43.8
May 2017
67 959 268 222 22.4 23.0 27.0 50.1
Jun 2017
69 991 286 223 23.9 22.9 28.0 50.9
Jul 2017
67 981 285 224 22.7 22.7 28.1 50.8
Aug 2017
76 1,101 313 251 25.5 22.8 27.6 50.4
Sep 2017
69 995 335 177 23.8 22.8 32.6 55.4
Oct 2017
71 1,026 385 155 23.7 22.7 36.4 59.1
Nov 2017
67 953 401 85 23.2 23.2 40.8 64.0
Dec 2017
67 955 392 87 22.6 23.3 39.8 63.1
Jan 2018
70 995 420 69 23.4 23.2 40.9 64.0
Feb 2018
65 923 354 105 24.3 23.4 37.2 60.6
Mar 2018
71 1,015 382 120 23.7 23.0 36.5 59.5
Apr 2018
65 955 363 114 22.7 22.6 36.8 59.5
May 2018
73 1,082 380 166 24.4 22.2 34.0 56.2
Jun 2018
62 948 315 169 21.7 21.8 32.2 53.9
Jul 2018
65 1,006 262 174 22.0 21.5 25.3 46.8
Aug 2018
63 983 197 99 21.1 21.1 19.4 40.5
Sep 2018
54 831 199 96 18.7 21.4 23.2 44.6
Oct 2018
60 907 300 80 20.2 21.9 32.0 53.9
Nov 2018
53 803 326 53 18.5 22.0 39.4 61.3
Dec 2018
52 782 315 64 17.6 22.1 39.0 61.2
Jan 2019
58 861 353 79 19.3 22.1 39.8 61.9
Feb 2019
53 798 314 60 19.9 22.2 38.1 60.2
Mar 2019
56 841 258 78 18.7 21.9 29.7 51.6
Apr 2019
56 867 295 84 19.5 21.4 32.9 54.3
May 2019
62 988 396 107 21.0 20.9 38.9 59.8
Jun 2019
55 904 355 119 19.2 20.2 38.1 58.3
Jul 2019
58 1,017 348 178 19.7 19.0 33.1 52.2
Aug 2019
62 1,033 331 211 21.0 20.0 31.0 51.0
Sep 2019
60 987 346 192 20.9 20.2 34.0 54.2
Oct 2019
65 1,046 409 158 21.9 20.6 37.9 58.5
Nov 2019
58 895 399 67 20.1 21.4 43.2 64.6
Dec 2019
63 956 427 75 21.1 21.7 43.3 65.0
Jan 2020
61 930 400 76 20.6 21.8 41.7 63.4
Feb 2020
61 940 399 70 21.8 21.3 41.2 62.5
Mar 2020
61 960 288 75 20.6 21.1 29.1 50.2
Apr 2020
52 822 41 13 18.0 20.8 4.8 25.6
May 2020
58 877 63 21 19.4 21.7 7.0 28.7
Jun 2020
68 1,049 42 28 23.7 21.5 3.9 25.3
Jul 2020
71 1,088 7 5 23.7 21.5 0.6 22.1
Aug 2020
59 904 90 83 19.8 21.5 9.6 31.1
Sep 2020
66 994 178 105 22.9 21.9 17.3 39.3
Oct 2020
57 874 241 113 19.8 21.6 26.7 48.3
Nov 2020
58 859 288 94 20.1 22.3 32.5 54.8
Dec 2020
64 950 243 61 21.5 22.3 24.8 47.1
Jan 2021
56 840 135 35 18.8 22.1 15.6 37.6
Feb 2021
53 801 139 26 19.7 21.8 16.8 38.6
Mar 2021
61 911 329 51 20.5 22.1 35.0 57.1
Apr 2021
62 925 367 110 21.5 22.1 38.4 60.5
May 2021
59 888 343 123 19.8 21.9 37.4 59.3
Jun 2021
59 905 283 164 20.6 21.6 30.3 51.9
Jul 2021
62 930 262 202 20.8 22.1 27.3 49.3
Aug 2021
64 957 238 213 21.4 22.0 24.1 46.1
Sep 2021
65 975 248 201 22.4 21.9 24.6 46.6
Oct 2021
53 802 279 137 17.8 21.8 33.8 55.6
Nov 2021
55 813 311 124 19.1 22.3 37.1 59.4
Dec 2021
60 893 344 140 20.1 22.1 37.3 59.4
Jan 2022
56 829 368 69 18.9 22.5 43.0 65.5
Feb 2022
53 781 371 42 19.7 22.4 46.1 68.5
Mar 2022
70 1,019 443 81 23.5 22.7 42.2 64.8
Apr 2022
66 986 439 73 22.8 22.0 43.2 65.2
May 2022
58 892 381 91 20.8 21.5 41.4 63.0
Jun 2022
71 1,082 354 217 24.7 21.7 31.7 53.4
Jul 2022
66 1,025 359 188 22.2 21.4 34.0 55.4
Aug 2022
82 1,255 379 283 27.6 21.7 29.3 50.9
Sep 2022
82 1,230 404 255 28.6 22.1 31.9 54.0
Oct 2022
62 962 396 122 20.9 21.4 39.9 61.3
Nov 2022
42 679 266 94 14.4 20.2 38.0 58.2
Dec 2022
0 0 0 0 0.0 0.0 0.0 0.0
Jan 2023
0 0 0 0 0.0 0.0 0.0 0.0
Feb 2023
0 0 0 0 0.0 0.0 0.0 0.0
Mar 2023
0 0 0 0 0.0 0.0 0.0 0.0
Apr 2023
0 0 0 0 0.0 0.0 0.0 0.0
May 2023
0 0 0 0 0.0 0.0 0.0 0.0
Jun 2023
0 0 0 0 0.0 0.0 0.0 0.0
Jul 2023
50 838 282 166 16.8 19.8 32.6 52.3
Aug 2023
40 675 245 113 14.3 19.5 35.2 54.7

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
Bates Troy Healthcare Linen Services 50.8 % 28.7 % 22.2 % 19.5 % 5,744 MWh
Top Peer 35.7 % 16.7 % 19.0 % 19.8 % 11,643 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)
86
kW
Total Generation (kWhA)
5,744,229
kWh
Heat Recovered
25,363
MMBtu
Gas Consumed
85,733
Mcf
FCECHP

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

58.0
% HHV
FCECHP

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

56.5
% 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.