Canandaigua #1
- Snapshot
- Monthly Table
- Monthly Plot
- Time Series
- Ambient Temp
- Benchmark
- Data
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
Factor
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
Electricity Generated (kWh) | Capacity Factor (%) | |
---|---|---|
Total | 20,653,737 | 11.7 |
Dec 2016 |
12,650 | 0.7 |
Jan 2017 |
82,488 | 4.5 |
Feb 2017 |
164,384 | 9.8 |
Mar 2017 |
196,105 | 10.6 |
Apr 2017 |
285,725 | 15.9 |
May 2017 |
275,903 | 14.9 |
Jun 2017 |
347,263 | 19.4 |
Jul 2017 |
337,946 | 18.2 |
Aug 2017 |
337,914 | 18.2 |
Sep 2017 |
300,681 | 16.8 |
Oct 2017 |
231,199 | 12.5 |
Nov 2017 |
129,205 | 7.2 |
Dec 2017 |
65,936 | 3.6 |
Jan 2018 |
88,380 | 4.8 |
Feb 2018 |
130,469 | 7.8 |
Mar 2018 |
262,091 | 14.2 |
Apr 2018 |
213,459 | 11.9 |
May 2018 |
348,673 | 18.8 |
Jun 2018 |
331,714 | 18.5 |
Jul 2018 |
382,837 | 20.7 |
Aug 2018 |
297,258 | 16.1 |
Sep 2018 |
263,506 | 14.7 |
Oct 2018 |
159,242 | 8.6 |
Nov 2018 |
78,474 | 4.4 |
Dec 2018 |
70,676 | 3.8 |
Jan 2019 |
61,323 | 3.3 |
Feb 2019 |
108,424 | 6.5 |
Mar 2019 |
232,770 | 12.6 |
Apr 2019 |
239,406 | 13.4 |
May 2019 |
260,724 | 14.1 |
Jun 2019 |
322,467 | 18.0 |
Jul 2019 |
326,314 | 17.6 |
Aug 2019 |
324,663 | 17.5 |
Sep 2019 |
286,640 | 16.0 |
Oct 2019 |
210,909 | 11.4 |
Nov 2019 |
114,018 | 6.4 |
Dec 2019 |
79,702 | 4.3 |
Jan 2020 |
62,416 | 3.4 |
Feb 2020 |
125,726 | 7.3 |
Mar 2020 |
235,885 | 12.7 |
Apr 2020 |
243,402 | 13.6 |
May 2020 |
329,573 | 17.8 |
Jun 2020 |
383,246 | 21.4 |
Jul 2020 |
375,376 | 20.3 |
Aug 2020 |
346,617 | 18.7 |
Sep 2020 |
243,129 | 13.6 |
Oct 2020 |
189,335 | 10.2 |
Nov 2020 |
130,620 | 7.3 |
Dec 2020 |
61,765 | 3.3 |
Jan 2021 |
53,228 | 2.9 |
Feb 2021 |
124,209 | 7.4 |
Mar 2021 |
290,756 | 15.7 |
Apr 2021 |
261,382 | 14.6 |
May 2021 |
328,972 | 17.8 |
Jun 2021 |
328,707 | 18.3 |
Jul 2021 |
295,979 | 16.0 |
Aug 2021 |
319,685 | 17.3 |
Sep 2021 |
270,221 | 15.1 |
Oct 2021 |
180,425 | 9.7 |
Nov 2021 |
147,326 | 8.2 |
Dec 2021 |
94,795 | 5.1 |
Jan 2022 |
75,666 | 4.1 |
Feb 2022 |
104,869 | 6.3 |
Mar 2022 |
212,897 | 11.5 |
Apr 2022 |
259,602 | 14.5 |
May 2022 |
210,724 | 11.4 |
Jun 2022 |
306,172 | 17.1 |
Jul 2022 |
333,876 | 18.0 |
Aug 2022 |
298,480 | 16.1 |
Sep 2022 |
232,845 | 13.0 |
Oct 2022 |
160,798 | 8.7 |
Nov 2022 |
155,155 | 8.7 |
Dec 2022 |
84,560 | 4.6 |
Jan 2023 |
58,397 | 3.2 |
Feb 2023 |
141,078 | 8.4 |
Mar 2023 |
171,899 | 9.3 |
Apr 2023 |
251,884 | 14.1 |
May 2023 |
368,254 | 19.9 |
Jun 2023 |
284,860 | 15.9 |
Jul 2023 |
299,583 | 16.2 |
Aug 2023 |
273,539 | 14.8 |
Sep 2023 |
261,034 | 14.6 |
Oct 2023 |
157,444 | 8.5 |
Nov 2023 |
115,443 | 6.4 |
Dec 2023 |
70,459 | 3.8 |
Jan 2024 |
37,887 | 2.0 |
Feb 2024 |
169,745 | 9.8 |
Mar 2024 |
218,353 | 11.8 |
Apr 2024 |
214,267 | 12.0 |
May 2024 |
290,585 | 15.7 |
Jun 2024 |
274,445 | 15.3 |
Jul 2024 |
259,881 | 14.0 |
Aug 2024 |
258,466 | 14.0 |
Sep 2024 |
239,877 | 13.4 |
Oct 2024 |
235,204 | 12.7 |
Nov 2024 |
131,948 | 7.4 |
Dec 2024 |
49,245 | 3.6 |
Production data is not in real time and may be delayed as data is periodically reported and uploaded to this website.
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.
Production data is not in real time and may be delayed as data is periodically reported and uploaded to this website.
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.
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.
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.
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.
Capacity Factor |
Electric Generation |
|
---|---|---|
Canandaigua #1 | 11.7 % | 20,654 MWh |
Top Peer | 14.4 % | 9,017 MWh |
Average Peer | 11.7 % | 13,224 MWh |
Peer Criteria
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.