This report brings together all the basic energy statistics across the 5 POC sites in an easy to read template. The charts and tables are organised in bulletted sections and subsections. We have used statistical techniques to handle missing data (which happens from time to time due to site wiring or equipment damages, uninformed changes and router hang situations). A short summary is added by us on each section as our take. The report is in HTML format and can be opened from any modern browser.
All the data used are in the range Oct 1st to Feb 28th for a total of 5 sites. Except the DC Load section, which uses data for last 30 days from the date of this report. All data (fuel levels, events of DG, AC and DC electrical parameters) was automatically collected using IOT sensors and energy meters at a 1 minute frequency.
To start with let’s take a look at total AC kWh clocked for each site for each month.
Monthly GRID Energy used (kWh) | |||||
---|---|---|---|---|---|
Oct'21 | Nov'21 | Dec'21 | Jan'22 | Feb'22 | |
BagruUPG1 | 8,003 | 7,030 | 6,986 | 6,725 | 5,880 |
BagruUPG2 | 5,114 | 4,399 | 4,266 | 4,109 | 4,018 |
Dand01 | 5,005 | 5,193 | 5,249 | 3,506 | 3,333 |
Jobner | 7,489 | 7,056 | 7,085 | 6,813 | 6,507 |
Sawarda | 3,045 | 2,638 | 3,340 | 3,225 | 2,927 |
TOTAL | 28,657 | 26,316 | 26,925 | 24,377 | 22,664 |
Due to changing period each month (number of days in month and
missing periods of data), the captured grid kWh may not give a
representative trend month on month. Therefore we use
normalized data of exactly 30 days (720 hours) by apportioning
existing kWh for each month.
The trend & variance of kWh (per day per site) can be visualized much better in compact boxplot charts. The below box plot chart shows that data consistency is good for all sites (except for Dand in October when it wildly fluctuated, but Dand has become very consistent to its expected value in last couple of months). Bagru UPG1 is one site that shows a clear downward trend in EB consumption (perhaps due to a large share of electricity going to the air conditioners used).
Note on boxplot defaults. The taller the box the
greater is the volatility of the data points (kWh each day). The median
line is the solid horizontal line inside each box. The lower and upper
hinges correspond to the first and third quartiles (the 25th and 75th
percentile thresholds). The upper whisker extends from the hinge to the
largest value no further than 1.5 times IQR from the hinge (where IQR is
the inter-quartile range, or distance between the first and third
quartiles). The lower whisker extends from the hinge to the smallest
value at most 1.5 times of IQR of the hinge. Data beyond the end of the
whiskers are called “outlying” points and are plotted
individually.
DG Energy consumption is tracked using AC source number two in our AC energy meters. Except Dand where we did not get AC source of DG on a separate phase on all other sites we are able to capture the energy supplied by DG set directly in the energy meter without relying on ignition events.
Following is the kWh generated month wise by DG sets on each site.
Monthly DG Energy used (kWh) | |||||
---|---|---|---|---|---|
Oct'21 | Nov'21 | Dec'21 | Jan'22 | Feb'22 | |
BagruUPG1 | 1,097 | 1,067 | 998 | 1,024 | 963 |
BagruUPG2 | 774 | 759 | 748 | 713 | 726 |
Dand01 | 904 | 519 | 696 | 585 | 239 |
Jobner | 922 | 701 | 607 | 809 | 559 |
Sawarda | 994 | 654 | 667 | 814 | 791 |
TOTAL | 4,691 | 3,701 | 3,716 | 3,945 | 3,277 |
This is the split between Grid and DG energy aggregated over the entire 5 months time span.
DG Energy Generation as percent of total | |||
---|---|---|---|
Across the months Oct'21 to Feb'22} | |||
Grid | DG | Percent DG |
|
BagruUPG1 | 34,624 | 5,149 | 12.95% |
BagruUPG2 | 21,906 | 3,720 | 14.50% |
Dand01 | 23,288 | 2,943 | 11.20% |
Jobner | 34,949 | 3,597 | 9.35% |
Sawarda | 15,174 | 3,920 | 20.55% |
These are tables with Total Run hours (or use hours) of various energy sources, on a per site per month basis. Since the total hours in a month are 720 or 744 (for 31 days month) and there could be few hours of downtime every month, the monthly totals may not add up to exact available hours of the month. Sometimes the total may exceed the total available hours by a small amount. This is due to the reason of overlapping of two energy sources e.g. Battery & DG or DG & Mains.
BagruUPG1 | ||||
---|---|---|---|---|
Run hours | ||||
Month | Tot. Hrs in Mnth |
HOURS LOGGED | ||
EB | DG | BAT | ||
Oct'21 | 744 | 646 | 92 | 3 |
Nov'21 | 720 | 623 | 95 | 1 |
Dec'21 | 744 | 641 | 95 | 6 |
Jan'22 | 744 | 612 | 102 | 4 |
Feb'22 | 672 | 568 | 99 | 1 |
BagruUPG2 | ||||
---|---|---|---|---|
Run hours | ||||
Month | Tot. Hrs in Mnth |
HOURS LOGGED | ||
EB | DG | BAT | ||
Oct'21 | 744 | 620 | 108 | 2 |
Nov'21 | 720 | 622 | 103 | 0 |
Dec'21 | 744 | 639 | 113 | 0 |
Jan'22 | 744 | 637 | 113 | 0 |
Feb'22 | 672 | 576 | 102 | 1 |
Dand01 | ||||
---|---|---|---|---|
Run hours | ||||
Month | Tot. Hrs in Mnth |
HOURS LOGGED | ||
EB | DG | BAT | ||
Oct'21 | 744 | 598 | 89 | 58 |
Nov'21 | 720 | 628 | 51 | 40 |
Dec'21 | 744 | 616 | 71 | 56 |
Jan'22 | 744 | 629 | 65 | 50 |
Feb'22 | 672 | 620 | 32 | 20 |
Jobner | ||||
---|---|---|---|---|
Run hours | ||||
Month | Tot. Hrs in Mnth |
HOURS LOGGED | ||
EB | DG | BAT | ||
Oct'21 | 744 | 662 | 77 | 4 |
Nov'21 | 720 | 654 | 63 | 2 |
Dec'21 | 744 | 680 | 62 | 5 |
Jan'22 | 744 | 664 | 75 | 3 |
Feb'22 | 672 | 608 | 50 | 12 |
Sawarda | ||||
---|---|---|---|---|
Run hours | ||||
Month | Tot. Hrs in Mnth |
HOURS LOGGED | ||
EB | DG | BAT | ||
Oct'21 | 744 | 546 | 169 | 23 |
Nov'21 | 720 | 490 | 140 | 16 |
Dec'21 | 744 | 588 | 116 | 36 |
Jan'22 | 744 | 572 | 138 | 30 |
Feb'22 | 672 | 510 | 126 | 31 |
Run hour trends can be seen in this plot for all 3 energy sources. As you see maximum Grid energy is used in Jobner, max DG energy in Sawarda and max Battery is deployed in Dand. Battery is hardly used in Bagru and Jobner sites.
These reports give a quick idea of the DG sets performance for each site. The number of sites is small hence classification of DG sets is not yet possible. In the series of DG metrics you can see total fuel consumption, total refuel (net of drain), total run hours, idling hours, CPH & EER. CPH has been calculated by two methods.
The Second method will be closer to the actual CPH. EER, or Energy Exchange Ratio, as defined by us is Watt Hours per Litre and we should be the final measure of any DG set performance.
Month | Cons. Actual(L) |
Drain (L) |
Refuel Gross(L) |
Refuel Net(L) |
DG Run hrs Ignition |
DG Run hrs Connected |
DG Idle hrs Detected1 |
---|---|---|---|---|---|---|---|
BagruUPG1 | |||||||
Oct'21 | 407.6 | 0.0 | 419.5 | 419.5 | 92.41 | 83.61 | 3.99 |
Nov'21 | 392.1 | 0.0 | 397.6 | 397.6 | 94.74 | 76.80 | 3.56 |
Dec'21 | 374.3 | 0.0 | 352.4 | 352.4 | 94.60 | 86.35 | 5.35 |
Jan'22 | 393.6 | 0.0 | 405.3 | 405.3 | 101.68 | 96.87 | 4.53 |
Feb'22 | 393.3 | 85.2 | 452.0 | 366.8 | 99.14 | 93.22 | 5.93 |
BagruUPG2 | |||||||
Oct'21 | 407.1 | 0.0 | 430.8 | 430.8 | 108.28 | 88.47 | 14.16 |
Nov'21 | 380.8 | 0.0 | 405.3 | 405.3 | 102.77 | 82.36 | 9.57 |
Dec'21 | 405.5 | 0.0 | 358.1 | 358.1 | 113.01 | 97.06 | 15.13 |
Jan'22 | 403.6 | 0.0 | 401.3 | 401.3 | 113.06 | 100.14 | 11.97 |
Feb'22 | 379.6 | 19.6 | 419.8 | 400.2 | 101.55 | 87.29 | 14.22 |
Dand01 | |||||||
Oct'21 | - | - | - | - | - | - | - |
Nov'21 | 194.2 | 0.0 | 179.4 | 179.4 | 51.41 | - | - |
Dec'21 | 261.3 | 0.0 | 395.8 | 395.8 | 71.29 | - | - |
Jan'22 | 247.4 | 0.0 | 167.4 | 167.4 | 64.86 | - | - |
Feb'22 | 112.7 | 0.0 | 202.6 | 202.6 | 31.76 | - | - |
Jobner | |||||||
Oct'21 | 336.3 | 0.0 | 318.4 | 318.4 | 77.41 | 63.10 | 4.09 |
Nov'21 | 262.5 | 0.0 | 325.4 | 325.4 | 63.42 | 57.25 | 6.17 |
Dec'21 | - | - | - | - | - | 49.81 | 10.18 |
Jan'22 | 298.7 | 0.0 | 240.5 | 240.5 | 75.02 | 66.21 | 6.76 |
Feb'22 | 212.8 | 68.2 | 278.9 | 210.7 | 49.55 | 45.54 | 3.56 |
Sawarda | |||||||
Oct'21 | 462.9 | 0.0 | 434.4 | 434.4 | 168.93 | 160.70 | 1.53 |
Nov'21 | 396.2 | 0.0 | 404.7 | 404.7 | 139.85 | 106.70 | 1.48 |
Dec'21 | 330.5 | 0.0 | 341.2 | 341.2 | 115.80 | 105.36 | 1.30 |
Jan'22 | 392.8 | 0.0 | 380.9 | 380.9 | 137.59 | 136.12 | 1.06 |
Feb'22 | 362.0 | 0.0 | 351.2 | 351.2 | 126.46 | 125.65 | 0.79 |
1 DG idling is taken when Watt Hours supplied is zero while DG ignition is ON. Excludes missing watt hour periods |
EER | |||||
---|---|---|---|---|---|
Month | BagruUPG1 | BagruUPG2 | Dand01 | Jobner | Sawarda |
Oct'21 | 2,692 | 1,941 | 2,565 | 2,741 | 2,146 |
Nov'21 | 2,722 | 1,994 | 2,608 | 2,671 | 2,017 |
Dec'21 | 2,667 | 1,845 | 2,642 | 2,517 | 2,019 |
Jan'22 | 2,600 | 1,766 | 2,557 | 2,707 | 2,070 |
Feb'22 | 2,448 | 1,912 | 2,279 | 2,624 | 2,181 |
CPH | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|
Month | NET CPH1 | GROSS CPH | ||||||||
Bagru1 | Bagru2 | Dand | Jobner | Sawarda | Bagru1 | Bagru2 | Dand | Jobner | Sawarda | |
Oct'21 | 5.12 | 5.48 | - | 5.70 | 2.91 | 4.88 | 4.60 | - | 5.33 | 2.88 |
Nov'21 | 5.35 | 5.23 | - | 5.14 | 3.77 | 5.11 | 4.62 | 3.78 | 4.59 | 3.71 |
Dec'21 | 4.62 | 4.95 | - | 6.89 | 3.18 | 4.33 | 4.18 | 3.67 | 4.73 | 3.14 |
Jan'22 | 4.26 | 4.58 | - | 5.02 | 2.91 | 4.06 | 4.03 | 3.81 | 4.51 | 2.89 |
Feb'22 | 4.51 | 5.20 | - | 5.07 | 2.90 | 4.22 | 4.35 | 3.55 | 4.67 | 2.88 |
1 Net CPH = Fuel consumed per hour of DG running and connected to load |
Box plots reveal a lot more information about the distribution of DG run hours. As we see from the 5 box plot trends, Dand & Jobner have the lowest medians. Dand has a very close lower hinge in the box which means most data is close to the lowest data. We also see many outliers of high values in Dand. Since Dand has such a low median and 25 percentile line, it means the DG is getting fired several times for very short duration, which could be inefficient not just for DG battery life but for fuel economy also. Sawarda DG run hours are the most predictable with few outliers.
As we see the EER-variations are almost the same across sites (all box plots have same height). This indicates similar data accuracy across sites. We also see that Bagru2 has very low EER compared to any of the 30 KVA sites indicating a problem in the DG set. Sawarda DG is 25KVA hence is expected to be lower than the other 4.
TOP 10 DG IDLING CASES | ||||||
---|---|---|---|---|---|---|
Site | Date | Ignition Time | Connected Time | Idling Time | Fuel Consumed (Litres) |
Fuel CPH |
jobner001 | 2021-12-05 | 17856s (~4.96 hours) | 2520s (~42 minutes) | 15336s (~4.26 hours) | 10.8 | 2.2 |
jobner001 | 2021-12-16 | 13140s (~3.65 hours) | 6768s (~1.88 hours) | 6336s (~1.76 hours) | 10.4 | 2.8 |
jobner001 | 2021-12-06 | 7740s (~2.15 hours) | 2592s (~43.2 minutes) | 5148s (~1.43 hours) | 5.5 | 2.6 |
bagru2 | 2022-01-14 | 15228s (~4.23 hours) | 10260s (~2.85 hours) | 4968s (~1.38 hours) | 13.1 | 3.1 |
bagru2 | 2021-12-26 | 18324s (~5.09 hours) | 13428s (~3.73 hours) | 4896s (~1.36 hours) | 17.2 | 3.4 |
bagru2 | 2021-10-14 | 17064s (~4.74 hours) | 12708s (~3.53 hours) | 4320s (~1.2 hours) | 18.1 | 3.8 |
bagru2 | 2021-10-25 | 9252s (~2.57 hours) | 6120s (~1.7 hours) | 3132s (~52.2 minutes) | 8.7 | 3.4 |
bagru2 | 2021-10-20 | 18144s (~5.04 hours) | 15048s (~4.18 hours) | 3096s (~51.6 minutes) | 18.3 | 3.6 |
bagru2 | 2022-02-15 | 18216s (~5.06 hours) | 15120s (~4.2 hours) | 3096s (~51.6 minutes) | 17.4 | 3.4 |
bagru2 | 2021-12-18 | 13356s (~3.71 hours) | 10332s (~2.87 hours) | 3024s (~50.4 minutes) | 14.9 | 4.0 |
The underlying data used for all the above reports can be seen in the following daily energy plots. The light blue solid line is the statistically interpolated EB kWh data, red line is the DG kWh and the dark blue smoothed line at the top is the total AC kWh (sum of EB and DG kWh).
Note: the light grey dashed lines inside EB and DG line charts are from the raw data if no interpolation was performed.
Note: Underlying raw data in csv format can be supplied for all the
above charts.
DC load contributes the biggest energy consumption for any BTS site. The DC load pattern for the full day is different for each site depending on the radio equipment used as well as the mix of load e.g. for Transmission / Back Haul Optical equipment the DC load will be mostly stationary throughout the day.
All 5 sites have a unique DC load distribution over the day. The higher the Inter Quartile Range (IQR) the better the off hour load reduction.
If we see median load for each day in last 90 days, we see the load
is mostly flat for all except jobner site.
Missing data is an important metric for the overall quality of the IOT project. We should strive to get this value to zero for all sites. The following plot shows missed or incorrect data measured in downtime hours per month for each site. The Heavy Outage in Dand seen in Jan and Feb was due to the uninformed changes done by Airtel SPS/AC source wiring/configuration resulting in reduced AC wattage measured for the period. Omnicomm technician had to do a rewiring at site. This caused a dip in total AC wattage measure for almost 20 days starting Jan 20th.
When we examined missing data for fuel, the top fuel sensor outage occured for the site : Jobner in the month Dec’21 for a total period of 312 hours. There was a net fuel level difference across this outage period starting on Dec 18 of 158.1 litres.