case study: example of pv solar field in novo pro solar ... study of pv solar field in novo...
TRANSCRIPT
Solar Plant Commissioning
Capacity
(MWac)
AC to DC
Ratio Tracking Solar Panel Module
Northwest
Jacksonville Solar 2017 7.06 80.0%* North-South rows++Hanwha Q.Plus L-
G4.2 330
Old Plank Road Solar 2017 3 80.0%* Fixed tilt
Hanwha Q.Plus L-
G4.2 330**
Mount Signal Solar 1 2014 206 77.5% North-South rows FS-6420***
Solar Star 1 2014 314 78.9% North-South rows LG360Q1C-A5***
Solar Star 2 2014 266 76.0% North-South rows LG360Q1C-A5***
* Assumed according to the common practice in the indusry
** Assumed to be same as Jacksonville Solar as both of them are belong to JEA
***Assumed based on the information available on the web++The tracking axis is aligned parallel to longitude lines.
Case study: Example of PV Solar Field
in NOVO PRO®
Expert Program
© Thermoflow Inc 2019
This case study compares simulation results from NOVO PRO®
with the
plant actual performance for five solar plants. These plants have their
actual operating data available to the general public on-line, courtesy of
the plant owners.
Executive Summary
With maximum 6 inputs for each model, annual yields predicted by NOVO
PRO®
match with the real plants average annual outputs within ±5% for all
the five cases.
-3.3%-4.5%
3.8%
-1.6%-3.1%
-10%
-5%
0%
5%
10%
Northwest Jacksonville
Solar
Old Plank Road Solar
Mount Signal Solar 1
Solar Star 1 Solar Star 2
Annual Power Production NVP vs. Actual
© Thermoflow Inc 2019
Inputs to NOVO PRO®
Models
© Thermoflow Inc 2019
NOVO PRO® Inputs
Northwest
Jacksonville Solar
Old Plank
Road Solar
Mount Signal
Solar 1 Solar Star 1 Solar Star 2
Select Irradiance Data from
NVP database P P P P P
Select Ambient Data from NVP
database P P P P P
Input Inverter rated AC power
output P P P P P
Input Desired Inverter AC rating
/ Nominal panels DC rating P P P P P
Select Row Tilt / Tracking P P P P
Select PV Panel Model from
NVP Library / Set User-defined
Panel P P P P P
Northwest Jacksonville Solar plant
© Thermoflow Inc 2019
Yellow circle: JACKSONVILLE INTL ARPT, FL (# 722060) and the plant.
NOVO PRO®
is able to predict the plant
annual yield nicely, better than the onsite
prediction program which might have used
the onsite weather data.
0
500
1000
1500
2000
1/6
/20
17
1/8
/20
17
1/1
0/2
017
1/1
2/2
017
1/2
/20
18
1/4
/20
18
1/6
/20
18
1/8
/20
18
1/1
0/2
018
1/1
2/2
018
1/2
/20
19
MW
h
Monthly Power Production (MWh) Northwest Jacksonville
Inverters Site Performance Estimate NVP
-40%
-20%
0%
20%
40%
60%
80%
100%
1/6
/20
17
1/8
/20
17
1/1
0/2
017
1/1
2/2
017
1/2
/20
18
1/4
/20
18
1/6
/20
18
1/8
/20
18
1/1
0/2
018
1/1
2/2
018
1/2
/20
19
Monthly Deviation of Predicted PowerNorthwest Jacksonville
Site Performance Estimate NVP
12.3%
-3.3%
-10%
-5%
0%
5%
10%
15%
2018 Power Production vs. ActualNorthwest Jacksonville
Site Performance Estimate NVP
Note Jun & Jul 2018 data are taken out due to the inverter outputs are abnormally small .
© Thermoflow Inc 2019
Old Plank Road Solar Plant
© Thermoflow Inc 2019
Purple circle: the plant; yellow circle: JACKSONVILLE NAS, FL (# 722065)
Similar to Jacksonville plant, NOVO PRO®
is able to predict the plant annual yield nicely,
better than the onsite prediction program
which might have used the onsite weather
data.
-40%
-30%
-20%
-10%
0%
10%
20%
30%
1/1
2/2
017
1/1
/20
18
1/2
/20
18
1/3
/20
18
1/4
/20
18
1/5
/20
18
1/6
/20
18
1/7
/20
18
1/8
/20
18
1/9
/20
18
1/1
0/2
018
1/1
1/2
018
1/1
2/2
018
1/1
/20
19
1/2
/20
19
Monthly Deviation of Predicted Power
Old Plank Road
Predicted Onsite NVP
-4.5%
-11.5%
-15%
-10%
-5%
0%
5%2018 Power Production vs. Actual
Old Plank Road
NVP Predicted Onsite
150
250
350
450
550
650
1/1
2/2
017
1/1
/20
18
1/2
/20
18
1/3
/20
18
1/4
/20
18
1/5
/20
18
1/6
/20
18
1/7
/20
18
1/8
/20
18
1/9
/20
18
1/1
0/2
018
1/1
1/2
018
1/1
2/2
018
1/1
/20
19
1/2
/20
19
MW
h
Monthly Power Production (MWh)
Old Plank Road
Inverter Predicted Onsite NVP
© Thermoflow Inc 2019
Mount Signal Solar 1
© Thermoflow Inc 2019
Purple circle: the plant; yellow circle: yellow circle: IMPERIAL, CA (# 747185)
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
1 2 3 4 5 6 7 8 9 10 11 12
MW
h
Monthly Power Production
Mount Signal Solar 1
NVP 2014 2015 2016 2017
-10%
-8%
-6%
-4%
-2%
0%
2%
4%
6%
8%
10%
2014 2015 2016 2017
Yearly Power Production Deviation
Mount Signal Solar 1
© Thermoflow Inc 2019
Results from NOVO PRO®
match with real
plant outputs very well.
The biggest deviation in 2014 could be due
to plant instability at its commissioning stage.
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
60%
1 2 3 4 5 6 7 8 9 10 11 12
Monthly Power Production Deviation
Mount Signal Solar 1
2014 2015 2016 2017
Solar Star Plants
© Thermoflow Inc 2019
Purple circle: the plants; yellow circle: LANCASTER GEN WM FOX FIELD, CA (# 723816)
0
20,000
40,000
60,000
80,000
100,000
120,000
1 2 3 4 5 6 7 8 9 10 11 12
MW
h
Monthly Power Production
Solar Star 1
NVP 2015 2016 2017 2018
These three abnormal points are not included in
the deviation trends.
-10%
-8%
-6%
-4%
-2%
0%
2%
4%
6%
8%
10%
2015 2016 2017 2018
Yearly Power Production Deviation
Solar Star 1
© Thermoflow Inc 2019
Results from NOVO PRO®
match with real
plant outputs very well.
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
1 2 3 4 5 6 7 8 9 10 11 12
Monthly Power Production Deviation
Solar Star 1
2015 2016 2017 2018
0
20,000
40,000
60,000
80,000
100,000
120,000
1 2 3 4 5 6 7 8 9 10 11 12
MW
h
Monthly Power Production
Solar Star 2
NVP 2015 2016 2017 2018
-10%
-8%
-6%
-4%
-2%
0%
2%
4%
6%
8%
10%
2015 2016 2017 2018
Yearly Power Production Deviation
Solar Star 2
© Thermoflow Inc 2019
Results from NOVO PRO®
match with real
plant outputs very well.
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
1 2 3 4 5 6 7 8 9 10 11 12
Monthly Power Production Deviation
Solar Star 2
2015 2016 2017 2018
Conclusions
© Thermoflow Inc 2019
1. PV Solar Field in NOVO PRO®
is very user-friendly.
2. Only six inputs by the users each of the five plants.
3. Built-in databases (weather database, irradiance database, PV
panel library, etc.) are all available within the program.
4. Annual yields from NOVO PRO®
match with plant actual figures very
well (within ±5%) for all the five plants.
5. NOVO PRO’s results are even better than the onsite programs’
estimation for the first two plants, in which onsite prediction data are
available.