Pilot case: Mpangala farm - Part 2
Completion requirements
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Steps
- Compute the foreseen battery capacity and adjust it using the MDOD and margin factor.
Solution: Solution: 411.17 kWh
![[ Days \ of \ autonomy \ * \ Total \ daily \ load \ *\ Margin \ factor \ / \ MDOD ] [ Days \ of \ autonomy \ * \ Total \ daily \ load \ *\ Margin \ factor \ / \ MDOD ]](https://pok.kdevs.it/filter/tex/pix.php/08438fe2b7361d22c5c78a8bc58030f8.gif)
[The total daily load has to be taken from an average between full and medium occupancy scenario] - Adjust the datasheet values coming from the PV panel considering the expected average temperature during the year.
Solution:



with
and
the
and
temperature coefficients, respectively.
- Adjust the maximum required production using the expected array to load value.
Solution: 54.82 kWh![[Total \ daily \ load\ * \ array \ to \ load \ value] [Total \ daily \ load\ * \ array \ to \ load \ value]](https://pok.kdevs.it/filter/tex/pix.php/a6a279b88d5c2d878e1d55a0e6c01b6f.gif)
- Given the controller and PV panel data, calculate the foreseen daily energy production.
Solution:Solution: 1.37 kWh![[pvout*P_{max}^{module}*\eta_{inverter}*(1-systemlosses)] [pvout*P_{max}^{module}*\eta_{inverter}*(1-systemlosses)]](https://pok.kdevs.it/filter/tex/pix.php/0a33ca77cd8701404ff28631a23b5669.gif)
- Compute the minimum number of required PV modules.
Solution: 40![[ roundup(Adjusted \ total \ daily \ load/ forseendailyPVenergy ) ] [ roundup(Adjusted \ total \ daily \ load/ forseendailyPVenergy ) ]](https://pok.kdevs.it/filter/tex/pix.php/87c436e24357429bc75b10b4f458e0e1.gif)
- Determine the number of modules in series and of strings in parallel. Then, calculate the actual number of required PV modules.
Solution: 40![[modules \ in \ series \ = \ \frac{System \ nominal \ voltage}{ (module \ nominal \ voltage)} \ = \ 19.6 ~ 20 ] [modules \ in \ series \ = \ \frac{System \ nominal \ voltage}{ (module \ nominal \ voltage)} \ = \ 19.6 ~ 20 ]](https://pok.kdevs.it/filter/tex/pix.php/d1b0aa1db66e5e5da699f706d0bbd576.gif)
![[ strings \ in \ parallel\ = \ \frac{minimum \ number \ of \ modules}{modules \ in \ series}=2.04 ~ 2] [ strings \ in \ parallel\ = \ \frac{minimum \ number \ of \ modules}{modules \ in \ series}=2.04 ~ 2]](https://pok.kdevs.it/filter/tex/pix.php/0cf8d4082b0bd9aa384b9cd89837dd35.gif)
![[ Actual \ PV \ modules \ = \ (modules \ in \ series) \ * \ (strings \ in \ parallel) = 40] [ Actual \ PV \ modules \ = \ (modules \ in \ series) \ * \ (strings \ in \ parallel) = 40]](https://pok.kdevs.it/filter/tex/pix.php/e65b03198f8d1c1ed2517d29646cbcff.gif)
- Now choose the most suitable power converter among those reported in the proposed datasheet, without unnecessary oversizing.
Solution: Model 15k
[Model 15k has a rated DC input voltage of 600 V that matches with the voltage of the PV system, and it works at 230 V in AC side with a maximum of 15 kW. It also has 2 MPPT trackers that are perfect for the foreseen 2 strings of the plant. Furthermore, it has an integrated battery management system with a discharge peak of 16.5 kW that corresponds to 27.5 A of discharge current at an assumed 600 V battery voltage and a running current of 26.25 A per string. Therefore, all the requirements are met. Now the last step is to select the most suitable battery model in the market compatible with the chosen converter.]