-
Notifications
You must be signed in to change notification settings - Fork 31
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Tutorials for single module and multiple row with irradiance distribu… #127
Open
shirubana
wants to merge
3
commits into
SunPower:master
Choose a base branch
from
shirubana:master
base: master
Could not load branches
Branch not found: {{ refName }}
Loading
Could not load tags
Nothing to show
Loading
Are you sure you want to change the base?
Some commits from the old base branch may be removed from the timeline,
and old review comments may become outdated.
Open
Changes from all commits
Commits
File filter
Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
There are no files selected for viewing
518 changes: 518 additions & 0 deletions
518
docs/tutorials/1 - Beginner - Single Module Example.ipynb
Large diffs are not rendered by default.
Oops, something went wrong.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,211 @@ | ||
#!/usr/bin/env python | ||
# coding: utf-8 | ||
|
||
# # 1 - Beginner - Single Module Example | ||
# | ||
# This tutorial shows how to assign an array of irradiances as inputs to a module. It is assigning 12 values of irradiances Gpoat, 1 value to each row of six cells in a 12 x 6 module (72 cell module). | ||
|
||
# In[1]: | ||
|
||
|
||
import pvmismatch # this imports everything we need | ||
import numpy as np | ||
import seaborn as sns | ||
import pandas as pd | ||
|
||
|
||
# #### Inputs | ||
|
||
# In[2]: | ||
|
||
|
||
## Inputs: | ||
numcells = 72 | ||
Gpoat = [0.9, 0.9, 0.8, 0.7, 0.7, 0.8, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9] # kW/m2 units | ||
portraitorlandscape = 'portrait' | ||
|
||
|
||
# #### Select module type | ||
# | ||
# The stdpl matrix shows the placement of the cells in the module. The modules we are using are the standard PVMismatch modules, look at the references for the bypass diode groups, but because of this it does matter if the module is in ladscape or portrait. | ||
|
||
# In[3]: | ||
|
||
|
||
# cell placement for 'portrait'. | ||
if numcells == 72: | ||
stdpl=np.array([[0, 23, 24, 47, 48, 71], | ||
[1, 22, 25, 46, 49, 70], | ||
[2, 21, 26, 45, 50, 69], | ||
[3, 20, 27, 44, 51, 68], | ||
[4, 19, 28, 43, 52, 67], | ||
[5, 18, 29, 42, 53, 66], | ||
[6, 17, 30, 41, 54, 65], | ||
[7, 16, 31, 40, 55, 64], | ||
[8, 15, 32, 39, 56, 63], | ||
[9, 14, 33, 38, 57, 62], | ||
[10, 13, 34, 37, 58, 61], | ||
[11, 12, 35, 36, 59, 60]]) | ||
|
||
elif numcells == 96: | ||
stdpl=np.array([[0, 23, 24, 47, 48, 71, 72, 95], | ||
[1, 22, 25, 46, 49, 70, 73, 94], | ||
[2, 21, 26, 45, 50, 69, 74, 93], | ||
[3, 20, 27, 44, 51, 68, 75, 92], | ||
[4, 19, 28, 43, 52, 67, 76, 91], | ||
[5, 18, 29, 42, 53, 66, 77, 90], | ||
[6, 17, 30, 41, 54, 65, 78, 89], | ||
[7, 16, 31, 40, 55, 64, 79, 88], | ||
[8, 15, 32, 39, 56, 63, 80, 87], | ||
[9, 14, 33, 38, 57, 62, 81, 86], | ||
[10, 13, 34, 37, 58, 61, 82, 85], | ||
[11, 12, 35, 36, 59, 60, 83, 84]]) | ||
|
||
if portraitorlandscape == 'landscape': | ||
stdpl = stdpl.transpose() | ||
|
||
cellsx = len(stdpl[1]); cellsy = len(stdpl) | ||
|
||
|
||
|
||
|
||
# #### Let's create the type of module we want | ||
|
||
# In[4]: | ||
|
||
|
||
if cellsx*cellsy == 72: | ||
cell_pos = pvmismatch.pvmismatch_lib.pvmodule.STD72 | ||
elif cellsx*cellsy == 96: | ||
cell_pos = pvmismatch.pvmismatch_lib.pvmodule.STD96 | ||
|
||
pvmod=pvmismatch.pvmismatch_lib.pvmodule.PVmodule(cell_pos=cell_pos) | ||
|
||
|
||
# #### Let's make the system be just 1 module | ||
|
||
# In[5]: | ||
|
||
|
||
pvsys = pvmismatch.pvsystem.PVsystem(numberStrs=1, numberMods=1, pvmods=pvmod) | ||
|
||
|
||
# #### Create the pattern of irradiance based on the Gpoat input. | ||
# | ||
# We are assigning the gradient across the module for this case. | ||
|
||
# In[6]: | ||
|
||
|
||
G=np.array([Gpoat]).transpose() | ||
H = np.ones([1,cellsx]) | ||
array_det = np.dot(G,H) | ||
sns.heatmap(array_det, square = True) | ||
print("This is how our irradiance gradient looks accross the module") | ||
|
||
|
||
# #### Values under STC: | ||
# | ||
# This is under the default irradiance of 1000 W/m2 | ||
|
||
# In[7]: | ||
|
||
|
||
pvsys.plotSys() | ||
print ("Pmp: %f [W], Eff: %f [%%], FF: %f [%%]" % (pvsys.Pmp, pvsys.eff * 100., pvsys.FF * 100.)) | ||
print ("Imp: %f [A], Vmp: %f [V], Isc: %f [A], Voc: %f [V]" % (pvsys.Imp, pvsys.Vmp, pvsys.Isc, pvsys.Voc)) | ||
|
||
|
||
# #### Values with our irradiance profile: | ||
|
||
# In[8]: | ||
|
||
|
||
pvsys.setSuns({0: {0: [array_det, stdpl]}}) | ||
print ("Pmp: %f [W], Eff: %f [%%], FF: %f [%%]" % (pvsys.Pmp, pvsys.eff * 100., pvsys.FF * 100.)) | ||
print ("Imp: %f [A], Vmp: %f [V], Isc: %f [A], Voc: %f [V]" % (pvsys.Imp, pvsys.Vmp, pvsys.Isc, pvsys.Voc)) | ||
PowerDetailed=pvsys.Pmp | ||
pvsys.plotSys() | ||
|
||
|
||
# ### Calculating Mismatch | ||
# | ||
# The power derate, or Mismatch resulting from the module having a distribution of irradiances compared to just one single average irradiance value can be calculated by repeating the power calculation, now with the average irradiance assigned to the whole module, and then calculating the Mismatch: | ||
|
||
# #### First let's calculate the average irradiance value | ||
|
||
# In[9]: | ||
|
||
|
||
array_avg = np.ones([cellsy,cellsx])*np.mean(Gpoat) | ||
averageIrradiance = array_avg.mean() | ||
print(" The module's average irradiance is : %f [kW/m2]", averageIrradiance) | ||
print(" And each cell will see this value of irradiance: ") | ||
print (array_avg) | ||
|
||
|
||
# #### Let's assign the averaged irradiance array to the cells and calculate power. | ||
# | ||
# There's various ways, but they all do the same. | ||
# | ||
# Setting each cell: | ||
|
||
# In[10]: | ||
|
||
|
||
pvsys.setSuns({0: {0: [array_avg, stdpl]}}) # Sets each cell | ||
pvsys.plotSys() | ||
print ("Pmp: %f [W], Eff: %f [%%], FF: %f [%%]" % (pvsys.Pmp, pvsys.eff * 100., pvsys.FF * 100.)) | ||
print ("Imp: %f [A], Vmp: %f [V], Isc: %f [A], Voc: %f [V]" % (pvsys.Imp, pvsys.Vmp, pvsys.Isc, pvsys.Voc)) | ||
|
||
|
||
# Setting the Module: | ||
|
||
# In[11]: | ||
|
||
|
||
pvsys.setSuns({0: {0: averageIrradiance}}) # Sets the module | ||
pvsys.plotSys() | ||
print ("Pmp: %f [W], Eff: %f [%%], FF: %f [%%]" % (pvsys.Pmp, pvsys.eff * 100., pvsys.FF * 100.)) | ||
print ("Imp: %f [A], Vmp: %f [V], Isc: %f [A], Voc: %f [V]" % (pvsys.Imp, pvsys.Vmp, pvsys.Isc, pvsys.Voc)) | ||
|
||
|
||
# Setting the whole system (in this case is just 1 module): | ||
|
||
# In[12]: | ||
|
||
|
||
pvsys.setSuns(averageIrradiance) # Sets the whole system | ||
pvsys.plotSys() | ||
print ("Pmp: %f [W], Eff: %f [%%], FF: %f [%%]" % (pvsys.Pmp, pvsys.eff * 100., pvsys.FF * 100.)) | ||
print ("Imp: %f [A], Vmp: %f [V], Isc: %f [A], Voc: %f [V]" % (pvsys.Imp, pvsys.Vmp, pvsys.Isc, pvsys.Voc)) | ||
|
||
|
||
# As you can see, there are various ways to "setSuns". Some of them are described in the setSuns function: | ||
# (https://github.com/SunPower/PVMismatch/blob/master/pvmismatch/pvmismatch_lib/pvsystem.py) | ||
# | ||
# | ||
# This are the examples/options: | ||
# <ul> | ||
# <li> Ee={0: {0: {'cells': (0, 1, 2), 'Ee': (0.9, 0.3, 0.5)}}} </li> | ||
# <li> Ee=0.91 # set all modules in all strings to 0.91 suns </li> | ||
# <li> Ee={12: 0.77} # set all modules in string with index 12 to 0.77 suns </li> | ||
# <li> Ee={3: {8: 0.23, 7: 0.45}} # set module with index 8 to 0.23 suns and module with index 7 to 0.45 suns in string with index 3 </li> | ||
# </ul> | ||
|
||
# ##### Calculate the mismatch | ||
# | ||
# Now we have the power under average irradiance conditions, and we can calculate mismatch | ||
|
||
# In[13]: | ||
|
||
|
||
PowerAveraged=pvsys.Pmp # This is the "Ideal" | ||
|
||
|
||
# In[14]: | ||
|
||
|
||
Mismatch = (1 - PowerDetailed/PowerAveraged) | ||
print( " Electrical mismatch (power derate) is %f %%" % (Mismatch*100)) | ||
|
Oops, something went wrong.
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
@shirubana
Seaborn is currently not in the "requirements.txt". We can choose from these options.
1- Either add it as a dependency
2- make the change to Matplotlib's native matshow to show the same sort of heat map.
It may be preferred to keep the package with as few dependencies as possible but I'd leave it to your discretion.