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PVSC48-Python-Tutorial

Computing tutorial with focus on PV computing packages, Python, data wrangling with Pandas, and data viz.
https://pvsc-python-tutorials.github.io/pvsc48-python-tutorial

Category: Sustainable Development
Sub Category: Education

Keywords

energy photovoltaics pvlib python solar tutorials

Keywords from Contributors

photovoltaic bifacial radiance renewable-energy renewables solar-energy

Last synced: 22 minutes ago
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Repository metadata

PVSC48 computing tutorial with focus on PV computing packages, Python, data wrangling with Pandas, and data viz

README.md

tutorialpromo

PVSC48-Python-Tutorial

PVSC48 computing tutorial with focus on PV computing packages, Python, data
wrangling with Pandas, and data viz

Tutorial Summary:

  • Tutorial 0: Introduction to the tutorial, the lesson plan, and resources (~30 minutes)
  • Tutorial 1: Access TMY weather data and visualize monthly irradiance data (~30 minutes)
  • Tutorial 2: Calculate solar position, plane-of-array irradiance, and
    visualize average daily insolation (30 minutes)
  • Tutorial 3: Estimate module temperature from ambient (~20 minutes)
  • Tutorial 4: Use POA irradiance and module temperature to model output power
    from a single module (~20 minutes)
  • Tutorial 5: Combine modules to form strings, calculate inverter efficiency
    and total array output (~independent study)
  • Tutorials Appendices: More tutorials on a variety of fun topics (~independent study)

Tutorial Setup

These tutorials are designed to run on Jupyter, a
browser based interactive notebook that allows you to run the tutorial in the
cloud without any additional setup. On the day of the tutorial, you can log
into the tutorial here.

THIS IS A 2-STEP PROCESS

The first time you visit the tutorial, you will need to create an account. Use
any username and password you like.

jupyter login

The first time you log into the tutorial, you will only see the scratch and shared-data folders.

first login

After you log in, you need to download the tutorial from this GitHub repository by following this
link:

You only need to download the repository once, but you can always use either link to start the tutorial during the conference.
From now on you will see the PVSC48-Python-Tutorial folder in the list.

download tutorial

Click the folder to open, and you'll see the full list. Click Tutorial 0 - Overview.ipynb to get started.

full list of tutorials

Sometimes, if you are idle too long, the tutorial dies. Just click the link to the tutorial again to reconnect.

https://pvsc-python-tutorial.eastus.cloudapp.azure.com/

Jupyter Book docs

The full tutorial is now also hosted as a beautiful Jupyter book. This book has navigation, search, and can even run code cells interactively. Check it out!

https://pvsc-python-tutorials.github.io/PVSC48-Python-Tutorial/index.html

My Binder

After the conference the tutorials will remain available here on GitHub, and you can run
the tutorial anytime in Binder by clicking the
following link:

Binder

Locally

You can also run the tutorial locally with
miniconda by following thes
steps:

  1. Install miniconda.

  2. Clone the repository:

    git clone https://github.com/PVSC-Python-Tutorials/PVSC48-Python-Tutorial.git

  3. Create the environment and install the requirements. The repository includes
    a requirements.txt file that contains a list the packages needed to run
    this tutorial. To install them using conda run:

    conda create -n pvsc48 jupyter -c pvlib --file requirements.txt
conda activate pvsc48

  4. Start a Jupyter session:

    jupyter notebook

  5. Use the file explorer in Jupyter lab to browse to PVSC48-Python-Tutorial
    and start the first Tutorial.

Licensing

This work is licensed under a Creative Commons Attribution 4.0 International License.

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GitHub Events

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Committers metadata

Last synced: about 1 year ago

Total Commits: 67
Total Committers: 4
Avg Commits per committer: 16.75
Development Distribution Score (DDS): 0.358

Commits in past year: 2
Committers in past year: 2
Avg Commits per committer in past year: 1.0
Development Distribution Score (DDS) in past year: 0.5

Name Email Commits
Mark Mikofski b****o@y****m 43
Silvana Ayala s****a@n****v 11
Kevin Anderson k****n@n****v 9
Jeff Newmiller j****r@d****m 4

Committer domains:

Issue and Pull Request metadata

Last synced: about 1 year ago

Total issues: 2
Total pull requests: 10
Average time to close issues: about 2 hours
Average time to close pull requests: 3 days
Total issue authors: 1
Total pull request authors: 3
Average comments per issue: 0.0
Average comments per pull request: 0.5
Merged pull request: 8
Bot issues: 0
Bot pull requests: 0

Past year issues: 1
Past year pull requests: 2
Past year average time to close issues: N/A
Past year average time to close pull requests: 7 days
Past year issue authors: 1
Past year pull request authors: 2
Past year average comments per issue: 0.0
Past year average comments per pull request: 0.0
Past year merged pull request: 2
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/pvsc-python-tutorials/pvsc48-python-tutorial

Top Issue Authors

  • mikofski (2)

Top Pull Request Authors

  • kandersolar (4)
  • mikofski (4)
  • shirubana (2)

Top Issue Labels

  • enhancement (1)
  • good first issue (1)
  • help wanted (1)

Top Pull Request Labels

  • documentation (1)
  • enhancement (1)

Dependencies

requirements.txt pypi
  • matplotlib ==3.3.4
  • numpy ==1.19.2
  • pandas ==1.2.3
  • pvlib ==0.8.1

Score: 4.477336814478207