Windfarm Operations and Maintenance cost-Benefit Analysis Tool
Project description
# WOMBAT: Winfarm Operations and Maintenance cost-Benefit Analysis Tool
This library provides a tool to simulate the operation and maintenance phase (O&M) of distributed, land-based, and offshore windfarms using a discrete event simultaion framework.
WOMBAT is written around the [Simpy](https://gitlab.com/team-simpy/simpy) framework for discrete event simulation framework. Additionally, this is supported using a flexible and modular object-oriented code base, which enables the modeling of arbitrarily large (or small) windfarms with as many or as few failure and maintenance tasks that can be encoded.
# Setup
## Requirements
Python 3.7+
## Installation
Download the latest version of [Miniconda](<https://docs.conda.io/en/latest/miniconda.html>) for the appropriate OS. Follow the remaining [steps](<https://conda.io/projects/conda/en/latest/user-guide/install/index.html#regular-installation>) for the appropriate OS version.
Using conda, create a new virtual environment: `text $ conda create -n <environment_name> python=3.7 --no-default-packages $ conda activate <environment_name> $ conda install -c anaconda pip # to deactivate: conda deactivate `
Install it directly into an activated virtual environment:
`text $ git clone https://github.com/WISDEM/WOMBAT.git $ cd wombat $ python setup.py install # $ pip install wombat - coming soon! `
or if you will be contributing:
`text $ git clone https://github.com/WISDEM/WOMBAT.git $ cd wombat $ pip install -e '.[dev]' # Required for automatic code formatting! $ pre-commit install `
or for documentation:
`text $ git clone https://github.com/WISDEM/WOMBAT.git $ cd wombat $ pip install -e '.[docs]' ` # Usage
After installation, the package can imported:
`text $ python >>> import wombat >>> wombat.__version__ `
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file wombat-0.3.0.tar.gz.
File metadata
- Download URL: wombat-0.3.0.tar.gz
- Upload date:
- Size: 8.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f69bcef063928ed8a01550d0a5e027210461426b85887360c1d96a01659928d8
|
|
| MD5 |
b07d9157d64a7e7e5c9b8cb911bdba97
|
|
| BLAKE2b-256 |
8bc71611ab004c7b059251da77b7fe6c69cd95f226d84645474b1dda698a0a41
|
File details
Details for the file wombat-0.3.0-py3-none-any.whl.
File metadata
- Download URL: wombat-0.3.0-py3-none-any.whl
- Upload date:
- Size: 8.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9911ca37a05ee82c3cf652b98b4a3262990e981c3dadb80b382b8f3e0233eef2
|
|
| MD5 |
2e03e701c9d4c0e767c5ce0f01af8a79
|
|
| BLAKE2b-256 |
53af188b228c53e9a66d678b8cdc74694cc704f1b56683824f0c02048c7af414
|