NREL's Transportation Technology Total Cost of Ownership tool
Project description
T3CO : Transportation Technology Total Cost of Ownership Tool
Description
This repo houses T3CO (Transportation Technology Total Cost of Ownership), software for modeling total cost of ownership for commercial vehicles with advanced powertrains.
To get started, read the Quick Start Guide
For information on the T3CO models, go to the Overview
Usage
T3CO is a general framework allowing a user to determine the total cost of ownership (TCO) of a FASTSim vehicle (paired with a FASTSim DriveCycle(s) for determining fuel efficiency). The user can also determine performance of gradability, acceleration, and range. In addition to straight TCO computation there is also the option to optimize a vehicle powertrain such that it meets performance optional targets while also optionally minimizing TCO.
Installation
Installing From PyPI
T3CO can be easily installed from PyPI. This is the preferred method when using T3CO as a dependency for a project. To install the latest release:
pip install t3co
To install a specific version (for example T3CO v1.0.8):
pip install t3co==1.0.8
From GitHub
T3CO can also be installed directly from the GitHub repository for accessing demo input files and running T3CO using the Command Line Interface.
First, clone the repository from GitHub:
git clone https://github.com/NREL/T3CO.git T3CO
From within the Python environment Navigate to the parent directory containing the T3CO repository e.g. cd github/T3CO/
and run:
pip install -e .
This installs the local version of the T3CO clone along with all its dependencies.
Demo
Using the T3CO Config file
Create a new analysis_id
on ./t3co/resources/T3COConfig.csv
or update the existing rows and use them to run T3CO.
cd t3co
python sweep.py --analysis-id=0
Using Command Line Arguments
cd t3co
python sweep.py --skip_all_opt --selections [1,2,3,4,5] --dst_dir .t3co_results/demodata
using optimiztion in sweep module see
Acknowledgements
This tool was developed with funding support from the US Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE)'s Vehicle Technology Office.
DOE NREL Software Record: SWR-21-54
To cite T3CO
Lustbader, Jason, Panneer Selvam, Harish, Bennion, Kevin, Payne, Grant, Hunter, Chad, Penev, Michael, Brooker, Aaron, Baker, Chad, Birky, Alicia, Zhang, Chen, and Carow, Kyle. "T3CO (Transportation Technology Total Cost of Ownership) Open Source [SWR-21-54]." Computer software. September 16, 2024. https://github.com/NREL/T3CO. https://doi.org/10.11578/dc.20240806.4.
Project details
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
File details
Details for the file t3co-1.0.9.tar.gz
.
File metadata
- Download URL: t3co-1.0.9.tar.gz
- Upload date:
- Size: 6.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1a0faedc673e7aa13c94b24bcefd63b18e2fc2f13068e9398851502306079918 |
|
MD5 | e5d7cf2d06c8e6bd34474091f4863019 |
|
BLAKE2b-256 | 338a16be41d939f9e939bde18f177e76d630d9268a273ab576f353511db74b33 |
File details
Details for the file t3co-1.0.9-py3-none-any.whl
.
File metadata
- Download URL: t3co-1.0.9-py3-none-any.whl
- Upload date:
- Size: 6.1 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0796b21992c737b65273658306eb2e02866227012f63b276cfe806696b73bf31 |
|
MD5 | b27b8c34564cc99e6273040ac887ac94 |
|
BLAKE2b-256 | cd48851ccb98698863c1a9aa93dd8979fc23d1c527ec69bd24013a05a0b40f50 |