Skip to main content

PyEmission is a Python library for the estimation of gasoline vehicular emissions and fuel consumption

Project description

PyEmission

Python Library for Vehicular Emission Estimation (PyEmission)

PyEmission is a Python library for estimation of gasoline vehicular emissions and fuel consumption. This tool covers a wide range of light duty motor vehicles including passenger car, SUV, passenger truck, and light commercial truck. The tool only takes second-by-second driving cycle and vehicle characteristics data as inputs and generate results of vehicular emissions (CO2, CO, NOx, and HC) and fuel consumption.

A detailed description of this software methodology can be found in this Journal Article.

User Manual

Please find the user manual here

Other Software

Idaho National Laboratory is a cutting edge research facility which is a constantly producing high quality research and software. Feel free to take a look at our other software and scientific offerings at:

Primary Technology Offerings Page

Supported Open Source Software

Raw Experiment Open Source Software

Unsupported Open Source Software

License

You may obtain a copy of the License at https://opensource.org/licenses/Apache-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Licensing

This software is licensed under the terms you may find in the file named "LICENSE" in this GitHub repository.

Developers

By contributing to this software project, you are agreeing to the following terms and conditions for your contributions:

You agree your contributions are submitted under the Apache-2 license. You represent you are authorized to make the contributions and grant the license. If your employer has rights to intellectual property that includes your contributions, you represent that you have received permission to make contributions and grant the required license on behalf of that employer.

Authors

Md Mamunur Rahman (mdmamunur.rahman@inl.gov)

Ruby Thuy Nguyen (ruby.nguyen@inl.gov)

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

PyEmission-0.3.8.tar.gz (52.2 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page