NaTGenPD (National Thermal Generator Performance Database)

RESOURCE

Abstract

The National Thermal Generator Performance Database (NaTGenPD) is a code base used for the processing (extraction, cleaning, filtering, and fitting) and analysis of EPA CEMS data to produce a National Thermal Generator Performance Database.
Developers:
Buster, Grant [1] Rossol, Michael [1] Stephen, Gordon [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Release Date:
2019-09-17
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
Python
Jupyter Notebook
Licenses:
BSD 3-clause "New" or "Revised" License
Sponsoring Org.:
Code ID:
29462
Site Accession Number:
SWR-19-47
Research Org.:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Country of Origin:
United States

RESOURCE

Citation Formats

Buster, Grant, Rossol, Michael, and Stephen, Gordon. NaTGenPD (National Thermal Generator Performance Database). Computer Software. https://github.com/NREL/NaTGenPD. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind Energy Technologies Office (EE-4WE). 17 Sep. 2019. Web. doi:10.11578/dc.20201112.2.
Buster, Grant, Rossol, Michael, & Stephen, Gordon. (2019, September 17). NaTGenPD (National Thermal Generator Performance Database). [Computer software]. https://github.com/NREL/NaTGenPD. https://doi.org/10.11578/dc.20201112.2.
Buster, Grant, Rossol, Michael, and Stephen, Gordon. "NaTGenPD (National Thermal Generator Performance Database)." Computer software. September 17, 2019. https://github.com/NREL/NaTGenPD. https://doi.org/10.11578/dc.20201112.2.
@misc{ doecode_29462,
title = {NaTGenPD (National Thermal Generator Performance Database)},
author = {Buster, Grant and Rossol, Michael and Stephen, Gordon},
abstractNote = {The National Thermal Generator Performance Database (NaTGenPD) is a code base used for the processing (extraction, cleaning, filtering, and fitting) and analysis of EPA CEMS data to produce a National Thermal Generator Performance Database.},
doi = {10.11578/dc.20201112.2},
url = {https://doi.org/10.11578/dc.20201112.2},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20201112.2}},
year = {2019},
month = {sep}
}