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OPTICHEM (OPTimizer for Industrial CHEMical pathways) [SWR-25-70]

RESOURCE

Publicly Accessible Repository
https://github.com/NREL/OPTICHEM
https://doi.org/10.11578/dc.20250811.2

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Abstract

Using alternative feedstocks such as biomass and waste could help the chemical sector address growing challenges from supply chain disruptions. This project aims to identify optimal combinations of chemical production pathways that achieve user-defined priorities within set resource constraints. This project contains two main Python modules that work together to perform multi-objective optimization of feedstock usage and post-optimization analysis. The outputs from both modules (e.g., CSV files, PDF diagrams, HTML reports, and pickle files) are automatically saved in dedicated output folders. The folder names include key parameters such as the optimization metric, target year, and whether 2030 results are fixed.
Developers:
ORCID [1] ;  ORCID [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Release Date:
2025-07-02
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
HTML
Licenses:
BSD 3-clause "New" or "Revised" License
Sponsoring Org.:
Code ID:
160369
Site Accession Number:
NREL SWR-25-70
Research Org.:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/NREL/OPTICHEM
https://doi.org/10.11578/dc.20250811.2

SAVE / SHARE



NREL Badge

Citation Formats

Ghosh, Tapajyoti, and Uekert, Taylor. OPTICHEM (OPTimizer for Industrial CHEMical pathways) [SWR-25-70]. Computer Software. https://github.com/NREL/OPTICHEM. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Bioenergy Technologies Office (BETO). 02 Jul. 2025. Web. doi:10.11578/dc.20250811.2.
Ghosh, Tapajyoti, & Uekert, Taylor. (2025, July 02). OPTICHEM (OPTimizer for Industrial CHEMical pathways) [SWR-25-70]. [Computer software]. https://github.com/NREL/OPTICHEM. https://doi.org/10.11578/dc.20250811.2.
Ghosh, Tapajyoti, and Uekert, Taylor. "OPTICHEM (OPTimizer for Industrial CHEMical pathways) [SWR-25-70]." Computer software. July 02, 2025. https://github.com/NREL/OPTICHEM. https://doi.org/10.11578/dc.20250811.2.
@misc{ doecode_160369,
title = {OPTICHEM (OPTimizer for Industrial CHEMical pathways) [SWR-25-70]},
author = {Ghosh, Tapajyoti and Uekert, Taylor},
abstractNote = {Using alternative feedstocks such as biomass and waste could help the chemical sector address growing challenges from supply chain disruptions. This project aims to identify optimal combinations of chemical production pathways that achieve user-defined priorities within set resource constraints. This project contains two main Python modules that work together to perform multi-objective optimization of feedstock usage and post-optimization analysis. The outputs from both modules (e.g., CSV files, PDF diagrams, HTML reports, and pickle files) are automatically saved in dedicated output folders. The folder names include key parameters such as the optimization metric, target year, and whether 2030 results are fixed.},
doi = {10.11578/dc.20250811.2},
url = {https://doi.org/10.11578/dc.20250811.2},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20250811.2}},
year = {2025},
month = {jul}
}