Yield Sooting Index Database: Sooting Tendencies of Fuel Compounds

A database of experimentally measured Yield Sooting Indices (YSI) for pure compounds and fuel mixtures, characterizing their intrinsic propensity to produce soot in combustion. Volume 2 combines measurements from Volume 1 onto a unified scale and adds new compounds. The dataset was compiled by Charles S. McEnally of Yale University, with new versions expected periodically.

Use Cases

• Predicting soot emissions from novel fuel blends based on the Yield Sooting Index (YSI) scale.
• Training machine learning models to correlate molecular structure with sooting tendency using the experimental YSI values.
• Validating and calibrating computational fluid dynamics (CFD) combustion models with standardized sooting tendency data.
• Screening and ranking fuel compounds for cleaner combustion based on their measured intrinsic sooting propensity.

Strengths

• Data is based on experimental measurements of Yield Sooting Indices.
• Volume 2 provides a unified scale combining previous measurements with new compounds.
• The dataset is associated with a researcher from Yale University.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Charles S. McEnally, Yale University

Collection Method

Experimentally measured Yield Sooting Indices (YSI).