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Cited by 371

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Development of an ASPEN PLUS physical property database for biofuels components

Open access
Wooley, R.J., Putsche, V.·1996

Abstract

Physical property data for many of the key components used in the simulation for the ethanol from lignocellulose process are not available in the standard ASPEN PLUS property databases. Indeed, many of the properties necessary to successfully simulate this process are not available anywhere. In addition, inputting the available properties into each simulation is awkward and tedious, and mistakes can be easily introduced when a long list of physical property equation parameters is entered. Therefore, one must evaluate the literature, estimate properties where necessary, and determine a set of consistent physical properties for all components of interest. The components must then be entered into an in-house NREL ASPEN PLUS database so they can be called on without being retyped into each specific simulation. The first phase of this work is complete. A complete set of properties for the currently identifiable important compounds in the ethanol process is attached. With this as the starting base the authors can continue to search for and evaluate new properties or have properties measured in the laboratory and update the central database.

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Crossref · 10.2172/257362

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Metadata

Authors
Wooley, R. J., & Putsche, V.
Published
1996-04-01
OpenAlex
W2151267880
Cited by
371
References
15
Type
report
Language
en
Open access
gold

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CoChat. (2026). Citation check: Development of an ASPEN PLUS physical property database for biofuels components. https://app.cochat.ai/papers/10.2172/257362
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Wooley, R. J., & Putsche, V. (1996). Development of an ASPEN PLUS physical property database for biofuels components. https://doi.org/10.2172/257362

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.