Abstract
Lipid processing covers several oil and fats technologies such as: edible oil production, biodieselproduction, oleochemicals (e.g.: food additives, detergents) and pharmaceutical product manufacturing. New demands regarding design and development of better products and more sustainable processes related to lipids technology, emerge according to consumers demanding improved product manufacturing from sustainable resources and new legislation regarding environmental safety [1]. Physical and thermodynamic property data and models for prediction of pure compound properties and mixtures properties involving lipids represent the basic and most important requirements for process product design, simulation and optimization. Experimentally measured values of involved compounds are desirable, but in most of the cases these are not available for all the compounds and properties needed. The lack of properties is even larger formixtures properties. Therefore there is a highly need of predictive properties models.
Original language | English |
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Publication date | 2016 |
Number of pages | 2 |
Publication status | Published - 2016 |
Event | 2016 AIChE Annual Meeting - Hotel Nikko San Francisco, San Francisco, CA, United States Duration: 13 Nov 2016 → 19 Nov 2016 http://www.aiche.org/conferences/aiche-annual-meeting/2016 |
Conference
Conference | 2016 AIChE Annual Meeting |
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Location | Hotel Nikko San Francisco |
Country/Territory | United States |
City | San Francisco, CA |
Period | 13/11/2016 → 19/11/2016 |
Internet address |