cocamide diethanolamine production, UPR, ecoinvent 3.6, Undefined

Categories:
ISIC4 categories:
C:Manufacturing/20:Manufacture of chemicals and chemical products/202:Manufacture of other chemical products/2023:Manufacture of soap and detergents, cleaning and polishing preparations, perfumes and toilet preparations
Location:
RER - Europe
Reference year: 2015 - 2020
Description

Location: RER - Europe
Cocamide diethanolamine is used mainly in the cosmetic industry. Cosmetic products contain between 1 to 25% of diethanolamine. Other uses for this product are: as a surfactants in soap, as a cleaning and delinting agent (Elbers 2013).
Reference(s):
Gendorf (2016) Umwelterklärung 2015, Werk Gendorf Industriepark, www.gendorf.de
Elbers, E. 2013. Some Chemicals Present in Industrial and Consumer Products, Food and Drinking-water. In IARC MONOGRAPHS ON THE EVALUATION OF CARCINOGENIC RISKS TO HUMANS, Vol.101, pp.141-148 WHO Press, Geneva.
For more information on the model please refer to the dedicate ecoinvent report, access it in the Report section of ecoQuery (http://www.ecoinvent.org/login-databases.html)
Undefined unit processes (UPRs) are the unlinked, multi-product activity datasets that form the basis for all of the system models available in the ecoinvent database. This is the way the datasets are obtained and entered into the database by the data providers. These activity datasets are useful for investigating the environmental impacts of a specific activity (gate-to-gate), without regard to its upstream or downstream impacts.

Technology

Cocamide diethanolamine can be produced from different reaction of diethanolamine with methyl cocoate, coconut oil, whole coconut acids, stripped coconut fatty acids. Cocamide diethanolamine is modelled here as the 1:1 reaction of coconut oil and diethanolamine. The reaction occurs at a maximum temperature of 170 degrees Celcius with the aid of an alkaline catalyst. The catalyst in not consider significant in terms of emissions for the reaction and it is therefore not included in this dataset and it is assumed to be taken into consideration in the input of chemical factory. The production process can also be a 1:2 fatty acids reaction. This results in a lower quality product with output of free diethanolamine and ethylene glycol (Elbers 2013).
Coconut oil composition varies, here it assumed an average composition CH3(CH2)12CONH2.
This inventory representing production of a particular chemical compound is at least partially based on a generic model on the production of chemicals. The data generated by this model have been improved by compound-specific data when available.
The model on production of chemicals is using specific industry or literature data wherever possible and more generic data on chemical production processes to fill compound-specific data gaps when necessary. The basic principles of the model have been published in literature (Hischier 2005, Establishing Life Cycle Inventories of Chemicals Based on Differing Data Availability). The model has been updated and extended with newly available data from the chemical industry.
In the model, unreacted fractions are treated in a waste treatment process, and emissions reported are after a waste treatment process that is included in the scope of this dataset. For volatile reactants, a small level of evaporation is assumed. Solvents and catalysts are mostly recycled in closed-loop systems within the scope of the dataset and reported flows are for losses from this system.
The main source of information for the values for heat, electricity, water (process and cooling), nitrogen, chemical factory is industry data from Gendorf. The values are a 5-year average of data (2011 - 2015) published by the Gendorf factory (Gendorf, 2016, Umwelterklärung, www.gendorf.de), (Gendorf, 2015, Umwelterklärung, www.gendorf.de), (Gendorf, 2014, Umwelterklärung, www.gendorf.de). The Gendorf factory is based in Germany, it produces a wide range of chemical substances. The factory produced 1657400 tonnes of chemical substances in the year 2015 (Gendorf, 2016, Umwelterklärung, www.gendorf.de) and 740000 tonnes of intermediate products.
Reference(s):
Hischier, R. (2005) Establishing Life Cycle Inventories of Chemicals Based on Differing Data Availability (9 pp). The International Journal of Life Cycle Assessment, Volume 10, Issue 1, pp 59–67. 10.1065/lca2004.10.181.7
Gendorf (2016) Umwelterklärung 2015, Werk Gendorf Industriepark, www.gendorf.de
Elbers, E. 2013. Some Chemicals Present in Industrial and Consumer Products, Food and Drinking-water. In IARC MONOGRAPHS ON THE EVALUATION OF CARCINOGENIC RISKS TO HUMANS, Vol.101, pp.141-148 WHO Press, Geneva.
For more information on the model please refer to the dedicate ecoinvent report, access it in the Report section of ecoQuery (http://www.ecoinvent.org/login-databases.html)

Process type
Unit
Supported nomenclature
ecoinvent 3.6
LCI modeling approach
Before modeling
Multifunctional modeling
NONE
Format
ECOSPOLD2
Aggregation type
NOT_APPLICABLE
Data provider
ecoinvent
Review status
External
Cost
For sale
License

ecoinvent EULA

Contact
support@ecoinvent.org