Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
Zur Ablage hinzufügen
  Lokale TagsFreigabegeschichteDetailsÜbersicht

Freigegeben
Zeitschriftenartikel

Pollution prevention through solvent selection and waste minimization

MPG-Autoren
/persons/resource/persons86375

Krewer,  Ulrike
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (beschränkter Zugriff)
Für Ihren IP-Bereich sind aktuell keine Volltexte freigegeben.
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte in PuRe verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Krewer, U., Liauw, M. A., Ramakrishna, M., Babu, M. H., & Raghavan, K. V. (2002). Pollution prevention through solvent selection and waste minimization. Industrial & Engineering Chemistry Research, 41(18), 4534-4542. doi:10.1021/ie020037n.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0013-A073-0
Zusammenfassung
To prevent pollution in chemical manufacturing processes, concepts respectively for solvent selection and waste minimization have been developed and improved. The first concept selects solvents for a given process that exhibit good environmental behavior in addition to good performance. For the performance test, relative and absolute solubility calculations of solvent-solute combinations are performed, and reactivity is estimated. The acceptable solvents are tested for important environmental characteristics such as global warming, ozone depletion, risk of fire and explosion, BOD5, and toxicity. Estimations of the risk of fire and explosion were made by implementing a model for solvent storage in the calculation of Dow's F&E index. The second concept helps minimize waste during manufacturing. Steinbach's concept of the balance yield BA is slightly varied and set into software. Both concepts are applied via software to manufacturing processes for NMSM. They identify the solvent DMSO as the most suitable solvent for the new process and highlight the most productive process, as well as the weak points of each process. Copyright © 2002 American Chemical Society [accessed 2013 August 19th]