Predictive Group Contribution Models for the Thermophysical Properties of Ionic Liquids

  1. Home
  2. Research
  3. Publications

abstract

Ionic liquids have been the object of intense interest from both academic and industrial research groups aiming at a wide range of applications in novel processes and products. The knowledge of their thermophysical properties, or the ability to estimate them, is often required for the design of these processes and products. However, experimental data for many properties are in short supply and often contradictory among various sources available. Based on experimental data collected from the literature, predictive group contribution models were developed after a critical analysis of the data for various thermophysical properties, viz. density, viscosity, surface tension, speed of sound, refractive index, heat capacity, electrical conductivity, thermal conductivity, isobaric expansivity, and isothermal compressibility, of various families of ionic liquids. The results of the proposed models show average absolute relative deviations generally of the same orderas the experimental accuracy of the data itself. These rapid and facile predictive models are very easy to use, can provide predictions of property values for the new ionic liquids, and also allow them to be extended to new groups of cations and anions as further data become available.

authors

Coutinho JAP, Gardas RL

our authors

foto João Manuel Costa Araújo Pereira Coutinho

João Manuel Costa Araújo Pereira Coutinho

Director

Groups

G4 - Renewable Materials and Circular Economy

Other

Share this project:

Related Publications

Publication Details

type
Book Chapter
year
2009
Book Title
Ionic Liquids: From Knowledge to Application
editors
Plechkova NV, Rogers RD, Seddon KR
volume
1030
publisher
ACS Symp Series 1030
isbn
9780841269972
book digital object identifier
10.1021/bk-2009-1030.ch025

Citations

Social Interaction

We use cookies for marketing activities and to offer you a better experience. By clicking “Accept Cookies” you agree with our cookie policy. Read about how we use cookies by clicking "Privacy and Cookie Policy".


Privacy and Cookie Policy

Personal data

CICECO-Aveiro Institute of Materials respects your privacy, ensuring confidentiality of personal data you share with the institution through this way, not collecting any personal information about you without your consent, under the terms required by General Data Protection Regulations (RGPD).

The data collected in forms are intended exclusively for processing user requests and will not be used for any other purpose, always safeguarding their confidentiality, under the terms of the protection conferred by the aforementioned regulation.

The collection and processing of data is the responsibility of CICECO and its storage is properly protected, only authorized CICECO employees can access the information within the scope of their functions, always being clear in the respective collection forms the purposes for which they are intended. The remaining issues to be considered in this matter will be handled by the University of Aveiro in accordance with the regime established by the GDPR.

Cookies policy

Cookies are small files with alphanumeric information that are stored on your computer's hard drive by your browser and are intended to improve the user experience and enhance website navigation.

Collection and use of technical information

The cookies used on CICECO are anonymous, and no information about our users that allows their personal identification is stored in them.

The technical information recorded consists of:

  • iP (Internet Protocol) address of the visitor;
  • the type of internet browser used by the website visitor and the respective operating system used;
  • the date and time of the consultation;
  • the pages visited on the site and the documents downloaded
  • The technical information collected is used for statistical purposes only.

Cookies used

Session cookies

These cookies are used to record user preferences, such as the language in which websites are displayed or to maintain authenticated user sessions, and are automatically deleted when the browser is closed.

Persistent cookies

These cookies store information that is needed between sessions. For example, a persistent cookie is set to record that you have been made aware of the cookie policy so that the message regarding this policy is not shown again the next time you visit the website. This cookie remains on the computer until it reaches its expiry date or is deleted by the user.

Data protection

The present privacy policy covers the Information System of the University of Aveiro (SIUA), governed by the General Data Protection Regulations (RGPD) Regulation (EU) No. 2016/679, of April 27th, 2016.

Data Protection Officer

The University of Aveiro has a Data Protection Officer (DPO), who ensures compliance of the processing of personal data with the legislation in force, and is available through the following email address epd@ua.pt.

Close