Ionic Liquids as Thermal Energy Storage Materials: On the Importance of Reliable Data Analysis in Assessing Thermodynamic Data.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985858%3A_____%2F19%3A00511975" target="_blank" >RIV/67985858:_____/19:00511975 - isvavai.cz</a>

Result on the web

<a href="http://hdl.handle.net/11104/0302207" target="_blank" >http://hdl.handle.net/11104/0302207</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10953-018-0798-9" target="_blank" >10.1007/s10953-018-0798-9</a>

Result language

angličtina

Original language name

Ionic Liquids as Thermal Energy Storage Materials: On the Importance of Reliable Data Analysis in Assessing Thermodynamic Data.

Original language description

In spite of many statements on the application potential of ionic liquids, these organic salts present both advantages and drawbacks for their possible use in real processes. Nevertheless, they are still an undeniably fascinating class of compounds, both from the fundamental point of view and as promising task-specific materials. For instance, reliable thermal property data seem to be significantly lacking for pure ionic liquids. In addition, to assess the application potential of any material or process, a reliable analysis of experimental data is of key importance, not only to obtain recommended data, but also to be able to identify patterns in structure–property relationships, even if those may not seem evident at first sight. The aim of this work is to assess the potential application of a series of 1-alkyl-3-methylimidazolium saccharinate ionic liquids (alkyl standing for butyl, hexyl, octyl, and decyl) in thermal energy storage. To this end, heat capacity and energy density were determined experimentally by means of differential scanning calorimetry (DSC) and oscillating-tube densitometry. The experimental data were then analyzed by means of advanced data analysis methods based on mathematical gnostics. Based on the thermodynamic data and theory of measurement, mathematical gnostics is a novel non-statistical approach towards data uncertainty. As such it enables us to evaluate measurement uncertainty of statistically non-significant data sets containing as few as four data points. Also, using robust regression algorithms along a gnostic influence function, functional dependencies and structure–property patterns can be reliably determined.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10403 - Physical chemistry

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Solution Chemistry

ISSN

0095-9782

e-ISSN

—

Volume of the periodical

48

Issue of the periodical within the volume

7

Country of publishing house

US - UNITED STATES

Number of pages

13

Pages from-to

949-961

UT code for WoS article

000478750000003

EID of the result in the Scopus database

2-s2.0-85053280763