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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10403 - Physical chemistry

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Journal of Solution Chemistry

ISSN

0095-9782

e-ISSN

—

Svazek periodika

48

Číslo periodika v rámci svazku

7

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

13

Strana od-do

949-961

Kód UT WoS článku

000478750000003

EID výsledku v databázi Scopus

2-s2.0-85053280763