File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

임한권

Lim, Hankwon
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Techno-economic ionic liquid-based capturing, electrochemical reduction, and hydrogenation of carbon dioxide in the simultaneous production of formic acid and biomethane

Author(s)
Syauqi, AhmadNingtyas, Juli AyuChaniago, Yus DonaldLim, Hankwon
Issued Date
2024-03
DOI
10.1016/j.jclepro.2024.141211
URI
https://scholarworks.unist.ac.kr/handle/201301/82327
Citation
JOURNAL OF CLEANER PRODUCTION, v.446, pp.141211
Abstract
CO2 utilization is vital for mitigating climate change by converting CO2 into valuable products, promoting environmental protection and resource efficiency. Novel pathways for CO2 utilization to produce formic acid are proposed namely solute phase electroreduction, gas phase electroreduction, and hydrogenation, are investigated. Employing multi-objective optimization with a deep neural network surrogate model, this study identifies optimal process conditions balancing capital and operational expenditures. The result shows that CO2 hydrogenation ($868 ton -1) exhibits the lowest production cost followed by gas-phase electroreduction ($986 ton -1) and solute-phase electroreduction ($2103 ton -1). The result also shows that without any intervention at all only hydrogenation can generate profit. Furthermore, an in-depth analysis of CO2 emissions indicates that gas phase electroreduction results in the lowest CO2 emissions (0.7 kg CO2 kgHCOOH- 1) among the examined pathways. Insights from our research suggest a minimum current density of 417.3 mA cm -2 is recommended to achieve at least parity with hydrogenation in terms of production cost. To push the commercialization of gas-phase electroreduction, besides current density improvement, electricity cost reduction, and carbon trading mechanism is proposed to reduce the production cost.
Publisher
ELSEVIER SCI LTD
ISSN
0959-6526
Keyword (Author)
Formic acidCO2 captureIonic liquidElectroreductionHydrogenationDeep neural network
Keyword
CO2 CAPTUREMULTIOBJECTIVE OPTIMIZATIONCORROSIONSIMULATIONBEHAVIORWATERDMSO

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.