Accurate prediction of CO2 solubility in eutectic mixture of levulinic acid (or furfuryl alcohol) and choline chloride. (March 2017)
- Record Type:
- Journal Article
- Title:
- Accurate prediction of CO2 solubility in eutectic mixture of levulinic acid (or furfuryl alcohol) and choline chloride. (March 2017)
- Main Title:
- Accurate prediction of CO2 solubility in eutectic mixture of levulinic acid (or furfuryl alcohol) and choline chloride
- Authors:
- Tatar, Afshin
Barati-Harooni, Ali
Najafi-Marghmaleki, Adel
Bahadori, Alireza - Abstract:
- Highlights: CHPSO-ANFIS and GEP models are developed to predict CO2 solubility in eutectic mixtures. The models performance is evaluated through various graphical and statistical approaches. It is found that the proposed models exhibit reliable results. Results show that the CHPSO-ANFIS model was better than GEP model. Abstract: This research presents the application of two predictive models named adaptive neuro fuzzy inference system optimized by combination of hybrid and particle swarm optimization methods (CHPSO-ANFIS) and gene expression programming (GEP) for estimation of CO2 solubility in a deep eutectic solvent based on mixtures of levulinic acid or furfuryl alcohol and choline chloride. The input parameters of both models were temperature, pressure, and ratio of mole of levulinic acid and furfuryl alcohol to mole of choline chloride. The output parameter of model was the solubility of CO2 . Results demonstrate that the predictions of developed models are in acceptable agreement with experimental data. However, the CHPSO-ANFIS model provides more accurate results compared to GEP model. The overall R 2 and AARD% values of proposed CHPSO-ANFIS model were 0.999 and 1.07 and for GEP model were 0.995 and 3.63 respectively. The developed model and correlation are effective in providing quick and accurate predictions of CO2 solubility without conducting any time consuming and difficult experimental measurements.
- Is Part Of:
- International journal of greenhouse gas control. Volume 58(2017)
- Journal:
- International journal of greenhouse gas control
- Issue:
- Volume 58(2017)
- Issue Display:
- Volume 58, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 58
- Issue:
- 2017
- Issue Sort Value:
- 2017-0058-2017-0000
- Page Start:
- 212
- Page End:
- 222
- Publication Date:
- 2017-03
- Subjects:
- CO2 -- Carbon capture -- Solubility -- Choline chloride -- CHPSO-ANFIS -- GEP
Greenhouse gases -- Environmental aspects -- Periodicals
Air -- Purification -- Technological innovations -- Periodicals
Gaz à effet de serre -- Périodiques
Gaz à effet de serre -- Réduction -- Périodiques
Air -- Purification -- Technological innovations
Greenhouse gases -- Environmental aspects
Periodicals
363.73874605 - Journal URLs:
- http://rave.ohiolink.edu/ejournals/issn/17505836/ ↗
http://www.sciencedirect.com/science/journal/17505836 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijggc.2017.01.013 ↗
- Languages:
- English
- ISSNs:
- 1750-5836
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.268600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 957.xml