Abstract

The performance of factorial designs is still limited due to some uncertainties that usually intensify process complexities, hence, the need for inter-platform auto-correlation analyses. In this study, the auto-correlation capabilities of factorial designs and General Algebraic Modeling System (GAMS) on the effects of some pertinent operating variables in wastewater treatment were compared. Individual and combined models were implemented in GAMS and solved with the trio of BARON, CPLEX and IPOPT solvers. It is revealed that adsorbent dosage had the highest effect on the process. It contributed the most effect toward obtaining the minimum silica and TDS contents of 13 mg/L and 814 mg/L, and 13.6 mg/L and 815 mg/L from factorial design and GAMS platforms, respectively. This indicates a concurrence between the results from the two platforms with percentage errors of 4.4% and 0.2% for silica and TDS, respectively. The effects of the mixing speed and contact time are negligible.

Details

Title
Auto-correlation robustness of factorial designs and GAMS in studying the effects of process variables in a dual-objective adsorption system
Author
Kolade, Amosa Mutiu 1 ; Aderibigbe, Fatai A 2 ; Adeniyi Adewale George 2 ; Ighalo, Joshua O 3   VIAFID ORCID Logo  ; Bello, Bisola Taibat 2 ; Jami Mohammed Saedi 4 ; Alkhatib Ma’an Fahmi R 4 ; Majozi Thokozani 5 ; Abdulkareem, Sulyman A 2 

1  Department of Petroleum Resources, Health, Safety and Environment Division, Abuja, Nigeria; Department of Petroleum Resources, IOR Centre of Excellence, Abuja, Nigeria 
2  University of Ilorin, Department of Chemical Engineering, Ilorin, Nigeria (GRID:grid.412974.d) (ISNI:0000 0001 0625 9425) 
3  University of Ilorin, Department of Chemical Engineering, Ilorin, Nigeria (GRID:grid.412974.d) (ISNI:0000 0001 0625 9425); Nnamdi Azikiwe University, Department of Chemical Engineering, Awka, Nigeria (GRID:grid.412207.2) (ISNI:0000 0001 0117 5863) 
4  Kulliyyah of Engineering, International Islamic University Malaysia, Bioenvironmental Engineering Research Centre (BERC), Department of Biotechnology Engineering, Kuala Lumpur, Malaysia (GRID:grid.440422.4) (ISNI:0000 0001 0807 5654) 
5  University of the Witwatersrand, NRF-DST Chair in Sustainable Process Engineering, School of Chemical and Metallurgical Engineering, Johannesburg, South Africa (GRID:grid.11951.3d) (ISNI:0000 0004 1937 1135) 
Publication year
2021
Publication date
Feb 2021
Publisher
Springer Nature B.V.
ISSN
21905487
e-ISSN
21905495
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1007/s13201-020-01349-2
ProQuest document ID
2486883606
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.