| Title |
Multi-response optimization of charcoal briquettes process for green economy using a novel TOPSIS linear programming and genetic algorithms based on response surface methodology |
| ID_Doc |
8027 |
| Authors |
Pawaree, N; Phokha, S; Phukapak, C |
| Title |
Multi-response optimization of charcoal briquettes process for green economy using a novel TOPSIS linear programming and genetic algorithms based on response surface methodology |
| Year |
2024 |
| Published |
|
| DOI |
10.1016/j.rineng.2024.102226 |
| Abstract |
The production of charcoal briquettes was based on the concept of utilizing waste for sustainable and ecofriendly solutions within the green economy. This study introduces a new approach for optimizing important properties of charcoal briquettes. The approach aims to determine the appropriate operating conditions using a hybrid method. It integrates a novel TOPSIS linear programming with genetic algorithms based on response surface methodology. The experiment used an optimal mixture ratio of 25:10:6, including coconut shell, bagasse ash, and corncob. The results of the responses showed increased heating value and burning time by 5.13 % and 5.71 %, respectively, and moisture content decreased by 15.12 %. Furthermore, confirmation experiments within a 95 % confidence interval verified that the three responses obtained at the optimal operating conditions of process factors. The total cost of charcoal briquettes is 0.903 USD/kg and a payback period of 4.85 years. This illustrates that process improvement also aligns with the broader goals of promoting green and a circular economy. |
| Author Keywords |
Green economy; Charcoal briquettes; TOPSIS; Genetic algorithms; Response surface method |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:001249877400001 |
| WoS Category |
Engineering, Multidisciplinary |
| Research Area |
Engineering |
| PDF |
https://doi.org/10.1016/j.rineng.2024.102226
|