Paper Info
Title
Sensitivity analysis of environmental impact of milk powder spray drying system based on intelligent algorithm
Abstract
The increasing market demand for milk powder has not only promoted the production capacity of milk powder, but also increased the impact on the environment. Therefore, it is very important to study the relationship between the environmental impact of milk powder spray drying (MPSD) system and system-related parameters and identify the key parameters to improve the efficiency of the sustainable improvement of the system. Treed Gaussian Process (TGP) and Standardized Regression Coefficients (SRC)methods are used to analyze the sensitivity of the system to environmental impacts. The results show that the inlet air temperature of the drying tower has the greatest impact on the environment of the system, accounting for about 82%, followed by the atomization pressure and the feed pump speed, accounting for about 9% and 8% respectively. Moreover, not only the environmental performance of the system should be improved, but also the quality of milk powder should be guaranteed when optimizing the parameters such as the inlet air temperature of drying tower. This study can help the manufacturers of milk powder and related equipment to determine the priority of improving the system from the perspective of environmental protection.
Year
DOI
Venue
2022
10.3233/JIFS-211961
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
DocType
Volume
Sensitivity analysis, treed Gaussian process, standardized regression coefficients, spray drying, environmental impact
Journal
42
Issue
ISSN
Citations 
6
1064-1246
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Zunhao Zhang100.34
Junxia Zhang200.34
Tian Wei322.15
Yang Li400.68
Yahui Song500.34
Qi Zeng600.34