Minimization of energy consumption in multiple stage evaporator using Genetic Algorithm

doi:10.1016/j.suscom.2017.11.005

CASIA OpenIR > 离退休人员

	Minimization of energy consumption in multiple stage evaporator using Genetic Algorithm
	Verma, Om Prakash 1; Manik, Gaurav 2; Suryakant 2; Jain, Vinay Kumar 3; Jain, Deepak Kumar 4; Wang, Haoxiang 5,6
发表期刊	SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
ISSN	2210-5379
	2018-12-01
卷号	20 页码:130-140
通讯作者	Manik, Gaurav(manikfpt@iitr.ac.in)
摘要	Maximization of the steam efficiency of a multiple stage evaporator employed for concentrating black liquor in pulp and paper mills carries immense significance and relevance in today's scenario. Nonlinear mathematical models of heptads' effects backward feed flow with various energy saving schemes namely, steam-split, feed-split, feed-preheating and their hybrid operations have been developed. The steam economy as a cost function translates the problem into a nonlinear optimal search problem. The mass and heat balance equations act as nonlinear equality constraints while vapor temperatures and liquor flows appear as inequality constraints. The formulated problem has been solved efficiently to attain optimal solution using Genetic Algorithm approach which demonstrates advantages of convergence and relative less sensitivity towards initial values versus conventional algorithms. The simulations indicate that a hybrid of steam-split, feed-split and feed-preheating process arrangements with backward feed flow could provide the highest heat transfer across evaporator effects with an optimum steam economy of 6.47 and consumption of 6541.93 kg/h. (C) 2017 Elsevier Inc. All rights reserved.
关键词	Energy efficiency Genetic Algorithm Multiple stage evaporator Steam economy Steam consumption
DOI	10.1016/j.suscom.2017.11.005
关键词[WOS]	MULTIOBJECTIVE OPTIMIZATION ; JUMPING GENE ; SIMULATION ; SYSTEM ; PERFORMANCE ; INTEGRATION ; DESIGN ; SELECTION ; MODEL
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Information Systems
WOS记录号	WOS:000451756100013
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：21[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/25684
专题	离退休人员
通讯作者	Manik, Gaurav
作者单位	1.KIIT Univ Bhubaneswar, Sch Elect, Bhubaneswar, Odisha, India 2.Indian Inst Technol Roorkee, Dept Polymer & Proc Engn, Roorkee, Uttarakhand, India 3.JUET, Dept Comp Sci & Engn, Raghogarh, MP, India 4.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 5.Cornell Univ, Dept ECE, Ithaca, NY 14853 USA 6.R&D Ctr, GoPercept Lab, New York, NY USA
推荐引用方式 GB/T 7714	Verma, Om Prakash,Manik, Gaurav,Suryakant,et al. Minimization of energy consumption in multiple stage evaporator using Genetic Algorithm[J]. SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS,2018,20:130-140.
APA	Verma, Om Prakash,Manik, Gaurav,Suryakant,Jain, Vinay Kumar,Jain, Deepak Kumar,&Wang, Haoxiang.(2018).Minimization of energy consumption in multiple stage evaporator using Genetic Algorithm.SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS,20,130-140.
MLA	Verma, Om Prakash,et al."Minimization of energy consumption in multiple stage evaporator using Genetic Algorithm".SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS 20(2018):130-140.