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Minimization of energy consumption in multiple stage evaporator using Genetic Algorithm | |
Verma, Om Prakash1; Manik, Gaurav2; Suryakant2; Jain, Vinay Kumar3; Jain, Deepak Kumar4; Wang, Haoxiang5,6 | |
发表期刊 | SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
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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 | |
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. |
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