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Date of Publication:2022-10-10

Journal:Journal of Thermal Science and Technology

Volume:20

Issue:2

Page Number:112-121

ISSN No.:1671-8097

Key Words:"desalination; multi-effect evaporation; thermal vapor compression; multi-objective optimization; NSGA-\u2161"

CN No.:21-1472/T

Abstract:Multi-effect evaporation with thermal vapor compression(MEE-TVC)desalination system is easy to realize large-scale application in engineering,so optimal design of the plant is extremely necessary.Energetic and exergic analysis models of MEE-TVC were established based on the first and second laws of thermodynamics.Based on the total revenue requirement method,the economic model was established.Maximizing the gained output ratio(GOR_(max))/minimizing the specific exergy consumption(ed min)and minimizing the unit cost of water production(cp,tot min)were taken as the objectives to establish the multi-objective optimization model of MEE-TVC.The non-dominant sorting genetic algorithm with elite strategy(NSGA-Ⅱ)was adopted to solve the multi-objective optimization problem considering thermodynamic and economic performances simultaneously.The optimal design schemes selected from the pareto optimal front were analyzed by comparing with the base case.Results indicate that compared with the base case,both the optimal schemes of single objective(e_(d,min)or GOR_(max))lead to about 20% rise of cp,tot,while the optimal schemes of multi-objective have varying degrees of improvement for all the objectives.The optimization results show that the proposed optimization method can meet the requirements of engineering design accuracy,and provide decision-makers with optimization schemes based on different preferences.

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