Design of Water Network with Multiple Contaminants and Zero Discharge

Abstract

Abstract: The paper presents a procedure to design water network. First of all, water reuse system,
water regeneration reuse system (including regeneration recycle) and wastewater treatment
system are designed separately.But the interaction between different parts demands that
each part is designed iteratively to optimize the whole water network. Therefore, on the
basis of the separated design a water network superstructure including reuse,regeneration
and wastewater treatment is established from the system engineering point of view. And a
multiobjective adaptive simulated annealing genetic algorithm is adopted to simultaneously
integrate the overall water network to balance the economic and environmental effects. The
algorithm overcomes the defect of local optimum of simulated annealing (SA), avoids the
pre-maturation of genetic algorithm (GA) and finds a set of solutions (pareto front) in
acceptable computer time. From the pareto front, a point with minimum fresh water
consumption will be extended to zero discharge as our ultimate goal.

Key words: water network, wastewater treatment, reuse, regeneration reuse, multi-objective adaptive simulated annealing genetic algorithm, zero discharge

摘要： The paper presents a procedure to design water network. First of all, water reuse system,
water regeneration reuse system (including regeneration recycle) and wastewater treatment
system are designed separately.But the interaction between different parts demands that
each part is designed iteratively to optimize the whole water network. Therefore, on the
basis of the separated design a water network superstructure including reuse,regeneration
and wastewater treatment is established from the system engineering point of view. And a
multiobjective adaptive simulated annealing genetic algorithm is adopted to simultaneously
integrate the overall water network to balance the economic and environmental effects. The
algorithm overcomes the defect of local optimum of simulated annealing (SA), avoids the
pre-maturation of genetic algorithm (GA) and finds a set of solutions (pareto front) in
acceptable computer time. From the pareto front, a point with minimum fresh water
consumption will be extended to zero discharge as our ultimate goal.

关键词: water network;wastewater treatment;reuse;regeneration reuse;multi-objective adaptive simulated annealing genetic algorithm;zero discharge

LI Ying, DU jian, YAO Pingjing. Design of Water Network with Multiple Contaminants and Zero Discharge[J]. .

李英, 都健, 姚平经. 多杂质水网络设计和零排放[J]. CIESC Journal.

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