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An effective response surface-based optimisation approach for soil vapour extraction system design

机译:一种基于有效响应面的土壤水分提取系统设计优化方法

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摘要

While soil vapour extraction has been widely utilised as a remediation technology over the past decade, design and associated process performance modelling of full-scale systems has become important. This paper presents an effective optimisation approach, based on Zheng and Wang (Zheng, C. and Wang, P.P., 2002. A field demonstration of the simulation optimization approach for remediation system design. Ground Water, 40 (3), 258-265), for soil vapour extraction system (SVES) design. This approach integrates a multiphase flow and contaminant transport simulator, a genetic algorithm (GA) and a response surface (RS) method that employs non-linear regression analysis for constructing an approximation function as the objective of SVES constraint optimisation problems. The optimisation problem is to maximise the percentage of contaminant mass removal in terms of extraction rates at prescribed well locations under certain constraints. To demonstrate the effectiveness of the current approach, a few practical applications are performed and the associated optimal designs are compared against those using the simulation/optimisation approach. Results show that the proposed approach can provide a good optimal solution with a small computational effort.
机译:在过去的十年中,尽管土壤蒸气提取已被广泛用作一种修复技术,但全面系统的设计和相关过程性能建模已变得非常重要。本文基于Zheng和Wang(Zheng,C. and Wang,PP,2002.修复系统设计模拟优化方法的现场演示,地下水,40(3),258-265)提出了一种有效的优化方法。 ,用于土壤蒸汽提取系统(SVES)设计。此方法集成了多相流和污染物传输模拟器,遗传算法(GA)和响应面(RS)方法,该方法采用非线性回归分析来构造近似函数,以解决SVES约束优化问题。最优化问题是在某些约束条件下,以规定的井位处的提取率最大化污染物去除量的百分比。为了证明当前方法的有效性,我们进行了一些实际应用,并将相关的最佳设计与使用仿真/优化方法的设计进行了比较。结果表明,所提出的方法可以以较小的计算量提供良好的最佳解决方案。

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