Optimization of chlorine consumption in water distribution networks by using the new ant colony optimization (ACOR) algorithm

IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES International Journal of Environmental Science and Technology Pub Date : 2024-09-09 DOI:10.1007/s13762-024-06008-6
M. H. Ahmadi, B. Mansoori, R. Aghamajidi
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Abstract

Chlorination by maintaining the injected chlorine concentration in the range between the minimum and maximum is among the most inexpensive and common disinfection methods in water distribution networks. The minimum concentration of residual chlorine must be observed to control the microbial quality of water. Besides, the maximum chlorine concentration must be observed to control problems related to water smell and taste and to prevent the production of toxic byproducts. This research has developed a model by combining the EPANET model and the ACOR optimization algorithm to optimize the chlorine injection program during the operation period. According to the results, the ACOR algorithm could be used to derive a suitable program for chlorine injection in the water distribution network such that the permissible constraints of chlorine are observed in the consumption nodes of the network and the consumption of chlorine is reduced to the least level in the network. The developed model was applied to determine an optimal chlorine injection program in a classical example (the Branford network), which was also of interest to some previous researchers. Using the optimal injection program obtained by the model, the chlorine concentration was set at an acceptable network level between the permissible range of 0.2–0.8 g/l. This output was more favorable than the response of other methods in terms of the total residual chlorine concentration, which was 5.8% and 4.7% lower in this method than the methods based on PSO and genetic algorithms, respectively. Moreover, a better convergence speed was obtained in this algorithm, and the number of calculation times of the objective function was 49.5 and 64.4 less than the methods based on PSO and genetic algorithms, respectively. Therefore, the ACOR algorithm can be used to derive the chlorine injection program to both comply with the permissible constraints of chlorine and reduce chlorine consumption to the minimum level.

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利用新型蚁群优化(ACOR)算法优化输水管网中的氯消耗量
将注入的氯浓度保持在最低和最高之间的范围内进行加氯消毒,是输水管网中最廉价、最常用的消毒方法之一。必须遵守最低余氯浓度,以控制水的微生物质量。此外,还必须遵守最大余氯浓度,以控制与水的气味和口感有关的问题,并防止产生有毒的副产品。本研究结合 EPANET 模型和 ACOR 优化算法建立了一个模型,以优化运行期间的投氯方案。结果表明,ACOR 算法可用于推导出合适的配水管网注氯方案,从而使管网消耗节点遵守氯的允许约束条件,并将管网中的氯消耗量降至最低水平。所开发的模型被用于确定一个经典案例(布兰福德供水网)中的最优注氯方案,这也是之前一些研究人员所感兴趣的。利用模型获得的最佳注氯程序,氯浓度被设定在 0.2-0.8 克/升的允许范围之间的可接受网络水平。就总余氯浓度而言,该输出结果比其他方法的响应更为有利,与基于 PSO 和遗传算法的方法相比,该方法的总余氯浓度分别降低了 5.8%和 4.7%。此外,该算法还获得了较好的收敛速度,目标函数的计算次数分别比基于 PSO 和遗传算法的方法少 49.5 和 64.4 次。因此,ACOR 算法可用于推导氯气注入方案,既能满足氯气允许约束条件,又能将氯气消耗量降至最低水平。
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来源期刊
CiteScore
5.60
自引率
6.50%
发文量
806
审稿时长
10.8 months
期刊介绍: International Journal of Environmental Science and Technology (IJEST) is an international scholarly refereed research journal which aims to promote the theory and practice of environmental science and technology, innovation, engineering and management. A broad outline of the journal''s scope includes: peer reviewed original research articles, case and technical reports, reviews and analyses papers, short communications and notes to the editor, in interdisciplinary information on the practice and status of research in environmental science and technology, both natural and man made. The main aspects of research areas include, but are not exclusive to; environmental chemistry and biology, environments pollution control and abatement technology, transport and fate of pollutants in the environment, concentrations and dispersion of wastes in air, water, and soil, point and non-point sources pollution, heavy metals and organic compounds in the environment, atmospheric pollutants and trace gases, solid and hazardous waste management; soil biodegradation and bioremediation of contaminated sites; environmental impact assessment, industrial ecology, ecological and human risk assessment; improved energy management and auditing efficiency and environmental standards and criteria.
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