基于节能低碳的多目标供水网络优化技术研究

发布时间：2018-05-06 18:44

本文选题：供水网络优化 + 节能低碳　；参考：《青岛理工大学》2013年硕士论文

【摘要】：供水网络优化的研究可以有效地节省投资、保证供水安全，具有十分重要的理论和实际价值。近些年随着节能低碳理念逐渐深入人心，节能思想已广泛应用于各领域，如何将节能低碳理论应用到供水网络优化中是本文研究的重点。国内外很多学者根据不同的优化目的建立了相应的供水网络优化目标函数模型，针对不同的函数模型又提出了各种各样的模型求解算法。针对以上问题，本文进行了如下研究：本文通过对供水网络的能耗进行研究实现节能低碳理念的应用，基于全生命周期理论，分别对不同管材在生产、施工、运行3个阶段的能耗进行了研究。根据不同管材的原材料、生产工艺、加工成型工序的不同，建立供水网络全生命周期的能耗函数模型。考虑到供水安全性，当供水网络流量已初分时，通过添加流量、流速惩罚项的方式对一般经济性目标函数进行改进。通过耦合能耗数学模型和改进经济模型，得到多目标优化数学模型，从而能够在保证经济性和供水安全性的基础上，达到节能低碳理念应用目的，实现多目标优化。针对多目标优化数学模型，本文运用混合进化算法进行求解，并对混合进化算法的实现过程展开重点研究。本文中混合进化算法是基于C++平台实现的，并且算法在实现过程中利用EPANET调用管段信息进行计算。最终经混合进化算法得到Pareto最优解集，再从最优解集中挑选最符合设计者要求的解，实现多目标优化问题的解决。与此同时，为检验混合进化算法性能的优劣，，本文应用遗传算法对目标函数求解作了类比实验。本文应用胶州市产业新区部分管网作为实例，对提出的多目标优化数学模型和混合优化算法进行了多工况实例检验。通过对最高日最高时、消防时、事故时3种不同工况检验得知，本文建立的供水网络多目标优化函数和多目标混合进化算法得到的最优解是合理的，能够满足实际应用的要求。
[Abstract]:The research of water supply network optimization can effectively save investment and ensure water supply safety, which has very important theoretical and practical value. In recent years, with the idea of saving energy and low carbon, the idea of energy saving has been widely used in various fields. How to apply the theory of energy saving and low carbon to the optimization of water supply network is the focus of this paper. Many scholars at home and abroad have established the corresponding water supply network optimization objective function model according to different optimization purposes, and put forward a variety of model solving algorithms for different function models. In view of the above problems, this paper has carried out the following research: In this paper, the energy consumption of water supply network is studied to realize the application of the idea of energy saving and low carbon. Based on the whole life cycle theory, the energy consumption of different pipes in the three stages of production, construction and operation is studied respectively. According to the different raw materials, production technology and processing process of different pipes, the energy consumption function model of the whole life cycle of water supply network is established. Considering the safety of water supply, the general economic objective function is improved by adding flow rate and velocity penalty term when the flow of water supply network has been initially divided. By coupling the energy consumption mathematical model and improving the economic model, the multi-objective optimization mathematical model is obtained, which can achieve the purpose of energy saving and low carbon application on the basis of ensuring the economy and the safety of water supply, and realize the multi-objective optimization. In this paper, the hybrid evolutionary algorithm is used to solve the mathematical model of multi-objective optimization, and the implementation process of the hybrid evolutionary algorithm is studied emphatically. In this paper, the hybrid evolutionary algorithm is implemented on C platform, and the algorithm uses EPANET to call the information of pipe segment in the process of implementation. Finally, the optimal solution set of Pareto is obtained by hybrid evolutionary algorithm, and the optimal solution is selected from the optimal solution set to realize the solution of multi-objective optimization problem. At the same time, in order to test the performance of hybrid evolutionary algorithm, the genetic algorithm is used to solve the objective function. In this paper, the multi-objective optimization mathematical model and hybrid optimization algorithm are tested by using some pipe networks in Jiaozhou Industrial New area as an example. Through the test of three different working conditions of maximum day, fire time and accident time, it is found that the optimal solution obtained by the multi-objective optimization function and multi-objective hybrid evolutionary algorithm of water supply network established in this paper is reasonable and can meet the requirements of practical application.
【学位授予单位】：青岛理工大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TU991.3

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