反渗透海水淡化系统动态调度法研究
发布时间：2018-07-14 13:38
【摘要】：淡水资源已经成为国民经济发展不可或缺的重要资源。随着经济的飞速发展,人们对于淡水资源的需求也越来越大。为了有效地解决沿海地区用水短缺的问题,海水淡化已经成为最为有效的方法之一。反渗透海水淡化是海水淡化技术中比较典型的、应用比较多的一种技术。反渗透海水淡化系统(Seawater reverse Osmosis,SWRO)是由反渗透膜、高压泵和能量回收装置等核心设备组成的。随着整个淡化系统规模的不断扩大,节能降耗成为海水淡化厂的首要任务。对整个海水淡化系统进行优化调度,制定合理的制水计划可以有效降低海水淡化制水成本,提升企业竞争力。本文主要研究了用水预测误差和产水机组随机故障下的优化调度问题。研究成果如下:(1)给出了典型反渗透海水淡化系统工艺流程;阐述了反渗透海水淡化反渗透膜组件工作原理并建立了其运行时单元模型;对反渗透海水淡化运行费用进行了分析,建立其费用目标函数并给出了约束条件。通过海德能反渗透设计模拟软件研究了进水温度、给水含盐量、能量回收率等不确定因素对操作费用的影响。(2)介绍了用水量预测基本原则和步骤,指出了用水量的趋势性和周期性,分析了影响用水量的因素。建立了3种用水量预测模型,并通过评价指标说明了组合模型具有更好的预测准确性,为优化调度提供准确的预测数据。(3)研究了用水量预测误差和机组随机故障对系统操作费用的影响,建立了其机会约束规划模型,并采用蒙特卡罗随机模拟技术嵌入微粒子群算法对模型进行求解,仿真结果表明该算法可以较好地解决本文所涉及的模型;同时研究了惯性权重因子对于求解模型性能的影响和不同机组保养计划对优化调度的影响;最后将冗余技术和随机模拟技术处理微小变量的效果进行了比较,结果表明随机模拟技术在处理结果上优于冗余技术,在求解时间上比冗余技术差。(4)在优化调度的理论基础下,设计开发了大型反渗透海水淡化系统的优化调度软件。该监控软件由用水预测模块、设备维保模块和优化运行调度模块组成。介绍了该监控软件的设计过程。最后对文章进行了总结,并指出了有待研究的几个问题。
[Abstract]:Freshwater resources have become an indispensable and important resource for the development of national economy. With the rapid development of economy, people's demand for fresh water resources is also increasing. Seawater desalination has become one of the most effective methods to solve the problem of water shortage in coastal areas. Reverse osmosis seawater desalination is a typical and widely used seawater desalination technology. The Seawater reverse desalination system is composed of reverse osmosis membrane, high pressure pump and energy recovery device. With the expansion of the whole desalination system, saving energy and reducing consumption becomes the primary task of seawater desalination plant. The optimal operation of the whole desalination system and the establishment of reasonable water preparation plan can effectively reduce the cost of seawater desalination and enhance the competitiveness of enterprises. In this paper, the optimal scheduling problem of water prediction error and random fault of water generating unit is studied. The research results are as follows: (1) the typical reverse osmosis seawater desalination system process flow is given, the working principle of reverse osmosis seawater desalination membrane module is expounded and its operating time unit model is established, and the operation cost of reverse osmosis seawater desalination system is analyzed. The cost objective function is established and the constraint conditions are given. The influence of uncertain factors such as inlet temperature, salt content in feed water and energy recovery on operating cost is studied by using Hyde reverse osmosis design software. (2) the basic principles and steps of water consumption prediction are introduced. The trend and periodicity of water consumption are pointed out, and the factors affecting water consumption are analyzed. Three kinds of water consumption forecasting models are established, and the combined model is proved to be more accurate by evaluating indexes. In order to provide accurate prediction data for optimal scheduling. (3) the influence of water consumption prediction error and unit random fault on operating cost of the system is studied, and the chance constrained programming model is established. Monte Carlo stochastic simulation technique is used to solve the model. The simulation results show that the proposed algorithm can solve the model well. At the same time, the influence of inertial weight factor on the performance of the model and the influence of different maintenance plans on optimal scheduling are studied. Finally, the effects of redundancy and stochastic simulation on the treatment of small variables are compared. The results show that the stochastic simulation technique is superior to the redundancy technique in processing results, and the solution time is worse than the redundancy technique. (4) based on the theory of optimal scheduling, the optimal scheduling software for large-scale reverse osmosis seawater desalination system is designed and developed. The monitoring software consists of water prediction module, equipment maintenance module and optimal operation scheduling module. The design process of the monitoring software is introduced. Finally, the article is summarized and some problems to be studied are pointed out.
【学位授予单位】：杭州电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P747
[Abstract]:Freshwater resources have become an indispensable and important resource for the development of national economy. With the rapid development of economy, people's demand for fresh water resources is also increasing. Seawater desalination has become one of the most effective methods to solve the problem of water shortage in coastal areas. Reverse osmosis seawater desalination is a typical and widely used seawater desalination technology. The Seawater reverse desalination system is composed of reverse osmosis membrane, high pressure pump and energy recovery device. With the expansion of the whole desalination system, saving energy and reducing consumption becomes the primary task of seawater desalination plant. The optimal operation of the whole desalination system and the establishment of reasonable water preparation plan can effectively reduce the cost of seawater desalination and enhance the competitiveness of enterprises. In this paper, the optimal scheduling problem of water prediction error and random fault of water generating unit is studied. The research results are as follows: (1) the typical reverse osmosis seawater desalination system process flow is given, the working principle of reverse osmosis seawater desalination membrane module is expounded and its operating time unit model is established, and the operation cost of reverse osmosis seawater desalination system is analyzed. The cost objective function is established and the constraint conditions are given. The influence of uncertain factors such as inlet temperature, salt content in feed water and energy recovery on operating cost is studied by using Hyde reverse osmosis design software. (2) the basic principles and steps of water consumption prediction are introduced. The trend and periodicity of water consumption are pointed out, and the factors affecting water consumption are analyzed. Three kinds of water consumption forecasting models are established, and the combined model is proved to be more accurate by evaluating indexes. In order to provide accurate prediction data for optimal scheduling. (3) the influence of water consumption prediction error and unit random fault on operating cost of the system is studied, and the chance constrained programming model is established. Monte Carlo stochastic simulation technique is used to solve the model. The simulation results show that the proposed algorithm can solve the model well. At the same time, the influence of inertial weight factor on the performance of the model and the influence of different maintenance plans on optimal scheduling are studied. Finally, the effects of redundancy and stochastic simulation on the treatment of small variables are compared. The results show that the stochastic simulation technique is superior to the redundancy technique in processing results, and the solution time is worse than the redundancy technique. (4) based on the theory of optimal scheduling, the optimal scheduling software for large-scale reverse osmosis seawater desalination system is designed and developed. The monitoring software consists of water prediction module, equipment maintenance module and optimal operation scheduling module. The design process of the monitoring software is introduced. Finally, the article is summarized and some problems to be studied are pointed out.
【学位授予单位】：杭州电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P747
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相关期刊论文 前10条
1 王熹;王湛;杨文涛;席雪洁;史龙月;董文月;张倩;周跃男;;中国水资源现状及其未来发展方向展望[J];环境工程;2014年07期
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