低温多效蒸发海水淡化系统热力性能分析与优化研究
[Abstract]:With the rapid growth of population, the deepening of industrialization and urbanization, the improvement of living standards and the aggravation of environmental pollution, the shortage of fresh water resources has become a key factor restricting economic development. Chemical technology has attracted much attention from academia and engineering circles because of its advantages such as low energy consumption, high purity of product water, low dosage of chemical reagents and low risk of corrosion and scaling. Detailed analysis and accurate grasp of the thermal process are the basis for the development of optimal design technology of multi-effect evaporative seawater desalination unit. A comprehensive mathematical model of thermal process of LT-MEE seawater desalination system is established based on the database established by the sex experiment. The thermal performance analysis and optimization methods of the device are studied in depth. The purpose is to promote the formation of the theory of thermal performance analysis of LT-MEE seawater desalination device with complete scientific connotation and the development of advanced technology. Based on the first and second laws of mechanics, a comprehensive mathematical model for the thermal process of LT-MEE seawater desalination system is established. The model includes the thermal losses caused by the elevation of seawater boiling point and the flow resistance of steam through heat transfer tube bundles, demisters, steam passages and condensation process in tubes. The flow resistance and heat transfer coefficient are established by pertinent experiments. The validity and advancement of the mathematical model established in this paper are verified by comparing with the actual equipment and the data of the literature model. The parameters of secondary steam, salinity of concentrated brine, temperature, heat transfer coefficient and thermal loss are obtained by simulation calculation. The thermal process of LT-MEE seawater desalination system is analyzed in detail. The effects of feed mode, preheating mode and combination with thermodynamic vapor compressor (TVC) on the thermal performance of the system are discussed. The thermal performance and the distribution of the enthalpy loss of MEE and MEE-TVC systems are compared and analyzed. The results show that the thermal loss caused by flow resistance and boiling point increase has an important influence on the thermal performance of the system. Through the analysis of the thermal process, the thermal process characteristics of LT-MEE seawater desalination unit with "small temperature difference, low flow resistance, saturated state, high sensitivity" are summarized. Compared with MEE system, the water-making ratio of MEE-TVC system is significantly increased, and the specific cooling water volume and specific heat transfer area are reduced to varying degrees. In the optimization design of the system, the economic model of LT-MEE seawater desalination system, i.e. the detailed mathematical model of economic performance evaluation index-unit quality water production cost, is established based on the total revenue demand method. Then the response surface approximation model of the performance parameters of LT-MEE seawater desalination system is established based on the accurate thermodynamic process model. An improved multi-objective genetic algorithm (NSGA-II) is used to solve the traditional multi-objective optimization problem (maximum water-making ratio, maximum specific energy consumption and minimum unit quality water-making cost). The Pareto optimal solution set is obtained. The optimization based on different preferences is compared and analyzed in terms of objective function, design variables, (exergy) loss distribution and cost composition. The optimization results show that, for MEE-TVC seawater desalination system, compared with the initial scheme of the example, the scheme with the optimum thermodynamic performance selected from the Pareto optimal solution set has 44.6% higher water-making ratio, 26.7% lower exergy consumption and 13.7% lower water-making cost per unit quality of the scheme with the optimum economic performance. This shows that the optimization method adopted in this paper can achieve remarkable optimization results, and also shows the necessity of optimizing the design of low-temperature multi-effect evaporative seawater desalination system.
【学位授予单位】:大连理工大学
【学位级别】:博士
【学位授予年份】:2016
【分类号】:P747
【相似文献】
相关期刊论文 前10条
1 ;技术前沿:太阳能海水淡化系统专用救灾现场[J];硅谷;2011年08期
2 王永青;何宏舟;;海水淡化系统的性能优化与评价准则[J];化学工程;2012年02期
3 刘波;李娜;;平海电厂海水淡化系统介绍[J];科技风;2013年07期
4 贾海军,李毅,肖志,李胜强,仲朔平,姜胜耀,张佑杰;与核供热堆耦合的海水淡化系统及蒸发工艺研究[J];核动力工程;2003年S2期
5 陈金增,宋振海,张青枝,黄素逸;热力蒸汽压缩式海水淡化系统热力分析[J];海军工程大学学报;2005年04期
6 杨英俊 ,陈志莉 ,郑宏飞 ,杨海平;全自然能源海水淡化系统[J];太阳能;2005年02期
7 张福录;李雪民;;反渗透法海水淡化系统的设计[J];一重技术;2005年05期
8 张晓东;原郭丰;成珂;张鹤飞;;新型太阳能海水淡化系统[J];水处理技术;2006年06期
9 庞胜林;刘金生;;华能浙江分公司海水淡化系统研究[J];电力设备;2006年09期
10 高蓬辉;吴安民;成珂;张鹤飞;;基于神经网络的海水淡化系统产水模拟及预测[J];石油化工设备;2006年06期
相关会议论文 前7条
1 王许云;张林;陈欢林;高从X&;;太阳能海水淡化系统开发进展[A];第一届海水淡化与水再利用西湖论坛论文集[C];2006年
2 庞胜林;刘金生;;海水淡化系统研究[A];提高全民科学素质、建设创新型国家——2006中国科协年会论文集(下册)[C];2006年
3 王刚;周志莹;顾为东;;利用非并网风电进行海水淡化系统的优势分析[A];新形势下长三角能源面临的新挑战和新对策——第八届长三角能源论坛论文集[C];2011年
4 刘晓华;赵广斌;沈胜强;曹国建;陈文博;;太阳能海水淡化系统性能对比研究[A];高等学校工程热物理第十九届全国学术会议论文集[C];2013年
5 冯巍;;海水淡化系统与制氯系统联动运行及逻辑优化与设备节约探讨[A];2013年中国电机工程学会年会论文集[C];2013年
6 肖丽;吴善宏;周佰魏;何先营;;海水淡化系统杀菌方式的优化应用[A];第四届火电行业化学(环保)专业技术交流会论文集[C];2013年
7 王金华;胡党辉;严俊杰;邵树峰;刘继平;;改进型多级闪蒸海水淡化系统的经济性研究[A];中国动力工程学会第三届青年学术年会论文集[C];2005年
相关重要报纸文章 前7条
1 首席记者 邱丽娜;我省海水淡化系统项目成功投运[N];黑龙江经济报;2010年
2 本报记者 孙安然 朱_g;“全能”型海水淡化系统正式亮相[N];中国海洋报;2013年
3 王友柏 记者 张玮炜;红沿河核电海水 淡化系统投入使用[N];大连日报;2010年
4 记者 王荣琦;国内首个核电站海水淡化系统启用[N];辽宁日报;2010年
5 刘婧婷 记者 张桂英 张斯文;我省海水淡化系统印尼投运[N];黑龙江日报;2010年
6 记者 冯晓彤 通讯员 张存保;世界首例三工况低温多效海水淡化系统成功应用[N];首都建设报;2011年
7 本报记者 吴德强;太阳和风可淡化海水[N];北京科技报;2004年
相关博士学位论文 前3条
1 韩冰;用于MEE海水淡化系统的蒸汽热力压缩机及混合可再生能源系统的研究[D];北京工业大学;2015年
2 王芳;基于减压膜蒸馏法太阳能海水淡化系统研究[D];东华大学;2016年
3 邓润亚;海水淡化系统能量综合利用与经济性研究[D];中国科学院研究生院(工程热物理研究所);2009年
相关硕士学位论文 前10条
1 邹维东;多级海水淡化系统装置推广研究[D];哈尔滨工程大学;2012年
2 刘珩;四效蒸馏太阳能海水淡化系统设计与实验研究[D];哈尔滨工业大学;2012年
3 张新春;一种新型太阳能自然真空海水淡化系统性能研究[D];大连理工大学;2015年
4 朱鸣鸣;太阳能增湿除湿海水淡化系统性能研究[D];大连理工大学;2015年
5 马原;一种海水淡化系统的自动控制程序设计[D];吉林大学;2016年
6 周婷;基于反渗透方法的新能源海水淡化系统研究[D];上海海洋大学;2016年
7 陈树旺;离网型风光互补膜法海水淡化系统的优化设计[D];集美大学;2016年
8 郭丽江;热电联产海水淡化系统节能降耗分析[D];华北电力大学(北京);2005年
9 闫冬侠;海水淡化系统中超滤膜性能的研究[D];浙江工业大学;2006年
10 王晓;超声波辅助蒸发太阳能海水淡化系统研究[D];青岛理工大学;2010年
,本文编号:2233575
本文链接:https://www.wllwen.com/shoufeilunwen/jckxbs/2233575.html