基于动态水力平衡的集中供热系统二次管网节能优化调节方法研究
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摘要
针对二次管网各支路之间相互耦合、流量难以精确控制、输配系统各设备的动态调节容易造成水力失衡的情况,利用电网图论原理建立二次管网多元非线性水力工况模型,并利用实测数据建立二次管网输配系统能耗模型,以输配系统能耗最小为目标,以各支路动态水力平衡为主要约束条件,建立基于遗传算法的二次管网输配系统节能优化调节模型,用于在线优化二次管网输配系统各设备的运行参数。利用某高校集中供热系统二次管网进行建模和仿真。研究结果表明:动态调节方法相对变压差变流量调节方式可使输配系统运行能耗进一步降低约12.27%,为多执行机构二次管网水力平衡的动态优化调节提供参考。
In view of the problems involved in controlling the branch pipe flow accurately due to hydraulic imbalance during the dynamic adjustment process of coupled branches for water secondary distribution system, a multivariate nonlinear hydraulic model of the secondary pipeline network was established according to the principle of power network graph theory. And the energy consumption model of the equipment for water distribution system was also established by using the actual measured data. Then with the constraints of dynamic hydraulic balance of each branch, these two models were combined to be solved to optimize the operational parameters of the distribution system based on genetic algorithm for minimum energy consumption. Effectiveness of the proposed method was verified by simulation in the case of the secondary pipeline network of central heating system in a university. The results show that the dynamic regulation method can further reduce the energy consumption of the distribution system by 12.27% compared with the variable pressure and flow regulation method, which can also provide a new idea for the dynamic optimal regulation of the hydraulic balance of the secondary pipeline network with multiple actuators.
In view of the problems involved in controlling the branch pipe flow accurately due to hydraulic imbalance during the dynamic adjustment process of coupled branches for water secondary distribution system, a multivariate nonlinear hydraulic model of the secondary pipeline network was established according to the principle of power network graph theory. And the energy consumption model of the equipment for water distribution system was also established by using the actual measured data. Then with the constraints of dynamic hydraulic balance of each branch, these two models were combined to be solved to optimize the operational parameters of the distribution system based on genetic algorithm for minimum energy consumption. Effectiveness of the proposed method was verified by simulation in the case of the secondary pipeline network of central heating system in a university. The results show that the dynamic regulation method can further reduce the energy consumption of the distribution system by 12.27% compared with the variable pressure and flow regulation method, which can also provide a new idea for the dynamic optimal regulation of the hydraulic balance of the secondary pipeline network with multiple actuators.
引文
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[16]JAHANBANI ARDAKANI A,FATTAHI ARDAKANI F,HOSSEINIAN S H.A novel approach for optimal chiller loading using particle swarm optimization[J].Energy and Buildings,2008,40(12):2177-2187
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[18]陈平.应用数理统计[M].北京:机械工业出版社,2008:131-176.CHEN Ping.Applied mathematical statistics[M].Beijing:China Machine Press,2008:131-176.
[19]冯铁栓.供热系统全面水力平衡方案[J].建筑科学,2012,28(10):59-61.FENG Tieshuan.Total hydraulic balance schemes for district heating system[J].Building Science,2012,28(10):59-61.
[2]赵俊锁,贾健龙.供热系统运行质调节和量调节的分析比较[J].区域供热,2013,22(1):81-84.ZHAO Junsuo,JIA Jianlong.Comparison of quality and quantity regulation in heating system operation[J].District Heating,2013,22(1):81-84.
[3]PAN Quan,YAN Rongqing,LI Ziguang,et al.Dynamic characteristics of a new hydraulic balance valve[J].Journal of Changsha Communications University,2003,19(3):19-23.
[4]王君可,李德英,王野.变流量系统二次管网水力平衡装置选用探析[J].暖通空调,2015,45(8):62-67.WANG Junke,LI Deying,WANG Ye.Selection of hydraulic balance devices for secondary pipe networks in variable flow systems[J].Journal of Heating Ventilating and Airconditioning,2015,45(8):62-67.
[5]LIAO Haobo.Application of hydronic balancing technology in the Chongqing Jiangbei international airport HVAC system[J].Refrigeration&Air-Condition,2007,21(1):76-79.
[6]LI Caijun,ZHANG S.Overall hydraulic balance scheme demonstration for central air-conditioning water system of the new building of new world hotel in Macao[J].Refrigeration,2008,27(2):50-52.
[7]DAI Binbin,DUAN Xuesong.Application of hydraulic balance commissioning in air-conditioning water system[J].Architecture Technology,2013,44(3):249-251.
[8]LU Chenyin,MA Jianfeng,WANG Xiaohua,et al.Hydraulic balance optimization calculation and experimental research on model of fluid network system[J].Applied Mechanics&Materials,2013,300/301(2):681-688.
[9]盛超.水力管网动态评价指标及量化研究[D].南京:南京工业大学城市建设与安全工程学院,2014:21-23.SHENG Chao.Dynamic evaluation indexes of hydraulic pipe network and quantitative research[D].Nanjing:Nanjing Tech University.Faculty of Urban Construction and Safety Engineering,2014:21-23.
[10]李玉衔.基于能量平衡的暖通空调动态水力平衡调控技术[J].暖通空调,2009,39(11):137-142.LI Yujie.Application of hydronic balancing technology in the Chongqing Jiangbei international airport HVAC system[J].Journal of Heating Ventilating and Airconditioning,2009,39(11):137-142.
[11]阳琴,程群英,俞学炜,等.贵阳地区住宅采暖现状及碳排放影响因素研究[J].煤气与热力,2015,35(3):33-37.YANG Qin,CHENG Qunying,YU Xuewei,et al.Study on the current situation of residential heating and the influence factors of carbon emission in Guiyang[J].Gas&Heat,2015,35(3):33-37.
[12]ULANICKI B,KAHLER J,COULBRCK B.Modeling the efficiency and power characteristics of a pump group[J].Journal of Water Resources Planning&Management,2008,134(1):88-93.
[13]张晶,翟鹏程,张本源.惩罚函数法在遗传算法处理约束问题中的应用[J].武汉理工大学学报,2002,24(2):56-59.ZHANG Jing,ZHAI Pengcheng,ZHANG Benyuan.The application of the penalty function method in the genetic algorithm for dealing with the constraint problem[J].Journal of Wuhan University of Technology,2002,24(2):56-59.
[14]宋维琪,杨晓东,张本源.解域约束下的微地震事件网格搜索法遗传算法联合反演[J].石油地球物理勘探,2011,46(2):259-266.SONG Weiqi,YANG Xiaodong,ZHANG Benyuan.Genetic algorithm joint inversion of grid search method for microseismic events under domain constraints[J].Oil Geophysical Prospecting,2011,46(2):259-266.
[15]CHANG Y C,LIN J K,CHUANG M H.Optimal chiller loading by genetic algorithm for reducing energy consumption[J].Energy and Buildings,2005,37(2):147-155.
[16]JAHANBANI ARDAKANI A,FATTAHI ARDAKANI F,HOSSEINIAN S H.A novel approach for optimal chiller loading using particle swarm optimization[J].Energy and Buildings,2008,40(12):2177-2187
[17]胡庆彦,李栋彬,王娟娟,等.关于热水供暖系统二次网变压差调控节能实例分析[J].区域供热,2014,23(3):112-116.HU Qingyan,LI Dongbin,WANG Juanjuan,et al.Energy saving analysis of hot water heating system with two times network differential pressure regulation[J].District Heating,2014,23(3):112-116.
[18]陈平.应用数理统计[M].北京:机械工业出版社,2008:131-176.CHEN Ping.Applied mathematical statistics[M].Beijing:China Machine Press,2008:131-176.
[19]冯铁栓.供热系统全面水力平衡方案[J].建筑科学,2012,28(10):59-61.FENG Tieshuan.Total hydraulic balance schemes for district heating system[J].Building Science,2012,28(10):59-61.