An adaptive double-Newton-iteration hydraulic calculation method for optimal operation of the meshed district heating network

被引:6
作者
Liu, Zhikai [1 ,2 ]
Zhang, Huan [1 ,2 ]
Wang, Yaran [1 ,2 ]
Jiang, Yan [1 ,2 ]
He, Zhihao [1 ,2 ]
Zhou, Pengkun [1 ,2 ]
机构
[1] Tianjin Univ, Sch Environm Sci & Engn, Haihe Educ Area, Tianjin 300350, Peoples R China
[2] Tianjin Univ, Key Lab Efficient Utilizat Low & Medium Grade Ener, Minist Educ China, Tianjin 300350, Peoples R China
基金
中国国家自然科学基金;
关键词
District heating; Hydraulic network simulation; Hydraulic identification method; Pump optimization strategy; OPTIMIZATION; IDENTIFICATION; PERFORMANCE;
D O I
10.1016/j.energy.2023.127132
中图分类号
O414.1 [热力学];
学科分类号
摘要
The district heating (DH) system is one of the most efficient solutions for providing space heating with reduced energy and carbon emissions. The goal of this paper is to research the different operation control strategy of the pump, which requires addressing two issues before testing operation control strategy. One is the simulation problem, and the other is the identification problem to obtain an accurate hydraulic simulation model. In this paper, a novel adaptive double-Newton-iteration hydraulic calculation method is proposed for the meshed DH network. An identification algorithm is also proposed to obtain precise hydraulic resistances of pipelines and the coefficients of the pump curves using the measured operating data of the DH network. An optimal pressure control (OPC) strategy is then proposed to minimize the pump head based on the identified hydraulic resistances. During simulation, the hydraulic performances of DH network under the OPC strategy, the conventional constant speed control (CSC) strategy and the constant pressure difference control (CPDC) strategy were compared. Re- sults show that implementation of the OPC strategy can save about 9.0%-52.9% pumping energy compared with the CSC and CPDC strategies during the heating period.
引用
收藏
页数:14
相关论文
共 31 条
[1]   Hydraulic resistance coefficient identification in pipelines [J].
Aida-Zade, K. R. ;
Kuliev, S. Z. .
AUTOMATION AND REMOTE CONTROL, 2016, 77 (07) :1225-1239
[2]  
[Anonymous], 2021, 2021 CHIN URB CONSTR
[3]  
Cai Z, 2019, FLUID MECH PUMPS FAN
[4]   The new method for hydraulic calculations of a district heating (DH) network [J].
Chicherin, Stanislav ;
Zhuikov, Andrey ;
Junussova, Lyazzat .
ENERGY, 2022, 260
[5]   District heating potential in the case of low-grade waste heat recovery from energy intensive industries [J].
Cioccolanti, Luca ;
Renzi, Massimiliano ;
Comodi, Gabriele ;
Rossi, Mose .
APPLIED THERMAL ENGINEERING, 2021, 191
[6]   District heating planning with focus on solar energy and heat pump using GIS and the supervised learning method: Case study of Gaziantep, Turkey [J].
Eslami, Shahab ;
Noorollahi, Younes ;
Marzband, Mousa ;
Anvari-Moghaddam, Amjad .
ENERGY CONVERSION AND MANAGEMENT, 2022, 269
[7]   Analysis of a hybrid control scheme in the district heating system with distributed variable speed pumps [J].
Gu, Jihao ;
Wang, Jin ;
Qi, Chengying ;
Yu, Xiaojuan ;
Sunden, Bengt .
SUSTAINABLE CITIES AND SOCIETY, 2019, 48
[8]   Optimal operation of large district heating networks through fast fluid-dynamic simulation [J].
Guelpa, Elisa ;
Toro, Claudia ;
Sciacovelli, Adriano ;
Melli, Roberto ;
Sciubba, Enrico ;
Verda, Vittorio .
ENERGY, 2016, 102 :586-595
[9]   Improved district heating substation efficiency with a new control strategy [J].
Gustafsson, Jonas ;
Delsing, Jerker ;
van Deventer, Jan .
APPLIED ENERGY, 2010, 87 (06) :1996-2004
[10]  
Idelchik I. E., 1986, Handbook of hydraulic resistance, V2nd ed