A coupled hydraulic-thermal dynamic model for the steam network in a heat-electricity integrated energy system

被引:9
作者
Yang, Weijia [1 ,2 ,3 ]
Huang, Yuping [1 ,3 ]
Zhao, Daiqing [1 ,3 ]
机构
[1] Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Guangdong Prov Key Lab New & Renewable Energy Res, Guangzhou 510640, Peoples R China
关键词
Coupled hydro -thermal dynamic model; Method of characteristics; Steam thermal network; Thermal delay; Topological sequence; DISTRICT; OPTIMIZATION; STORAGE; TIME;
D O I
10.1016/j.energy.2022.125800
中图分类号
O414.1 [热力学];
学科分类号
摘要
Steam is the most common heat support medium in an industrial park's heat-electricity integrated energy system (HE-IES). The steam network (SN) has excellent time delays and heat storage capacity compared to the grid. However, regarding the HE-IES scheduling, previous studies ignored the dynamic delay characteristics of the hydraulic-thermal calculation processes in the SN and the time delays between the SN and the grid when they were operated concurrently. Thus, this paper proposes an improved method of characteristics to incorporate the dynamic hydraulic-thermal processes and quantify the dynamic offsets. To solve the time asymmetry problem associated with the grid, the SN is modeled by a thermal-electrical analogy model and graph theory. The effectiveness of the proposed model was verified by actual SN operating data, and less than 9% relative error between the model outputs and actual results was obtained. The model can satisfy the HE-IES operation re-quirements with high accuracy. Moreover, in contrast to a thermodynamic process, the hydraulic process can be regarded as a transient process. A generic delay time-distance formula is fitted and applied in the expression of the thermodynamic processes to better improve the HE-IES operations.
引用
收藏
页数:18
相关论文
共 40 条
[1]  
Achour B, 2020, NEW FORMULATION DARC, P13
[2]   Multi-Energy Flow Calculation Considering the Convexification Network Constraints for the Integrated Energy System [J].
Chen, Danlei ;
Bai, Xiaoqing .
FRONTIERS IN ENERGY RESEARCH, 2021, 9
[3]   Network flow calculation based on the directional nodal potential method for meshed heating networks [J].
Chen, Dongwen ;
Li, Yong ;
Abbas, Zulkarnain ;
Li, Dehong ;
Wang, Ruzhu .
ENERGY, 2022, 243
[4]   GIS-based optimisation for district heating network planning [J].
Chicherin, Stanislav ;
Volkova, Anna ;
Latosov, Eduard .
16TH INTERNATIONAL SYMPOSIUM ON DISTRICT HEATING AND COOLING, DHC2018, 2018, 149 :635-641
[5]   Real time optimal control of district cooling system with thermal energy storage using neural networks [J].
Cox, Sam J. ;
Kim, Dongsu ;
Cho, Heejin ;
Mago, Pedro .
APPLIED ENERGY, 2019, 238 :466-480
[6]   Improved quasi-steady-state power flow calculation for district heating systems: A coupled Newton-Raphson approach [J].
Dancker, Jonte ;
Wolter, Martin .
APPLIED ENERGY, 2021, 295
[7]   Heat transmission over long pipes: New model for fast and accurate district heating simulations [J].
Denarie, A. ;
Aprile, M. ;
Motta, M. .
ENERGY, 2019, 166 :267-276
[8]  
Deng SS, 2002, APPL MATH MECH-ENGL, V23, P703
[9]   Modelling temperature dynamics of a district heating system in Naestved, Denmark - A case study [J].
Gabrielaitiene, Irina ;
Bohm, Benny ;
Sunden, Bengt .
ENERGY CONVERSION AND MANAGEMENT, 2007, 48 (01) :78-86
[10]   Economic comparison of 4GDH and 5GDH systems - Using a case study [J].
Gudmundsson, Oddgeir ;
Schmidt, Ralf-Roman ;
Dyrelund, Anders ;
Thorsen, Jan Eric .
ENERGY, 2022, 238