Understanding District Heating Networks Vulnerability: A Comprehensive Analytical Approach with Controllability Consideration

被引:7
|
作者
Mao, Ding [1 ,2 ,3 ]
Wang, Peng [1 ,2 ,5 ]
Fang, Yi-Ping [4 ]
Ni, Long [1 ,2 ,5 ]
机构
[1] Harbin Inst Technol, Sch Architecture, Harbin 150090, Heilongjiang, Peoples R China
[2] Minist Ind & Informat Technol, Key Lab Cold Reg Urban & Rural Human Settlement En, Harbin 150001, Heilongjiang, Peoples R China
[3] Univ Paris Saclay, Lab Genie Ind, CentraleSupelec, 3 Rue Joliot Curie, F-91190 Gif Sur Yvette, France
[4] Univ Paris Saclay, Chair Risk & Resilience Complex Syst, Lab Genie Ind, CentraleSupelec, 3 Rue Joliot Curie, F-91190 Gif Sur Yvette, France
[5] Harbin Inst Technol, 2651 2nd Campus,73 Huanghe Rd, Harbin 150090, Peoples R China
关键词
District heating network; Vulnerability; Controllability; Failure scenario; Component importance; RELIABILITY; OPTIMIZATION; TECHNOLOGY; FRAMEWORK; SYSTEM;
D O I
10.1016/j.scs.2023.105068
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
District heating networks (DHNs) are critical infrastructures that ensure production and residents' living. Analyzing vulnerability characteristics of DHNs is of great significance in heating safety decision-making. In this study, we analyze the structure, function, operation, and failure characteristics of DHNs and propose vulnera-bility analysis methods. We develop failure simulation models under fully-controllable (FC) and uncontrollable (UC) conditions for six failure scenarios based on component importance. To verify the proposed methods' effectiveness, we applied them to a DHN in a Chinese city. Upon analyzing the appositeness of various vulner-ability assessment indicators, we find that the heat source connectivity efficiency loss rate, established based on hydraulic distribution in DHNs, can effectively characterize both topological and functional vulnerability. Our analysis also reveals that controllable DHNs, which evenly distribute heat supply among connected users for fairness, can result in lower flow and greater functional vulnerability compared to UC DHNs. In particular, under large area failure (AF) scenarios, the average functional vulnerability of UC DHNs increases by 27.59% to 38.30% compared to small-AF scenarios, while that of controllable DHNs increases by 103.78% to 120.58%. The proposed vulnerability assessment framework considering topology and function from both quantitative and qualitative perspectives, can grasp heating vulnerabilities multi-dimensionally.
引用
收藏
页数:18
相关论文
共 36 条
  • [21] A quasi-dynamic model and comprehensive simulation study of district heating networks considering temperature delay
    Li, Chenghao
    Prasad, Sunku
    Bai, Yunfei
    Turkeri, Cebrail
    Wang, Jihong
    ENERGY, 2025, 318
  • [22] Comprehensive Drought Vulnerability Assessment in Northwestern Odisha: A Fuzzy Logic and Analytical Hierarchy Process Integration Approach
    Mahato, Susanta
    Mandal, Gita
    Kundu, Barnali
    Kundu, Sonali
    Joshi, P. K.
    Kumar, Pankaj
    WATER, 2023, 15 (18)
  • [23] Decentralized Dispatch of Distributed Multi-Energy Systems With Comprehensive Regulation of Heat Transport in District Heating Networks
    Sun, Qinghan
    Zhao, Tian
    Chen, Qun
    He, Kelun
    Ma, Huan
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2023, 14 (01) : 97 - 110
  • [24] Gray-Box Approach for Thermal Modelling of Buildings for Applications in District Heating and Cooling Networks
    Saurav, Kumar
    Chandan, Vikas
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS (E-ENERGY'17), 2017, : 347 - 352
  • [25] Dynamic control of district heating networks with integrated emission modelling: A dynamic knowledge graph approach
    Hofmeister, Markus
    Lee, Kok Foong
    Tsai, Yi-Kai
    Mueller, Magnus
    Nagarajan, Karthik
    Mosbach, Sebastian
    Akroyd, Jethro
    Kraft, Markus
    ENERGY AND AI, 2024, 17
  • [26] Developing a combinatorial optimisation approach to design district heating networks based on deep geothermal energy
    Weinand, Jann Michael
    Kleinebrahm, Max
    McKenna, Russell
    Mainzer, Kai
    Fichtner, Wolf
    APPLIED ENERGY, 2019, 251
  • [27] Design of district heating networks through an integrated thermo-fluid dynamics and reliability modelling approach
    Badami, Marco
    Fonti, Antonio
    Carpignano, Andrea
    Grosso, Daniele
    ENERGY, 2018, 144 : 826 - 838
  • [28] District heating systems load forecasting: a deep neural networks model based on similar day approach
    Gong, Mingju
    Zhou, Haojie
    Wang, Qilin
    Wang, Sheng
    Yang, Peng
    ADVANCES IN BUILDING ENERGY RESEARCH, 2020, 14 (03) : 372 - 388
  • [29] Optimising low-temperature district heating networks: A simulation-based approach with experimental verification
    Buonomano, A.
    Forzano, C.
    Mongibello, L.
    Palombo, A.
    Russo, G.
    ENERGY, 2024, 304
  • [30] An adjoint optimization approach for the topological design of large-scale district heating networks based on nonlinear models
    Blommaert, Maarten
    Wack, Y.
    Baelmans, M.
    APPLIED ENERGY, 2020, 280 (280)