A case study on using district heating network flexibility for thermal load shifting

被引:12
|
作者
Van Oevelen, Tijs [1 ]
Scapino, Luca
Al Koussa, Jad
Vanhoudt, Dirk
机构
[1] VITO, Boeretang 200, B-2400 Mol, Belgium
基金
欧盟地平线“2020”;
关键词
Thermal networks flexibility; Supply temperature response tests; Substation response tests; Experimental campaign; OPERATIONAL OPTIMIZATION;
D O I
10.1016/j.egyr.2021.09.061
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In district heating (DH) systems, the time of use of energy is becoming more important. For example, the use of sustainable baseload units over peak units is favored. Also heat production units coupled to the electricity grid, such as cogeneration plants and heat pumps, can profit from fluctuating prices and balance the electricity network at the same time. In this context, DH utility companies can benefit from shifting thermal loads in time. In the H2020 TEMPO project, a case study is being conducted to shift thermal loads using the thermal flexibility of the DH network. The thermal storage capacity of the network is utilized by dynamically changing the supply temperature. The study consists of two experimental campaigns, designed to dynamically characterize the available storage capacity in the DH network. In these campaigns, the supply temperature in one of the TEMPO demo sites was increased/decreased several times per day. The flow rate, supply and return temperatures were measured at the heat source and at a large customer building. The analysis of the experimental results focused on two aspects: the propagation of flow temperatures through the network and the response of customer substations to supply temperature changes. The data and knowledge gathered in these test campaigns will be used to develop models for a model predictive controller (MPC) which will be tested in the next heating season. (C) 2021 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:1 / 8
页数:8
相关论文
共 50 条
  • [41] Piping network design of geothermal district heating systems: Case study for a university campus
    Yildirim, Nurdan
    Toksoy, Macit
    Gokcen, Gulden
    ENERGY, 2010, 35 (08) : 3256 - 3262
  • [42] Collaborative scheduling of source-network-load-storage considering thermal inertia of the integrated electricity and district heating systems
    Xie, Wanying
    Li, Qifen
    Yang, Yongwen
    Wei, Qiaoni
    ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2021,
  • [43] Integration of biofuel production into district heating Part II: an evaluation of the district heating production costs using Stockholm as a case study
    Ilic, Danica Djuric
    Dotzauer, Erik
    Trygg, Louise
    Broman, Goran
    JOURNAL OF CLEANER PRODUCTION, 2014, 69 : 188 - 198
  • [44] Research on thermal load prediction of district heating station based on transfer learning
    Wang, Chendong
    Yuan, Jianjuan
    Huang, Ke
    Zhang, Ji
    Zheng, Lihong
    Zhou, Zhihua
    Zhang, Yufeng
    Energy, 2022, 239
  • [45] Decentralized optimization approaches for using the load flexibility of electric heating devices
    Dengiz, Thomas
    Jochem, Patrick
    ENERGY, 2020, 193 : 1119 - 1133
  • [46] Research on thermal load prediction of district heating station based on transfer learning
    Wang, Chendong
    Yuan, Jianjuan
    Huang, Ke
    Zhang, Ji
    Zheng, Lihong
    Zhou, Zhihua
    Zhang, Yufeng
    ENERGY, 2022, 239
  • [47] Heat Load Prediction for District Heating Systems with Temporal Convolutional Network and CatBoost
    C. Han
    M. Gong
    J. Sun
    Y. Zhao
    L. Jing
    C. Dong
    Z. Zhao
    Thermal Engineering, 2023, 70 : 719 - 726
  • [48] Heat Load Prediction for District Heating Systems with Temporal Convolutional Network and CatBoost
    Han, C.
    Gong, M.
    Sun, J.
    Zhao, Y.
    Jing, L.
    Dong, C.
    Zhao, Z.
    THERMAL ENGINEERING, 2023, 70 (09) : 719 - 726
  • [49] Diameter optimization of district heating and cooling piping network based on hourly load
    Zeng, Jing
    Han, Jie
    Zhang, Guoqiang
    APPLIED THERMAL ENGINEERING, 2016, 107 : 750 - 757
  • [50] Analysis on the Thermal Balance and Operational Parameters for the District Heating System with Peak Load Boilers in Heating Substations
    Li, Xiangli
    Wang, Haichao
    Wu, Xiaozhou
    Duanmu, Lin
    Teppo, Esa
    Lahdelma, Risto
    Li, Ji
    Yu, Li
    ENERGIES, 2020, 13 (23)