Modelica-based simulations of decentralised substations to support decarbonisation of district heating and cooling

被引:9
|
作者
Abugabbara, Marwan [1 ]
Lindhe, Jonas [1 ]
Javed, Saqib [1 ]
Bagge, Hans [2 ]
Johansson, Dennis [1 ]
机构
[1] Lund Univ, Div Bldg Serv, Dept Bldg & Environm Technol, S-22100 Lund, Sweden
[2] Lund Univ, Div Bldg Phys, Dept Bldg & Environm Technol, S-22100 Lund, Sweden
关键词
Heat pumps; Waste heat recovery; 5GDHC; Modelica; SYSTEMS;
D O I
10.1016/j.egyr.2021.08.081
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
District heating and cooling are considered effective solutions to decarbonise the energy use in the building sector. The latest generation of district heating and cooling also increases the potential of integrating heat pumps and chillers in each building substation. The benefits of such integration are the reduction of network temperature and distribution losses; the recovery of waste heat through a bidirectional network; and the decentralised production of heating and cooling. Sizing the network depends mainly on the heat flows between connected buildings. The substation performance and technical installations determine these heat flows. We present in this paper Modelica-based simulations of two design cases for substations. The first design case involves installed heat pump, chiller, and circulation pumps. Alternatively, the second design enables the heat pump to provide direct cooling through a heat exchanger. The models for these installations were developed using the Modelica language to perform continuous-time simulations. The performance in each design case was evaluated in terms of seasonal coefficient of performance and total electric energy use. An analysis on a cluster of 11 buildings suggests that the addition of the direct cooling heat exchanger can save up to 10% of the total annual electric energy use. Additional savings can be achieved by optimising the building supply temperatures and the district network temperature. (C) 2021 The Author(s). Published by Elsevier Ltd.
引用
收藏
页码:465 / 472
页数:8
相关论文
共 50 条
  • [31] Large-scale monitoring of operationally diverse district heating substations: A reference-group based approach
    Farouq, Shiraz
    Byttner, Stefan
    Bouguelia, Mohamed-Rafik
    Nord, Natasa
    Gadd, Henrik
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2020, 90
  • [32] Enabling large-scale dynamic simulations and reducing model complexity of district heating and cooling systems by aggregation
    Falay, Basak
    Schweiger, Gerald
    O'Donovan, Keith
    Leusbrock, Ingo
    ENERGY, 2020, 209 (209)
  • [33] A prosumer-based sector-coupled district heating and cooling laboratory architecture
    Zinsmeister, Daniel
    Licklederer, Thomas
    Adldinger, Stefan
    Christange, Franz
    Tzscheutschler, Peter
    Hamacher, Thomas
    Peric, Vedran S.
    SMART ENERGY, 2023, 9
  • [34] Study on the Variation in Heating Energy Based on Energy Consumption from the District Heating System, Simulations and Pattern Analysis
    Kim, Soo-Jeong
    Park, Doo-Yong
    ENERGIES, 2022, 15 (11)
  • [35] INDIGO Project: A Simulation Based Approach To Support District Cooling Design And Operation
    Costa, Andrea
    Bassani, Andrea
    Febres, Jesus
    Lopez, Susana
    Herrero, Saioa
    Rama, Miika
    Klobut, Krzysztof
    Stauffer, Yves
    Carrillo, Rafael E.
    Naveran, Gorka
    Keane, Marcus
    Sterling, Raymond
    PROCEEDINGS OF BUILDING SIMULATION 2019: 16TH CONFERENCE OF IBPSA, 2020, : 1913 - 1920
  • [36] On structures and properties of polyethylene during heating and cooling processes based on molecular dynamics simulations
    Wang, Jinjian
    Zhu, Xiaolei
    Lu, Xiaohua
    Zhou, Zhou
    Wang, Gang
    COMPUTATIONAL AND THEORETICAL CHEMISTRY, 2015, 1052 : 26 - 34
  • [37] A novel approach to district heating and cooling network design based on life cycle cost optimization
    Best, Robert E.
    Kalehbasti, P. Rezazadeh
    Lepech, Michael D.
    ENERGY, 2020, 194
  • [38] Anomaly Detection of Heat Energy Usage in District Heating Substations Using LSTM based Variational Autoencoder Combined with Physical Model
    Zhang, Fan
    Fleyeh, Hasan
    PROCEEDINGS OF THE 15TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2020), 2020, : 153 - 158
  • [40] Developing a multicriteria decision support framework for CHP based combined district heating systems
    Wang, Haichao
    Duanmu, Lin
    Lahdelma, Risto
    Li, Xiangli
    APPLIED ENERGY, 2017, 205 : 345 - 368