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Modeling of a bidirectional substation in a district heating network: Validation, dynamic analysis, and application to a solar prosumer

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  • Dino, Giuseppe Edoardo
  • Catrini, Pietro
  • Buscemi, Alessandro
  • Piacentino, Antonio
  • Palomba, Valeria
  • Frazzica, Andrea

Abstract

Thermal grids will play a key role in the development of local energy communities and the achievement of 100% renewable societies. Such systems allow excess heat produced by distributed producers through renewable energy sources (also referred to as “thermal prosumers”) to be shared among other consumers characterized by high heat demand or who still depend on fossil fuels. However, to achieve more reliable results when performing energy analyses, it is of utmost importance to develop models of prosumers’ substations, where technical details (e.g., type of connections, heat exchangers, valves, etc.) and controllers are accounted for. Starting from the layout of a bidirectional substation for a thermal energy network proposed in the literature, this paper proposes a dynamic model that replicates the experimental setup in the TRNSYS environment. Validation results show a good matching between simulation and experiments in terms of dynamic behavior and energy balance. To show the capabilities of the proposed model, a prosumer with heat available from 205 m2 solar thermal collectors is considered as a case study. The analysis is performed by assuming two locations characterized by different irradiation values, i.e., Palermo (Italy) and Berlin (Germany). The results show that exchanging the excess heat produced on-site with a heating network allows the solar collectors to reach peak heat production, which is 130 kW and 110 kW for Palermo and Berlin, respectively. The surplus heat sold to the network is equal to 66% and 29% of the total energy exchange within the substation for Palermo and Berlin, respectively. Conversely, the self-consumption of the produced heat accounts for 21.2% and 30.6%, respectively. The model prospectively represents a valuable tool to develop feasibility studies in Thermal Energy Communities and assess the potential of innovative energy- and cost-effective operation strategies.

Suggested Citation

  • Dino, Giuseppe Edoardo & Catrini, Pietro & Buscemi, Alessandro & Piacentino, Antonio & Palomba, Valeria & Frazzica, Andrea, 2023. "Modeling of a bidirectional substation in a district heating network: Validation, dynamic analysis, and application to a solar prosumer," Energy, Elsevier, vol. 284(C).
    • Handle: RePEc:eee:energy:v:284:y:2023:i:c:s0360544223020157
    DOI: 10.1016/j.energy.2023.128621
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    1. Kauko, Hanne & Kvalsvik, Karoline Husevåg & Rohde, Daniel & Nord, Natasa & Utne, Åmund, 2018. "Dynamic modeling of local district heating grids with prosumers: A case study for Norway," Energy, Elsevier, vol. 151(C), pages 261-271.
    2. Pipiciello, Mauro & Caldera, Matteo & Cozzini, Marco & Ancona, Maria A. & Melino, Francesco & Di Pietra, Biagio, 2021. "Experimental characterization of a prototype of bidirectional substation for district heating with thermal prosumers," Energy, Elsevier, vol. 223(C).
    3. Li, Haoran & Hou, Juan & Hong, Tianzhen & Nord, Natasa, 2022. "Distinguish between the economic optimal and lowest distribution temperatures for heat-prosumer-based district heating systems with short-term thermal energy storage," Energy, Elsevier, vol. 248(C).
    4. Mendes, Gonçalo & Ioakimidis, Christos & Ferrão, Paulo, 2011. "On the planning and analysis of Integrated Community Energy Systems: A review and survey of available tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4836-4854.
    5. Huang, Pei & Copertaro, Benedetta & Zhang, Xingxing & Shen, Jingchun & Löfgren, Isabelle & Rönnelid, Mats & Fahlen, Jan & Andersson, Dan & Svanfeldt, Mikael, 2020. "A review of data centers as prosumers in district energy systems: Renewable energy integration and waste heat reuse for district heating," Applied Energy, Elsevier, vol. 258(C).
    6. Licklederer, Thomas & Hamacher, Thomas & Kramer, Michael & Perić, Vedran S., 2021. "Thermohydraulic model of Smart Thermal Grids with bidirectional power flow between prosumers," Energy, Elsevier, vol. 230(C).
    7. Moallemi, A. & Arabkoohsar, A. & Pujatti, F.J.P. & Valle, R.M. & Ismail, K.A.R., 2019. "Non-uniform temperature district heating system with decentralized heat storage units, a reliable solution for heat supply," Energy, Elsevier, vol. 167(C), pages 80-91.
    8. Lanka Horstink & Julia M. Wittmayer & Kiat Ng & Guilherme Pontes Luz & Esther Marín-González & Swantje Gährs & Inês Campos & Lars Holstenkamp & Sem Oxenaar & Donal Brown, 2020. "Collective Renewable Energy Prosumers and the Promises of the Energy Union: Taking Stock," Energies, MDPI, vol. 13(2), pages 1-30, January.
    9. Lund, Henrik & Østergaard, Poul Alberg & Connolly, David & Mathiesen, Brian Vad, 2017. "Smart energy and smart energy systems," Energy, Elsevier, vol. 137(C), pages 556-565.
    10. Kim, Ryunhee & Hong, Yejin & Choi, Youngwoong & Yoon, Sungmin, 2021. "System-level fouling detection of district heating substations using virtual-sensor-assisted building automation system," Energy, Elsevier, vol. 227(C).
    11. Yang, Xiaochen & Li, Hongwei & Svendsen, Svend, 2016. "Decentralized substations for low-temperature district heating with no Legionella risk, and low return temperatures," Energy, Elsevier, vol. 110(C), pages 65-74.
    12. Bünning, Felix & Wetter, Michael & Fuchs, Marcus & Müller, Dirk, 2018. "Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization," Applied Energy, Elsevier, vol. 209(C), pages 502-515.
    13. Revesz, Akos & Jones, Phil & Dunham, Chris & Davies, Gareth & Marques, Catarina & Matabuena, Rodrigo & Scott, Jim & Maidment, Graeme, 2020. "Developing novel 5th generation district energy networks," Energy, Elsevier, vol. 201(C).
    14. Jodeiri, A.M. & Goldsworthy, M.J. & Buffa, S. & Cozzini, M., 2022. "Role of sustainable heat sources in transition towards fourth generation district heating – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    15. Danhong Wang & Jan Carmeliet & Kristina Orehounig, 2021. "Design and Assessment of District Heating Systems with Solar Thermal Prosumers and Thermal Storage," Energies, MDPI, vol. 14(4), pages 1-27, February.
    16. Bürger, Veit & Steinbach, Jan & Kranzl, Lukas & Müller, Andreas, 2019. "Third party access to district heating systems - Challenges for the practical implementation," Energy Policy, Elsevier, vol. 132(C), pages 881-892.
    17. Nord, Natasa & Shakerin, Mohammad & Tereshchenko, Tymofii & Verda, Vittorio & Borchiellini, Romano, 2021. "Data informed physical models for district heating grids with distributed heat sources to understand thermal and hydraulic aspects," Energy, Elsevier, vol. 222(C).
    18. Gross, Michel & Karbasi, Babak & Reiners, Tobias & Altieri, Lisa & Wagner, Hermann-Josef & Bertsch, Valentin, 2021. "Implementing prosumers into heating networks," Energy, Elsevier, vol. 230(C).
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