IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v284y2023ics0360544223026282.html
   My bibliography  Save this article

Modelling of solar assisted district heating system with seasonal storage tank by two mathematical methods and with two climatic data as input

Author

Listed:
  • Hiris, Daniel P.
  • Pop, Octavian G.
  • Dobrovicescu, Alexandru
  • Dudescu, Mircea C.
  • Balan, Mugur C.

Abstract

The goal of the study is to present two independent solutions capable of modelling the thermal behaviour of the solar assisted district heating systems with seasonal thermal storage. The study uses a new approach in modelling the thermal behaviour of the solar assisted district heating systems, by using two calculation methods: the analytical method and TRNSYS to perform the simulations, and by using two climatic data as input: EnergyPlus and Meteonorm. The heat demand of the buildings, the shares of energy produced by the solar thermal system, and by the gas boiler used as backup, and a very large number of the system parameters: temperature variation in each layer of the seasonal heat storage tank, temperatures, and flow rates on all the circuits, etc. were calculated. The results were compared using three parameters: Mean Deviation, Mean Bias Error and Root Mean Square Error. All the results calculated with the two methods were found to be very close. The annual solar fraction was found to be in the range of (34.9–50.2) %, depending on the type of the considered solar thermal collector, the combination of calculation method and climatic data as input. The study proves that both analytical method and TRNSYS can be used successfully to simulate the thermal behaviour of solar assisted district heating systems with seasonal heat storage.

Suggested Citation

  • Hiris, Daniel P. & Pop, Octavian G. & Dobrovicescu, Alexandru & Dudescu, Mircea C. & Balan, Mugur C., 2023. "Modelling of solar assisted district heating system with seasonal storage tank by two mathematical methods and with two climatic data as input," Energy, Elsevier, vol. 284(C).
    • Handle: RePEc:eee:energy:v:284:y:2023:i:c:s0360544223026282
    DOI: 10.1016/j.energy.2023.129234
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223026282
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.129234?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sun, Chunhua & Yuan, Lingyu & Chen, Yun & Cao, Shanshan & Xia, Guoqiang & Qi, Chengying & Wu, Xiangdong, 2023. "An intelligent control and regulation strategy aiming at building level heating balance in district heating system," Energy, Elsevier, vol. 278(PB).
    2. Sánchez-García, Luis & Averfalk, Helge & Möllerström, Erik & Persson, Urban, 2023. "Understanding effective width for district heating," Energy, Elsevier, vol. 277(C).
    3. De Masi, Rosa Francesca & Gigante, Antonio & Ruggiero, Silvia & Vanoli, Giuseppe Peter, 2021. "Impact of weather data and climate change projections in the refurbishment design of residential buildings in cooling dominated climate," Applied Energy, Elsevier, vol. 303(C).
    4. Wang, Jiangjiang & Huo, Shuojie & Yan, Rujing & Cui, Zhiheng, 2022. "Leveraging heat accumulation of district heating network to improve performances of integrated energy system under source-load uncertainties," Energy, Elsevier, vol. 252(C).
    5. Rakesh Sinha & Birgitte Bak-Jensen & Jayakrishnan Radhakrishna Pillai & Hamidreza Zareipour, 2019. "Flexibility from Electric Boiler and Thermal Storage for Multi Energy System Interaction," Energies, MDPI, vol. 13(1), pages 1-21, December.
    6. Jakubek, Dariusz & Ocłoń, Paweł & Nowak-Ocłoń, Marzena & Sułowicz, Maciej & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír, 2023. "Mathematical modelling and model validation of the heat losses in district heating networks," Energy, Elsevier, vol. 267(C).
    7. Lygnerud, Kristina & Popovic, Tobias & Schultze, Sebastian & Støchkel, Hanne Kortegaard, 2023. "District heating in the future - thoughts on the business model," Energy, Elsevier, vol. 278(C).
    8. Pop, Octavian G. & Fechete Tutunaru, Lucian & Bode, Florin & Abrudan, Ancuţa C. & Balan, Mugur C., 2018. "Energy efficiency of PCM integrated in fresh air cooling systems in different climatic conditions," Applied Energy, Elsevier, vol. 212(C), pages 976-996.
    9. Antoniadis, Christodoulos N. & Martinopoulos, Georgios, 2019. "Optimization of a building integrated solar thermal system with seasonal storage using TRNSYS," Renewable Energy, Elsevier, vol. 137(C), pages 56-66.
    10. Morvaj, Boran & Evins, Ralph & Carmeliet, Jan, 2016. "Optimising urban energy systems: Simultaneous system sizing, operation and district heating network layout," Energy, Elsevier, vol. 116(P1), pages 619-636.
    11. Ziemele, Jelena & Gendelis, Stanislavs & Dace, Elina, 2023. "Impact of global warming and building renovation on the heat demand and district heating capacity: Case of the city of Riga," Energy, Elsevier, vol. 276(C).
    12. Pakere, Ieva & Blumberga, Dagnija, 2020. "Solar power or solar heat: What will upraise the efficiency of district heating? Multi-criteria analyses approach," Energy, Elsevier, vol. 198(C).
    13. Tulus, Victor & Boer, Dieter & Cabeza, Luisa F. & Jiménez, Laureano & Guillén-Gosálbez, Gonzalo, 2016. "Enhanced thermal energy supply via central solar heating plants with seasonal storage: A multi-objective optimization approach," Applied Energy, Elsevier, vol. 181(C), pages 549-561.
    14. Pavičević, Matija & Novosel, Tomislav & Pukšec, Tomislav & Duić, Neven, 2017. "Hourly optimization and sizing of district heating systems considering building refurbishment – Case study for the city of Zagreb," Energy, Elsevier, vol. 137(C), pages 1264-1276.
    15. Soloha, Raimonda & Pakere, Ieva & Blumberga, Dagnija, 2017. "Solar energy use in district heating systems. A case study in Latvia," Energy, Elsevier, vol. 137(C), pages 586-594.
    16. Li, Yanfei & O'Neill, Zheng & Zhang, Liang & Chen, Jianli & Im, Piljae & DeGraw, Jason, 2021. "Grey-box modeling and application for building energy simulations - A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    17. Kim, Min-Hwi & Kim, Deukwon & Heo, Jaehyeok & Lee, Dong-Won, 2019. "Techno-economic analysis of hybrid renewable energy system with solar district heating for net zero energy community," Energy, Elsevier, vol. 187(C).
    18. Merlet, Yannis & Baviere, Roland & Vasset, Nicolas, 2023. "Optimal retrofit of district heating network to lower temperature levels," Energy, Elsevier, vol. 282(C).
    19. Flynn, Ciarán & Sirén, Kai, 2015. "Influence of location and design on the performance of a solar district heating system equipped with borehole seasonal storage," Renewable Energy, Elsevier, vol. 81(C), pages 377-388.
    20. Dénarié, A. & Aprile, M. & Motta, M., 2023. "Dynamical modelling and experimental validation of a fast and accurate district heating thermo-hydraulic modular simulation tool," Energy, Elsevier, vol. 282(C).
    21. Abokersh, Mohamed Hany & Vallès, Manel & Cabeza, Luisa F. & Boer, Dieter, 2020. "A framework for the optimal integration of solar assisted district heating in different urban sized communities: A robust machine learning approach incorporating global sensitivity analysis," Applied Energy, Elsevier, vol. 267(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mengting Jiang & Camilo Rindt & David M. J. Smeulders, 2022. "Optimal Planning of Future District Heating Systems—A Review," Energies, MDPI, vol. 15(19), pages 1-38, September.
    2. Chu, Shunzhou & Sethuvenkatraman, Subbu & Goldsworthy, Mark & Yuan, Guofeng, 2022. "Techno-economic assessment of solar assisted precinct level heating systems with seasonal heat storage for Australian cities," Renewable Energy, Elsevier, vol. 201(P1), pages 841-853.
    3. Liu, Yanfeng & Tang, Huanlong & Chen, Yaowen & Wang, Dengjia & Song, Cong, 2022. "Optimization of layout and diameter for distributed solar heating network with multi-source and multi-sink," Energy, Elsevier, vol. 258(C).
    4. Tulus, Victor & Abokersh, Mohamed Hany & Cabeza, Luisa F. & Vallès, Manel & Jiménez, Laureano & Boer, Dieter, 2019. "Economic and environmental potential for solar assisted central heating plants in the EU residential sector: Contribution to the 2030 climate and energy EU agenda," Applied Energy, Elsevier, vol. 236(C), pages 318-339.
    5. Wang, Yang & Zhang, Shanhong & Chow, David & Kuckelkorn, Jens M., 2021. "Evaluation and optimization of district energy network performance: Present and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    6. Kavian, Soheil & Hakkaki-Fard, Ali & Jafari Mosleh, Hassan, 2020. "Energy performance and economic feasibility of hot spring-based district heating system – A case study," Energy, Elsevier, vol. 211(C).
    7. Abokersh, Mohamed Hany & Vallès, Manel & Cabeza, Luisa F. & Boer, Dieter, 2020. "A framework for the optimal integration of solar assisted district heating in different urban sized communities: A robust machine learning approach incorporating global sensitivity analysis," Applied Energy, Elsevier, vol. 267(C).
    8. Xie, Zichan & Wang, Haichao & Hua, Pengmin & Lahdelma, Risto, 2023. "Discrete event simulation for dynamic thermal modelling of district heating pipe," Energy, Elsevier, vol. 285(C).
    9. Giordano, Nicolò & Raymond, Jasmin, 2019. "Alternative and sustainable heat production for drinking water needs in a subarctic climate (Nunavik, Canada): Borehole thermal energy storage to reduce fossil fuel dependency in off-grid communities," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    10. Rehman, Hassam ur & Hirvonen, Janne & Sirén, Kai, 2018. "Performance comparison between optimized design of a centralized and semi-decentralized community size solar district heating system," Applied Energy, Elsevier, vol. 229(C), pages 1072-1094.
    11. Chuat, Arthur & Terrier, Cédric & Schnidrig, Jonas & Maréchal, François, 2024. "Identification of typical district configurations: A two-step global sensitivity analysis framework," Energy, Elsevier, vol. 296(C).
    12. Gonzalez-Salazar, Miguel & Klossek, Julia & Dubucq, Pascal & Punde, Thomas, 2023. "Portfolio optimization in district heating: Merit order or mixed integer linear programming?," Energy, Elsevier, vol. 265(C).
    13. Fiorentini, Massimo & Heer, Philipp & Baldini, Luca, 2023. "Design optimization of a district heating and cooling system with a borehole seasonal thermal energy storage," Energy, Elsevier, vol. 262(PB).
    14. Yang, Tianrun & Liu, Wen & Sun, Qie & Hu, Weihao & Kramer, Gert Jan, 2023. "Techno-economic-environmental analysis of seasonal thermal energy storage with solar heating for residential heating in China," Energy, Elsevier, vol. 283(C).
    15. Qiu, Guodong & Yu, Shipeng & Cai, Weihua, 2021. "A novel heating strategy and its optimization of a solar heating system for a commercial building in term of economy," Energy, Elsevier, vol. 221(C).
    16. Simeoni, Patrizia & Ciotti, Gellio & Cottes, Mattia & Meneghetti, Antonella, 2019. "Integrating industrial waste heat recovery into sustainable smart energy systems," Energy, Elsevier, vol. 175(C), pages 941-951.
    17. Liu, Zhikai & Zhang, Huan & Wang, Yaran & Fan, Xianwang & You, Shijun & Jiang, Yan & Gao, Xinlei, 2023. "Optimization of hydraulic distribution using loop adjustment method in meshed district heating system with multiple heat sources," Energy, Elsevier, vol. 284(C).
    18. Narula, Kapil & de Oliveira Filho, Fleury & Villasmil, Willy & Patel, Martin K., 2020. "Simulation method for assessing hourly energy flows in district heating system with seasonal thermal energy storage," Renewable Energy, Elsevier, vol. 151(C), pages 1250-1268.
    19. Bogdanovics, Raimonds & Zemitis, Jurgis & Zajacs, Aleksandrs & Borodinecs, Anatolijs, 2024. "Small-scale district heating system as heat storage for decentralized solar thermal collectors during non-heating period," Energy, Elsevier, vol. 298(C).
    20. Abokersh, Mohamed Hany & Gangwar, Sachin & Spiekman, Marleen & Vallès, Manel & Jiménez, Laureano & Boer, Dieter, 2021. "Sustainability insights on emerging solar district heating technologies to boost the nearly zero energy building concept," Renewable Energy, Elsevier, vol. 180(C), pages 893-913.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:284:y:2023:i:c:s0360544223026282. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.