IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v248y2022ics0360544222005217.html
   My bibliography  Save this article

Justifying network reconstruction when switching to low temperature district heating

Author

Listed:
  • Chicherin, Stanislav
  • Starikov, Aleksander
  • Zhuikov, Andrey

Abstract

The aim of the paper is to deduce a way to make low temperature district heating (LTDH) more feasible by involving operational data. Using design data only, the total network cost compared to traditional system increases by 28.4%. New assessment gives only 18.6 million EUR of costs to modernize DH network, which provide 2.4 million EUR (12.9%) as savings. The lower total network cost is achieved when the usage of existing pipes is higher. Only one section of the research brings negative trend to differential pressure head. The reason is a higher pressure drop that derives from the fact that the Colebrook-White formulae expresses the Darcy friction factor as a function of Reynolds number and pipe relative roughness. However, it does not supersede the positive effect provided by adjusting heat demands and supply/return temperatures closer to operational values. To sum up, operational data including network and outdoor temperatures, flow rate and pressure, results into more accurate evaluation. Moreover, costs for network reconstruction are sensitive to errors, when considering the overall costs to switch to low temperature technologies. This method is fast and scalable, able to include any type of a district heating system for which basic demand data is available.

Suggested Citation

  • Chicherin, Stanislav & Starikov, Aleksander & Zhuikov, Andrey, 2022. "Justifying network reconstruction when switching to low temperature district heating," Energy, Elsevier, vol. 248(C).
    • Handle: RePEc:eee:energy:v:248:y:2022:i:c:s0360544222005217
    DOI: 10.1016/j.energy.2022.123618
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222005217
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.123618?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. Sommer, Tobias & Sulzer, Matthias & Wetter, Michael & Sotnikov, Artem & Mennel, Stefan & Stettler, Christoph, 2020. "The reservoir network: A new network topology for district heating and cooling," Energy, Elsevier, vol. 199(C).
    2. Harney, Patrick & Gartland, Donna & Murphy, Fionnuala, 2020. "Determining the optimum low-temperature district heating network design for a secondary network supplying a low-energy-use apartment block in Ireland," Energy, Elsevier, vol. 192(C).
    3. Stanislav Chicherin & Vladislav Mašatin & Andres Siirde & Anna Volkova, 2020. "Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy," Energies, MDPI, vol. 13(17), pages 1-15, September.
    4. Guelpa, Elisa, 2021. "Impact of thermal masses on the peak load in district heating systems," Energy, Elsevier, vol. 214(C).
    5. Kabalina, Natalia & Costa, Mário & Yang, Weihong & Martin, Andrew, 2018. "Impact of a reduction in heating, cooling and electricity loads on the performance of a polygeneration district heating and cooling system based on waste gasification," Energy, Elsevier, vol. 151(C), pages 594-604.
    6. Chicherin, Stanislav & Anvari-Moghaddam, Amjad, 2021. "Adjusting heat demands using the operational data of district heating systems," Energy, Elsevier, vol. 235(C).
    7. Arabkoohsar, Ahmad & Alsagri, Ali Sulaiman, 2020. "A new generation of district heating system with neighborhood-scale heat pumps and advanced pipes, a solution for future renewable-based energy systems," Energy, Elsevier, vol. 193(C).
    8. Jangsten, Maria & Lindholm, Torbjörn & Dalenbäck, Jan-Olof, 2020. "Analysis of operational data from a district cooling system and its connected buildings," Energy, Elsevier, vol. 203(C).
    9. Falay, Basak & Schweiger, Gerald & O’Donovan, Keith & Leusbrock, Ingo, 2020. "Enabling large-scale dynamic simulations and reducing model complexity of district heating and cooling systems by aggregation," Energy, Elsevier, vol. 209(C).
    10. Ziemele, Jelena & Talcis, Normunds & Osis, Ugis & Dace, Elina, 2021. "A methodology for selecting a sustainable development strategy for connecting low heat density consumers to a district heating system by cascading of heat carriers," Energy, Elsevier, vol. 230(C).
    11. Lund, Henrik & Østergaard, Poul Alberg & Chang, Miguel & Werner, Sven & Svendsen, Svend & Sorknæs, Peter & Thorsen, Jan Eric & Hvelplund, Frede & Mortensen, Bent Ole Gram & Mathiesen, Brian Vad & Boje, 2018. "The status of 4th generation district heating: Research and results," Energy, Elsevier, vol. 164(C), pages 147-159.
    12. Ivanko, Dmytro & Sørensen, Åse Lekang & Nord, Natasa, 2021. "Splitting measurements of the total heat demand in a hotel into domestic hot water and space heating heat use," Energy, Elsevier, vol. 219(C).
    13. Vandermeulen, Annelies & Van Oevelen, Tijs & van der Heijde, Bram & Helsen, Lieve, 2020. "A simulation-based evaluation of substation models for network flexibility characterisation in district heating networks," Energy, Elsevier, vol. 201(C).
    14. Wirtz, Marco & Kivilip, Lukas & Remmen, Peter & Müller, Dirk, 2020. "5th Generation District Heating: A novel design approach based on mathematical optimization," Applied Energy, Elsevier, vol. 260(C).
    15. Volkova, Anna & Krupenski, Igor & Ledvanov, Aleksandr & Hlebnikov, Aleksandr & Lepiksaar, Kertu & Latõšov, Eduard & Mašatin, Vladislav, 2020. "Energy cascade connection of a low-temperature district heating network to the return line of a high-temperature district heating network," Energy, Elsevier, vol. 198(C).
    16. Patureau, Rémi & Tran, Cong Toan & Gavan, Valentin & Stabat, Pascal, 2021. "The new generation of District heating & cooling networks and their potential development in France," Energy, Elsevier, vol. 236(C).
    17. Dominković, Dominik Franjo & Stunjek, Goran & Blanco, Ignacio & Madsen, Henrik & Krajačić, Goran, 2020. "Technical, economic and environmental optimization of district heating expansion in an urban agglomeration," Energy, Elsevier, vol. 197(C).
    18. Reiners, Tobias & Gross, Michel & Altieri, Lisa & Wagner, Hermann-Josef & Bertsch, Valentin, 2021. "Heat pump efficiency in fifth generation ultra-low temperature district heating networks using a wastewater heat source," Energy, Elsevier, vol. 236(C).
    19. Østergaard, Dorte Skaarup & Svendsen, Svend, 2019. "Costs and benefits of preparing existing Danish buildings for low-temperature district heating," Energy, Elsevier, vol. 176(C), pages 718-727.
    20. Andrić, I. & Fournier, J. & Lacarrière, B. & Le Corre, O. & Ferrão, P., 2018. "The impact of global warming and building renovation measures on district heating system techno-economic parameters," Energy, Elsevier, vol. 150(C), pages 926-937.
    21. Kurek, Teresa & Bielecki, Artur & Świrski, Konrad & Wojdan, Konrad & Guzek, Michał & Białek, Jakub & Brzozowski, Rafał & Serafin, Rafał, 2021. "Heat demand forecasting algorithm for a Warsaw district heating network," Energy, Elsevier, vol. 217(C).
    22. Im, Yong-Hoon & Liu, Jie, 2018. "Feasibility study on the low temperature district heating and cooling system with bi-lateral heat trades model," Energy, Elsevier, vol. 153(C), pages 988-999.
    23. Romanov, Dmitry & Pelda, Johannes & Holler, Stefan, 2020. "Technical, economic and ecological effects of lowering temperatures in the Moscow district heating system," Energy, Elsevier, vol. 211(C).
    24. Jebamalai, Joseph Maria & Marlein, Kurt & Laverge, Jelle, 2020. "Influence of centralized and distributed thermal energy storage on district heating network design," Energy, Elsevier, vol. 202(C).
    25. Kristensen, Martin Heine & Hedegaard, Rasmus Elbæk & Petersen, Steffen, 2020. "Long-term forecasting of hourly district heating loads in urban areas using hierarchical archetype modeling," Energy, Elsevier, vol. 201(C).
    26. Braas, Hagen & Jordan, Ulrike & Best, Isabelle & Orozaliev, Janybek & Vajen, Klaus, 2020. "District heating load profiles for domestic hot water preparation with realistic simultaneity using DHWcalc and TRNSYS," Energy, Elsevier, vol. 201(C).
    27. Meesenburg, Wiebke & Ommen, Torben & Thorsen, Jan Eric & Elmegaard, Brian, 2020. "Economic feasibility of ultra-low temperature district heating systems in newly built areas supplied by renewable energy," Energy, Elsevier, vol. 191(C).
    28. Björnebo, Lars & Spatari, Sabrina & Gurian, Patrick L., 2018. "A greenhouse gas abatement framework for investment in district heating," Applied Energy, Elsevier, vol. 211(C), pages 1095-1105.
    29. Chicherin, Stanislav, 2020. "Methodology for analyzing operation data for optimum district heating (DH) system design: Ten-year data of Omsk, Russia," Energy, Elsevier, vol. 211(C).
    30. Vivian, Jacopo & Emmi, Giuseppe & Zarrella, Angelo & Jobard, Xavier & Pietruschka, Dirk & De Carli, Michele, 2018. "Evaluating the cost of heat for end users in ultra low temperature district heating networks with booster heat pumps," Energy, Elsevier, vol. 153(C), pages 788-800.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chicherin, Stanislav & Zhuikov, Andrey & Junussova, Lyazzat, 2022. "The new method for hydraulic calculations of a district heating (DH) network," Energy, Elsevier, vol. 260(C).
    2. Stanislav Chicherin & Andrey Zhuikov & Lyazzat Junussova, 2023. "District Heating for Poorly Insulated Residential Buildings—Comparing Results of Visual Study, Thermography, and Modeling," Sustainability, MDPI, vol. 15(20), pages 1-19, October.

    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. Chicherin, Stanislav & Anvari-Moghaddam, Amjad, 2021. "Adjusting heat demands using the operational data of district heating systems," Energy, Elsevier, vol. 235(C).
    2. Chicherin, Stanislav, 2020. "Methodology for analyzing operation data for optimum district heating (DH) system design: Ten-year data of Omsk, Russia," Energy, Elsevier, vol. 211(C).
    3. Nielsen, Tore Bach & Lund, Henrik & Østergaard, Poul Alberg & Duic, Neven & Mathiesen, Brian Vad, 2021. "Perspectives on energy efficiency and smart energy systems from the 5th SESAAU2019 conference," Energy, Elsevier, vol. 216(C).
    4. Chicherin, Stanislav & Zhuikov, Andrey & Junussova, Lyazzat, 2022. "The new method for hydraulic calculations of a district heating (DH) network," Energy, Elsevier, vol. 260(C).
    5. Stanislav Chicherin & Vladislav Mašatin & Andres Siirde & Anna Volkova, 2020. "Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy," Energies, MDPI, vol. 13(17), pages 1-15, September.
    6. 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.
    7. Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    8. Salah Vaisi & Saleh Mohammadi & Kyoumars Habibi, 2021. "Heat Mapping, a Method for Enhancing the Sustainability of the Smart District Heat Networks," Energies, MDPI, vol. 14(17), pages 1-17, September.
    9. Stanislav Chicherin & Andrey Zhuikov & Lyazzat Junussova, 2023. "District Heating for Poorly Insulated Residential Buildings—Comparing Results of Visual Study, Thermography, and Modeling," Sustainability, MDPI, vol. 15(20), pages 1-19, October.
    10. Lund, Henrik & Østergaard, Poul Alberg & Nielsen, Tore Bach & Werner, Sven & Thorsen, Jan Eric & Gudmundsson, Oddgeir & Arabkoohsar, Ahmad & Mathiesen, Brian Vad, 2021. "Perspectives on fourth and fifth generation district heating," Energy, Elsevier, vol. 227(C).
    11. Stanislav Chicherin & Andrey Zhuikov & Lyazzat Junussova, 2023. "Factors Affecting Indoor Temperature in the Case of District Heating," Sustainability, MDPI, vol. 15(21), pages 1-16, November.
    12. Zhu, Tingting & Ommen, Torben & Meesenburg, Wiebke & Thorsen, Jan Eric & Elmegaard, Brian, 2021. "Steady state behavior of a booster heat pump for hot water supply in ultra-low temperature district heating network," Energy, Elsevier, vol. 237(C).
    13. Brunt, Nicholas & Duquette, Jean & O'Brien, William, 2023. "Techno-economic and environmental performance of two state-of-the-art solar-assisted district energy system topologies," Energy, Elsevier, vol. 276(C).
    14. Guelpa, E. & Capone, M. & Sciacovelli, A. & Vasset, N. & Baviere, R. & Verda, V., 2023. "Reduction of supply temperature in existing district heating: A review of strategies and implementations," Energy, Elsevier, vol. 262(PB).
    15. Calise, Francesco & Cappiello, Francesco Liberato & Cimmino, Luca & Dentice d’Accadia, Massimo & Vicidomini, Maria, 2023. "A comparative thermoeconomic analysis of fourth generation and fifth generation district heating and cooling networks," Energy, Elsevier, vol. 284(C).
    16. 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).
    17. Barco-Burgos, J. & Bruno, J.C. & Eicker, U. & Saldaña-Robles, A.L. & Alcántar-Camarena, V., 2022. "Review on the integration of high-temperature heat pumps in district heating and cooling networks," Energy, Elsevier, vol. 239(PE).
    18. Dorotić, Hrvoje & Pukšec, Tomislav & Schneider, Daniel Rolph & Duić, Neven, 2021. "Evaluation of district heating with regard to individual systems – Importance of carbon and cost allocation in cogeneration units," Energy, Elsevier, vol. 221(C).
    19. Quirosa, Gonzalo & Torres, Miguel & Becerra, José A. & Jiménez-Espadafor, Francisco J. & Chacartegui, Ricardo, 2023. "Energy analysis of an ultra-low temperature district heating and cooling system with coaxial borehole heat exchangers," Energy, Elsevier, vol. 278(PA).
    20. Wirtz, Marco, 2023. "nPro: A web-based planning tool for designing district energy systems and thermal networks," Energy, Elsevier, vol. 268(C).

    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:248:y:2022:i:c:s0360544222005217. 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.