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Creating Quantitative Regulation Principles of the Heating Networks’ Parameters Based on the Life Cycle Analysis

https://doi.org/10.23947/2949-1835-2023-2-2-29-35

Abstract

Materials and Methods. The elaboration of the heating networks should be carried out in compliance with the currently enacted Code of Practices “Information modeling in construction. Rules for the objects’ information model creation at different stages of the life cycle». The life cycle can be divided into four stages. It is noted that each type of digital information model at each stage of the life cycle correlates with the certain level of elaboration, which envisages the minimum of geometric, spatial, quantitative and attributive data necessary to solve the task of information modeling at a specific stage of the object's life cycle.
Results. 4th generation heating supply technologies allow reducing the temperature of the heat-carrying agent, hereby creating conditions for commencing the heating networks’ transit to the low temperature type of systems. As a result, reducing the heat carrying agent’s temperature, allows using more flexible polymer materials for the pipelines. In addition, application of the comprehensive approach to the heating networks innovative development is the important prerequisite for further development of the district heating infrastructure and technologies.
Discussion and Conclusions. The main focus for improving the heating sector development should lie in the elaboration and implementation of the new technologies and digital information models, which will improve the quality of thermal energy generation, transportation and distribution.

About the Authors

A. L. Tikhomirov
Don State Technical University
Russian Federation

Aleksej L Tikhomirov, associate professor of the Environmental Engineering Department, Cand. Sc. (Engineering), assoc. prof.

1, Gagarin Sq., Rostov-on-Don, 344003



A. P. Pirozhnikova
Don State Technical University
Russian Federation

Anastasia P Pirozhnikova, senior lecturer of the Environmental Engineering Department

1, Gagarin Sq., Rostov-on-Don, 344003



References

1. Lund H, Werner S, Wiltshire R, Svendsen S, et al. 4th Generation District Heating (4GDH): Integrating smart thermal grids into future sustainable energy systems. Energy. 2014;68:1–11. https://doi.org/10.1016/j.energy.2014.02.089

2. Lund H, Ostergaard PA, Nielsen TB, et al. Perspectives on fourth and fifth generation district heating. Energy. 2021;227. https://doi.org/10.1016/j.energy.2021.12052

3. Petrova IY, Muzafarov RR. Centralized Heat Supply Systems for Smart Cities. Engineering and Construction Bulletin of the Caspian Region: Scientific Journal. 2021;4(38):90–95. (In Russ.).

4. Pasichko SI, Khaleckaya EA, Kolienko AG. Sistemy teplosnabzheniya. Vybor optimal'nykh napravlenij razvitiya. Novosti teplosnabzheniya. 2002;8(24). URL: http://www.ntsn.ru/8_2002.html (In Russ.).

5. Kislov DK, Ryabenko MS, Rafal'skaya TA. System Engineering Of The Intellectual Heat Supply On The Basis Of Information Network Zulu. Energy saving and water treatment. 2018;2(112):55–59. (In Russ.).

6. Shishkin AV, Meshalova PV, Zenin SA, et al. Development of a Digital Twin of the Heating Network in Various Software Systems. Safety and Reliability of Power Industry. 2022;15(3):166–174. https://doi.org/10.24223/1999-55552022-15-3-166-174 (In Russ.).

7. Zheng X, Sun Q, Wang Y, et al. Thermo-hydraulic coupled simulation and analysis of a real large-scale complex district heating network in Tianjin. Energy. 2021;236. https://doi.org/10.1016/j.energy.2021.121389

8. Zheng J, Zhou Z, Zhao J, Wang J. Function method for dynamic temperature simulation of district heating network. Applied Thermal Engineering. 2017;123:682–688. https://doi.org/10.1016/j.applthermaleng.2017.05.083

9. Falay B, Schweiger G, O'Donovan K, Leusbrock I. Enabling large-scale dynamic simulations and reducing model complexity of district heating and cooling systems by aggregation. Energy. 2020;209. https://doi.org/10.1016/j.energy.2020.118410

10. Barone G, Buonomano A, Forzano C, Palombo A. A novel dynamic simulation model for the thermo-economic analysis and optimisation of district heating systems. Energy Conversion and Management. 2020;220. https://doi.org/10.1016/j.enconman.2020.113052

11. Larsen HV, Palsson H, Bohm B, Ravn HF. Aggregated dynamic simulation model of district heating networks. Energy Conversion and Management. 2002;43(8):995–1019. https://doi.org/10.1016/S0196-8904(01)00093-0

12. Hussein A, Klein A. Modelling and validation of district heating networks using an urban simulation platform. Applied Thermal Engineering. 2021;187. https://doi.org/10.1016/j.applthermaleng.2020.116529

13. Badami M, Fonti A, Carpignano A, Grosso D. Design of district heating networks through an integrated thermofluid dynamics and reliability modelling approach. Energy. 2018;144:826–838. https://doi.org/10.1016/j.energy.2017.12.071

14. Schweiger G, Larsson PO, Magnusson F, et al. District heating and cooling systems — Framework for Modelicabased simulation and dynamic optimization. Energy. 2017;137:566–578 https://doi.org/10.1016/j.energy.2017.05.115

15. Tihomirov AL, Anan'ev NA. Verification of the Electronic Model of the Thermal Network by “Equivalent Absolute Roughness”. Engineering Journal of Don. 2020;3. URL: http://www.ivdon.ru/ru/magazine/archive/N3y2020/6358 (In Russ.).

16. Sharapov VI, Rotov PV. Regulirovanie nagruzki sistem teplosnabzheniya. Moscow: Novosti teplosnabzheniya; 2007. 164 p. (In Russ.).


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Tikhomirov A.L., Pirozhnikova A.P. Creating Quantitative Regulation Principles of the Heating Networks’ Parameters Based on the Life Cycle Analysis. Modern Trends in Construction, Urban and Territorial Planning. 2023;2(2):29-35. (In Russ.) https://doi.org/10.23947/2949-1835-2023-2-2-29-35

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