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Applied Problems and Methodological Approaches to Planning and Implementation of Operating Conditions at District Heating Systems

  • DISTRICT HEATING COGENERATION AND HEAT NETWORKS
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Abstract

Problems in planning and implementation of the operating conditions for district heating systems (DHSs) are directly related to the controllability and permissibility of the conditions and the reliability, quality, and efficiency of the heat supply systems’ operation under various operating conditions. The operating conditions’ development should be aimed at minimizing operating costs related to implementing the operational modes taking into account the entire set of technical and technological restrictions. The decisive factor in implementing competent adjustment and planning DHS operating conditions is the performance of preliminary calculations directly by the operators. In this case, the condition-development engineer receives a computer model of the operating DHS at his disposal that allows justifying and conducting constant correction of the thermo-hydraulic conditions during the entire heating season under changing operational conditions. For example, when connecting new consumers, varying loads, and under forced changeovers caused by emergencies, they can calculate the postemergency modes and correct the control values when the operating variables exceed the permissible values. At the Institute for Energy Systems (Siberian Branch, Russian Academy of Sciences), a system of mathematical models and methods has been developed for calculating and analyzing the thermo-hydraulic conditions at DHSs. This system was implemented in the Angara-TS information–software package (ISP). The ISP an is integration of models, methods, and software with information technologies intended for automation of workplaces for condition-development engineers. Technology for developing operating conditions for large-scale DHSs that satisfy all technical restrictions, including the required heat supply level, is presented. The technology based on multilevel modeling has been verified when implementing the operating conditions of real DHSs in Irkutsk, Angarsk, Bratsk, Baykalsk, Petropavlovsk-Kamchatsky, and other cities. This article deals with the development of the operating conditions for the DHS of Cheremkhovo, a town in Irkutsk oblast, to supply heat power from a combined heat and power plant according to a new temperature schedule. Practical application of the technology developed for planning the real DHS operating conditions has revealed its great potential for energy saving and has significantly improved the quality of the heat supply. The operating conditions and adjustment measures developed using the Angara-TS information–software package allowed for a significant reduction in the circulating heating-medium flow rates, the consumption rate of the make-up water, the water drain by consumers, the energy consumed for transfer of the heating medium, and the cost of chemical water preparation and has ensured the required level of heat supply.

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Notes

  1. Federal Law On Heat Supply dated July 27, 2010, decree no. 190-FZ.

  2. Federal Law On Introduction of Amendments to the Federal Law “On Heat Supply” dated December 1, 2014, decree no. 404-FZ.

  3. Federal Law of the Russian Federation On Energy Conservation and Improvement of the Energy Efficiency and Introduction of Amendments to Some Legislative Acts of the Russian Federation dated November 23, 2009, decree no. 261-FZ.

  4. Energy Strategy of Russia for the Period up to 2030 dated November 13, 2009, decree no. 1715-r.

  5. An elevator is a typical component of a building’s heat supply unit intended for reducing the temperature in the feed pipeline of a local heating system by admixing water from the return pipeline.

REFERENCES

  1. Pipeline Systems of Power Engineering. Mathematical and Computer Technologies of Intellectualization (Nauka, Novosibirsk, 2017) [in Russian].

  2. H. Lund, S. Werner, R. Wiltshire, S. Svendsen, J. E. Thorsen, F. Hvelplund, and B. V. Mathiesen, “4th Generation District Heating (4GDH): Integrating smart thermal grids into future sustainable energy systems,” Energy 68, 1–11 (2014). https://doi.org/10.1016/j.energy.2014.02.089

    Article  Google Scholar 

  3. M. Vesterlund and J. Dahl, “A method for the simulation and optimization of district heating systems with meshed networks,” Energy Convers. Manage. 89, 555–567 (2015). https://doi.org/10.1016/j.enconman.2014.10.002

    Article  Google Scholar 

  4. E. Guelpa, C. Toro, A. Sciacovelli, R. Melli, E. Sciubba, and V. Verda, “Optimal operation of large district heating networks through fast fluiddynamic simulation,” Energy 102, 586–595 (2016). https://doi.org/10.1016/j.energy.2016.02.058

    Article  Google Scholar 

  5. M. Vesterlund, A. Toffolo, and J. Dahl, “Optimization of multi-source complex district heating network, a case study,” Energy 126, 53–63 (2017). https://doi.org/10.1016/j.energy.2017.03.018

    Article  Google Scholar 

  6. E. Guelpa, A. Sciacovelli, and V. Verda, “Thermo-fluid dynamic model of large district heating networks for the analysis of primary energy savings,” Energy (2017). https://doi.org/10.1016/j.energy.2017.07.177

    Article  Google Scholar 

  7. Y. Wang, S. You, H. Zhang, W. Zheng, X. Zheng, and Q. Miao, “Hydraulic performance optimization of meshed district heating network with multiple heat sources,” Energy 126, 603–621 (2017). https://doi.org/10.1016/j.energy.2017.03.044

    Article  Google Scholar 

  8. I. Gabrielaitiene, B. Bøhm, and B. Sunden, “Modelling temperature dynamics of a district heating system in Naestved, Denmark – A case study,” Energy Convers. Manage. 48, 78–86 (2007). https://doi.org/10.1016/j.enconman.2006.05.011

    Article  Google Scholar 

  9. A. Bischi, L. Taccari, E. Martelli, E. Amaldi, G. Manzolini, P. Silva, S. Campanari, and E. Macchi, “A detailed MILP optimization model for combined cooling, heat and power system operation planning,” Energy 74, 12–26 (2014). https://doi.org/10.1016/j.energy.2014.02.042

    Article  Google Scholar 

  10. A. P. Merenkov and V. Ya. Khasilev, Theory of Hydraulic Circuits (Nauka, Moscow, 1985) [in Russian].

    MATH  Google Scholar 

  11. Pipeline Systems of Power Engineering, Ed. by N. N. Novitskii and A. D. Tevyashev (Nauka, Novosibirsk, 2015) [in Russian].

    Google Scholar 

  12. Z. I. Shalaginova, “Methods for analyzing thermal-hydraulic operating conditions of large heat supply systems,” Therm. Eng. 56, 1016–1023 (2009).

    Article  Google Scholar 

  13. Z. I. Shalaginova, “Methods for analyzing operational controllability and their application for estimating the quality of heat supply systems,” Therm. Eng. 59, 408–413 (2012).

    Article  Google Scholar 

  14. N. N. Novitsky, A. V. Alekseev, O. A. Grebneva, A. V. Lutsenko, V. V. Tokarev, and Z. I. Shalaginova, “Multilevel modeling and optimization of large-scale pipeline systems operation,” Energy (2018). https://doi.org/10.1016/j.energy.2018.02.070

    Article  Google Scholar 

  15. V. V. Tokarev and N. N. Novitsky, “Method of adjustment of heat supply systems with the multistage temperature control at pumping stations,” MATEC Web Conf. 212, 02006 (2018). https://doi.org/10.1051/matecconf/201821202006

    Article  Google Scholar 

  16. A. V. Alekseev, O. A. Grebneva, N. N. Novitskii, V. V. Tokarev, and Z. I. Shalaginova, “Mathematical models and methods for assessing and realizing the potential of energy supply in controlling the regimes of heat supply systems,” in Studies and Developments of the Siberian Branch of Russian Academy of Sciences in the Field of Energy-Efficient Technologies (Nauch.-Issled. Inst. Molekulyarn. Biologii i Biofiziki, Novosibirsk, 2009). pp. 38–49 [in Russian].

    Google Scholar 

  17. Z. I. Shalaginova, “Mathematical model for calculation of the heat-hydraulic modes of heating points of heat-supplying systems,” Therm. Eng. 63, 222–232 (2016). https://doi.org/10.1134/S0040601516020075

    Article  Google Scholar 

  18. N. N. Novitskii, Z. I. Shalaginova, and E. A. Mikhailovskii, “Object-oriented models of elements of heat points of heat supply systems,” Vestn. Irkutsk. Gos. Tekh. Univ. 21 (9), 157–172 (2017).

  19. Z. I. Shalaginova and V. V. Tokarev, “Generalization of multi-level modeling methods for development and analysis of operating conditions of large heat supply systems,” E3S Web Conf. 39, 01003 (2018). https://doi.org/10.1051/e3sconf/20183901003

    Article  Google Scholar 

  20. Z. I. Shalaginova and V. V. Tokarev, “Problems of organization of operating conditions of large heat supply systems and their solutions based on multilevel modeling,” E3S Web Conf. 39, 03007 (2018). https://doi.org/10.1051/e3sconf/20183903007

    Article  Google Scholar 

  21. Z. I. Shalaginova, “Analysis and synthesis of regime controllability of heat supply systems,” in Proc. MATEC Web Conf. 212, 02007 (2018). https://doi.org/10.1051/matecconf/201821202001

    Article  Google Scholar 

  22. Z. I. Shalaginova, “Objectives and methods of calculating the temperature schedules for heat supply on the basis of thermo-hydraulic simulation of heat supply systems,” Therm. Eng. 51, 554–562 (2004).

    Google Scholar 

  23. N. N. Novitskii and A. V. Alekseev, “Development and implementation of methods for calculating technologically acceptable hydraulic modes of pipeline systems,” in Pipeline Energy Systems. Development of the Theory and Methods of Mathematical Modeling and Optimization (Nauka, Novosibirsk, 2008), pp. 228–236 [in Russian].

    Google Scholar 

  24. N. N. Novitskii, Z. I. Shalaginova, V. V. Tokarev, and O. A. Grebneva, “The technique of development of operational modes based on methods of multilevel thermal hydraulic modeling,” Izv. Ross. Akad. Nauk Energ., No. 1, 12–24 (2018).

  25. V. V. Tokarev and Z. I. Shalaginova, “Technique of multilevel adjustment calculation of the heat-hydraulic mode of the major heat supply systems with the intermediate control stages,” Therm. Eng. 63, 68–77 (2016). https://doi.org/10.1134/S0040601516010110

    Article  Google Scholar 

  26. V. V. Tokarev, N. N. Novitskii, Z. I. Shalaginova, A. V. Alekseev, S. Yu. Barinova, and O. A. Grebneva, Computing Software Complex “Angara-TS”, Ver. 1.5, RF Computer Software Registration Certificate No. 2019610086 (2019). http://www1.fips.ru/fips_ servl/fips_servlet?DB=EVM&rn=1476&DocNumber= 2019610086&TypeFile=htm.

  27. N. N. Novitskii, V. V. Tokarev, Z. I. Shalaginova, A. V. Alekseev, O. A. Grebneva, and S. Yu. Barinova, “Information and computing complex “Angara-TS” for the calculation and analysis of operating conditions when managing large multi-circuit heating systems,” Vestn. IRGTU 22 (11), 126–144 (2018).

    Google Scholar 

  28. V. V. Tokarev and Z. I. Shalaginova, “Experience of using information and computing complex "Angara-TS” for the organization of modes and development of maintenance events of heat supply systems of large cities,” Vestn. IRGTU, No. 12 (59), 240–248 (2011).

    Google Scholar 

  29. A. V. Alekseev, N. N. Novitskii, and E. S. Melekhov, “Information and computing complex for the automation of the dispatching control of water supply and water disposal systems,” Vestn. IRGTU, No. 6 (89), 12–18 (2014).

    Google Scholar 

  30. N. N. Novitsky, V. V. Tokarev, Z. I. Shalaginova, and A. V. Alekseev, “Experience in developing and using software packages for calculation and organization of large-scale heat supply system operation,” in Proc. Int. Sci. Conf. on Power Industry and Market Economy, Ulaanbaatar, Mongolia, May 4–7, 2005, pp. 323–329.

  31. N. N. Novitsky, O. A. Grebneva, and V. V. Tokarev, “Investigation of active identification methods for thermo-hydraulic testing of heat networks,” Therm. Eng. 65, 453–461 (2018). https://doi.org/10.1134/S0040601518070066

    Article  Google Scholar 

  32. O. A. Grebneva and N. N. Novitsky, “Optimal planning and processing of the results of tests for hydraulic and heat losses in heat systems,” Therm. Eng. 61, 754–759 (2014). https://doi.org/10.1134/S004060151410005X

    Article  Google Scholar 

  33. A. V. Lutsenko, “Optimization of the hydraulic modes of the heat distribution networks for minimizing the pressure level and control application locations,” in Proceedings of Young Scientists of Melentiev Energy Systems Institute, Siberian Branch of the Russian Academy of Sciences, “System Studies in Power Engineering”, Vol. 46 (ISEM SO RAN, Irkutsk, 2016), pp. 28–38 [in Russian].

  34. N. N. Novitskii and A. V. Lutsenko, “Optimizing the placement of controls to ensure the admissibility of the hydraulic modes of the heat distribution networks,” in Proc. 20th All-Russia Baikal Conf. Informational and Mathematical Technologies in Science and Management (ISEM SO RAN, Irkutsk, 2015), pp. 138–144.

  35. Z. I. Shalaginova, V. V. Tokarev, and O. A. Grebneva, “Methodology of adjustment calculation of centralized hot water supply distribution networks,” Vestn. IRGTU, No. 3, 165–174 (2015).

    Google Scholar 

  36. V. V. Tokarev, “Developing a procedure for segmenting meshed heat networks of heat supply systems without outflows,” Therm. Eng. 65, 400–409 (2018). https://doi.org/10.1134/S0040601518060101

    Article  Google Scholar 

  37. Z. I. Shalaginova, “Estimating the energy saving potential from carrying out adjustment works in heat supply systems on the basis of modeling their thermal-hydraulic operating modes,” Therm. Eng. 61, 829–835 (2014). https://doi.org/10.1134/s0040601514090109

    Article  Google Scholar 

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Funding

This work was supported by the Russian Foundation for Basic Research, project no. III.17.4.3 within the framework of the program of Basic Research no. AAAA-A17-117030310437-4 of the Siberian Branch of the Russian Academy of Sciences and the Government of Irkutsk oblast within the framework of science project no. 17-48-380021.

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  1. Melent’ev Institute for Energy Systems, Siberian Branch, Russian Academy of Sciences, 664033, Irkutsk, Russia

    Z. I. Shalaginova & V. V. Tokarev

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  1. Z. I. Shalaginova
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  2. V. V. Tokarev
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Correspondence to Z. I. Shalaginova.

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Translated by O. Lotova

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Shalaginova, Z.I., Tokarev, V.V. Applied Problems and Methodological Approaches to Planning and Implementation of Operating Conditions at District Heating Systems. Therm. Eng. 66, 714–729 (2019). https://doi.org/10.1134/S0040601519100057

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