Determination of efficiency and reliability criteria for the actual district heating system and proposals for the development of a distributed heating supply area based on prosumer

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The paper presents the main results of practical application of the developed methodology for efficient expansion of district heating systems. The methodology at issue involves determining the efficiency areas of district heating, assessing technically and economically the implementation of distributed heating sources of prosumers at the boundaries of effective heat supply radius; analyzing and ensuring the reliability of heating to consumers in the district-distributed area of the system.

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Sobre autores

V. Stennikov

Energy Systems Institute SB RAS

Autor responsável pela correspondência
Email: sva@isem.irk.ru
Rússia, Irkutsk

I. Postnikov

Energy Systems Institute SB RAS

Email: postnikov@isem.irk.ru
Rússia, Irkutsk

E. Mednikova

Energy Systems Institute SB RAS

Email: isem348@mail.ru
Rússia, Irkutsk

Bibliografia

  1. СНиП 23-01-99 “Строительная климатология”. М.: Государственный комитет Российской Федерации по строительству и жилищно-коммунальному комплексу, 2000.
  2. Приказ Минэнерго России № 565, Минрегиона России № 667 от 29.12.2012 “Об утверждении методических рекомендаций по разработке схем теплоснабжения”.
  3. Stennikov V., Iakimetc E. Optimal planning of heat supply systems in urban areas. Energy, 2016, Vol. 110, P. 157–165.
  4. Stennikov V., Mednikova E., Postnikov I., Penkovskii A. Optimization of the effective heat supply radius for the district heating systems. Environmental and Climate Technologies, 2019, Vol. 23(2), P. 207–221.
  5. Стенников В.А., Медникова Е.Е., Постников И.В., Пеньковский А.В., Добровольская Т.В. Разработка методики расчета радиуса эффективного теплоснабжения. Промышленная энергетика, 2017, № 11, С. 25–32.
  6. Zinsmeister D., Licklederer T., Christange F. et al. A comparison of prosumer system configurations in district heating networks. Energy Reports, 2021, Vol. 7(4), P. 430–439.
  7. Gross M., Karbasi B., Reiners T. et al. Implementing prosumers into heating networks. Energy, 2021, Vol. 230, 120844.
  8. Postnikov I., Stennikov V., Penkovskii A. Prosumer in the district heating systems: Operating and reliability modeling. Energy Procedia, 2018, Vol. 10, P. 2530–2535.
  9. Penkovskii A., Stennikov V., Kravets A. Bi-level modeling of district heating systems with prosumers. Energy Reports, 2020, Vol. 6(2), P. 89–95.
  10. Соколов В.Я. Теплофикация и тепловые сети. М.: Издательство МЭИ, 1999.
  11. Сеннова Е.В., Смирнов А.В., Ионин А.А. и др. Надежность систем теплоснабжения. Новосибирск: Наука, 2000.
  12. Антонов Г.Н., Зоркальцев В.И., Криворуций Л.Д. и др. Справочник по общим моделям анализа и синтеза надежности систем энергетики (под ред. Руденко Ю.Н.). М.: Энергоатомиздат, 1994.
  13. Postnikov I., Stennikov V., Mednikova E., Penkovskii A. Methodology for optimization of component reliability of heat supply systems. Applied Energy, 2018, Vol. 227, P. 365–374.
  14. Сеннова Е.В., Сидлер В.Г. Математическое моделирование и оптимизация развивающихся теплоснабжающих систем. Новосибирск: Наука, 1987.

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2. Fig. 1. The investigated TSS on the terrain map (approximate configuration).

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3. Fig. 2. Calculation scheme of the studied heating system with solutions according to RET (for nodes located outside the radius, the cost of thermal energy is indicated, RUB/Gcal).

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4. Fig. 3. Results of the evaluation of the boundaries of the RET for the system under study.

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5. Fig. 4. Results of the assessment of the boundaries of the RET for the prosumer system: (a) shift of the boundaries of the RET within the selected sector of distributed heat supply; (b) distribution of the nodal cost of TE.

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6. Fig. 5. For reliability analysis: (a) basic flow chart of the prosumer's IT (boiler room); (b) aggregated diagram of the network connected to the prosumer (branch B1 in Fig. 2); (c) state graph of the local heat supply system connected to the prosumer's distributed source.

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7. Fig. 6. Results of the reliability analysis of the studied prosumer system.

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8. Fig. 7. Distribution of economic effect across nodes of prosumer systems.

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