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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Дәйексөз келтіру

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Аннотация

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.

Толық мәтін

Рұқсат жабық

Авторлар туралы

V. Stennikov

Energy Systems Institute SB RAS

Хат алмасуға жауапты Автор.
Email: sva@isem.irk.ru
Ресей, Irkutsk

I. Postnikov

Energy Systems Institute SB RAS

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

E. Mednikova

Energy Systems Institute SB RAS

Email: isem348@mail.ru
Ресей, Irkutsk

Әдебиет тізімі

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Қосымша файлдар

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Әрекет
1. JATS XML
Жүктеу
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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