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Optimal planning of heat supply systems in urban areas

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  • Stennikov, Valery A.
  • Iakimetc, Ekaterina E.

Abstract

The need to solve problems of planning and justification of the rational level of centralization and concentration of sources' heat capacity was noted in the law “About a Heat Supply”. For the solution of these tasks, the complex methodology was developed; it allows us to define locations of heat sources and the border of their action at the predesign level of heat supply schemes' development of settlements. In presented complex methodology, standard values of heat load density per unit of the area (heat load density) and per unit of the pipelines' length (linear heat density) are criteria of scales restriction of the systems. The important task is to find their standard values. Authors offer dependences for determination of standard values of heat density indicators for carrying out a predesign analysis of heat supply systems. The analysis carried out showed that heat supply from chosen heat source of part of consumers isn't economically feasible if values of heat density indicators are less than their standard values. The less value of heat density in the system, the higher specific costs for generation, distribution and transmission of heat energy.

Suggested Citation

  • Stennikov, Valery A. & Iakimetc, Ekaterina E., 2016. "Optimal planning of heat supply systems in urban areas," Energy, Elsevier, vol. 110(C), pages 157-165.
    • Handle: RePEc:eee:energy:v:110:y:2016:i:c:p:157-165
    DOI: 10.1016/j.energy.2016.02.060
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    Cited by:

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    5. Stennikov, Valery A. & Barakhtenko, Evgeny A. & Sokolov, Dmitry V., 2019. "A methodological approach to the determination of optimal parameters of district heating systems with several heat sources," Energy, Elsevier, vol. 185(C), pages 350-360.
    6. Ben Amer-Allam, Sara & Münster, Marie & Petrović, Stefan, 2017. "Scenarios for sustainable heat supply and heat savings in municipalities - The case of Helsingør, Denmark," Energy, Elsevier, vol. 137(C), pages 1252-1263.
    7. Shan, Xiaofang & Wang, Peng & Lu, Weizhen, 2017. "The reliability and availability evaluation of repairable district heating networks under changeable external conditions," Applied Energy, Elsevier, vol. 203(C), pages 686-695.
    8. Verschelde, Tars & D'haeseleer, William, 2021. "Methodology for a global sensitivity analysis with machine learning on an energy system planning model in the context of thermal networks," Energy, Elsevier, vol. 232(C).
    9. Lund, Henrik & Duic, Neven & Østergaard, Poul Alberg & Mathiesen, Brian Vad, 2018. "Future district heating systems and technologies: On the role of smart energy systems and 4th generation district heating," Energy, Elsevier, vol. 165(PA), pages 614-619.

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