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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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    References listed on IDEAS

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    Cited by:

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    5. 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).
    6. Lund, Henrik, 2018. "Renewable heating strategies and their consequences for storage and grid infrastructures comparing a smart grid to a smart energy systems approach," Energy, Elsevier, vol. 151(C), pages 94-102.
    7. Soltero, Víctor M. & Quirosa, Gonzalo & Rodríguez, Diego & Peralta, M. Estela & Ortiz, Carlos & Chacartegui, Ricardo, 2023. "A profitability index for rural biomass district heating systems evaluation," Energy, Elsevier, vol. 282(C).
    8. Seiya Maki & Satoshi Ohnishi & Minoru Fujii & Naohiro Goto & Lu Sun, 2022. "Using waste to supply steam for industry transition: Selection of target industries through economic evaluation and statistical analysis," Journal of Industrial Ecology, Yale University, vol. 26(4), pages 1475-1486, August.
    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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