Spatial Heat Load Density Analysis for Assessing 4th Generation District Heating Potential in Extreme Cold Climate Cities: A Case Study of Ulaanbaatar, Mongolia.

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Title: Spatial Heat Load Density Analysis for Assessing 4th Generation District Heating Potential in Extreme Cold Climate Cities: A Case Study of Ulaanbaatar, Mongolia.
Authors: Khalzan, Tsolmon1 (AUTHOR) kh.tsolmon@must.edu.mn, Sereeter, Batmunkh1 (AUTHOR)
Source: Energies (19961073). Apr2026, Vol. 19 Issue 7, p1598. 18p.
Subject Terms: *Heating load, *Clean energy, *Cities & towns, *Heat losses, *Heating from central stations, *Geographic information systems
Geographic Terms: Ulaanbaatar (Mongolia), Mongolia
Abstract: Ulaanbaatar, the capital of Mongolia, operates one of the world's largest district heating (DH) systems in the coldest national capital (heating degree-days ~5800). Despite serving over 60% of the city's 1.6 million residents, the current 3rd generation DH system suffers from high thermal losses (~17–18%) and relies on coal-fired combined heat and power plants. Transitioning to 4th generation district heating (4GDH) with lower supply temperatures could reduce these losses while enabling future low-temperature renewable energy integration. A geographic information system (GIS)-based spatial heat load density (HLD) analysis uses operational data from the Ulaanbaatar District Heating Company, encompassing 13,500 buildings with a total connected capacity of 3924 MW. Grid-based spatial analysis was performed at two resolutions (1 km2 and 2 km2). Threshold sensitivity analysis was conducted across HLD criteria of 1–5 MW/km2. Results indicate that median HLD values exceed the European reference threshold of 3 MW/km2, with log-normal distributions confirmed by Shapiro–Wilk tests. Three candidate pilot zones were identified. A hybrid temperature strategy (65/35 °C above −25 °C; 90/60 °C below) further contextualizes the findings. These results suggest spatially favorable conditions for 4GDH development, providing a quantitative foundation for subsequent techno-economic feasibility studies. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Spatial Heat Load Density Analysis for Assessing 4th Generation District Heating Potential in Extreme Cold Climate Cities: A Case Study of Ulaanbaatar, Mongolia.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Khalzan%2C+Tsolmon%22">Khalzan, Tsolmon</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kh.tsolmon@must.edu.mn</i><br /><searchLink fieldCode="AR" term="%22Sereeter%2C+Batmunkh%22">Sereeter, Batmunkh</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Apr2026, Vol. 19 Issue 7, p1598. 18p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Heating+load%22">Heating load</searchLink><br />*<searchLink fieldCode="DE" term="%22Clean+energy%22">Clean energy</searchLink><br />*<searchLink fieldCode="DE" term="%22Cities+%26+towns%22">Cities & towns</searchLink><br />*<searchLink fieldCode="DE" term="%22Heat+losses%22">Heat losses</searchLink><br />*<searchLink fieldCode="DE" term="%22Heating+from+central+stations%22">Heating from central stations</searchLink><br />*<searchLink fieldCode="DE" term="%22Geographic+information+systems%22">Geographic information systems</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Ulaanbaatar+%28Mongolia%29%22">Ulaanbaatar (Mongolia)</searchLink><br /><searchLink fieldCode="DE" term="%22Mongolia%22">Mongolia</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Ulaanbaatar, the capital of Mongolia, operates one of the world's largest district heating (DH) systems in the coldest national capital (heating degree-days ~5800). Despite serving over 60% of the city's 1.6 million residents, the current 3rd generation DH system suffers from high thermal losses (~17–18%) and relies on coal-fired combined heat and power plants. Transitioning to 4th generation district heating (4GDH) with lower supply temperatures could reduce these losses while enabling future low-temperature renewable energy integration. A geographic information system (GIS)-based spatial heat load density (HLD) analysis uses operational data from the Ulaanbaatar District Heating Company, encompassing 13,500 buildings with a total connected capacity of 3924 MW. Grid-based spatial analysis was performed at two resolutions (1 km2 and 2 km2). Threshold sensitivity analysis was conducted across HLD criteria of 1–5 MW/km2. Results indicate that median HLD values exceed the European reference threshold of 3 MW/km2, with log-normal distributions confirmed by Shapiro–Wilk tests. Three candidate pilot zones were identified. A hybrid temperature strategy (65/35 °C above −25 °C; 90/60 °C below) further contextualizes the findings. These results suggest spatially favorable conditions for 4GDH development, providing a quantitative foundation for subsequent techno-economic feasibility studies. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/en19071598
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 1598
    Subjects:
      – SubjectFull: Heating load
        Type: general
      – SubjectFull: Clean energy
        Type: general
      – SubjectFull: Cities & towns
        Type: general
      – SubjectFull: Heat losses
        Type: general
      – SubjectFull: Heating from central stations
        Type: general
      – SubjectFull: Geographic information systems
        Type: general
      – SubjectFull: Ulaanbaatar (Mongolia)
        Type: general
      – SubjectFull: Mongolia
        Type: general
    Titles:
      – TitleFull: Spatial Heat Load Density Analysis for Assessing 4th Generation District Heating Potential in Extreme Cold Climate Cities: A Case Study of Ulaanbaatar, Mongolia.
        Type: main
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          Name:
            NameFull: Khalzan, Tsolmon
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          Name:
            NameFull: Sereeter, Batmunkh
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          Dates:
            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 19961073
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              Value: 19
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: Energies (19961073)
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