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A Multi-Scenario Urban Building Energy Modeling Workflow Validated Against Real Monitored Energy Data.

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Title: A Multi-Scenario Urban Building Energy Modeling Workflow Validated Against Real Monitored Energy Data.
Authors: Eslamieh, Sara1 (AUTHOR), Ferrando, Martina1 (AUTHOR) martina.ferrando@polimi.it, Denarie, Alice1 (AUTHOR)
Source: Energies (19961073). Aug2026, Vol. 19 Issue 16, p3869. 19p.
Subject Terms: *Model validation, *Geospatial data, *Heating from central stations, *Energy consumption, *Sensitivity analysis
Geographic Terms: Italy
Abstract: Urban Building Energy Modeling (UBEM) offers a scalable, physics-based method to simulate energy demand at the district level, enabling data-driven district energy demand planning and optimization. However, translating UBEM into a reliable, openly replicable workflow remains a significant methodological gap. In particular, limited attention has been devoted to the development of transparent and transferable UBEM workflows capable of systematically quantifying the impact of modeling assumptions on district-scale thermal demand accuracy. This paper presents and validates a five-step UBEM pipeline integrating freely available geospatial data from OpenStreetMap (OSM), archetype-based building characterization, multi-scenario EnergyPlus simulation via the Urban Modeling Interface (UMI) within a structured validation framework. To improve interpretability and reproducibility, a dedicated three-scenario simulation protocol was developed to isolate and quantify the influence of geometry simplifications, archetype assumptions, and weather data fidelity on model accuracy. The workflow is demonstrated through application to a real district heating system (DHS) in northern Italy, encompassing UBEM results validated against monitored consumption data at different temporal resolutions. The refined model achieves a district-scale annual magnitude error of 1.30% between real and simulated data. Persistent limitations in domestic hot water representation and peak load estimation are identified as priorities for future development. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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DbLabel: Energy & Power Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A Multi-Scenario Urban Building Energy Modeling Workflow Validated Against Real Monitored Energy Data.
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  Data: <searchLink fieldCode="AR" term="%22Eslamieh%2C+Sara%22">Eslamieh, Sara</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ferrando%2C+Martina%22">Ferrando, Martina</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> martina.ferrando@polimi.it</i><br /><searchLink fieldCode="AR" term="%22Denarie%2C+Alice%22">Denarie, Alice</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Aug2026, Vol. 19 Issue 16, p3869. 19p.
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  Data: *<searchLink fieldCode="DE" term="%22Model+validation%22">Model validation</searchLink><br />*<searchLink fieldCode="DE" term="%22Geospatial+data%22">Geospatial data</searchLink><br />*<searchLink fieldCode="DE" term="%22Heating+from+central+stations%22">Heating from central stations</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br />*<searchLink fieldCode="DE" term="%22Sensitivity+analysis%22">Sensitivity analysis</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Italy%22">Italy</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Urban Building Energy Modeling (UBEM) offers a scalable, physics-based method to simulate energy demand at the district level, enabling data-driven district energy demand planning and optimization. However, translating UBEM into a reliable, openly replicable workflow remains a significant methodological gap. In particular, limited attention has been devoted to the development of transparent and transferable UBEM workflows capable of systematically quantifying the impact of modeling assumptions on district-scale thermal demand accuracy. This paper presents and validates a five-step UBEM pipeline integrating freely available geospatial data from OpenStreetMap (OSM), archetype-based building characterization, multi-scenario EnergyPlus simulation via the Urban Modeling Interface (UMI) within a structured validation framework. To improve interpretability and reproducibility, a dedicated three-scenario simulation protocol was developed to isolate and quantify the influence of geometry simplifications, archetype assumptions, and weather data fidelity on model accuracy. The workflow is demonstrated through application to a real district heating system (DHS) in northern Italy, encompassing UBEM results validated against monitored consumption data at different temporal resolutions. The refined model achieves a district-scale annual magnitude error of 1.30% between real and simulated data. Persistent limitations in domestic hot water representation and peak load estimation are identified as priorities for future development. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=196655296
RecordInfo BibRecord:
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        Value: 10.3390/en19163869
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 3869
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      – SubjectFull: Model validation
        Type: general
      – SubjectFull: Geospatial data
        Type: general
      – SubjectFull: Heating from central stations
        Type: general
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Sensitivity analysis
        Type: general
      – SubjectFull: Italy
        Type: general
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      – TitleFull: A Multi-Scenario Urban Building Energy Modeling Workflow Validated Against Real Monitored Energy Data.
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            – D: 15
              M: 08
              Text: Aug2026
              Type: published
              Y: 2026
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