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Calculating urban heat demands: An analysis of two modelling approaches and remote sensing for input data and validation.

Dochev, Ivan and Gorzalka, Philip and Weiler, Verena and Schmiedt, Jacob and Linkiewicz, Magdalena Monika and Eicker, Ursula and Hoffschmidt, Bernhard and Peters, Irene and Schröter, Bastian (2020) Calculating urban heat demands: An analysis of two modelling approaches and remote sensing for input data and validation. Energy and Buildings, 226 (110378). Elsevier. doi: 10.1016/j.enbuild.2020.110378. ISSN 0378-7788.

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Official URL: https://www.sciencedirect.com/science/article/abs/pii/S0378778820308896


Building stocks account for a large share of energy consumption and harbour great potential for reducing greenhouse gas emissions. The field of urban building energy modelling (UBEM) offers a range of approaches to inform climate protection policies, producing output of different granularity and quality. We compare two typology-based (archetype) approaches to urban heat demand calculation in a mixed-use area in Berlin, Germany. The goal is to show challenges and pitfalls and how remote sensing can improve the modelling. The first approach uses 2D cadastral data and specific heat demand values from a typology. For the second approach, we derive a 3D building model from aerial imagery, use parameters from the same typology, and calculate the heat balance for each building. We compare the differences in several geometric parameters, U-values and the heat demand. Additionally, we analyse if window detection on aerial image textures and surface temperatures from aerial infrared thermography can improve the estimated window-wall ratios and U-values. The two heat demand approaches lead to different results for individual buildings. Averaging effects reduce the differences at an aggregated level. Remote sensing can be used to improve some geometric parameters needed for modelling, but still requires additional research regarding U-value estimation.

Item URL in elib:https://elib.dlr.de/141734/
Document Type:Article
Title:Calculating urban heat demands: An analysis of two modelling approaches and remote sensing for input data and validation.
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Dochev, Ivanmailto:ivan.dochev (at) hcu-hamburg.deUNSPECIFIED
Gorzalka, PhilipPhilip.Gorzalka (at) dlr.dehttps://orcid.org/0000-0002-1274-0378
Weiler, Verenamailto:verena.weiler (at) hft-stuttgart.deUNSPECIFIED
Schmiedt, JacobJacob.EstevamSchmiedt (at) dlr.dehttps://orcid.org/0000-0002-0794-6769
Linkiewicz, Magdalena MonikaMagdalena.Linkiewicz (at) dlr.deUNSPECIFIED
Eicker, UrsulaConcordia UniversityUNSPECIFIED
Hoffschmidt, BernhardBernhard.Hoffschmidt (at) dlr.deUNSPECIFIED
Peters, IreneHafenCity University HamburgUNSPECIFIED
Schröter, BastianHochschule für Technik StuttgartUNSPECIFIED
Date:1 November 2020
Journal or Publication Title:Energy and Buildings
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1016/j.enbuild.2020.110378
Series Name:Elsevier Science Direct
Keywords:heat demand estimation, thermal mapping, semantic 3D city models
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Optical Technologies and Applications
Location: Köln-Porz
Institutes and Institutions:Institute of Optical Sensor Systems
Institute of Solar Research > Qualification
Institute for the Protection of Terrestrial Infrastructures
Deposited By: Linkiewicz, Magdalena Monika
Deposited On:14 Apr 2021 08:58
Last Modified:10 Mar 2022 10:46

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