Automated Generation of an Energy Simulation Model for an Existing Building from UAV Imagery
- An approach to automatically generate a dynamic energy simulation model in Modelica for a single existing building is presented. It aims at collecting data about the status quo in the preparation of energy retrofits with low effort and costs. The proposed method starts from a polygon model of the outer building envelope obtained from photogrammetrically generated point clouds. The open-source tools TEASER and AixLib are used for data enrichment and model generation. A case study was conducted on a single-family house. The resulting model can accurately reproduce the internal air temperatures during synthetical heating up and cooling down. Modelled and measured whole building heat transfer coefficients (HTC) agree within a 12% range. A sensitivity analysis emphasises the importance of accurate window characterisations and justifies the use of a very simplified interior geometry. Uncertainties arising from the use of archetype U-values are estimated by comparing different typologies, with best- and worst-case estimates showing differences in pre-retrofit heat demand of about ±20% to the average; however, as the assumptions made are permitted by some national standards, the method is already close to practical applicability and opens up a path to quickly estimate possible financial and energy savings after refurbishment.
Author: | Philip GorzalkaORCiD, Jacob Estevam SchmiedtORCiD, Christian Schorn |
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DOI: | https://doi.org/10.3390/buildings11090380 |
ISSN: | 2075-5309 |
Parent Title (English): | Buildings |
Publisher: | MDPI |
Place of publication: | Basel |
Document Type: | Article |
Language: | English |
Year of Completion: | 2021 |
Date of first Publication: | 2021/08/26 |
Tag: | Modelica; building energy modelling; building energy simulation; heat demand; heat transfer coefficient |
Volume: | 11 |
Issue: | 9 |
Length: | 15 Seiten |
Note: | This article belongs to the Special Issue "Application of Computer Technology in Buildings" |
Link: | https://doi.org/10.3390/buildings11090380 |
Zugriffsart: | weltweit |
Institutes: | FH Aachen / Solar-Institut Jülich |
open_access (DINI-Set): | open_access |
collections: | Verlag / MDPI |
Open Access / Gold | |
Licence (German): | Creative Commons - Namensnennung |