TY  - JOUR
A1  - Gorzalka, Philip
A1  - Schmiedt, Jacob Estevam
A1  - Schorn, Christian
T1  - Automated Generation of an Energy Simulation Model for an Existing Building from UAV Imagery
T2  - Buildings
N2  - 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.
KW  - Modelica
KW  - heat transfer coefficient
KW  - heat demand
KW  - building energy modelling
KW  - building energy simulation
Y1  - 2021
UR  - https://opus.bibliothek.fh-aachen.de/opus4/frontdoor/index/index/docId/10471
SN  - 2075-5309
N1  - This article belongs to the Special Issue "Application of Computer Technology in Buildings"
VL  - 11
IS  - 9
PB  - MDPI
CY  - Basel
ER  -