TY  - CHAP
A1  - Janotte, N.
A1  - Feckler, G.
A1  - Kötter, Jens
A1  - Decker, Stefan
A1  - Herrmann, Ulf
A1  - Schmitz, Mark
A1  - Lüpfert, E.
T1  - Dynamic performance evaluation of the HelioTrough® collector demonstration loop : towards a new benchmark in parabolic trough qualification
T2  - SolarPACES International Conference 2013, Las Vegas, Nevada, USA, 17 - 20 September 2013 : [proceedings]. - Pt. 1. - (Energy procedia ; 49)
Y1  - 2014
SN  - 978-1-63266-904-9
U6  - https://doi.org/10.1016/j.egypro.2014.03.012
SN  - 1876-6102
N1  - Nebent.: Power and Chemical Energy Systems concentrating solar power
SP  - 109
EP  - 117
PB  - Curran
CY  - Red Hook, NY
ER  - 
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
JF  - 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
U6  - https://doi.org/10.3390/buildings11090380
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  -