TY - JOUR
T1 - Automated energy performance certificate based urban building energy modelling approach for predicting heat load profiles of districts
AU - Heidenthaler, D.
AU - Deng, Y.
AU - Leeb, M.
AU - Grobbauer, M.
AU - Kranzl, L.
AU - Seiwald, L.
AU - Mascherbauer, P.
AU - Reindl, P.
AU - Bednar, T.
N1 - Cited By :3
Export Date: 14 December 2023
CODEN: ENEYD
Correspondence Address: Heidenthaler, D.; Salzburg University of Applied Sciences, Campus Kuchl, Markt 136a, Austria; email: [email protected]
Funding details: European Regional Development Fund, ERDF
Funding text 1: This research was supported by the federal state of Salzburg and the European Regional Development Fund ( EFRE ) under the grant Investments in Growth and Employment Austria 2014–2020 .
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PY - 2023/9/1
Y1 - 2023/9/1
N2 - Urban building energy modelling (UBEM) for analysing buildings in their spatial and functional context is an arising method. Only a few UBEM procedures use detailed building simulation tools, which are essential for high temporal and spatial resolution. This paper aims at developing a detailed automated physical bottom-up UBEM framework based on archetypes using Energy Performance Certificate data for predicting hourly heat load profiles of residential buildings. Simulation results are compared to and validated with measurements of two district heating networks and values from the TABULA typology. A comparison of the simulated hourly heat load profile for space heating and domestic hot water with measurement data results in a CV(RMSE) of 0.3, NMBE of 0.085, R2 of 0.85 and r of 0.94 for a sample size of 66 residential buildings, solely based on an estimation of the 3 classification criteria of the archetypes (building period, building condition and building type) and an estimation of the conditioned gross floor area for each measured building. Hence, the model can be declared as calibrated according to acceptance criteria in literature.
AB - Urban building energy modelling (UBEM) for analysing buildings in their spatial and functional context is an arising method. Only a few UBEM procedures use detailed building simulation tools, which are essential for high temporal and spatial resolution. This paper aims at developing a detailed automated physical bottom-up UBEM framework based on archetypes using Energy Performance Certificate data for predicting hourly heat load profiles of residential buildings. Simulation results are compared to and validated with measurements of two district heating networks and values from the TABULA typology. A comparison of the simulated hourly heat load profile for space heating and domestic hot water with measurement data results in a CV(RMSE) of 0.3, NMBE of 0.085, R2 of 0.85 and r of 0.94 for a sample size of 66 residential buildings, solely based on an estimation of the 3 classification criteria of the archetypes (building period, building condition and building type) and an estimation of the conditioned gross floor area for each measured building. Hence, the model can be declared as calibrated according to acceptance criteria in literature.
KW - Archetype
KW - Building energy simulation
KW - District energy simulation
KW - District heating
KW - Model calibration
KW - Energy efficiency
KW - Housing
KW - Thermal load
KW - Building energy model
KW - Building energy simulations
KW - Energy performance
KW - Energy simulation
KW - Load profiles
KW - Residential building
KW - Urban buildings
KW - energy efficiency
KW - energy flow
KW - energy resource
KW - energy use
KW - floor
KW - heating
KW - simulation
UR - https://www.mendeley.com/catalogue/672c0047-48a2-3f31-a4a7-062b351aedfa/
U2 - 10.1016/j.energy.2023.128024
DO - 10.1016/j.energy.2023.128024
M3 - Article
SN - 0360-5442
VL - 278
JO - Energy
JF - Energy
ER -
SDG 7 Affordable and Clean Energy
SDG 11 Sustainable Cities and Communities