TY - GEN
T1 - Analysis of building energy performance based on sensor data for building retrofitting
AU - Vicente, Noelia
AU - Zurro, Belén
AU - González, Sara
AU - Ruiz, Imanol
AU - Sala, José María
AU - González, José Manuel
AU - Picallo, Ana
N1 - Publisher Copyright:
© (2023) by ECOS 2023 All rights reserved.
PY - 2023
Y1 - 2023
N2 - The current building stock is responsible for a large part of the final energy consumption in Europe and most of it presents the greatest potential for energy savings. One of the most important steps in the retrofitting process is to understand its pre-retrofitting stage energy performance, and the building energy simulation (BES) models can play a significant role in that sense. In this paper, a building case study has been monitored during a whole year. A methodology has been developed specifically for the pre-processing procedure of the building monitored data. Then, based on the available detailed building drawings, building operational data and the data sets obtained after data calibration, a first approach of a BES model is carried out. In addition, some window samples have been tested in the Laboratory of Building Quality Control of the Basque Government to measure their thermal transmittance. These samples will be introduced in the BES model in future works, to evaluate the reduction in heating demand after the windows replacement. A sensibility analysis of the recorded data justifies their good quality. In consequence, the accumulated heating energy supplied by the boiler reaches a value of 44.05 MWh in the monitored year and the total electric energy consumption is 16.71 MWh.
AB - The current building stock is responsible for a large part of the final energy consumption in Europe and most of it presents the greatest potential for energy savings. One of the most important steps in the retrofitting process is to understand its pre-retrofitting stage energy performance, and the building energy simulation (BES) models can play a significant role in that sense. In this paper, a building case study has been monitored during a whole year. A methodology has been developed specifically for the pre-processing procedure of the building monitored data. Then, based on the available detailed building drawings, building operational data and the data sets obtained after data calibration, a first approach of a BES model is carried out. In addition, some window samples have been tested in the Laboratory of Building Quality Control of the Basque Government to measure their thermal transmittance. These samples will be introduced in the BES model in future works, to evaluate the reduction in heating demand after the windows replacement. A sensibility analysis of the recorded data justifies their good quality. In consequence, the accumulated heating energy supplied by the boiler reaches a value of 44.05 MWh in the monitored year and the total electric energy consumption is 16.71 MWh.
KW - Building energy simulation model
KW - data pre-processing
KW - energy retrofitting
KW - thermal transmittance calculation
UR - http://www.scopus.com/inward/record.url?scp=85174533550&partnerID=8YFLogxK
U2 - 10.52202/069564-0214
DO - 10.52202/069564-0214
M3 - Conference contribution
AN - SCOPUS:85174533550
T3 - 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023
SP - 2378
EP - 2389
BT - 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023
PB - International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems
T2 - 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023
Y2 - 25 June 2023 through 30 June 2023
ER -