Analysis of building energy performance based on sensor data for building retrofitting

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URI: https://hdl.handle.net/11556/4730
ISBN: 9781713874928
DOI: 10.52202/069564-0214
Publication date
2023
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International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems
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Abstract
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.
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Publisher Copyright: © (2023) by ECOS 2023 All rights reserved.
Keywords
Building energy simulation model , data pre-processing , energy retrofitting , thermal transmittance calculation , General Energy , General Engineering , General Environmental Science , SDG 7 - Affordable and Clean Energy , SDG 12 - Responsible Consumption and Production
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conference output
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Vicente , N , Zurro , B , González , S , Ruiz , I , Sala , J M , González , J M & Picallo , A 2023 , Analysis of building energy performance based on sensor data for building retrofitting . in 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023 . 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023 , International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems , pp. 2378-2389 , 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023 , Las Palmas de Gran Canaria , Spain , 25/06/23 . https://doi.org/10.52202/069564-0214
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