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Restoration of the building hourly space heating and cooling loads from the monthly energy consumption
Highlights ► Restoration of the building hourly space heating and cooling loads from monthly energy consumption. ► Multivariate regression inverse modelling assisted by TRNSYS simulations. ► Validation of the estimation procedure for some representative cases. ► The coefficient of determination is in the range 0.74–0.96.
Abstract The assessment of integrated multi-energy systems in buildings may require the knowledge of the energy use for building space heating and cooling with a temporal precision of at least 1h. To assist the overall system optimisation, a parameter estimation procedure, which allows to restore the hourly space heating and cooling loads from the monthly energy consumption is here presented. The innovative aspect of the suggested approach lies in the possibility offered by a steady-state inverse modelling procedure to restore the short term heating and cooling loads of a building by using as input aggregated energy consumption data and the short term behaviour of the climatic variables. The effectiveness of the procedure, based on a non-linear multivariate regression approach, has been assessed with synthetic data calculated by means of the TRNSYS 16 software. Climatic data from Meteonorm assisted the simulations for four European locations. Wall construction, glazing portion, internal both sensible and latent heat gain, air change rate, time scheduling of plant operation have been considered. The hourly space heating or cooling loads were restored with a coefficient of determination included between 0.74 and 0.96. The satisfactory results obtained suggest that the estimation procedure can be extended to restore the hourly energy use for space heating and cooling from the utility bills of existing buildings.
Restoration of the building hourly space heating and cooling loads from the monthly energy consumption
Highlights ► Restoration of the building hourly space heating and cooling loads from monthly energy consumption. ► Multivariate regression inverse modelling assisted by TRNSYS simulations. ► Validation of the estimation procedure for some representative cases. ► The coefficient of determination is in the range 0.74–0.96.
Abstract The assessment of integrated multi-energy systems in buildings may require the knowledge of the energy use for building space heating and cooling with a temporal precision of at least 1h. To assist the overall system optimisation, a parameter estimation procedure, which allows to restore the hourly space heating and cooling loads from the monthly energy consumption is here presented. The innovative aspect of the suggested approach lies in the possibility offered by a steady-state inverse modelling procedure to restore the short term heating and cooling loads of a building by using as input aggregated energy consumption data and the short term behaviour of the climatic variables. The effectiveness of the procedure, based on a non-linear multivariate regression approach, has been assessed with synthetic data calculated by means of the TRNSYS 16 software. Climatic data from Meteonorm assisted the simulations for four European locations. Wall construction, glazing portion, internal both sensible and latent heat gain, air change rate, time scheduling of plant operation have been considered. The hourly space heating or cooling loads were restored with a coefficient of determination included between 0.74 and 0.96. The satisfactory results obtained suggest that the estimation procedure can be extended to restore the hourly energy use for space heating and cooling from the utility bills of existing buildings.
Restoration of the building hourly space heating and cooling loads from the monthly energy consumption
Pagliarini, Giorgio (author) / Rainieri, Sara (author)
Energy and Buildings ; 49 ; 348-355
2012-02-20
8 pages
Article (Journal)
Electronic Resource
English
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