Περίληψη σε άλλη γλώσσα
The current thesis aimed at establishing a novel method to combine dynamic building energy performance simulation tools with microclimatic models, targeting to a higher accuracy of the buildings’ annual heating and cooling energy needs’ calculations. Typical hourly weather datasets, a required input for dynamic energy performance calculations, have been created to be representative of the microclimatic conditions occurring in the near vicinity of generic 1st and 3rd floor building units, located inside 4 urban areas in Thessaloniki. The one way-coupling method has been based on three tools: (a) the ENVI-met v.4 microclimate model, (b) the Meteonorm weather generator and the (c) the dynamic building energy simulation tool Energy Plus. Microclimate simulations have been initially performed with the ENVI-met model, for 12 representative days (1 of each month) and for all 4 urban study areas. At a next step, the microclimate simulation results, reported in front of the examined building un ...
The current thesis aimed at establishing a novel method to combine dynamic building energy performance simulation tools with microclimatic models, targeting to a higher accuracy of the buildings’ annual heating and cooling energy needs’ calculations. Typical hourly weather datasets, a required input for dynamic energy performance calculations, have been created to be representative of the microclimatic conditions occurring in the near vicinity of generic 1st and 3rd floor building units, located inside 4 urban areas in Thessaloniki. The one way-coupling method has been based on three tools: (a) the ENVI-met v.4 microclimate model, (b) the Meteonorm weather generator and the (c) the dynamic building energy simulation tool Energy Plus. Microclimate simulations have been initially performed with the ENVI-met model, for 12 representative days (1 of each month) and for all 4 urban study areas. At a next step, the microclimate simulation results, reported in front of the examined building units have been then extracted from ENVI-met and the corresponding average daily values been introduced in Meteonorm stochastic weather generator to create the site-specific, annual climatic datasets. A total number of 8 'Urban Specific Weather Datasets' (USWDs) has been created, while the microclimatic particularities of every examined site in which the examined building units are subjected, have been accounted for. Another hourly weather file, a ‘Reference Weather Dataset’ (RWD) corresponding at a reference location of a meteo station has been also stochastically created, in Meteonorm weather generator. The intercomparison of the Tair values from the generated USWDs and the RWD revealed generally higher Tair values inside all urban areas, compared to the corresponding values at the reference location. The following step involved the dynamic energy performance simulations, using the RWD and the USWDs for the 1st and the 3rd floor building units of the 4 case study areas, while both insulated and non-insulated building envelopes have been considered. The comparative assessment of the obtained annual heating and cooling energy needs of all the examined building units revealed the importance of accounting for the local microclimatic conditions during the dynamic energy performance calculations, so as to avoid miscalculations and approximations. The total annual energy needs of all the examined building units, calculated with the use of the RWD were always higher than the respective needs, calculated for the USWDs, while the higher urban Tair values in winter have been proven beneficial on the reduction of the annual heating energy needs, an effect that is however counterbalanced by the important rise of the cooling energy needs in summer.
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