Abstract

This work is aimed to suggest a numerical approach able to select the most useful building orientation with respect to the local wind in complex urban areas. It is showed a mesoscale-microscale numerical approach able to predict local flow patterns for building designers. The city of Ancona was selected to analyse wind patterns over complex orography in presence of buildings. The analysed area is characterized by a densely built hilly promontory flanked by a poorly urbanized valley. Two buildings were chosen to carry out energy analyses. At first, the MM5 weather prediction model is used to assess the wind patterns and the wind occurrence distribution. The 2010 year was simulated and compared with real data from a met-mast. After, computational fluid dynamic (CFD) analyses are conducted with and without the surrounding buildings to appreciate speed and inflow e˙ects. CFD results showed great changes in the examined building area. The final step was the energy simulation, by means of EnergyPlus, of two multistoried buildings equipped with a double skin façade; results show a great impact on the energy consumption by comparing a wrong orientation with respect to the best solution derived from the mesoscale-microscale approach.

Details

Title
A Mesoscale-Microscale approach for the energy analysis of buildings
Author
Montelpare, S 1 ; V D’Alessandro 2 ; Lops, C 1 ; Costanzo, E 2 ; Ricci, R 2 

 University “G. d’Annunzio” of Chieti-Pescara, Engineering and Geology Department (INGEO) Viale Pindaro 42, 65127 Pescara (Italy 
 Marche Polytechnic University, Industrial Engineering and Mathematical Sciences Department (DIISM) Via Brecce Bianche 1, 60131 Ancona (Italy 
Publication year
2019
Publication date
May 2019
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2566170292
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.