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https://dx.doi.org/10.6092/228...
Article . 2020
License: CC BY
Data sources: Datacite
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PROCESSI DI PARAMETRIC E COMPUTATIONAL DESIGN PER LA DEFINIZIONE DI STRATEGIE DI REGENERATIVE CLIMATE ADAPTIVE DESIGN PER IL DISTRETTO DI SECONDIGLIANO

Authors: BASSOLINO EDUARDO; Palma Iannotti Francesco;

PROCESSI DI PARAMETRIC E COMPUTATIONAL DESIGN PER LA DEFINIZIONE DI STRATEGIE DI REGENERATIVE CLIMATE ADAPTIVE DESIGN PER IL DISTRETTO DI SECONDIGLIANO

Abstract

Lo studio si propone di determinare processi di simulazione con strumenti IT di Parametric e Computational Design quale supporto nell’analisi ambientale degli spazi aperti e nell’analisi energetica degli edifici. Lo scopo è quello di definire strategie di regenerative climate adaptive design, quale risposta agli stimoli ambientali dovuti ai cambiamenti climatici con ripercussioni sullo spazio aperto costruito, in particolare all’aumento delle temperature in città. Tale approccio stabilisce un avanzamento metodologico rispetto ad esperienze analoghe nella definizione controllata, mediante strumenti IT, delle possibili scelte da operare all’interno di processi edilizi complessi, offrendo la possibilità di descrivere molteplici scenari d’intervento in base all’evoluzione e al raffinamento degli scenari climatici futuri. Parole chiave: computational design, environmental analysis, energy analysis

BDC. Bollettino Del Centro Calza Bini, Vol 20 No 2 (2020): Public Spaces, Nature-based Infrastructures and Common Goods

Country
Italy
Related Organizations
Keywords

environmental analysis, computational design, energy analysis, computational design, environmental analysis, energy analysis

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green