
The Solar Block Generator: an additive parametric method for solar driven urban block design
Author(s) -
Jonathan Natanian,
Francesco De Luca,
Thomas Wortmann,
Isaac Guedi Capeluto
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2042/1/012049
Subject(s) - block (permutation group theory) , computer science , performance indicator , photovoltaic system , workflow , generator (circuit theory) , parametric statistics , set (abstract data type) , environmental science , engineering , mathematics , electrical engineering , business , database , statistics , physics , power (physics) , geometry , marketing , quantum mechanics , programming language
This paper addresses the limitations of existing Solar Envelope (SE) methods to explore the trade-offs of solar radiation and urban shading, and to simultaneously account for several different Key Performance Indicators (KPIs). It offers an alternative parametric workflow - the Solar Block Generator (SBG) - which is based on an additive voxelization method by which multiple solar-driven massing alternatives are generated and evaluated for a given site, corresponding to a set of user-defined environmental KPIs. This method is tested here on an urban redevelopment case study in the Mediterranean (Tel Aviv). The results help achieve a more holistic approach for solar driven urban design.