Műegyetemi Digitális Archívum

Solar Envelope Optimization Method for Complex Urban Environments

Date

Type

könyvfejezet

Language

en

Reading access rights:

Open access

Rights Holder

Faculty of Architecture, Budapest University of Technology and Economics

Conference Date

16 June - 17 June 2016

Conference Place

Budapest University of Technology and Economics

Conference Title

CAADence in Architecture, 2016

ISBN, e-ISBN

978-963-313-237-1
978-963-313-225-8

Container Title

CAADence in Architecture: Back to Command: Proceedings of the International Conference on Computer Aided Architectural Design

Version

Kiadói változat

Faculty

Faculty of Architecture

First Page

195

Subject Area

Műszaki tudományok

Subject Field

Építészmérnöki tudományok

Subject (OSZKAR)

Urban Design
Direct Solar Access
Solar Envelope
Environmental Simulations
Multi-objective Optimization

Gender

Konferenciacikk

University

Budapest University of Technology and Economics

OOC works

Abstract

Planning requirements in terms of energy efficiency and daylighting strongly contribute to shaping the layout of cities. Direct solar access is the main requirement of the right to light in Estonia. Direct sunlight hours on building facades can be calculated by using environmental simulation software that also allows right-to-light analysis through the generation of the Solar Envelope. It is a method for calculating the maximum buildable volume that allows neighbors to receive the required amount of direct sunlight in a specific period of the year. The Solar Envelope can be determined on paper or more easily using simulations. The methods used by actual environmental software have significant limitations if used in complex urban environments. This paper discusses the potentialities of multi-objective optimization tools to generate Solar Envelopes for multiple facades with different orientations and specific amount of direct solar access requirements. The results show the superiority of the developed method that integrates parametric design, environmental simulations and multi-objective optimization, compared to existing methods.

Description

Keywords