Topographical optimisation of single-storey non-domestic steel framed buildings using photovoltaic panels for zero carbon impact


Autoria(s): Sha, Wei
Data(s)

11/09/2014

Resumo

The optimisation is based on a combination of neural networks and evolutionary algorithm. It has selected buildings with different midpoint configurations with zero carbon impacts. With operational energy included the structures could be offset with asymmetry.

Formato

application/pdf

Identificador

http://pure.qub.ac.uk/portal/en/publications/topographical-optimisation-of-singlestorey-nondomestic-steel-framed-buildings-using-photovoltaic-panels-for-zero-carbon-impact(d54032a2-eded-4e38-ac38-01ac18d4393e).html

http://pure.qub.ac.uk/ws/files/16136035/C50Slides_2_Compatibility_Mode_.pdf

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Sha , W 2014 , ' Topographical optimisation of single-storey non-domestic steel framed buildings using photovoltaic panels for zero carbon impact ' Paper presented at ECCS European Steel Construction Day & Annual Meeting , Naples , Italy , 11/09/2014 - 12/09/2014 , .

Tipo

conferenceObject