Gaps and requirements for automatic generation of space layouts with optimised energy performance

Tiantian Du; Michela Turrin; Sabine Jansen; Andy van den Dobbelsteen; Jian Fang

doi:10.1016/j.autcon.2020.103132

Gaps and requirements for automatic generation of space layouts with optimised energy performance

Tiantian Du, Michela Turrin, Sabine Jansen, Andy van den Dobbelsteen, Jian Fang

Research output: Contribution to journal › Review article › peer-review

15 Citations (Scopus)

148 Downloads (Pure)

Abstract

Due to the critical need for reducing carbon emissions, the demand for energy-efficient building design is urgent. Studies have shown that space layouts affect energy performance considerably. Energy performance optimisation is able to improve energy performance significantly. However, in order to apply energy performance optimisation to space layouts (EPO), abundant layout alternatives are needed. With the development of computational methods, automatic generation of space layouts (GSL) helps to generate abundant layouts quickly. Therefore, combining GSL with EPO is expected to be greatly helpful for energy-efficient design. This paper investigates 10 relevant studies combining GSL and EPO and analyses their gaps. Furtherly, we extend the analysis to the research on GSL and EPO. 7 GSL methods are categorised and evaluated based on 66 studies, and the requirements for the combination with optimisation are inspected. Regarding EPO, the requirements for energy performance assessment and optimisation are analysed.

Original language	English
Article number	103132
Number of pages	18
Journal	Automation in Construction
Volume	116
DOIs	https://doi.org/10.1016/j.autcon.2020.103132
Publication status	Published - 2020

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Space layout design
Automatic generation
Energy performance optimisation

Access to Document

10.1016/j.autcon.2020.103132

1-s2.0-S0926580519307496-mainFinal published version, 4.36 MB

Cite this

@article{7971fb312dfd43c0a90c0757a95bdf52,

title = "Gaps and requirements for automatic generation of space layouts with optimised energy performance",

abstract = "Due to the critical need for reducing carbon emissions, the demand for energy-efficient building design is urgent. Studies have shown that space layouts affect energy performance considerably. Energy performance optimisation is able to improve energy performance significantly. However, in order to apply energy performance optimisation to space layouts (EPO), abundant layout alternatives are needed. With the development of computational methods, automatic generation of space layouts (GSL) helps to generate abundant layouts quickly. Therefore, combining GSL with EPO is expected to be greatly helpful for energy-efficient design. This paper investigates 10 relevant studies combining GSL and EPO and analyses their gaps. Furtherly, we extend the analysis to the research on GSL and EPO. 7 GSL methods are categorised and evaluated based on 66 studies, and the requirements for the combination with optimisation are inspected. Regarding EPO, the requirements for energy performance assessment and optimisation are analysed.",

keywords = "Space layout design, Automatic generation, Energy performance optimisation",

author = "Tiantian Du and Michela Turrin and Sabine Jansen and {van den Dobbelsteen}, Andy and Jian Fang",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.",

year = "2020",

doi = "10.1016/j.autcon.2020.103132",

language = "English",

volume = "116",

journal = "Automation in Construction",

issn = "0926-5805",

publisher = "Elsevier",

}

TY - JOUR

T1 - Gaps and requirements for automatic generation of space layouts with optimised energy performance

AU - Du, Tiantian

AU - Turrin, Michela

AU - Jansen, Sabine

AU - van den Dobbelsteen, Andy

AU - Fang, Jian

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2020

Y1 - 2020

N2 - Due to the critical need for reducing carbon emissions, the demand for energy-efficient building design is urgent. Studies have shown that space layouts affect energy performance considerably. Energy performance optimisation is able to improve energy performance significantly. However, in order to apply energy performance optimisation to space layouts (EPO), abundant layout alternatives are needed. With the development of computational methods, automatic generation of space layouts (GSL) helps to generate abundant layouts quickly. Therefore, combining GSL with EPO is expected to be greatly helpful for energy-efficient design. This paper investigates 10 relevant studies combining GSL and EPO and analyses their gaps. Furtherly, we extend the analysis to the research on GSL and EPO. 7 GSL methods are categorised and evaluated based on 66 studies, and the requirements for the combination with optimisation are inspected. Regarding EPO, the requirements for energy performance assessment and optimisation are analysed.

AB - Due to the critical need for reducing carbon emissions, the demand for energy-efficient building design is urgent. Studies have shown that space layouts affect energy performance considerably. Energy performance optimisation is able to improve energy performance significantly. However, in order to apply energy performance optimisation to space layouts (EPO), abundant layout alternatives are needed. With the development of computational methods, automatic generation of space layouts (GSL) helps to generate abundant layouts quickly. Therefore, combining GSL with EPO is expected to be greatly helpful for energy-efficient design. This paper investigates 10 relevant studies combining GSL and EPO and analyses their gaps. Furtherly, we extend the analysis to the research on GSL and EPO. 7 GSL methods are categorised and evaluated based on 66 studies, and the requirements for the combination with optimisation are inspected. Regarding EPO, the requirements for energy performance assessment and optimisation are analysed.

KW - Space layout design

KW - Automatic generation

KW - Energy performance optimisation

UR - http://www.scopus.com/inward/record.url?scp=85084849966&partnerID=8YFLogxK

U2 - 10.1016/j.autcon.2020.103132

DO - 10.1016/j.autcon.2020.103132

M3 - Review article

SN - 0926-5805

VL - 116

JO - Automation in Construction

JF - Automation in Construction

M1 - 103132

ER -

Gaps and requirements for automatic generation of space layouts with optimised energy performance

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this