eprintid: 10205028
rev_number: 6
eprint_status: archive
userid: 699
dir: disk0/10/20/50/28
datestamp: 2025-02-20 11:54:04
lastmod: 2025-02-20 11:54:04
status_changed: 2025-02-20 11:54:04
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Musial, A
creators_name: Singh Atwal, H
creators_name: Torero, JL
title: Quantification of building performance to evaluate novel design methods
ispublished: pub
divisions: UCL
divisions: B04
divisions: F44
keywords: Training
,
Robust control
,
Translation
,
Accuracy
,
Imitation learning
,
Scalability
,
Mathematical models
,
Data models
,
Robustness
,
Manipulator dynamics
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: A framework is proposed to characterize in a holistic and quantitative manner the performance of buildings. This framework aims at using continuous performance assessment, from the design conception through the life of a building. The quantitative assessment will allow designers to move away from thinking of buildings a prototype that provides no feedback loop to designers towards analysing buildings as living laboratories that inform novel design approaches. To understand the value of the framework and any factors limiting its application a biomimicry approach was used as an example. Biomimicry principles capitalize on evolution to deliver continuous quality improvement and therefore these principles were found to be consistent with modern design objectives. A series of high-profile buildings were analysed based on publicly available data. Six buildings were shortlisted for a more in-dept analysis, nevertheless it became evident that for all these buildings there was insufficient data analysis, against the design objectives, to enable a holistic assessment of performance. To illustrate the weaknesses in the data set, the best documented building, the Council House Building (CH2) in Melbourne, Australia was analysed and areas where data was missing were established.
date: 2025-01-16
date_type: published
publisher: Emerald
official_url: https://doi.org/10.1680/jensu.24.00107
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2360374
doi: 10.1680/jensu.24.00107
lyricists_name: Torero Cullen, Jose
lyricists_id: JLTOR59
actors_name: Flynn, Bernadette
actors_id: BFFLY94
actors_role: owner
full_text_status: public
publication: Proceedings of the Institution of Civil Engineers: Engineering Sustainability
pagerange: 01-88
citation:        Musial, A;    Singh Atwal, H;    Torero, JL;      (2025)    Quantification of building performance to evaluate novel design methods.                   Proceedings of the Institution of Civil Engineers: Engineering Sustainability     01-88.    10.1680/jensu.24.00107 <https://doi.org/10.1680/jensu.24.00107>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10205028/1/Quantification%20of%20building%20performance%20to%20evaluate%20novel%20design%20methods.pdf