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Employing a multi-Objective robust optimisation method for healthy and low-energy dwelling design in Delhi, India

Nix, E; Das, P; Taylor, J; Davies, M; (2015) Employing a multi-Objective robust optimisation method for healthy and low-energy dwelling design in Delhi, India. In: Mathur, J and Garg, V, (eds.) Proceedings of BS2015: 14th Conference of International Building Performance Simulation Association. (pp. pp. 2093-2100). International Building Performance Simulation Association (IBPSA): Hyderabad, India. Green open access

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Abstract

Dwelling design needs to consider multiple objectives and uncertainties to achieve effective and robust performance. A multi-objective robust optimisation method is outlined and then applied with the aim to optimise a one-story archetype in Delhi to achieve a healthy low-energy design. EnergyPlus is used to model a sample of selected design and uncertainty inputs. Sensitivity analysis identifies significant parameters and a meta-model is constructed to replicate input-output relationships. The meta-model is employed in a hybrid multi-objective optimisation algorithm that accounts for uncertainty. Results demonstrate the complexities of achieving a low energy consumption and healthy indoor environmental quality.

Type: Proceedings paper
Title: Employing a multi-Objective robust optimisation method for healthy and low-energy dwelling design in Delhi, India
Event: 14th Conference of International Building Performance Simulation Association
ISBN-13: 9789352301188
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.ibpsa.org/proceedings/BS2015/p2654.pdf
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/1493037
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