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

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationProceedings of the 2014 Building Simulation and Optimization Conference
Pages2093-2100
Number of pages8
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Publication typeA4 Article in a conference publication
Event14th Conference of International Building Performance Simulation Association, BS 2015 - Hyderabad, India
Duration: 7 Dec 20159 Dec 2015

Conference

Conference14th Conference of International Building Performance Simulation Association, BS 2015
CountryIndia
CityHyderabad
Period7/12/159/12/15

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.