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A SUSTAINABLE COMPUTATIONAL DESIGN CONCEPT USING WEB SERVICE METHODS

Published online by Cambridge University Press:  19 June 2023

James Gopsill ,
Ben Hicks ,
Oliver Schiffmann  and
Adam McClenaghan
James Gopsill*
Affiliation:
University of Bristol, UK; Centre for Modelling and Simulation, UK
Ben Hicks
Affiliation:
University of Bristol, UK;
Oliver Schiffmann
Affiliation:
University of Bristol, UK;
Adam McClenaghan
Affiliation:
University of Bristol, UK;
*
Gopsill, James, University of Bristol, United Kingdom, [email protected]

Abstract

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Simulation is fundamental to many engineering design processes and powers the field of computational design. Simulation inherently consumes energy resulting in CO2 emissions that impact our environment. While one can source energy from renewable sources and use energy efficient hardware, efforts need to also be made in how we can use simulation in a sustainable manner.

This paper presents a sustainable simulation framework that borrows concepts from web services. The framework makes it easy for engineering firms to adopt and embed sustainable simulation practices thereby removing the burden from the designer tin thinking about how to design sustainably. An illustrative example reveals a 25% reduction in computational effort can be achieved by adopting the framework.

Keywords

SimulationComputational design methodsSustainability
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 425 - 434
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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