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Nature's lessons, AI's power: sustainable process design with generative AI

Published online by Cambridge University Press:  16 May 2024

Mas'udah Mas'udah  and
Pavel Livotov
Mas'udah Mas'udah*
Affiliation:
Offenburg University of Applied Sciences, Germany
Pavel Livotov
Affiliation:
Offenburg University of Applied Sciences, Germany
*
masudah@hs-offenburg.de

Abstract

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In the realm of process engineering, the pursuit of sustainability is paramount. Traditional approaches can be time-consuming and often struggle to address modern environmental challenges effectively. This article explores the integration of generative AI, as a powerful tool to generate solution ideas and solve problems in process engineering using a Solution-Driven Approach (SDA). SDA applies nature-inspired principles to tackle intricate engineering challenges. In this study, generative AI is trained to understand and use the SDA patterns to suggest solutions to complex engineering challenges.

Keywords

process designsustainabilityartificial intelligence (AI)GPTGemini
Type
Artificial Intelligence and Data-Driven Design
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 2129 - 2138
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), 2024.

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