Sustainability-Driven Engineering Software: Embedding Life-Cycle Environmental Analytics into Design Tools

Authors

  • Ura Ashfin Author

Keywords:

Sustainability, Lifecycle, Ecodesign, Interoperability, Circularit

Abstract

Increasing requirements for sustainable engineering has led to an acceleration of incorporating life-cycle environment analysis in design tools. This paper discusses the trend in sustainability oriented engineering software, which embeds LCA methods in Computer Aided Design (CAD), Building Information Modeling (BIM) and Product Life cycle Management (PLM). By integrating environmental indicators such as carbon footprint, embodied energy and material recyclability with design feedback in real time, engineers can assess directly the ecological impact of product or infrastructure development at its earliest point. The paper synthesizes particular progress in computational sustainability, data-drive material databases and AI-aided ecodesign frameworks. It accompanies the functional analysis of practices (section3) with an interoperability perspective, mostly driven by standards (e.g., ISO 14040/44, EN 15804) that improve data flow between LCA engines and engineering software solutions. This is illustrated in this paper through a mixed-method of prototyping system extension and case analysis as to how embedded environmental intelligence into the design process supports decision-making reduces wasteful resource uses and adheres to circular-economy principles. The findings also indicate that coupling sustainability analytics tools with design platforms not only improve eco efficiency and regulatory compliance but also support innovation by promoting transparency, accountability, as well as performance-driven design thinking. This research paves a way for the concept and technology foundation of the next generation sustainable engineering ecosystem.

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Published

2025-11-19

How to Cite

Sustainability-Driven Engineering Software: Embedding Life-Cycle Environmental Analytics into Design Tools. (2025). Journal of Advanced Research, 1(04), 1-17. https://joaresearch.com/index.php/JOAR/article/view/32