The use of Life Cycle Assessment (LCA) is increasingly essential in guiding environmentally responsible product development, ensuring that sustainability considerations are embedded from the outset. By incorporating LCA early in the design phase, decision-makers can identify and mitigate potential environmental impacts, fostering innovation that aligns with long-term sustainability goals. This paper presents the design and implementation of a framework for the integration of LCA into the conventional product development process, with a particular focus on its applicability during early-stage Technology Readiness Levels (TRL). The framework aims to address the challenges of performing comprehensive sustainability assessments during the initial phases of product design, where data availability is often limited, and decision-making is therefore often constrained and more complex. The proposed methodology leverages both qualitative and quantitative tools to overcome the uncertainties inherent in low TRL projects, offering flexibility and scalability for a variety of industries.
A framework for LCA analysis of low TRL products: towards a sustainable approach in early development stages
Romina, Conte
;Giuseppina, Ambrogio
2025-01-01
Abstract
The use of Life Cycle Assessment (LCA) is increasingly essential in guiding environmentally responsible product development, ensuring that sustainability considerations are embedded from the outset. By incorporating LCA early in the design phase, decision-makers can identify and mitigate potential environmental impacts, fostering innovation that aligns with long-term sustainability goals. This paper presents the design and implementation of a framework for the integration of LCA into the conventional product development process, with a particular focus on its applicability during early-stage Technology Readiness Levels (TRL). The framework aims to address the challenges of performing comprehensive sustainability assessments during the initial phases of product design, where data availability is often limited, and decision-making is therefore often constrained and more complex. The proposed methodology leverages both qualitative and quantitative tools to overcome the uncertainties inherent in low TRL projects, offering flexibility and scalability for a variety of industries.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


