Development of a Parametric Model to Perform Predictive Life Cycle Assessment of Baseplates for Energy Applications

The turbomachinery industry plays a crucial role in the global energy system but generates significant environmental impacts. This study investigates the environmental performance of baseplate structures supporting energy systems during use and transport. Specifically, this work aims to identify key factors influencing environmental impact and to develop a predictive model that can assist engineers in estimating Life Cycle Assessment (LCA) during the design phase. LCA was conducted on six baseplates using a “cradle-to-gate” approach, assessing global warming potential (GWP). Key parameters—mass, geographical scenario, transport distance, and recycling rate—were identified as major drivers of environmental outcomes. A sensitivity analysis enabled exploration of their combined effects. Based on these results, a predictive model was developed to estimate LCA outcomes during design, supporting sustainable engineering decisions.