Analisis de integración de métodos de decisión multicriterio en el análisis de ciclo de vida enmarcado en las energias renovables

Abstract

The life cycle assessment aims to compare and analyze the environmental impacts of products and services throughout their life cycle. The methodology used to perform this analysis is defined and standardized by the 14040/14044:2006. Since the life cycle assessment is an evaluation tool widely applied to various disciplinary areas, it presents a degree of inflexibility, and therefore a high degree of uncertainty when making a decision, mainly in the last stage in which the results are interpreted for possible improvements. This situation forces us to apply appropriate techniques to facilitate and improve the decision making process in the life cycle assessment. In this context, multi-criteria decision methods have proven to be a promising instrument that allows obtaining the best option from a set of available alternatives. In this direction, we believe that the application of these methods could significantly improve the process of decision making in the analysis of life cycle. Thus, in the overall framework of this paper, we propose to review and analyze the multi-criteria methods at different stages of a life cycle assessment in the renewable energy sector.

Lucía Serrano-Luján

Associate Professor

Lucía Serrano-Luján is an Associate Professor in the Department of Computer Science. Her research field is multidisciplinary. She developed a Life Cycle Assessment methodology to assess renewable energies and applied AI to their data. Her main goal is to impact energy-related materials production and find a more sustainable way to develop them. She has applied LCA to reduce graphene oxide and perovskites solar cells, build integrated photovoltaics, etc.