Delphi/AHP-based method for biomass sustainable assessment in the sugar industry

• Autores: Castillo Alvarez, Yoisdel, Jiménez Borges, Reinier, Alvarez-Gonzalez, Andres Lorenzo, Iturralde Carrera, Luis Angel, Bravo Amarante, Edelvy, Rodríguez Pérez, Berlan, Álvarez-Alvarado, José M., Rodríguez-Reséndiz, Juvenal
• Formato: artículo
• Fecha de Publicación: 2024
• Institución: Universidad Tecnológica del Perú
• Repositorio: UTP-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.utp.edu.pe:20.500.12867/14470
• Enlace del recurso: https://hdl.handle.net/20.500.12867/14470; https://doi.org/10.3390/eng5030119
• Nivel de acceso: acceso abierto
• Materia: Delphi method; Biomass; Sensitivity analysis; Process engineering; https://purl.org/pe-repo/ocde/ford#2.03.01

Multi-criteria methods are highly attractive tools to address the inherent complexity of evaluating problems in various scientific areas. The combination of methods such as Delphi/AHP is emerging as a robust alternative to evaluate the sustainability of renewable energy sources. In this theoretical-descriptive research, the use of the Delphi method is proposed to select criteria and sub-criteria to obtain a high level of reliability, while the AHP method is used to establish an order of preference among the alternatives analyzed. This process requires the support of a committee of experts, whose role is to identify the various biomass alternatives that can be used in the sugar industry, considering aspects related to sustainability. The selected experts have identified energy, exergy, and emergetic indicators, in which economic, environmental, and social aspects are integrated. The multi-criteria analysis shows that the V1 variant was the most satisfactory in terms of biomass sustainability, representing 45% and 53% of the overall priorities in the evaluated case studies. In addition, the sensitivity analysis under an equal-weighted scenario for both study cases evidenced that variant V1 acquired the highest score (38.17%) among all alternatives. Variant V4 achieved the second highest score (31.79%), while alternative V2 achieved only 29.04%, respectively. The integration of Delphi/AHP methods emerges as a novel tool to assess sustainability in different industries of the energy sector.