Multi-criteria decision-making model for assessing the sustainability index of wind-turbine support systems: application to a new precast concrete alternative

Abstract

A multi-criteria decision-making system based on the MIVES method is presented as a model for assessing the global sustainability index scores of existing wind-turbine support systems. This model is specifically designed to discriminate between tower systems in order to minimize the subjectivity of the decision and, thus, facilitate the task of deciding which system is best for a given set of boundary conditions (e.g., height, turbine power, soil conditions) and economic, social and environmental requirements. The model’s versatility is proven by assessing the sustainability index of an innovative new precast concrete tower alternative also described in this paper. As a result of this analysis, some points of improvement in the new system have been detected.

A review of thermochemical upgrading of pyrolysis bio‐oil: Techno‐economic analysis, life cycle assessment, and technology readiness

“…Once common ex-ante sustainability projection methods are established, comparable results of TEA and LCA at the same TRL could be integrated to support decision-making. Possible methods to evaluate a set of technologies that reach, for instance, TRL 6, include multi-criteria decision-making (MCDM) with expert judgment, among which Delphi methods and analytical hierarchy process have been applied to support life cycle sustainability assessments for bio-based products and engineering infrastructure (de la Fuente, Armengou, Pons, & Aguado, 2017;Opher, Friedler, & Shapira, 2019;Van Schoubroeck, Springael, Dael, Malina, & Passel, 2019). A multi-objective optimization could be used as input to the MCDM, by which the decision-making mainly refers to the resulting set of Pareto-optimal scenarios related to environmental and economic criteria (Thomassen et al, 2019).…”

Solution Models Based on Symmetric and Asymmetric Information

“…The most popular hybrid MCDM methods demonstrate the advantages over traditional ones for solving complicated problems, which involve stakeholder preferences, interconnected or contradictory criteria, uncertain environment. Decision-makers could use MCDM methods [33] such as the analytic hierarchy process [34], fuzzy analytic hierarchy process [35], fuzzy Delphi [36], analytic network process under intuitionistic fuzzy set [37], additive ratio assessment (ARAS) [38], simple additive weighting, and game theory [39], Discrete two persons' zero-sum matrix game theory [40], evaluation based on distance from average solution (EDAS), complex proportional assessment (COPRAS), technique for order preference by similarity to ideal solution (TOPSIS) [41], as well as develop original models [42]. Decisions made in complex contexts need these methods for practical solutions.…”

Multi-criteria decision-making method for assessing the sustainability of post-disaster temporary housing units technologies: A case study in Bam, 2003

“…MIVES can also be calibrated to a certain time period and applied for different areas with varied local living standards and characteristics by adapting the indicators and weights defined in the requirements tree. MIVES has been used to evaluate sustainability and to make decisions in the fields of (1) university professors (Viñolas et al, 2009), (2) infrastructure (Ormazabal, Viñolas, & Aguado, 2008), (3) industrial buildings del Caño, 2012;Fuente et al, 2015;Lombera & Rojo, 2010;Pons & Aguado, 2012;Pons & Fuente, 2013), and (4) TH.…”