Decision Making in Near Zero Energy Building Refurbishment: A Technology Alternatives Ranking Tool

Laura Laguna Salvado (1) , Eric Villeneuve (1) , Dimitri H. Masson (1)

1 ESTIA INSTITUTE OF TECHNOLOGY

Decision making in the context of Near Zero Energy Building refurbishment is subjected to heterogeneous stakeholders, tools and objectives. This paper presents a methodology to facilitate stakeholders collaboration in the refurbishment processes and identifies decision support approaches to help on the main decision milestones. This methodology is supported by a prototype (user interface and algorithm) of a decision support system (DSS) that allows ranking different refurbishment technologies. The proposed DSS uses a multi criteria decision method that combines weighting and fuzzy dominances approach. The approach is illustrated with a real data set to rank insulation materials.

Mots clés: Near Zero Energy Building Refurbishment; multi criteria decision making; alternatives ranking; Sustainable Decisions; Decision Support System

Domaines: Intelligence artificielle [cs.AI]; Statistiques [math.ST]

Laura Laguna Salvado, Eric Villeneuve, Dimitri H. Masson. Decision Making in Near Zero Energy Building Refurbishment: A Technology Alternatives Ranking Tool. 9th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2019, IFAC, Aug 2019, Berlin, Germany. pp.313-318, ⟨10.1016/j.ifacol.2019.11.196⟩. ⟨hal-02362849v2⟩