A decision support system for energy-efficiency investments on building renovations

When intending to renovate an existing building, with energy efficiency and greenhouse gas emissions in mind, a building owner is always questioning himself if the available investment resources are being directed to an effective return and if there are ways to improve this return. In addition, it is quite difficult to identify all the criteria to be considered in such decision and how to structure it in a formal and systematic process that involves all necessary stakeholders. This paper presents an innovative approach to support decision-making when choosing energy-efficiency investments on building renovations. The proposed approach uses prediction based on model consumption to propose alternative energetic scenarios and the Analytic Hierarchy Process to select the best one.