ICAEN has published a new version of the Building Energy Rehabilitation Measures Simulator, an application designed to show the technical and economic feasibility of energy rehabilitation measures in residential buildings. The new version updates the acquisition cost of the materials and also the energy costs of the savings achieved, and simplifies the presentation of the results to make them easier to understand. The aim of the simulator is to give the user a first approximation of the results that certain actions would have in their home, so that a technician can then adjust them to reality.
The simulator provides different technical solutions for the measures to be applied, and information on the energy savings achieved, the economic savings generated and the cost of the investment. These data are the result of entering some basic data: the type of building and its age, the climate zone where it is located and the energy efficiency measures to be applied.
The results shown by the tool are an approximation for future energy rehabilitation, as they will vary depending on the use of each home. In addition, it should be borne in mind that the tool only calculates quantifiable factors, and cannot provide information on other factors - such as the improvement of thermal comfort, the improvement of acoustic comfort or the increase in the market value of the property -, which are also at the origin of the decision to energetically rehabilitate a building.
Energy efficiency in buildings is one of the axes of the transition towards a new cleaner, sustainable, fair and participatory energy model that Catalonia has started. The goal is to achieve a decarbonized society and economy by 2050, with an energy model based on energy efficiency and renewable energies, and where citizens can generate and manage their own energy and participate in decision-making .
According to the 2050 Energy Outlook, to achieve this scenario Catalonia must reduce final energy consumption by 30.3%; the building sector must decrease its final energy consumption by 34.2%, and it must achieve a 47.3% drop in its energy intensity (that is, the energy it needs to generate a unit of GDP).