Normalization TOPSIS methods and its application within data processing and programming for automated comparison and selection of best of all practices in sustainable assessment, Zero/+ Carbon and LCATitle Missing
Main Presenter: María Verde-Muniesa
Session: Virtual Poster Session 1
The study tries to define and automatized normalization new paths to allow accurately selecting no standard solutions which are the best solutions possible in LCA. The departure point to initially prove or refute the thesis in this study by an example of this methodology, and the feasibility of the proposal, a normalization method, with aggregation, and finally graphic representation and interpretation is applied.
Actual comparison methods make difficult to find the best sustainable possible solutions, which restrains the ability of the designer to maximize the benefit of the procedure. In the analysed case, a single house is studied, through LCA, to find the best possible results regarding GWP emissions.
The obstacles of the study have been mainly the incompatibility of some data, and the difficulties associated to the standardized policies for the data, and the upcoming new policies, for an accurate environmental impact calculation. The research allowed determining that the data from material EPDs can be more suitable when the main aim of a design is to achieve zero emissions or a zero+ building, meaning it produces more energy that it consumes or it has a negative carbon balance.
The feasibility of the proposal, is due to and carried on the previous works of Dr. Luís Bragança, MARS – Metodologia de Avaliação Relativa da Sustentabilidade and the TOPSIS methodology the Díaz-Balteiro expression is deployed. Formula:
In which: Pi – Parameter/Indicator value (i); P*i – Worst performance solution Parameter/Indicator value (i); P*i – Best performance solution Parameter/Indicator value (i);
The final graphic representations confirm the utility of the approach, in particular in early stage of the building design. It enables changes that could lead to best benchmarking in the sustainable ratings, and the low emissions target, through LCA analysis. The comparison method, has a valuable part in the finding of some inconsistencies of the calculation of emissions during the whole life span of the building, and considering the replacement rates of materials and building construction systems.