PSI - Issue 55

154 William Silva Duran Lopes et al. / Procedia Structural Integrity 55 (2024) 151–159 4 William Silva Duran Lopes, Douglas Barreto, Inês Flores-Colen / Structural Integrity Procedia 00 (2019) 000 – 000 Technology), while the second is related to air conditioning systems not yet classified by, such as the central ones. For the systems and the partial or overall classification of the building, the prescriptive method apply the following Equation 1, in which a weighted efficiency classification resulted from weights applied to each system. ( ) 1 0 5 0.4 0.3 5 0.30 b xEqNumV AU ANC x AU APT AU AC x x EqNumCA x EqNumDPI xEqNumV AU ANC x AU APT AU AC x EqNumEnv PT + +      +       + +      = (1) Where: PT: Overall efficiency level; EqNumEnv : numerical equivalent of the Envelope; EqNumDPI: numerical equivalent of the Lighting system, identified by the acronym DPI (Lighting Power Density); EqNumCA : numerical equivalent of the Air Conditioning system; EqNumV : numerical equivalent of non-conditioned and/or naturally ventilated environments; APT : useful area of transitory stay, with no air conditioning system; ANC : useful area of unconditioned environments for prolonged stay, with proof of percentage of occupied hours of comfort by natural ventilation (POC) through the simulation method; AC : useful area with air conditioning system; AU : useful area; b : score obtained by the bonuses, which varies from zero to 1. Partial and overall efficiency level calculations can be improved in illumination and air conditioning systems. Also the last term Eq.1, b (Bonuses), is considered can increase the overall efficiency level. Should be since it is an added parameter in (last term). It should be noted that there are mandatory compliance conditions that, if not met, may limit the maximum level of efficiency of the building. For instance, external coverings or roofing that do not have thermal characteristics suitable for the climatic region in which building is located, so it cannot achieve a level A in the label's classification (PROCEL, 2017). 3.2 Tools used Two online tools were used to determine the level of efficiency according to the RTQ-C (PROCEL, 2017): • WebPrescriptivo (LABEEE, 2023) i.e., an online application created using the concepts contained in the RTQ-C. It calculates the label values of commercial and public buildings using the prescriptive method, where all the information necessary for the labelling process of the buildings is inserted. It automatically determines the value of some factors, in addition to the fact that it calculates values for label level thresholds and the partial and overall rating of the building. It should be noted that there are some prerequisites that must be met, which may limit the maximum level of efficiency if they are not achieved. • ProjetEEE - Designing Energy Efficient Buildings (MME, 2023) i.e., an application that provides several solutions for more efficient projects. The platform is based on climate data from different locations, bioclimatic strategies, as well as building components and energy-saving equipment. ProjetEEE is a great help in processes related to energy efficiency and it is used in this work to obtain thermal data of envelope (wall composition and insulation components) since it has a great influence in defining envelope and overall energy efficiency levels. 3.3 Case Study The case study presented in this contribution is the Community Library - BCo located in São Carlos campus of UFSCar, located at Sao Carlos, Sao Paulo State, Brazil ( 22° 0′ 55″ S; 47° 53′ 28″ W) . The building is part of a complex consisting of the Library, Auditoriums and Theatre, with a construction of more than nine thousand square meters, inaugurated on December 16, 1994, and started its activities on August 17, 1995. Fig. 2 shows the library front facade.  +             +     