Navegando por Assunto "Etiquetagem"

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Acesso aberto (Open Access)
Etiquetagem PBE Edifica em edificação pública com auxílio da tecnologia BIM
(Universidade Federal do Pará, 2019-10-30) ROSA, Rafael Cuimar Corrêa; MAUÉS, Luiz Maurício Furtado; http://lattes.cnpq.br/7497951647889934
Building in a sustainable manner has been a great challenge for construction sector professionals. Labels are one of the tools available to make buildings more efficient in several aspects. Currently, public buildings above 500m2 of constructed area are required to plan and built with energy efficiency level A according to the Brazilian Program for Energy Efficiency - PROCEL, and for this reason, the knowledge of professionals in the area about the parameters of energy efficiency is essential. Thus, the Building Information Modeling technology, BIM, was used to generate the modeling of a public building located at the Federal University of Pará, which received adjustments in the model in order to make it more efficient. The Webprescritivo tool was used to evaluate the current situation and the changes applied in the building, by the prescriptive method, information was entered into the tool and it calculated the efficiency. As a result, it was found that the adjustments made in the model, allowed the building optimization, increasing from C to A its level of energy efficiency. Also, it was found that the use of BIM technology was able to assist in the assessment of the PBE Edifica label through the rapid process of component changes and generation of accurate tables with building data, but further studies and improvements are still needed for better interaction between the tools covered in this research.
Acesso aberto (Open Access)
Metodologia de Avaliação do desempenho energético da integração de carros elétricos à edificações
(Universidade Federal do Pará, 2024-09-06) SOUZA, Ana Carolina Dias Barreto de; CARVALHO, Carminda Célia Moura de Moura; http://lattes.cnpq.br/1778332169942633; TOSTES, Maria Emília de Lima; http://lattes.cnpq.br/4197618044519148
Energy diagnosis methodologies have been incorporating energy consumption and energy generation systems into their analysis, making it possible to classify energy-self-sufficient buildings as Near Zero Energy Buildings (NZEB) or Positive Energy Buildings (PEB). In electric mobility, the increased use of electric vehicles (EVs) brings challenges and opportunities in electricity consumption, management and efficiency. The impact of this robust and growing load when integrated into new and existing buildings is not yet considered in performance assessments. Consequently, the methodologies for obtaining certifications and labels do not consider the load of this system as an individual end-use. For buildings with energy efficiency (EE) and self-sufficiency labels, introducing EVs can result in the rating being downgraded due to increased energy consumption. Therefore, analyzing the impact of integrating EVs into buildings aims to support the formulation or revision of energy diagnosis methodologies that include EV charging systems integrated into buildings. This thesis evaluates the influence of EV charging in buildings with the NZEB/PEB label from the Brazilian Building Labeling Program (PBE Edifica). Using on-site surveys, computer modelling and thermo energetic analysis with software such as OpenStudio and EnergyPlus, an energy rating was carried out on a building in Belém, State of Pará, Brazil. Subsequently, energy flow simulations using probabilistic models with the Monte Carlo method were run in OpenDSS software to examine the impact of integrating EVs without (scenario 01) and with (scenario 02) the implementation of demand-side management techniques. Analysis using the labelling methodology showed that the building has an EE level C rating and NZEB self-sufficiency. Scenario 01 generated a 69.28% increase in energy consumption, reducing the EE level to D and resulting in the loss of the NZEB class. Scenario 02 increased consumption by 40.50%, a lower percentage than scenario 01 and guaranteed the return of the NZEB class lost in scenario 1, but did not return the EE level to class C. The results highlight the need for immediate and comprehensive energy management strategies. However, these strategies are not sufficient if other consumption restrictions or EE measures are not applied to other systems in the building. To this end, EE measures were proposed and evaluated in the air conditioning and lighting systems. Subsequently, an equation was drawn up to indicate the maximum level of energy X consumption that could be increased without compromising the building's energy performance and NZEB rating. Finally, OpenDSS software was used to simulate the increased availability of EV charging after the retrofit. With the proposed retrofit, the building improved its EE ratings by three levels, and the NZEB rating percentage increased by 33.28%. These measures also increased the EV charging load by 20% while maintaining the maximum EE level and NZEB rating.