Stochastic simulation model of water demand in residential buildings

Authors

  • Tiago Ferreira Universidade de São Paulo
  • Orestes Marraccini Gonçalves Universidade de São Paulo

DOI:

https://doi.org/10.46421/sispred.v1i.1574

Keywords:

Water demand, Design flow rates, Computational simulation

Abstract

ABSTRACT: Over the years, researchers have been conducting studies to investigate the water consumption profile in buildings, which contribute to the knowledge regarding the correct sizing of the building hydraulic systems. In context of the methods for characterization of requests, the routines commonly used to obtain the project flows were mostly proposed in mid-20th-century. These models need to be revised and adapted to nowadays water conservation reality. In recent years, some studies have proposed simulation models with application focus in water distribution systems, due to the random and temporal behavior of the requests in this type of system. In this study, a stochastic simulation model of water demand in residential buildings has been proposed, which contemplated the behavioral modeling of users and their interaction with the system, in order to improve the design process of water distribution systems. For such, the theoretical bases of previously- proposed models for the identification of significant aspects for the construction of a new model were revised, which merged the behavioral modeling of users and the hydraulic system. A simulation was made to apply the model proposed in the paper. When comparing the flows obtained by the simulation and the Brazilian Standard Method, in roof pipes, the reduction of the project flow varies from 10 to 73%. In terms of material consumption, the reduction was between 25% and 63%.

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References

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Published

04/10/2019

How to Cite

FERREIRA, T.; MARRACCINI GONÇALVES, O. Stochastic simulation model of water demand in residential buildings. In: SIMPÓSIO NACIONAL DE SISTEMAS PREDIAIS, 1., 2019. Anais [...]. Porto Alegre: ANTAC, 2019. DOI: 10.46421/sispred.v1i.1574. Disponível em: https://eventos.antac.org.br/index.php/sispred/article/view/1574. Acesso em: 19 may. 2024.