Programa de Pós-Graduação em Engenharia de Infraestrutura e Desenvolvimento Energético - PPGINDE/NDAE/Tucuruí
URI Permanente desta comunidadehttps://repositorio.ufpa.br/handle/2011/9400
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Item Acesso aberto (Open Access) Predição de bombas funcionando como turbinas em toda a faixa de operação: estudo de caso de uma rede de distribuição de água(Universidade Federal do Pará, 2021-06-18) GAIA, Juliana Garcia; MESQUITA, André Luiz Amarante; http://lattes.cnpq.br/1331279630816662Nowadays, the importance of reducing energy costs and/or obtaining alternative forms of generation has increased more and more. In this context, pumps working as turbines (BFT) emerge as a sustainable alternative for energy generation taking advantage of the hydraulic potential of a location. However, the adversity found is related to the BFT operating range in turbine mode. This work aims to theoretically determine the operating range of pumps working as turbines of pumps selected to work as pressure reducing valves (PRV) in the water supply system (SAA) of Vila Permanente, in Tucuruí. Three experimental studies were evaluated and the methods of Sharma & Williams (1995), Yang et al. (2012) and Alatorre-Frenk (1994) to achieve the PATs head (Ht) and flow (Qt) prediction results in turbine mode at the best efficiency point (BEP); after that, the method developed by Rossi (2019) was applied, which works outside the entire operating range of the BFT, combined with the methods in the BEP to obtain the characteristic curves Q x H (flow x head) and Q x η ( flow x efficiency) of the BFT in turbine mode; and finally, the results obtained through the methods were compared with the results of experimental studies, so that the best combination of methods was selected. Then, with the height and flow values of the pressure points in the SAA of Vila Permanente, centrifugal pumps were selected to work as turbines, applying the best combination of method and then obtaining the characteristic curves Q x H (flow x head) and Q x η (flow x efficiency) of the BFT in turbine mode, in order to reveal various points where the BFT can operate; in addition to energy recovery calculations with values in KW per day, month and year. In water supply systems, energy costs are excessive and it is common to use pressure reducing valves at points where this reduction is necessary to ensure the right circumstances for the transport of water in the pipeline. In this way, it is understood that there is a waste of energy that could be used in the system itself.Item Acesso aberto (Open Access) Protótipo para análise técnico-econômica de bombas funcionando como turbinas em redes de distribuição de água(Universidade Federal do Pará, 2025-02-27) VIANA, Ingrid Luna Baia; SOUZA, Davi Edson Sales e; http://lattes.cnpq.br/6130270007673176; HTTPS://ORCID.ORG/0000-0001-9632-5667; ISHIHARA, Júnior Hiroyuki; http://lattes.cnpq.br/3498874642887006; https://orcid.org/0000-0002-0081-7913The growing need for sustainable solutions in water distribution networks requires technologies that optimize energy efficiency and reduce operating costs. However, choosing the best alternative for implementing Pumps Operating as Turbines (BFTs) is challenging due to the multiple technical and economic criteria involved. Therefore, this study proposes a decision support model, employing multicriteria techniques and computer programming to assist in selecting the most viable alternative within different scenarios. The analysis focuses on the technical-economic feasibility of BFTs in Water Distribution Networks (RDAs), using the TOPSIS method, where data will be evaluated and classified by similarity to ideal conditions. Implemented in Python, the system ensures calculation accuracy, with a graphical interface called FliessEnergy, hosted by Vercel, with a responsive and scalable layout, providing an optimized user experience. Practical application with real RDA data demonstrated its effectiveness in prioritizing the most advantageous alternatives. The results indicated that Scenario 1 presented the best configuration for implementing BFTs, while Scenario 5 was the least favorable alternative. This classification of alternatives helps managers make decisions, taking into account both the proximity to the best conditions and the distance from the worst. To assess the reliability and consistency of the codes, PyTOPS, free software that allows several simulations with changes in the weights of the criteria, was used. A total of 500 simulations were performed, resulting in reduced variability between the scenarios, which reinforces the robustness of the model and its ability to generate consistent classifications even with small changes in the parameters. The model proved consistent and reliable, offering a useful instrument for evaluating the implementation of BFTs in RDAs. It is expected that, with future improvements and integration of databases, this solution can contribute significantly to strategic decisions in the sanitation sector in Brazil.