Navegando por Autor "VIANA, Ingrid Luna Baia"
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Item Acesso aberto (Open Access) Análise do aproveitamento energético em redes de distribuição de água com a utilização de bombas como turbina (BFT)(Companhia de Saneamento Básico de São Paulo, 2023-09) SILVA, Victor Renan Barbosa da; ISHIHARA, Júnior Hiroyuki; VIANA, Ingrid Luna Baia; SOUSA, Juliana Melo de Sousa; SOUZA, Davi Edson Sales eWater distribution networks (WDNs) need adequate pressure to deliver water to users. In some cases, the pressure is excessive and is usually dissipated by pressure reducing valves (PRVs), which end up wasting this energy contained in the network. Due to the worldwide need to seek renewable energy generation technologies, researchers have studied the possibility of replacing these PRVs with a pump running as turbines (PAT). It is a centrifugal pump operating inversely in substitution of PRVs. As WDNs operate under varying conditions of flow and pressure, the prediction of PATs still encounters difficulties, which impairs their effective control of pressure when replacing PRVs. This work analyzes a real network with pressure management problems. Different locations of PRVs to control network pressure were proposed in two hydraulic simulations. The PRVs were replaced by PATs and it was evaluated to see which was the best configuration for greater control of supply pressure. The prediction of these machines was performed by a joint method that analyzes the entire operating range. In addition, the amount of energy recovered and the environmental benefits were estimated. The results show the pressure control in the two simulations (S1 and S2), in S1, the pressure in the most critical node was reduced in 42.80% and the energy recovery was 52 kWh/day. In S2, the pressure was reduced in 45.21% and the energy recovery was 190.96 kWh/day; in addition to better controlling the pressure, the energy recovery results were 267% higher than S1. The joint method, proposed in the research, simplified the PAT selection and prediction process, and it was possible to conclude that these machines should be installed in parallel with the PRVs, considering that, when the PATs cannot adjust the pressure at some times of the day, the valves do.Item Acesso aberto (Open Access) Pressure regulation and energy recovery in water distribution networks using pumps as turbines(Associação Brasileira de Engenharia Sanitária e Ambiental, 2023-03) VIANA, Ingrid Luna Baia; BATISTA, Jamile Caroline Moreira; SÁ, João Henrique Macedo; RAMALHO, Rodolfo Vitorino Correia; LOPES, Raynner Menezes; SOUZA, Davi Edson Sales e; MESQUITA, André Luiz AmaranteWater distribution networks (WDNs) are considered a potential renewable energy source, as they have more than enough pressure energy to deliver water to users. To control excessive pressure, WDNs are commonly divided into district metered areas (DMAs) with pressure reducing valves (PRVs). The energy wasted by PRVs can be recovered using pumps as turbines (PATs). However, selecting the appropriate pump remains a challenge, as it must account for daily pressure and flow variations from consumers (off-design conditions). In this article, a combination of models was validated and applied to select the suitable pump for operating in an actual WDN. The replacement of two PRVs with PATs in a real network, previously divided into two DMAs and operating at constant speed was investigated. Economic and environmental analyses were also conducted. PAT1 was technically superior to PAT2 , as PAT2 exhibited negative outlet pressure, affecting the pressure in DMA2 . Optimal efficiencies are achieved at flow rates corresponding to the pump’s best efficiency point or near it, mimicking pressure control as if they were the valves themselves. The most efficient pump recovered 4,331 kWh/year, equivalent to a reduction of 1,732,400 gCO2/year, serving two households categorized as low income. PATs proved to be a viable alternative, with a payback period of 2.1 years, as it can recover renewable energy. However, for effective pressure control in WDNs, other operational strategies, such as variable speed operation, should be explored.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.