DSpace Coleção:https://repositorio.unifei.edu.br/jspui/handle/123456789/882026-05-31T02:07:32Z2026-05-31T02:07:32ZAvaliação das perspectivas e impactos da extensão do programa renovabio no mercado de eficiência energética do Brasilhttps://repositorio.unifei.edu.br/jspui/handle/123456789/44132026-05-29T14:42:26Z2025-08-25T00:00:00ZTítulo: Avaliação das perspectivas e impactos da extensão do programa renovabio no mercado de eficiência energética do Brasil
Abstract: Energy efficiency is strategic for reducing greenhouse gas emissions and advancing a
sustainable energy transition. This study evaluates the creation of a carbon credit
market focused on energy efficiency policies in Brazil, using the RenovaBio program
as a reference. The research estimates the emissions avoided by the PROCEL and
PEE-ANEEL programs, analyzes potential financial gains under different scenarios,
and proposes a market structure tailored to the electricity sector. It is estimated that
between 2016 and 2022, PROCEL, in the residential, commercial, and industrial
sectors, avoided cumulative emissions of 8.37 million, 454 thousand, and 2.7 million
tons of CO₂e, respectively. In a low-price scenario, the estimated sale of PROCEL
credits would result in gains ranging from US$ 5.5 to US$ 15.5 million, reaching US$
130 million in medium/high-price scenarios during the period. Based on a sample of
765 PEE-ANEEL projects developed between 2014 and 2022, a cumulative reduction
of approximately 380 thousand tons of CO₂e was estimated, with the end use of lighting
standing out, accounting for 57% of the total estimate. The proposed market structure
includes the certification of projects through the issuance of the Certificate of Carbon
Reduction in Energy Efficiency (CRECE) and the trading of Carbon Credits in Energy
Efficiency (CefEn). The scope, management and governance mechanisms, criteria for
setting reduction targets, trading environment at B3, mechanisms for flexibility and
stability, as well as monitoring and compliance rules, were also defined. The
institutional organization of the market was represented in a flowchart, highlighting the
interactions among the agents.
Tipo: Tese2025-08-25T00:00:00ZEstudo de operação otimizada de uma rede benchmark com aplicação de protótipo de gêmeo digital adaptativo aliado a redes neurais recorrentes do tipo Long Short Term Memory e algoritmos genéticoshttps://repositorio.unifei.edu.br/jspui/handle/123456789/44092026-05-27T19:35:29Z2026-03-30T00:00:00ZTítulo: Estudo de operação otimizada de uma rede benchmark com aplicação de protótipo de gêmeo digital adaptativo aliado a redes neurais recorrentes do tipo Long Short Term Memory e algoritmos genéticos
Abstract: Climate change and the indiscriminate use of water have led to the scarcity of water resources, intensifying the water crisis. These factors put at risk the efficient supply of water to the population. Consequently, the development of techniques and methodologies to ensure the optimal operation of a water distribution network becomes essential. Therefore, this work developed a method for forecasting and optimizing losses in a benchmark water distribution network. The proposed methodology consisted of using three tools jointly, with the objective of predicting the worst loss scenarios of the study network for the next 24 hours of operation. These tools were: an adaptive digital twin prototype for simultaneous data exchange between server and client; a recurrent LSTM neural network for forecasting the worst loss scenarios; and a genetic algorithm for optimizing these scenarios based on the ideal configuration of operational parameters: pumps, valves, and reservoirs. For this purpose, the Python programming language and its libraries were used, such as WebSocket, Scikit-Learn, and Keras (TensorFlow). The most adverse loss scenarios found ranged between 51% and 53%, representing an average increase of 15.44 percentage points compared to the system's baseline condition. By applying the genetic algorithm, it was possible to achieve an average reduction of 11.42 percentage points in these scenarios, as well as identifying the operational configurations responsible for this improvement, allowing their incorporation as a mitigation strategy. Thus, the main innovation of this work lies in the integration of these three approaches into a single framework, enabling not only prediction but also optimization of critical operating conditions. The use of the digital twin allowed for analyses to be performed in a virtual environment, without risks to the real system, while the combination with artificial intelligence and optimization techniques contributed to increased operational efficiency and the anticipation and mitigation of adverse loss scenarios.
Tipo: Tese2026-03-30T00:00:00ZSistemas híbridos supramoleculares utilizando ciclodextrinas para liberação de cloridrato de amitriptilinahttps://repositorio.unifei.edu.br/jspui/handle/123456789/44082026-05-27T18:52:43Z2026-03-09T00:00:00ZTítulo: Sistemas híbridos supramoleculares utilizando ciclodextrinas para liberação de cloridrato de amitriptilina
Abstract: Amitriptyline hydrochloride (AMT) is a tricyclic antidepressant used in the treatment of depression; however, it presents several side effects associated with oral administration, in addition to limited bioavailability. In this context, hybrid drug delivery systems based on supramolecular interactions with cyclodextrins (CDs) have emerged as promising strategies to modulate drug release and mitigate these limitations. These systems combine CD-based compounds, such as inclusion complexes (ICs) and cyclodextrin-based nanosponges (CDNSs), with biocompatible polymeric matrices. In this study, the interactions between AMT and different natural and modified CDs were investigated. Solid-state ICs were obtained by lyophilization and characterized by Fourier-transform infrared spectroscopy in attenuated total reflectance mode (FTIR-ATR). In solution, the interactions were evaluated by isothermal titration calorimetry (ITC) and nuclear magnetic resonance (NMR) spectroscopy. ITC results indicated higher affinity and stability for the AMT:βCD system, while NMR experiments confirmed the inclusion compound formation, justifying the selection of βCD as a precursor for CDNS synthesis. Two CDNSs were prepared using hexane-1,6-diamine (am6) and dodecane-1,12-diamine (am12) as crosslinking agents. The CDNSs were characterized using spectroscopic, thermal, and colloidal techniques. AMT incorporation was confirmed by adsorption assays and scanning electron microscopy (SEM), and desorption studies demonstrated that more than 90% of the drug was released in water. Poly(vinyl alcohol) (PVA) hydrogels were used as polymeric matrices, and different polymer concentrations were evaluated in terms of morphology, swelling behavior, and release kinetics. Hybrid systems containing CDNSs incorporated into 20% PVA hydrogels exhibited a reduction in the burst effect and prolonged AMT release, demonstrating the potential of these materials as controlled drug delivery systems.
Tipo: Tese2026-03-09T00:00:00ZClimate intervention: effects of stratospheric aerosol injection on southern hemisphere extratropical cycloneshttps://repositorio.unifei.edu.br/jspui/handle/123456789/44072026-05-27T17:27:19Z2026-03-26T00:00:00ZTítulo: Climate intervention: effects of stratospheric aerosol injection on southern hemisphere extratropical cyclones
Abstract: Since the long residence time of greenhouse gases in the atmosphere limits the immediate effectiveness of traditional mitigation techniques, Climate Intervention (CI) approaches, specifically Stratospheric Aerosol Injection (SAI), emerge as potential strategies to reduce global warming. However, the impacts of SAI on components of the climate system, particularly on extratropical cyclones (ETCs) in the Southern Hemisphere, remain poorly understood, despite the high vulnerability of coastal regions to these systems. This study aimed to fill this gap by assessing the impacts of SAI on ETCs climatology, and their associated precipitation and winds, focusing on subdomains of South America, Southern Africa, and Australia. To this end, climate projections from the GeoMIP, GLENS, and ARISE-SAI international modeling projects were used, comparing scenarios with and without the application of SAI. The results indicate that, although the frequency of cyclones shows a decreasing trend in both future scenarios, the reduction is statistically less pronounced under SAI scenarios. Crucially, while unrestricted global warming (without SAI) projects an intensification of cyclones (lower central pressures), the implementation of SAI reduces this effect, keeping the intensity of the systems closer to that of the present climate. Regarding the associated impacts, it was observed that SAI induces a general weakening in precipitation and wind intensity at 10 meters generated by cyclones compared to scenarios without intervention. Consequently, the percentage contribution of cyclones to annual precipitation and wind totals tends to decrease from the near to the distant future under the influence of SAI, suggesting that this technique acts by bringing the dynamic and thermodynamic characteristics of cyclones closer to historical reference conditions. These findings highlight the problem that, although SAI is effective in mitigating the intensity of cyclones, it does not restore the climate to a state similar to the reference period, requiring assessments of potential risks and side effects. Thus, the implementation of intervention strategies requires caution and robust scientific research. Future studies need to improve high-resolution modeling and possible alternative strategies, as well as integrated research on other tipping points. Above all, there is an urgent need to include the Global South contexts in the risk assessments and governance of these technologies.
Tipo: Tese2026-03-26T00:00:00Z