01. Universidade Federal Rural de Pernambuco - UFRPE (Sede)
URI permanente desta comunidadehttps://arandu.ufrpe.br/handle/123456789/1
Navegar
2 resultados
Resultados da Pesquisa
Item Um ambiente para modelagem integrada de energia, custo e disponibilidade de Data Centers(2021-07-20) Leonardo, Wenderson de Souza; Callou, Gustavo Rau de Almeida; http://lattes.cnpq.br/3146558967986940; http://lattes.cnpq.br/0100793252761254Sustainability has received increasing attention from the scientific community, with a strong focus on reducing energy consumption and maintaining nonrenewable resources for future generations. In parallel, the expansion of paradigms such as cloud computing, social networking, and e commerce has increased the demand for data centers. In this context, tools that support the modeling of data center architectures and compute metrics such as availability, cost, and energy consumption are extremely important. This project proposes developing a tool with a high level vision for modeling data Center architectures to compute energy consumption, availability, and cost. This tool development uses a graph library to represent the architecture’s components, and from which it will be internally converted to scripts compatible with another tool, called Mercury. The proposed tool will convert the model of this high level view, and through the communication with Mercury, the metrics of interest will be computed by formalism such as RBD(Reliability Block Diagram), EFM (Energy Flow Model) e SPN (Stochastic Petri Nets). Furthermore, optimization algorithms were integrated into the proposed tool. In order to find a combination of components for a given data center architecture in a reduced fraction of time, compared to the brute force algorithm (algorithm that tests all cases), from a preestablished list of components.Item Controle de temperatura de estufas utilizando método de controle supervisório(2020-10-29) Araújo, Guilherme Matheus de; Gonçalves, Glauco Estácio; http://lattes.cnpq.br/6157118581200722; http://lattes.cnpq.br/1992687962116742Greenhouses are structures used to set ideal environmental conditions for plant development. They are easy to build and maintain and vary in shape, structural components and other factors. They are made to adjust according to the needs of those who implent them, to a giving group of plants. One of the main factors that influence plant growth is the temperature inside the greenhouse. In order to reach the ideal temperature conditions for each group of plants automatically, a temperature control system, which models the actuators of a greenhouse environment and the events that occur in it, was developed. The validation of this control system was made possible thanks to the creation of a simulator developed according to the principles of mass and energy balance. The communication between the two entities takes place through a REST application interface. Three modeling proposals and rules for the control system are presented in this work. The main objective is to determine which one has the best feasibility and efficiency ratio in controlling the temperature inside the greenhouse, considering energy consumption, error rate in ºC and the percentage of time that the environment remains within ideal conditions. All proposals are based on the control of the states of two specific actuators in a greenhouse: the heating and cooling systems. The simulated scenarios use specific configurations for the greenhouse and a small tomato crop, in 24 hours periods for days chosen from different seasons. The control models showed different levels of efficiency, with up to 33% disparity.