Navegando por Assunto "Energy management"

Agora exibindo 1 - 4 de 4

Acesso aberto (Open Access)
Gerenciamento ótimo de um sistema de armazenamento de energia utilizando recozimento simulado
(Universidade Federal do Pará, 2018-01-18) ANGELIM, Jorge Henrique Costa; AFFONSO, Carolina de Mattos; http://lattes.cnpq.br/2228901515752720
This work proposes a method of energy management of a university campus, with a photovoltaic solar generation source and a energy storage system, which are connected to the main grid. The developed method aims to minimize the purchase of energy from the external grid using the Simulated Annealing optimization method. It is considered in the simulations variable energy tariffs according to the period of the day applied by the local utility. The obtained results were satisfactory, since the applied management scheme managed to reduce energy consumption significantly throughout the day, taking advantage of the energy stored at cheaper tariff schedules and greater availability of solar generation at peak times, making a minimum daily cost while it reaches the constraints associated with the problem. The obtained results showed the applicability of the optimization method, through the determination of operating points of the battery bank that maximized the use of available resources
Acesso aberto (Open Access)
Otimização de sistemas híbridos para a eletrificação de minirredes com fontes renováveis: aspectos de projeto, operação e gestão
(Universidade Federal do Pará, 2014-08-08) BLASQUES, Luis Carlos Macedo; PINHO, João Tavares; http://lattes.cnpq.br/0847897516772421
To avoid premature failure of hybrid power systems for electricity generation (HPSEG) and to ensure the continuity of power supply with minimum intervention of users or utilities it is essential to evaluate the design, operation and management of the system correctly. This thesis presents optimization proposals for the stages of design, operation and management of HPSEG in microgrid configuration. An operational strategy is proposed, which aims to optimize the energy dispatch of the system, identifying the best relationship, considering technical and economic aspects, between load supply exclusively via renewable sources and battery bank or exclusively via generator set, and the battery bank being charged only by renewable sources or also by the generator set. An algorithm for sizing HPSEG is also developed, using genetic algorithms and simulated annealing, metaheuristic optimization techniques, aiming to present the best system configuration, in terms of equipment, that result in the best technical and economic feasibility for a given input, defined by the user. Finally, a system management model is proposed, considering tariffing and load control systems with the objective of ensuring an appropriate relationship between energy availability of the generation system and load demand. The operational strategy proposed combines the strategies of discontinued operation of the generator set, the critical load and the optimum contribution of generator to battery charging, and the results show that there is a decrease in the system’s operational costs. Related to the sizing optimization, the proposed algorithm, when compared to other tools for the optimization of HPSEG, presents good results and is suitable for the Brazilian reality. The management model of the system proposes the establishment of consumption and demand limits suitable to the reality of isolated communities supplied by renewable generation systems and, if correctly applied, can help guarantee the system's sustainability.
Acesso aberto (Open Access)
Sistema de gerenciamento de energia como ferramenta de eficiência energética na indústria
(Universidade Federal do Pará, 2015-02-24) SOARES, Gerdson Tanaka; TOSTES, Maria Emília de Lima; http://lattes.cnpq.br/4197618044519148
This work shows the power management as a management tool for Energy Efficiency in Industry by the side of the energy use in the production process of an industry. An important action in the process is to build the interactivity between users and the electricity. It is proposed the implementation of metering devices, control and diagnosis in order to get a better the use of electricity, and with the acquisition of data from these devices allow management to reduce energy consumption and to make the management aiming at energy efficiency. Presents the results of the system proposed in areas with central refrigerating of a plastic products industry to serve the food industry. The present study, has also applied a methodology used as measurement and verification (M & V) to assess the actual percentage of savings achieved after the implementation of energy efficiency measures.
Acesso aberto (Open Access)
SmartLVEnergy: um framework para gestão energética inteligente e descentralizada de sistemas legados de baixa tensão
(Universidade Federal do Pará, 2024-07-11) FERNANDES, Rubens de Andrade; GOMES, Raimundo Cláudio Souza; http://lattes.cnpq.br/4244097441063312; COSTA JÚNIOR, Carlos Tavares da; http://lattes.cnpq.br/6328549183075122
Essential for technological and economic progress, electrical energy requires well-founded solutions and strategies for efficient and sustainable management. Existing consumer units, lacking modern technological resources, need gradual alternatives to optimize energy use, making the most of pre-established resources. In this context, retrofit offers an effective update for these infrastructures. Systematic models and strategies can standardize and ensure the replication of these solutions in different contexts through abstractions known as frameworks. However, there is a lack of frameworks to enable the implementation of systematic retrofit strategies for energy management, especially in the low-voltage energy sector. To fill this gap, this thesis presents the SmartLVEnergy framework, proposed to guide the design of innovative retrofit strategies to modernize legacy low-voltage installations with IoT, AIoT, and distributed computing solutions, optimizing energy management with distributed technological resources and advanced predictive capabilities. The experiments conducted in this thesis are presented in the format of aggregated scientific articles, which contributed to the conception of the SmartLVEnergy framework. As a result, it was possible to implement energy management tools in existing building and industrial scenarios in a systematic manner, based on the premises of the proposed framework. The main focus was the analysis and prediction of the energy demand of the installations and their respective circuits, allowing to anticipate and mitigate demand overrun events of the consumer units, following the guidelines of the Brazilian National Electric Energy Agency. The strategies conceived included the development, use, and integration of sensing, communication, and computing resources, distributed locally, in the cloud, and at the edge, according to the principles of the SmartLVEnergy framework, maximizing the use of existing resources according to the specific needs of each installation. The proposed framework is flexible and allows the integration, expandability, and interoperability of technological solutions across legacy systems, enabling operations according to the peculiarities and resources of each pre-existing context. This versatility confirms the relevance of this work as a robust and sustainable proposal to promote energy efficiency today, especially in legacy low-voltage systems.