Otimização energética em sistemas multicombustíveis

Abstract

This work addresses the energy optimization of a multi-fuel system based on environmental and economic paradigms. To address this system, a hybrid (linear/non-linear) multi-objective modeling and optimization via heuristic search is proposed, using the particle swarm strategy from a quantum perspective. In order to support decision-making, a dedicated multi-criteria decision support strategy was also developed, considering specific commercial attributes of the steel industry problem, based on the PROMETHEE method. The tool is applied in three case study scenarios. In general, it allowed for the adoption of non-trivial solutions, which, compared to the initial solution, reflect performance gains, reduced emissions, and increased production, with a consequent financial return from the extra production of electricity. The proposed global tool proved to be of great value for identifying solutions with less environmental impact, making it essential for companies that want to be more efficient and competitive in the market.