Optimization and Modeling in the Co-Processing of Wastes in Cement Industry Comprising Cost, Quality and Environmental Impact using SQP, Genetic Algorithm, and Differential Evolution

Nowadays the high degree of the industrial activity as well as the increasing society life standard have been accompanied by a growing waste generation which represents one of the most serious environmental problems. The possibility use of some industrial wastes in the cement production, as an alternative source of secondary raw materials, as well as alternative secondary fuels have been a viable path to reduce the cement industries production cost. The main concerns about the use of these fuels are the effects in the cement performance and the environmental impacts that they can cause. Through an optimization model the influence of these fuels in the cement Portland properties are analyzed. In this model the sequential quadratic programming (SQP), genetic algorithm (GA) and differential evolution (DE) are applied taking account the raw material, fuels cost, clinker quality and the environmental impact, such as the consumption of the energy requested in the grinding for the cement production.