By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
R. C. Carpio ; University Center of Formiga, UNIFOR-MG, Graduate Program, Av. Dr. Arnaldo de Senna, 328, Zip code 35570-000, Formiga, Minas Gerais, Brazil, Email: ricardo@uniformg.edu.br ; L. dos Santos Coelho

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.

Published in:

2006 IEEE International Conference on Evolutionary Computation

Date of Conference:

0-0 0