A novel framework for integrated energy optimization of a cement plant: An industrial case study. (October 2019)

• Record Type: Journal Article
• Authors: Zhang, Weiping; Maleki, Akbar; Khajeh, Morteza Gholipour; Zhang, Yifeng; Mortazavi, Seyed Mostafa; Vasel-Be-Hagh, Ahmad
• Is Part Of: Sustainable energy technologies and assessments. Volume 35(2019)
• Page Start: 245
• Page End: 256
• Publication Date: 2019-10
• Subjects: Energy audit -- Cement industry -- Optimization -- Quality of cement -- Decision-making procedure; Renewable energy sources -- Periodicals; Energy development -- Technological innovations -- Periodicals; Electric power production -- Periodicals; Energy storage -- Periodicals; 333.79
• DOI: 10.1016/j.seta.2019.06.001
• Languages: English
• ISSNs: 2213-1388

Abstract

Highlights: A model for integrated energy optimization of cement plants is introduced. Temperature, dimensions, raw materials, and the product of a plant were optimized. A decision-making procedure is proposed for energy management system. Energy usage of a cement plant is reduced by optimizing the compounds of clinker. The proposed methodology can efficiently increase the annual revenue. Abstract: Cement production is considered as one of the most energy consuming industries. Any novel strategy to make cement plants more efficient would increase the annual revenue while significantly reducing local and global emissions. In this paper, an energy audit in a cement plant (Kerman, Iran) is presented in order to introduce more viable potential solutions to push this industry towards a more sustainable status. Various parameters, such as temperature and system dimensions, were measured, and raw materials and product analyses were conducted. Then, using the measured and analyzed data, an energy balance analysis was performed. A novel framework based on a well-known global optimizer algorithm and a multi-criteria decision method is presented for integrated energy optimization. This proposed framework is then tested for the audited cement plant at two major steps. First, an efficient metaheuristic optimization approach is employed to optimize the compounds of clinker to reduce the consumption of energy in the cement industry. Second, a decision-making procedure, namely analytic hierarchy process, is used to make right decisions to reduce energy losses after completing an energy audit program. Results of the present study indicate the effectiveness of the proposed framework based on metaheuristic algorithm and decision-making approach.