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Advances in Concrete Construction Volume 18, Number 1, July 2024 (Special Issue) pages 43-54 DOI: https://doi.org/10.12989/acc.2024.18.1.043 |
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Enhancing energy conservation and CO2 emission reduction by optimizing cement clinker production line with aggregate composition |
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Yuedong Shi
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| Abstract | ||
| According to major part of the energy-intensive manufacture of cement clinker, the cement sector contributes significantly to global CO2 emissions. Previous experiments that have already been done on the subject of reducing CO2 emissions and conserving energy during the production of cement clinker typically overlook the possibility of improving aggregate composition as a means of achieving these goals. While process efficiency is the main focus of current techniques, a thorough investigation of how raw material composition can further boost sustainability is lacking. This work presents a novel strategy for enhancing energy efficiency and lowering CO2 emissions at the same time through aggregate composition optimization. This double gain has the potential to greatly advance cement industry sustainability initiatives. We examined the data set of cement the clinkers. Recycling cement was thought to use as little as 60%-76% of the energy used to produce clinker and emit less carbon dioxide. We proposed an optimal strategy based on the genetic programming with dynamic fuzzy system ensemble and Convolutional Neural networks (GP-DMFSE-CNN) are used to construct prediction models, which are subsequently refined through the application of one-year operation data, focusing attention to a cement clinker production process. To evaluate the suggested solution works in terms of efficiency, employee | ||
| Key Words | ||
| aggregate composition; cement clinker production; CO2 emission; energy conservation; genetic programming with dynamic fuzzy system ensemble and convolutional neural networks (GP-DMFSE-CNN) | ||
| Address | ||
| Energy Conservation Office of Nantong First People's Hospital, Nantong, 226006, Jiangshu, China. | ||
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