Review on energy conservation and emission reduction approaches for cement industry

N Sahoo, A Kumar - Environmental Development, 2022 - Elsevier
Cement production utilizes a considerable amount of energy which is also responsible for
different greenhouse gas emissions. This review aims to help the cement industry to select …

[HTML][HTML] Decarbonising cement and concrete production: Strategies, challenges and pathways for sustainable development

S Barbhuiya, F Kanavaris, BB Das, M Idrees - Journal of Building …, 2024 - Elsevier
This paper provides a comprehensive analysis of decarbonising cement and concrete
production, addressing strategies, technologies, policy considerations, case studies …

Conceptual design and life-cycle environmental and economic assessment of low-carbon cement manufacturing processes

Y Wang, M Yang, F Shen, M Zhou, W Du - Journal of Cleaner Production, 2024 - Elsevier
Cement manufacturing, a fundamental process industry characterized by high CO 2
emissions, sees over 58% of its emissions stemming from the limestone calcination process …

Performance evaluation of artificial intelligence with particle swarm optimization (PSO) to predict treatment water plant DBPs (haloacetic acids)

AI Okoji, CN Okoji, OS Awarun - Chemosphere, 2023 - Elsevier
The prevention of water-borne diseases requires the disinfection of water consumed.
Disinfection by-products, however, are an increasing concern, and they require advanced …

Evaluation of adaptive neuro-fuzzy inference system-genetic algorithm in the prediction and optimization of NOx emission in cement precalcining kiln

AI Okoji, AN Anozie, JA Omoleye, AE Taiwo… - … Science and Pollution …, 2023 - Springer
The increasing demand for cement due to urbanization growth in Africa countries may result
in an upsurge of pollutants associated with its production. One major air pollutant in cement …

[HTML][HTML] Comparative analysis of adaptive neuro-fuzzy inference system (ANFIS) and RSRM models to predict DBP (trihalomethanes) levels in the water treatment …

CN Okoji, AI Okoji, MS Ibrahim, O Obinna - Arabian Journal of Chemistry, 2022 - Elsevier
Since disinfection by-products are a growing concern, it is important to know their quantities
in water treatment plants before they are released to the public. As a result, there is a …

Energy consumption mode identification and monitoring method of process industry system under unstable working conditions

M Zhu, Y Ji, X Zhu, K Ren - Advanced Engineering Informatics, 2023 - Elsevier
Process industry systems under unstable working conditions are prone to potential
anomalies, deviating from the original transition trajectory, and taking longer than expected …

Cement rotary kiln temperature prediction based on time-delay calculation and residual network and bidirectional novel gated recurrent unit multi-model fusion

X Xu, H Yang, K Xu, S Yin, Z Wang, C Zhu, C Song - Measurement, 2023 - Elsevier
China's cement production energy consumption accounts for more than 10% of the country's
total energy consumption, and its emissions account for about 60% of the country's industrial …

Modelling of the effectiveness of integrating additive manufacturing technologies into Petri net-based manufacturing systems

J Patalas-Maliszewska, R Wiśniewski… - … on Fuzzy Systems …, 2022 - ieeexplore.ieee.org
Integrating Additive Manufacturing (AM) technologies into manufacturing systems is
regarded as a potential solution to improve the effectiveness of the production process flow …

Efficiency enhancement and cost reduction in cement clinker production: A comprehensive energy and exergy analysis of a rotary kiln in Turkey

S Özkan, N Acaralı - Thermal Science and Engineering Progress, 2024 - Elsevier
Clinker production in the rotary kiln was one of the most energy-intensive processes in the
cement industry. The application of exergy analysis to cement manufacturing increased …