Toward smart and sustainable cement manufacturing process: Analysis and optimization of cement clinker quality using thermodynamic and data-informed approaches
Toward smart and sustainable cement manufacturing process: Analysis and optimization of cement clinker quality using thermodynamic and data-informed approaches
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DOI：
10.1016/j.cemconcomp.2024.105436
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发表时间：
2024-01-11
影响因子：
10.5
通讯作者：
Kumar，Aditya
中科院分区：
文献类型：
--
作者：
Goncalves，Jardel P.;Han，Taihao;Kumar，Aditya
水泥制造因其对自然环境的有害影响而受到广泛认可。近年来，人们努力通过使用可再生能源、捕获二氧化碳排放以及用辅助胶凝材料部分替代水泥来提高水泥制造的可持续性。为了进一步提高可持续性，优化水泥制造工艺至关重要。这可以通过预测和优化与原材料化学成分和制造条件相关的熟料相来实现。水泥熟料是通过在窑中加热原材料来生产的，其中原材料成分和加工条件决定了熟料的最终化学成分。本研究利用热力学模拟，根据原材料的化学成分分析阿利特和富含贝利特熟料的相组合，并创建数据库。与实验结果相比，热力学模拟可以准确地再现熟料相。随后，利用模拟数据库来训练基于数据的模型，并使用预测来确定在不同煅烧温度下生产高质量熟料（C3S>50%）的最佳成分域。此外，还研究了最佳石灰饱和系数和氧化铝模量，以实现目标熟料相。总的来说，这项研究证明了使用数据知情方法实现智能和可持续水泥制造过程的潜力。
Cement manufacturing is widely recognized for its harmful impacts on the natural environment. In recent years, efforts have been made to improve the sustainability of cement manufacturing through the use of renewable energy, the capture of CO2emissions, and partial replacement of cement with supplementary cementitious materials. To further enhance sustainability, optimizing the cement manufacturing process is essential. This can be achieved through the prediction and optimization of clinker phases in relation to chemical compositions of raw materials and manufacturing conditions. Cement clinkers are produced by heating raw materials in kilns, where both raw material compositions and processing conditions dictate the final chemical makeup of the clinkers. This study uses thermodynamic simulations to analyze phase assemblages of alite- and belite-enriched clinkers based on chemical compositions of raw materials and to create a database. The thermodynamic simulations can accurately reproduce clinker phases in comparison with experimental results. Subsequently, the simulated database is employed to train a data-informed model, and the predictions are used to determine the optimal composition domains that produce high quality clinker (C3S>50 %) at different calcination temperatures. Additionally, optimal lime saturation factor and alumina modulus are investigated to achieve target clinker phases. Overall, this study demonstrates the potential of using a data-informed approach to achieve smart and sustainable cement manufacturing process.