High efficient and clean utilization of renewable energy for the process of industrial silicon

Rui Xie, Zhengjie Chen, Wenhui Ma, Xiaoyue Wang, Xiaowei Gan, Chenggang Tao and Junyu Qu

Renewable Energy, 2024, vol. 231, issue C

Abstract: In the dual carbon era, innovation is crucial to maintain the vitality of the silicon industry. This study explores the use of waste biomass, specifically coffee husks (CH), as an additive in the industrial silicon smelting process. Energy and exergy analyses were employed to assess the impact of CH addition on actual production, and the gasification reaction performance was analyzed via thermogravimetric experiments. The inclusion of 10 and 15 kg of CH as additives resulted in exergetic energy consumption per ton of silicon of 23.09 and 23.21 MW, respectively, with corresponding exergetic efficiencies of 0.364 and 0.362. These values demonstrated a significant improvement compared with the exergetic energy consumption and efficiency of the wood blocks (WB): 24.19 MW and 0.347, respectively. Two additives CH and BC were added to petroleum coke (PC) and medium-coking coal (MC) respectively, and the effects of the two additives on the properties of the carbon materials were compared. CH addition increased the average reactivity (R) value of PC from 0.4692 to 0.9490 and the comprehensive characteristic index (S) value from 1.4548 to 5.9046. Likewise, it increased the R value of MC from 0.3898 to 0.6275 and the S value from 1.1152 to 2.4497. Moreover, CH addition reduced the activation energy of PC in the coking reaction stage from 239.63 to 110.21 kJ/mol and MC from 142.19 to 112.71 kJ/mol. The lifting effect is better than that of additive WB. Overall, this research expands the scope of biomass energy utilization and opens new avenues for industrial silicon smelting.

Keywords: Exergy efficiency; Industrial silicon; Coffee husk; Biomass energy; Thermogravimetric analysis (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:231:y:2024:i:c:s0960148124009704

DOI: 10.1016/j.renene.2024.120902

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