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Título
Optimization and sensitivity analysis of a multi-product solar grade silicon refinery: Considering environmental and economic metrics.
Autor(es)
Materia
Solar grade silicon refinery
Sensitivity analysis
Eco-Indicator99
Optimization
Clasificación UNESCO
Industria química
Fecha de publicación
2023
Editor
ELSEVIER
Citación
César Eduardo Cortés-Estrada, César Ramírez-Márquez, José María Ponce-Ortega, Juan Gabriel Segovia-Hernández, Mariano Martín, Optimization and sensitivity analysis of a multi-product solar grade silicon refinery: Considering environmental and economic metrics, Chemical Engineering and Processing - Process Intensification, Volume 183, 2023, 109237, ISSN 0255-2701, https://doi.org/10.1016/j.cep.2022.109237. (https://www.sciencedirect.com/science/article/pii/S0255270122004408)
Resumen
[EN]Today, one of the main lines of solar energy development is the creation of environmentally friendly, waste-free
and inexpensive solar grade silicon production technologies. Presently, the main solar grade silicon production
technologies are based on the reduction of silicon hydrogen chloride compounds (trichlorosilane, tetrachlorosilane
and silane). This paper will examine the results of the optimization of a multi-product silicon refinery,
where the objective functions are Profit and Eco-indicator99. Seven scenarios are considered for the work.
The best scenario (S4) showed a tendency to maintain a balance between Profit (98.66 M$/y) and the environmental
indicator Eco99 (6.04 MP/y). Similarly, a sensitivity analysis was carried out by varying the market
prices of each of the products obtained (solar grade silicon, TEOS at different purities, and chlorosilanes) with an
increase of 10% and a decrease of 10%, resulting in multiple production scenarios depending on what the market
dictates. By increasing the cost of solar grade silicon by 10%, the multi-product refinery achieves the highest
profit (151.84 [M$/y] with an environmental impact of 9.8 [MP/y]), and by decreasing the cost of the same
silicon by 10%, the lowest environmental impact is achieved (36 [M$/y] with an environmental impact of 3
[MP/y])
URI
ISSN
0255-2701
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