LIFE CYCLE MANAGEMENT OF A TECHNOLOGICAL COMPLEX FOR SEPARATING MULTICOMPONENT MIXTURES UNDER CONDITIONS OF UNCERTAINTY OF PARAMETERS

Authors

Yusuf Shodievich Avazov, Tashkent State Technical University. Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan. E-mail: yusufbek_avazov@mail.ru, Phone: +998946126708.Follow

Abstract

The issue of control the lifecycle of technological complexes of multicomponent mixtures is considered, taking into account the uncertainty of parameters. Among uncertainties such as parameter uncertainty, model uncertainty, choice uncertainty under variability, spatial variability uncertainty, temporal variability uncertainty, inter-site variability uncertainty, more attention is paid to input parameter uncertainty and action uncertainty. The rectification technology is schematically presented, the influence of parameter uncertainty on the technological functions of the rectification complex. The scheme analyzes the control and assessment of “uncertainty” to repeat the lifecycle of the rectification complex and make changes to the components of the rectification complex technology. It is emphasized that the lifecycle is repeated until the uncertainty of the parameter becomes manageable. It is argued that when uncertainties become real uncertainty, that is, when they become impossible to control, it is necessary to make changes to any components of a complex technology. When the technological component changes, the control starts working again based on a new paradigm of internal and external circuits. The possibility of using the Monte Carlo method for the analysis and estimation of the uncertainty of input parameters is presented. In the analysis of the uncertainties of the input parameters, the simplification of the selection process and the probability density functions were used. Deviations from the normal distribution were represented by a matrix transformation. The technological function of the rectification complex is presented in an expanded form, the uncertainty of parameters and control actions are highlighted separately. The influence of the uncertainty of actions and the uncertainty of input parameters on the functions performed by the technological complex, the functions of planning and coordination is analyzed. It is argued that the impact of parameter uncertainty on these functions has a direct impact on the state of the complex in its lifecycle.

First Page

79

Last Page

83

References

1. Mark, A.J. Huijbregts (1998). Application of Uncertainty and Variability in LCA. Part I: A General Framework for the Analysis of Uncertainty and Variability in Life Cycle Assessment. Int. J. LCA. 3(5). 273-280.
2. Angelica Mendoza Beltran, Valentina Prado, David Font Vivanco, Patrik J.G. Henriksson, Jeroen B. Guinée, Reinout Heijungs. (2018). Quantified Uncertainties in Comparative Life Cycle Assessment: What Can Be Concluded? Environ. Sci. Technol., 52, 2152-2161. DOI: 10.1021/acs.est.7b06365.
3. Yusupbekov, N., Igamberdiev, H., Mamirov, U. (2021). Stable algorithms for adaptive control and adaptation of uncertain dynamic objects based on reference models. CEUR Workshop Proceedings, 2965. 296-302.
4. Yusupbekov, N., Igamberdiev, H., Mamirov, U. (2022). Algorithms for Robust Stabilization of a Linear Uncertain Dynamic Object Based on an Iterative Algorithm. Lecture Notes in Networks and Systems, 307. 225-232. doi 10.1007/978-3-030-85626-7_28.
5. Chun-Youl Baek, Kiyotaka Tahara, Kyu-Hyun Park. (2018). Parameter Uncertainty Analysis of the Life Cycle Inventory Database: Application to Greenhouse Gas Emissions from Brown Rice Production in IDEA. Sustainability, 10, 922. doi:10.3390/su10040922.
6. Maurice, B., Frischknecht, R., Coelho-Schwirtz, V., Hungerbhler, K. (2000). Uncertainty analysis in life cycle inventory. Application to the production of electricity with French coal power plants. J. Clean. Prod., 8. 95-108.
7. Baek, C.Y., Park, K.H., Tahara, K., Chun, Y.Y. (2017). Data Quality Assessment of the Uncertainty Analysis Applied to the Greenhouse Gas Emissions of a Dairy Cow System. Sustainability. 9. 1676.
8. Avazov, Yu.Sh. (2021). Governance Model the Stochastic Process of Rectification of Multicomponent Mixtures Based on Fuzzy Logic. Advances in Intelligent Systems and Computing. 1323, 364-376. https://doi.org/10.1007/978-3-030-68004-6_48.

Recommended Citation

Avazov, Yusuf Shodievich (2023) "LIFE CYCLE MANAGEMENT OF A TECHNOLOGICAL COMPLEX FOR SEPARATING MULTICOMPONENT MIXTURES UNDER CONDITIONS OF UNCERTAINTY OF PARAMETERS," Chemical Technology, Control and Management: Vol. 2023: Iss. 6, Article 13.
DOI: https://doi.org/10.59048/2181-1105.1532