Novel Approaches to Thermodynamic Optimization in Industrial Processes

Authors

  • Neha Sahu

DOI:

https://doi.org/10.37628/jtck.v9i2.1475

Abstract

Thermodynamic optimization in industrial processes stands as a pivotal pursuit in enhancing efficiency, sustainability, and economic viability. Traditional methodologies have primarily focused on established principles, yet the escalating demands for resource conservation and emissions reduction necessitate innovative strategies. This abstract presents a compendium of novel approaches aimed at revolutionizing thermodynamic optimization in industrial settings. Firstly, the incorporation of advanced machine learning algorithms unveils unprecedented opportunities for predictive modeling and real-time optimization. Harnessing the power of artificial intelligence enables the development of adaptive control systems capable of dynamically adjusting operational parameters to maximize efficiency while adhering to stringent constraints. Secondly, the integration of renewable energy sources and waste heat recovery systems introduces a paradigm shift towards greener industrial practices. By leveraging solar, wind, and geothermal energy alongside innovative heat exchanger designs, industrial processes can significantly reduce reliance on fossil fuels and mitigate environmental impact. Moreover, the utilization of advanced materials and nanotechnology offers a transformative pathway towards enhanced thermodynamic performance. Engineered surfaces and nanostructured materials exhibit superior heat transfer properties, facilitating more efficient heat exchange and enabling the design of compact and lightweight heat exchangers and reactors. Furthermore, the adoption of process intensification techniques, such as microreactors and membrane separation technologies, enables the optimization of process efficiency while minimizing energy consumption and waste generation. These innovative approaches enable the design of modular and scalable systems, offering flexibility and adaptability to evolving industrial requirements. In conclusion, the integration of these novel approaches represents a paradigm shift in thermodynamic optimization, offering unprecedented opportunities for enhancing industrial efficiency, sustainability, and competitiveness in the global landscape. 

References

L. Klemettinen, K. Avarmaa, and D. Sukhomlinov, et al., Recycling of tellurium via copper smelting processes. SN Appl. Sci. 2, 337 (2020). https://doi.org/10.1007/s42452-020-2137-1.

C.O. Iloeje, F. Tesfaye, and A.E. Anderson, Thermodynamic optimization of critical metals processing and recovery: part I. JOM (2021). https://doi.org/10.1007/s11837-020-04534-5.

C.O. Iloeje, F. Tesfaye, and A.E. Anderson, Thermodynamic optimization of critical metals processing and recovery: part I. JOM (2021). https://doi.org/10.1007/s11837-020-04534-5.

W. Sun et al. Material-energy-emission nexus in the integrated iron and steel industry Energy Convers Manag (2020)

W. Sun et al. Material and energy flows of the iron and steel industry: status quo, challenges and perspectives Appl Energy (2020)

Multi-process production occurs in the iron and steel industry, supporting ‘dual carbon’ target: An in-depth study of CO2 emissions from different processes 2024, Journal of Environmental Sciences (China)

Revealing cradle-to-gate CO2 emissions for steel product producing by different technological pathways based on material flow analysis 2024, Resources, Conservation and Recycling.

Techno-economic assessment and exergy analysis of iron and steel plant coupled MEA-CO2 capture process 2023, Journal of Cleaner Production

Biomass use and its implications for bioeconomy development: A resource efficiency perspective for the European countries 2023, Technological Forecasting and Social Change

An integrated framework for energy performance improvement in manufacturing: From mapping to optimization 2023, Journal of Cleaner Production

Fluidized magnetization roasting utilization of refractory siderite-containing iron ore with low gas reduction potential 2023, Advanced Powder Technology

Guo, J.F., Xu, M.T., Cheng, L.: The application of entransy dissipation theory in optimization design of heat exchanger. In: Proceedings of the Fourteenth International Heat Transfer Conference, Washington, DC, USA, 8–13 Aug 2020

Jesper M., Schlosser F., Pag F., Walmsley T.G., Schmitt B., Vajen K. Large-scale heat pumps: Uptake and performance modelling of market-available devices Renew. Sustain. Energy Rev., 137 (2021), Article 110646

DeBoer R., Marina A., Zühlsdorf B., Arpagaus C., Bantle M., Wilk V., Elmegaard B., Corberán J., Benson J. Strengthening industrial heat pump innovation: Decarbonizin industrial heat (2020)

Xu C., Yang H., Yu X., Ma H., Chen M., Yang M. Performance analysis for binary mixtures based on R245fa using in high temperature heat pumps Energy Convers. Manag.: X, 12 (2021), Article 100123

Xu W., Zhao R., Deng S., Zhao L., Mao S.S. Is zeotropic working fluid a promising option for organic rankine cycle: A quantitative evaluation based on literature data Renew. Sustain. Energy Rev., 148 (2021), Article 111267

Abedini H., Vieren E., Demeester T., Beyne W., Lecompte S., Quoilin S., Arteconi A. A comprehensive analysis of binary mixtures as working fluid in high temperature heat pumps Energy Convers. Manage., 277 (2023), Article 116652

Verdnik M., Rieberer R. Influence of operating parameters on the COP of an R600 high-temperature heat pump Int. J. Refrig., 140 (2022), pp. 103-111

Arpagaus C., Bless F., Bertsch S. Theoretical analysis of transcritical HTHP cycles with low gwp hfo refrigerants and hydrocarbons for process heat up to 200 °C Proceedings of the IIR Rankine Conference, IIR (2020)

Calleja-Anta D., Nebot-Andrés L., Catalán Gil J., Sánchez D., Cabello R., Llopis R. Thermodynamic screening of alternative refrigerants for R290 and R600a Results Eng., 5 (2020), Article 100081

Published

2024-07-24

Issue

Section

Articles