Artificial Intelligence Modeling-Based Optimization of an Industrial-Scale Steam Turbine for Moving toward Net-Zero in the Energy Sector

Author:

Ashraf Waqar Muhammad1ORCID,Uddin Ghulam Moeen2,Tariq Rasikh34,Ahmed Afaq2,Farhan Muhammad2,Nazeer Muhammad Aarif2,Hassan Rauf Ul2,Naeem Ahmad5,Jamil Hanan2,Krzywanski Jaroslaw6,Sosnowski Marcin6,Dua Vivek1ORCID

Affiliation:

1. The Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, University College London, Torrington Place, London WC1E 7JE, U.K.

2. Department of Mechanical Engineering, University of Engineering & Technology, Lahore, Punjab 54890, Pakistan

3. Facultad de Ingeniería, Universidad Autónoma de Yucatán, Av. Industrias No Contaminantes por Anillo Periférico Norte, Apdo. Postal 150, Cordemex, Mérida, 97203 Yucatán, Mexico

4. Tecnológico Nacional de México/IT de Mérida, Departamento de Sistemas y Computación, Mérida, Mexico

5. Department of Automotive Engineering Technology, Punjab Tianjin University of Technology, Lahore 54000, Pakistan

6. Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, 13/15 Armii Krajowej Av., 42-200 Czestochowa, Poland

Funder

Punjab Educational Endowment Fund

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Reference84 articles.

1. Renewable electricity consumption and economic development: New findings from the Baltic countries

2. IEA. Global Energy Review, Paris. https://www.iea.org/reports/global-energy-review-2021.

3. IEA. Key World Energy Statistics 2021, Paris. https://www.iea.org/reports/key-world-energy-statistics-2021; 2021.

4. Bouckaert, S.; Pales, A. F.; McGlade, C.; Remme, U.; Wanner, B.; Varro, L.; D’Ambrosio, D.; Spencer, T. Net Zero by 2050: A Roadmap for the Global Energy Sector. 2021.

5. Inequality constrained nonlinear data reconciliation of a steam turbine power plant for enhanced parameter estimation

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