Machine learning based modelling and optimization of post-combustion carbon capture process using MEA supporting carbon neutrality-Reference-Cited by-同舟云学术

Machine learning based modelling and optimization of post-combustion carbon capture process using MEA supporting carbon neutrality

Published:2023-09 Issue: Volume:8 Page:100115
ISSN:2772-5081
Container-title:Digital Chemical Engineering
language:en
Short-container-title:Digital Chemical Engineering

Author:

Ashraf Waqar Muhammad^ORCID,Dua Vivek

Funder

UCL

Punjab Educational Endowment Fund

Publisher

Elsevier BV

Subject

Engineering (miscellaneous),Chemical Engineering (miscellaneous)

Reference46 articles.

1. Optimization of a 660 MW e Supercritical Power Plant Performance—A Case of Industry 4.0 in the Data-Driven Operational Management Part 1. Thermal Efficiency;Ashraf;Energies,2020

2. Strategic-level performance enhancement of a 660 MWe supercritical power plant and emissions reduction by AI approach;Ashraf;Energy Convers. Manage.,2021

3. Construction of operational data-driven power curve of a generator by industry 4.0 data analytics;Ashraf;Energies,2021

4. Artificial intelligence enabled efficient power generation and emissions reduction underpinning net-zero goal from the coal-based power plants;Ashraf;Energy Convers. Manage.,2022

5. Artificial intelligence based operational strategy development and implementation for vibration reduction of a supercritical steam turbine shaft bearing;Ashraf;Alexandria Engineering Journal,2022

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