The assessment of response surface methodology (RSM) and artificial neural network (ANN) modeling in dry flue gas desulfurization at low temperatures-Reference-Cited by-同舟云学术

The assessment of response surface methodology (RSM) and artificial neural network (ANN) modeling in dry flue gas desulfurization at low temperatures

Published:2023-02-09 Issue:3 Volume:58 Page:191-203
ISSN:1093-4529
Container-title:Journal of Environmental Science and Health, Part A
language:en
Short-container-title:Journal of Environmental Science and Health, Part A

Author:

Makomere Robert¹^ORCID,Rutto Hilary¹,Koech Lawrence¹

Affiliation:

1. Clean Technology and Applied Materials Research Group, Department of Chemical and Metallurgical Engineering, Vaal University of Technology, Vanderbijlpark, South Africa

Funder

Eskom Power Plant Engineering Institute (EPPEI).

Publisher

Informa UK Limited

Subject

General Medicine,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10934529.2023.2174334

Reference62 articles.

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2. Denchak, M. Fossil Fuels: The Dirty Facts. 2018.

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4. Atmospheric emissions and pollution from the coal-fired thermal power plants in India

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