Modeling of Energy Consumption and Reduction of Pollutant Emissions in a Walking Beam Furnace Using the Expert Method—Case Study
This paper presents an algorithm for modeling electricity and natural gas consumption in a walking furnace with the use of artificial intelligence and simulation methods, depending on the length of the rolling campaign and the established rolling program. This algorithm is the basis for the developm...
Main Authors: | Mariusz Niekurzak, Jerzy Mikulik |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-12-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/14/23/8099 |
Similar Items
-
Assessment of the Impact of Wear of the Working Surface of Rolls on the Reduction of Energy and Environmental Demand for the Production of Flat Products: Methodological Approach
by: Mariusz Niekurzak, et al.
Published: (2022-03-01) -
Formation of thermal oxide scale and its adhesion to hot-rolled low carbon steels with different final strip thicknesses
by: Naipinij Sun, et al.
Published: (2022-01-01) -
Reduction of energy and fuel consumption in the hot-rolling steel sector
by: Gulvir Singh, et al.
Published: (2023-12-01) -
Effect of Rolling Reduction and Temperature on the Oxide Scale of Hot Rolled Mild Steel Strip
by: Huiquan Han, et al.
Published: (2019-11-01) -
Chatter prevention in stands of continuous cold rolling mills
by: A. Kozhevnikov, et al.
Published: (2020-01-01)