Improved Process Control (Neural Networks)Costs & Benefits
|Parent Process: Electric Arc Furnace|
|Energy Savings Potential||
Electricity savings of 30 kWh/t-steel are estimated, and values may change based on scrap and furnace characteristics. (APP, 2010. p. 79)
|CO2 Emission Reduction Potential||
Emissions reduction potential of the technology is 17.6 kg CO2/t-steel (US EPA, 2010. p.11).
Improved Process Control (Neural Networks) Publications
The U.S. Environmental Protection Agency’s (EPA) energy guide, Energy Efficiency Improvement and Cost Saving Opportunities for the U.S. Iron and Steel Industry, discusses energy efficiency practices and technologies that can be implemented in iron and steel manufacturing plants. This guide provides current real world examples of iron and steel plants saving energy and reducing cost and carbon dioxide emissions.
The State–of-the-Art Clean Technologies (SOACT) for Steelmaking Handbook is developed as part of the Asia-Pacific Partnership on Clean Development and Climate program and seeks to catalog the best available technologies and practices to save energy and reduce environmental impacts in the steel industry. Its purpose is to share information about commercialized or emerging technologies and practices that are currently available to increase energy efficiency and environmental performance.