2017
DOI: 10.1016/j.apenergy.2017.06.088
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Quantification of energy and environmental impacts in uncommon electric steelmaking scenarios to improve process sustainability

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Cited by 19 publications
(5 citation statements)
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References 26 publications
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“…For example, Molina‐Moreno, Núñez‐Cacho Utrilla, Cortés‐García, and Peña‐García (2018) focus on new perspectives of smart design for public lighting management. This energy valorisation has also been investigated by Matino, Colla, and Baragiola (2017) analysing the energy use of steel‐producing industries. Another element present in the results of professionals but which finds in the academic world a feasible model is the strategy of intelligent control of greenhouse gas (GHG) emissions.…”
Section: Resultsmentioning
confidence: 98%
“…For example, Molina‐Moreno, Núñez‐Cacho Utrilla, Cortés‐García, and Peña‐García (2018) focus on new perspectives of smart design for public lighting management. This energy valorisation has also been investigated by Matino, Colla, and Baragiola (2017) analysing the energy use of steel‐producing industries. Another element present in the results of professionals but which finds in the academic world a feasible model is the strategy of intelligent control of greenhouse gas (GHG) emissions.…”
Section: Resultsmentioning
confidence: 98%
“…In addition, Key Performance Indicators (KPIs) can be used for monitoring gas management efficiency, and for defining overall economic and environmental objectives [36]. Simulation tools based on KPIs assessment and Aspen Plus ® models [37,38] can be applied for improving the sustainability of Electric Arc Furnace (EAF)-based steel production [39]. The mineral sector is also committed to reduce energy consumption in its production processes, to promote EE initiatives [40] and to increase the use of renewable energy sources [41].…”
Section: Energy Efficiencymentioning
confidence: 99%
“…All data inputs (8,10,11) are known except for (3) and the secondary slag (SSLAG). The former is calculated by assuming this to be the same as (5), i.e.…”
Section: Process-level Calculationsmentioning
confidence: 99%