Reducing the energy consumption and CO2 emissions of energy intensive industries through decision support systems - An example of application to the steel industry

Applied Energy

Volumn 112, Issue , 2013, Pages 818-833

  Porzio, Giacomo Filippo ^a   Fornai, Barbara ^a   Amato, Alessandro ^a   Matarese, Nicola ^a   Vannucci, Marco ^a   Chiappelli, Lisa ^b   Colla, Valentina ^a  

^a SCUOLA SUPERIORE SANT ANNA   (Italy)

^b Lucchini SpA   (Italy)

Author keywords

Decision support; Energy consumption reduction; Process optimisation; Simulation

Indexed keywords

ARTIFICIAL INTELLIGENCE; BLAST FURNACES; COKE PLANTS; COMPUTER SOFTWARE; COST REDUCTION; DECISION SUPPORT SYSTEMS; ENERGY UTILIZATION; ENVIRONMENTAL IMPACT; GREENHOUSE GASES; HOT ROLLING MILLS; IRON AND STEEL INDUSTRY; PROFITABILITY; STEELMAKING;

CONSUMPTION REDUCTIONS; DECISION SUPPORT TOOLS; DECISION SUPPORTS; DIFFERENT OPERATING CONDITIONS; ENERGY INTENSIVE INDUSTRIES; ENVIRONMENTAL POLICY; PROCESS OPTIMISATION; SIMULATION;

CARBON DIOXIDE;

CARBON DIOXIDE; CARBON EMISSION; COST-BENEFIT ANALYSIS; DECISION SUPPORT SYSTEM; EMISSION CONTROL; ENERGY CONSERVATION; ENERGY EFFICIENCY; ENVIRONMENTAL IMPACT; EUROPEAN UNION; GREENHOUSE GAS; OPTIMIZATION; PREDICTION; PRIMARY SECTOR INDUSTRY; SOFTWARE;

EUROPE;

EID: 84884204458     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2013.05.005     Document Type: Article

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