Multi-objective retrofit of process supply networks applied to the
production of aluminum
Tea Jazbeca, Marko Homšaka, Zdravko Kravanjab
Talum Inštitut d.o.o., Tovarniška cesta 10, SI-2325, Kidričevo, Slovenia
tea.jazbec@gmail.com
bFaculty of Chemistry and Chemical Engineering, University of Maribor, Smetanova ulica 17, SI-2000,
Maribor, Slovenia
a
Aluminum production sector in Europe and elsewhere is under constant
pressure to upgrade its energy utilization and efficiency in order to improve its
economic prospective and environmental footprints.
The aim of this contribution is i) to present a methodology for multi-objective
retrofit of industrial supply networks in general and ii) to apply it to an existing
aluminum production process (company Talum d.d.).
The methodology based on mixed-integer programming (MIP) and process
integration (PI) examines key technologies for reducing CO2 emissions, as proposed
by OECD/IEA in the BLUE Map scenario (1). As a result, company’s energy
utilization and efficiency are optimized, which enables its transformation towards an
environmentally friendly company whilst simultaneously maximizing its economic
viability. The methodology applies concepts of heat/ energy recovery and Total Site
integration, utilization of renewable resources, and switching to other fuels. Besides,
a new concept of raw material and product portfolio alteration is also proposed in
order to achieve further reduction of CO2 emissions.
In the case of aluminum production processes we have examined a possibility
to enhance the recycling of used aluminum in order to reduce the production of
primary aluminum, thereby significantly reducing the consumption of electricity.
Based on the outcome of the study, the production of alternative aluminum products
will be proposed, and the impact of the transition to a greater share of secondary
aluminum will be investigated with respect to Total Site optimization and energy selfsufficiency maximization. Principles for new aluminum industry guidelines for
environmentally friendly production will thus be proposed.
Key words: mathematical programming, process optimization, renewable resources,
aluminum production, multi-objective optimization
1. OECD/IEA. Energy Technology Perspectives 2010, Scenarios & Strategies to
2050, http://www.iea.org/techno/etp/etp10/English.pdf (accessed 18.12.2012)