Valentina Colla

Scuola Superiore Sant'Anna, Istituto di Tecnologie della Comunicazione, Informazione e Percezione, Technical Research Manager

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Valentina Colla got her Master degree in Engineering in 1994 and Her Ph.D in Industrial and Information Engineering in 1998. She has been working at Scuola Superiore Sant’Anna since 1995. Her research fields include standard and Artificial Intelligence-based data processing, data mining and machine learning tools and techniques. She is deeply involved in research activities related to modeling, simulation, optimization and control of industrial processes, with a particular focus on manufacturing industry and process industry.

She is active in the field of simulation of complex industrial processes and application of multi-objective optimization techniques aimed at improving resource efficiency and reducing production costs and environmental impact of process industries.
She holds also a considerable expertise on industrial application of robots and CNC machine tools and application of vision systems for control of robots and machine tools in the manufacturing industry.

She has a considerable experience in the iron & steel and in manufacturing fields. She has been involved in more than 63 EU funded projects and in many projects supported by industries. She is coordinator of 6 projects supported by the Research Fund for Coal & Steel.
She is a member of the European Steel Technology Platform (ESTEP) and representative of SSSA in SPIRE.

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Improving energy and resource efficiency of electric steelmaking through simulation tools and process data analyses

Matériaux & Techniques, 2016

The European Steel industry is ever more committed to improve the socioeconomic and environmental... more The European Steel industry is ever more committed to improve the socioeconomic and environmental sustainability of its processes by promoting any development, which can increase resource efficiency and lower the environmental footprint of the steel production. The European Steel Technology Platform gives the highest priority to the topic of Sustainable Steel Production within its Strategic Research Agenda since 2013. Several projects have been developed both at corporate level, as well as by associations of companies and research institutions in order to investigate new processes, retrofit actions and apply innovative combinations of existing technologies that can allow to improve the energy and resource efficiency and the management of by-products, waste and wastewater. However, it is still difficult for process managers and plant engineers to find accessible tools to both analyze the process data and to perform scenario analyses aimed at evaluating in a practical and understandable manner the effect of innovations in terms of new technologies or novel procedures and operative practices. Within the research RFCS project entitled "Environmental Impact Evaluation and Effective Management of Resources in the EAF Steelmaking-EIRES" (where EAF stands for Electric Arc Furnace), an integrated tool has been developed, which allows to evaluate the environmental impact of current operating practices, modified operating conditions and major process variations and innovations, thanks to process simulation models for both production processes and auxiliary equipment. Also a dedicated Life Cycle Assessment (LCA) is linked to the simulation models in order to provide a further evaluation from the specific LCA perspective. The paper is focused on the description of the developed integrated scenario analysis tool, which includes both process modelling and metrics tools, and to depict some examples of its application for process data analyses and scenario simulations.

Valentina Colla

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