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Conferencia Plenaria Gratuita - Optimización de costos energéticos en tiempo real para la Industria de Procesos

Día, Lugar y Horario

Dias: Inicia el 03/10/2012 y finaliza el 03/10/2012

Lugar: Av. Santa Fe 4201, Buenos Aires, C.A.B.A. C1425BAA, (54 11) 4777-5500.

Horarios: de 14:00 hasta las 15:30hs.

Docentes:
Dr. Carlos Ruiz

Some of the challenges that industrial complexes are facing nowadays in terms of energy management are the complexity of the energy systems (fuels, steam, electricity, water and hydrogen) that are to be operated, lack of reliable measurements, coordination difficulties among plant areas, emissions constraints and/or trading, deregulated markets or going to deregulation, fuels prices volatility, the need to adapt the production targets according to demand and aggressive cost reduction policies. The use of online, real time, energy systems optimizing models to address such a challenges usually result in energy cost savings in the order of 1 to 5%. Such an achievement is based on the daily optimization of the existing assets, providing the process with the requested energy in the cheapest way. The “real time model” is a detailed energy system model which gets the measurements from a Real Time Database (i.e. Plant Information system), validates them, simulate and optimize the operating conditions, based on a defined set of degrees of freedom and constraints. The results of such an optimization are presented in different ways to Operations personnel (i.e. custom reports and graphical views). Such set of “recommendations” are typically applied on a daily or shift basis. The Visual MESA software (Energy management system) is widely used at refineries and petrochemical complexes (Refs. 1 to 14). Visual MESA has been adopted by the leading refiners worldwide and is the first choice in the segment of online energy optimization. At the sites where Visual MESA is in use, the operators always have available a set of recommendations to operate the energy system at the minimum cost under the current site production scenario. The model also acts as a “watch dog” since supervisors can evaluate how operators manage the energy system based on the Key Performance Indicators being generated. The same model used for the online, real time optimization, can also be used in standalone mode, populated either with current or historical data, to perform case studies for planning and engineering or to evaluate alternatives for a better operation of the energy system. Different aspects of the deployment project and use of on-line energy system optimization models in industrial complexes will be described.

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