Javier Silvente

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Knowledge-based Approach for the Integration of the Planning and Scheduling Decision-making Levels Miguel Zamarripa, Mariana Cóccola, Kefah Hjaila, Javier Silvente, Carlos Méndez, Antonio Espuña* Universitat Politècnica de Catalunya. ETSEIB, Chemical Engineering Department. 647 Diagonal Avenue, 08028 Barcelona (Spain) b INTEC (Universidad Nacional del(More)
This paper analyses the operational decision making procedures required to address the simultaneous management of energy supplies and requests in a microgrid scenario, in order to best accommodate arbitrary energy availability profiles resulting from an intensive use of renewable energy sources, and to extensively exploit the eventual flexibility of the(More)
This paper proposes a framework for the analysis of complex optimization problems under uncertainty. The usual multiparametric programing approach is skipped through the use of metamodels to mimic a set of already solved scenarios. Such framework has been applied to the operation of a bio-based energy supply chain, taking into account economic,(More)
This paper analyses the operational decision making procedures required to address the simultaneous management of energy supplies and requests in a microgrid scenario, in order to best accommodate arbitrary energy availability profiles resulting from an intensive use of renewable energy sources, and to extensively exploit the eventual flexibility of the(More)
The integration of the different hierarchical decision making levels involved within a Chemical Supply Chain is essential for its adequate management in dynamic and competitive markets. Any approach encompassing design issues, planning, coordination and responses to customer demands, requires the consideration of huge amounts of data, which are a valuable(More)
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