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Publication
Predictive model based architecture for energy biomass supply chains tactical decisions
Advisor(s)
Abstract(s)
Renewable sources of energy play a decisive role in the current energetic paradigm
to mitigate climate changes associated with greenhouse gases emissions and problems of energy
security. Biomass energy and in particular forest wood biomass supply chains have the potential
to enhance these changes due to its several bene ts such as ability to produce both bioenergy
and bioproducts, generate energy on-demand, among others. However, this energy source has
some drawbacks mainly associated with the involved costs. In this work, the use of a Model
Predictive Control approach is proposed to plan, monitor and control the wood-biomass supply
chain for energy production at a tactical level. With this methodology the biomass supply chain
becomes more e cient ensuring the service quality in a more competitive way. In order to test
and validate the proposed approach di erent simulation scenarios were considered that proved
the e ciency of the proposed tool regarding the decisions de nition and control.
Description
Keywords
Production planning and control Job and activity scheduling Modelling and control under change Adaptive control-applications Model predictive and optimization-based control
Citation
Pinho, Tatiana M.; Coelho, J. P.; Veiga, Germano; Moreira, António Paulo; Oliveira, Paulo Moura; Boaventura-Cunha, José (2017) Predictive model based architecture for energy biomass supply chains tactical decisions. IFAC-PapersOnLine. ISSN 2405-8963. 50.1, p. 7681-7686.