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Our analysis of literature has shown that the
genericity of proposed models is still insufficient.
Very few can cope simultaneously with several
types of biomass, a multi-period horizon, strategic
and tactical decisions. We are also surprised by a
majority of articles that neglect storage nodes,
contrary to our model.
Moreover, most authors belong to laboratories of
agriculture, chemistry or energy. Their models are
often solved on small instances, using commercial
software. OR scientists can contribute to the field by
designing dedicated methods based on relaxation or
metaheuristics to solve larger instances in acceptable
running times, and by designing more advanced
models which could incorporate further criteria such
as economic, environmental and social measures,
and further features as uncertainty and sustainability
issues. The next step of our work is to enrich our
model to make it more generic and scalable, and to
study decomposition techniques, relaxation methods,
and a metaheuristic for large problems.
ACKNOWLEDGEMENTS
This work was carried out, in partnership with the
SAS PIVERT, in the frame of the French Institute of
Excellence in the field of Low-Carbon Energies
(IEED) PIVERT (www.institut-pivert.com) selected
as an Investment for the Future ("Investissements
d’Avenir"). This work was supported, as part of the
Investments for the Future, by the French
Government under the reference ANR-001.
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