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Considering biomass growth and regeneration in the optimisation of biomass supply chains

Annelies De Meyer, Dirk Cattrysse and Jos Van Orshoven

Renewable Energy, 2016, vol. 87, issue P2, 990-1002

Abstract: This paper presents t-OPTIMASS, a multi-period mixed integer linear programming model to optimise strategic and tactical decisions in all kinds of biomass supply chains taking into account the geographical fragmentation and temporal availability of biomass and changing biomass characteristics due to handling operations. Unlike existing models, t-OPTIMASS considers the growth and regeneration of biomass to determine the optimal harvesting moment(s). t-OPTIMASS is demonstrated based on the use of grass from nature reserves and road verges to substitute maize in the digestion mixture converted in the currently available wet anaerobic digesters or potential dry anaerobic digesters in Limburg (Belgium).

Keywords: Multi-period MILP; Bioenergy; Growth cycle; Regeneration; Seasonal availability; OPTIMASS (search for similar items in EconPapers)
Date: 2016
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Handle: RePEc:eee:renene:v:87:y:2016:i:p2:p:990-1002