A mixed integer linear programming model for the strategic optimisation of biomass-for-bioenergy supply chains

摘要

This paper addresses the strategic design of the biomass-for-bioenergy (B4B) supply chain with a view to optimise energetic, economical or environmental criteria. This B4B supply chain consists of six key operations: biomass production, harvest, collection, pre-treatment, storage and conversion to bioenergy. All these operations occur at biomass production sites or in facilities connected through transport and transhipment infrastructure. In contrast with other optimisation models, the proposed mixed integer linear programming (MILP) model considers supply chain restrictions, available transportation networks and corresponding interrelationships and interdependencies between operations. The optimisation model selects the optimal location, technology and capacity of storage, pre-treatment and conversion facilities. Simultaneously, the optimal allocation of raw biomass, intermediate products and by-products from production sites to operation facilities and between facilities are defined. The MILP includes three objective functions: (1) maximise total energy output, (2) maximise overall profit and (3) minimise greenhouse gas emissions. The functionalities of the proposed MILP are illustrated by means of a simplified B4B supply chain based on grass and brushwood from low input high diversity biomass systems in the province of Limburg (Belgium). Analysis of the different scenarios confirms the response capacity of the MILP to change in information.