Abstract
This contribution presents a dynamic multi-objective synthesis of companies’ supply-networks for improving companies’ energy-supplies and environmental impacts by integrating renewables (biomass and other waste, and solar energy), based on Mixed-Integer Linear Programming (MILP).
The previously developed model for achieving energy self-sufficiency by integrating renewables into companies’ supply networks (Kiraly et al., 2013a) has been extended for the usage of variable supply and demand. In the case of variable supply, monthly durations of sunlight hours regarding different locations have been taken into account and, therefore, electricity production differs according to time and space. In the case of variable demand, monthly variations have been taken into consideration regarding demands for the more important products.
For evaluating the sustainability of the companies’ supply networks, different environmental footprints, such as carbon, water, and nitrogen footprints have been included (Kiraly et al., 2013b). An approach measuring the environmental footprints within an LCA-based synthesis was carried-out by considering the total-effects (burdening and unburdening) on the environment (Cucek et al., 2012).
