The utilization of renewable resources poses new challenges to process design. Consumption of renewable raw materials, or feedstock, often encounter limitations and uncertainties that are foreign to the design of processes based on fossil fuels whose availability is presumably uninterruptible. The algorithms and software of the graphtheoretic method based on process graphs (P-graphs) are elaborated for generating optimal and near-optimal supply networks for manufacturing a set of products at certain production levels with given reliabilities. Apparently, the sole currently available approach capable of rigorously and efficiently executing optimal process-network synthesis is that based on the P-graph framework. The approach leads to an algorithmically and mathematically proven solution for all steps involved. Such steps comprise superstructure generation, construction of the mathematical model, optimization, and the solution interpretation. The proposed method is illustrated with an example involving the utilization of renewable feedstock, namely agricultural products, whose uninterrupted availability tends to be uncertain.
ASJC Scopus subject areas
- Chemical Engineering(all)