Optimisation of regional energy supply chains utilising renewables: P-graph approach

Abstract A method for regional energy targeting and supply chains synthesis is presented. A demand-driven approach is applied to assess the feasible ways for transferring energy from renewable sources to customers in a given region. The studied region is partitioned into a number of clusters by using the Regional Energy Clustering (REC) algorithm. The REC targets aim at minimising the system carbon footprint (CFP). Energy supply chain synthesis is performed next within each cluster by using the P-graph framework. The synthesis algorithm generates a maximal structure of all feasible options and optimal structure is obtained by minimising the energy cost and carbon footprint.

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