Abstract
Abstract This work presents an optimization approach for the optimal design and operational planning of an urban energy network based on combined heat and power generators. The model is formulated as linear Mixed Integer Programming (MIP) and solved to optimality using standard branch-and-bound techniques. Optimality is assessed in terms of total system cost, while the applicability of the proposed model is illustrated using an illustrative example.
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