Validation of a multi-objective optimization framework for the sizing of pipes in DH Networks

Sizing distribution equipment of a district heating (DH) network is complex yet decisive process to target techno-economic optimality for these systems. This paper describes and validates framework that uses multi-objective optimization support decisions regarding the sizing DH network. A genetic algorithm (NSGA2) employed generate optimal pipe diameters with respect operational investment cost. then validated using an elementary toy problem consisting straight horizontal two-tube network, set identical consumers equally distributed in supplied by unique heat source. We show framework, on aforementioned problem, reaches very good convergence diversity solutions. method compared typical local method. demonstrate significant decrease global cost 40% system simulation take into account interactions inside system.