A superstructure-based approach for integrating work-heat within
hydrogen allocation network
Abstract
The use of hydrogen gases has expanded significantly in chemical
industry due to its contribution to the decarbonization. The
temperatures and pressures of hydrogen gases should be managed to
satisfy the different hydrogen consumers that leads to considerable
energy consumption. Such a serious challenge highlights the importance
of work-heat integration for energy savings of hydrogen networks.
Towards this end, a superstructure-based method is proposed for the
work-heat integration specific to hydrogen allocation network, wherein
the complex thermophysical properties of hydrogen are represented via an
accurate surrogate model derived from the data of process simulation. To
perform the optimal design of the system, a mixed integer nonlinear
programming model is formulated to reflect all considered work-heat
interactive relationship and constraints in hydrogen networks. Two
examples are studied. 10.8% reduction in the net power consumption and
44.3% decrease in the total annual cost have shown the superiority of
the proposed method.