Innovative Multi-Period Heat Exchanger Retrofit with Evolutionary Algorithms

Superstructure overview of the hybrid evolutionary algorithm for multi-objective optimization of a heat exchanger network retrofit

The retrofit of existing plants with multi-period operation is challenging. The periods may experience a high degree of variation (temperatures, mass flow rates, stream existence, etc.). The resulting heat exchanger network needs to be able to ensure feasible heat transfer in each period.

In collaboration with TU-Wien, HSLU-TEVT developed an evolutionary two-level algorithm for multi-period heat exchanger network retrofit that considers practical constraints. The algorithm includes a Pareto optimization to consider greenhouse gas emissions in addition to the total annual cost.

The algorithm has been applied to an industrial case study, reducing greenhouse gas emissions by 50% compared in addition to reducing the total annual cost.

Link:

  • Stampfli, J. (2023). Retrofit for multi-period processes for practical heat exchanger network design [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.116946
Superstructure overview of the hybrid evolutionary algorithm for multi-objective optimization of a heat exchanger network retrofit