This work presents a novel approach
to recover industrial waste
heat and to integrate it into utilities, refrigeration, and electricity
production through the incorporation of heat exchanger networks and
thermal engines (steam Rankine cycle, organic Rankine cycle, and absorption
refrigeration cycle). The solution approach is based on the iteration
between metaheuristic–deterministic optimization strategies.
Metaheuristic optimization is established through the MS Excel-VBA-Aspen
Plus link to obtain accurate modeling results. Deterministic optimization
is implemented in the GAMS platform, where the mathematical formulation
is based on a superstructure that considers all of the energy interconnections
between the heat exchanger network, utilities, and thermal engines.
Furthermore, economic, environmental, and social targets are evaluated.
A case study is presented to show the applicability of the proposed
methodology. The operating conditions obtained are presented (working
fluid flow rate, temperatures, pressures, and efficiencies) for each
thermal engine. Furthermore, the results show an increase in the total
annual profit by 148%.