(347e) Energy Integration for Waste Heat in Industrial Plants through a Metaheuristic-Deterministic Approach
AIChE Annual Meeting
2021
2021 Annual Meeting
Computing and Systems Technology Division
Interactive Session: Systems and Process Design
Tuesday, November 9, 2021 - 3:30pm to 5:00pm
However the main disadvantage when HENs are integrated and modeled with thermal engines for waste heat recovery (i.e., SRC, ORC or AR) is the significant number of assumptions related to the operation of the thermal engines because in deterministic optimization approaches is extremely complicated to involve rigorous thermodynamic models in order to simulate them; this is associated to the highly non-convex mathematical terms, which lead to difficult convergence problems. Therefore, in order to overcome previous limitations, in this work we propose a hybrid optimization approach, which combines metaheuristic and deterministic techniques together with process simulators; this way, thermal engines are properly simulated and the optimization of an entire integrated system between HENs and thermal engines can obtain more accurate results.
Moreover, metaheuristic optimization is established through the MS Excel-VBA-Aspen Plus link to obtain accurate modelling results. Deterministic optimization is implemented in the GAMS platform, where the mathematical formulation is based on a superstructure that considers all 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 flowrate, temperatures, pressures and efficiencies) for each thermal engine. Finally, the results show an increase in the total annual profit of 148%.
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