Flexible heat exchanger network design of an ethanol processor for hydrogen production. A model-based multi-objective optimization approach

JA Francesconi, DG Oliva, PA Aguirre - international journal of hydrogen …, 2017 - Elsevier
international journal of hydrogen energy, 2017Elsevier
This work addresses the optimal design of a flexible heat exchanger network using model-
based optimization, applied to hydrogen production by means of an ethanol steam reforming
process. High efficiencies are obtained at different hydrogen production levels ranging from
25 to 100% of a nominal output. System structure, heat exchanger sizing, and operation
conditions are simultaneously settled, ensuring both operational feasibility and optimality.
The system involves a reforming reactor, vaporization and reheating equipment …
Abstract
This work addresses the optimal design of a flexible heat exchanger network using model-based optimization, applied to hydrogen production by means of an ethanol steam reforming process. High efficiencies are obtained at different hydrogen production levels ranging from 25 to 100% of a nominal output. System structure, heat exchanger sizing, and operation conditions are simultaneously settled, ensuring both operational feasibility and optimality. The system involves a reforming reactor, vaporization and reheating equipment, combustors, and a heat exchanger network system. A multi-period nonlinear optimization problem (NLP) was formulated to account for the production level distribution. Equipment sizing constraints and structural constraints link the different scenarios. The trade-off between area and efficiency is analyzed using a multi-objective epsilon-constraint approach. Models were developed in the GAMS environment. The resulting solutions, for the maximum area case, maintain alcohol combustion at low levels showing efficiencies around 63% in each operational level. Pareto Optimal diagram shows that a 1% reduction of efficiency allows a 50% decrease in total required heat exchanger area by 50%.
Elsevier
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