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

被引:14
|
作者
Francesconi, Javier A. [1 ]
Oliva, Diego G. [2 ]
Aguirre, Pio A. [2 ,3 ]
机构
[1] UNGS, CONICET, Inst Ind, JM Gutierrez 1150,B1613GSX, Los Polvorines, Buenos Aires, Argentina
[2] UTN, CONICET, INGAR Inst Desarrollo & Diseno, Avellaneda 3657,S3002GJC, Santa Fe, Argentina
[3] UNL, Dept Matemat, FIQ, Santiago del Estero 2829, RA-3000 Santa Fe, Argentina
关键词
Ethanol processor; Energy efficiency; Flexible heat exchanger network; Hydrogen; FUEL-CELL SYSTEMS; PORTABLE POWER-GENERATION; THERMODYNAMIC ANALYSIS; MULTIPERIOD OPERATION; ENERGY EFFICIENCY; INTEGRATION; STRATEGIES; BIOMASS; PEMFC;
D O I
10.1016/j.ijhydene.2016.10.156
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
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%. (C) 2016 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:2736 / 2747
页数:12
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