Bi-objective optimal design of Hydrogen and Methane Supply Chains based on Power-to-Gas systems

被引:21
作者
Carrera, Eduardo
Azzaro-Pantel, Catherine [1 ]
机构
[1] Univ Toulouse, Lab Genie Chim, UPS, INPT,CNRS, Toulouse, France
关键词
Power-to-Gas; Methanation; Hydrogen; MILP; Augmented epsilon constraint; GAMS; Optimization approach; MULTIOBJECTIVE OPTIMIZATION; ENERGY SYSTEM; NETWORK DESIGN; ELECTRICITY; INFRASTRUCTURE; STORAGE; COST; ELECTROLYSIS; OPERATION; DISPATCH;
D O I
10.1016/j.ces.2021.116861
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
This paper presents a methodological design framework for Hydrogen and Methane Supply Chains (HMSC) based on Power-to-Gas (PtG) systems. The novelty of the work is twofold, first considering a specific demand for hydrogen for electromobility in addition to the hydrogen demand required as a feedstock to produce synthetic methane from the methanation process and performing a bi-objective optimization of the HMSC to provide effective support for the study of deployment scenarios. The approach is based on a Mixed Integer Linear Programming (MILP) approach with augmented epsilon constraint implemented in the GAMS environment according to a multi-period approach (2035-2050) with several available energy sources (wind, PV, hydro, national network) for hydrogen production. Carbon dioxide sources stem mainly from methanization and gasification processes. The objectives to be minimized simultaneously are the Total Annual Cost and the greenhouse gas emissions related to the whole HMSC over the entire period studied. (c) 2021 Published by Elsevier Ltd.
引用
收藏
页数:23
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