Modeling for optimal operation of PEM fuel cells and electrolyzers

Paolo Gabrielli; Ben Flamm; Annika Eichler; Matteo Gazzani; John Lygeros; Marco Mazzotti

doi:10.1109/EEEIC.2016.7555707

Modeling for optimal operation of PEM fuel cells and electrolyzers

Paolo Gabrielli, Ben Flamm, Annika Eichler, Matteo Gazzani, John Lygeros, Marco Mazzotti

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

This contribution presents and analyzes modeling and minimum cost operation of proton exchange membrane (PEM) fuel cells and electrolyzers. First, detailed thermoelectric models of the electrochemical technologies based on a first-principle approach are presented. Then, as the detailed nonlinear models developed are intractable for use in online optimal control computation, a mixed integer linear program (MILP) is formulated with a piecewise affine approximation of the conversion efficiency and linear temperature dynamics for the devices. The outputs of the simplified linear models are compared with the detailed ones, when optimally producing and consuming a fixed quantity of hydrogen gas. Comparisons are performed for a variety of price scenarios and efficiency approximations, for both the fuel cell and electrolyzer.

Original language	English
Title of host publication	2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)
Publisher	IEEE
ISBN (Electronic)	9781509023202
DOIs	https://doi.org/10.1109/EEEIC.2016.7555707
Publication status	Published - 29 Aug 2016
Externally published	Yes
Event	16th International Conference on Environment and Electrical Engineering, EEEIC 2016 - Florence, Italy Duration: 7 Jun 2016 → 10 Jun 2016

Conference

Conference	16th International Conference on Environment and Electrical Engineering, EEEIC 2016
Country/Territory	Italy
City	Florence
Period	7/06/16 → 10/06/16

Keywords

Control
Electrolyzers
Energy management
Fuel cells
Hydrogen storage
Modeling
Optimization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/EEEIC.2016.7555707

Cite this

@inproceedings{9615a45b6db34a4b9fdc480ea7c9419e,

title = "Modeling for optimal operation of PEM fuel cells and electrolyzers",

abstract = "This contribution presents and analyzes modeling and minimum cost operation of proton exchange membrane (PEM) fuel cells and electrolyzers. First, detailed thermoelectric models of the electrochemical technologies based on a first-principle approach are presented. Then, as the detailed nonlinear models developed are intractable for use in online optimal control computation, a mixed integer linear program (MILP) is formulated with a piecewise affine approximation of the conversion efficiency and linear temperature dynamics for the devices. The outputs of the simplified linear models are compared with the detailed ones, when optimally producing and consuming a fixed quantity of hydrogen gas. Comparisons are performed for a variety of price scenarios and efficiency approximations, for both the fuel cell and electrolyzer.",

keywords = "Control, Electrolyzers, Energy management, Fuel cells, Hydrogen storage, Modeling, Optimization",

author = "Paolo Gabrielli and Ben Flamm and Annika Eichler and Matteo Gazzani and John Lygeros and Marco Mazzotti",

year = "2016",

month = aug,

day = "29",

doi = "10.1109/EEEIC.2016.7555707",

language = "English",

booktitle = "2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)",

publisher = "IEEE",

address = "United States",

note = "16th International Conference on Environment and Electrical Engineering, EEEIC 2016 ; Conference date: 07-06-2016 Through 10-06-2016",

}

Gabrielli, P, Flamm, B, Eichler, A, Gazzani, M, Lygeros, J & Mazzotti, M 2016, Modeling for optimal operation of PEM fuel cells and electrolyzers. in 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)., 7555707, IEEE, 16th International Conference on Environment and Electrical Engineering, EEEIC 2016, Florence, Italy, 7/06/16. https://doi.org/10.1109/EEEIC.2016.7555707

TY - GEN

T1 - Modeling for optimal operation of PEM fuel cells and electrolyzers

AU - Gabrielli, Paolo

AU - Flamm, Ben

AU - Eichler, Annika

AU - Gazzani, Matteo

AU - Lygeros, John

AU - Mazzotti, Marco

PY - 2016/8/29

Y1 - 2016/8/29

N2 - This contribution presents and analyzes modeling and minimum cost operation of proton exchange membrane (PEM) fuel cells and electrolyzers. First, detailed thermoelectric models of the electrochemical technologies based on a first-principle approach are presented. Then, as the detailed nonlinear models developed are intractable for use in online optimal control computation, a mixed integer linear program (MILP) is formulated with a piecewise affine approximation of the conversion efficiency and linear temperature dynamics for the devices. The outputs of the simplified linear models are compared with the detailed ones, when optimally producing and consuming a fixed quantity of hydrogen gas. Comparisons are performed for a variety of price scenarios and efficiency approximations, for both the fuel cell and electrolyzer.

AB - This contribution presents and analyzes modeling and minimum cost operation of proton exchange membrane (PEM) fuel cells and electrolyzers. First, detailed thermoelectric models of the electrochemical technologies based on a first-principle approach are presented. Then, as the detailed nonlinear models developed are intractable for use in online optimal control computation, a mixed integer linear program (MILP) is formulated with a piecewise affine approximation of the conversion efficiency and linear temperature dynamics for the devices. The outputs of the simplified linear models are compared with the detailed ones, when optimally producing and consuming a fixed quantity of hydrogen gas. Comparisons are performed for a variety of price scenarios and efficiency approximations, for both the fuel cell and electrolyzer.

KW - Control

KW - Electrolyzers

KW - Energy management

KW - Fuel cells

KW - Hydrogen storage

KW - Modeling

KW - Optimization

UR - http://www.scopus.com/inward/record.url?scp=84988410890&partnerID=8YFLogxK

U2 - 10.1109/EEEIC.2016.7555707

DO - 10.1109/EEEIC.2016.7555707

M3 - Conference contribution

AN - SCOPUS:84988410890

BT - 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)

PB - IEEE

T2 - 16th International Conference on Environment and Electrical Engineering, EEEIC 2016

Y2 - 7 June 2016 through 10 June 2016

ER -

Modeling for optimal operation of PEM fuel cells and electrolyzers

Abstract

Conference

Keywords

UN SDGs

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