Optimal production of green hydrogen with grid assistance for enhanced flexibility

Christopher Varela; Mahmoud Mostafa; Edwin Zondervan

doi:10.1016/B978-0-443-15274-0.50464-9

Optimal production of green hydrogen with grid assistance for enhanced flexibility

Christopher Varela, Mahmoud Mostafa, Edwin Zondervan

Sustainable Process Technology

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

1 Citation (Scopus)

Abstract

The use of grid power to compensate for shortages of renewable energy results in higher profit at electrolysis facilities. However, the carbon footprint of hydrogen increases in regions where fossil sources have a significant share in the energy mix. This contribution seeks to balance profit with carbon footprint through mathematical programming. The case study comprises a 100-MW_p wind power plant, and data on electricity price and CO₂-emissions content in the grid, covering a full-year of operation in northern Germany. The results show that the highest profit is attained at maximum load, with a minor influence of the electricity price (<75 €/MWh) and no influence of the CO₂-emissions content of the grid. In this scenario, approximately 50% of the power stems from conventional sources. Therefore, a cost penalty is proposed to the use of fossil power to limit the grid assistance. This further reduces the grid contribution to around 30%, still allowing for a high profit.

Original language	English
Title of host publication	33rd European Symposium on Computer Aided Process Engineering
Publisher	Elsevier
Pages	2917-2922
Number of pages	6
DOIs	https://doi.org/10.1016/B978-0-443-15274-0.50464-9
Publication status	Published - 18 Jul 2023
Event	33rd European Symposium on Computer Aided Process Engineering, ESCAPE 2023 - Athens, Greece Duration: 18 Jun 2023 → 21 Jun 2023 Conference number: 33

Publication series

Name	Computer Aided Chemical Engineering
Volume	52
ISSN (Print)	1570-7946

Conference

Conference	33rd European Symposium on Computer Aided Process Engineering, ESCAPE 2023
Abbreviated title	ESCAPE 2023
Country/Territory	Greece
City	Athens
Period	18/06/23 → 21/06/23

Keywords

Energy transition
green hydrogen
MILP
Power-to-X
NLA

UN SDGs

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

Access to Document

10.1016/B978-0-443-15274-0.50464-9

Cite this

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title = "Optimal production of green hydrogen with grid assistance for enhanced flexibility",

abstract = "The use of grid power to compensate for shortages of renewable energy results in higher profit at electrolysis facilities. However, the carbon footprint of hydrogen increases in regions where fossil sources have a significant share in the energy mix. This contribution seeks to balance profit with carbon footprint through mathematical programming. The case study comprises a 100-MWp wind power plant, and data on electricity price and CO2-emissions content in the grid, covering a full-year of operation in northern Germany. The results show that the highest profit is attained at maximum load, with a minor influence of the electricity price (<75 €/MWh) and no influence of the CO2-emissions content of the grid. In this scenario, approximately 50% of the power stems from conventional sources. Therefore, a cost penalty is proposed to the use of fossil power to limit the grid assistance. This further reduces the grid contribution to around 30%, still allowing for a high profit.",

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Varela, C, Mostafa, M & Zondervan, E 2023, Optimal production of green hydrogen with grid assistance for enhanced flexibility. in 33rd European Symposium on Computer Aided Process Engineering. Computer Aided Chemical Engineering, vol. 52, Elsevier, pp. 2917-2922, 33rd European Symposium on Computer Aided Process Engineering, ESCAPE 2023, Athens, Greece, 18/06/23. https://doi.org/10.1016/B978-0-443-15274-0.50464-9

Optimal production of green hydrogen with grid assistance for enhanced flexibility. / Varela, Christopher; Mostafa, Mahmoud; Zondervan, Edwin.
33rd European Symposium on Computer Aided Process Engineering. Elsevier, 2023. p. 2917-2922 (Computer Aided Chemical Engineering; Vol. 52).

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

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AU - Mostafa, Mahmoud

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PY - 2023/7/18

Y1 - 2023/7/18

N2 - The use of grid power to compensate for shortages of renewable energy results in higher profit at electrolysis facilities. However, the carbon footprint of hydrogen increases in regions where fossil sources have a significant share in the energy mix. This contribution seeks to balance profit with carbon footprint through mathematical programming. The case study comprises a 100-MWp wind power plant, and data on electricity price and CO2-emissions content in the grid, covering a full-year of operation in northern Germany. The results show that the highest profit is attained at maximum load, with a minor influence of the electricity price (<75 €/MWh) and no influence of the CO2-emissions content of the grid. In this scenario, approximately 50% of the power stems from conventional sources. Therefore, a cost penalty is proposed to the use of fossil power to limit the grid assistance. This further reduces the grid contribution to around 30%, still allowing for a high profit.

AB - The use of grid power to compensate for shortages of renewable energy results in higher profit at electrolysis facilities. However, the carbon footprint of hydrogen increases in regions where fossil sources have a significant share in the energy mix. This contribution seeks to balance profit with carbon footprint through mathematical programming. The case study comprises a 100-MWp wind power plant, and data on electricity price and CO2-emissions content in the grid, covering a full-year of operation in northern Germany. The results show that the highest profit is attained at maximum load, with a minor influence of the electricity price (<75 €/MWh) and no influence of the CO2-emissions content of the grid. In this scenario, approximately 50% of the power stems from conventional sources. Therefore, a cost penalty is proposed to the use of fossil power to limit the grid assistance. This further reduces the grid contribution to around 30%, still allowing for a high profit.

KW - Energy transition

KW - green hydrogen

KW - MILP

KW - Power-to-X

KW - NLA

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ER -

Optimal production of green hydrogen with grid assistance for enhanced flexibility

Abstract

Publication series

Conference

Keywords

UN SDGs

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