Proceedings of the International Renewable Energy Storage and Systems Conference (IRES 2023)

Uncertainty Analysis for Power-to-Methanol plant regarding Economic and Flexibility Parameters

Authors
Eero Inkeri1, *, Hossein Enayatizadeh1, Jaakko Hyypiä1, Tero Tynjälä1, Hannu Karjunen1, Nashmin Hosseinpour1
1Schoolf of Energy Systems, LUT university, Lappeenranta, Finland
*Corresponding author. Email: eero.inkeri@lut.fi
Corresponding Author
Eero Inkeri
Available Online 11 July 2024.
DOI
10.2991/978-94-6463-455-6_9How to use a DOI?
Keywords
Power-to-methanol; PtX; methanol; hydrogen; electrolysis; synthesis
Abstract

Power-to-Methanol systems, utilizing renewable energy sources, present a promising solution for achieving sustainable and low-carbon energy systems. This study focuses on investigating the operational flexibility and economic parameters of a PtM system, where hydrogen is produced through water electrolysis and subsequently combined with carbon dioxide to produce methanol. The system is primarily powered by wind and solar energy, with the option to supplement with grid electricity, provided the grid usage remains within the surplus of renewable power as mandated by the rules for renewable fuels of non-biological origin (RFNBO). The main objective of this research is to assess the effects of plant and economic parameters on the operation, cost breakdown, and optimal capacities of the system’s key components, namely the electrolyzer, synthesis unit, and hydrogen storage. Specifically, the study aims to identify dominant parameters that have a significant impact on system capacities and overall operation. Plant flexibility is determined by the availability of part load, storage, and combination of electricity sources. By conducting a comprehensive analysis incorporating technical and economic factors, this study seeks to provide insights into the uncertainties associated with investment decisions. The performance of the optimized plant design is tested by varying inputs such as renewable power and operational costs, allowing for a robust assessment of the system’s viability under different scenarios. Ultimately, this research aims to advance the understanding of the interplay between plant flexibility, economic considerations, and the optimal capacities of PtM systems.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Renewable Energy Storage and Systems Conference (IRES 2023)
Series
Atlantis Highlights in Engineering
Publication Date
11 July 2024
ISBN
978-94-6463-455-6
ISSN
2589-4943
DOI
10.2991/978-94-6463-455-6_9How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Eero Inkeri
AU  - Hossein Enayatizadeh
AU  - Jaakko Hyypiä
AU  - Tero Tynjälä
AU  - Hannu  Karjunen
AU  - Nashmin Hosseinpour
PY  - 2024
DA  - 2024/07/11
TI  - Uncertainty Analysis for Power-to-Methanol plant regarding Economic and Flexibility Parameters
BT  - Proceedings of the International Renewable Energy Storage and Systems Conference (IRES 2023)
PB  - Atlantis Press
SP  - 72
EP  - 85
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-455-6_9
DO  - 10.2991/978-94-6463-455-6_9
ID  - Inkeri2024
ER  -