LAPSE:2023.14599
Published Article

LAPSE:2023.14599
Model Supported Business Case Scenario Analysis for Decentral Hydrogen Conversion, Storage and Consumption within Energy Hubs
March 1, 2023
Abstract
Recently, smart energy hubs with hydrogen conversion and storage have received increased attention in the Netherlands. The hydrogen is to be used for vehicle filling stations, industrial processes and heating. The scientific problem addressed in this paper is the proper sizing of capacities for renewable energy generation, hydrogen conversion and storage in relation to a feasible business case for the energy hub while achieving security of supply. Scenario analysis is often used during the early stages of the energy planning process, and for this an easy-to-use analysis model is required. This paper investigates available modelling approaches and develops an algorithmic modelling method which is worked out in Microsoft Excel and offers ease of use for scenario analysis purposes. The model is applied to case study, which leads to important insights such as the expected price of hydrogen and the proper sizing of electrolyser and hydrogen storage for that case. The model is made available open-source. Future work is proposed in the direction of application of the model for other project cases and comparison of results with other available modelling tools.
Recently, smart energy hubs with hydrogen conversion and storage have received increased attention in the Netherlands. The hydrogen is to be used for vehicle filling stations, industrial processes and heating. The scientific problem addressed in this paper is the proper sizing of capacities for renewable energy generation, hydrogen conversion and storage in relation to a feasible business case for the energy hub while achieving security of supply. Scenario analysis is often used during the early stages of the energy planning process, and for this an easy-to-use analysis model is required. This paper investigates available modelling approaches and develops an algorithmic modelling method which is worked out in Microsoft Excel and offers ease of use for scenario analysis purposes. The model is applied to case study, which leads to important insights such as the expected price of hydrogen and the proper sizing of electrolyser and hydrogen storage for that case. The model is made available open-source. Future work is proposed in the direction of application of the model for other project cases and comparison of results with other available modelling tools.
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Keywords
business case analysis, energy hubs, energy modelling, energy planning, hydrogen conversion, renewable energy systems, system integration
Subject
Suggested Citation
van Leeuwen RP, Boerman AE, Schaefer EW, Hoogsteen G, Hajimolana YS. Model Supported Business Case Scenario Analysis for Decentral Hydrogen Conversion, Storage and Consumption within Energy Hubs. (2023). LAPSE:2023.14599
Author Affiliations
van Leeuwen RP: Research Chair Sustainable Energy Systems, Saxion University of Applied Sciences, 7513 AB Enschede, The Netherlands
Boerman AE: Research Chair Sustainable Energy Systems, Saxion University of Applied Sciences, 7513 AB Enschede, The Netherlands
Schaefer EW: Research Chair Sustainable Energy Systems, Saxion University of Applied Sciences, 7513 AB Enschede, The Netherlands [ORCID]
Hoogsteen G: Department of Electrical Engineering, Mathematics and Computer Science, University of Twente, 7522 NB Enschede, The Netherlands
Hajimolana YS: Department of Thermal and Fluid Engineering, University of Twente, 7522 NB Enschede, The Netherlands
Boerman AE: Research Chair Sustainable Energy Systems, Saxion University of Applied Sciences, 7513 AB Enschede, The Netherlands
Schaefer EW: Research Chair Sustainable Energy Systems, Saxion University of Applied Sciences, 7513 AB Enschede, The Netherlands [ORCID]
Hoogsteen G: Department of Electrical Engineering, Mathematics and Computer Science, University of Twente, 7522 NB Enschede, The Netherlands
Hajimolana YS: Department of Thermal and Fluid Engineering, University of Twente, 7522 NB Enschede, The Netherlands
Journal Name
Energies
Volume
15
Issue
6
First Page
2065
Year
2022
Publication Date
2022-03-11
ISSN
1996-1073
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Original Submission
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PII: en15062065, Publication Type: Journal Article
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LAPSE:2023.14599
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https://doi.org/10.3390/en15062065
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Mar 1, 2023
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