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Design and techno-economic feasibility study of a hydrogen-powered integrated energy system for cold ironing application [dataset] Open Access

The maritime sector contributes substantially to greenhouse gas emissions, with direct implications for climate change and air quality in port-adjacent communities. This study investigates a hydrogen-powered cold-ironing system for a major international port under variable shore-side power demand. A semi-empirical model integrating a proton exchange membrane electrolyser, a proton exchange membrane fuel cell, hydrogen storage, and battery storage was developed. Techno-economic analysis and multi-objective optimisation were conducted to evaluate the proposed system configurations. Without heat recovery, the hydrogen storage and battery hybrid configurations achieved levelised costs of 0.5172 $/kWh and 0.4969 $/kWh, with exergy efficiencies of 46.44% and 47.43%, respectively. Under the upper-bound heat-recovery case, the corresponding levelised costs were 0.4498 $/kWh and 0.4488 $/kWh, with exergy efficiencies of 47.62% and 46.18%. The preferred configuration also achieves a discounted payback period of 8 years at a 7% discount rate, suggesting potential under the stated modelling assumptions. The results provide a system-level assessment of the proposed configurations under the adopted demand, cost and modelling assumptions.

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Resource type
Dataset
Contributors
Creator: Roy, Dibyendu 1
Contact person: Roy, Dibyendu 1
1 Durham University, UK
Funder
Engineering and Physical Sciences Research Council
Research methods
Modelling
Other description
Keyword
Fuel cell
PEMFC
Electrolyser
Cold ironing
Subject
Fuel cells
Electrolytic cells
Location
Language
Cited in
Identifier
ark:/32150/r14t64gn241
doi:10.15128/r14t64gn241
Rights
Creative Commons Attribution 4.0 International (CC BY)

Publisher
Durham University
Date Created

File Details

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D. Roy
Date Uploaded
Date Modified
5 August 2026, 13:08:43
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File format: vnd.ms-excel (Microsoft Excel 2007+, OpenDocument Text)
Mime type: application/vnd.ms-excel
File size: 13310
Last modified: 2026:08:05 11:30:23+01:00
Filename: DATA_ATE.xlsx
Original checksum: 66b0ea34fb49ba98bb040ccbff5d24df
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