Multi‑objective Optimisation of Hydrogen and Methanol‑based Hybrid Power Systems for Service Operation Vessels: A Techno‑economic and Environmental Analysis [dataset]

Yu, Jiacheng (Department of Engineering, Durham University, Durham, DH1 3LE, UK); Zhang, Yuqi (Department of Mechanical Engineering, School of Engineering, University of Birmingham, Birmingham, B15 2TT, UK); Walker, Sara (School of Chemical Engineering, University of Birmingham, Birmingham, B15 2TT, UK); Wu, Dawei (Department of Engineering, Durham University, Durham, DH1 3LE, UK); Farrukh, Salman (Department of Engineering, Durham University, Durham, DH1 3LE, UK)

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Multi‑objective Optimisation of Hydrogen and Methanol‑based Hybrid Power Systems for Service Operation Vessels: A Techno‑economic and Environmental Analysis [dataset] Open Access

Decarbonising offshore-wind service operation vessels (SOVs) requires fuel-pathway choices that balance cost, emissions, and onboard integration. This study develops a bi-level techno-economic and environmental optimisation framework for a 5,000 GT offshore wind farm SOV, coupling NSGA-II architecture sizing with second-by-second rule-based energy management. The three alternative pathways compared are dual-fuel methanol engines (DFME), liquid-hydrogen proton-exchange membrane fuel cells (PEMFC), and methanol-reforming fuel cells (MRFC). The framework minimises capital expenditure, lifecycle operating expenditure, and well-to-wake carbon intensity over a representative 14-day mission profile, with TOPSIS used to select one balanced decision case from each Pareto front. A unified β*/Γ* metric is introduced to quantify the weight reallocation or deck-volume expansion associated with each pathway. Relative to the diesel baseline, the TOPSIS designs reduce well-to-wake carbon intensity by 68.7% for DFME, 83.3% for MRFC, and 93.6% for PEMFC, while increasing lifecycle cost from 29.14 MUSD to 96.89–110.72 MUSD. No pathway is universally dominant across cost, emissions, and integration-related indicators. DFME provides the lowest lifecycle cost and highest technology readiness. MRFC offers the most favourable weight-and-volume fit among the deep-decarbonisation options. PEMFC achieves the largest carbon reduction only when the green-hydrogen production emission factor remains below approximately 2.1 kgCO₂e/kgH₂.

Descriptions

Resource type: Dataset
Contributors: Creator: Yu, Jiacheng ¹
Data collector: Yu, Jiacheng ¹
Data curator: Yu, Jiacheng ¹
Editor: Yu, Jiacheng ¹
Creator: Zhang, Yuqi ²
Creator: Farrukh, Salman ¹
Creator: Walker, Sara ³
Creator: Wu, Dawei ¹
Contact person: Wu, Dawei ¹

¹ Department of Engineering, Durham University, Durham, DH1 3LE, UK
² Department of Mechanical Engineering, School of Engineering, University of Birmingham, Birmingham, B15 2TT, UK
³ School of Chemical Engineering, University of Birmingham, Birmingham, B15 2TT, UK
Funder: Engineering and Physical Sciences Research Council
Research methods
Other description
Keyword
Subject: Hybrid power systems--Research
Offshore wind power plants
Location
Language
Cited in
Identifier: ark:/32150/r27w62f8271
doi:10.15128/r27w62f8271
Rights: Creative Commons Attribution 4.0 International (CC BY)
Publisher: Durham University
Date Created

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Depositor: J. Yu
Date Uploaded: 19 July 2026, 23:07:28
Date Modified: 18 August 2026, 13:08:12
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File size: 35863

Last modified: 2026:08:18 13:12:20+01:00

Filename: dateset.xlsx

Original checksum: d0e28bba7f09251f73c4a019edd786eb

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User J. Yu has updated Multi‑objective Optimisation of Hydrogen and Methanol‑based Hybrid Power Systems for Service Operation Vessels: A Techno‑economic and Environmental Analysis	2 days ago
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