Maritime energy optimization for SDG 7: an integrated quantitative framework

Objective To develop and validate a quantitative framework for optimizing maritime renewable energy integration, advancing SDG 7 targets through improved deployment efficiency and socioeconomic impact assessment. Theoretical Framework This research integrates resource optimization theory with sustainable development paradigms, addressing the gap between technical efficiency metrics and SDG 7 implementation. The study establishes explicit connections between maritime energy infrastructure deployment and specific SDG 7 renewable energy expansion targets. Method Statistical analysis of 47 maritime installations (2019–2024) employing a hierarchical optimization modeling approach (η = 0.76), with high-frequency temporal sampling (Δt = 15 min) and fine-resolution spatial analysis (2.5 km 2 grid cells). Technical performance metrics were synthesized with stakeholder assessment data (n = 156) to construct a comprehensive evaluation framework. Results Implementation of the Maritime Energy Integration Index (MEII) demonstrated 27.4% enhanced economic returns (95% CI: 24.2%–30.6%) compared to conventional deployment approaches. Stakeholder analysis revealed strong correlation between optimization implementation and community acceptance (τ = 0.72, p < 0.001). Scale-dependent analysis identified differential performance patterns, with large-scale (>50 MW) and small-scale (<10 MW) installations achieving 28.1% and 28.8% improvements respectively through distinct optimization mechanisms. Implications Findings support integrated optimization approaches in maritime energy deployment, contributing directly to SDG 7 targets through measurable improvements in renewable energy integration efficiency, advancing both theoretical understanding and practical implementation strategies. Originality This study introduces a quantitative framework synthesizing 12 key parameters into a unified optimization metric, bridging technical optimization with sustainable development objectives to advance SDG 7 implementation through enhanced deployment strategies.

Authors

Institutions

Publication Details

Journal
Frontiers in Energy Research
Published
2026-05-01
DOI
https://doi.org/10.3389/fenrg.2026.1710466
Primary Topic
Maritime Transport Emissions and Efficiency
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Maritime energy optimization for SDG 7: an integrated quantitative framework

Khaled Mili
Frontiers in Energy Research
Maritime Transport Emissions and Efficiency
article

Maritime energy optimization for SDG 7: an integrated quantitative framework

Khaled Mili
article en

Abstract

Objective To develop and validate a quantitative framework for optimizing maritime renewable energy integration, advancing SDG 7 targets through improved deployment efficiency and socioeconomic impact assessment. Theoretical Framework This research integrates resource optimization theory with sustainable development paradigms, addressing the gap between technical efficiency metrics and SDG 7 implementation. The study establishes explicit connections between maritime energy infrastructure deployment and specific SDG 7 renewable energy expansion targets. Method Statistical analysis of 47 maritime installations (2019–2024) employing a hierarchical optimization modeling approach (η = 0.76), with high-frequency temporal sampling (Δt = 15 min) and fine-resolution spatial analysis (2.5 km 2 grid cells). Technical performance metrics were synthesized with stakeholder assessment data (n = 156) to construct a comprehensive evaluation framework. Results Implementation of the Maritime Energy Integration Index (MEII) demonstrated 27.4% enhanced economic returns (95% CI: 24.2%–30.6%) compared to conventional deployment approaches. Stakeholder analysis revealed strong correlation between optimization implementation and community acceptance (τ = 0.72, p < 0.001). Scale-dependent analysis identified differential performance patterns, with large-scale (>50 MW) and small-scale (<10 MW) installations achieving 28.1% and 28.8% improvements respectively through distinct optimization mechanisms. Implications Findings support integrated optimization approaches in maritime energy deployment, contributing directly to SDG 7 targets through measurable improvements in renewable energy integration efficiency, advancing both theoretical understanding and practical implementation strategies. Originality This study introduces a quantitative framework synthesizing 12 key parameters into a unified optimization metric, bridging technical optimization with sustainable development objectives to advance SDG 7 implementation through enhanced deployment strategies.

Frontiers in Energy ResearchVol. 14
King Faisal University (SA)
Deanship of Scientific Research, King Faisal University
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Maritime Transport Emissions and Efficiency
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Maritime energy optimization for SDG 7: an integrated quantitative framework — Khaled Mili · Frontiers in Energy Research (2026) | TGRS Research Map | TGRS