A Conceptual Framework for an Innovative Hybrid Ocean Energy Harvesting Technology: Harnessing Waves, Tides, Thermal Gradients, and Salinity for Sustainable, Stable, and Cost-Effective Electricity Generation
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2025
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| author | shibah, Sami Rashid Mohammed |
| author_facet | shibah, Sami Rashid Mohammed |
| contents | <p>This paper presents a rigorous conceptual framework for a hybrid ocean energy harvesting system (HOEHS) that integrates wave, tidal, closed-cycle ocean thermal energy conversion (OTEC), and salinity gradient (blue) energy technologies, integrated with reverse osmosis (RO) desalination for salinity sourcing. Leveraging bio-inspired nanomaterials for corrosion and biofouling mitigation in hypersaline environments, AI-driven reinforcement learning (RL) control with a multi-objective function optimizes net power output, minimizes structural stress, and ensures grid stability. Multi-physics modeling incorporates advanced derivations for coupled energy flux, stochastic wave spectra, net OTEC accounting for 35% parasitic losses, and hybrid efficiency η_HOEHS > 30%. A reproducible Python simulation, verified via numerical integration against ECMWF reanalysis data, projects mean power of 5.1 kW and capacity factor (CF) of 25.4% under Red Sea conditions (H_s ~ 0.5-1.5 m, ΔT=12°C, ΔS=70 psu), incorporating dynamic variations in tidal cycles, seasonal thermal gradients, and wave statistics with FSI corrections. Supported by Monte Carlo sensitivity analysis (σ_P / μ_P = 12%), Gaussian process-based Bayesian inference for parameter posterior estimation (MAP H_s=0.9 m, 95% CI: 0.7--1.1 m), epistemic uncertainty quantification via KL divergence (0.12 nats), and model form uncertainty assessment via ensemble CFD-BEM comparisons (bias <5%). Popperian falsifiability criteria (reject if CF <20% at p<0.05). Red Sea-specific environmental mitigations include deep OTEC discharge and nanomaterial coatings. Grid integration via unified power converters and hydraulic storage ensures IEEE 1547 compliance. A phased roadmap projects LCOE <$0.10/kWh by 2035, driven by 30% OPEX reductions from predictive AI maintenance and durable composites. This framework advances sustainable ocean energy, addressing intermittency with unprecedented depth and precision, extendable to Gulf of Aden applications, with potential to unlock 2--4 TW global ocean renewables for decarbonization.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17635265 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
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| spellingShingle | A Conceptual Framework for an Innovative Hybrid Ocean Energy Harvesting Technology: Harnessing Waves, Tides, Thermal Gradients, and Salinity for Sustainable, Stable, and Cost-Effective Electricity Generation shibah, Sami Rashid Mohammed <p>This paper presents a rigorous conceptual framework for a hybrid ocean energy harvesting system (HOEHS) that integrates wave, tidal, closed-cycle ocean thermal energy conversion (OTEC), and salinity gradient (blue) energy technologies, integrated with reverse osmosis (RO) desalination for salinity sourcing. Leveraging bio-inspired nanomaterials for corrosion and biofouling mitigation in hypersaline environments, AI-driven reinforcement learning (RL) control with a multi-objective function optimizes net power output, minimizes structural stress, and ensures grid stability. Multi-physics modeling incorporates advanced derivations for coupled energy flux, stochastic wave spectra, net OTEC accounting for 35% parasitic losses, and hybrid efficiency η_HOEHS > 30%. A reproducible Python simulation, verified via numerical integration against ECMWF reanalysis data, projects mean power of 5.1 kW and capacity factor (CF) of 25.4% under Red Sea conditions (H_s ~ 0.5-1.5 m, ΔT=12°C, ΔS=70 psu), incorporating dynamic variations in tidal cycles, seasonal thermal gradients, and wave statistics with FSI corrections. Supported by Monte Carlo sensitivity analysis (σ_P / μ_P = 12%), Gaussian process-based Bayesian inference for parameter posterior estimation (MAP H_s=0.9 m, 95% CI: 0.7--1.1 m), epistemic uncertainty quantification via KL divergence (0.12 nats), and model form uncertainty assessment via ensemble CFD-BEM comparisons (bias <5%). Popperian falsifiability criteria (reject if CF <20% at p<0.05). Red Sea-specific environmental mitigations include deep OTEC discharge and nanomaterial coatings. Grid integration via unified power converters and hydraulic storage ensures IEEE 1547 compliance. A phased roadmap projects LCOE <$0.10/kWh by 2035, driven by 30% OPEX reductions from predictive AI maintenance and durable composites. This framework advances sustainable ocean energy, addressing intermittency with unprecedented depth and precision, extendable to Gulf of Aden applications, with potential to unlock 2--4 TW global ocean renewables for decarbonization.</p> |
| title | A Conceptual Framework for an Innovative Hybrid Ocean Energy Harvesting Technology: Harnessing Waves, Tides, Thermal Gradients, and Salinity for Sustainable, Stable, and Cost-Effective Electricity Generation |
| url | https://doi.org/10.5281/zenodo.17635265 |