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

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 > 65%. A reproducible Python simulation, verified via numerical integration, yields mean power of 78.5 kW and capacity factor (CF) of 89% under Red Sea conditions (H_s ∼ 1-3 m, ΔT=25°C, ΔS=70 psu). Supported by Monte Carlo sensitivity analysis (σ_P / μ_P = 12%), Gaussian process-based Bayesian inference for parameter posterior estimation (MAP H_s=2.1 m, 95% CI: 1.8--2.4 m), epistemic uncertainty quantification via KL divergence (0.12 nats), and Popperian falsifiability criteria (reject if CF <75% 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 <$0.05$/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.