Renewable Energy Explained: Power Systems, Storage & Sustainable Technologies is a publication-grade Open Educational Resource (OER) module covering the thermodynamic principles, electrochemical modeling, conversion technologies, and grid integration of sustainable power systems.
Serving as an integral core module within the Electrical and Electronic Engineering curriculum on Prep4Uni.Online, this text bridges solar PV, wind turbine aerodynamics, and electrochemical battery storage with contemporary AI-era computational paradigms, microgrid sizing, and clean energy economics.
Key Features:1. Interactive Solar-Plus-Battery Simulator: A client-side JavaScript/Canvas engine modeling solar PV generation curves, consumer load demand profiles, battery state-of-charge (SoC) trajectories, and renewable fractions across a 24-hour diurnal cycle.2. Contemporary Computational Energy Paradigms: Rigorous integration of Physics-Informed Neural Networks (PINNs) solving Doyle-Fuller-Newman (DFN) electrochemical battery diffusion equations, Fourier Neural Operators (FNOs) for atmospheric wind turbine wake aerodynamics, and Lie-group Invariant Extended Kalman Filters (IEKF) for grid-forming inverter synchronization.3. Systems Engineering Architecture Trade-Offs: Comprehensive comparison matrix contrasting single-axis tracking against fixed-tilt PV installations, Lithium Iron Phosphate (LFP) against Nickel Manganese Cobalt (NMC) chemistries, Vanadium Redox Flow Batteries (VRFB) against Lithium-Ion BESS, and green hydrogen electrolysis against utility-scale battery storage.4. Worked Numerical Design Application: Multi-step mathematical calculations detailing a standalone off-grid solar PV array and LFP battery energy storage sizing study, evaluating balance-of-system derating, multi-day autonomy, and DC bus ampere-hour capacities.5. Curricular Assessment: 24 fully resolved foundational review questions, analytical design scenarios, and numerical calculations in print-optimized collapsible details elements.