Powering Tomorrow with Hybrid Renewable Energy
Explore how solar and wind energy can work together with battery storage to meet electrical demand. A real-time simulated microgrid illustrating power generation, energy dispatch, and storage dynamics.
ENERGY MANAGEMENT SYSTEM (EMS)
+1.9 kW Surplus
Solar Energy
Clean electricity generated from photovoltaic panels, utilizing semiconductor solar cells to convert sunlight directly into DC electrical energy.
Wind Energy
Electricity generated using wind turbine systems, capturing atmospheric kinetic energy with aerodynamic rotor blades coupled to an induction generator.
Energy Storage
Battery storage helps balance renewable generation and demand, absorbing surplus generation during peaks and discharging instantaneously during lulls.
System Overview Dashboard
Real-time parameters, generation telemetry, and power balance of the hybrid microgrid.
Central Energy Flow & Dispatch Simulation
Animated vector visualization of microgrid energy routing. Dashed tracks dynamically indicate flow magnitude and direction.
Solar PV Generation & Characterization
Real-time solar irradiance, string DC voltage/current measurements, and diurnal generation curves.
PV Array Instantaneous Operating Points
STC Reference
Photovoltaic Array Specifications
- Cell Technology: Monocrystalline Silicon (c-Si)
- Array Configuration: 2 Strings of 10 Modules (Series-Parallel)
- Nominal Rating: 5.0 kWp at STC (1000 W/m², 25°C)
- Inverter MPPT Efficiency: 98.2%
Engineering Fundamentals: Photovoltaic Power
P_solar = V_pv × I_pv
DC electrical power equals the product of instantaneous array voltage and current, optimized by Maximum Power Point Tracking (MPPT) algorithms (Perturb & Observe).
• Solar Irradiance: The radiant flux density received per unit area from the sun, quantified in W/m².
• Solar PV Panel: Solid-state semiconductor p-n junctions converting photon energy into electron-hole pairs via the photoelectric effect.
• Solar Efficiency: The ratio of electrical power output to incident solar radiant power: \(\eta = \frac{P_{max}}{A \times G} \times 100\%\).
• Daily Energy Yield: Time-integrated total power generation over the 24-hour diurnal cycle (kWh).
Solar Power Generation Throughout the Day
Simulated diurnal Bell-curve profile under typical clear-sky solar insolation.
| Time | 06:00 | 08:00 | 10:00 | 12:00 | 14:00 | 16:00 | 18:00 |
|---|---|---|---|---|---|---|---|
| Power | 0.2 kW | 1.1 kW | 3.0 kW | 4.5 kW | 4.0 kW | 2.2 kW | 0.3 kW |
Wind Turbine Generation & Dynamics
Real-time wind velocity, turbine rotor rotational speed, and kinetic conversion modeling.
Aerodynamic Rotor & Generator Telemetry
Active YawEngineering Fundamentals: Wind Aerodynamics
P = ½ · ρ · A · C_p · V³
Power extracted from moving air is cubic with respect to wind velocity, making location wind speed the most decisive factor in annual yield.
• \(\rho\) (Air Density): Mass per unit volume of air, typically \(1.225 \text{ kg/m}^3\) at standard sea-level temperature and pressure.
• A (Swept Area): Total circular area spanned by the rotating turbine blades: \(A = \pi R^2\).
• C_p (Power Coefficient): Betz aerodynamic efficiency factor, theoretically capped at Betz’s limit of \(16/27 \approx 59.3\%\).
• V (Wind Speed): Upstream velocity. Because \(P \propto V^3\), doubling the wind speed increases theoretical available kinetic power by \(8\times\)!
Wind Power Generation Throughout the Day
Simulated hourly generation exhibiting natural stochastic variations and nocturnal gusts.
Battery Energy Storage System (BESS)
Real-time State of Charge (SOC), voltage characteristics, thermal monitoring, and dispatch protection.
Li-Ion BESS Operational Enclosure
CHARGINGEnergy Management & Dispatch Logic
// 1. Sum instantaneous renewable generation:
renewablePower = solarPower + windPower;
// 2. Determine microgrid net power balance:
if (renewablePower > loadDemand) {
excessPower = renewablePower - loadDemand;
if (batterySOC < 100) {
batteryMode = "CHARGING";
batterySOC += (excessPower * timeStep / batteryCapacity) * 100;
} else {
batteryMode = "FULL_FLOAT";
}
} else if (renewablePower < loadDemand) {
requiredPower = loadDemand - renewablePower;
if (batterySOC > 20) {
batteryMode = "DISCHARGING";
batterySOC -= (requiredPower * timeStep / batteryCapacity) * 100;
} else {
batteryMode = "LOW_BATTERY_SHED";
}
}Battery SOC Throughout the Day
24-hour state of charge trajectory showing daytime absorption and evening supply.
Minimum 20% SOC Limit: Prevents deep discharge and irreversible lithium plating, preserving cycle life (>4,000 cycles).
Maximum 100% SOC Limit: Cutoff stops overcharging and thermal runaway, throttling charge current at saturation.
Microgrid Analytics & Comparative Profiles
Multi-parameter correlation, generation vs. demand profiles, and live-calculated renewable fraction.
Chart 1: Solar vs Wind Generation
Comparative hourly profiles displaying daytime solar peak and nocturnal wind persistence.
Chart 2: Renewable Generation vs Load Demand
Green area denotes generation surplus (battery charging); Red deficit area triggers discharge.
Chart 3: Battery State of Charge (SOC %)
Continuously tracking battery energy reserve within safe 20%–100% operational window.
Chart 4: Daily Renewable Energy Contribution
Comparative energy share (kWh) supplied by Solar PV vs Wind Turbine vs Storage.
Calculated Microgrid Summary Performance (24-Hour Cumulative)
Computed via JavaScriptInteractive Hybrid Sizing Calculator
Adjust generation capacities and consumption to estimate daily energy yields and renewable coverage.
Input Parameters
Estimated Generation & Coverage Results
Live ComputedRenewable Energy Exceeds Daily Load
Total renewable generation (47.38 kWh) exceeds the daily consumption requirement (35.00 kWh). Surplus energy is stored in the battery storage system or can be exported to the grid.
Note: Results are simplified estimates for educational demonstration and academic mini-project presentation. Detailed commercial engineering sizing requires loss factors, stochastic wind distributions, and meteorological TMY datasets.
About the Hybrid Renewable Project
Academic specifications, engineering architecture, and viva demonstration guidelines.
Project Overview
Project Title
Hybrid Renewable Energy Monitoring Dashboard
Objective
To develop an interactive web-based simulation and telemetry dashboard that demonstrates the seamless integration of solar photovoltaic energy, wind turbine generation, battery energy storage systems (BESS), and electrical load demand within an autonomous microgrid.
Key Features
- ☀️ Solar PV Monitoring: Dynamic voltage, current, and irradiance telemetry with diurnal Bell-curve generation profiles.
- 🌬️ Wind Turbine System: Interactive blade rotation coupled to simulated wind velocities and aerodynamic cubic power curves.
- 🔋 Battery BESS Visualization: Real-time liquid SOC visualization with 20% minimum depth-of-discharge and 100% overcharge cutoff.
- ⚡ Energy Flow Simulation: Animated SVG vector energy manager visualizing active power routing and surplus/deficit routing.
- 📈 Renewable Analytics: Multi-chart comparisons for diurnal complementarity, load coverage, and net renewable fraction.
- 🧮 Sizing Calculator: Dynamic estimation of daily yields, capacity factors, and net grid dependency.
- 🌱 CO₂ Reduction Estimation: Real-time avoided greenhouse emissions modeled on local grid carbon intensity (0.82 kg CO₂/kWh).
Technologies Employed
EEE Microgrid Block Diagram
Standard DC Bus Architecture for Hybrid Solar-Wind-Storage Systems
Key Takeaway for Oral Presentation / Viva
The central advantage of a hybrid system is diurnal complementarity: solar generation peaks during midday hours when solar insolation is highest, while wind turbines compensate during nocturnal and overcast conditions. The battery energy storage system acts as an instantaneous energy buffer to bridge any transient generation-demand deficit.