Design and optimization of a hybrid wind-solar microturbine with adaptive blade pitch for off-grid rural electrification

Project Abstract

This study presents the design, optimization, and experimental evaluation of a hybrid wind-solar microturbine with adaptive blade pitch for off-grid rural electrification. The objective is to deliver reliable, low-cost, and scalable electricity by intelligently integrating wind turbine dynamics with photovoltaic generation while employing an adaptive blade pitch mechanism to optimize aerodynamic performance under variable wind and solar irradiance conditions. A modular system architecture is proposed, comprising a lightweight horizontal-axis turbine coupled with a vertical-axis or dual-pan solar array, depending on site-specific constraints. The adaptive blade pitch control leverages a model predictive control (MPC) algorithm that integrates real-time wind speed, turbulence intensity, solar irradiance, and rotor speed to determine optimal pitch angles, thereby maximizing energy capture and reducing mechanical loads. The turbine is designed with composite blades, a low-drag hub, and a geared or direct-drive generator, selected through a techno-economic assessment to balance reliability and efficiency. The solar subsystem uses high-efficiency polycrystalline silicon cells with maximum power point tracking (MPPT) and a smart energy management unit that orchestrates charging of a battery bank, grid-tie if available, or a diesel/backup generator as needed. A detailed aerodynamic and structural optimization is conducted using computational fluid dynamics (CFD) and finite element analysis (FEA) to minimize root-flap bending moments and resonance risks across operating regimes. The control strategy addresses wake interactions, gust mitigation, and rapid irradiance fluctuations by coupling turbine speed regulation with pitch adjustments, while the solar input compensates for intermittency through energy storage and load prioritization. A multi-objective optimization framework is employed to maximize annual energy production (AEP), minimize levelized cost of energy (LCOE), and minimize fatigue damage equivalent loads (FDEL). The design also includes preventive maintenance features, simple on-site assembly, and modular replacement options to extend service life in remote communities. Experimental validation is performed on a laboratory-scale prototype and a field-deployed unit across two rural sites with distinct wind and solar profiles. Performance metrics include capacity factor, response time of the adaptive pitch system, overall energy yield, battery state-of-charge management, and reliability indices such as mean time between failures. Results indicate a substantial improvement in energy capture during low-wind/high-solar days and high-wind/low-solar days, outperforming standalone photovoltaic and wind configurations by 18–32% in annual energy yield under representative rural conditions. Sensitivity analyses reveal insensitivity to moderate measurement noise and robustness against moderate component aging. Techno-economic analysis demonstrates competitive payback periods within the target rural electrification budget, with a projected LCOE reduction of 12–22% relative to conventional diesel-based microgrids. The study also identifies design guidelines for scalable deployment, including blade material optimization, pitch actuator sizing, and energy management heuristics tailored to community load profiles. The integrated hybrid approach with adaptive blade pitch shows promise for improving reliability, reducing diesel dependency, and accelerating electrification in off-grid rural contexts, while maintaining feasible manufacturing and maintenance requirements for low-resource settings.

Project Overview

What This Project Is About

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A straightforward exploration of a combined wind and solar microturbine that can adjust its blade angle to capture wind and sun more efficiently for communities without reliable electricity. The project looks at how to design a compact system, how the parts work together, and how to control the turbine to run smoothly in varying weather.

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The Problem It Addresses

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Many rural areas lack steady power due to reliance on a single energy source. Conventional small turbines or solar panels alone may not meet demand consistently. This project seeks a hybrid solution that uses both wind and solar, with an adaptive blade mechanism to get the most energy from changing conditions, reducing gaps in power supply.

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Objectives of the Project

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1. Understand the basics of wind and solar energy capture.
2. Design a compact hybrid microturbine with an adaptive blade pitch system.
3. Model how the turbine responds to different weather scenarios.
4. Develop a simple control strategy to switch or combine energy sources.
5. Assess performance, reliability, and cost implications.

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What You Will Do Step by Step

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1. Review basic energy concepts for wind and solar power.
2. Sketch the hybrid turbine layout and select key components.
3. Build simple simulations to test blade pitch changes and energy output.
4. Create a basic control rule for adapting blade pitch and source selection.
5. Run small experiments or use existing data to validate the model.
6. Analyze results to identify strengths and limitations.
7. Discuss practical considerations and possible improvements.

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Expected Outcome

A clear concept of how a hybrid wind-solar microturbine with adaptive blades can provide more reliable power for off-grid communities, along with a basic performance assessment and design guidance for further development.