Experimental Performance Assessment of a Micro Wind Energy Generator and a Charge-Controller-Based Framework for Residential DC Energy Management

Abstract

This paper reports a bench-level performance assessment of a micro wind energy generator and develops a charge-controller-based framework for residential DC energy management built on the measured quantities. In the test configuration, a three-phase wind generator feeds a diode-bridge rectifier and a charge controller that supplies a DC load and a battery; measurements were taken at the charge-controller output. The recorded dataset–battery terminal voltage and current during a ‘load running with battery only’ test–is reported transparently together with the recomputed battery power, whose maximum is about 0.376W. An important and openly stated limitation is that the dataset is sparse (five points,four sharing the same 0.04 A current) and that the DC-load and turbine three-phase quantities, as well as wind speed, were not logged; consequently the charge-controller efficiency that the experiment defines cannot be evaluated from the available data, and no efficiency value is fabricated. A pronounced drop of battery voltage from 22.4 V at open circuit to roughly 8.4–9.4 V under a 0.04 A load is identified and discussed as a likely high-source-impedance or near-depleted-source effect rather than concealed. The paper formalizes the wind-power, rectifier, power-balance, and efficiency relations; proposes an energy-management architecture coupling maximum power point tracking (MPPT), battery storage, and prioritized loads; and specifies exactly which additional measurements (load and turbine voltage and current, wind speed, and time stamps) are required to make the assessment fully quantitative. The contribution is a disciplined, end-to-end, fully traceable path from a limited teaching measurement to a deployable micro-wind energy-management concept.