Abstract
Given the prejudicial environmental effects of fossil-fuel based energy production, renewable energy sources can contribute significantly to the sustainability of human society. As a clean, cost effective and inexhaustible renewable energy source, wind energy harvesting has found a wide application to replace conventional energy productions. However, concerns have been raised over the noise generated by turbine operating, which is helpful in fault diagnose but primarily identified for its adverse effects on the local ecosystems. Therefore, noise monitoring and separation is essential in wind turbine deployment. Recent developments in condition monitoring provide a solution for turbine noise and vibration analysis. However, the major component, aerodynamic noise is often distorted in modulation, which consequently affects the condition monitoring. This study is conducted to explore a novel approach to extract low-frequency elements from the aerodynamic noise background, and to improve the efficiency of online monitoring. A framework built on the spline envelope method and improved local mean decomposition has been developed for low-frequency noise extraction, and a case study with real near-field noises generated by a mountain-located wind turbine was employed to validate the proposed approach. Results indicate successful extractions with high resolution and efficiency. Findings of this research are also expected to further support the fault diagnosis and the improvement in condition monitoring of turbine systems.
Highlights
It has been clear that environmental pollution and scarcity of natural resources have been major factors affecting the sustainable development of human society
For a comparative study to validate the proposed approach, the mixed simulation signal X(t) was decomposed using classic local mean decomposition (LMD) and the improved LMD respectively with three product functions obtained for each method
Was decomposed using classic LMD and the improved LMD respectively with three product functions obtained for each method
Summary
It has been clear that environmental pollution and scarcity of natural resources have been major factors affecting the sustainable development of human society. One significant part of these resource consumption and wastes discharge is the fossil-fuel based energy production and the associated greenhouse gas (GHG) emissions, which becomes a major concern regarding to the global climate change. Statistics conducted by the International Energy Agency (IEA) indicated that electricity production contributes up to 40% of global GHG emissions, which correspondingly results in a demand of 25,000 GW low-carbon energy by 2050 to satisfy sustainable living on the planet [1,2]. Energies 2020, 13, 805 renewable energy sources such as wind turbines, concentrated solar power and solar photovoltaic could be desirable solutions for the sustainable energy production and supply. Cost effective and low emission renewable energy source, wind power generated by turbines has found a wide application in green energy supply. According to the IEA studies mentioned above, wind energy harvesting could satisfy over 6% of the global energy demand by 2023
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