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NSCC NewsBytes August 2021
Amid the growing interest in the renewable energy sector, the solar photovoltaic (PV) industry has witnessed an exponential growth in recent years. As new solar technologies emerge, businesses are challenged to upgrade their solar farms and recycle their existing solar installations.
This is usually done by gauging the life expectancy and equipment effectiveness of existing solar panels by checking for visual defects. However, most inspections are currently performed manually in the industry, which requires significant manpower, time and costs. A team of researchers at Nanyang Technological University’s School of Computer Science & Engineering, in conjunction with Etavolt Pte Ltd, are tapping onto NSCC’s high performance computing resources to automate the detection of visual defects in solar panels by employing image recognition technologies and object detection models. The team seeks to significantly reduce the resources required and improve the work productivity via the developed technology in this work.
The noise generated by modern aircraft has been a long-standing noisepollution problem since the first commercial jet-engine-powered aircraft entered in the early 1950’s. The elevated acoustic noise levels from aviation in flight has serious adverse impact on the health and well-being of people who live or work near airports. These health problems include, but are not limited to, hearing impairment, sleep disturbance, increased stress levels and the increased risk of hypertension and heart disease, which affect all age groups, especially children.
A typical turbofan civilian aircraft during take-off can generate an overall sound pressure level (OASPL) of approximately 100 dB, measured about 100ft away from the runway centre line. Much of the noise emission from jet-engine-powered aircraft originate from the airframe and engines. The noise produced from jet exhaust is by far the major source of noise pollution especially for low bypass ratio engines.
To reduce its impact on the environment and health, it is essential to understand the mechanism of noise generation, which can be challenging due to the complex physics of turbulent flow and its interaction with the acoustic field. A team of researchers at NUS’ Temasek Laboratories are utilising NSCC’s supercomputing resources in an attempt to employ the computational aeroacoustics (CAA) method with high-fidelity numerical simulations to accurately resolve the jet flow and predict its noise emissions. The research hopes to improve the understanding of the underlying physical process of noise generation and radiation.
