Darlington Imhanzuaria  

Ph.D. Candidate

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Darlington is from Edo state, but was raised in Lagos state, Nigeria. He graduated from the University of Benin, Benin-City, Nigeria with a B.Eng (Hons.) in Petroleum Engineering in November, 2018. He conducted an undergraduate research in drilling engineering by evaluating Poisson Ratio in predicting Fracture Pressure Gradient for the Niger Delta Area under the advisement of Professor Kelani Bello. This work led to winning a national award from SPE as the best paper. Before joining AAQRL, he has interned as an Assessed Intern in major Oil & Energy firms in Nigeria.Due to his desire to ensure a paradigm shift from fossil fuel utilization to cost-effective, clean and sustainable energy, together with good air quality monitoring, he moved to Miami, FL to pursue his graduate studies in Chemical, Environmental, and Materials Engineering at the University of Miami. His current research focuses on using a low-cost PM sensor for air quality monitoring and monitoring of dust particles around solar panels.

 

   Research Projects

 

Using PM sensors to measure air quality at RSMAS campus

       

 

Li and Biswas, Aerosol and Air Quality Research, 17: 1691–1704, 2017

Particulate matter (PM) sensors employ light scattering principle to measure the mass concentration of fine particles. The scattering signal depends on the aerosol size distributions and particle refractive index. Their low price alleviates the economic concerns in making widespread measurements in large-scale environments, and their compact size makes them readily portable. PM sensors are deployed for a near-real-time monitoring of air quality, and its results are better correlated with reference industry equipment. These PM sensors would be strategically positioned at identified spots, and the mass concentration vs time at various locations would be measured, then these sensors would be calibrated using reference equipment to ensure accurate and reliable data obtained.

The near-real-time monitoring of dust particles mass concentration would inform us when to clean the solar PV panels because with frequent cleaning, there is every tendency for its efficiency to reduce, and with that labor cost of cleaning is significantly reduced.