Sun tracking system for productivity enhancement of solar still

By S. Abdallah, O. Badran. 2008

269 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/ee2fa4c47336c206b7b56517fb1a753d6ad0689d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. F. Essa
2. A. Kabeel
3. Rached Dhaouadi
4. Ahmad Al Nabulsi
5. Z. Omara

In Renewable Energy, Sustainability and the Environment

1. F. Essa
2. Z. Omara
3. A. Kabeel
4. Rached Dhaouadi
5. Ahmad Al Nabulsi
6. A. S. Abdullah
7. W. Alawee
8. S. Mohammed

Citations in the corpus

• A review of principle and sun-tracking methods for maximizing solar systems output (2009, background): “Graphical results showed an increase of up to 40% in the morning till mid-day and up to 22% in the evening for tracking mode [89].”
• Enhancement of modified solar still integrated with external condenser using nanofluids: An experimental approach (2014, methodology): “…but in active solar stills by using the additional device such as fan (Ali, 1991), pump (Tabrizi & Zolfaghari, 2010), sun tracking system (Abdallah & Badran, 2008) or solar collectors (Abdenacer & Nafila, 2007), (Bacha et al, 2007), and (Voropoulos et al, 2003), the temperature…”
• Efficiency Optimization of a DSP-Based Standalone PV System Using Fuzzy Logic and Dual-MPPT Control (2012, methodology): “The third tracking method is the astronomical method, which employs the longitude and latitude data of a given location to determine the sun current position [9]–[11].”