Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6766430 | Renewable Energy | 2016 | 14 Pages |
Abstract
A key factor in future eco-friendly and reliable energy systems for network stability is energy prediction of renewable resources. However, the climate-induced performance degradation represents a major drawback to solar making them unreliable for unattended or remote plants. We propose a customized cost-effective solution that allows monitoring and predicting the performance of PV systems, fostering thus efficient planning and control strategies for network stability. More specifically, we design an in-house system featuring a buck-boost converter enhanced with a maximum power point tracker (MPPT) serving as a PV load, sensors' system that collects climatic parameters including dust, wireless Radio, and a LabVIEW based monitoring and recording station. We have presented thoroughly all the system design steps. The system was deployed in Doha over a long period of time under harsh environment. It allows accessing and processing of recorded data ubiquitously over the web or from a database. Based on the recorded data, the power output for a given PV technology under any environment can be analyzed. Results predict that the maximum power output from a Poly-crystalline panel decreases by around 30% for a dust exposure of five months. This would suggest cleaning needs and advise on cleaning frequencies of PV panels.
Keywords
Related Topics
Physical Sciences and Engineering
Energy
Renewable Energy, Sustainability and the Environment
Authors
Farid Touati, M.A. Al-Hitmi, Noor Alam Chowdhury, Jehan Abu Hamad, Antonio J.R. San Pedro Gonzales,