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S. Armstrong

Researcher at University College Cork

Publications -  14
Citations -  1097

S. Armstrong is an academic researcher from University College Cork. The author has contributed to research in topics: Photovoltaic system & Wave farm. The author has an hindex of 9, co-authored 14 publications receiving 983 citations. Previous affiliations of S. Armstrong include National University of Ireland, Galway.

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Journal ArticleDOI

A thermal model for photovoltaic panels under varying atmospheric conditions

TL;DR: In this article, a new thermal model is proposed that incorporates atmospheric conditions; effects of PV panel material composition and mounting structure, and experimental results are presented which verify the thermal behavior of a photovoltaic panel for low to strong winds.
Proceedings ArticleDOI

A stand-alone photovoltaic supercapacitor battery hybrid energy storage system

TL;DR: In this article, the role of the supercapacitor in a PV energy control unit (ECU) is investigated by using Matlab/Simulink models, where the ECU monitors and optimizes the power flow from the PV to the battery-supercapacitors hybrid and the load.
Journal ArticleDOI

A new methodology to optimise solar energy extraction under cloudy conditions

TL;DR: In this article, the authors present a means of predicting the solar radiation in a frequently overcast climate and proposes a method for choosing the optimum tilt angle in such a climate, where the effect of different load profiles on the optimal tilt angle is also investigated.
Proceedings ArticleDOI

Comparison of battery charging algorithms for stand alone photovoltaic systems

TL;DR: In this paper, the effectiveness of three battery charging algorithms and their ability to maintain the battery at a high state of charge was evaluated. But, the authors did not evaluate the performance of the three algorithms.
Proceedings ArticleDOI

Investigating the Effectiveness of Maximum Power Point Tracking for a Solar System

TL;DR: In this article, the authors investigated the effectiveness of maximum power point tracking (MPPT) and proposed a quantitative measure of MPPT efficiency using a vector methodology to track the direction and path of the sun throughout the day.