S
Soteris A. Kalogirou
Researcher at Cyprus University of Technology
Publications - 243
Citations - 26904
Soteris A. Kalogirou is an academic researcher from Cyprus University of Technology. The author has contributed to research in topics: Solar energy & Renewable energy. The author has an hindex of 72, co-authored 229 publications receiving 22731 citations. Previous affiliations of Soteris A. Kalogirou include Higher Technical Institute of Cyprus.
Papers
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A review on pulsating heat pipes: From solar to cryogenic applications
Mohammad Alhuyi Nazari,Mohammad Hossein Ahmadi,Roghayeh Ghasempour,Mohammad Behshad Shafii,Omid Mahian,Omid Mahian,Soteris A. Kalogirou,Somchai Wongwises +7 more
TL;DR: Pulsating heat pipes (PHPs) are compact cooling equipment used for various applications, such as renewable energy systems, cooling electronic devices, heat recovery systems and many other applications as discussed by the authors.
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Artificial neural networks used for the performance prediction of a thermosiphon solar water heater
TL;DR: In this article, an artificial neural network (ANN) was used to predict the performance of a thermosiphon solar domestic water heating system, which is measured in terms of the useful energy extracted and the stored water temperature rise.
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Parabolic trough collector system for low temperature steam generation: Design and performance characteristics
TL;DR: In this paper, the collector's performance is tested according to Ashrae Standard 93, 1986 1, and the collector efficiency and incidence-angle modifier are measured, and the test slope and intercept are found to be 0.387 and 0.638 respectively.
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ANFIS-based modelling for photovoltaic power supply system: A case study
Adel Mellit,Soteris A. Kalogirou +1 more
TL;DR: In this paper, an Adaptive Neuro-Fuzzy Inference Scheme (ANFIS) and a new configuration of an expert PVPS system is proposed in this work.
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MPPT-based artificial intelligence techniques for photovoltaic systems and its implementation into field programmable gate array chips: Review of current status and future perspectives
Adel Mellit,Soteris A. Kalogirou +1 more
TL;DR: The applications of artificial intelligence-based methods for tracking the maximum power point based upon neural networks, fuzzy logic, evolutionary algorithms, which include genetic algorithms, particle swarm optimization, ant colony optimization, and other hybrid methods are reviewed and analysed.