Alexis Polycarpou

Dr. Alexis Polycarpou

Frederik University, Cyprus
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Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 April 2021 in Sensors
Verified
Journal Article
Open access
PDF file
DJDacian Jurj
Dacian Jurj
Levente CzumbilLevente Czumbil
Levente Czumbil
BBBogdan Bârgăuan
Bogdan Bârgăuan
Andrei CECLANAndrei CECLAN
Andrei CECLAN
APAlexis Polycarpou
Alexis Polycarpou
Dan MicuDan Micu
Dan Micu
The aim of this paper is to provide an extended analysis of the outlier detection, using probabilistic and AI techniques, applied in a demo pilot demand response in blocks of buildings project, based on real experiments and energy data collection with detected anomalies. A numerical algorithm was created to differentiate between natural energy peaks and outliers, so as to first apply a data cleaning. Then, a calculation of the impact in the energy baseline for the demand response computation was implemented, with improved precision, as related to other referenced methods and to the original data processing. For the demo pilot project implemented in the Technical University of Cluj-Napoca block of buildings, without the energy baseline data cleaning, in some cases it was impossible to compute the established key performance indicators (peak power reduction, energy savings, cost savings, CO2 emissions reduction) or the resulted values were far much higher (>50%) and not realistic. Therefore, in real case business models, it is crucial to use outlier’s removal. In the past years, both companies and academic communities pulled their efforts in generating input that consist in new abstractions, interfaces, approaches for scalability, and crowdsourcing techniques. Quantitative and qualitative methods were created with the scope of error reduction and were covered in multiple surveys and overviews to cope with outlier detection.
27 October 2021 in Energies
Verified
Journal Article
Open access
PDF file
MCMichael Chrysostomou
Michael Chrysostomou
Nicholas ChristofidesNicholas Christofides
Nicholas Christofides
SIStelios Ioannou
Stelios Ioannou
APAlexis Polycarpou
Alexis Polycarpou
The rapid growth of the Information and Communications Technology (ICT) sector requires additional infrastructure, such as more micro-datacenters and telecom stations, to support the higher internet speeds and low latency requirements of 5G networks. The increased power requirements of the new ICT technologies necessitate the proposal of new power supplies, in an attempt to support the increase in energy demand and running costs. This work provides an in-depth theoretical analysis on the losses of the individual stages of commercially available PSU and proposes a new multicell PSU, the buck PFC converter, which offers a higher overall efficiency at varying load levels. The theoretical results are verified using simulation results, via a PSIM Thermal Module, and using experimental data. The results indicate that multicell structures can improve the overall PSU efficiency by 1.2% at 50% rated power and more than 2.1% at full power. Finally, taking into consideration the economic implications of this study, it is shown that the proposed multicell structure may increase the PSU costs by 10.78%, but the payback period is in the order of just 3.3 years.
1 December 2025 in IOP Conference Series: Earth and Environmental Science
Verified
Conference Paper
Open access
AKAndreas Komitis
Andreas Komitis
APAlexis Polycarpou
Alexis Polycarpou
Cyprus depends on imported fossil fuels for over 75% of its energy, highlighting the need for localized renewable solutions. This study explores harnessing vehicle-induced aerodynamic wakes along highways to power in-road LED safety lighting. Wind speed measurements and synchronized traffic observations were collected on a major Cyprus highway to model energy yields from an Aeolos V-300 vertical-axis wind turbine (VAWT). Results show average wake wind speeds of 2.71-2.82 m/s, producing approximately between 143 and 192 Wh/day depending on the scenario under investigation. In all case study scenarios, the required 120 Wh/day demand corresponding to the 25 in-road LED markers covering a stretch of 500m of road, is satisfied. The proposed system, features a single wind turbine and LiFePO₄ storage offering 7 days of autonomy. This approach enables decentralized, sustainable highway infrastructure supporting Cyprus’s energy transition goals.