Browsing by Author "Theristis, Marios"
Now showing items 1-20 of 20
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Conference Object
Advanced Diagnostic Approach of Failures for Grid-Connected Photovoltaic (PV) Systems
Livera, Andreas; Theristis, Marios; Makrides, George; Sutterlueti, Juergen; Georghiou, George (2018)Real-time identification of failures in photovoltaic (PV) systems is crucial for achieving reactive maintenance schemes that, in turn, will increase the system reliability and guarantee the lifetime output. Following this ...
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Conference Object
Advanced failure diagnostic approach for grid-connected photovoltaic systems
Livera, Andreas; Theristis, Marios; Makrides, George; Georghiou, George (2018)
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Article
Comparative analysis of parameter extraction techniques for the electrical characterization of multi-junction CPV and m-Si technologies
Montes-Romero, Jesús; Almonacid, Florencia; Theristis, Marios; de la Casa, Juan; Georghiou, George E.; Fernández, Eduardo F. (2018)Modelling the current-voltage (I-V) characteristics of photovoltaic (PV) modules under real operating conditions is crucial for the better understanding of each technology. The most commonly used model for the electrical ...
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Conference Object
Development of building-integrated Photovoltaic (BIPV) innovative courseware for higher education and professionals
Livera, Andreas; Florides, Michalis; Theristis, Marios; Makrides, George; Georghiou, George E. (IEEE, 2018)Accurate and consistent performance assessment of photovoltaic (PV) systems with the use of advanced failure diagnostic tools is essential to safeguard high levels of production. The scope of this work is to propose a ...
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Article Open Access
Estimating the Performance Loss Rate of Photovoltaic Systems Using Time Series Change Point Analysis
Livera, Andreas; Georghiou, George E.; Tziolis, Georgios; Stein, Joshua S.; Theristis, Marios (MDPI, 2023-04-26)The accurate quantification of the performance loss rate of photovoltaic systems is critical for project economics. Following the current research activities in the photovoltaic performance and reliability field, this ...
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Conference Object
Failure diagnosis of short- and open-circuit fault conditions in PV systems
Livera, Andreas; Florides, Michalis; Theristis, Marios; Makrides, George; Georghiou, George E. (IEEE, 2018)Accurate and consistent performance assessment of photovoltaic (PV) systems with the use of advanced failure diagnostic tools is essential to safeguard high levels of production. The scope of this work is to propose a ...
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Article
Five-year performance and reliability analysis of monocrystalline photovoltaic modules with different backsheet materials
Makrides, George; Theristis, Marios; Bratcher, James; Pratt, Jeff; Georghiou, George E. (2018)Elevated operating temperatures decrease the energy yield and reliability of photovoltaic (PV) systems. In order to minimize these thermal losses and stresses, different types of packaging materials for PV modules need to ...
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Article
Impact of soiling on the outdoor performance of CPV modules in Spain
Montes-Romero, Jesús; Micheli, Leonardo; Theristis, Marios; Fernández-Solas, Álvaro; Casa, Juan de la; Georghiou, George E.; Almonacid, Florencia; Fernández, Eduardo F. (2019)
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Conference Object
Intra-day Solar Irradiance Forecasting Based on Artificial Neural Networks
Theocharides, Spyros; Kynigos, Marios; Theristis, Marios; Makrides, George; Georghiou, George E. (2019)Accurate solar irradiance forecasting is important for improving forecasting precision of photovoltaic (PV) power. In this study, an intra-day (i.e. 1 to 6 hours ahead) machine learning model based on an artificial neural ...
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Conference Object
Intra-day solar irradiance forecasting for PV power generation utilising machine learning models
Theocharides, Spyros; Makrides, George; Theristis, Marios; Georghiou, George (2019)Accurate PV production forecasting is an important feature that can assist utilities and plant operators in thedirection of energy management and dispatchability planning. In this work, intra-day (1 to 3 hours ahead) solar ...
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Conference Object
Intra-hour Forecasting for a 50 MW Photovoltaic System in Uruguay: Baseline Approach
Theocharides, Spyros; Alonso-Suarez, Rodrigo; Giacosa, Gianina; Makrides, George; Theristis, Marios; Georghiou, George E. (2019)The increased penetration of photovoltaic (PV) generation introduces new challenges for the stability of electricity grids. In this work, machine learning (ML) techniques were implemented to forecast PV power production ...
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Conference Object
Investigation of solar spectral irradiance measurements using the spectral matching ratio
Paraskeva, Vasiliki; Florides, Michalis; Theristis, Marios; Georghiou, George E. (2018)The spectral matching ratio (SMR) is an index used to classify the direct solar spectrum based on the relative difference between the spectrum under study and the reference AM1.5 spectrum. This paper evaluates the spectral ...
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Conference Object
Numerical modelling of cracks in PV modules
Papargyri, L.; Theristis, Marios; Georghiou, George E.; Papanastasiou, P. (2019)
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Conference Object
Numerical modelling of cracks in PV modules”, 13th Workshop of Dynamic behaviour of materials and its application in industrial processes
Papargyri, L.; Theristis, Marios; Georghiou, George E.; Papanastasiou, P. (2019)
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Conference Object
On-line failure diagnosis of grid-connected photovoltaic systems based on fuzzy logic
Livera, Andreas; Theristis, Marios; Makrides, George; Georghiou, George E. (2018)Accurate identification of failures in photovoltaic (PV) systems, which can result in energy loss or even serious safety issues, is crucial for ensuring reliability of the installations and the guaranteed lifetime output. ...
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Conference Object
Optimal development of location and technology independent machine learning photovoltaic performance predictive models
Livera, Andreas; Theristis, Marios; Makrides, George; Ransome, Steve; Sutterlueti, Juergen; Georghiou, George E. (2019)Photovoltaic (PV) power prediction is important for monitoring the performance of PV plants. The scope of this work is to develop a methodology for deriving an optimized location and technology independent machine learning ...
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Conference Object
Performance Analysis of Mechanistic and Machine Learning Models for Photovoltaic Energy Yield Prediction
Livera, Andreas; Theristis, Marios; Makrides, George; Sutterlueti, Juergen; Ransome, Steve; Georghiou, George (2019)In this work, the prediction performance of the mechanistic performance model (MPM) and a machine learning Feed Forward Neural Network (FFNN), was evaluated using yearly datasets, containing sixty-minute average and ...
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Article
Performance of a concentrating photovoltaic monomodule under real operating conditions: Part II – Power rating
Theristis, Marios; Fernández, Eduardo F.; Georghiou, George E.; O'Donovan, Tadhg S. (2018)In Part I of this work, a comprehensive outdoor characterisation of a concentrating photovoltaic monomodule was presented where the importance of atmospheric parameters on the performance of such systems was highlighted. ...
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Article
Recent advances in failure diagnosis techniques based on performance data analysis for grid-connected photovoltaic systems
Livera, Andreas; Theristis, Marios; Makrides, George; Georghiou, George E. (2019)Over the last decade, research into photovoltaic (PV) technology has shifted from a race for the highest efficiency to the increase of the performance reliability in the field. A major part of current research activities ...
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Article
Update on project ALCHEMI – A low cost HCPV module for 1000 sun operation
Duggan, Geoff; Johnson, Andrew D.; Davies, J. Iwan; Nitz, Peter; Wiesenfarth, Maike; Iankov, Dimitre; Rey-Stolle, Ignacio; Algora, Carlos; Vara, Iván Garcia; Lombardero, Iván; Caño, Pablo; Theristis, Marios; Georghiou, George E. (2019)Project ALCHEMI is a Solar Era.Net funded European collaborative project, which is developing a low cost, high efficiency HCPV module using a previous design developed by Fullsun PV. In this project, the 625 sun Gen 1 ...