Leticia Pekk

58493526600

Publications - 6

Future of Agrivoltaic projects: A review from the technological forecasting perspective

Zoltán Weltsch András Háry Xue Chao Wang Ting Pan Leticia Pekk Bernadett Rádli-Burján Petar Sabev Varbanov

Publication Name: Cleaner Engineering and Technology

Publication Date: 2025-09-01

Volume: 28

Issue: Unknown

Page Range: Unknown

Description:

Agrivoltaic systems integrate photovoltaic (PV) energy generation with agricultural production, creating synergies that enhance land-use efficiency and environmental sustainability. This article reviews agrivoltaic technologies to identify key trends and the most promising future research and development directions. The method applied involves selecting and analysing relevant literature sources and filtering them with regard to the essential questions that need to be answered for the climates of Central Europe and China. These include global development, current applications, and technological progress. The analysis reveals growing attention to system design, performance optimisation, and crop compatibility. Innovations such as bifacial and spectrally selective PV modules boost energy yields while maintaining suitable conditions for shade-tolerant crops like leafy greens and berries. The analysis confirmed the high potential of sustainability benefits (societal, economic, and environmental) and revealed the need for systematic investigations of significant performance factors, including location and system design. A relatively underinvestigated factor is the protection of crops from excessive sunlight, which has become increasingly important. The modelling and optimisation of system operation is also necessary to provide decision-makers with robust tools for project assessment. A roadmap is proposed to guide future research and development.

Open Access: Yes

DOI: 10.1016/j.clet.2025.101057

Investigation of the Radar Cross-Section and its Optimization Potential for ADAS Tests

Leticia Pekk Robert Magai Norbert Simon Balazs Molnar

Publication Name: Engineering Technology and Applied Science Research

Publication Date: 2025-02-01

Volume: 15

Issue: 1

Page Range: 20493-20499

Description:

The objective of this study is to examine the Radar Cross Section (RCS) of instruments designed for Autonomous Driving Systems (ADAS) testing, with the intention of comparing the results to those of actual human subjects. The RCS values of both dummy and platform objects were documented at varying distances and positions, with the objective of ascertaining the extent to which dummies can serve as substitutes for human values in vehicle radar sensing tests. The findings, substantiated by graphical representations and statistical analyses (e.g., Pearson and Spearman correlation), reveal a moderately strong positive correlation between the RCS and human values, which is statistically significant. The outcomes of the tests demonstrate that the developed instruments can substitute for real human radar cross-section values within the range of 5-15 m. However, as the distance increases, larger deviations are observed. These discrepancies underscore the necessity for a refinement of the dummy design in future ADAS tests, ensuring that distance-sensitive tests accurately reflect real human measurements.

Open Access: Yes

DOI: 10.48084/etasr.9310

Investigation of the impact of a solar panel system installed on an heavy-duty truck trailer on fuel consumption at the ZalaZONE test track

András Háry Gergő Sütheö Leticia Pekk Richárd Peszleg

Publication Name: Advances in Science and Technology Research Journal

Publication Date: 2025-01-01

Volume: 19

Issue: 4

Page Range: 304-310

Description:

This study evaluates the impact of a solar panel system installed on a heavy-duty truck (HDV) trailer on fuel consumption, tested at the ZalaZONE track. Two vehicles were assessed – diesel-powered and an liquefied natural gas (LNG) powered truck, with the latter equipped with solar panels. Over five days, the solar system powered cabin electronics, reducing idle time and fuel use. While fuel and carbon dioxide (CO₂) savings were observed, performance was limited by battery charge and sunlight exposure. The results show potential for up to 10% fuel savings, demonstrating the system’s feasibility for reducing emissions in long-haul transport, though further optimization is needed.

Open Access: Yes

DOI: 10.12913/22998624/200029

Development of a Battery Diagnostic Method Based on CAN Data: Examining the Accuracy of Data Received via a Communication Network

Gergő Sütheö Leticia Pekk Balázs Baráth

Publication Name: Energies

Publication Date: 2024-11-01

Volume: 17

Issue: 22

Page Range: Unknown

Description:

In order to reduce the emissions caused by internal combustion engine vehicles, the industry is introducing more and more electric or hybrid vehicles to the market nowadays. The battery cells and modules of these vehicles require a lot of care, as improper or improperly maintained battery units can cause serious problems inside vehicles and can be extremely dangerous. The safest solution is to keep this unit of a vehicle under constant supervision so that it can be repaired immediately in case of an issue. Since all necessary data can be extracted from a vehicle’s communication network(s) through standard communication protocols, it is advisable to use them for continuous monitoring and diagnostics of units, while also considering cost-effectiveness and simplicity. The data received from here can also be used for measurement of electric powertrains and other parameters. However, since these data go through many conversions and computers (ECUs) before reaching us, their accuracy is questionable. In this study, we present our own custom battery diagnostic tool based on data extracted from a communication network. With the help of commercially available diagnostic tools, we also compare several measurements of the extent of the error limits of the data arriving at the communication network, how far they differ from the real values, and with the help of these, we analyze the accuracy of the device we have made. We present the commonly used Controller Area Network (CAN) communication protocol for passenger vehicles and briefly describe the construction of the high-voltage battery unit of the test vehicle.

Open Access: Yes

DOI: 10.3390/en17225808

How to Develop a Sustainable Innovation Ecosystem? Example of ZalaZONE

András Háry Leticia Pekk Virag Meszaros Csilla Toth

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 883-888

Description:

The purpose of the paper is to analyse the typical research trends along the current challenges of the social, environmental and business aspects of sustainability and discuss the issues of geographically concentrated, park-like innovation ecosystems. At ZalaZONE Park as a consciously built innovation ecosystem, sustainability aspects are organically integrated into its development and into the operation approach, giving the empiric case for the research question. The ZalaZONE Energy Ecosystem Program connects the subject of sustainability with the innovation ecosystem on system level through innovative technologies and future-oriented environmental initiatives in various energy projects. In connection with this, it is also investigated is how new technologies support and ensure the long-term sustainability of the innovation ecosystem, and how the features of this relationship can be interpreted. Since ZalaZONE Park shows the characteristics of complex systems, the overall framework of the analysis is provided by the ecosystem model previously developed by the authors and further developed in the present analysis. Such a model contributes to each development step of the innovation ecosystem for sake of balanced and sustainability-oriented growth. Finally, an aggregated system model was presented including aspects of sustainability, with particular regard to the characteristics of complex systems.

Open Access: Yes

DOI: 10.3303/CET24114148

Measurement of Pedestrian Targets in Terms of Radar Cross Section

David Jozsa Leticia Pekk Marton Jagicza Gabor Laszlo Toth Denes Fodor

Publication Name: Saci 2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics Proceedings

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: 363-368

Description:

In terms of vehicle radars, the most important properties of targets are speed, distance, and radar cross section. Based on the Radar Cross Section (RCS), the type of the object can be identified with a good approximation: pedestrian, bicycle, car, truck even in extreme weather conditions. A radar cross section measures the reflectivity of an object and its numerical value is equal to the area of the cross section of a conducting sphere with the same reflectivity. Its value depends on the material and shape of the object, the angle of illumination, and the ratio between the wavelength and the size of the object. The article presents a measurement system for radar targets, the main component of which is an automotive radar. In addition, the evaluation software for the measurement system, which was created in the MATLAB / SIMULINK environment, will be presented. The measurement system was used to perform various measurements on the ZalaZONE Automotive Proving Ground (Zalaegerszeg, HUNGARY), the evaluation of which will be presented. The purpose of the measurements is to collect information about the radar cross-section values of pedestrians at different distances from the vehicle and dummies simulating them. A comparison of different pedestrians is presented. After that, we will show how even if a puppet is formally similar to a pedestrian, the RCS can show a different value.

Open Access: Yes

DOI: 10.1109/SACI58269.2023.10158601