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A gray box modeling of a photovoltaic cell under low illumination in materials handling application | IEEE Conference Publication | IEEE Xplore

A gray box modeling of a photovoltaic cell under low illumination in materials handling application


Abstract:

This paper presents a gray box model of a photovoltaic (PV) cell working under low illuminance artificial indoor lighting conditions. A mathematical model of PV cells wit...Show More

Abstract:

This paper presents a gray box model of a photovoltaic (PV) cell working under low illuminance artificial indoor lighting conditions. A mathematical model of PV cells with single and two diode configuration is used. Additionally a platform for the measurement of the PV cells within the indoor environment is presented. An optimization problem is formulated to tune the internal parameters of the mathematical models according to the collected data from measurement platform. Fluorescent and halogen lights are used as two common indoor lighting sources. The fine-tuned mathematical model with calculated parameters is implied to evaluate the performance of the gray box model compared to the measured data. Finally, to avoid using multiple models for different environmental conditions, regression techniques are used to generalize the model only based on the irradiance.
Date of Conference: 10-13 December 2015
Date Added to IEEE Xplore: 21 April 2016
ISBN Information:
Electronic ISSN: 2380-7393
Conference Location: Marrakech, Morocco
Citations are not available for this document.

I. Introduction

The rising energy requirement of the world and the exhausting fossil fuels have given rise to the use of renewable energy resources such as solar energy [1]. Energy from solar cells are utilized for small and medium power based applications, as well as uses for powering the satellites in space [2]. According to the current state, a considerable amount of research is pursued to harvest energy from PhotoVoltaic (PV) cells under the outdoor lighting conditions.

Cites in Papers - |

Cites in Papers - IEEE (6)

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1.
Xinyu Ma, Sebastian Bader, Bengt Oelmann, "On the Performance of the Two-Diode Model for Photovoltaic Cells Under Indoor Artificial Lighting", IEEE Access, vol.9, pp.1350-1361, 2021.
2.
Sebastian Bader, Xinyu Ma, Bengt Oelmann, "A Comparison of One- and Two-Diode Model Parameters at Indoor Illumination Levels", IEEE Access, vol.8, pp.172057-172064, 2020.
3.
Xinyu Ma, Sebastian Bader, Bengt Oelmann, "Power Estimation for Indoor Light Energy Harvesting Systems", IEEE Transactions on Instrumentation and Measurement, vol.69, no.10, pp.7513-7521, 2020.
4.
Mojtaba Masoudinejad, Michele Magno, Luca Benini, Michael ten Hompel, "Average Modelling of State-of-the-Art Ultra-low Power Energy Harvesting Converter IC", 2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), pp.99-104, 2018.
5.
Robert Falkenberg, Jens Drenhaus, Benjamin Sliwa, Christian Wietfeld, "System-in-the-loop design space exploration for efficient communication in large-scale IoT-based warehouse systems", 2018 Annual IEEE International Systems Conference (SysCon), pp.1-6, 2018.
6.
Xinyu Ma, Sebastian Bader, Bengt Oelmann, "Solar panel modelling for low illuminance indoor conditions", 2016 IEEE Nordic Circuits and Systems Conference (NORCAS), pp.1-6, 2016.

Cites in Papers - Other Publishers (6)

1.
Indranil Brahma, Robert Jennings, Bradley Freid, "Using physics to extend the range of machine learning models for an aerodynamic, hydraulic and combusting system: The toy model concept", Energy and AI, vol.6, pp.100113, 2021.
2.
Bastien Politi, Stéphanie Parola, Antoine Gademer, Diane Pegart, Marie Piquemil, Alain Foucaran, Nicolas Camara, "Practical PV energy harvesting under real indoor lighting conditions", Solar Energy, vol.224, pp.3, 2021.
3.
Mojtaba Masoudinejad, "Data-Sets for Indoor Photovoltaic Behavior in Low Lighting Conditions", Data, vol.5, no.2, pp.32, 2020.
4.
Xinyu Ma, Sebastian Bader, Bengt Oelmann, "A Scalable, Data-driven Approach for Power Estimation of Photovoltaic Devices under Indoor Conditions", Proceedings of the 7th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems - ENSsys19, pp.29, 2019.
5.
Sebastian Bader, Xinyu Ma, Bengt Oelmann, "One-diode photovoltaic model parameters at indoor illumination levels ? A comparison", Solar Energy, vol.180, pp.707, 2019.
6.
Arturo Fajardo Jaimes, Fernando Rangel de Sousa, "Simple modeling of photovoltaic solar cells for indoor harvesting applications", Solar Energy, vol.157, pp.792, 2017.
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References

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