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Energy meteorology studies investigating the impact of clouds on solar energy production – Coupling a spectrally resolved radiation model and a two-diode model for solar cells to simulate PV power yields

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EMS Annual Meeting Abstracts Vol. 12, EMS2015-69, 2015 15th EMS / 12th ECAM

© Author(s) 2015. CC Attribution 3.0 License.

E M SA n n ua l M ee ting on Applications of Meteorology

ECAM

y European Conference

Energy meteorology studies investigating the impact of clouds on solar energy production – Coupling a spectrally resolved radiation model and a two-diode model for solar cells to simulate PV power yields

Ina Neher (1), Evandro Dresch (2), Khurshid Hasan (1), Bernd Evers-Dietze (2), Dieter Franke (2), and Stefanie K. Meilinger (1)

(1) International Center for Sustainable Development, University of Applied Sciences Bonn-Rhein-Sieg, Sankt Augustin, Germany (Ina.Neher@h-brs.de), (2) Department of Electrical/Mechanical Engineering and Technical Journalism, University of Applied Sciences Bonn-Rhein-Sieg, Sankt Augustin, Germany

Solar energy is one option to serve the rising global energy demand with low environmental Impact [1].

Building an energy system with a considerable share of solar power requires long-term investment and a careful investigation of potential sites. Therefore, understanding the impacts from varying regionally and locally determined meteorological conditions on solar energy production will influence energy yield projections.

Clouds are moving on a short term timescale and have a high influence on the available solar radiation, as they absorb, reflect and scatter parts of the incoming light [2]. However, modeling photovoltaic (PV) power yields with a spectral resolution and local cloud information gives new insights on the atmospheric impact on solar energy.

In the present study we present a model, which couples atmospheric impacts from clouds on radiation out- puts and their influence on PV yields to analyze the impact of clouds on PV power yields. An atmospheric column model, the libradtran library [3], is used, which simulates direct, diffuse and global radiation in a one-nanometer resolution. For the information about cloud coverage and type the satellite based APOLLO [4] methodology is applied and implemented into the radiation model. The determination of the short-circuit-current of the PV plant is directly undertaken by using the quantum efficiency of the cell [5]. Afterwards, the two-diode-model[6,7] is used for the calculation of the PV power yields for each spectral step. The minimal timely resolution is 15min. To validate the model measurements of solar radiation, cloudiness and PV-energy yields are set out at the location of Bonn-Rhein-Sieg University (5046’47"N, 710’58"E).

References:

[1] Solangi, K. H., Islam, M. R., Saidur, R., Rahim, N. a. & Fayaz, H. A review on global solar energy policy.

Renew. Sustain. Energy Rev. 15, 2149–2163 (2011).

[2] Cai, C. & Aliprantis, D. C. Cumulus cloud shadow model for analysis of power systems with photovoltaics.

IEEE Trans. Power Syst. 28, 4496–4506 (2013).

[3] Mayer, B. & Kylling, A. Technical note: The libRadtran software package for radiative transfer calculations - description and examples of use. Atmos. Chem. Phys. Discuss. 5, 1319–1381 (2005).

[4] Saunders, R. W. & Kriebel, K. T. An improved method for detecting clear sky and cloudy radiances from AVHRR data. Int. J. Remote Sens. 9, 123–150 (1988).

[5] Zinßer, B., Schubert, M. B. & Werner, J. H. Spectral Dependent Annual Yield of Different Photovoltaic Technologies. Proc. 26th Eur. Photovolt. Sol. Energy Conf. Exhib. 3615–3618 (2011).

[6] Sah, C.-T. S. C.-T., Noyce, R. N. & Shockley, W. Carrier Generation and Recombination in P-N Junctions and P-N Junction Characteristics. Proc. IRE 45, (1957).

[7] Ishaque, K., Salam, Z. & Taheri, H. Accurate MATLAB Simulink PV System Simulator Based on a Two-Diode Model. J. Power Electron. 11, 179–187 (2011).

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