Parametric analysis and systems design of dynamic photovoltaic shading modules

Energy Science and Engineering - Tập 4 Số 2 - Trang 134-152 - 2016
Johannes Hofer1, Abel Groenewolt2, Prageeth Jayathissa1, Zoltán Nagy1, Arno Schlueter1
1Architecture and Building Systems Institute of Technology in Architecture ETH Zurich John‐von‐Neumann Weg 9 8093 Zürich Switzerland
2Institute for Computational Design, University of Stuttgart, Keplerstrasse 11, 70174, Stuttgart, Germany

Tóm tắt

AbstractShading systems improve building energy performance and occupant comfort by controlling glare, natural lighting, and solar gain. Integrating PV (photovoltaics) in shading systems opens new opportunities for BIPV (building integrated photovoltaics) on façades. A key problem of such systems is mutual shading among PV modules as it can lead to electrical mismatch losses and overheating effects. In this work, we present a new modeling framework, which couples parametric 3D with high‐resolution electrical modeling of thin‐film PV modules to simulate electric energy yield of geometrically complex PV applications. The developed method is able to predict the shading pattern for individual PV modules with high spatio‐temporal resolution, which is of great importance for electrical system design. The methodology is applied to evaluate the performance of different dynamic BIPV shading system configurations, as well as its sensitivity to façade orientation and module arrangement. The analysis shows, that there is a trade‐off between tracking performance and mutual shading of modules. Distance between modules is a critical parameter influencing the amount of mutual shading and hence limiting solar irradiation and electricity generation of PV shading systems using solar tracking. Planning of module string configuration, PV cell orientation, and location of bypass diodes according to partial shading conditions, reduces electrical mismatch losses and results in significantly higher electricity generation. The integration of parametric 3D and electrical modeling opens new possibilities for PV system design and dynamic control optimization. Though the analysis focuses on BIPV, the method is useful for the planning and operation of solar tracking systems in general.

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Energy Science and Engineering

Tập 4 Số 2

134-152

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