10.1007/s40095-016-0215-3

Methods for modelling and analysis of bendable photovoltaic modules on irregularly curved surfaces

  1. Architecture and Building Systems, Institute of Technology in Architecture (ITA), ETH Zurich, Zurich, 8093, CH
  2. ZJA, Zwarts & Jansma Architects, Amsterdam, NL-1086 XK, NL
Cover Image

Published in Issue 2016-08-02

How to Cite

Groenewolt, A., Bakker, J., Hofer, J., Nagy, Z., & Schlüter, A. (2016). Methods for modelling and analysis of bendable photovoltaic modules on irregularly curved surfaces. International Journal of Energy and Environmental Engineering, 7(3 (September 2016). https://doi.org/10.1007/s40095-016-0215-3

HTML views: 81

PDF views: 118

Abstract

Abstract Most photovoltaic modules are planar and as a result, research on panel layout for photovoltaic systems typically uses planar panels. However, the increased availability of thin-film photovoltaic modules opens up possibilities for the application of flexible solar panels on irregularly curved surfaces, including the integration of photovoltaic panels on building roofs with double curvature. In order to efficiently arrange photovoltaic panels on such surfaces, geometric CAD tools as well as radiation analysis tools are needed. This paper introduces a method to generate geometry for flexible photovoltaic modules on curved surfaces, as well as a method to arrange multiple of such modules on a surface. By automating the generation of possible photovoltaic panel arrangements and linking the geometric tools to solar analysis software, large numbers of design options can be analysed in a relatively short time. This combination of geometry generation and solar analysis provides data that is important for electrical design of photovoltaic systems. The merits of the methods we introduce are illustrated with a case study, for which hundreds of design configurations have been explored in an automated manner. Based on analysis of the numeric data generated for each of the configurations, the effects of panel dimensions and orientation on solar insolation potential and panel curvature have been established. The quantitative and qualitative conclusions resulting from this analysis have informed the design of the photovoltaic system in the case study project.

Keywords

  • Flexible photovoltaic modules,
  • Geometry,
  • Double curvature,
  • Surface rationalisation,
  • Solar analysis

References

  1. Díaz-Dorado et al. (2011) Optimal distribution for photovoltaic solar trackers to minimize power losses caused by shadows 36(6) (pp. 1826-1835) https://doi.org/10.1016/j.renene.2010.12.002
  2. Ng et al. (2014) Assessment of solar radiation on diversely oriented surfaces and optimum tilts for solar absorbers in Malaysian tropical latitude 5(1) (pp. 1-13) https://doi.org/10.1007/s40095-014-0075-7
  3. Gordona and Wengera (1991) Central-station solar photovoltaic systems: field layout, tracker, and array geometry sensitivity studies 46(4) (pp. 211-217) https://doi.org/10.1016/0038-092X(91)90065-5
  4. Choo and Janssen (2014) Evolutionary optimisation of semitransparent building integrated photovoltaic facades 12(1) (pp. 81-100) https://doi.org/10.1260/1478-0771.12.1.81
  5. Sun et al. (2012) Optimum design of shading-type building-integrated photovoltaic claddings with different surface azimuth angles (pp. 233-240) https://doi.org/10.1016/j.apenergy.2011.01.062
  6. Hofer, J., Nagy, Z., Schlueter, A.: Electrical design and layout optimization of flexible thin-film photovoltaic modules. In: EU PVSEC conference, Munich (2016)
  7. Sharma et al. (2012) A novel approach for maximum power tracking from curved thin-film solar photovoltaic arrays under changing environmental conditions 50(6) (pp. 4142-4151) https://doi.org/10.1109/TIA.2014.2322136
  8. Rippmann et al. (2012) Interactive vault design 27(4) (pp. 219-230) https://doi.org/10.1260/0266-3511.27.4.219
  9. Williams et al. (2011) A case study of a collaborative digital workflow in the design and production of formwork for ‘non-standard’ concrete structures 9(3) (pp. 223-240) https://doi.org/10.1260/1478-0771.9.3.223
  10. Schwinn et al. (2013) Robotically fabricated wood plate morphologies (pp. 48-61) Springer
  11. Park et al. (2012) Potential use of structural layout optimization at the conceptual design stage 10(1) (pp. 13-32) https://doi.org/10.1260/1478-0771.10.1.13
  12. Scheurer (2010) Materialising complexity 80(4) (pp. 86-93) https://doi.org/10.1002/ad.1111
  13. Kolarevic (2003) Spon
  14. Lin (2014) Flexible photovoltaic technologies 2(7) (pp. 1233-1247) https://doi.org/10.1039/c3tc32197e
  15. Yalden (1920) The design and construction of a small observatory (pp. 449-458)
  16. Hofer et al. (2016) Parametric analysis and systems design of dynamic photovoltaic shading modules 4(2) (pp. 134-152) https://doi.org/10.1002/ese3.115
  17. Dolara et al. (2013) Experimental investigation of partial shading scenarios on PV (photovoltaic) modules (pp. 466-475) https://doi.org/10.1016/j.energy.2013.04.009
  18. Kidder (1917) The Sheet Metal Publication Company
  19. Frey (2002) Boundary triangulations approximating developable surfaces that interpolate a closed space curve (pp. 285-302) https://doi.org/10.1142/S0129054102001096
  20. Tang and Wang (2005) Modeling developable folds on a strip 5(1) (pp. 35-47) https://doi.org/10.1115/1.1804206
  21. Wallner et al. (2010) Tiling freeform shapes with straight panels: algorithmic methods (pp. 73-86) Springer https://doi.org/10.1007/978-3-7091-0309-8_5
  22. Crawley et al. (2000) EnergyPlus: energy Simulation Program 42(4) (pp. 49-56)
  23. Roudsari, M.S., Pak, M., Smith, A.: Ladybug: a parametric environmental plugin for grasshopper to help designers create an environmentally-conscious design. In: Proceedings of Building Simulation 2013: 13th Conference of International Building Performance Association, IBPSA, pp. 26–28. Chambery (2013)
  24. Grasshopper—algorithmic modeling for Rhino.
  25. http://www.grasshopper3d.com
  26. . Accessed 23 Oct 2015
  27. Rhinoceros.
  28. https://www.rhino3d.com/
  29. . Accessed 23 Oct 2015
  30. Robinson, D., Stone, A.: Irradiation modelling made simple: the cumulative sky approach and its applications. In: PLEA Conference, 19–22 (2004)
  31. Ibarra, D., Reinhart, F.: Solar availability: a comparison study of six irradiation distribution methods. In: Proceedings of Building Simulation 2011: 12th Conference of International Building Performance Simulation Association. Sydney (2011)
  32. ASHRAE, International Weather for Energy Calculations (IWEC Weather Files) Users Manual and CD-ROM. ASHRAE, Atlanta (2001)
  33. Jakubiec, A., Reinhart, C.F.: DIVA 2.0: integrating daylight and thermal simulations using Rhinoceros 3D, DAYSIM and EnergyPlus. In: Proceedings of Building Simulation 2011, 12th Conference of International Building Performance Simulation Association, pp. 2202–2209. IBPSA, Sydney (2011)
  34. LuxRender.
  35. http://www.luxrender.net
  36. . Accessed 23 Oct 2015
  37. Konstantopoulos and Koutroulis (2014) Global maximum power point tracking of flexible photovoltaic modules 29(6) (pp. 2817-2828) https://doi.org/10.1109/TPEL.2013.2275947
  38. Sharma et al. (2014) A novel approach for maximum power tracking from curved thin-film solar photovoltaic arrays under changing environmental conditions 50(6) (pp. 4142-4151) https://doi.org/10.1109/TIA.2014.2322136
  39. Mazumdar, P., Enjeti, P. N., Balog, R. S.: Smart PV modules—design considerations. In: 2012 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE (2012)
  40. NEST HiLo: ultra-lightweight & super-integrated.
  41. http://hilo.arch.ethz.ch
  42. . Accessed 23 Oct 2015
  43. Veenendaal and Block (2014) Design process for a prototype concrete shells using a hybrid cable-net and fabric formwork (pp. 39-50) https://doi.org/10.1016/j.engstruct.2014.05.036