Shadow Effect on 3D City Modeling for Photovoltaic cells

1. Shadow Effect on 3D City Modeling for Photovoltaic cells By Md. Nazmul Alam Supervised by Prof. Dr.-Ing. Volker Coors Dr. Dipl.-Ing. Sisi Zlatanova 16 th september 2010

2. Contents Background Problem Statement Shadow analysis Data Current Status Methodology Proposed Schedule Biblography 2

3. Renewable Energy. Photovoltaics. MSc Thesis � Solar Panel Calculation. Idea and Objectives of MSc thesis. Background 3

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5. Background (cont...) Shadow in this case was not deeply considered. Shadow effect was a very big question. Problem was not possible to solve with 2D approach. 3D models was the only solution. 5

6. Problem Statement In order to get optimum output from the photovoltaic cells, consumer needs to know the potentiality of the photovoltaic cells where he wants to install it. Right now, there are a number of sources providing service to predict produced energy by the photovoltaic cells. But mostly shadow is not being considered. If consumer invest on photovoltaic cells trusting the impractical prediction, he will definitely loose a huge money. An accurate technique for detecting shadow and its effect using the latest technogoly will eliminate this problem. I propose to research development of such a method to determine shadow effect on 3D city modeling for photovoltaic cells. 6

7. Shadow Analysis 7

8. Different Approaches... Castro, 2007. Ike & Kurokawa. Eicker, 2003. solar city 3D 8

9. Technologies CityGML Java CAT3D 9

10. Data 10

11. Current Status 11

12. Approach 12 Find out the roofs from the facesets. Triangulate the roof Further triangulate to achive desired resolution Take the centroid to check shadow for the triangle Check if the sun�s ray intersects any other surface to reach the target Mark the triangles and produce shadow and non shadow facesets

13. Methodology 13

14. Year 1 Literature review of standard approaches Gathering all the data needed for determining shadow Learn INSEL and other necessary things Investigate 3D database models and if that is sufficient for the purpose. Determining the parameters Developing the algorithm to calculate shadow Proposed Schedule 14

15. Biblography Castro, F. G. (2007). Sustainable Energy Competence. Stuttgart. Eicker, U. (2003). Solar Technologies for Buildings. Wiley. Ike, S., & Kurokawa, K. (2005). Photogrammetric estimation of shading impacts on photovoltaic systems. Photovoltaic Specialists Conference , 1796- 1799. Jewell, W. T., & Unruh, T. d. (1990). Limits on cloud-induced fluctuation in photovoltais generation. Energy Conversion , Volume 5, Issue 1, Page(s):8 - 14. Nguyen, D., & Lehman, B. (2008). A Reconfigurable Solar Photovoltaic Array Under Shadow Conditions. Applied Power Electronics Conference and Exposition. , Twenty-Third Annual IEEE Volume , Issue , 24-28 Feb. 2008 Page(s):980 - 986. Wenham, S. R., Green, M. A., Watt, M. E., & Corkish, R. (1992). Applied Photovoltaics. Earthscan. Zhang, Q., Sun, X., Zhong, Y., & Matsui, M. (2003). A Novel Topology for Solving the Partial Shading Problem in Photovoltaic Power Generation System. Power Electronics , Volume 18, Issue 2, Page(s): 704 - 711. 15

16. Thank You&Questions? 16