文档介绍：Solar aspects of papers
Chris Rodgers
May 10, 2007
Professor Schroeder
GIS Seminar
Solar Potential on the Middlebury College Campus using the ESRI Solar Analyst Tool
Questions
How do insolation models created by the Solar Analyst tool in ArcGIS to actual pyranometer piled from readings of building rooftops on campus?
What is the solar potential of building rooftops on the Middlebury College Campus?
Where are the best (most efficient) locations on campus to place photovoltaic arrays?
Why?
This project is important because it has some tangible goals. If photovoltaics are ever placed on this campus, the insolation map and pyranometer data will both provide excellent starting points for assessing the most efficient locations, especially if we can effectively use information from both of these sources in tandem. Cost/benefit analyses of different photovoltaic systems can be used to determine ideal size and quantity of panels. Although these may seem to be relatively simple means for addressing a plex problem, their utility at this scale has not been assessed until recently by Vandal (2007). Which leads to another important part of this project: to further investigate the usefulness of the Solar Analyst tool. In his paper A geometric solar radiation model with applications in agriculture and forestry, Pinde Fu notes that his model uses few parameters but has exceptional accuracy for the sparse number of field measurements it requires
(Fu and Rich, 2002). Solar Analyst has similar time and energy saving potential in this application on the Middlebury College campus, but its capacity for proper photovoltaic site identification still needs to be tested.
Data Sets
As described briefly above there are two main datasets that I will be working with. The first dataset is a high resolution digital terrain model (DTM) of the Middlebury College campus with ~2 foot accuracy. Another is a dataset generated by the Solar Analyst tool in ArcGIS which is de