Abstract
The variability of solar irradiance at a given site is often quantified using a single point sensor, rather than multiple sensors. Thus, the temporal aspect of variability is considered while the spatial aspect is ignored. We will construct a new, two-dimensional solar variability metric called the Surface Area Metric (SAM) that quantifies both the spatial and temporal variability. The SAM is calculated by first creating a surface plot of irradiance data over a given area for a single time step and then calculating changes in the surface area over time. The SAM will be calculated for each second of a day for four one-week periods that represent the characteristic seasons in Northern Arizona. The SAM will then be directly compared to Sandia's single-sensor Variability Index (VI) and we will determine how well correlated the VI is with the SAM.
| Original language | English (US) |
|---|---|
| Title of host publication | 43rd ASES National Solar Conference 2014, SOLAR 2014, Including the 39th National Passive Solar Conference and the 2nd Meeting of Young and Emerging Professionals in Renewable Energy |
| Publisher | American Solar Energy Society |
| Pages | 257-264 |
| Number of pages | 8 |
| Volume | 1 |
| ISBN (Print) | 9781510801790 |
| State | Published - 2014 |
| Event | 43rd ASES National Solar Conference 2014, SOLAR 2014, Including the 39th National Passive Solar Conference and the 2nd Meeting of Young and Emerging Professionals in Renewable Energy - San Francisco, United States Duration: Jul 6 2014 → Jul 10 2014 |
Other
| Other | 43rd ASES National Solar Conference 2014, SOLAR 2014, Including the 39th National Passive Solar Conference and the 2nd Meeting of Young and Emerging Professionals in Renewable Energy |
|---|---|
| Country/Territory | United States |
| City | San Francisco |
| Period | 7/6/14 → 7/10/14 |
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment