EME 810
Solar Resource Assessment and Economics

8.1 Learning Outcomes

By the end of this lesson, you should be able to:

describe the role of risk and uncertainty in delivering solar resource units to the grid;
describe the time-space relationship in meteorological assessment;
list the current limitations of solar resource forecasting in time and space scales;
list the relevant meteorological metrics for common SECS technologies.

What is due for Lesson 8?

This lesson will take us one week to complete. Please refer to the Course Calendar in Canvas for specific time frames and due dates. Directions for the assignments below can be found within this lesson.

Lesson 8 Assignments
Required Reading:	J.R. Brownson, Solar Energy Conversion Systems (SECS), Chapters 5, 8, and 9 (sections related to Risk, Time-Space, and Meteorology) W. Short et al. (1995) Manual for the Economic Evaluation of Energy Efficiency and Renewable Energy Technologies. NREL Technical Report TP-462-5173. (read pp. 27-34: Uncertainty and Risk) Coimbra, C.F.M., Kleissl, J., and Marquez R., Chapter 8: "Overview of Solar-Forecasting Methods and a Metric for Accuracy Evaluation, in *Solar Energy Forecasting and Resource Assessment.* "J. Kleissl (ed), 2013. Elsevier Science, Academic Press. pp. 171- 194. A. Dobos, P. Gilman, M. Kasberg (2012). "P50/P90 Analysis for Solar Energy Systems Using the System Advisor Model." Presented at the 2012 World Renewable Energy Forum Denver, Colorado May 13-17, 2012. Rhino Energy webpage: "Exceedance Probabilities". Accessed Oct. 20, 2013. Alexandra von Meier (2011). "Integration of Renewable Generation in California: Coordination Challenges in Time and Space" (white paper for California Institute for Energy and Environment (CIEE)).
Optional Reading:	J. Rayl, G. S. Young, and J. R. S. Brownson. Irradiance co-spectrum analysis: Tools for decision support and technological planning. Solar Energy, 2013. doi: http://dx.doi.org/10.1016/j.solener.2013.02.029. A. C. McMahan, C. N. Grover, and F. E. Vignola. "Evaluation of Resource Risk in Solar-Project Financing", Kleissl, J. ed. Ch 4 in: Solar Energy Forecasting and Resource Assessment (2013) Academic Press. F. E. Vignola, A. C. McMahan, and C. N. Grover. "Bankable Solar-Radiation Datasets", Kleissl, J. ed. Ch 5 in: Solar Energy Forecasting and Resource Assessment (2013) Academic Press.
YELLOWDIG:	Discussion Topic 1: Space and time relationships in solar forecasting Discussion Topic 2: Nyquist-Shannon Sampling Theorem

Questions?

If you have any questions, please post them to the Lesson 8 General Questions thread in Yellowdig. I will check the forum regularly to respond. While you are in a discussion, feel free to post your own responses if you, too, are able to help out a classmate.