GC030
Energy Meteorology 1 – Solar Irradiance Resourcing and Forecasting
Session ID#: 77129
Session Description:
Solar Forecasting is an enabling technology for integration of weather-dependent energy technologies into the power grid. Combined with resourcing, solar forecasting can be used for siting, planning, control, operations, scheduling and integration of large-scale power plants that will provide a substantial fraction of the power needs for the world population in the next 50 years. The talks in this session will give an overview of the state-of-the art efforts in predicting optical properties and transport of clouds and aerosols for solar forecasting horizons spanning minutes to several days ahead.
This is one of a three-session contribution sponsored by the American Institute of Physics Publishing (AIPP), and will be chaired by the new Editor-in-Chief for the Journal of Renewable and Sustainable Energy (JRSE) who aims to make JRSE the home journal for researchers with interests in energy meteorology and climatology and wind and solar resourcing and forecasting.
Index Terms:
3311 Clouds and aerosols [ATMOSPHERIC PROCESSES]
3346 Planetary meteorology [ATMOSPHERIC PROCESSES]
3355 Regional modeling [ATMOSPHERIC PROCESSES]
3359 Radiative processes [ATMOSPHERIC PROCESSES]
Primary Convener: Carlos F Coimbra, University of California San Diego, La Jolla, CA, United States
Convener: Jan P Kleissl, Univ of California, San Diego, San Diego, CA, United States
Primary Liaison: Melinda Marquis, NOAA, ESRL/GSD, Boulder, CO, United States
Spatio-temporal variability of clouds and associated shortwave radiative effects in West Africa with a satellite-based and reanalysis data (492029)
Derrick Kwadwo Danso1, Sandrine Anquetin2, Arona Diedhiou2, Christophe Lavaysse2, Evelyne N'datchoh Toure3 and Arsene Toka Kobea1, (1)Université Félix Houphouet Boigny, LAPA-MF, Abidjan, Côte D'ivoire, (2)Université Grenoble Alpes, IRD, CNRS, Grenoble-INP, IGE, Grenoble, France, (3)UNIVERSITY FELIX HOUPHOUET BOIGNY (UFHB-SSMT), PHYSIC, ABIDJAN, Côte D'ivoire
Geospatial analysis and prediction of Solar Energy at Rural area using Helosat-4, Global Solar Atlas, NASA POWER, SMARTS, and measured data in Hadoop (511263)
Mudit Kapoor, Indian Institute of Technology Roorkee, Geomatics Engineering, CED, Roorkee, India and Rahul Dev Garg, Professor, Indian Institute of Technology, Roorkee, Geomatics Engineering, Civil Engineering, Roorkee, India
Probabilistic Solar Power Forecasting for Electric Utility Operations (517029)
Bri-Mathias Hodge, National Renewable Energy Laboratory Golden, Golden, CO, United States, Kate Doubleday, University of Colorado Boulder, Department of Electrical, Computer & Energy Engineering, Boulder, United States, Jose Daniel Lara, University of California Berkeley, Brekeley, United States and William Kleiber, University of Colorado, Boulder, CO, United States
The project PerduS – Improving the forecast and observations of Saharan dust induced reductions on photovoltaic power production in Germany (581110)
Florian Filipitsch1, Vanessa Bachmann2, Jonas Straub2, Ali Hoshyaripour3, Frank Wagner3, Jochen Förstner2, Bernhard Vogel3, Axel Seifert2, Detlev Majewski2 and Lionel Doppler1, (1)Deutscher Wetterdienst Meteorological Observatory Lindenberg, Lindenberg, Germany, (2)Deutscher Wetterdienst (DWD), Offenbach am Main, Germany, (3)Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Karlsruhe, Germany
Physics-based, Data-driven Solar Irradiance Forecasting (591443)
Hugo T. Carreira Pedro1, Carlos F Coimbra1, David P Larson2 and Mengying Li1, (1)University of California San Diego, La Jolla, CA, United States, (2)University of California San Diego, San Diego, United States
Physics-Based Persistence Models for Forecasting Solar Total, Direct and Diffuse Irradiances Under Cloudy Conditions (612744)
Weijia Liu1,2, Yangang Liu1, Xin Zhou1 and Shinjae Yoo1, (1)Brookhaven National Laboratory, Upton, NY, United States, (2)Nanjing University of Information Science and Technology, Nanjing, China
High-frequency Forecasting of Solar Radiation using a Hybrid Numerical Weather Prediction and Stochastic Downscaling Model (613041)
Andrew Kumler1, Yu Xie2, Manajit Sengupta1, Yangang Liu3, Wenqi Zhang2, Anthony Florita2 and Barry Mather2, (1)National Renewable Energy Laboratory Golden, Golden, CO, United States, (2)National Renewable Energy Laboratory, Golden, CO, United States, (3)Brookhaven National Laboratory, Upton, NY, United States
