Tutorial 2

Tutorial 2
Energy Meteorology: Weather Intelligence for Renewable Energy, Smart Grids and Future Cities

Tutorial Overview

The inexorable move towards a low carbon global economy requires changes at many levels. Generation of renewable energy from variable natural sources like wind, sunshine, water and biomass is only the beginning. The integration of renewable generation requires input from the new disciplines of energy meteorology, irradiance and power forecasting, and grid integration, among others. We shall present short introductory tutorials on the following related topics:

1. Quantification of the renewable resource availability.
Using the example of solar irradiance, we consider resource assessment from the point of view of commercial and utility scale PV power projects, which require accurate and precise predictions of time averaged solar irradiance. We also consider the issues involved in rooftop systems, and show how accurate 3D models of urban areas can facilitate PV power deployment. Such models are crucial for the optimal design of future cities and retrofitting existing cities with sustainable technologies.

2. Grid integration and the need for forecasting
Variable renewable power can successfully be integrated into existing power grids, but grid operators, energy generators and markets all benefit from resource and power forecasts on different time scales. We review the methods used for forecasting at the minute, hour and day-ahead scales.

3. Numerical weather prediction in the tropics
Power demand and supply can both be dominated by meteorological events. Numerical weather prediction (NWP) is a mature technique deployed globally for operational weather forecasts. We describe how SERIS is using standard weather forecasting methods to provide PV power forecasts in the challenging tropical environment.

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Overview of all the PVSEC-26 Tutorials


Tutorial conductor: Dr Wilfred WALSH, SERIS

Wilfred Walsh is a physicist and astronomer currently working in the new field of energy meteorology which aims to quantify renewable energy resources to facilitate the large scale deployment of sustainable energy sources. At present his work focuses on solar irradiance forecasting and grid management for cities with high penetration levels of solar photovoltaic electricity generation.