Solar irradiance forecasting using global positioning system (GPS) derived atmospheric water vapor

Elumalai, Nazreendran (2020) Solar irradiance forecasting using global positioning system (GPS) derived atmospheric water vapor. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The increase in contribution of renewable energy resources into the grid is a part of clever grid initiatives. The challenge of grid operators is to integrate the renewables such as solar energy into electrical energy. Because its intermittency due to weather variations. Despite this, the installed capacity of solar PV globally continues to increase. Thus, forecasting is becoming an important tool for the system grid operators to manage the solar photovoltaic (PV) energy production and satisfy the demand of energy consumers. Solar radiation measurement will be decreased when the atmospheric water vapor content is increased. This is due to absorption of solar radiation by water vapor in atmosphere and local weather activity. GPS data was used to find precipitable water vapor (PWV), zenith wet delay (ZWD) and zenith total delay (ZTD). Moreover, this project was investigated the interaction and relation between precipitable water vapor (PWV), weather data and solar irradiance were assessed. Solar irradiance was forecasted using two type of time series forecasting model in MATLAB.

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