Renewable energy management system for Saudi Arabia: Methodology and preliminary results

• Published in: Renewable & sustainable energy reviews 2021-10, Vol.149, p.111334, Article 111334
• Main Authors: Gherboudj, Imen, Zorgati, Mohamed, Chamarthi, Phani-Kumar, Tuomiranta, Arttu, Mohandes, Baraa, Beegum, Naseema S., Al-Sudairi, Jood, Al-Owain, Omar, Shibli, Hussain, El-Moursi, Mohamed, Ghedira, Hosni
• Format: Article
• Language: English
• Subjects: Concentrated solar power; Forecast; Management system; Photovoltaic; Power generation; Renewables
• ISSN: 1364-0321; 1879-0690
• DOI: 10.1016/j.rser.2021.111334

A Renewable Energy Management System (REMS) has been developed for Saudi Arabia to provide the system operator with the daily day-ahead electrical power generation forecasts. The core models included in REMS are: (i) adapted weather research and forecasting (WRF-solar) model that predicts weather conditions and solar irradiance components based on the aerosol (natural and anthropogenic) properties from CHIMERE chemistry transport model, (ii) renewable power prediction schemes that predict electrical power for specific solar technologies (photovoltaic and concentrating solar power plants) at different scales (plant, substation, area, and country land), and (iii) cutting-edge web-interface and geospatial technologies that enable interactive data visualisation on screens of the power plant characteristics and predicted variables over a four-day time frame (two days prior, current day, and a day ahead). The performance of the REMS was evaluated using the actual power output data from Masdar City 10 MW solar photovoltaic power plant and Shams 100 MW concentrated solar power plant in Abu Dhabi, the United Arab Emirates (UAE). The obtained results show the applicability and accuracy of the modelling framework. Currently, REMS simulates the performance of any set of renewable energy scenarios considering daily day-ahead forecasts. But the eventual use of the system in daily operations coupled with decision-making procedures will ensure efficient monitoring and management of renewable assets over time. •Renewable Energy Management System prototype is presented for Saudi Arabia.•Numerical weather prediction model and chemistry transport model were used to predict weather and atmospheric conditions.•An accurate model of solar power technologies performance is used to estimate the power generation.•The Renewable Energy Management System runs predictions of power generation for real and hypothetical scenarios.•This tool aims to incentivise a shift toward renewables in Saudi Arabia.