@article{e0298c8b92b34eb3afba053a80c7b728,
title = "Renewable energy management system for Saudi Arabia: Methodology and preliminary results",
abstract = "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.",
keywords = "Concentrated solar power, Forecast, Management system, Photovoltaic, Power generation, Renewables",
author = "Imen Gherboudj and Mohamed Zorgati and Chamarthi, \{Phani Kumar\} and Arttu Tuomiranta and Baraa Mohandes and Beegum, \{Naseema S.\} and Jood Al-Sudairi and Omar Al-Owain and Hussain Shibli and Mohamed El-Moursi and Ghedira, \{Mohamed Hosni\}",
note = "Funding Information: The five-stage approach for developing a renewable energy management system consists of (i) modelling relevant meteorological variables, atmospheric composition, and surface solar irradiance using the numerical weather prediction models coupled with the chemistry transport model, (ii) modelling solar systems (PV and PTC) that transform the weather and solar forecasts into power generation, (iii) developing a display platform for meteorological and electrical power generation forecasts, (iv) development and implementation of the core system that wrap-up all system components, and (v) development of the procedures to support a decision-making process (Fig. 2). Different approaches and technologies are available for developing each of the steps mentioned above. Regardless of the method selected, solar power forecasting relies on the weather, atmospheric, and solar forecasting schemes, as described in section 3.1. Such information is essential to manage the electricity grid and solar energy trading.The client-side components (JavaScript, HTML: Hypertext Markup Language, CSS: Cascading Style Sheets, AJAX: Asynchronous JavaScript and XML, OpenLayers, Leaflet) are commonly used to create a webpage, control the display, and embed a web map, while server-side (PHP: Hypertext Preprocessor, ASP.NET: Active Server Pages, Java, Python, and Ruby) run on a web server and respond to client requests via HTTP [19]. Generally, the open-source libraries, such as JQuery, Bootstrap, and Vue, are used to facilitate development with scripting languages; however, given recent advances in web technology (JavaScript and HTML5) and the application programming interfaces such as Google Maps API, Esri ArcGIS for JavaScript, ArcGIS Runtime SDKs, and RESTful API (Representational state transfer), such tools are increasingly used for building robust web applications tailored to specific operating systems [19]. APIs consist of a collection of programming components (functions, subroutines, protocols, procedures, and tools) that communicate with each other and allow the developer to create either a web server or web service using a particular computer language [17]. The most common web services defined by Open GIS Consortium (OGC) are (i) Web Mapping Service (WMS), which enables the user to display and interact with the georeferenced map, (ii) Web Feature Service (WFS), which allows the user to retrieve and update features of the georeferenced data, and (iii) Web Feature Service Transactional (WFS-T), which enables the user to edit geometry data in the database without granting direct access to the databases [18].This project was funded by the King Abdullah City for Atomic and Renewable Energy (KACARE), Riyadh, Saudi Arabia, and developed at Khalifa University of Science and Technology, Abu-Dhabi, United Arab Emirates. We acknowledge the Elia Grid International for their support in this project. The support and resources from the High-Performance Computing Cluster King Abdullah University for Science and Technology (KAUST) and Khalifa University of Science and Technology are also gratefully acknowledged. We would like to thank Dr Sergio Martinez for his helpful support in developing this research, Dr Stephanie Clarke and Russ Jones for the proof-reading the manuscript, Dr Miguel Frasquet Herraiz and Dr Mercedes Ibarra for their technical support, and Mohammed Al Suhaibani and for their valuable comments. Funding Information: This project was funded by the King Abdullah City for Atomic and Renewable Energy (KACARE), Riyadh, Saudi Arabia, and developed at Khalifa University of Science and Technology , Abu-Dhabi, United Arab Emirates. We acknowledge the Elia Grid International for their support in this project. The support and resources from the High-Performance Computing Cluster King Abdullah University for Science and Technology (KAUST) and Khalifa University of Science and Technology are also gratefully acknowledged. We would like to thank Dr Sergio Martinez for his helpful support in developing this research, Dr Stephanie Clarke and Russ Jones for the proof-reading the manuscript, Dr Miguel Frasquet Herraiz and Dr Mercedes Ibarra for their technical support, and Mohammed Al Suhaibani and for their valuable comments. Publisher Copyright: {\textcopyright} 2021 Elsevier Ltd",
year = "2021",
month = oct,
doi = "10.1016/j.rser.2021.111334",
language = "British English",
volume = "149",
journal = "Renewable and Sustainable Energy Reviews",
issn = "1364-0321",
publisher = "Elsevier Ltd",
}
SDG 7 Affordable and Clean Energy