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Renewable energy sources rely heavily on weather conditions and availability of natural resources, such as solar radiation and wind. Within HY4RES, the development of models for renewable energy prediction is therefore crucial to produce sustainable electricity in the four pilot sites. The first step to do so is to collect accurate data on weather forecast within an app: a task carried out by Easy Hydro, one of the HY4RES partners.
The HY4RES Weather Forecast App for Renewable Energy Prediction provides a comprehensive set of over 30 weather variables including: temperature, humidity, precipitation, wind speed, air pressure or UV index, with forecasts up to 15 days ahead. The app will be useful to schedule different works and energy management strategies based on daily updates of weather forecasts.
Easy Hydro has developed this desktop app integrating an API (Application Programming Interface) that allows gathering weather forecast data on an hourly basis. A graphical example of the weather forecast accessed by the app is shown in the graphic below, where some of the variables gathered are plotted.
The HY4RES Weather Forecast App for Renewable Energy Prediction will help users of renewable energy systems to get essential renewable energy insights and enable them to optimize their energy balance. The app will offer weather predictions that will be used for solar, wind, and possibly hydropower energy forecasting, taking account of weather conditions such as temperature, wind speed, cloud cover, and sunlight availability. The information provided by the app will be location-based forecasts since users will input their location to get precise data and weather forecasts. The useful information for renewable energy forecasting will be based on:
An example of the app’s potential for renewable energy generation forecasting, is shown below with the results of some tests done between IG Energy and Easy Hydro of the wind energy forecast for 15 days.
The weather forecast application will provide accurate weather data, enabling the project to adjust energy consumption and production dynamically, thus ensuring efficient use of renewable energy and contributing to the overall goal of improving energy efficiency and reducing greenhouse gas emissions.
By integrating advanced forecasting tools with the operational processes of the demonstration sites, HY4RES will enhance the sustainability and efficiency of the pilot plants’ energy systems, marking an important step toward a more energy-efficient future.
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