Skip to main navigation Skip to search Skip to main content

Technical-Economic Analysis of Renewable Energy Storage Systems (ATESAER)

Project Details

Description

Energy storage is the most expensive component in hybrid renewable energy systems, making the analysis of metrics such as price, reliability, and charge/discharge efficiency vital for system design. This project addresses the need for rigorous evaluation by comparing various types of energy storage. The methodology combines experimental testing with detailed simulations using MATLAB/SIMULINK. It requires the construction of specific mathematical models to apply available algorithms within the software. Subsequently, these models will be integrated into a compact system simulated in Simulink, where optimization techniques will be applied. The simulation will run using real input data (solar radiation, water flow velocity) over a full calendar year. The validation and comparison of the results will be achieved by contrasting them with those obtained using Homer (Hybrid Renewable and Distributed Generation System) software, ensuring the robustness and applicability of the conclusions for system design decisions.<br/><br/><b>Goal</b>: <br/>The main objective is to compare different types of energy storage systems for hybrid renewable energy systems, utilizing experimental testing and advanced simulations to evaluate their performance and optimize system design.<br/><br/><b>Research lines</b>: <br/>Optimization and innovation of energy and renewable energies
StatusFinished
Effective start/end date5/12/186/12/19

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Energy Storage
  • Hybrid Renewable Systems
  • System Design
  • Optimization
  • Mathematical Modeling
  • Experimental Testing
  • Reliability
  • Energy Efficiency

CACES Knowledge Areas

  • 317A Electricity and Energy

Categorías UNESCO

  • Electricity and energy

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.