Skip to main navigation Skip to search Skip to main content

Advanced Optimization of Energy Dispatch in Block H of the Salesian Polytechnic University, Quito South Campus, Using a Predictive Consumption Model and Hybrid Management between Solar Panels and the Electrical Grid

Project Details

Description

This research project, developed by the GIREI group at the Salesian Polytechnic University, focused on optimizing energy consumption in Block H at the Quito South Campus. Addressing the need to improve institutional energy efficiency, the team implemented a predictive demand model and a hybrid dispatch simulation scheme that integrates solar energy with the conventional electrical grid. The methodological approach allowed for the evaluation of various operational and tariff scenarios, providing a solid technical foundation for future energy management strategies. The project addressed consumption variability using statistical and mathematical algorithms, facilitating informed decision-making regarding the use of renewable resources. As a result, the project generated three undergraduate theses and a scientific publication, strengthening the culture of sustainability within the university community. Beyond academic benefits, the developed model is replicable in other buildings, promoting applied innovation and responsible energy use in the national electricity sector.<br/><br/><b>Goal</b>: <br/>Optimize energy dispatch in Block H of the Salesian Polytechnic University through a predictive consumption model and hybrid management between solar panels and the electrical grid. The goal is to improve operational efficiency and reduce reliance on the conventional grid.<br/><br/><b>Research lines</b>: <br/>Microgrids and renewable energies<br/>Planning and management of electrical systems
StatusActive
Effective start/end date7/02/25 → …

Keywords

  • energy efficiency
  • microgrids
  • solar energy
  • predictive model
  • hybrid dispatch
  • sustainability
  • energy management
  • smart grids

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.