Development of a effective energy management system for hybrid renewable energy systems

As global demand for clean energy rises, hybrid renewable energy systems (HRESs) integrating solar, wind, and energy storage offer opportunities to reduce reliance on fossil fuels. However, the operation and management of HRESs remain a significant challenge due to the inherent variability of renewable resources, technological limitations, and the complex interaction among system components. Therefore, this project involves the development of an Energy Management System (EMS) designed to maximise the efficiency and reliability of HRESs. Utilising the Model Predictive Control (MPC) technique, the proposed EMS performs energy allocation based on power-following principles, with the aim of providing technical and financial feasibility metrics for holistic decision-making. The novel contributions of this work are the consideration of asset degradation and inclusion of both heating and electrical components in the system. As EMS research is a critical emerging field, this project fosters an ongoing research collaboration between the University of British Columbia and University of Technology Sydney. This partnership aims to drive positive social, economic, and industrial impact by accelerating the adoption of HRESs.

Faculty Supervisor:

Christine Chen

Student:

Partner:

University of Technology Sydney

Discipline:

Engineering

Sector:

Education

University:

The University of British Columbia

Program: