Agile digital twin solutions for enhanced utility-scale photovoltaic fleet energy performance

This research project enables internship personnel, guided by their industry sponsors, to develop advanced software features for designing and operating vast solar power farms. Creating a digital twin of the system, these computational models apply the latest solar technologies to efficiently harvest light from the whole environment (sun, sky, and ground) under the complex shading environment caused by terrain with panels moving on mechanical structures. In the design phase, this digital twin allows accurate moment-by-moment prediction of electrical generation for any illumination condition to quantify and de-risk solar power deployments. In the operation phase, it connects the digital twin to real time monitoring, ensuring proper operation, optimizing operation, and forecasting operation. The software runs in the cloud and balances computational cost, accuracy, and speed.

Faculty Supervisor:

Henry Schriemer

Student:

Partner:

Enurgen Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Ottawa

Program: