Battery Energy Storage Systems: Design & Modelling
Upcoming Live Online Course Dates: Jan. 6, 8, 13, & 15, 2026
This course is delivered online through Zoom. A link will be mailed to registrants one week before the first class.
Note: You can also purchase this course as an on-demand video recording.
Course Description
This course focuses on residential and commercial battery energy storage for both interactive and stand-alone PV systems less than 1 MW. Utility-scale battery energy storage is not discussed.
Recommended for
This course is intended for electricians, technicians, engineers, solar installers, and others who have prior knowledge of solar PV and electrical systems.
Prerequisites/required knowledge
We recommend that you take Solar PV Systems: Design and Modelling before signing up for this course, OR that you have a strong background in solar PV system design. It is assumed that participants have prior knowledge of:
Electrical terminology and electrical equipment
Ohm’s Law, Kirchoff’s Laws, and the relationship between energy and power
Solar PV module electrical I-V curve characteristics
Grid-interactive solar PV system sizing and equipment
Participants are encouraged to have a current copy of the Canadian or Alberta Electrical Code, although it is not required.
General Learning Outcomes
In this course, you will learn to:
Identify various battery-based solar PV system configurations
Evaluate site conditions and electrical loads for solar PV systems with energy storage
Choose battery-based solar PV system configurations to meet specific requirements
Interpret specifications for major components of battery-based solar PV systems
Specify major components of stand-alone and grid-interactive solar PV systems to meet site conditions and performance criteria using energy storage
Specify the Balance of System (BOS) components of battery-based PV systems
Apply appropriate sections of the Canadian Electrical Code to battery-based solar PV system design
Interpret schematics of battery-based solar PV systems
Be introduced to modelling and optimization