Special offer on Halifax courses! Up to $800 cash back on tuition. Act now!

We are excited to offer a special promotion for Passive House Canada courses in Nova Scotia this winter. Through a generous partnership with Efficiency Nova Scotia, you can receive up to an $800 refund on your tuition.

When you register for 120A: Passive House Design and Construction, January 24 – 27, in Halifax, Efficiency Nova Scotia will reimbuse $300 of your tuition. If you also register for 120B: Understanding and Working with the Passive House Planning Package (PHPP), March 01-03, Halifax, Efficiency Nova Scotia will refund $200 of your tuition.

There’s more: You can get an additional $300 cash back if you refer a colleague who registers for 120A.

For more information about the discounts, contact Natalie at Efficiency Nova Scotia at 1-877-999-6035 or [email protected].

Act quickly. Space is limited. This offer applies to only registrations for 120A and 120B in Halifax on the dates indicated above.

The four-day 120A: Passive House Design and Construction course covers the technical, economic and policy elements of Passive House buildings. Participants learn how to apply Passive House principles in the context of building physics, windows and mechanical systems. Numerous case studies, both domestic and international, demonstrate current best practices and teach concepts of cost assessment. Participants also can solidify their learning with interactive exercises throughout the course.

120B: Understanding and Working with the Passive House Planning Package (PHPP) enables you to take on your first Passive House project. It provides step-by-step instructions for using the PHPP energy modelling software, which is essential for designing a Passive House building. Participants learn the structure, inputs and outputs of PHPP, and how to select appropriate climate data sets and record building measurements. Participants model a sample Canadian project to assess building heat loss, energy demand and summertime overheating risk, and look at the reliability of data sources and how design decisions affect building-energy demand.