Measuring Impact: What is the Value of Your Green Building?
(A04) Measuring Impact: What Is the Value of Your Green Building?
Tuesday, November 1, 2022
10:15 AM – 11:15 AM
Location: Room 206
Earn 1 Credit(s)
Sponsored By
Design teams are increasingly being asked to justify green building investments and to determine the most cost-effective design strategies to implement on their projects - but how? Participants will learn about the LEED innovation credits they can earn by conducting a triple bottom line analysis (social, environmental, and financial) and how to incorporate these monetized benefits from green building investments to develop business cases for their own healthier, high performance building designs.
The presentation will outline the type of impacts that can be quantified & monetized from green building design like lifecycle costs, whole life carbon, and occupant health allowing design teams to build a business case for sustainability. This session also covers the valuation of improved environmental welfare to the surrounding community from reduced carbon and air pollution, as well as reduced water usage from investments in optimized energy performance, renewable energy production, and water use efficiency. A series of project case studies will outline the triple bottom line impacts that stem from implementing green building design elements - notably the Indeed Tower project in Austin, Texas which is the second largest LEED v4 CS Platinum project in the U.S. and the fifth largest project globally.
Learning Objectives:
Learn what economic impacts can be quantified and monetized from green building design elements across the triple bottom line.
Understand how to create a business case for sustainable design strategies and act on the opportunities that require cost justification.
Develop the ability to communicate the full value of green building projects using social and environmental co-benefits.
Gain knowledge on the tools and LEED v4 & v4.1 BD+C innovation credits available for conducting triple bottom line analyses.