How can we leverage our predicted energy performance data from past projects to inform current projects?

Prior to announcing the Gensler Cities Climate Challenge, our research provided insights to help Gensler make significant year-over-year progress toward our AIA Challenge commitment, which is to reduce the predicted energy performance of our projects by 80% by 2030 compared to a 2003 baseline. While the Gensler Cities Climate Challenge goes beyond this commitment by declaring all of our work will be completely carbon neutral in 2030, this project focused on setting targets for reducing predicted energy performance.

As part of our project, we drafted a proposed roadmap for our energy reduction goals, and created a tool to empower managers to provide customized energy use intensity (EUI) and lighting power density (LPD) targets at the start of a project. The 2030 roadmap identifies the annual percentage improvement in predicted energy performance needed to meet the AIA 2030 Challenge. It then establishes a front-loaded strategy to accelerate sustainability efforts in the next five years to encourage quick progress. The tool goes beyond existing publicly available energy target tools by integrating into Gensler project workflows and including performance data from Gensler’s portfolio.

As part of our project, we drafted a proposed roadmap for our energy reduction goals, and created a tool to empower managers to provide customized energy use intensity (EUI) and lighting power density (LPD) targets at the start of a project. The 2030 roadmap identifies the annual percentage improvement in predicted energy performance needed to meet the AIA 2030 Challenge. It then establishes a front-loaded strategy to accelerate sustainability efforts in the next five years to encourage quick progress. The tool goes beyond existing publicly available energy target tools by integrating into Gensler project workflows and including performance data from Gensler’s portfolio.