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Throughout our experience in the K12 Practice Area, we have seen and measured how daylight can positively affect students’ performance and general wellbeing, but how can we keep good daylight levels under the pressure of a tight schedule and the aggressive performance goals of a Net Zero Energy project?


This is a story of how you can make smart design decisions in fast-paced educational projects using live performance data. Through computational analysis and iterative design teamwork, daylight is maximized, and high-quality learning environment spaces are generated without having to sacrifice the project's performance.

Time Slot
1

Session Chairs

Room / Location
Marina 3
Learning Objectives
Explore the correlation of daylight in education environments with high test scores, high attendance, and high enrollment rates.
Analyze iterative and collaborative workflows that support smart design decisions in a fast-paced project.
Demonstrate how the design process can be informed by performance analysis and data analytics for optimal daylight quality levels, while achieving ambitious energy conservation measures.
Illustrate how collaboration between academia, the design industry, and stakeholders can lead to design teams making data driven integrated decisions.
CEU Information
Attendance for each full conference day offers 4.5 credit hours for both RESNET and MA CSL licensure.
CEU Credits
AIA: 1.5 LU|HSW
GBCI: 1.5 Hours (BD+C, ID+C, WELL)
NARI: 1.5 Hours
PHIUS: 1.5 Hours
Session ID
BOS22-204
Event Start Time
Event End Time