Designing High-Performance Healthcare Facilities
Learning Objectives:
- Analyze building designs for various performance criteria
- Compare different strategies for daylight, glare, quality views, etc.
- Develop an understanding of their project’s energy consumption and carbon footprint.
- Identify which mechanical systems, envelope assemblies, and other engineering inputs provide the best cost optimization.
Credits:
This course is approved as a Structured Course
This course can be self-reported to the AANB, as per their CE Guidelines
Approved for structured learning
Approved for Core Learning
This course can be self-reported to the NLAA
Course may qualify for Learning Hours with NWTAA
Course eligible for OAA Learning Hours
This course is approved as a core course
This course can be self-reported for Learning Units to the Architectural Institute of British Columbia
This course introduces the general concepts used in building performance and a practical case study on a healthcare facility. Practitioners from the AEC industry will benefit from learning about the need for using daylight to guide design moves along with energy, glare, carbon, and cost in the early design process. Concepts will be demonstrated in an automated web-app but will be broadly applicable to a wide range of tools. A general overview will be followed by step-by-step guidance and a Q&A session.
Photo courtesy of cove.tool
|
Sandeep Ahuja, co-founder of cove.tool, brings her experience of working on over 200 high performance projects. Most recently, Sandeep presented at the UN environment assembly, with 1500 global delegates, on the impact of buildings on climate change, showcased at the Tedx Atlanta and won the Forbes 30 under 30 for developing cove.tool, the automated sustainability consultant. With her desire to bring automation into the AEC world, she is pioneering the integration of data driven thinking into the design and construction process by developing and intelligent software. |
 |
End-to-end automated performance analysis for every team to stay coordinated and on target. Get beautiful analysis graphics for energy, daylight, carbon, and more in-house. Skillfully select the lowest cost and highest performance material components for new construction and renovations. Use machine learning to effortlessly look through thousands of options |
Notice
