Common barriers facing architecture firms
- Integrating future climate data with their existing design process
- Having the in-house skillset to understand climate data outputs to inform design
- Increased project costs from either purchasing data or hiring outside expertise
Engaging with stakeholders
The City of St. Louis Park had ultimate decision-making power on the project, but wanted to integrate input from a variety of stakeholders and partners, including Nature Center staff and local community members. This would ensure that the center was designed with user needs in mind. The center invited key stakeholders to a climate resilience workshop early on, sharing information about future local climate conditions and discussing implications for the City and the project.
Taking action
Because HGA had in-house expertise and could incorporate future climate data into existing design tools, the future climate data added no additional cost to the project aside from the cost of the files themselves. Nature Center management, meanwhile, made some design tradeoffs to achieve their goal of a net-zero design in a changing climate. For example, they opted to make some of their spaces smaller to reduce construction costs, prioritizing the building's energy performance over building larger classrooms.
Lessons learned
Human behavior is a key element in climate-smart design
- Small design elements can encourage climate-smart behavior, such as a green light in the Nature Center staff office that indicates when conditions are right to open the windows for passive cooling.
- Flat solar panels are more energy efficient than angled panels, but staff time and expertise is needed to clean off flat panels after a snowfall. If this in-house capacity is unavailable, it would be smarter to install angled solar panels.
Adaptation decisions are not made through data alone
- HGA had resources and access to highly technical data, but found their analysis often confirmed insights from existing in-house and City staff expertise.
- Pairing professional expertise with climate projections and community needs creates usable and long-lasting results.
Citations
Hall, et al., 1978. Generation of a typical meteorological year.
HGA, 2024. Design Team Interview.
Belcher, et al., 2005. Constructing design weather data.
Dickinson and Brannon, 2016. Generating future weather files.
Troup and Fannon, 2016. Morphing future weather data.
Photos: © Corey Gaffer