Project Summaries

In this case study example, multiple risk factors for the expansion of a hospitality location are evaluated. The evaluation

includes understanding the potential damages from climate change, and the cost of adaptation.

In the case study illustrated here, multiple risk factors for an organization’s primary and supplier locations are evaluated. With over 250 locations spread geographically across the United States, the organization is

vulnerable to multiple climate change impacts.

Resilient Analytics studied the impact of rising temperatures on K-12 schools throughout the United States. Cost of upgrading HVAC, installing HVAC, and additional O&M costs were determined at a school district level.

The rail system in the United States is comprised of over 140,000 miles of

passenger and freight Class 1 rails. Due to recent climate shifts, the rail network is becoming increasingly vulnerable to rising thermal conditions and precipitation shifts.

Resilient Analytics, Inc conducted a study in conjunction with major utilities to

determine the potential impact to field workers. If no adaptation procedures are put in place, it is projected that workplace accidents could increase up to 8% by 2030 and up to 17% in some locations by 2070.

Resilient Analytics has studied the impact of climate change on data centers for a number of organizations. Projected temperature, wildfire, and flood events combined with grid reliability provide future risk analysis for these specialized facilities.

Resilient Analytics, Inc studied the potential impact of climate change on corn production and found that the United States sees increases in growing degree days, but the advantage of the growing season will be offset by the reduction in available water.

Resilient Analytics, Inc analyzed climate impacts on Alaskan infrastructure and the potential costs associated with maintaining and potentially adapting the infrastructure to

projected climate changes. 

Resilient Analytics provided the Welsh government with a perspective on the projected impacts to historic and modern housing stock in multiple areas within the country.