CASE

ARUP

How we helped Arup, a global built environment company, with advanced real estate analytics.

Insights

Arup Group Limited, founded in 1946, is a British multinational corporation that provides global services in all aspects of the built environment in design, engineering, architecture, planning, and consulting. Arup employs around 16 000 people across 35 countries and it has participated in various projects in more than 160 countries.

Dilemma

Around 300 UK councils (United Kingdom) have declared a climate emergency. Councils are taking action to reduce their carbon emissions and working with partners to tackle the impact of climate change locally. There are complex challenges in decarbonizing large portfolios of highly heterogeneous building stocks. Issues in accessing data on buildings and modeling the impacts of retrofit scenarios across thousands of properties mean that the path to net zero is obscured.

Solution

We collaborated with Arup to develop a virtual representation of several thousand properties across three major UK cities. This model included multiple building types and provided a solid baseline for further iteration and scenario analysis. We ran several scenarios focusing on three intervention types:

1) A deep retrofit requiring a significant change to the buildings.
2) A light retrofit that would not require massive alteration. 

3) A do-minimum to investigate a baseline. 

THAT LITTLE SMALL EXTRA THING

By utilizing Skenarios Real Estate and combining our platform and modeling with Arup’s expertise we were able to deliver high-quality analysis for their clients and have since expanded our collaboration to additional projects with central and local Governments around the UK. Skenarios Real Estate allows property data to be collected, collated, and analyzed quickly. It can also provide a set of derived assumptions where data was not available and which can then be updated or replaced.

CASE ARUP
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Our approach frees engineers to provide detailed analysis around interventions, systems design, and to add value rather than spend their time collecting and cleansing data so in addition to reduced cost we can also save you actual time.