Data centres have long been treated as one-off, large-scale engineering projects.

Whereas, originally, this effort focused on the capital phase of a single construction project, with digital twins we’ll be dealing with the whole life of an asset, and how it relates to, and integrates with,its environment and the other assets around it.That level of data will provide huge knowledge and insight, which in turn will help us to make better decisions supporting our broader set of Design for Value outcomes.

We’ll be able to make decisions about how we want to intervene, and it could end up shaping the policy environment.That’s when we’ll really see the true power and value of data.. A Kit-of-Parts Approach and the Creation of a Digital Marketplace for Construction.In the utopian future state we seek, buildings will increasingly be configured using Platform construction methodologies and a kit-of-parts approach.

The parts will be interoperable and there will be common interface standards and rules.If a new, highly energy-efficient product creates local jobs, then we’ll need a clear route to market for that product, as well as a value-based decision about how it’s deployed.

At the moment, however, this isn’t really possible, because we don’t have a clear set of rules.

We have too many non-interoperable systems and ecosystems.It has a comprehensive imaging department and a large physiotherapy capacity for elective care and rehabilitation services.. And yet it cost 30% less to build than comparable hospitals.. Design to Value - an integrated approach to architecture and construction.

Bryden Wood’s approach is always to apply our integrated design expertise to analyse projects exhaustively, and make sure that we deliver the solution that adds the most value.We question everything, and take nothing for granted, in line with our Design to Value approach.. Design to Value is well understood and applied in the manufacturing industries.

It leads to objective analysis of every aspect of a process, every element of resource requirement, energy consumption, knowledge, and cost.It leads to testing of the value parameters each of these elements is being measured against.