Digital twins

Digital twins integrate data, visualization, and sensors, providing deep insights into asset operations across various sectors, from office occupancy to hospital energy consumption to offshore wind turbine conditions. These insights drive informed decisions, improving asset operations, efficiency, and cost-effectiveness while guiding future design choices. Drawing on our expertise across the built environment, we collaborate with your organization to create digital twins that deliver valuable intelligence every day.

Initial exploration

Data is increasingly recognised as another asset on company balance sheets, one that historically has often gone unnoticed. The ability to review and interpret data – from seasonal changes in sales or changing demand on a nation’s energy network – strengthens an organisation’s ability to pivot its business model, develop new services or anticipate costs. Adopting a digital twin approach can unlock the value of your business data.

All over the world regulators are raising standards for the built environment, so a major part of our work is developing digital twins for existing buildings and assets, retroactively bringing them into the data-intelligence era. Soon a digital twin strategy will be an expectation when proposals are reviewed by investors, insurers and banks. Given the lifespan of assets this is both an urgent and exciting priority. We find out what data you can take advantage of, and how it might be combined to form a compelling business case. Costings are developed including a timeline to return-on-investment.

Develop a digital twin

A digital twin isn’t really ‘a product’. You can’t buy one and simply plug it in. A digital twin is a methodology, a business process that connects something physical to the digital realm within your organisation, enabling a new level of insight and decision-making.

This new level of control allows clients to then optimise the physical component in some way – be it an office, a train, a water network or other complex system or process – creating a virtuous feedback loop. We develop a baseline model from your data and underlying information infrastructure. The situation and challenge vary per sector. Therefore, it is important to make a fit for purpose digital twin based on the specific situation and challenge because there is no ‘one fits all’ twin.