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DfMA is not, therefore, a revolutionary concept for M&E services.

Laboratories support all stages of the life science value-chain, from R&D to manufacturing and diagnostics, and exponential market growth means exponential demand for lab space..In addition to this rising demand, life science businesses and developers looking to deploy labs face additional challenges, including:.

A lack of existing lab space in some locations already today.In Cambridge and Oxford for example (two of the UK’s main life science hubs), demand for labs now outstrips available supply by nearly a hundred to one.Existing labs are increasingly not fit for purpose, incompatible with new science, technology, or regulations, or are simply in poor condition.. Supply-chain issues that are also impacting the wider construction industry, such as a shortage of materials or skilled labour, and which are increasingly competing against other major global challenges such as climate change or the housing crisis..

Lab projects that are relatively complex, with key issues including compliance (quality, safety, environment, permitting), difficulty in predicting the future (science, technology, sales forecasts), multiple stakeholders, and projects that require significant coordination during design and construction.. To solve this mounting challenge we need a solution that can deploy labs at speed..Rapid Deployment with Fast Lab.

Maximise Lab Design with Fast Lab.

Fast Lab connects decisions on science and technology to the lab design, cost, programme, and key business metrics.This process has two main components.

Firstly, modelling the data hall in 3D with the restart times of all equipment inputted into the model.And secondly, constructing a 'Flow Network' to represent the chilled water system, which interfaces with the 3D model to provide mutual feedback during the simulation.

Through this comprehensive analysis, we can evaluate the performance of both the data hall and chilled water system at every stage of the outage and subsequent restart, thereby validating the resilience of the design and providing a level of assurance..This analysis allows for the optimisation of design elements, such as UPS, to ensure inclusion only where necessary, leading to significant cost savings and a reduction in embodied carbon.