The impact of going digital

In process engineering, the first thing you’re trying to establish is what the desired outcome is.

Rapid expansion of bio-revolution into various sectors like agriculture, consumer goods, bio-services, bio-computing, bio-informatics, and bio-industry..These advancements, combined with broader societal, political, and economic trends, are projected to double the size of the life science market within the next decade..

The impact of going digital

The challenge: exponential demand, high complexity, & lagging supply.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:.

The impact of going digital

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.

The impact of going digital

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..CFD is traditionally used within data halls and Electrical Plantrooms to assess IT or Electrical Plants (e.g.

UPS), both in normal running (N+X) and failure scenarios (N) and to ensure optimal cooling distribution and equipment performance.By integrating CFD early in the design process we can explore design options available to improve optimisation from both an economic and carbon standpoint..

Embodied carbon for a recent DC project.. MEP systems, especially cooling and power distribution, account for a considerable proportion of a data centre’s embodied carbon.By leveraging CFD, we can effectively minimise this impact by optimising cooling efficiency.