Kevin Griffiths

To create a well-orchestrated assembly line with productive workers carrying out pre-determined, standardised and well-understood tasks in predictable timeframes..

For labs we will therefore update this drawing at every design stage and use for quick reference..Maintaining the client lab equipment list with all the necessary services is a must.

As the information becomes more detailed, the list should be updated to reflect the latest information.Most issues we come across on a project are due to missing services or undefined duties within the laboratory equipment list.. Labs without extracting equipment can follow the Chartered Institution of Building Services Engineers (CIBSE) guidance for air change rates, with supplementary cooling required from internal units such as fan coil units.For spaces requiring close temperature control, we do not use refrigerant-to- air cooling..

In labs with extracting equipment, especially fume cupboards, the make-up air required may be a very high volume and allow for centralised air cooling.We always review the possibility of variable-volume fume cupboards to reduce the energy demand, whilst being aware that the stack discharge on fume cupboards must remain constant, which means the fans will require a bleed damper to allow make-up air to enter the fan to maintain constant efflux velocity.

With any fume extracting system, we will ensure the material of construction throughout the entire system is suitable for the extracted fumes.

Solvents and acids are particularly good at corroding metal, such as the metal fixing a fire damper to a wall..Instead, it’s a federated system allowing different parties to find and use data from other sources, and to check whether they’re allowed to do so..

However, certain problems remain.The first is that someone might not be sure whether the data they’re looking for even exists, and the second involves the requirements under which the data was gathered.

It’s important to understand any inconsistencies there might be in the collection of data, because without understanding those types of quirks and failings, it’s hard to know how useful the data might be.Additionally, the further the data gets from its intended use, the less useful it is.