A hatchery of a leading Scottish salmon company is a key location for growing young salmon from parr to smolt in freshwater tanks.
Due to its remote location, the hatchery relied on a generator to provide back-up power to prevent black-outs caused by an unreliable grid supply.
When the site began to increase its energy consumption the incumbent 300 kVA generator became insufficient for the site’s load requirements.
Aggreko was approached for a long-term generator hire package. The customer's intention was to compare this to a purchase option and choose the most financially viable solution.
Aggreko carried out a site survey and suggested that to meet the hatchery’s consumption needs, the old 300 kVA generator would be best replaced initially with a 500 kVA.
It was agreed that should the productivity levels of the site change, and consequently the load demand increase or decrease, the generator would be swapped out for a different size.
During the survey it became apparent that the site's electrical system was insufficient to integrate with a larger generator. To upgrade it would cost money and take time – neither of which had been planned for by the customer.
The Aggreko team therefore proposed to re-design the system in a semi-temporary, cost effective way. For example, purpose-built cable ramps were laid to house cabling, instead of laying them under the road.
To ensure the 500 kVA generator automatically picked up the load if mains power failed, an automatic changeover panel was installed.
Why was Aggreko chosen?
A long-term rental solution from Aggreko proved more advantageous than buying a generator for a number of reasons:
Firstly, hiring a generator prevented the need for capital expenditure sign-off.
It also allowed flexibility, with the ability to increase or decrease the size of the generator, depending on the site’s load requirements.
Finally, Aggreko took away the need for the customer to service and maintain the generator and therefore took on the responsibility of continuously ensuring it remains in optimum condition.