View of a lit up petrochemical refinery plant at night.

Eliminating equipment failure and reducing costs during a turnaround

Eliminating equipment failure and reducing costs during a turnaround

  • The Challenge

    Avoiding costly equipment failure during a turnaround

  • The Solution

    24/7 remote monitoring and data collection

  • The impact

    No equipment failures and significant cost savings for future turnarounds

Client:A major refinery

Location:Houston, Texas

Sectors:Petrochemical and refining

The Challenge

Avoiding costly equipment failure during a turnaround

All refineries need to carry out regular maintenance and upgrades to ensure the safety of staff and to keep equipment operating efficiently. In the past, the refinery had encountered issues with equipment failures during these turnarounds, which led to increased costs and delays to the schedule and ultimately affected productivity and profitability.

So, they asked Aggreko to support them with complete 24/7 remote monitoring to reduce the risk of equipment failure. They also wanted to collect data from all the equipment to allow them to right size for the future and ensure they always had the right amount of power in the right location.

56total units utilized and monitored
$28,000future cost savings identified
Zeroequipment failures
turnaround

The Solution

24/7 remote monitoring and data collection

We used Aggreko Remote Monitoring (ARM) to connect all the equipment and keep track of it for the full 46-day turnaround at our Remote Operations Center (ROC). The site was fully mapped out and spare parts were put on standby so that any alerts could be resolved before equipment failed.

The equipment included 24 tier 4 final generators, five batteries, one compressor, ten electrical distribution panels, three MPZs, two air conditioners, four chillers, and one cooling tower. The ROC captured 24/7 data from all the equipment so it could report on how and where it was being used and if it could be reduced for future turnarounds to save costs. Most importantly, this included data on how much power was being provided by each generator to each of the 10 substations at the site.

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