As a solutions provider Creid 7 provides deeper insights that allow our clients to improve their operational efficiency.
Non Intrusive Sensing
In the Energy sector, valve qualification can cost in excess of £50K to conduct the industry standard PR2 test program. Each time a product fails during a test program the testing needs to be repeated. The costs can quickly mount up when you factor additional activities such as the manufacture of new components, along with the engineering to identify the root cause and develop a new solution. This is an iterative process.
Tools such as computational modelling, including finite element analysis (FEA), have helped engineers to simulate product testing that predicts the likelihood of a product passing physical testing, before going to the high expense of manufacturing. This has helped to accelerate development times and reduce the overall cost of development.
However, models are not 100% accurate and physical testing is still conducted to qualify designs to ensure they meet requirements.
The challenge occurs when new products fail qualification testing and it is not possible to physically observe what is happening during testing. Engineers need to disassemble components, conduct failure mode analysis and determine what has led to failure. This can be time consuming and costly, especially when several iterations are required to resolve the issue.
Creid 7 is working with a large OEM to provide non-intrusive sensors that provide real time measurements on several critical components to help validate FEA modelling and provide direct measurements of parameters that were previously inferred or unknown. This helped to:
- Determine seal contact pressure distribution during energisation
- Provide non-intrusive position measurement
- Improve hydraulic fluid condition monitoring during pressure cycling of component
Using our non-intrusive sensors alleviates the need for embedded sensors that potentially have an impact on asset integrity.
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Energy Management Panels
Over the past decade there has been a large investment in renewable energy to reduce the reliance on fossil fuels with an aim to reduce emissions.
The wind does not blow on demand and the sun doesn’t shine at night. Battery storage costs money, and what do you do when the batteries are full but you are still generating electricity beyond current demand?
One method is to create dump loads that effectively use excess electricity without damaging the grid infrastructure. These can be in the form of large heaters.
Some dump loads are simply used as waste heat which is inefficient.
On a small island off the coast of Scotland, the local community uses its own microgrid consisting of 6 wind turbines, a solar panel array and battery bank. The dump loads used to manage the excess generation were radiators located in communal buildings, that were largely unoccupied when the loads were turned on. The local community wanted to find a solution to use the generated electricity more effectively to benefit the islanders, and the environment.
Creid 7 provided control panels for domestic use that detect when there is excess supply to the grid and instead of turning on a dump load heater, the control panel switches on the immersion heater in the hot water tank. The grid conditions were managed much more efficiently whilst providing hot water supply to the local residents.
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Cloud-Based Condition Monitoring
Creid 7 are working with a large valve and pump OEM to provide digital solutions that enable our customer to provide predictive maintenance services on their assets.
We have worked with the client to customise our cloud-based platform to meet their individual requirements and expectations of the system.
During this development Creid 7 have provided engineering services to define the appropriate sensor suite to enable a flexible approach to condition monitoring. Each application can be addressed based on project constraints.
As part of the collaboration the system was tested and validated on the customers site. The monitoring suite was able to detect not only condition of the valve, but process issues with the system pump and pipe blockages. This demonstrated the value of real time monitoring to achieve production optimisation and predictive maintenance.
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