How to avoid asset meltdown in nuclear power plants

By | 3 minute read | December 15, 2017

We can all imagine the complexity surrounding the workings of a nuclear power plant. Given the level of safety, reliability and regulatory requirements they face, every operation and process needs to be designed and managed with utmost care.  The same is the case with asset management.

Asset management plays a critical role in the operations of a nuclear power plant for the following reasons:

1)    It establish processes to help improve reliability by ensuring the lowest downtime of assets possible

2)    It helps manage the complexity of assets to improve visibility and maintenance optimization. This ensures longer asset life and high returns on investment. This is especially critical in a nuclear power plant where equipment and infrastructure can come at a high cost.

3)    It helps protect the power supply, ensuring it is always available to meet demand

Data from the IoT enables predictive maintenance

 Modern nuclear power plant designs include more IoT sensors than their older counterparts. With these sensors, operators have access to  raw data , which they can feed into a predictive monitoring solution and view actionable insights in real time.

Data collected and analyzed can provide a precise picture of an asset’s state of health (Good, Fair, or Poor) – enabling the discovery of failures and potential failures that otherwise would have been impossible to spot. Predictive maintenance, based on this analysis, enables nuclear power plants to be more proactive and confident in their asset maintenance – potentially avoiding disasters or outages.

With this added insight, plant operators have an advantage in terms of the continuous operation of plant assets and better scheduling of maintenance tasks – which translates into reduced costs.

A specialized solution for the Energy & Utilities industry

Asset and operational management for nuclear power is unique and requires specialized enterprise asset management software. IBM IoT for Energy and Utilities is an open analytics solution that includes a wide range of capabilities to meet current and future needs of nuclear power providers. IBM IoT for Energy and Utilities is built on a foundation of data integration. It can capture and aggregate all relevant sources of information required to run the most advanced analytics across a wide variety of use cases.

Key capabilities offered in IBM IoT for Energy and Utilities are:

Out-of-the-box utility industry applications. They apply a wide range of analytical capabilities to assess asset health and risk—historically and in real-time. It can verify connectivity models in a cost effective way. It can also provide situational awareness—from the equipment level to the grid level – and employ predictive maintenance to proactively address impending asset degradation or failure.

A platform with a range of analytic tools. Combined with visualization, IoT data integration, and data lake capabilities,  the platform can effectively handle the big data needs of the industry and provide a comprehensive view of asset performance across the asset portfolio.

An open approach for extensibility, customizability, and integration of existing utility models. It can also leverage open source analytic tools to complement and extend a provider’s existing information sources and skills.

AREVA NP and IBM team up to aid nuclear power plants with asset management and maintenance

AREVA NP has joined forces with IBM’s Watson IoT advanced analytics platform.  This partnership help utilities implement big data solutions for the nuclear industry.Utilities can use this integrated data intelligence to predict the when, where and why of component operations and performance, as well as the consequences of component issues. This enables the most cost-effective and pre-emptive deployment of maintenance and repair resources.

For more information:

1)    To learn more about the solution or to talk to a sales rep, visit our Marketplace page.

2)    Find out more on the AREVA NP-IBM partnership here