Published on 2 Nov 2013
“ The ability to predict where failures are most likely to occur ultimately leads to fewer outages, less emergency maintenance work, and greater total production across our generation infrastructure. This means we can ensure a safe, efficient and reliable supply of electricity to the National Grid while keeping our costs as low as possible. ”
Neil Douglas, Head of IT, Infinis
Energy and Utilities
Infinis is one of the UK’s leading generators of renewable power. Its total installed capacity of 571 MW is generated at 143 sites, including 123 landfill gas plants, 10 onshore wind farms and 10 hydroelectric power plants. The company’s headquarters are in Northampton, and it employs approximately 400 people, of whom around 190 are engineers.
To generate a significant percentage of the UK’s renewable energy, Infinis operates a network of biogas, hydroelectric and wind power plants, distributed throughout the country. Maintaining this extensive infrastructure is a complex proposition.
Infinis has integrated the sensors and alarm systems at its sites with its asset management solution, creating a single incident management system (IMS) that automates the creation of maintenance work orders and helps engineers diagnose and react to problems more quickly.
Provides new insight into the root causes of breakdowns, enabling a more predictive approach to planned maintenance. Contributes to an improvement in mean time between breakdowns and a reduction in mean time to repair. Boosts the total availability of generators, helping to provide a more reliable supply and comply with service level agreements.
IBM products and services that were used in this case study.
Cognos Business Intelligence, Maximo Asset Management, WebSphere Application Server
E&U: Power Generation Optimization (PGO), Asset Management, BA - Business Analytics, Business Integration, BA - Business Intelligence, Business Resiliency, High Availability, Smarter Planet
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