ADAM : An AI-driven asset management approach using distributed, private datasets

AI Quick Summary

We develop a ‘behind the scenes’ approach allowing multiple operators / facility managers to collaborate on asset intelligence without centralising data. Our target is to create valuable insights and maintenance strategies for buildings, district networks and power grids. Some of the identified benefits are:Reduction of O&M costsIncrease of Assets LifetiimeA common benchmarking through data exchange while maintaining data privacy will be createdFault prediction for higher reliability Decarbonisation and sector coupling are changing the way that infrastructures will be planned, operated and maintained. In order to use the full potential of existing and future assets we need to create intelligent insights and knowledge closer to or even on the devices to allow for an efficient sector interaction and asset management through the whole asset lifetime. Distributed assets is the key element of today's and future energy system, i.e. storage, charging points, heat pumps, transformers, pv arrays etc. Bidirectionality and bottom-up flexibility drive the system to more demanding operating conditions, with higher maintenance costs in order to keep reliability on very high level. Towards this transformation data-driven asset management approaches will play a very significant role.ADAM develops a ‘behind the scenes’ approach allowing multiple operators / facility managers to collaborate on asset intelligence without centralising data. Our target is to create valuable insights and maintenance strategies for buildings, district networks and power grids. The venture is contributing to CO2 Emissions reduction by:Increased network availability to increase renewable energy integrationReduced network lossesReduced maintenance journeys (vehicle pollution)Avoided CO2 emissions during capex / refurb programmes, reduced material and hardware waste

Project Idea Metadata

• Project Idea Name: ADAM : An AI-driven asset management approach using distributed, private datasets
• Date: 4/1/2021 1:49:12 PM
• Administrators:
  • Antonios Papaemmanouil

Project Idea Description

Decarbonisation and sector coupling are changing the way that infrastructures will be planned, operated and maintained. In order to use the full potential of existing and future assets we need to create intelligent insights and knowledge closer to or even on the devices to allow for an efficient sector interaction and asset management through the whole asset lifetime. Distributed assets is the key element of today's and future energy system, i.e. storage, charging points, heat pumps, transformers, pv arrays etc. Bidirectionality and bottom-up flexibility drive the system to more demanding operating conditions, with higher maintenance costs in order to keep reliability on very high level. Towards this transformation data-driven asset management approaches will play a very significant role.

ADAM develops a ‘behind the scenes’ approach allowing multiple operators / facility managers to collaborate on asset intelligence without centralising data. Our target is to create valuable insights and maintenance strategies for buildings, district networks and power grids.

The venture is contributing to CO2 Emissions reduction by:

• Increased network availability to increase renewable energy integration
• Reduced network losses
• Reduced maintenance journeys (vehicle pollution)
• Avoided CO2 emissions during capex / refurb programmes, reduced material and hardware waste

We develop a ‘behind the scenes’ approach allowing multiple operators / facility managers to collaborate on asset intelligence without centralising data. Our target is to create valuable insights and maintenance strategies for buildings, district networks and power grids.

Some of the identified benefits are:

• Reduction of O&M costs
• Increase of Assets Lifetiime
• A common benchmarking through data exchange while maintaining data privacy will be created
• Fault prediction for higher reliability