Open Energy Innovation Marketplace services

BD4OPEM develops access to more than eighteen innovative services to improve Operation and Maintenance, Monitoring and Planning. 
These services will be tried and tested in five pilot sites, all to be available from the BD4OPEM Open Energy Innovation Marketplace.


Asset and investment planning
Modelling tool for selecting technologies contributing to grid reinforcement at any given time.

Asset estimation optimization
Predicting future capacity and remaining useful life for investment planning.



Energy balance/power-voltage inconsistencies
Non-technical study of network state and data inconsistencies real-time.

Fraud pattern detection
Non-technical loss analysis of energy balance in LV networks to detect faults/defects.

Indicator generation
Provides indicators about grid status and its assets at different time horizons.


Retrieval of LV network topology and estimate grid parameters when no/no realistic data is available.

Process to determine theactual observability LV network based on fact (smart metering) not current theory

Predictive maintenance
Risk matrix to determine the probability and consequences of grid failure.

Grid disturbance simulations
Understand origins of disturbances in the grid and evaluate risks to improve supply quality.

Impact study PV, EV & new loads
Before/after performance analysis on network as new PV/EV facilities installed.

Detection of measurement errors
Highlights errors and inconsistencies in customer data.

Flexibility forecasting
Predicting flexibility from small generators/energy storage systems/prosumers.

Flexibility aggregated Service (BRPs)
Use of algorithms to support decision making based on technic and economic criteria.   

Flexibility aggregated services (DSOs)
Decision making support for voltage control services and congestion management. 

EV to Grid 
Analysis of huge amounts of driver data will be collected to estimate the flexibility EVs can bring to the grid.

Loads, generation, energy storage management at individual household or at community level
Analysis of smart meter data and demand response strategies to impact on customer behaviour. 

Demand estimation
Raising household consumer awareness about the impact of their behaviour on load profiles through smart meters.

P2P trading
Applying Distributed Ledger Technology (DLT) to the energy sector