We envision Industrial sites can leverage their flexibility to maximise their level of renewable energy integration and sustainability.

piSCES, is a Smart Clustering Energy System for the Marine industry. Integrating renewable energies in a distributed fashion will form a major tenant of the future smart grid. As renewable energies are variable and intermittent in their nature, it is critical that you can predict their output using modelling techniques based on weather forecasting and environmental conditions locally. Flexibility in an industrial site’s load profile is key and with accurate models, this load can be ramped up or down to suit on-site generation. The cost of electricity on the wholesale market also varies on a half hourly basis. Optimisation algorithms can then be employed to leverage this load flexibility to ensure energy is used at the most economic cost and maximising on-site renewables. The piSCES project successfully trialled the technology with Flexible Production Processes and Thermal Loads in a Cold Store and an Ice Making plant, both in the fish processing industry.  Through arbitrage opportunities, financial savings in the region of 18% for the Cold Store site were achieved by the end of the project.
Key Exploitable Results
  • Prediction models for accurate energy and temperature profiles of flexible loads
  • Renewable energy prediction models for solar based on weather forecasting to ensure accurate, granular on-site energy data available on a day ahead basis. 
  • Optimisation algorithms which plan out the most economic path over 24 hours and ramp up or down flexible loads against market tariffs and on-site renewable energy on a rolling hour by hour basis. System works hard when on-site energy and cheaper tariffs available and reduces load when not, while maintaining the temperature profiles within set constraints.
  • Optimisation system runs every hour and looks ahead to the next 24 hours. This allows it to avail of the latest data and ensures the refrigeration system is running as planned and conforms with the prediction models.
  • European Research Project RegEnergy, developing the technology from piSCES further to bring the functionality from behind the meter to a cluster of prosumers within an energy community achieved
Project partners
Bord Iascaigh Mhara (BIM), Cardiff University, Port of Milford Haven.

Funded by: Interreg Ireland Wales Programme

Overall Budget: €2,282,089

Project duration: 4/2017 - 2/2021

Scope: EU

Microfocus: Controlling flexibilities
Evaluation of technical solutions to offer and trigger flexibilities

Macrofocus: Technical realization
Evaluation of technologies to orchestrate a (high) number of flexibilities by using e.g. software services

Degree of Prosumer & consumer involvement: High
Comprehensive evaluation of their willingness, needs and expectations as the central part of the project

Technical Readiness Level (TRL):


Market Readiness Level (MRL):


Read more on the project website