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Virtual Power Plant Value Assessment Modelling Software (SIESVPP) for Optimum Value from SIES VPP control solutions, Renewables, Storage and Flex

Paul Tuohy

Lecturer in Smart Energy Systems at University of Strathclyde Offshore Energy Transition Program

United Kingdom

About

We have developed our SIES VPP Value Assessment Modelling Software and Methods to establish the optimum value available from a VPP monitoring and control platform with advanced model based algorithms and solutions. We have demonstrated it across mulitple energy assets including wind, PV, solar thermal, battery, thermal storage, heat pumps, district heating, transport, EVs, green hydrogen production, industrial process optimisation, local distribution network etc. We also use the models in our SIESVPP Model Predictive Control Algorithms. We also provide a 'Virtual VPP' hardware in the loop test environment for flex / storage / renewable system developers.

Type

  • Validator/Living Lab
  • Technology Partner
  • Project Conception and/or Coordination
  • R&D Partner
  • Demonstrator

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