Energy Systems – Digital Solutions - SP5

Research Scientist
462 80 881

This subproject develops generic methods, models and digital tools for analysis and optimisation of integrated offshore energy systems with renewable energy supply, to enable cost-effective designs and reliable and stable energy systems with low or zero CO2 emissions. Integration of various low emission technologies is in focus. Key outputs are digital solutions that leverage optimisation methods, computing power, and the large amount of data available publicly and among operators.

MAIN OBJECTIVE

Consider the integration of low-emission technologies into offshore energy systems and develop methods, models and tools to support design and analysis.

  • Develop and apply tools for optimal lowemission energy system planning and operation
  • Propose and assess power system control strategies for stable and efficient electrical systems with less gas turbines and more power electronics
  • Prepare and submit 2 or more scientific papers
  • Involve 3 PhD students into SP work, and define associated master projects
  • Analyse data and develop data-driven methods to estimate future energy demand on the Norwegian continental shelf

Results 2021

MAIN RESULTS IN 2021

  • The HyOpt investment planning model has been extended to include uncertainty. Documentation
  • has been improved.
  • The Oogeso model for operational optimisation/ simulation has been updated. Open-source code has been tidied up and better documented.
  • The "LEOGO" reference platform specification has been finalised (version 1.0), including a detailed dynamical electrical model for stability analyses. Analyses and comparisons of performance with different energy supply alternatives have been performed.
  • Data-driven methods have been developed and tested with public data to estimate long-
  • term energy demand on the NCS, with initial focus on water injection processes.
  • The feasibility of integrating topside (SP8) and downhole (SP7) models for joint optimisation is ongoing.
  • Several scientific publications have been submitted and accepted in journals and conferences
  • by the three PhD candidates on topics related to controls and optimisation.

IMPACT AND INNOVATIONS

  • The Oogeso and HyOpt software models for energy system optimisation in operation and investment planning can be used by operators and suppliers for decision support or to identify needs. The Oogeso model is presently being integrated with industry software in a spin-off project.
  • The detailed electrical modelling lays the foundation for detailed investigations addressing power system stability with the integration of different kinds of low emission technology (e.g. wind power, fuel cells, variable loads). The use of an open model facilitates knowledge building and information sharing prior to case-specific analyses.

Results 2020

Created an open specification and energy and power system models of an oil and gas reference platform ("LEOGO") for research purposes.

  • Added operational uncertainty to the HyOpt investment planning model.
  • Improved the OffshoreOilandGasEnergySystemOperation (Oogeso) tool.
  • Estimated impact on CO2 emissions and other key indicators for a platform partially supplied with wind energy, using a power management simulator (PPSim) and the Oogeso tool.
  • Investigated inertial and primary frequency support by an energy storage system for an oil and gas platform with wind power supply (submitted for journal publication).
  • Preliminary integration of topside, reservoir and energy system models and analysis of water injection scenarios and impact on CO2 emissions

Impact and innovations

Results 2019

This SP develops generic methods, models and digital tools for analysis and optimisation of offshore energy systems with renewable energy supply, to enable cost-effective, reliable and stable design and operations of hybrid offshore energy systems with low or no CO2 emissions. The focus is on power systems, but heat supply is also considered. A key output will be digital solutions that leverage computing power, digital ecosystems, and the huge amount of data among operators.

Main objective

Integration of low emission technologies – methods, models and digital tools for optimisation and detailed analyses of hybrid offshore energy systems

  • Modelling methods and tools for optimal planning and optimal operation of offshore energy systems, incorporating a range of low emission technologies
  • Models, controls and calculation methods for high-fidelity analyses assessing hybrid system stability
  • Digital tools and frameworks for the integration of tools and data

Main results

  • Review of NCS energy systems, power and heat supply and consumption patterns
  • Initiated required adaptation of existing optimisation models and calculation methods for energy system planning and operational phase decision support
  • Specified relevant electrical configuration  of an offshore hybrid energy system, and initiated development of a power system simulation model for electrical interaction analyses
  • Reviewed digitalisation trends and made high-level specifications for software tool integration framework and data spaces

Impact and innovations

Expected innovations are:

  • improved hybrid energy system design and operational strategies
  • tested solutions ready for actual implementation
  • software modules for integration in digitalised energy management tools
  • analysis methods

Expected impacts are:

  • increased competitiveness of NCS oil/gas due to lower CO2 footprint
  • accelerated development and deployment of technologies valuable beyond oil, such as renewables, hydrogen, storage, offshore grid.
Offshore energy system.