Two-Stage, Multi-objective Optimisation Framework for an Efficient Pathway to Decarbonise the Power Sector

Ruben Bravo vargas, Daniel Friedrich

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

The efficient and flexible design of renewable power plants is key to increase competitiveness of clean technologies and accomplish climate targets. However, renewable power plants that deliver energy only when the renewable source is available produce large fluctuations and increase cost of integration in the wider electricity system. Optimised design of renewable power plants with energy storage increases reliability and decreases integration cost of sustainable technologies. Here we show a two-stage multi-objective optimisation framework to optimise the design and the operation of power plants that combine two or more generation technologies and energy storage, with the aim of producing firm or dispatchable electricity. With the optimisation framework it is possible to handle different technologies to design a sustainable, cost competitive, flexible and dispatchable power plant. Besides, the post-optimisation analysis handles other key performance indicators and provides detailed information that improves the decision making.
Original languageEnglish
Title of host publicationEngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization
Number of pages14
Publication statusPublished - 14 Sept 2018

Keywords / Materials (for Non-textual outputs)

  • Multi-objective optimisation
  • Hybrid Energy System
  • Energy storage
  • System flexibility


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