Acting on Simulated Systems cover

A collection of simulated examples of real-world actions explored through interactive dashboards. Each post covers a specific real-world decision problem in turn, demonstrating how simulations can inform real-world action-taking with illustrative (not production-ready) research models. No maths; just diagrams and straightforward descriptions all the way through.

Collection

Acting on Simulated Systems

    Energy demand response optimisation for the national grid

    Grid-scale batteries promise to balance the intermittent renewables of a net-zero electricity system: but how should they be dispatched, and does the answer change as the grid gets greener?

    The simulation below is fitted to five years of NESO half-hourly demand data and tracks how a 100 MW / 200 MWh battery’s state of charge, revenue, and carbon savings evolve under different dispatch strategies and grid mixes.

    Pick a dispatch policy, a grid scenario, and tune the price thresholds; watch how the battery’s revenue and carbon impact evolve over a year.

    Grid battery dispatch policy support: pick a dispatch strategy and grid scenario, tune the trigger thresholds; the simulator (fitted to NESO half-hourly demand data) shows the resulting battery operation, revenue, and carbon savings over a 14-day window. This is a research model fitted to open data, not a trading or operational tool.

    Simulation

     

     

    Live controls
    Dispatch policy
    Grid scenario

    Price-threshold settings

    Carbon-threshold settings

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    The link to this project can be found here.

    Data and licence: This simulation is fitted to half-hourly demand and embedded-generation data from the NESO Data Portal (NESO open data), with carbon-intensity and generation-mix figures from the Carbon Intensity API (CC BY 4.0) and solar estimates from Sheffield Solar PV_Live. The data is used here for illustration only and is not redistributed.