Simulation & Modelling

The area asks which decisions can be derived from models and how conclusions change with assumptions, coupling and uncertainty.

Research question

Which decisions can be derived from models, and how do conclusions change with assumptions, coupling and uncertainty?

A model is only as informative as its assumptions allow. The Simulation & Modelling research area therefore makes visible which assumptions, coupling decisions and uncertainties change a conclusion, using discrete-event simulation, simplified energy models, sensitivity analysis and model comparison.

Three projects run in the scenario: Uncertainty in Municipal Maintenance Models (completed in the scenario), Coupled Heat and Power Scenarios and Maintenance Windows in Small Production Chains (both ongoing). Model data and source knowledge are always kept apart.

Projects in this area

  1. P04

    Uncertainty in Municipal Maintenance Models

    The project uses abstract assets to test which assumptions change a maintenance priority list most. Completed in the scenario; outputs are illustrative.

    Completed

    Public infrastructure

  2. P05

    Coupled Heat and Electricity Scenarios

    The ongoing project examines when the coupling time step between a heat model and an electricity model changes the assessment of load peaks and thus the conclusion.

    Ongoing

    Energy

  3. P06

    Maintenance Windows in Small Production Chains

    The ongoing project compares maintenance rules on an abstract three-station line and asks how they affect throughput and waiting times.

    Ongoing

    Industry

Publications via the projects