
In this example, real data on the international fuel market and regional demand has been incorporated into a model of a 5.6 GW electricity producing plant, consisting of 14 oil-burning gas turbines with a maximal capacity of 400 MW each. Model predictions are then used to answer the questions: (1) How long will the plant be able to meet customer demand?; and (2) How is the electricity production cost affected by using either Combined Cycle Gas Turbines (CCGT) or Open Cycle Gas Turbines (OCGT)?
Create custom components
Use SystemModeler's built-in tools to custom design modules for the electricity plant.
Use accurate, curated data in your models
Get historic spot oil price data for the Oil Market module using Wolfram|Alpha.
Compare plant designs
Simulate and compare different plant designs in terms of production costs and fuel consumption.
Directly model mass and information flows
Use components from the SystemDynamics library to model things like fuel burn rates, oil consumption, and oil levels in the oil power plant.
Predict market fluctuations
Use the model to predict the variations in supply and demand of electricity.
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