The iRONS Knowledge Transfer (KT) Notebooks is a set of simple examples to demonstrate the value of simulation and optimisation tools for reservoir operations by application to ‘proof-of-concept’ systems.
This is the list all the Notebooks that are currently included in iRONS including their description and links to run them online:
1.a. Simple example of how to use Jupyter Notebooks: uses a sound wave example to show how to use Jupyter Notebooks and interactive visualization elements. Link
2.a. Calibration and evaluation of a rainfall-runoff model: shows how to calibrate, both manually and automatically, a rainfall-runoff model, which could be used to estimate reservoir inflows. Link
3.a. Recursive decisions and multi-objective optimisation: shows how simulation models and optimisation algorithms can be used to derive optimal release scheduling for a simple water reservoir system. Link
3.b. Decision making under uncertainty: shows how to deal with uncertainty - and the difference between deterministic and stochastic optimisation - when deriving optimal reservoir releases. Link
3.c. Reservoir operating policy: shows how to optimise the operating policy of a water reservoir system (using a “policy search” approach). Link
3.d. Types of reservoir operating policies: shows how to define different operating policies for different reservoir purposes and how to account for variability over the year. Link
If any of the examples, errors or warnings are unclear or you would like to contribute, please contact us.