SUPR
Stochastic optimization with applications in energy conversion processes
Dnr:

NAISS 2024/22-726

Type:

NAISS Small Compute

Principal Investigator:

Niklas Lundström

Affiliation:

Umeå universitet

Start Date:

2024-05-15

End Date:

2025-06-01

Primary Classification:

10105: Computational Mathematics

Webpage:

Allocation

Abstract

We construct management strategies for power plants (hydro, wind and combined) with continuously adjustable units. We estimate unknown variables via simple mathematical models of e.g. river flow and electricity price using historical data and forecasts. Our optimization approach rely on dynamic programming principles which demand comprehensive numerical calculations.