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Geir Warland

Forsker

Geir Warland

Forsker

Geir Warland
Telefon: 452 20 157
Avdeling: Energisystemer
Kontorsted: Trondheim

Publikasjoner og ansvarsområder

Publikasjoner

Publikasjon

SOVN Model Implementation : method, functionality and details

https://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1479047

The SOVN project ("Stokastisk optimaliseringsmodell for Norden med individuelle vannverdier og nettrestriksjoner") aimed at creating a new fundamental hydro-thermal market model with detailed representation of the hydropower system. The model is based on a combination of optimization and simulation,...

Forfattere Helseth Arild Mo Birger Henden Arild Lothe Warland Geir
År 2017
Type Rapport/avhandling
Publikasjon

Use of Parallel Processing in Applications for Hydro Power Scheduling – Current Status and Future Challenges

https://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1354579

This paper gives an overview of models for hydro power scheduling and market simulation developed at SINTEF Energy Research. All of the models are in operative use by power producers, transmission system operators, consultants and regulators operating in the Nordic power market. Several of the model...

Forfattere Warland Geir Henden Arild Lothe Mo Birger
År 2016
Type Tidsskriftspublikasjon
Publikasjon

Stochastic Optimization Model for Detailed Long-term Hydro Thermal Scheduling Using Scenario-tree Simulation

https://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1331923

The paper presents a case study comparing two models for hydro-thermal scheduling. Both models are tools that can be applied for forecasting and planning in electricity markets, taking into account inter-connected power markets and using detailed hydro modelling. The first model, which is used as th...

Forfattere Warland Geir Mo Birger
År 2016
Type Tidsskriftspublikasjon
Publikasjon

Hydrothermal scheduling in Norway using stochastic dual dynamic programming; a large-scale case study

https://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1288186

We test the stochastic dual dynamic programming (SDDP) approach on a system an order of magnitude larger than previously published studies. The analysis shows that the SDDP-approach can be applied to very large system sizes to solve the hydropower scheduling problem through formal optimisation and o...

År 2015
Type Del av bok/rapport
Publikasjon

Verification of a model for handling of pumped storage for large scale market balancing

https://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1069409

With an increasing amount of intermittent renewable energy sources, such as wind and solar energy, there will also be an increasing demand for balancing power. Hydropower, and pumped storage in particular, can be an efficient way of providing the needed flexibility. Hydropower scheduling, particular...

Forfattere Warland Geir Mo Birger Haugstad Arne Erick
År 2013
Type Del av bok/rapport
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