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Birger Mo

Chief Scientist

Birger Mo

Chief Scientist

Birger Mo
Phone: 930 86 693
Department: Energy Systems
Office: Trondheim

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1786441

This paper presents a framework for long-term price forecasting in hydro-thermal power systems comprising two modeling layers. A long-term hydro-thermal model expresses the expected future cost as a function of hydro reservoir levels to a short-term operational model. The short-term model re-optimiz...

Year 2020
Type Part of a book/report
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1755831

The aim of this paper is to quantify the value of flexible power generation technologies in Northern Europe in 2030, and in particular hydropower with storage. Two scenarios for the European power system in 2030 are presented. The study uses a fundamental hydrothermal power system model for the comb...

Year 2019
Type Part of a book/report
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1626968

This paper compares the simulation results for two stochastic optimization power market models. EMPS uses aggregation and heuristics to calculate the optimal dispatch. SOVN simulates the operation of the power system in one large linear programming problem taking each single plant and reservoir into...

Authors Graabak Ingeborg Jaehnert Stefan Korpås Magnus Mo Birger
Year 2019
Type Part of a book/report
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1626952

The paper describes how a simulator is used to benchmark TrønderEnergis’ historical operation of one of their hydro systems. The simulator is a data program that simulates daily hydro optimization and scheduling tasks for the historical period 2005 to 2015. The purpose of the benchmark is to ev...

Authors Mo Birger Martino Sara Naversen Christian Øyn Aronsen Gunnar Rismark Ole
Year 2019
Type Part of a book/report
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1617665

This paper describes how snow storage information can be used to improve the hydro operation strategy in a newly developed hydrothermal market simulation model. The model was applied to a detailed description of the Nordic system, and simulation results show that the value of knowledge about the sno...

Authors Mo Birger Helseth Arild Warland Geir
Year 2018
Type Part of a book/report
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1617529

This paper presents a framework for price forecasting in hydro-thermal power systems. The framework consists of a long-term strategic and a short-term operational model. The strategic model provides the end-of-horizon valuation of water in hydro storages as input to the operational model. We emphasi...

Year 2018
Type Part of a book/report