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Birger Mo

Sjefforsker

Birger Mo

Sjefforsker

Birger Mo
Telefon: 930 86 693
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Avdeling: Energisystemer
Kontorsted: Trondheim

Publikasjoner og ansvarsområder

Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/1886288/

The focus of the project "Methods of aggregation and disaggregation" are improved mathematical methods and computer tools for aggregation and disaggregation of hydro power systems in optimization models. These techniques are necessary for calculating the optimal utilisation of hydropower production...

År 2020
Type Rapport
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/1840126/

The aim of this work is to simulate prices in the markets for spot and spinning reserve capacity in the Nordic region. We consider four selected seasonal weeks using a model framework for multi-market price forecasting in hydro-thermal power systems. Five different cases for reserve capacity...

År 2020
Type Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/1826941/

Environmental constraints in hydropower systems serve to ensure sustainable use of water resources. Through accurate treatment in hydropower scheduling, one seeks to respect such constraints in the planning phase while optimizing the utilization of hydropower. However, many environmental constraints...

År 2020
Type Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/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...

År 2020
Type Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/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...

År 2019
Type Vitenskapelig Kapittel/Artikkel/Konferanseartikkel