• AlternaFuture - Final Report 

      Vereide, Kaspar; Mo, Birger; Forseth, Torbjørn; Lia, Leif; Nysveen, Arne; Dahlhaug, Ole Gunnar; Schäffer, Linn Emelie; Bustos, Ana Adeva; Sundt-Hansen, Line; Øvregård, Eirik; Glimen, Pål; Hesthagen, Trygve; Skår, Margrete; Nielsen, Torbjørn Kristian (HydroCen Report;18, Research report, 2020)
      AlternaFuture has been a multidisciplinary research project in Hydrocen to investigate the potential of extreme upgrading of existing hydropower system with a positive effect on the environmental conditions. The project ...
    • Applying the ProdRisk- SHOP simulator for investment decisions 

      Mo, Birger; Hågenvik, Hans Olaf (HydroCen Report;19, Research report, 2020)
      The report describes status for the ProdRisk-SHOP simulator developed in HydroCen WP 3.3. Development of the simulator was motivated by the need for a tool that can calculate future production revenue for different investment ...
    • Assessing the benefits of exchanging spinning reserve capacity within the hydro-Dominated nordic market 

      Helseth, Arild; Haugen, Mari; Farahmand, Hossein; Mo, Birger; Jaehnert, Stefan; Stenkløv, Inge (Peer reviewed; Journal article, 2021)
      This paper presents a hydrothermal scheduling toolchain suitable for detailed studies of procurement of spinning reserves in the hydro-dominated Nordic power system. The toolchain combines a long-term model to find the ...
    • Demand response with shiftable volume in an equilibrium model of the power system 

      Askeland, Magnus; Jaehnert, Stefan; Korpås, Magnus; Mo, Birger (Chapter; Peer reviewed, 2017)
      A linear complementarity model is extended with volume-shifting demand response. The model is an equilibrium model of the power market. In this paper the model is subjected to a scenario for the northern European power ...
    • Differansen mellom proprietære forsterkningsformler og NAL-NL2 ved REM 

      Brekka, Rune; Mo, Birger; Sverdrup, Tale Nilssen (Bachelor thesis, 2022)
      Sammendrag Bakgrunn: Avhandlingen baserer seg på antagelsen av at “first-fit” tilpasninger ikke gir tilstrekkelig forsterkning, noe som har blitt utforsket ved tidligere studier. Formål: Formålet med ...
    • Differansen mellom proprietære forsterkningsformler og NAL-NL2 ved REM 

      Brekka, Rune; Mo, Birger; Sverdrup, Tale Nilssen (Bachelor thesis, 2022)
      Sammendrag Bakgrunn: Avhandlingen baserer seg på antagelsen av at “first-fit” tilpasninger ikke gir tilstrekkelig forsterkning, noe som har blitt utforsket ved tidligere studier. Formål: Formålet med denne avhandlingen ...
    • Differansen mellom proprietære forsterkningsformler og NAL-NL2 ved REM 

      Brekka, Rune; Mo, Birger; Sverdrup, Tale Nilssen (Bachelor thesis, 2022)
      Sammendrag Bakgrunn: Avhandlingen baserer seg på antagelsen av at “first-fit” tilpasninger ikke gir tilstrekkelig forsterkning, noe som har blitt utforsket ved tidligere studier. Formål: Formålet med ...
    • Hydropower Scheduling with State-Dependent Discharge Constraints: An SDDP Approach 

      Helseth, Arild; Mo, Birger; Hågenvik, Hans Olaf; Schäffer, Linn Emelie (Peer reviewed; Journal article, 2022)
      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 ...
    • Joint Modelling of Wind Power and Hydro Inflow for Power System Scheduling 

      Larsen, Camilla Thorrud; Doorman, Gerard L.; Mo, Birger (Peer reviewed; Journal article, 2016)
      This paper concerns the joint modelling of wind power and hydro inflow for long-term power system scheduling. We propose a vector autoregressive model applied to deseasonalized series to describe the joint generating ...
    • Methods of aggregation and disaggregation - Project results 

      Mo, Birger; Hansen, Ole Martin; Schäffer, Linn Emelie (SINTEF Rapport;, Research report, 2020)
      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 ...
    • Multi-Market Price Forecasting in Hydro-Thermal Power Systems 

      Helseth, Arild; Haugen, Mari; Jaehnert, Stefan; Mo, Birger; Farahmand, Hossein; Naversen, Christian Øyn (Chapter, 2018)
      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 ...
    • Norway as a Battery for the Future European Power System – Comparison of Two Different Methodological Approaches 

      Graabak, Ingeborg; Jaehnert, Stefan; Korpås, Magnus; Mo, Birger (Chapter, 2019)
      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 ...
    • Norway as a Battery for the Future European Power System—Impacts on the Hydropower System 

      Graabak, Ingeborg; Jaehnert, Stefan; Korpås, Magnus; Mo, Birger (Journal article; Peer reviewed, 2017)
      Future power production in Europe is expected to include large shares of variable wind and solar power production. Norway, with approximately half of the hydropower reservoir capacity in Europe, can contribute to balance ...
    • Penalties in ProdRisk - Increased information to the user 

      Mo, Birger (HydroCen brief;Nr. 12, Report, 2021)
      This project has implemented functionality in ProdRisk that gives improved information to the users of ProdRisk about how user specified penalties for violation of different types of physical and environmental constraints ...
    • Pre‐project: Fundamental modelling of a 100 % renewable electricity system 

      Helseth, Arild; Mo, Birger (HydroCen brief;Nr. 15, Report, 2022)
      The memo summarizes the literature review that was carried out as part of the development of the KSP application "RES – Modelling a 100% Renewable Electricity System".