This thesis presents a parallel algorithm for non-convex large-scale stochastic optimization problems, specifically scenario-based two-stage stochastic mixed-integer nonlinear programming problems. The method is called the ...

This thesis studies the strategic microgrid design problem, and suggests a multi-horizon stochastic programming approach aiming to provide decision makers with valuable insights into the optimal component sizing in a ...

A stochastic profit maximisation model for operation of a tidal lagoon power plant including production head effects, power market prices and start-up costs is developed. The model is formulated as a two-stage stochastic ...

In an attempt to limit the adverse effects of human-generated greenhouse gas emissions, the EU has set ambitious targets to reduce its domestic CO2-emissions by more than 80 percent from 1990 to 2050. The European power ...

This thesis proposes two mathematical stochastic optimisation models handling two different aspects of uncertainty in the daily problem of deciding start times for a set of surgeries in a single operating room. The uncertainty ...

Salmon farmers face an uncertain production environment and considerable price volatility, making planning a vital success criteria. This thesis describes the sources of uncertainty that are most important when planning ...

The purpose of this work has been to develop a generic framework with a set of indicators, suited for ensuring that technology will be successfully transferred. It was stressed that the framework should be generic, as it ...

European CO2 reduction goals have led to an increase in variable energy sources such as wind and solar, and consequently to an energy system that will need more flexibility in the future. In Norway, the hydropower reservoirs ...

Hydrogen will be important in decarbonized energy systems. The primary ways to produce low emission hydrogen are from renewable electricity using electrolyzers, called green hydrogen, and by reforming natural gas and ...

In this paper, we present bounds for multi-horizon stochastic optimization problems, a class of problems introduced in Kaut et al. (Comput Manag Sci 11:179–193, 2014) relevant in many industry-life applications typically ...