Evaluation of Uncertainties in Energy System Optimization using Modeling to Generate Alternatives

Institut

Lehrstuhl für Energiesysteme

Typ

Bachelorarbeit / Semesterarbeit / Masterarbeit /

Inhalt

theoretisch /  

Beschreibung

Energy system optimization models are a widely used tool to provide useful information on the pathway to achieve carbon reduction targets. Based on the given assumptions as well as the defined boundary conditions of the model, the most cost-effective pathway to reach climate goals is determined. Accordingly, these models are often used to support regional energy planning. Due to the high uncertainties in the development of certain input values such as energy carrier and investment costs, the investment decisions in models do not consider the reality of uncertainty. In the real world, decision-makers do not have accurate information about the development of future prices and costs. Especially because of the increasing coupling of the electricity, heating sectors and the volatility of renewable energy supply, conventional energy system planning methods used in practice are reaching their limits. Modeling to Generate Alternatives is a popular method that is used to explore the near-optimal solution space to quantify whether a solution is robust or not. In the context of this work, Modeling to Generate Alternatives Approach should be applied to a small regional energy system.

Voraussetzungen

• Interest in energy systems optimization,

• High motivation and independent, structured way of working.

• Experience in programming with Python (PyPSA) and knowledge of optimization is a plus.

Möglicher Beginn

sofort

Kontakt

Lennart Trentmann, M.Sc.
Raum: 3711
Tel.: (089) 289 16287
lennart.trentmanntum.de

Ausschreibung