Andreas Hanel

Technische Universität München | TUM · Institute for Energy Systems

Although energy system optimisation based on linear optimisation is often used for influential energy outlooks and studies for political decision-makers, the underlying background still needs to be described in the scientific literature in a concise and general form. This study presents the main equations and advanced ideas and explains further pos...

Energy system models are increasingly being used in politics, industry and science. At the same time, model complexity continues to increase. Different possibilities of computing time reduction are in use, for example rolling horizons and incremental optimisation with reduced foresight. However, the combination of using strongly sector-coupled mode...

A large number of process routes is available for the production of sustainable energy carriers from biogenic residues. Benchmarking these routes usually suffers from a lack of comparable performance data. The present work addresses this through a comprehensive model-based comparison of various biomass-to-X routes. Herein, seven routes (methanol, s...

In an effort to reduce dependency on fossil fuel resources, biomass could essentially be converted into chemicals using high capacity processes. The Fischer–Tropsch Synthesis (FTS) pathway has been chosen as the focus of this book as it is a mature area, and unlike other pathways such as pyrolysis, FTS is a potential way of producing fuel/hydrocarb...

Zunehmend häufiger treten Großereignisse ein, die unsere Energieversorgung beeinflussen. Eine Vielzahl an Instituten untersucht das Deutsche Energiesystem, um mögliche Zukunftsszenarien und Transformationswege zur Erreichung des Klimaschutzes zu identifizieren. In dieser Arbeit werden 54 solcher Systemstudien mit Fokus auf den Deutschen Stromsektor...

Polygeneration plants offer a flexible sector coupling option with the additional benefit of utilizing currently unused biogenic residues or not recyclable waste. The entrained flow gasification-based path e.g. promises largescale handling of various feedstock while keeping high syngas qualities for cogeneration of heat and power or downstream synt...

Several unforeseen events have affected the energy market in recent years, both on the consumer side and on the primary energy supply side. Once again, the question is being asked, which impact conventional power plants can have on Germany’s energy transition. In this work various energy system studies from the last 4 years are evaluated, covering...

A novel approach, combining electrolysis and oxygen-blown entrained flow gasification enables high carbon efficiency for producing sustainable Fischer–Tropsch fuels. This Power-and-Biomass-to-Liquid process combines the concepts of using biomass as the carbon and energy source (Biomass-to-Liquid) and hydrogen as an energy carrier supplied from carb...

The integration of the heat sector alongside the electricity sector in energy system analysis is nowadays widely practiced. However, in order to achieve the planned CO2 emission targets, the mobility and transport sector as well as the chemical sector must be considered. Besides a fully electrification or at least decarbonization of the passenger t...

Unter dem Titel Bayern als Modellregion für die Energiewende haben der Lehrstuhl für Energiesysteme und das ZAE Bayern im Auftrag des BUND Naturschutz in Bayern e. V. eine Studie über die Möglichkeiten einer zu 100 % erneuerbaren Vollversorgung Bayerns in den Sektoren Strom, Wärme und Mobilität erstellt. Die Studie umfasst mehrere Szenarien für ei...

The conversion of H2 and CO2 to liquid fuels via Power-to-Liquid (PtL) processes is gaining attention. With their higher energy densities compared to gases, the use of synthetic liquid fuels is particularly interesting in hard-to-abate sectors for which decarbonisation is difficult. However, PtL poses new challenges for the synthesis: away from syn...

Decisions in energy policy are influenced by the results from energy systems optimizations. Uncertainties regarding the input parameters of optimization problems, e.g. cost developments of technologies and resources in the future, may influence the optimization results in such a way, that an easy interpretation of results is not possible. The metho...