The development of European power markets is highly influenced by integrated electricity and heat systems. Therefore, decarbonization policies for the electricity and heat sectors, as well as numerical models that are used to guide such policies, should consider cross-sectoral interdependencies....

Climate target achievement has a crucial influence on the modelling and the decision processes in the energy sector. It induced the development of several policy instruments to mitigate greenhouse gas emissions, including administrative and market-based mechanisms for phasing out coal-fired...

The European electricity industry, the dominant sector of the world’s largest cap-and-trade scheme, is one of the most-studied examples of carbon pricing. In particular, numerical models are often used to study the uncertain future development of carbon prices and emissions. While parameter...

In this paper, empirically determined retrieval probabilities for control power are investigated. Since there is a continuous need for balancing unscheduled deviations of supply and demand, control power is of very high importance for the stability of the power system. Systems that are...

Decision makers of municipal energy utilities responsible for future portfolio strategies are confronted with making informed decisions within the scope of continuously evolving systems. To cope with the increasing flexibility of customers, and their autonomous decision-making processes,...

Against the background of the energy transition accompanied by a rising penetration of renewable energy (REN) sources and a stepwise phase out of conventional power plants in order to fulfill climate protection targets, the requirements for a reliable transmission grid infrastructure increased...

Modeling the diffusion of innovations is a very challenging task, as there are various influencing factors to consider. At the same time, insights into the diffusion process can help decision makers to detect weak points of potential business models. In the literature, various models and...

Despite their relevance for adoption levels in spatial analyses, previous studies on adoption intention excluded measures characterizing the living environment of participants such as population density and previous photovoltaic (PV) installations so far. To fill this gap, this study was...

This paper investigates market-based decarbonization, driven by carbon pricing, and under different regulatory settings. These consist of a conventional energy-only market (EOM), an EOM with operating reserve demand curve (ORDC) and a capacity market (CM). We find that contrary to previous...