Assessing and quantifying the impacts of technological, economic, and policy shifts in the global energy system requires large-scale numerical models. We propose a dynamic multi-fuel market equilibrium model that combines endogenous fuel substitution within demand sectors and in power...

The energy transition requires substantial amounts of metals such as copper, nickel, cobalt and lithium. Are these metals a key bottleneck? We identify metal-specific demand shocks, estimate supply elasticities and pin down the price impact of the energy transition in a structural scenario...

Power systems with increasing shares of wind and solar power generation have higher capital and lower operational costs than traditional technologies. This increases the importance of the cost of finance for total system cost. We quantify how renewable policy design can influence cost of finance...

This paper develops a path for the global energy system up to 2050, presenting a new application of the open source energy systems model OSeMOSYS to the community. It allows quite disaggregate energy and emission analysis: GENeSYS-MOD (Global Energy System Model) uses a system of linear...

We examine whether mandatory disclosure of greenhouse gas (GHG) emissions influences companies' GHG emission levels. We identify the disclosure effect by exploiting a mandate requiring UK-incorporated listed companies to disclose information on GHG emissions in their annual reports. Using a...

We examine whether a disclosure mandate for greenhouse gas emissions creates stakeholder pressure for firms to subsequently reduce their emissions. For UK-incorporated listed firms such a mandate was adopted in 2013. Using a difference-in-differences design, we find that firms affected by the...

Industrial demand response can play an important part in balancing the intermittent production from a growing share of renewable energies in electricity markets. This paper analyses the role of aggregators – intermediaries between participants and the electricity market – in facilitating...

Storage devices and demand control may constitute beneficial tools to optimize electricity generation with a large share of intermittent resources through inter-temporal substitution of load. We quantify the related cost reductions in a simulation model of a simplified stylized medium-voltage...

In this paper, we develop the game-theoretic electricity market model ElStorM that includes the possibility of strategic electricity storage. We apply the model to the German electricity market and analyze different realistic and counterfactual cases of strategic and non-strategic pumped hydro...

We analyze the impacts of a hypothetical fleet of plug-in electric vehicles on the imperfectly competitive German electricity market with a game-theoretic model. Electric vehicles bring both additional demand and additional storage capacity to the market. We determine their effects on prices,...