Hohe und unsichere Stromkosten werden von der deutschen Wirtschaft als große Herausforderungen angesehen. Über einen Erneuerbare-Energien-Pool (EE-Pool) könnten derartige Preisrisiken mittelfristig abgesichert werden. Im Poolkonzept werden die günstigen Konditionen wettbewerblicher...

German companies view high and uncertain electricity prices a major challenge. A Renewable Energy Pool (RE-Pool), wherein the favorable conditions of competitive tenders for new wind and solar power projects are passed on to electricity consumers, could hedge such price risks. Consumers'...

New generators located far from consumption centers require transmission infrastructure and increase network losses. The primary objective of this paper is to study signals that affect the location of generation investment. Such signals result from the electricity market itself and from...

Hohe und unsichere Stromkosten werden von der deutschen Wirtschaft als große Herausforderungen angesehen. Über einen Erneuerbare-Energien-Pool (EE-Pool) könnten derartige Preisrisiken mittelfristig abgesichert werden. Im Poolkonzept werden die günstigen Konditionen wettbewerblicher...

German companies view high and uncertain electricity prices a major challenge. A Renewable Energy Pool (RE-Pool), wherein the favorable conditions of competitive tenders for new wind and solar power projects are passed on to electricity consumers, could hedge such price risks. Consumers'...

Policies, markets, and technologies interact to create the modern electrical system. Integrating large amounts of electricity generated by variable renewable resources, such as from wind and sunlight, into electricity systems may require energy storage technologies to synchronize electricity...

This paper investigates the economic impacts of two policy proposals, "Strom ohne Atom" (SOA) and "Moratorium Plus" (MOP), both of which contain a premature phase-out of nuclear power in Switzerland. Based on simulations with an intertemporal multi-sector computable general equilibrium (CGE)...

Modelling price formation in electricity markets is a notoriously difficult process, due to physical constraints on electricity generation and transmission, and the potential for market power. This difficulty has inspired the recent development of bottom-up agent-based algorithmic learning...

Short-term electricity markets are key to an efficient production by generation units. We develop a two-period model to assess different bidding formats to determine for each bidding format the optimal bidding strategy of competitive generators facing price-uncertainty. We compare the results...