Eva Schmid

TL;DR: In this article, the authors present and validate a novel and computational efficient time slice approach that is readily applicable to input data for all kinds of power system models, and illustratively determine representative days for the long-term model LIMES-EU and show that a small number of model days developed in this way is sufficient to reflect the characteristic fluctuations of the input data.

TL;DR: In this article, a power system model combining long time scales of climate change mitigation and power system investments with short-term fluctuations of renewable energy sources (RES) is presented, and the influence of increasingly high temporal resolution on the optimal technology mix is investigated.

TL;DR: In this paper, a model shows how climate targets could be met by 2030 through a politically feasible mix of carbon pricing, low-carbon technology, and energy policy, using a combination of low carbon technology and renewable energy.

TL;DR: In this paper, the authors provide a practical how-to guide based on the collective experience of members of the Open Energy Modelling Initiative (Openmod), including determining intellectual property ownership, choosing a licence and appropriate modelling languages, distributing code and data, and providing support and building communities.

TL;DR: In this article, the authors provide a detailed sectoral impact assessment by analyzing the implications for the electricity sector in terms of economic costs and the regional distribution of investments and shares of electricity generated from renewable energy sources (RES-E).