National-sectoral emission constraints in PyPSA-based open-source European energy system models.

The proposed sectorial and national-sectorial emissions accounting methods for the PyPSA-Eur-Sec model adds a layer of abstraction to the model that allows decarbonisation at defined rates of individual sectors. PyPSA-Eur-Sec is a sector-coupled energy model of the European energy system and includes the electricity, heating, transportation, and industry sectors. The model and this extension are fully open-source, and all data sources and cost assumptions are openly available.

Principal spatiotemporal mismatch and electricity price patterns in a highly decarbonized networked European power system.

As the European power system decarbonizes, the variability of the mismatch between renewable generation and demand, as well as that of electricity prices, are expected to increase substantially. Because mismatch and prices show complex temporal and spatial interaction, we propose the use of principal component analysis (PCA) to investigate them. We unveil their main spatiotemporal patterns, examine their cross-correlation, and their dependence on the transmission capacity expansion and emissions reduction in a highly renewable cost-optimal electricity model.

Dataset: A proxy for historical CO emissions related to centralised electricity generation in Europe.

This paper presents data for the estimation of carbon dioxide (CO) emissions resulting from public generation of electricity in the period from 1990 to 2018 in European countries. The base data used in the calculation of the proxy are the national emissions reported to the United Nations Framework Convention on Climate Change (UNFCCC) and the European Union (EU) Greenhouse Gas Monitoring Mechanism. Subsequently, this data is compiled and held by the European Environment Agency (EEA) from where it is accessed.