A data processing approach with built-in spatial resolution reduction methods to construct energy system models.

ABSTRACT: Introduction: Data processing is a crucial step in energy system modelling which prepares input data from various sources into a format needed to formulate a model. Multiple open-source web-hosted databases offer pre-processed input data within the European context. However, the number of documented open-source data processing workflows that allow for the construction of energy system models with specified spatial resolution reduction methods is still limited. Methods: The first step of the data-processing method builds a dataset using web-hosted pre-processed data and open-source software. The second step aggregates the dataset using a specified spatial aggregation method. The spatially aggregated dataset is used as input data to construct sector-coupled energy system models

SUBMITTER: Fleischer CE 

PROVIDER: S-EPMC10446009 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature