Building and calibrating a country-level detailed global electricity model based on public data
Loading...
Files
Published version
Date
2020-12-10
Authors
Brinkerink, Maarten
Ó Gallachóir, Brian P.
Deane, Paul
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Published Version
Abstract
Deep decarbonization of the global electricity sector is required to meet ambitious climate change targets. This underlines the need for improved models to facilitate an understanding of the global challenges ahead, particularly on the concept of large-scale interconnection of power systems. Developments in recent years regarding availability of open data as well as improvements in hardware and software has stimulated the use of more advanced and detailed electricity system models. In this paper we explain the process of developing a first-of-its-kind reference global electricity system model with over 30,000 individual power plants representing 164 countries spread out over 265 nodes. We describe the steps in the model development, assess the limitations and existing data gaps and we furthermore showcase the robustness of the model by benchmarking calibrated hourly simulation results with historical emission and generation data on a country level. The model can be used to evaluate the operation of today's power systems or can be applied for scenario studies assessing a range of global decarbonization pathways. Comprehensive global power system datasets are provided as part of the model input data, with all data being openly available under the FAIR Guiding Principles for scientific data management and stewardship allowing users to modify or recreate the model in other simulation environments. The software used for this study (PLEXOS) is freely available for academic use.
Description
Keywords
Open data , Power system , Power system modelling , Emissions , Global
Citation
Brinkerink, M., Gallachóir, B. Ó. and Deane, P. (2021) 'Building and Calibrating a Country-Level Detailed Global Electricity Model Based on Public Data', Energy Strategy Reviews, 33, 100592 (12 pp). doi: 10.1016/j.esr.2020.100592