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A review of modelling tools for energy and electricity systems with large shares of variable renewables.

Authors :
Ringkjøb, Hans-Kristian
Haugan, Peter M.
Solbrekke, Ida Marie
Source :
Renewable & Sustainable Energy Reviews. Nov2018, Vol. 96, p440-459. 20p.
Publication Year :
2018

Abstract

Abstract This paper presents a thorough review of 75 modelling tools currently used for analysing energy and electricity systems. Increased activity within model development in recent years has led to several new models and modelling capabilities, partly motivated by the need to better represent the integration of variable renewables. The purpose of this paper is to give an updated overview of currently available modelling tools, their capabilities and to serve as an aid for modellers in their process of identifying and choosing an appropriate model. A broad spectrum of modelling tools, ranging from small-scale power system analysis tools to global long-term energy models, has been assessed. Key information regarding the general logic, spatiotemporal resolution as well as the technological and economic features of the models is presented in three comprehensive tables. This information has been validated and updated by model developers or affiliated contact persons, and is state-of-the-art as of the submission date. With the available suite of modelling tools, most challenges of today's electricity system can be assessed. For a future with an increasing share of variable renewables and increasing electrification of the energy system, there are some challenges such as how to represent short-term variability in long-term studies, incorporate the effect of climate change and ensure openness and transparency in modelling studies. Highlights • We review 75 modelling tools currently used for analysing energy and electricity systems. • Updated and validated key information about the models is presented. • The paper can aid new modellers to choose an appropriate model for their purposes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13640321
Volume :
96
Database :
Academic Search Index
Journal :
Renewable & Sustainable Energy Reviews
Publication Type :
Academic Journal
Accession number :
131772125
Full Text :
https://doi.org/10.1016/j.rser.2018.08.002