A systematic review of modeling approaches for flexible energy resources
Publication date
2023-07-28
Document type
Ăśbersichtsartikel, Ăśberblicksdarstellung
Organisational unit
Publisher
Elsevier Science
Series or journal
Renewable and Sustainable Energy Reviews
ISSN
Periodical volume
184
Article ID
113541
Peer-reviewed
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Part of the university bibliography
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Language
English
Keyword
Energy flexibility
Demand response
Modeling
Renewable energy resources
Optimization
Smart grids
Systematic review
dtec.bw
Abstract
Due to increasing amounts of energy being supplied by intermittent renewable energy sources, future energy systems need to be able to react flexibly to sudden changes. To address this challenge, a large body of research is devoted to improving the utilization of energy flexibility of various types of energy resources on the supply and demand side. This is commonly done by applying mathematical models. The objective of this paper is to review such models and identify common modeling approaches used to quantify and optimize the use of flexible energy resources. The literature review is conducted systematically, encompassing 215 publications that feature 694 models of different energy resources. The main distinction of this work, in comparison to other reviews on the topic of energy flexibility lies in its focus on the mathematical formulation of models of energy resources and the quantification of the models’ level of detail. The aim is to identify common modeling approaches and the corresponding research problems they address. The review shows that the majority of research efforts are directed towards the management and optimization of distributed energy resources. The most commonly employed modeling approach involves abstract black-box models with limited levels of detail. Linear programming and meta-heuristics are frequently used to optimize energy flexibility. A critical reflection of the current common practice is conducted and recommendations for future research are formulated
Description
This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Version
Published version
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