Modeling flexibility in energy systems — comparison of power sector models based on simplified test cases

Gils, Hans Christian; Gardian, Hedda; Kittel, Martin; Schill, Wolf-Peter; Zerrahn, Alexander; Murmann, Alexander; Launer, Jann; Fehler, Alexander; Gaumnitz, Felix; Ouwerkerk, Jonas van; Bußar, Christian; Mikurda, Jennifer; Torralba-Díaz, Laura; Janßen, Tomke; Krüger, Christine

doi:10.1016/j.rser.2021.111995

Cited by 21 publications

(11 citation statements)

References 35 publications

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“…Several review articles feature the models used for 100% RE systems analyses in general [631], [632], [633], [634], [635], [629], [636], while some analyze the progress achieved for a single model [620], [619], [625], or single geographic applications [64], or limit their focus only on the group of open-source models [637], [638]. Three reviews analyze models in concrete test cases for model intercomparison [629], [636], [639].…”

Section: Literature Reviewmentioning

confidence: 99%

Review on 100% Renewable Energy System Analyses—A Bibliometric Perspective

Khalili

Breyer

2022

IEEE Access

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Concerns related to climate change and global warming caused by anthropogenic activities and in particular fossil energy use have been increasing lately. Air pollution and volatile conventional fuel prices emphasize the need to transition the energy system towards very high shares of renewables. 100% renewable energy systems have been analyzed by many researchers starting from 1975. This bibliometric analysis reviews more than 600 scientific articles in which 100% renewable energy systems were surveyed. This study uses tools of bibliometric analysis, based on publication databases and data mining, together with review elements to understand the current status and trend of 100% renewable energy systems research. The focus of results is on quantitative parameters relating to number and publication types, collaborative links among authors, institutions, and countries. Collaborative networks provide the significant concentration of published papers within organizations and co-authorships globally. The results reveal that the dominant organizations and thus number of published papers are from Europe and the USA; however, almost all the established research organizations in the field of energy system analysis are not active in the field of 100% renewable energy systems analyses. The journals Energy and Applied Energy have the most articles, and accordingly the most citations. EnergyPLAN and LUT Energy System Transition Model have been the most active tools used to analyze 100% renewable energy systems according to numbers of articles and received citations. The topic of modeling approach indicates the term 'Energy System' has the highest frequency due to its emergence in the articles. This research provides a holistic overview on the more than four decades of research, and it reveals dynamics within the field with a compound annual growth rate of articles of 26% for the 2010s, the trend of publications, and author growth that comprises now almost 1400 authors with articles in the field.

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Section: Literature Reviewmentioning

confidence: 99%

Review on 100% Renewable Energy System Analyses—A Bibliometric Perspective

Khalili

Breyer

2022

IEEE Access

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“…Some examples for the sub-category vi) "installed capacities of storages and transmission units" are storage capacity [31], storage expansion capacity and transmission grid expansion capacity [26]. Some examples for the sub-category vii) "curtailments and excess energy" are annual VRE curtailment [32], curtailment [24] and critical excess electricity production [33]. Some examples for the sub-category viii) "hourly generation and storage profiles" are the hourly mean of discharge and charge flows [30], hourly energy balances of the week with the highest residual load [30], hourly electricity generation and demand response load reduction [32].…”

Section: Comparison Of Frameworkmentioning

confidence: 99%

Comparison methods of energy system frameworks, models and scenario results

Prina

Nastasi

Groppi

et al. 2022

Renewable and Sustainable Energy Reviews

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“…However, the complexity of the conducted scenarios impede the identification of drivers of individual differences. To gain a deeper understanding of the underlying effects and drivers of capacity expansion model outcomes from different models, simplified scenarios can be useful [10].…”

Section: State Of Researchmentioning

confidence: 99%

“…Across all use cases, input data is completely harmonized, including techno-economic parameters, VRE capacities, annual demand as well as the corresponding time series. The full input data set is provided in this issue (Gils et al [10]). The highly simplified design of the use cases enables linking the differences in models outcomes to model specifics, and does not intend to realistically represent the future European energy system.…”

Section: Scenario Set-up and Data Collectionmentioning

confidence: 99%

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Comparison of power sector models by analyzing the impact of modeling features on optimal capacity expansion

Ouwerkerk¹,

Gils²,

Gardian³

et al. 2021

Preprint

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The transition towards decarbonized energy systems requires the expansion of renewable and flexibility technologies in power sectors. In a model comparison, we examine the optimal expansion of such technologies with six capacity expansion power system models. The technologies under investigation include baseand peak-load power plants, electricity storage, and transmission. We define four highly simplified and harmonized use cases that focus on the expansion of only one or two specific technologies to isolate their effects on model results. We find that deviating assumptions on limited availability factors of technologies cause technology-specific deviations between optimal capacity expansion in models in almost all use cases. Fixed energy-to-power-ratios of storage can entirely change model optimal expansion outcomes, especially shifting the ratio between short-and long-duration storage. Fixed initial and end storage levels can impact the seasonal use of long-duration storage. Models with a preordered dispatch structure significantly deviate from linear optimization models, as limited foresight and flexibility can lead to higher capacity investments. A

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Modeling flexibility in energy systems — comparison of power sector models based on simplified test cases

Cited by 21 publications

References 35 publications

Review on 100% Renewable Energy System Analyses—A Bibliometric Perspective

Review on 100% Renewable Energy System Analyses—A Bibliometric Perspective

Comparison methods of energy system frameworks, models and scenario results

Comparison of power sector models by analyzing the impact of modeling features on optimal capacity expansion

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