2017
DOI: 10.1016/j.rser.2017.03.090
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Integrating short term variations of the power system into integrated energy system models: A methodological review

Abstract: It is anticipated that the decarbonisation of the entire energy system will require the introduction of large shares of variable renewable electricity generation into the power system. Long term integrated energy systems models are useful in improving our understanding of decarbonisation but they struggle to take account of short term variations in the power system associated with increased variable renewable energy penetration. This can oversimplify the ability of power systems to accommodate variable renewab… Show more

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Cited by 222 publications
(146 citation statements)
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References 80 publications
(142 reference statements)
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“…The fine-grained model is originally a term of the computer industry which indicates to subdivide the objects of business models to get more scientific and reasonable object models, [9][10][11]. As for the comprehensive energy business model, the object models include:…”
Section: Ies Refinement Modellingmentioning
confidence: 99%
“…The fine-grained model is originally a term of the computer industry which indicates to subdivide the objects of business models to get more scientific and reasonable object models, [9][10][11]. As for the comprehensive energy business model, the object models include:…”
Section: Ies Refinement Modellingmentioning
confidence: 99%
“…The need for long samples poses a computational challenge since accurately modelling systems with significant shares of VRE generation also requires high temporal resolution. Previous studies indicate that models with low resolution fail to capture VRE output fluctuations and underestimate required flexible and dispatchable generation capacity (De Jonghe et al, 2011;Poncelet et al, 2016;Collins et al, 2017;Kotzur et al, 2018). For many realistic PSMs, it is computationally unfeasible to solve the optimisation problem using both a long sample of data and a high temporal resolution (Pfenninger, 2017).…”
Section: The Computational Cost Of Weather and Climate Variabilitymentioning
confidence: 99%
“…All models that use time steps and a static approach assume that fast phenomena have reached equilibrium at the end of the time step used. It should be noted, that the selection of an appropriate time interval is critical as different time-steps can lead to deviations in the results [5][6][7]. MES modelling approaches that focus on the integration of RES, [8] recommend 15-min time-steps.…”
Section: State Of Research In Modelling Multi-energy Systems (Mes)mentioning
confidence: 99%