Soft-linking of a power systems model to an energy systems model

Deane, Paul; Chiodi, Alessandro; Gargiulo, Maurizio; Gallachóir, Brian P. Ó

doi:10.1016/j.energy.2012.03.052

Cited by 224 publications

(110 citation statements)

References 12 publications

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“…Attempts in tackling complexity have been made by applying models in a consecutive or interactive manner. For instance, Deane et al [18,19] soft-link an energy system model with a dedicated power system model. Similarly, Trepper et al [20] present an integrated approach to assess potential benefits of market splitting in Germany by connecting a European dispatch model to a detailed unit commitment scheduling model.…”

Section: Complexitymentioning

confidence: 99%

See 1 more Smart Citation

Addressing Energy System Modelling Challenges: The Contribution of the Open Energy Modelling Framework (oemof)

Hilpert¹,

Günther²,

Kaldemeyer³

et al. 2017

Preprint

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These authors contributed equally to this work. AbstractThe process of modelling energy systems is accompanied by challenges inherently connected with mathematical modelling. However, due to modern realities in the 21st century, existing challenges are gaining in magnitude and are supplemented with new ones. Modellers are confronted with a rising complexity of energy systems and high uncertainties on different levels. In addition, interdisciplinary modelling is necessary for getting insight in mechanisms of an integrated world. At the same time models need to meet scientific standards as public acceptance becomes increasingly important. In this intricate environment model application as well as result communication and interpretation is also getting more difficult.In this paper we present the open energy modelling framework (oemof) as a novel approach for energy system modelling and derive its contribution to existing challenges. Therefore, based on literature review, we outline challenges for energy system modelling as well as existing and emerging approaches. Based on a description of the philosophy and elementary structural elements of oemof, a qualitative analysis of the framework with regard to the challenges is undertaken. Inherent features of oemof such as the open source, open data, non-proprietary and collaborative modelling approach are preconditions to meet modern realities of energy modelling. Additionally, a generic basis with an object-oriented implementation allows to tackle challenges related to complexity of highly integrated future energy systems and sets the foundation to address uncertainty in the future. Experiences from the collaborative modelling approach can enrich interdisciplinary modelling activities.Our analysis concludes that there are remaining challenges that can neither be tackled by a model nor a modelling framework. Among these are problems connected to result communication and interpretation.

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Section: Complexitymentioning

confidence: 99%

“…Several approaches for handling some of these challenge exist. Those range from addressing uncertainty [5], integrated modelling [17], model-linking [18][19][20] to transparent modelling [11,21].…”

Section: Introductionmentioning

confidence: 99%

Addressing Energy System Modelling Challenges: The Contribution of the Open Energy Modelling Framework (oemof)

Hilpert¹,

Günther²,

Kaldemeyer³

et al. 2017

Preprint

View full text Add to dashboard Cite

show abstract

“…The SEM system was built in PLEXOS using [13]. These are based on published data from NERA Economic Consultants (2008), KEMA (2007) and Energy Regulation (2011) [14]. GDP grossing function from Gross Domestic Product Preliminary Estimate 2014 association with the growth of economy potential output and population growth curve were used to update 2007-2008 energy load demand of Ireland for the year of 2025 [15].…”

Section: Sem Test Systemmentioning

confidence: 99%

Impact of Electric Vehicles on a Carbon Constrained Power System—A Post 2020 Case Study

Sun¹,

Li²,

Yang³

et al. 2015

JPEE

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Electric vehicles (EVs) offer great potential to move from fossil fuel dependency in transport once some of the technical barriers related to battery reliability and grid integration are resolved. The European Union has set a target to achieve a 10% reduction in greenhouse gas emissions by 2020 relative to 2005 levels. This target is binding in all the European Union member states. If electric vehicle issues are overcome then the challenge is to use as much renewable energy as possible to achieve this target. In this paper, the impacts of electric vehicle charged in the all-Ireland single wholesale electricity market after the 2020 deadline passes is investigated using a power system dispatch model. For the purpose of this work it is assumed that a 10% electric vehicle target in the Republic of Ireland is not achieved, but instead 8% is reached by 2025 considering the slow market uptake of electric vehicles. Our experimental study shows that the increasing penetration of EVs could contribute to approach the target of the EU and Ireland government on emissions reduction, regardless of different charging scenarios. Furthermore, among various charging scenarios, the off-peak charging is the best approach, contributing 2.07% to the target of 10% reduction of Greenhouse gas emissions by 2025.

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“…Multiple authors have recently analysed the impact of temporal detail [10][11][12][13][14][15][16], technical detail [10,11,[17][18][19][20] and spatial detail [21][22][23] employed in long-term planning models. Depending on the representation of integration challenges, low levels of detail can either favour or disfavour VRES: For high penetrations of VRES, If electricity is treated as a homogeneous good or only a low number of averaged time-slices is used, the low level of detail leads to an overestimation of the value of baseload technologies and VRES, while the value of flexible generation technologies with higher generation costs is underestimated [10].…”

Section: Introductionmentioning

confidence: 99%

Integrating short term variations of the power system into integrated energy system models: A methodological review

Collins

Deane

Poncelet

et al. 2017

Renewable and Sustainable Energy Reviews

221

145

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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 renewables and result in mistaken signals regarding the levels of flexibility required in power systems. Capturing power system impacts of variability within integrated energy system models is challenging due to temporal and technical simplifying assumptions needed to make such models computationally manageable. This paper addresses a gap in the literature by reviewing prominent methodologies that have been applied to address this challenge and the advantages & limitations of each. The methods include soft linking between integrated energy systems models and power systems models and improving the temporal and technical representation of power systems within integrated energy systems models. Each methodology covered approaches the integration of short term variations and assesses the flexibility of the system differently. The strengths, limitations, and applicability of these different methodologies are analysed. This review allows users of integrated energy systems models to select a methodology (or combination of methodologies) to suit their needs. In addition, the analysis identifies remaining gaps and shortcomings.

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Soft-linking of a power systems model to an energy systems model

Cited by 224 publications

References 12 publications

Addressing Energy System Modelling Challenges: The Contribution of the Open Energy Modelling Framework (oemof)

Addressing Energy System Modelling Challenges: The Contribution of the Open Energy Modelling Framework (oemof)

Impact of Electric Vehicles on a Carbon Constrained Power System—A Post 2020 Case Study

Integrating short term variations of the power system into integrated energy system models: A methodological review

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