The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Integrating short term variations of the power system into integrated energy system models: A methodological review
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Thring, M. W. (1977) · Electronics and Power · doi:10.1049/ep.1977.0180 · Cited by 7,338
The next generation of scenarios for climate change research and assessment
Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., van Vuuren, D. P., Carter, T. R., Emori, S., Kainuma, M., Kram, T., et al. (2010) · Nature · doi:10.1038/nature08823 · Cited by 6,467
Connolly, D., Lund, H., Mathiesen, B. V., & Leahy, M. (2010) · Applied Energy · doi:10.1016/j.apenergy.2009.09.026 · Cited by 1,631
Linear Programming under Uncertainty
Dantzig, G. B. (1955) · Management Science · doi:10.1287/mnsc.1.3-4.197 · Cited by 1,225
Linear Programming Under Uncertainty
Dantzig, G. B. (2004) · Management Science · doi:10.1287/mnsc.1040.0261 · Cited by 1,173
Energy systems modeling for twenty-first century energy challenges
Pfenninger, S., Hawkes, A., & Keirstead, J. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.02.003 · Cited by 1,164
Energy Technology Perspectives 2020
International Energy Agency (2020) · OECD eBooks · doi:10.1787/ab43a9a5-en · Cited by 1,062
Statistical Models: Theory and Practice
(2006) · Technometrics · doi:10.1198/tech.2006.s403 · Cited by 991
The market value of variable renewables
Hirth, L. (2013) · Energy Economics · doi:10.1016/j.eneco.2013.02.004 · Cited by 923
Scenario reduction and scenario tree construction for power management problems
Growe-Kuska, N., Heitsch, H., & Romisch, W. (2004) · 2003 IEEE Bologna Power Tech Conference Proceedings, · doi:10.1109/ptc.2003.1304379 · Cited by 804
Cited by
Net-zero emissions energy systems
Davis, S. J., Lewis, N. S., Shaner, M., Aggarwal, S., Arent, D., Azevedo, I. L., Benson, S. M., Bradley, T., Brouwer, J., Chiang, Y.-M., et al. (2018) · Science · doi:10.1126/science.aas9793 · Cited by 2,391
Ringkjøb, H.-K., Haugan, P. M., & Solbrekke, I. M. (2018) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2018.08.002 · Cited by 760
Impacts of Inter-annual Wind and Solar Variations on the European Power System
Collins, S., Deane, P., Ó Gallachóir, B., Pfenninger, S., & Staffell, I. (2018) · Joule · doi:10.1016/j.joule.2018.06.020 · Cited by 250
Self-citation
Metadata
- Authors
- Collins, S., Deane, J. P., Poncelet, K., Panos, E., Pietzcker, R. C., Delarue, E., & Ó Gallachóir, B. P.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2017-09
- Volume
- 76
- Pages
- 839-856
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2600788136
- Cited by
- 282
- References
- 70
- FWCI
- 9.62
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Integrating short term variations of the power system into integrated energy system models: A methodological review. https://app.cochat.ai/papers/10.1016/j.rser.2017.03.090
- The paper
- Collins, S., Deane, J. P., Poncelet, K., Panos, E., Pietzcker, R. C., Delarue, E., & Ó Gallachóir, B. P. (2017). Integrating short term variations of the power system into integrated energy system models: A methodological review. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2017.03.090
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.