The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
A review of current challenges and trends in energy systems modeling
Abstract
The requirements made on energy system models have changed during the last few decades. New challenges have arisen with the implementation of high shares of Renewable Energies. Along with the climate goals of the Paris Agreement, the national greenhouse gas strategies of industrialized countries involve the total restructuring of their energy systems. In order to archive these climate goals, fitted and customized models are required. For that reason, this paper focuses on national energy system models that incorporate all energy sectors and can support governmental decision making processes. The reviewed models are evaluated in terms of their characteristics, like their underlying methodology, analytical approach, time horizon and transformation path analysis, spatial and temporal resolution, licensing and modeling language. These attributes are set in the context of the region and time in which they were developed in order to identify trends in modeling. Furthermore, the revealed trends are set in the context of current challenges in energy systems modeling. Combining specified research questions and specific greenhouse gas reduction strategies, this paper will help researchers and decision makers find appropriate energy system models.
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Citations
Cites
Paris Agreement climate proposals need a boost to keep warming well below 2 °C
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Greenhouse-gas emission targets for limiting global warming to 2 °C
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Review of energy system flexibility measures to enable high levels of variable renewable electricity
Lund, P. D., Lindgren, J., Mikkola, J., & Salpakari, J. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.01.057 · Cited by 1,700
Optimization methods applied to renewable and sustainable energy: A review
Baños, R., Manzano-Agugliaro, F., Montoya, F. G., Gil, C., Alcayde, A., & Gómez, J. (2011) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2010.12.008 · Cited by 1,646
Connolly, D., Lund, H., Mathiesen, B. V., & Leahy, M. (2010) · Applied Energy · doi:10.1016/j.apenergy.2009.09.026 · Cited by 1,631
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
OSeMOSYS: The Open Source Energy Modeling System
Howells, M., Rogner, H., Strachan, N., Heaps, C., Huntington, H., Kypreos, S., Hughes, A., Silveira, S., DeCarolis, J., Bazillian, M., et al. (2011) · Energy Policy · doi:10.1016/j.enpol.2011.06.033 · Cited by 850
Electricity market modeling trends
Ventosa, M., Baı́llo, Á., Ramos, A., & Rivier, M. (2005) · Energy Policy · doi:10.1016/j.enpol.2003.10.013 · Cited by 708
Energy implications of future stabilization of atmospheric CO2 content
Hoffert, M. I., Caldeira, K., Jain, A. K., Haites, E. F., Harvey, L. D. D., Potter, S. D., Schlesinger, M. E., Schneider, S. H., Watts, R. G., Wigley, T. M. L., et al. (1998) · Nature · doi:10.1038/27638 · Cited by 692
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Cited by
Battery cost forecasting: a review of methods and results with an outlook to 2050
Mauler, L., Duffner, F., Zeier, W. G., & Leker, J. (2021) · Energy & Environmental Science · doi:10.1039/d1ee01530c · Cited by 499
Metadata
- Authors
- Lopion, P., Markewitz, P., Robinius, M., & Stolten, D.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 96
- Pages
- 156-166
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2886794110
- Cited by
- 294
- References
- 68
- FWCI
- 9.22
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lopion, P., Markewitz, P., Robinius, M., & Stolten, D. (2018). A review of current challenges and trends in energy systems modeling. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2018.07.045
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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.
